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values | few_shots
dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
human_resources
|
How many employees are there in the "Miami" office?
|
Miami office refers to locationcity = 'Miami'
|
SELECT COUNT(*) FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID WHERE T2.locationcity = 'Miami'
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,954 | 8,954 |
CREATE TABLE `location`
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT
)
CREATE TABLE `employee`
(
locationID INTEGER,
foreign key locationID references locationlocationID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 7 |
simple
|
{
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480,
771
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1135,
1136,
1137
]
}
|
human_resources
|
Who is the highest paid employee in "Boston"? Give the full name.
|
Boston refers to locationcity = 'Boston'; the highest paid employee refers to MAX(salary); full name = firstname, lastname
|
SELECT T1.firstname, T1.lastname FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID WHERE T2.locationcity = 'Boston' ORDER BY T1.salary DESC LIMIT 1
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,955 | 8,955 |
CREATE TABLE `location`
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT
)
CREATE TABLE `employee`
(
lastname TEXT,
firstname TEXT,
salary TEXT,
locationID INTEGER,
foreign key locationID references locationlocationID
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 9 |
simple
|
{
"case_1": [
480,
771
],
"case_2": [
480,
771
],
"case_3": [
164,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
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901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
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915,
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918,
922,
923,
924,
925,
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927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
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949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
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985,
986,
987,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1076,
1077,
1078,
1080,
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1116,
1118,
1119,
1122,
1123,
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1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1139,
1141
]
}
|
human_resources
|
Who is the employee in “New York City” with a good performance? Give the social security number of the employee.
|
New York City refers to locationcity = 'New York City'; good performance refers to performance = 'Good'; social security number refers to ssn
|
SELECT T1.firstname, T1.lastname, T1.ssn FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID WHERE T2.locationcity = 'New York City' AND T1.performance = 'Good'
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,956 | 8,956 |
CREATE TABLE `location`
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT
)
CREATE TABLE `employee`
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
performance TEXT,
locationID INTEGER,
foreign key locationID references locationlocationID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
480,
771
],
"case_2": [
480,
771
],
"case_3": [
164,
480,
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],
"case_4": [
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1008,
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1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
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1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
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1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
How many "account representatives" are there in Chicago with a good performance?
|
account representatives is a position title; Chicago refers to locationcity = 'Chicago'; good performance refers to performance = 'Good'
|
SELECT COUNT(*) FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID INNER JOIN position AS T3 ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Account Representative' AND T2.locationcity = 'Chicago' AND T1.performance = 'Good'
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,957 | 8,957 |
CREATE TABLE `location`
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT
)
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT
)
CREATE TABLE `employee`
(
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key locationID references locationlocationID,
foreign key positionID references positionpositionID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
164,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
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12,
14,
16,
18,
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20,
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691,
692,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
707,
710,
711,
712,
714,
715,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
730,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
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800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
820,
822,
823,
824,
825,
827,
828,
829,
830,
831,
832,
833,
834,
835,
837,
838,
839,
841,
843,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
903,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
945,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
965,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
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1087,
1089,
1091,
1092,
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1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
What is Kenneth Charles's position title?
|
Kenneth Charles is the full name of an employee; full name = firstname, lastname
|
SELECT T2.positiontitle FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.firstname = 'Kenneth' AND T1.lastname = 'Charles'
|
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,958 | 8,958 |
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT
)
CREATE TABLE `employee`
(
lastname TEXT,
firstname TEXT,
positionID INTEGER,
foreign key positionID references positionpositionID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
164,
859
],
"case_2": [
164,
859
],
"case_3": [
164,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
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272,
275,
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277,
278,
279,
280,
281,
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299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
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313,
314,
315,
316,
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318,
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320,
321,
322,
323,
324,
325,
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330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
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378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
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663,
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670,
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674,
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681,
682,
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684,
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686,
687,
688,
690,
691,
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695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
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725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
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750,
751,
752,
753,
754,
755,
756,
758,
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902,
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970,
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980,
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988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
Give the full address of the office of the highest paid manager.
|
the highest paid refers to MAX(salary); manager is a position title
|
SELECT T2.address FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID INNER JOIN position AS T3 ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Manager' ORDER BY T1.salary DESC LIMIT 1
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,959 | 8,959 |
CREATE TABLE `location`
(
locationID INTEGER
constraint location_pk
primary key,
address TEXT
)
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT
)
CREATE TABLE `employee`
(
salary TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key locationID references locationlocationID,
foreign key positionID references positionpositionID
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
164,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
619,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
664,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1076,
1077,
1078,
1080,
1082,
1083,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1139,
1141
]
}
|
human_resources
|
What is the max salary for 'Tracy Coulter' if he/she stays on his/her position?
|
Tracy Coulter is the full name of an employee; full name = firstname, lastname
|
SELECT T2.maxsalary FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.firstname = 'Tracy' AND T1.lastname = 'Coulter'
|
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,960 | 8,960 |
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
maxsalary TEXT
)
CREATE TABLE `employee`
(
lastname TEXT,
firstname TEXT,
salary TEXT,
positionID INTEGER,
foreign key positionID references positionpositionID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
164,
859
],
"case_2": [
164,
859
],
"case_3": [
164,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
If Jose Rodriguez tried his best, how many percentage can his salary raise without changing his position?
|
Jose Rodriguez is the full name of an employee; full name = firstname, lastname; calculation = DIVIDE(SUBTRACT(maxsalary, salary), salary) * 100
|
SELECT 100 * (CAST(REPLACE(SUBSTR(T2.maxsalary, 4), ',', '') AS REAL) - CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) / CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL) AS per FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.firstname = 'Jose' AND T1.lastname = 'Rodriguez'
|
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,961 | 8,961 |
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
maxsalary TEXT
)
CREATE TABLE `employee`
(
lastname TEXT,
firstname TEXT,
salary TEXT,
positionID INTEGER,
foreign key positionID references positionpositionID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"SUBSTR",
"CAST",
"FROM"
] | 17 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
164,
859
],
"case_3": [
164,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
How many employees whose performance is poor have a salary of over $50,000 per year?
|
performance is poor refers to performance = 'Poor'; salary of over $50,000 refers to salary > '50000'
|
SELECT COUNT(*) FROM employee WHERE performance = 'Poor' AND CAST(REPLACE(SUBSTR(salary, 4), ',', '') AS REAL) > 50000
|
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,962 | 8,962 |
CREATE TABLE `employee`
(
salary TEXT,
performance TEXT
)
|
[
"AS",
"AND",
"SELECT",
"SUBSTR",
"CAST",
"COUNT",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
164,
480,
859
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
2,
4,
5,
6,
8,
10,
11,
12,
16,
19,
20,
21,
22,
24,
26,
27,
30,
32,
33,
35,
36,
37,
39,
40,
44,
45,
47,
50,
51,
52,
53,
55,
57,
61,
62,
63,
64,
66,
67,
68,
69,
71,
73,
74,
75,
76,
77,
82,
85,
86,
87,
88,
89,
90,
91,
93,
95,
96,
98,
99,
106,
109,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
131,
138,
140,
141,
142,
143,
144,
146,
148,
152,
154,
158,
159,
160,
163,
164,
167,
169,
170,
172,
175,
176,
177,
179,
180,
183,
184,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
200,
201,
202,
206,
212,
214,
215,
219,
223,
225,
226,
227,
229,
230,
233,
234,
236,
239,
240,
243,
244,
247,
248,
254,
256,
258,
259,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
282,
286,
294,
296,
299,
300,
301,
303,
304,
305,
311,
314,
315,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
356,
358,
360,
361,
364,
367,
368,
370,
373,
374,
375,
376,
380,
382,
383,
384,
385,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
406,
408,
409,
411,
412,
413,
414,
416,
417,
418,
419,
421,
423,
424,
425,
426,
427,
428,
433,
436,
437,
438,
440,
443,
444,
445,
446,
447,
448,
451,
452,
453,
454,
455,
458,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
473,
475,
476,
477,
478,
480,
482,
483,
484,
485,
487,
488,
490,
493,
494,
496,
497,
498,
500,
504,
505,
507,
509,
510,
512,
514,
515,
516,
517,
519,
520,
522,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
552,
554,
557,
558,
559,
560,
561,
562,
563,
564,
566,
573,
575,
580,
581,
582,
584,
586,
588,
589,
591,
594,
595,
596,
597,
601,
605,
606,
608,
610,
611,
612,
613,
615,
618,
620,
623,
624,
625,
626,
627,
630,
632,
633,
634,
637,
641,
643,
645,
646,
648,
649,
651,
654,
656,
658,
659,
661,
662,
663,
665,
666,
667,
668,
669,
671,
675,
676,
677,
678,
680,
681,
683,
684,
685,
686,
687,
688,
690,
692,
693,
694,
696,
697,
699,
702,
705,
707,
710,
712,
714,
715,
718,
719,
721,
726,
727,
730,
733,
734,
735,
736,
739,
740,
741,
743,
744,
746,
747,
749,
750,
752,
753,
754,
756,
758,
760,
762,
763,
765,
767,
768,
769,
772,
773,
775,
776,
777,
778,
779,
780,
783,
787,
788,
790,
793,
795,
796,
797,
798,
799,
800,
802,
804,
806,
807,
808,
810,
812,
813,
814,
817,
818,
819,
820,
824,
825,
827,
829,
830,
831,
832,
835,
838,
839,
841,
843,
844,
848,
849,
851,
853,
857,
858,
859,
860,
861,
866,
867,
870,
873,
874,
876,
877,
878,
879,
886,
888,
892,
893,
894,
895,
896,
897,
898,
901,
902,
903,
905,
907,
909,
911,
912,
913,
915,
917,
918,
922,
923,
924,
926,
927,
928,
930,
931,
932,
934,
935,
941,
943,
944,
945,
949,
950,
951,
953,
954,
956,
958,
959,
961,
963,
965,
969,
974,
975,
977,
981,
985,
986,
991,
993,
996,
998,
1000,
1001,
1004,
1005,
1006,
1008,
1010,
1011,
1013,
1014,
1015,
1017,
1019,
1020,
1022,
1023,
1027,
1031,
1037,
1039,
1042,
1043,
1044,
1046,
1047,
1050,
1051,
1058,
1059,
1061,
1062,
1063,
1064,
1067,
1068,
1069,
1070,
1071,
1072,
1075,
1078,
1079,
1080,
1082,
1084,
1086,
1087,
1092,
1094,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1112,
1113,
1115,
1119,
1121,
1123,
1124,
1126,
1128,
1131,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
Who is the employee with the highest salary? Specify his/her full name.
|
the highest salary refers to MAX(salary); full name = firstname, lastname
|
SELECT firstname, lastname FROM employee WHERE CAST(REPLACE(SUBSTR(salary, 4), ',', '') AS REAL) = ( SELECT MAX(CAST(REPLACE(SUBSTR(salary, 4), ',', '') AS REAL)) FROM employee )
|
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,963 | 8,963 |
CREATE TABLE `employee`
(
lastname TEXT,
firstname TEXT,
salary TEXT
)
|
[
"AS",
"SELECT",
"SUBSTR",
"CAST",
"FROM",
"MAX"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
6,
10,
16,
24,
35,
61,
64,
72,
77,
87,
89,
93,
106,
113,
119,
120,
148,
152,
184,
189,
192,
195,
201,
212,
215,
219,
223,
225,
226,
234,
236,
241,
248,
254,
261,
264,
267,
271,
278,
300,
304,
316,
317,
322,
323,
335,
347,
360,
367,
375,
380,
382,
383,
386,
406,
409,
412,
423,
448,
451,
452,
453,
458,
466,
476,
478,
483,
485,
487,
498,
500,
504,
510,
517,
527,
529,
535,
537,
540,
547,
557,
560,
563,
564,
565,
575,
580,
581,
597,
620,
623,
633,
658,
661,
662,
676,
686,
690,
710,
740,
744,
750,
753,
762,
772,
787,
795,
796,
798,
800,
802,
808,
810,
813,
832,
841,
845,
870,
874,
894,
896,
898,
909,
912,
913,
922,
924,
926,
932,
943,
958,
959,
985,
998,
1004,
1008,
1023,
1062,
1064,
1069,
1070,
1072,
1075,
1078,
1082,
1087,
1118,
1121,
1128
]
}
|
human_resources
|
How many positions have a maximum salary of no more than US$1000,000?
|
maximum salary of no more than US$1000,000 refers to maxsalary < '100000';
|
SELECT COUNT(*) FROM position WHERE CAST(REPLACE(SUBSTR(maxsalary, 4), ',', '') AS REAL) < 100000
|
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,964 | 8,964 |
CREATE TABLE `position`
(
maxsalary TEXT
)
|
[
"AS",
"SELECT",
"SUBSTR",
"CAST",
"COUNT",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
164
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
2,
4,
6,
10,
11,
16,
22,
24,
27,
30,
35,
36,
37,
47,
51,
53,
55,
61,
62,
63,
64,
68,
69,
73,
74,
75,
77,
82,
86,
87,
88,
89,
91,
93,
96,
98,
106,
113,
115,
117,
118,
119,
120,
121,
125,
126,
131,
140,
142,
143,
146,
148,
152,
159,
160,
164,
167,
169,
170,
175,
179,
183,
184,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
201,
202,
206,
212,
214,
215,
219,
223,
225,
226,
227,
229,
233,
234,
236,
243,
244,
247,
248,
254,
256,
261,
264,
267,
268,
269,
271,
276,
277,
278,
286,
299,
300,
301,
303,
304,
311,
314,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
358,
360,
364,
367,
370,
373,
374,
375,
380,
382,
383,
384,
391,
392,
394,
401,
403,
406,
409,
411,
412,
416,
417,
423,
424,
426,
436,
443,
444,
445,
447,
448,
451,
452,
453,
454,
458,
460,
462,
464,
465,
466,
467,
469,
471,
473,
476,
477,
478,
483,
484,
485,
487,
488,
490,
493,
500,
504,
505,
509,
510,
515,
516,
517,
519,
520,
526,
527,
532,
535,
536,
537,
538,
540,
542,
544,
547,
548,
552,
554,
558,
559,
560,
563,
564,
566,
573,
575,
580,
581,
582,
595,
596,
597,
606,
608,
611,
613,
620,
623,
627,
630,
632,
633,
634,
641,
645,
646,
649,
654,
658,
659,
661,
662,
663,
665,
668,
669,
671,
676,
681,
686,
687,
688,
690,
694,
696,
705,
710,
712,
714,
721,
727,
733,
734,
735,
736,
739,
740,
743,
744,
749,
750,
752,
753,
756,
760,
762,
768,
769,
772,
778,
779,
787,
790,
795,
796,
797,
798,
799,
800,
802,
804,
808,
810,
812,
813,
814,
818,
819,
824,
827,
830,
832,
838,
839,
841,
849,
851,
853,
857,
866,
867,
870,
874,
876,
877,
886,
888,
893,
894,
896,
897,
898,
901,
902,
909,
911,
912,
913,
915,
917,
918,
922,
923,
924,
926,
927,
930,
934,
935,
941,
943,
950,
951,
954,
956,
958,
959,
961,
963,
969,
975,
977,
981,
985,
986,
993,
996,
998,
1004,
1005,
1006,
1008,
1010,
1011,
1013,
1015,
1022,
1023,
1037,
1042,
1043,
1047,
1050,
1051,
1058,
1062,
1064,
1067,
1069,
1070,
1071,
1072,
1075,
1078,
1082,
1084,
1086,
1087,
1094,
1100,
1101,
1103,
1104,
1106,
1112,
1113,
1119,
1121,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
human_resources
|
How much is the salary of the first ever employee that was hired?
|
first-ever employee that was hired refers to MIN(hiredate)
|
SELECT salary FROM employee ORDER BY hiredate ASC LIMIT 1
|
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,965 | 8,965 |
CREATE TABLE `employee`
(
hiredate TEXT,
salary TEXT
)
|
[
"SELECT",
"ORDER BY",
"LIMIT",
"ASC",
"FROM"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
1,
10,
11,
13,
15,
17,
20,
28,
29,
36,
38,
43,
49,
55,
59,
62,
69,
73,
75,
78,
86,
89,
108,
110,
121,
125,
133,
138,
150,
159,
162,
163,
167,
173,
174,
179,
181,
185,
187,
188,
199,
200,
202,
206,
208,
213,
229,
233,
239,
247,
252,
262,
263,
275,
278,
281,
285,
286,
291,
309,
311,
313,
314,
319,
320,
324,
328,
329,
334,
336,
337,
341,
342,
345,
348,
349,
352,
353,
356,
359,
364,
365,
371,
373,
378,
379,
381,
385,
394,
395,
400,
403,
404,
409,
411,
428,
429,
434,
435,
444,
445,
451,
454,
460,
462,
469,
482,
495,
497,
505,
530,
532,
534,
536,
538,
542,
548,
552,
555,
560,
566,
567,
576,
578,
579,
583,
584,
586,
590,
592,
595,
611,
619,
621,
625,
626,
634,
637,
638,
645,
654,
657,
659,
664,
665,
669,
681,
688,
690,
691,
698,
701,
703,
708,
713,
719,
732,
733,
735,
748,
752,
759,
760,
768,
778,
790,
803,
810,
815,
818,
823,
827,
830,
836,
850,
851,
861,
866,
869,
876,
886,
889,
891,
893,
901,
911,
918,
927,
929,
934,
946,
950,
951,
953,
954,
956,
962,
963,
966,
967,
970,
972,
973,
975,
977,
981,
983,
987,
989,
994,
1004,
1005,
1006,
1010,
1013,
1017,
1024,
1025,
1030,
1034,
1037,
1038,
1047,
1049,
1050,
1051,
1056,
1057,
1065,
1067,
1068,
1075,
1076,
1077,
1083,
1094,
1124,
1137,
1139,
1141
]
}
|
human_resources
|
How much is the minimum salary given to the position with the most complex work?
|
most complex work refers to MAX(educationrequired); minimum salary refers to minsalary
|
SELECT minsalary FROM position ORDER BY educationrequired DESC LIMIT 1
|
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,966 | 8,966 |
CREATE TABLE `position`
(
educationrequired TEXT,
minsalary TEXT
)
|
[
"SELECT",
"ORDER BY",
"LIMIT",
"FROM",
"DESC"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
1,
10,
11,
13,
15,
17,
20,
28,
29,
36,
38,
43,
49,
55,
59,
62,
69,
73,
75,
78,
86,
89,
108,
110,
121,
125,
133,
138,
150,
159,
162,
163,
167,
173,
174,
179,
181,
185,
187,
188,
199,
200,
202,
206,
208,
213,
229,
233,
239,
247,
252,
262,
263,
275,
278,
281,
285,
286,
291,
309,
311,
313,
314,
319,
320,
324,
328,
329,
334,
336,
337,
341,
342,
345,
348,
349,
352,
353,
356,
359,
364,
365,
371,
373,
378,
379,
381,
385,
394,
395,
400,
403,
404,
409,
411,
428,
429,
434,
435,
444,
445,
451,
454,
460,
462,
469,
482,
495,
497,
505,
530,
532,
534,
536,
538,
542,
548,
552,
555,
560,
566,
567,
576,
578,
579,
583,
584,
586,
590,
592,
595,
611,
619,
621,
625,
626,
634,
637,
638,
645,
654,
657,
659,
664,
665,
669,
681,
688,
690,
691,
698,
701,
703,
708,
713,
719,
732,
733,
735,
748,
752,
759,
760,
768,
778,
790,
803,
810,
815,
818,
823,
827,
830,
836,
850,
851,
861,
866,
869,
876,
886,
889,
891,
893,
901,
911,
918,
927,
929,
934,
946,
950,
951,
953,
954,
956,
962,
963,
966,
967,
970,
972,
973,
975,
977,
981,
983,
987,
989,
994,
1004,
1005,
1006,
1010,
1013,
1017,
1024,
1025,
1030,
1034,
1037,
1038,
1047,
1049,
1050,
1051,
1056,
1057,
1065,
1067,
1068,
1075,
1076,
1077,
1083,
1094,
1124,
1137,
1139,
1141
]
}
|
human_resources
|
What is the full office location address where most of the employees work at?
|
full office location address = address, locationcity, state, zipcode; location where most employees work at refers to MAX(locationID)
|
SELECT T2.address, T2.locationcity, T2.state, T2.zipcode FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID GROUP BY T2.address, T2.locationcity, T2.state, T2.zipcode ORDER BY COUNT(*) DESC LIMIT 1
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,967 | 8,967 |
CREATE TABLE `location`
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER
)
CREATE TABLE `employee`
(
locationID INTEGER,
foreign key locationID references locationlocationID
)
|
[
"GROUP BY",
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"COUNT",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
164
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
4,
6,
10,
11,
13,
15,
16,
20,
22,
27,
28,
29,
30,
36,
37,
47,
49,
51,
53,
55,
59,
62,
63,
68,
69,
73,
74,
75,
77,
78,
82,
86,
88,
89,
91,
93,
96,
98,
106,
108,
113,
115,
117,
118,
119,
121,
125,
126,
131,
138,
140,
142,
143,
146,
148,
150,
152,
159,
160,
162,
163,
164,
167,
169,
170,
173,
175,
179,
183,
184,
185,
187,
188,
189,
190,
191,
196,
197,
199,
200,
202,
206,
212,
213,
214,
225,
226,
227,
229,
233,
234,
239,
243,
244,
247,
252,
254,
256,
261,
262,
267,
268,
269,
275,
276,
277,
278,
281,
285,
286,
291,
299,
301,
309,
311,
313,
314,
316,
317,
319,
320,
323,
324,
325,
329,
330,
334,
335,
336,
338,
339,
341,
342,
344,
345,
348,
349,
352,
353,
354,
356,
358,
359,
360,
364,
365,
370,
371,
373,
374,
375,
378,
379,
381,
382,
383,
384,
385,
391,
392,
394,
395,
401,
403,
406,
409,
411,
412,
416,
417,
424,
426,
428,
429,
434,
435,
436,
444,
445,
448,
451,
454,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
482,
484,
487,
488,
490,
493,
495,
497,
500,
505,
509,
515,
516,
519,
520,
526,
530,
532,
535,
536,
537,
538,
542,
544,
547,
548,
552,
558,
559,
560,
563,
564,
566,
567,
573,
578,
579,
580,
581,
582,
584,
586,
590,
592,
595,
596,
597,
606,
608,
611,
613,
620,
621,
625,
626,
627,
630,
632,
633,
634,
637,
638,
641,
645,
646,
649,
651,
654,
657,
658,
659,
662,
663,
664,
665,
668,
669,
671,
681,
687,
688,
690,
691,
694,
696,
698,
701,
703,
705,
712,
714,
719,
720,
721,
727,
733,
734,
735,
736,
739,
740,
743,
748,
749,
750,
751,
752,
753,
756,
759,
760,
762,
768,
769,
772,
778,
779,
787,
790,
796,
797,
799,
800,
802,
803,
804,
810,
812,
813,
814,
818,
819,
823,
824,
827,
830,
838,
839,
841,
849,
850,
851,
853,
857,
861,
866,
867,
869,
870,
874,
876,
877,
882,
886,
888,
889,
891,
893,
896,
897,
898,
901,
902,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
929,
930,
932,
934,
935,
943,
950,
951,
953,
954,
956,
958,
961,
962,
963,
966,
967,
969,
970,
972,
973,
975,
977,
981,
983,
985,
986,
987,
993,
994,
996,
1004,
1005,
1006,
1010,
1013,
1015,
1017,
1022,
1023,
1025,
1030,
1034,
1037,
1038,
1042,
1043,
1047,
1049,
1050,
1051,
1056,
1057,
1058,
1062,
1064,
1065,
1067,
1068,
1071,
1072,
1076,
1077,
1078,
1082,
1084,
1086,
1087,
1091,
1094,
1100,
1101,
1103,
1104,
1106,
1112,
1119,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
human_resources
|
What is the average salary of all employees with a 2 year degree position?
|
2 year degree refers to educationrequired = '2 year degree'; calculation = DIVIDE(SUM(salary), COUNT(positiontitle))
|
SELECT AVG(CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T2.educationrequired = '2 year degree'
|
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,968 | 8,968 |
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
educationrequired TEXT
)
CREATE TABLE `employee`
(
salary TEXT,
positionID INTEGER,
foreign key positionID references positionpositionID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"AVG",
"SUBSTR",
"CAST",
"FROM"
] | 10 |
simple
|
{
"case_1": [
164,
859
],
"case_2": [
164,
859
],
"case_3": [
164,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
How many male Regional Managers are there?
|
male refers to gender = 'M'; Regional Managers is a position title
|
SELECT COUNT(*) FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T2.positiontitle = 'Regional Manager' AND T1.gender = 'M'
|
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,969 | 8,969 |
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT
)
CREATE TABLE `employee`
(
gender TEXT,
positionID INTEGER,
foreign key positionID references positionpositionID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
164,
859
],
"case_2": [
164,
859
],
"case_3": [
164,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
35,
36,
37,
39,
40,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
109,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
230,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
507,
509,
510,
511,
512,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
554,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
618,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
680,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
692,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
707,
710,
711,
712,
714,
715,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
730,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
820,
822,
823,
824,
825,
827,
828,
829,
830,
831,
832,
833,
834,
835,
837,
838,
839,
841,
843,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
903,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
945,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
965,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1079,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
Which position has the highest amount of poor performing employees?
|
poor performing employees refers to performance = 'Poor'; the highest amount of employees refers to MAX(positiontitle)
|
SELECT T2.positiontitle FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.performance = 'Poor' GROUP BY T2.positiontitle ORDER BY COUNT(T2.positiontitle) DESC LIMIT 1
|
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,970 | 8,970 |
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT
)
CREATE TABLE `employee`
(
performance TEXT,
positionID INTEGER,
foreign key positionID references positionpositionID
)
|
[
"GROUP BY",
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"COUNT",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
164
],
"case_3": [
164
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
4,
6,
10,
11,
13,
15,
16,
20,
22,
27,
28,
29,
30,
36,
37,
47,
49,
51,
53,
55,
59,
62,
63,
68,
69,
73,
74,
75,
77,
78,
82,
86,
88,
89,
91,
93,
96,
98,
106,
108,
113,
115,
117,
118,
119,
121,
125,
126,
131,
138,
140,
142,
143,
146,
148,
150,
152,
159,
160,
162,
163,
164,
167,
169,
170,
173,
175,
179,
183,
184,
185,
187,
188,
189,
190,
191,
196,
197,
199,
200,
202,
206,
212,
213,
214,
225,
226,
227,
229,
233,
234,
239,
243,
244,
247,
252,
254,
256,
261,
262,
267,
268,
269,
275,
276,
277,
278,
281,
285,
286,
291,
299,
301,
309,
311,
313,
314,
316,
317,
319,
320,
323,
324,
325,
329,
330,
334,
335,
336,
338,
339,
341,
342,
344,
345,
348,
349,
352,
353,
354,
356,
358,
359,
360,
364,
365,
370,
371,
373,
374,
375,
378,
379,
381,
382,
383,
384,
385,
391,
392,
394,
395,
401,
403,
406,
409,
411,
412,
416,
417,
424,
426,
428,
429,
434,
435,
436,
444,
445,
448,
451,
454,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
482,
484,
487,
488,
490,
493,
495,
497,
500,
505,
509,
515,
516,
519,
520,
526,
530,
532,
535,
536,
537,
538,
542,
544,
547,
548,
552,
558,
559,
560,
563,
564,
566,
567,
573,
578,
579,
580,
581,
582,
584,
586,
590,
592,
595,
596,
597,
606,
608,
611,
613,
620,
621,
625,
626,
627,
630,
632,
633,
634,
637,
638,
641,
645,
646,
649,
651,
654,
657,
658,
659,
662,
663,
664,
665,
668,
669,
671,
681,
687,
688,
690,
691,
694,
696,
698,
701,
703,
705,
712,
714,
719,
720,
721,
727,
733,
734,
735,
736,
739,
740,
743,
748,
749,
750,
751,
752,
753,
756,
759,
760,
762,
768,
769,
772,
778,
779,
787,
790,
796,
797,
799,
800,
802,
803,
804,
810,
812,
813,
814,
818,
819,
823,
824,
827,
830,
838,
839,
841,
849,
850,
851,
853,
857,
861,
866,
867,
869,
870,
874,
876,
877,
882,
886,
888,
889,
891,
893,
896,
897,
898,
901,
902,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
929,
930,
932,
934,
935,
943,
950,
951,
953,
954,
956,
958,
961,
962,
963,
966,
967,
969,
970,
972,
973,
975,
977,
981,
983,
985,
986,
987,
993,
994,
996,
1004,
1005,
1006,
1010,
1013,
1015,
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1022,
1023,
1025,
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1034,
1037,
1038,
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1077,
1078,
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1086,
1087,
1091,
1094,
1100,
1101,
1103,
1104,
1106,
1112,
1119,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
human_resources
|
Which position has the highest number of female employees with a 2 year degree?
|
2 year degree refers to educationrequired = '2 year degree'; female refers to gender = 'F'; the highest number of employees refers to MAX(positionID)
|
SELECT T2.positiontitle FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T2.educationrequired = '2 year degree' AND T1.gender = 'F' GROUP BY T2.positiontitle ORDER BY COUNT(T2.positiontitle) DESC LIMIT 1
|
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,971 | 8,971 |
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT
)
CREATE TABLE `employee`
(
gender TEXT,
positionID INTEGER,
foreign key positionID references positionpositionID
)
|
[
"GROUP BY",
"AS",
"AND",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"COUNT",
"FROM"
] | 12 |
medium
|
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487,
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493,
494,
495,
496,
497,
498,
500,
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509,
514,
515,
516,
519,
520,
522,
524,
526,
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529,
530,
532,
533,
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536,
537,
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675,
677,
678,
681,
683,
684,
685,
686,
687,
688,
690,
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693,
694,
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697,
698,
699,
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712,
714,
715,
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720,
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740,
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763,
765,
767,
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779,
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823,
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825,
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829,
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987,
991,
993,
994,
996,
1000,
1001,
1004,
1005,
1006,
1010,
1013,
1015,
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1019,
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1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
How many Account Representatives are there in Illinois with satisfying performance?
|
Account Representatives is a position title; satisfying performance mostly refers togood performance
|
SELECT COUNT(*) FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID INNER JOIN position AS T3 ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Account Representative' AND T1.performance = 'Good' AND T2.state = 'IL'
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,972 | 8,972 |
CREATE TABLE `location`
(
locationID INTEGER
constraint location_pk
primary key,
state TEXT
)
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT
)
CREATE TABLE `employee`
(
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key locationID references locationlocationID,
foreign key positionID references positionpositionID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
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164,
480,
771,
859
],
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193,
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859
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302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
399,
401,
402,
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447,
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559,
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573,
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591,
592,
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594,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
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643,
644,
645,
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647,
648,
649,
650,
651,
652,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
680,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
692,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
707,
710,
711,
712,
714,
715,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
730,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
820,
822,
823,
824,
825,
827,
828,
829,
830,
831,
832,
833,
834,
835,
837,
838,
839,
841,
843,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
903,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
945,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
965,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1079,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
What is the average salary of the worst performing managers?
|
the worst performing refers to performance = 'Poor'; manager is a positiontitle; average salary refers to AVG(salary)
|
SELECT AVG(CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.performance = 'Poor' AND T2.positiontitle = 'Manager'
|
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,973 | 8,973 |
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT
)
CREATE TABLE `employee`
(
salary TEXT,
performance TEXT,
positionID INTEGER,
foreign key positionID references positionpositionID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"AVG",
"SUBSTR",
"CAST",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
164,
859
],
"case_3": [
164,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
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58,
59,
62,
63,
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65,
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69,
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80,
81,
82,
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85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
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101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
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454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
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771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
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924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
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944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
In which state can you find the highest amount of good performing Account Representatives?
|
good performing refers to performance = 'Good'; Account Representatives is a positiontitle; highest amount of employee refers to MAX(positionID);
|
SELECT T2.state FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID INNER JOIN position AS T3 ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Account Representative' AND T1.performance = 'Good' GROUP BY T2.state ORDER BY COUNT(T2.state) DESC LIMIT 1
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,974 | 8,974 |
CREATE TABLE `location`
(
locationID INTEGER
constraint location_pk
primary key,
state TEXT
)
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT
)
CREATE TABLE `employee`
(
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key locationID references locationlocationID,
foreign key positionID references positionpositionID
)
|
[
"GROUP BY",
"AS",
"AND",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"COUNT",
"FROM"
] | 15 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
164,
480,
859
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
4,
5,
6,
8,
10,
11,
12,
13,
15,
16,
19,
20,
21,
22,
24,
26,
27,
28,
29,
30,
33,
36,
37,
38,
39,
44,
45,
47,
49,
51,
52,
53,
55,
57,
59,
62,
63,
66,
68,
69,
71,
73,
74,
75,
76,
77,
78,
82,
85,
86,
88,
89,
90,
91,
93,
95,
96,
98,
99,
106,
108,
111,
112,
113,
115,
116,
117,
118,
119,
121,
125,
126,
127,
128,
129,
131,
138,
140,
141,
142,
143,
144,
146,
148,
150,
152,
154,
158,
159,
160,
162,
163,
164,
167,
169,
170,
172,
173,
175,
176,
177,
179,
180,
183,
184,
185,
187,
188,
189,
190,
191,
196,
197,
199,
200,
202,
206,
212,
213,
214,
219,
225,
226,
227,
229,
233,
234,
239,
240,
243,
244,
247,
252,
254,
256,
258,
261,
262,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
281,
282,
285,
286,
291,
296,
299,
301,
309,
311,
313,
314,
315,
316,
317,
319,
320,
323,
324,
325,
329,
330,
334,
335,
336,
338,
339,
341,
342,
344,
345,
348,
349,
352,
353,
354,
356,
358,
359,
360,
361,
364,
365,
368,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
408,
409,
411,
412,
413,
414,
416,
417,
419,
424,
425,
426,
427,
428,
429,
433,
434,
435,
436,
437,
438,
440,
444,
445,
446,
448,
451,
452,
454,
455,
460,
462,
463,
464,
465,
467,
469,
470,
471,
473,
475,
476,
477,
478,
480,
482,
484,
487,
488,
490,
493,
494,
495,
496,
497,
498,
500,
505,
507,
509,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
541,
542,
544,
547,
548,
552,
557,
558,
559,
560,
561,
562,
563,
564,
566,
567,
573,
578,
579,
580,
581,
582,
584,
586,
588,
589,
590,
592,
595,
596,
597,
605,
606,
608,
610,
611,
612,
613,
615,
620,
621,
624,
625,
626,
627,
630,
632,
633,
634,
637,
638,
641,
643,
645,
646,
648,
649,
651,
654,
657,
658,
659,
662,
663,
664,
665,
666,
668,
669,
671,
675,
677,
678,
681,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
696,
697,
698,
699,
701,
702,
703,
705,
712,
714,
715,
719,
720,
721,
726,
727,
733,
734,
735,
736,
739,
740,
741,
743,
746,
747,
748,
749,
750,
751,
752,
753,
754,
756,
758,
759,
760,
762,
763,
765,
767,
768,
769,
772,
773,
775,
776,
777,
778,
779,
780,
783,
787,
788,
790,
793,
796,
797,
799,
800,
802,
803,
804,
806,
807,
808,
810,
812,
813,
814,
818,
819,
823,
824,
825,
827,
829,
830,
832,
835,
838,
839,
841,
844,
848,
849,
850,
851,
853,
857,
858,
859,
860,
861,
866,
867,
869,
870,
873,
874,
876,
877,
878,
879,
882,
886,
888,
889,
891,
892,
893,
895,
896,
897,
898,
901,
902,
905,
907,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
928,
929,
930,
931,
932,
934,
935,
943,
944,
949,
950,
951,
953,
954,
956,
958,
961,
962,
963,
966,
967,
969,
970,
972,
973,
974,
975,
977,
981,
983,
985,
986,
987,
991,
993,
994,
996,
1000,
1001,
1004,
1005,
1006,
1010,
1013,
1015,
1017,
1019,
1022,
1023,
1025,
1027,
1030,
1031,
1034,
1037,
1038,
1039,
1042,
1043,
1044,
1046,
1047,
1049,
1050,
1051,
1056,
1057,
1058,
1061,
1062,
1063,
1064,
1065,
1067,
1068,
1071,
1072,
1076,
1077,
1078,
1080,
1082,
1084,
1086,
1087,
1091,
1092,
1094,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1112,
1115,
1119,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
Mention the employee's full name and performance status who got the lowest in salary per year.
|
full name = firstname, lastname; the lowest salary refers to MIN(salary)
|
SELECT firstname, lastname, performance FROM employee ORDER BY salary ASC LIMIT 1
|
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,975 | 8,975 |
CREATE TABLE `employee`
(
lastname TEXT,
firstname TEXT,
salary TEXT,
performance TEXT
)
|
[
"SELECT",
"ORDER BY",
"LIMIT",
"ASC",
"FROM"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
1,
10,
11,
13,
15,
17,
20,
28,
29,
36,
38,
43,
49,
55,
59,
62,
69,
73,
75,
78,
86,
89,
108,
110,
121,
125,
133,
138,
150,
159,
162,
163,
167,
173,
174,
179,
181,
185,
187,
188,
199,
200,
202,
206,
208,
213,
229,
233,
239,
247,
252,
262,
263,
275,
278,
281,
285,
286,
291,
309,
311,
313,
314,
319,
320,
324,
328,
329,
334,
336,
337,
341,
342,
345,
348,
349,
352,
353,
356,
359,
364,
365,
371,
373,
378,
379,
381,
385,
394,
395,
400,
403,
404,
409,
411,
428,
429,
434,
435,
444,
445,
451,
454,
460,
462,
469,
482,
495,
497,
505,
530,
532,
534,
536,
538,
542,
548,
552,
555,
560,
566,
567,
576,
578,
579,
583,
584,
586,
590,
592,
595,
611,
619,
621,
625,
626,
634,
637,
638,
645,
654,
657,
659,
664,
665,
669,
681,
688,
690,
691,
698,
701,
703,
708,
713,
719,
732,
733,
735,
748,
752,
759,
760,
768,
778,
790,
803,
810,
815,
818,
823,
827,
830,
836,
850,
851,
861,
866,
869,
876,
886,
889,
891,
893,
901,
911,
918,
927,
929,
934,
946,
950,
951,
953,
954,
956,
962,
963,
966,
967,
970,
972,
973,
975,
977,
981,
983,
987,
989,
994,
1004,
1005,
1006,
1010,
1013,
1017,
1024,
1025,
1030,
1034,
1037,
1038,
1047,
1049,
1050,
1051,
1056,
1057,
1065,
1067,
1068,
1075,
1076,
1077,
1083,
1094,
1124,
1137,
1139,
1141
]
}
|
human_resources
|
List the location cities in the Western states.
|
Western states refers to state = 'CO' OR state = 'UT' OR state = 'CA'; location cities refers to locationcity
|
SELECT locationcity FROM location WHERE state IN ('CO', 'UT', 'CA')
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,976 | 8,976 |
CREATE TABLE `location`
(
locationcity TEXT,
state TEXT
)
|
[
"IN",
"SELECT",
"FROM"
] | 3 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
164,
193,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
human_resources
|
Which city and address has zip code of above 90000?
|
zip code of above 90000 refers to zipcode > 90000; city refers to locationcity
|
SELECT locationcity, address FROM location WHERE zipcode > 90000
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,977 | 8,977 |
CREATE TABLE `location`
(
locationcity TEXT,
address TEXT,
zipcode INTEGER
)
|
[
"SELECT",
"FROM"
] | 2 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
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1137,
1138,
1139,
1140,
1141
]
}
|
human_resources
|
Which positions are suitable with 4 years degree education?
|
4 years degree education refers to educationrequired = '4 year degree'; positions refers to positiontitle
|
SELECT positiontitle FROM position WHERE educationrequired = '4 year degree'
|
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,978 | 8,978 |
CREATE TABLE `position`
(
positiontitle TEXT,
educationrequired TEXT
)
|
[
"SELECT",
"FROM"
] | 2 |
simple
|
{
"case_1": [
193
],
"case_2": [
193
],
"case_3": [
164,
193,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
],
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290,
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295,
296,
297,
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299,
300,
301,
302,
303,
304,
305,
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307,
308,
309,
310,
311,
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313,
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315,
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580,
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582,
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585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
human_resources
|
What is the maximum salary of position "Trainer"?
|
maximum salary refers to maxsalary; Trainee is a positiontitle
|
SELECT maxsalary FROM position WHERE positiontitle = 'Trainee'
|
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,979 | 8,979 |
CREATE TABLE `position`
(
positiontitle TEXT,
maxsalary TEXT
)
|
[
"SELECT",
"FROM"
] | 2 |
simple
|
{
"case_1": [
193
],
"case_2": [
193
],
"case_3": [
164,
193,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
human_resources
|
List the full name and social security number of the account representative with average performance.
|
full name = firstname, lastname; social security number refers to ssn; account representative is a position title; average performance refers to performance = 'Average'
|
SELECT T1.firstname, T1.lastname, T1.ssn FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.performance = 'Average'
|
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,980 | 8,980 |
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key
)
CREATE TABLE `employee`
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
performance TEXT,
positionID INTEGER,
foreign key positionID references positionpositionID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
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859
],
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859
],
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}
|
human_resources
|
When was Emily Wood hired? Mention her position and salary.
|
Emily Wood is the full name of an employee; full name = firstname, lastname; when was she hired refers to hiredate
|
SELECT T1.hiredate, T2.positiontitle, T1.salary FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.firstname = 'Emily' AND T1.lastname = 'Wood'
|
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,981 | 8,981 |
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT
)
CREATE TABLE `employee`
(
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
positionID INTEGER,
foreign key positionID references positionpositionID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
164,
859
],
"case_2": [
164,
859
],
"case_3": [
164,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
],
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1,
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1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
What are the maximum and minimum salary range and position title of Bill Marlin?
|
Bill Marlin is the full name of an employee; full name = firstname, lastname; maximum salary refers to maxsalary; minimum salary refers to minsalary
|
SELECT T2.maxsalary, T2.minsalary, T2.positiontitle FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.firstname = 'Bill' AND T1.lastname = 'Marlin'
|
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,982 | 8,982 |
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE `employee`
(
lastname TEXT,
firstname TEXT,
salary TEXT,
positionID INTEGER,
foreign key positionID references positionpositionID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
164,
859
],
"case_2": [
164,
859
],
"case_3": [
164,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
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988,
991,
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1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
List the full names, gender and positions who's location is in New York city.
|
full name = firstname, lastname; New York city refers to locationcity = 'New York City'
|
SELECT T1.firstname, T1.lastname, T1.gender, T3.positiontitle FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID INNER JOIN position AS T3 ON T3.positionID = T1.positionID WHERE T2.locationcity = 'New York City'
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,983 | 8,983 |
CREATE TABLE `location`
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT
)
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT
)
CREATE TABLE `employee`
(
lastname TEXT,
firstname TEXT,
gender TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key locationID references locationlocationID,
foreign key positionID references positionpositionID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
164,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
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106,
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121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
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138,
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140,
141,
142,
143,
144,
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148,
150,
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153,
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260,
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263,
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286,
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311,
312,
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314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
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347,
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354,
356,
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358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
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375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
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390,
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402,
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405,
406,
407,
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487,
488,
489,
490,
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509,
510,
511,
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518,
519,
520,
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522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
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538,
539,
540,
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542,
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547,
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550,
552,
555,
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559,
560,
561,
562,
563,
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565,
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567,
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570,
571,
572,
573,
574,
575,
577,
578,
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580,
581,
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586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
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616,
620,
621,
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624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
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678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
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694,
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697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
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740,
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742,
743,
744,
745,
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750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
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767,
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771,
772,
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788,
790,
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793,
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796,
797,
798,
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800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
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850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
Mention the full name, hired date and performance status of the employee whose location is in Utah state.
|
full name = firstname, lastname; Utah refers to state = 'UT'
|
SELECT T1.firstname, T1.lastname, T1.hiredate, T1.performance FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID WHERE T2.state = 'UT'
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,984 | 8,984 |
CREATE TABLE `location`
(
locationID INTEGER
constraint location_pk
primary key,
state TEXT
)
CREATE TABLE `employee`
(
lastname TEXT,
firstname TEXT,
hiredate TEXT,
performance TEXT,
locationID INTEGER,
foreign key locationID references locationlocationID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
480,
771
],
"case_2": [
480,
771
],
"case_3": [
164,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
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16,
18,
19,
20,
21,
22,
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24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
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84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
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101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
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129,
130,
131,
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134,
135,
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137,
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139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
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248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
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315,
316,
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319,
320,
321,
322,
323,
324,
325,
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330,
333,
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335,
336,
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339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
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375,
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381,
382,
383,
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385,
386,
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392,
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395,
398,
401,
402,
403,
405,
406,
407,
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409,
411,
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422,
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430,
431,
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433,
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435,
436,
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539,
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542,
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559,
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579,
580,
581,
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592,
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600,
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611,
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614,
615,
616,
620,
621,
623,
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630,
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632,
633,
634,
636,
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662,
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665,
666,
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670,
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674,
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681,
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684,
685,
686,
687,
688,
690,
691,
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695,
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697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
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714,
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717,
720,
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722,
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725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
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771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
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790,
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793,
795,
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800,
802,
803,
804,
805,
806,
807,
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809,
810,
812,
813,
814,
818,
819,
822,
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825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
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849,
850,
851,
852,
853,
854,
857,
858,
859,
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861,
862,
863,
866,
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871,
873,
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875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
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888,
889,
891,
892,
893,
894,
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896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
Among the employees with poor performance, provide the managers' full names, location city, address and its zip code.
|
poor performance refers to performance = 'Poor'; full name = firstname, lastname; managers is a position title
|
SELECT T1.firstname, T1.lastname, T2.locationcity, T2.address, T2.zipcode FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID INNER JOIN position AS T3 ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Manager' AND T1.performance = 'Poor'
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,985 | 8,985 |
CREATE TABLE `location`
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
zipcode INTEGER
)
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT
)
CREATE TABLE `employee`
(
lastname TEXT,
firstname TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key locationID references locationlocationID,
foreign key positionID references positionpositionID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
164,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
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119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
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137,
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139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
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465,
467,
469,
470,
471,
472,
473,
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475,
476,
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479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
What is the education required to be account representative? Mention account representative full name and salary who got poor in performance status.
|
account representative is a position title; full name = firstname, lastname; poor performance refers to performance = 'Poor'
|
SELECT T2.educationrequired, T1.firstname, T1.lastname, T1.salary FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.performance = 'Poor' AND T2.positiontitle = 'Account Representative'
|
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,986 | 8,986 |
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT
)
CREATE TABLE `employee`
(
lastname TEXT,
firstname TEXT,
salary TEXT,
performance TEXT,
positionID INTEGER,
foreign key positionID references positionpositionID
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
164,
859
],
"case_2": [
164,
859
],
"case_3": [
164,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
Write down the full name, performance status and located city of the employee who's social security number is "767-74-7373".
|
full name = firstname, lastname; ssn = '767-74-7373'
|
SELECT T1.firstname, T1.lastname, T2.state, T2.locationcity FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID WHERE T1.ssn = '767-74-7373'
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,987 | 8,987 |
CREATE TABLE `location`
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
state TEXT
)
CREATE TABLE `employee`
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
locationID INTEGER,
foreign key locationID references locationlocationID
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
480,
771
],
"case_2": [
480,
771
],
"case_3": [
164,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
Describe the employees' full name, positions, located city and office phone number within Colorado state.
|
full name = firstname, lastname; Colorado state refers to state = 'CO'; positions refers to positiontitle; located city refers to locationcity; office phone number refers to officephone;
|
SELECT T1.firstname, T1.lastname, T3.positiontitle, T2.locationcity, T2.officephone FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID INNER JOIN position AS T3 ON T3.positionID = T1.positionID WHERE T2.state = 'CO'
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,988 | 8,988 |
CREATE TABLE `location`
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
state TEXT,
officephone TEXT
)
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT
)
CREATE TABLE `employee`
(
lastname TEXT,
firstname TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key locationID references locationlocationID,
foreign key positionID references positionpositionID
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
164,
480,
771,
859
],
"case_4": [
164,
193,
480,
771,
859
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197,
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206,
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261,
262,
263,
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266,
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268,
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271,
272,
275,
276,
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280,
281,
282,
284,
286,
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290,
292,
295,
296,
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298,
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300,
301,
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303,
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311,
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314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
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390,
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392,
393,
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395,
398,
401,
402,
403,
405,
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520,
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559,
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580,
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586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
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606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
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625,
626,
627,
628,
630,
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632,
633,
634,
636,
637,
638,
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640,
641,
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657,
658,
659,
660,
661,
662,
663,
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666,
668,
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675,
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681,
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684,
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700,
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705,
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710,
711,
712,
714,
715,
717,
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722,
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728,
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740,
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754,
755,
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763,
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765,
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912,
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915,
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922,
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924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
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949,
950,
951,
952,
953,
954,
956,
958,
959,
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962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
human_resources
|
Calculate the monthly average salary of the employee with highest salary. Mention his name, position title and location city.
|
highest salary refers to MAX(salary); name = firstname, lastname; calculation = DIVIDE(MAX(salary), 12)
|
SELECT SUM(CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) / 12 AS avg, T1.firstname, T1.lastname , T2.positiontitle, T3.locationcity FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID INNER JOIN location AS T3 ON T1.locationID = T3.locationID WHERE CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL) = ( SELECT MAX(CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID INNER JOIN location AS T3 ON T1.locationID = T3.locationID )
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
CREATE TABLE location
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT,
address TEXT,
state TEXT,
zipcode INTEGER,
officephone TEXT
)
CREATE TABLE position
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT,
educationrequired TEXT,
minsalary TEXT,
maxsalary TEXT
)
CREATE TABLE employee
(
ssn TEXT
primary key,
lastname TEXT,
firstname TEXT,
hiredate TEXT,
salary TEXT,
gender TEXT,
performance TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key (locationID) references location(locationID),
foreign key (positionID) references position(positionID)
)
|
na
| 8,989 | 8,989 |
CREATE TABLE `location`
(
locationID INTEGER
constraint location_pk
primary key,
locationcity TEXT
)
CREATE TABLE `position`
(
positionID INTEGER
constraint position_pk
primary key,
positiontitle TEXT
)
CREATE TABLE `employee`
(
lastname TEXT,
firstname TEXT,
salary TEXT,
positionID INTEGER,
locationID INTEGER,
foreign key locationID references locationlocationID,
foreign key positionID references positionpositionID
)
|
[
"AS",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"SUBSTR",
"CAST",
"avg",
"FROM",
"MAX"
] | 31 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
164,
193,
480,
771,
859
],
"case_5": [
6,
16,
24,
35,
39,
42,
64,
71,
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81,
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106,
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254,
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300,
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650,
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750,
753,
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772,
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777,
787,
788,
796,
800,
802,
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813,
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825,
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871,
874,
894,
896,
898,
909,
912,
922,
924,
926,
932,
943,
944,
958,
959,
962,
973,
985,
1008,
1012,
1023,
1027,
1031,
1038,
1062,
1064,
1068,
1072,
1078,
1082,
1087,
1092,
1098,
1100,
1118,
1128,
1135
]
}
|
bike_share_1
|
Which trip had the longest duration? State the start and end station.
|
start station refers to start_station_name; end station refers to end_station_name;
|
SELECT start_station_name, end_station_name FROM trip WHERE duration = ( SELECT MAX(duration) FROM trip )
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 8,990 | 8,990 |
CREATE TABLE `trip`
(
duration INTEGER,
start_station_name TEXT,
end_station_name TEXT
)
|
[
"SELECT",
"FROM",
"MAX"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
178,
947,
1009
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1074,
1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1083,
1084,
1085,
1086,
1087,
1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
1109,
1110,
1111,
1112,
1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
bike_share_1
|
What is the percentage of the trip were done by a subscriber?
|
subscription_type = 'Subscriber'; DIVIDE(COUNT(id where subscription_type = 'Subscriber'), COUNT(id)) as percentage;
|
SELECT CAST(COUNT(subscription_type) AS REAL) * 100 / ( SELECT COUNT(subscription_type) FROM trip ) FROM trip WHERE subscription_type = 'Subscriber'
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 8,991 | 8,991 |
CREATE TABLE `trip`
(
subscription_type TEXT
)
|
[
"AS",
"SELECT",
"CAST",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
178
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
32,
33,
34,
35,
36,
37,
39,
40,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
108,
109,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
124,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
150,
151,
152,
153,
154,
155,
157,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
175,
176,
177,
178,
179,
180,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
206,
207,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
223,
224,
225,
226,
227,
228,
229,
230,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
252,
254,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
273,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
367,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
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471,
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508,
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510,
511,
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570,
571,
572,
573,
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577,
578,
579,
580,
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585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
600,
601,
602,
603,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
618,
620,
621,
623,
624,
625,
626,
627,
628,
629,
630,
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660,
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670,
671,
672,
673,
674,
675,
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678,
680,
681,
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683,
684,
685,
686,
687,
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689,
690,
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735,
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737,
739,
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744,
745,
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750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
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770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
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788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
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812,
813,
814,
817,
818,
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820,
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825,
827,
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830,
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922,
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924,
925,
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930,
931,
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936,
937,
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940,
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950,
951,
952,
953,
954,
956,
958,
959,
960,
961,
962,
963,
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967,
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969,
970,
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974,
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978,
980,
981,
982,
983,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
1022,
1023,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
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1042,
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1046,
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1050,
1051,
1052,
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1123,
1124,
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1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
State the final station of bike id 13. Which city was it at?
|
final station refers to end_station_name where MAX(end_date);
|
SELECT T2.end_station_id, T1.city FROM station AS T1 INNER JOIN trip AS T2 ON T1.name = T2.end_station_name WHERE T2.bike_id = 13 ORDER BY T2.end_date DESC LIMIT 1
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 8,992 | 8,992 |
CREATE TABLE `station`
(
CREATE TABLE "station"
id INTEGER not null
primary key,
name TEXT,
city TEXT
)
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
"case_5": [
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980,
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987,
988,
991,
993,
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996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
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1078,
1080,
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1083,
1084,
1085,
1086,
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1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1139,
1141
]
}
|
bike_share_1
|
Name all the trips where the bike was borrowed and returned on a different day. State the city where the bike was returned.
|
the bike was borrowed and returned on a different day implies that start_date and end_date are not equal to each other; where the bike was returned refers to end_station_name;
|
SELECT DISTINCT T1.city FROM station AS T1 INNER JOIN trip AS T2 ON T2.start_station_name = T1.name WHERE SUBSTR(CAST(T2.start_date AS TEXT), INSTR(T2.start_date, '/') + 1) - SUBSTR(CAST(T2.start_date AS TEXT), INSTR(T2.start_date, ' ') - 5) <> SUBSTR(CAST(T2.end_date AS TEXT), INSTR(T2.end_date, '/') + 1) - SUBSTR(CAST(T2.end_date AS TEXT), INSTR(T2.end_date, ' ') - 5)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 8,993 | 8,993 |
CREATE TABLE `station`
(
name TEXT,
city TEXT
)
CREATE TABLE `trip`
(
start_date TEXT,
start_station_name TEXT,
end_date TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"INSTR",
"SUBSTR",
"CAST",
"FROM"
] | 22 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
"case_5": [
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1,
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532,
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556,
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559,
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562,
563,
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710,
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712,
714,
715,
717,
720,
721,
722,
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725,
726,
727,
728,
733,
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744,
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751,
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753,
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988,
991,
993,
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996,
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999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
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1015,
1016,
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1091,
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1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
Which is the station where no bike could not be borrowed form on the 2013/11/03 02:01:01? State the location of the station.
|
Latitude and longitude coordinates can be used to indicate a location, where latitude refers to lat longtitude refer to long; bikes_available = 0 means no bike can be borrowed; 3/11/2013 02:01:01 refers to time;
|
SELECT T1.name, T1.long FROM station AS T1 INNER JOIN status AS T2 ON T2.station_id = T1.id WHERE T2.time = '2013/11/03 02:01:01' AND T2.bikes_available = 0
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 8,994 | 8,994 |
CREATE TABLE `station`
(
CREATE TABLE "station"
id INTEGER not null
primary key,
name TEXT,
long REAL
)
CREATE TABLE `status`
(
CREATE TABLE "status"
station_id INTEGER,
bikes_available INTEGER,
time TEXT
)
|
[
"AS",
"AND",
"SELECT",
"/",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
178,
1009
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
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379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
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411,
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487,
488,
489,
490,
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510,
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518,
519,
520,
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567,
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570,
571,
572,
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580,
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588,
589,
590,
592,
593,
595,
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597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
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750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
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765,
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767,
768,
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771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
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786,
787,
788,
790,
792,
793,
796,
797,
798,
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800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
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841,
844,
845,
846,
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850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1009,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
Name the station and city with the most borrowed bike.
|
the station with the most borrowed bikes refers to MAX(start_station);
|
SELECT T2.start_station_name, T1.city FROM station AS T1 INNER JOIN trip AS T2 ON T2.start_station_name = T1.name GROUP BY T2.start_station_name ORDER BY COUNT(T2.start_station_name) DESC LIMIT 1
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 8,995 | 8,995 |
CREATE TABLE `station`
(
name TEXT,
city TEXT
)
CREATE TABLE `trip`
(
start_station_name TEXT
)
|
[
"GROUP BY",
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"COUNT",
"FROM"
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medium
|
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}
|
bike_share_1
|
What was the hottest temperature on the day of trip ID 4080?
|
the hottest temperature refers to max_temperature_f;
|
SELECT MAX(T2.max_temperature_f) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code AND T2.date = SUBSTR(CAST(T1.start_date AS TEXT), 1, INSTR(T1.start_date, ' ') - 1) WHERE T1.id = 4080
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 8,996 | 8,996 |
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
start_date TEXT,
start_station_id INTEGER,
end_station_id INTEGER,
bike_id INTEGER,
zip_code INTEGER
)
CREATE TABLE `weather`
(
CREATE TABLE "weather"
date TEXT,
max_temperature_f INTEGER,
zip_code TEXT
)
|
[
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"INNER JOIN",
"ON",
"INSTR",
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"CAST",
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medium
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}
|
bike_share_1
|
At what date and time did San Jose Diridon Caltrain Station have most bikes available.
|
San Jose Diridon Caltrain Station is the name of the station; most bikes available refers to MAX(bikes_available);
|
SELECT T2.time FROM station AS T1 INNER JOIN status AS T2 ON T2.station_id = T1.id WHERE T1.name = 'San Jose Diridon Caltrain Station' AND T2.bikes_available = ( SELECT MAX(T2.bikes_available) FROM station AS T1 INNER JOIN status AS T2 ON T2.station_id = T1.id WHERE T1.name = 'San Jose Diridon Caltrain Station' )
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 8,997 | 8,997 |
CREATE TABLE `station`
(
CREATE TABLE "station"
id INTEGER not null
primary key,
name TEXT
)
CREATE TABLE `status`
(
CREATE TABLE "status"
station_id INTEGER,
bikes_available INTEGER,
time TEXT
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM",
"MAX"
] | 14 |
medium
|
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455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
820,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1073,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
Name all the trip on the days when it rained. State the duration of the trip
|
events = 'Rain';
|
SELECT T1.id, T1.duration FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code AND T2.date = SUBSTR(CAST(T1.start_date AS TEXT), 1, INSTR(T1.start_date, ' ') - 1) WHERE T2.events LIKE '%Rain%' OR T2.events LIKE '%rain%'
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 8,998 | 8,998 |
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_id INTEGER,
end_station_id INTEGER,
bike_id INTEGER,
zip_code INTEGER
)
CREATE TABLE `weather`
(
CREATE TABLE "weather"
date TEXT,
events TEXT,
zip_code TEXT
)
|
[
"OR",
"AND",
"SELECT",
"AS",
"LIKE",
"INNER JOIN",
"ON",
"INSTR",
"SUBSTR",
"CAST",
"FROM"
] | 14 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
"case_5": [
3,
4,
5,
6,
8,
12,
16,
19,
20,
21,
22,
24,
26,
30,
33,
37,
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81,
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96,
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106,
111,
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136,
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183,
184,
187,
189,
195,
197,
200,
201,
202,
212,
214,
219,
225,
226,
227,
234,
236,
239,
240,
244,
247,
248,
254,
256,
258,
261,
262,
264,
265,
266,
267,
268,
272,
275,
276,
277,
278,
282,
296,
300,
301,
304,
314,
315,
316,
317,
319,
322,
323,
325,
330,
335,
339,
341,
347,
356,
360,
361,
368,
370,
373,
374,
375,
376,
382,
383,
385,
391,
393,
395,
398,
402,
403,
405,
406,
407,
408,
409,
412,
413,
414,
415,
416,
417,
419,
424,
425,
426,
427,
428,
430,
433,
436,
437,
438,
440,
444,
446,
448,
451,
452,
455,
463,
464,
469,
470,
475,
476,
477,
478,
480,
482,
483,
487,
490,
493,
494,
496,
497,
498,
500,
507,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
532,
533,
535,
537,
539,
540,
541,
544,
547,
557,
558,
559,
560,
561,
562,
563,
564,
575,
580,
581,
582,
584,
586,
588,
589,
595,
597,
605,
608,
610,
612,
613,
615,
620,
623,
624,
625,
626,
627,
632,
633,
637,
641,
643,
648,
651,
658,
662,
663,
666,
668,
671,
675,
676,
677,
678,
683,
684,
685,
686,
687,
690,
693,
697,
699,
702,
710,
712,
714,
715,
726,
727,
734,
735,
739,
740,
741,
743,
744,
746,
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749,
750,
753,
754,
756,
758,
760,
762,
763,
765,
767,
768,
772,
773,
774,
775,
776,
777,
780,
783,
787,
788,
793,
796,
797,
799,
800,
802,
804,
806,
807,
808,
810,
813,
814,
819,
824,
825,
828,
829,
830,
832,
835,
838,
841,
844,
848,
849,
850,
851,
853,
858,
859,
860,
861,
867,
870,
873,
874,
875,
877,
878,
879,
886,
888,
892,
895,
896,
898,
902,
905,
907,
909,
912,
917,
918,
922,
923,
924,
926,
928,
930,
931,
932,
935,
943,
944,
949,
953,
954,
956,
958,
959,
961,
969,
974,
975,
980,
985,
986,
991,
996,
1000,
1001,
1008,
1017,
1019,
1022,
1023,
1027,
1031,
1039,
1042,
1044,
1046,
1058,
1061,
1062,
1063,
1064,
1067,
1068,
1071,
1072,
1078,
1080,
1082,
1084,
1086,
1087,
1092,
1098,
1100,
1101,
1103,
1104,
1105,
1109,
1111,
1115,
1119,
1123,
1128,
1131,
1136
]
}
|
bike_share_1
|
List all trips where bikes were returned at location 37.331415, -121.8932. State the date the bike was borrowed.
|
37.331415 and -121.8932 are latitude (lat) and longitude (long) coordinates indicating location; returned at refers to end_station_name; the date the bike was borrowed refers to start_date;
|
SELECT T2.end_station_name, T2.start_date FROM station AS T1 INNER JOIN trip AS T2 ON T2.end_station_name = T1.name WHERE T1.lat = 37.331415 AND T1.long = -121.8932
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 8,999 | 8,999 |
CREATE TABLE `station`
(
name TEXT,
lat REAL,
long REAL,
installation_date TEXT
)
CREATE TABLE `trip`
(
start_date TEXT,
end_station_name TEXT
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
178
],
"case_2": [
178
],
"case_3": [
178
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
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}
|
bike_share_1
|
Among the trips in August 2013, how many bikes were borrowed from Redwood City.
|
Redwood City is the name of the city; trips in August 2013 refers to start_date like '8%2013%';
|
SELECT COUNT(T2.start_date) FROM station AS T1 INNER JOIN trip AS T2 ON T2.start_station_name = T1.name WHERE T2.start_date LIKE '8/%/2013%' AND T1.city = 'Redwood City'
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,000 | 9,000 |
CREATE TABLE `station`
(
name TEXT,
city TEXT
)
CREATE TABLE `trip`
(
start_date TEXT,
start_station_name TEXT
)
|
[
"AS",
"AND",
"SELECT",
"LIKE",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 9 |
simple
|
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1132,
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1136,
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]
}
|
bike_share_1
|
For all trips which took less 5 minutes, state the station name where the bike were borrowed and returned. Indicate mean temperature of the day.
|
less than 5 minutes refers to duration<300 in seconds; the station where the bike was borrowed refers to start_station_name; the station where the bike was returned refers to end_station_name; mean temperature refers to min_temperature_f;
|
SELECT T1.start_station_name, T1.end_station_name, T2.mean_temperature_f FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T1.duration < 300
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,001 | 9,001 |
CREATE TABLE `trip`
(
duration INTEGER,
start_station_name TEXT,
end_station_name TEXT,
zip_code INTEGER
)
CREATE TABLE `weather`
(
mean_temperature_f INTEGER,
zip_code TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
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-1
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178
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289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
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749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
Among all the trips, which day had the most bikes borrowed? What was the average coldest temperature on that day?
|
which day had the most bikes borrowed refers to MAX(start_date); the average coldest temperature can be computed as DIVIDE(SUM(min_temperature_f), COUNT(min_temperature_f));
|
SELECT T2.date, AVG(T2.min_temperature_f) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code GROUP BY T2.date ORDER BY COUNT(T1.start_date) DESC LIMIT 1
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,002 | 9,002 |
CREATE TABLE `trip`
(
start_date TEXT,
zip_code INTEGER
)
CREATE TABLE `weather`
(
CREATE TABLE "weather"
date TEXT,
min_temperature_f INTEGER,
zip_code TEXT
)
|
[
"GROUP BY",
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"AVG",
"DESC",
"COUNT",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
1,
4,
6,
10,
11,
13,
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16,
20,
22,
27,
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30,
36,
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68,
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196,
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212,
213,
214,
220,
225,
226,
227,
229,
232,
233,
234,
235,
239,
243,
244,
246,
247,
252,
254,
256,
261,
262,
267,
268,
269,
275,
276,
277,
278,
281,
285,
286,
291,
295,
299,
301,
309,
311,
313,
314,
315,
316,
317,
319,
320,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
341,
342,
344,
345,
348,
349,
352,
353,
354,
356,
358,
359,
360,
364,
365,
370,
371,
373,
374,
375,
378,
379,
381,
382,
383,
384,
385,
391,
392,
394,
395,
401,
403,
406,
407,
409,
411,
412,
416,
417,
424,
426,
428,
429,
434,
435,
436,
444,
445,
448,
451,
454,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
482,
484,
487,
488,
490,
493,
495,
497,
500,
505,
509,
515,
516,
519,
520,
526,
530,
532,
535,
536,
537,
538,
542,
544,
547,
548,
552,
558,
559,
560,
563,
564,
566,
567,
573,
578,
579,
580,
581,
582,
584,
586,
590,
592,
595,
596,
597,
606,
608,
611,
613,
620,
621,
625,
626,
627,
630,
632,
633,
634,
637,
638,
641,
645,
646,
649,
651,
654,
657,
658,
659,
662,
663,
664,
665,
668,
669,
671,
681,
687,
688,
690,
691,
694,
696,
698,
701,
703,
704,
705,
712,
714,
719,
720,
721,
727,
733,
734,
735,
736,
739,
740,
743,
748,
749,
750,
751,
752,
753,
756,
759,
760,
762,
768,
769,
772,
778,
779,
784,
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790,
796,
797,
799,
800,
802,
803,
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915,
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929,
930,
932,
934,
935,
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950,
951,
953,
954,
956,
958,
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962,
963,
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967,
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970,
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977,
981,
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986,
987,
993,
994,
996,
1001,
1004,
1005,
1006,
1010,
1013,
1015,
1017,
1019,
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1038,
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1106,
1111,
1112,
1119,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
bike_share_1
|
Calculate the average usage of each bike in the third quarter of year 2013. Find the average wind direction within the same period.
|
the third quarter of year 2013 implies 3 month interval, including July, August, and September of 2013 and refers to date; the average usage of each bike = DIVIDE(SUM(duration), COUNT(bike_id)); the average wind direction = DIVIDE(SUM(wind_dir_degrees), COUNT(date));
|
SELECT AVG(T1.duration), AVG(T2.wind_dir_degrees) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE SUBSTR(CAST(T2.date AS TEXT), 1, INSTR(T2.date, '/') - 1) IN ('7', '8', '9') AND SUBSTR(CAST(T2.date AS TEXT), -4) = '2013'
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,003 | 9,003 |
CREATE TABLE `trip`
(
duration INTEGER,
zip_code INTEGER
)
CREATE TABLE `weather`
(
CREATE TABLE "weather"
date TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"IN",
"ON",
"AVG",
"SUBSTR",
"INSTR",
"CAST",
"FROM"
] | 17 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
"case_5": [
4,
5,
6,
7,
8,
12,
16,
19,
20,
21,
22,
24,
26,
30,
33,
37,
39,
44,
45,
47,
51,
52,
53,
57,
63,
64,
66,
68,
69,
71,
73,
74,
75,
76,
77,
80,
85,
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90,
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158,
160,
163,
164,
166,
169,
170,
172,
175,
176,
177,
180,
183,
184,
187,
189,
195,
197,
200,
201,
207,
211,
212,
214,
219,
220,
225,
226,
227,
232,
234,
235,
236,
239,
240,
244,
246,
248,
254,
256,
258,
261,
262,
264,
265,
266,
267,
268,
272,
275,
276,
277,
278,
282,
295,
296,
300,
301,
304,
314,
315,
316,
317,
319,
322,
323,
325,
330,
333,
335,
339,
341,
347,
356,
360,
361,
368,
370,
374,
375,
376,
382,
383,
385,
391,
393,
395,
398,
402,
403,
405,
406,
407,
408,
409,
412,
413,
414,
416,
417,
419,
424,
425,
426,
427,
428,
433,
436,
437,
438,
440,
444,
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448,
451,
452,
455,
463,
464,
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470,
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476,
477,
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487,
490,
493,
494,
496,
497,
498,
500,
507,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
533,
535,
537,
539,
540,
541,
544,
547,
557,
558,
559,
560,
561,
562,
563,
564,
575,
580,
581,
582,
584,
586,
588,
589,
595,
597,
605,
608,
610,
612,
613,
615,
620,
623,
624,
625,
626,
627,
630,
632,
633,
637,
641,
643,
648,
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662,
663,
666,
668,
671,
675,
676,
677,
678,
683,
684,
685,
686,
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690,
693,
696,
697,
699,
702,
704,
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1111,
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1123,
1128,
1131,
1136
]
}
|
bike_share_1
|
How many bike stations were installed in San Jose in 2014? Indicate the names of the stations.
|
San Jose is the name of the city; 2014 refers to installation_date between '1/1/2014' and '12/31/2014';
|
SELECT SUM(CASE WHEN city = 'San Jose' AND SUBSTR(installation_date, -4) = '2014' THEN 1 ELSE 0 END) FROM station UNION SELECT name FROM station WHERE city = 'San Jose' AND SUBSTR(installation_date, -4) = '2014'
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,004 | 9,004 |
CREATE TABLE `station`
(
name TEXT,
lat REAL,
city TEXT,
installation_date TEXT
)
|
[
"CASE WHEN",
"AND",
"SELECT",
"SUM",
"CASE",
"UNION",
"SUBSTR",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
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-1
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-1
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1092,
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1098,
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1131,
1135
]
}
|
bike_share_1
|
What is the longest trip duration that started and ended August 29, 2013?
|
started and ended August 29, 2013 refers to start_date = '8/29/2013' and end_date = '8/29/2013';
|
SELECT MAX(duration) FROM trip WHERE start_date LIKE '8/29/2013%' AND end_date LIKE '8/29/2013%'
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,005 | 9,005 |
CREATE TABLE `trip`
(
duration INTEGER,
start_date TEXT,
end_date TEXT
)
|
[
"AND",
"SELECT",
"/",
"LIKE",
"FROM",
"MAX"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
1009
],
"case_4": [
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421,
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438,
444,
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476,
498,
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528,
529,
551,
557,
591,
624,
633,
637,
666,
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754,
756,
800,
804,
806,
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832,
844,
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907,
917,
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930,
932,
944,
1000,
1009,
1018,
1019,
1022,
1042,
1064,
1073,
1101,
1117,
1128
]
}
|
bike_share_1
|
How long did it take for bike id 426 to reach 2nd at South Park from Market at 4th on 8/29/2013? Indicate the duration in minutes.
|
duration in minutes refers to DIVIDE(duration, 60 seconds); 2nd at South Park refers to end_station_name; Market at 4th refers to start_station_name; start_date = '8/29/2013'; end_date = '8/29/2013';
|
SELECT CAST(duration AS REAL) / 60 FROM trip WHERE bike_id = 426 AND end_station_name = '2nd at South Park' AND start_station_name = 'Market at 4th' AND start_date LIKE '8/29/2013%' AND end_date LIKE '8/29/2013%'
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,006 | 9,006 |
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER
)
|
[
"AS",
"AND",
"SELECT",
"/",
"LIKE",
"CAST",
"FROM"
] | 14 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
1009
],
"case_4": [
178,
947,
1009
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"case_5": [
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3,
4,
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416,
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428,
430,
433,
436,
437,
438,
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458,
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477,
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559,
560,
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1111,
1115,
1117,
1119,
1121,
1123,
1128,
1131,
1136
]
}
|
bike_share_1
|
On 8/29/2013, who took the longest to arrive in California Ave Caltrain Station from University and Emerson? Indicate the bike id.
|
start_date = '8/29/2013'; end_date = '8/29/2013'; end_station_name = 'California Ave Caltrain Station'; start_station_name = 'University and Emerson'; who took the longest to arrive refers to MAX(duration);
|
SELECT bike_id FROM trip WHERE start_date LIKE '8/29/2013%' AND end_date LIKE '8/29/2013%' AND end_station_name = 'California Ave Caltrain Station' AND start_station_name = 'University and Emerson' AND duration = ( SELECT MAX(duration) FROM trip WHERE start_date LIKE '8/29/2013%' AND end_date LIKE '8/29/2013%' AND end_station_name = 'California Ave Caltrain Station' AND start_station_name = 'University and Emerson' )
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,007 | 9,007 |
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER
)
|
[
"AND",
"SELECT",
"/",
"and",
"LIKE",
"FROM",
"MAX"
] | 26 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
1009
],
"case_4": [
178,
947,
1009
],
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20,
26,
38,
57,
90,
109,
119,
127,
129,
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258,
270,
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421,
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438,
444,
452,
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498,
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529,
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666,
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740,
743,
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832,
844,
858,
865,
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924,
930,
932,
944,
991,
1000,
1009,
1018,
1019,
1022,
1042,
1064,
1073,
1101,
1117,
1128
]
}
|
bike_share_1
|
How many stations in San Francico can hold more than 20 bikes?
|
San Francico is the name of the city; can hold more than 20 bikes implies dock's capacity and refers to dock_count≥20;
|
SELECT SUM(CASE WHEN city = 'San Francisco' AND dock_count > 20 THEN 1 ELSE 0 END) FROM station
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,008 | 9,008 |
CREATE TABLE `station`
(
dock_count INTEGER,
city TEXT
)
|
[
"CASE WHEN",
"AND",
"SELECT",
"SUM",
"CASE",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
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-1
],
"case_4": [
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1121,
1129,
1131,
1133,
1134,
1135
]
}
|
bike_share_1
|
When was the hottest temperature recorded? If there are multiple dates with the hottest temperature, indicate all of the dates.
|
the hottest temperature refers to max_temperature_f;
|
SELECT max_temperature_f, date FROM weather WHERE max_temperature_f = ( SELECT MAX(max_temperature_f) FROM weather WHERE max_temperature_f IS NOT NULL AND max_temperature_f IS NOT '' )
|
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,009 | 9,009 |
CREATE TABLE `weather`
(
max_temperature_f INTEGER
)
|
[
"AND",
"SELECT",
"NULL",
"NOT",
"IS",
"FROM",
"MAX"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
"case_5": [
42,
53,
67,
92,
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152,
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200,
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982,
985,
1014,
1020,
1036,
1048,
1059,
1066,
1069,
1073,
1129,
1131
]
}
|
bike_share_1
|
What is the maximum dew point in Fahrenheit degree on 7/15/2014 in the area with a zip code of 94301?
|
the maximum dew point in Fahrenheit degree refers to max_dew_point_f; date = '7/15/2014';
|
SELECT DISTINCT CASE WHEN date = '7/15/2014' AND zip_code = 94301 THEN max_dew_point_f END FROM weather
|
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,010 | 9,010 |
CREATE TABLE `weather`
(
max_dew_point_f INTEGER,
zip_code TEXT
)
|
[
"CASE WHEN",
"AND",
"SELECT",
"/",
"CASE",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
1009
],
"case_4": [
178,
947,
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1087,
1092,
1093,
1098,
1110,
1129,
1131,
1133,
1134,
1135
]
}
|
bike_share_1
|
Which year experienced the most rain?
|
events = 'Rain'; year refers to YEAR(date);
|
SELECT SUBSTR(CAST(date AS TEXT), -4) FROM weather GROUP BY SUBSTR(CAST(date AS TEXT), -4) ORDER BY SUM(CASE WHEN events LIKE '%Rain%' OR events LIKE '%rain%' THEN 1 ELSE 0 END) DESC LIMIT 1
|
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,011 | 9,011 |
CREATE TABLE `weather`
(
CREATE TABLE "weather"
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
[
"GROUP BY",
"CASE WHEN",
"OR",
"AS",
"SELECT",
"SUM",
"LIKE",
"CASE",
"LIMIT",
"ORDER BY",
"DESC",
"SUBSTR",
"CAST",
"FROM"
] | 18 |
challenging
|
{
"case_1": [
-1
],
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-1
],
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-1
],
"case_4": [
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922,
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962,
973,
975,
1008,
1064,
1087
]
}
|
bike_share_1
|
On 10/20/2014, what is the duration of the fastest trip which started from the station with latitude and longitudes of 37.789625 and -122.400811, respectively? Indicate the bike id.
|
lat = '37.789625' and long = '-122.400811' are latitude and longitude coordinates indicating location; started from the station refers to start_station_name; start_date = '10/20/2014'; duration of the fastest trip refers to MIN(duration);
|
SELECT MIN(T2.duration), T2.bike_id FROM station AS T1 INNER JOIN trip AS T2 ON T2.start_station_name = T1.name WHERE T2.start_date LIKE '10/20/2014%' AND T1.lat = 37.789625 AND T1.long = -122.400811
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,012 | 9,012 |
CREATE TABLE `station`
(
CREATE TABLE "station"
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
installation_date TEXT
)
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_station_id INTEGER,
bike_id INTEGER
)
|
[
"AS",
"AND",
"SELECT",
"/",
"LIKE",
"INNER JOIN",
"ON",
"MIN",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
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403,
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407,
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411,
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416,
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}
|
bike_share_1
|
Among the subscribers who rented a bike from South Van Ness at Market on 12/1/2013, whose duration was the shortest and to which station was the bike returned to? Indicate South Van Ness's dock count.
|
South Van Ness at Market refers to start_station_name; subscriber refers to subscription_type; start_date = '12/1/2013'; the shortest duration refers to MIN(duration); which station was the bike returned to refers to end_station_name;
|
SELECT MIN(T2.duration), T2.end_station_name, COUNT(T2.start_station_name) FROM station AS T1 INNER JOIN trip AS T2 ON T2.start_station_name = T1.name WHERE T2.start_date LIKE '12/1/2013%' AND T2.start_station_name = 'South Van Ness at Market' AND T2.subscription_type = 'Subscriber'
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,013 | 9,013 |
CREATE TABLE `station`
(
name TEXT
)
CREATE TABLE `trip`
(
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
end_station_name TEXT,
subscription_type TEXT
)
|
[
"AS",
"AND",
"SELECT",
"/",
"LIKE",
"INNER JOIN",
"ON",
"MIN",
"COUNT",
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] | 13 |
medium
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}
|
bike_share_1
|
What is the maximum humidity in Powell Street BART when bike 496 was borrowed from the station on 8/29/2013?
|
Powell Street refers to start_station_name; bike 496 refers to bike_id = '496'; start_date = '8/29/2013';
|
SELECT T2.max_humidity FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T1.start_date LIKE '8/29/2013%' AND T1.bike_id = 496 AND T1.start_station_name = 'Powell Street BART'
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,014 | 9,014 |
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_station_id INTEGER,
bike_id INTEGER,
zip_code INTEGER
)
CREATE TABLE `weather`
(
CREATE TABLE "weather"
date TEXT,
max_humidity INTEGER,
zip_code TEXT
)
|
[
"AS",
"AND",
"SELECT",
"/",
"LIKE",
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"ON",
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] | 11 |
medium
|
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}
|
bike_share_1
|
Which day in the month of November, 2014 have a foggy weather in the zip code 94301 and in total, how many bikes were borrowed by subscribers from all of the stations in the said day?
|
day in the month of November, 2014 refers to start_date between '11/1/2014' and '11/30/2014'; foggy weather refers to events = 'Fog'; subscriber refers to subscription_type; all of the stations bikes were borrowed from refer to start_station_name;
|
SELECT T2.date, COUNT(T1.start_station_name) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T2.date LIKE '11/%/2014%' AND T2.zip_code = 94301 AND T2.events = 'Fog' AND T1.subscription_type = 'Subscriber'
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,015 | 9,015 |
CREATE TABLE `trip`
(
start_station_name TEXT,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE `weather`
(
CREATE TABLE "weather"
date TEXT,
events TEXT,
zip_code TEXT
)
|
[
"AS",
"AND",
"SELECT",
"LIKE",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
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medium
|
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]
}
|
bike_share_1
|
What is the name of the station that is less used by customers who borrow bikes from? Indicate when was the station installed.
|
less used station where bikes are borrowed from refers to start_station_name which has the least number of customers; subscription_type = 'Customer'; when installed refers to installation_date;
|
SELECT T1.start_station_name, T2.installation_date FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.subscription_type = 'Customer' GROUP BY T1.start_station_name ORDER BY COUNT(T1.subscription_type) LIMIT 1
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,016 | 9,016 |
CREATE TABLE `station`
(
name TEXT,
lat REAL,
installation_date TEXT
)
CREATE TABLE `trip`
(
start_station_name TEXT,
subscription_type TEXT
)
|
[
"GROUP BY",
"AS",
"SELECT",
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simple
|
{
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71,
72,
73,
74,
75,
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77,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
175,
176,
177,
179,
180,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
252,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
664,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1076,
1077,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
On 11/3/2013, which stations are often empty? Indicate the names of the stations.
|
time = '11/3/2013'; which stations are empty refers to bikes_available = '0';
|
SELECT DISTINCT T1.name FROM station AS T1 INNER JOIN status AS T2 ON T2.station_id = T1.id WHERE T2.bikes_available = 0 AND T2.time LIKE '2013/11/03%'
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,017 | 9,017 |
CREATE TABLE `station`
(
CREATE TABLE "station"
id INTEGER not null
primary key,
name TEXT
)
CREATE TABLE `status`
(
CREATE TABLE "status"
station_id INTEGER,
bikes_available INTEGER,
time TEXT
)
|
[
"AS",
"AND",
"SELECT",
"/",
"LIKE",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
"case_5": [
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214,
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220,
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276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
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449,
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465,
467,
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470,
471,
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473,
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486,
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514,
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518,
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520,
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522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
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539,
540,
541,
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547,
548,
550,
552,
556,
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578,
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580,
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590,
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595,
596,
597,
600,
602,
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606,
607,
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630,
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634,
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637,
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639,
640,
641,
643,
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650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
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670,
671,
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674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
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735,
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740,
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745,
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751,
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753,
754,
755,
756,
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762,
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765,
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814,
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825,
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866,
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896,
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898,
900,
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902,
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910,
911,
912,
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915,
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918,
922,
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924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
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940,
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951,
952,
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954,
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970,
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974,
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977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
What is the average duration of bike trips in the city of Palo Alto?
|
DIVIDE(SUM(duration where city = 'Palo Alto'), COUNT(start_station_id));
|
SELECT AVG(T1.duration) FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.city = 'Palo Alto'
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,018 | 9,018 |
CREATE TABLE `station`
(
name TEXT,
city TEXT
)
CREATE TABLE `trip`
(
duration INTEGER,
start_station_name TEXT
)
|
[
"AS",
"SELECT",
"ON",
"AVG",
"LEFT JOIN",
"FROM"
] | 7 |
simple
|
{
"case_1": [
178
],
"case_2": [
178
],
"case_3": [
178
],
"case_4": [
178,
947,
1009
],
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1104,
1105,
1106,
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1111,
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1132,
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1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
What is the route that has the longest duration? Indicate the city of where the stations are located.
|
route implies a course taken in getting from start_station_name to end_station_name; the longest duration refers to MAX(duration);
|
SELECT T1.start_station_name, T1.end_station_name, T2.city FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.duration = ( SELECT MAX(T1.duration) FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name )
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,019 | 9,019 |
CREATE TABLE `station`
(
name TEXT,
city TEXT
)
CREATE TABLE `trip`
(
duration INTEGER,
start_station_name TEXT,
end_station_name TEXT
)
|
[
"AS",
"SELECT",
"ON",
"LEFT JOIN",
"FROM",
"MAX"
] | 13 |
medium
|
{
"case_1": [
-1
],
"case_2": [
178
],
"case_3": [
178
],
"case_4": [
178,
947,
1009
],
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349,
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357,
358,
360,
361,
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369,
370,
373,
374,
375,
376,
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379,
381,
382,
383,
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385,
386,
387,
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389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
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415,
416,
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876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
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896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
List the name of stations that were installed from 8/5/2013 to 12/31/2013. Indicate their installation date and city name.
|
from 8/5/2013 to 12/31/2013 refers to installation_date between '8/5/2013' and '12/31/2013';
|
SELECT name, installation_date, city FROM station WHERE (SUBSTR(CAST(installation_date AS TEXT), 1, INSTR(installation_date, '/') - 1) = '5' AND SUBSTR(CAST(installation_date AS TEXT), INSTR(installation_date, '/') + 1, -6) >= '8' AND SUBSTR(CAST(installation_date AS TEXT), -4) = '2013') OR (SUBSTR(CAST(installation_date AS TEXT), 1, INSTR(installation_date, '/') - 1) IN ( '6', '7', '8', '9', '10', '11', '12' ) AND SUBSTR(CAST(installation_date AS TEXT), -4) = '2013')
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,020 | 9,020 |
CREATE TABLE `station`
(
name TEXT,
lat REAL,
city TEXT,
installation_date TEXT
)
|
[
"OR",
"AND",
"SELECT",
"AS",
"INSTR",
"IN",
"SUBSTR",
"CAST",
"FROM"
] | 25 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
"case_5": [
10,
20,
22,
24,
89,
93,
106,
113,
119,
152,
184,
200,
219,
223,
267,
278,
317,
341,
367,
382,
383,
393,
406,
409,
448,
451,
452,
476,
500,
510,
514,
537,
563,
581,
663,
686,
690,
740,
753,
798,
800,
808,
810,
829,
832,
838,
851,
870,
874,
896,
924,
958,
985,
998,
1008,
1023,
1064,
1072,
1087,
1101,
1121,
1128
]
}
|
bike_share_1
|
What is the average duration of trips which are started at Adobe on Almaden station to Ryland Park?
|
trips refer to id; DIVIDE(SUM(duration where start_station_name = 'Adobe on Almaden', end_station_name = 'Ryland Park'), COUNT(id));
|
SELECT AVG(duration) FROM trip WHERE start_station_name = 'Adobe on Almaden' AND end_station_name = 'Ryland Park'
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,021 | 9,021 |
CREATE TABLE `trip`
(
duration INTEGER,
start_station_name TEXT,
end_station_name TEXT
)
|
[
"AND",
"on",
"SELECT",
"AVG",
"FROM"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
178,
1009
],
"case_4": [
178,
947,
1009
],
"case_5": [
2,
4,
5,
8,
10,
12,
19,
20,
21,
22,
24,
26,
30,
32,
33,
37,
38,
39,
40,
43,
44,
45,
47,
50,
51,
52,
53,
56,
57,
63,
66,
67,
68,
69,
71,
73,
74,
75,
76,
79,
80,
85,
88,
90,
93,
95,
96,
98,
99,
100,
109,
111,
112,
113,
115,
116,
117,
118,
119,
125,
127,
128,
129,
131,
137,
138,
141,
142,
143,
144,
146,
152,
154,
158,
160,
163,
164,
168,
169,
170,
172,
175,
176,
177,
178,
180,
183,
184,
187,
197,
200,
211,
214,
219,
220,
223,
227,
230,
232,
235,
239,
240,
244,
246,
255,
256,
258,
259,
262,
265,
266,
267,
268,
270,
272,
275,
276,
277,
278,
282,
294,
295,
296,
301,
305,
314,
315,
317,
319,
322,
325,
330,
333,
339,
341,
347,
350,
356,
361,
362,
366,
367,
368,
370,
374,
376,
382,
383,
385,
391,
393,
395,
398,
399,
402,
403,
405,
406,
407,
408,
413,
414,
416,
417,
418,
419,
421,
424,
425,
426,
427,
428,
433,
436,
437,
438,
439,
440,
444,
446,
448,
451,
452,
455,
461,
463,
464,
469,
470,
475,
476,
477,
480,
482,
490,
492,
493,
494,
496,
497,
498,
500,
507,
510,
512,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
533,
537,
539,
541,
544,
551,
554,
557,
558,
559,
561,
562,
563,
581,
582,
584,
586,
588,
589,
591,
594,
595,
599,
601,
605,
608,
610,
612,
613,
615,
618,
622,
624,
625,
626,
627,
632,
633,
637,
641,
643,
648,
651,
656,
663,
666,
667,
668,
671,
675,
677,
678,
679,
680,
683,
684,
685,
686,
687,
690,
692,
693,
696,
697,
699,
702,
704,
707,
712,
714,
715,
716,
718,
719,
726,
727,
730,
734,
735,
736,
739,
740,
741,
743,
746,
747,
749,
753,
754,
756,
758,
760,
763,
765,
767,
768,
773,
775,
776,
777,
780,
781,
783,
784,
785,
788,
789,
793,
794,
797,
798,
799,
800,
804,
806,
807,
808,
810,
814,
817,
819,
820,
824,
825,
829,
830,
831,
832,
833,
835,
838,
840,
843,
844,
848,
849,
851,
853,
855,
858,
859,
860,
861,
862,
863,
864,
867,
870,
873,
877,
878,
879,
886,
888,
892,
895,
896,
902,
903,
905,
907,
917,
920,
923,
924,
928,
930,
931,
932,
935,
944,
945,
949,
953,
954,
956,
957,
958,
961,
965,
969,
974,
985,
986,
991,
996,
998,
1000,
1001,
1008,
1009,
1014,
1017,
1018,
1019,
1020,
1022,
1023,
1025,
1027,
1031,
1039,
1042,
1044,
1046,
1058,
1059,
1060,
1061,
1063,
1064,
1067,
1068,
1071,
1072,
1073,
1079,
1080,
1081,
1084,
1086,
1092,
1100,
1101,
1103,
1104,
1105,
1109,
1111,
1115,
1117,
1119,
1121,
1123,
1126,
1128,
1131,
1136
]
}
|
bike_share_1
|
Write down the times when there is no available bike to borrow in a station. List down the stations name and location coordinate.
|
no available bike to borrow refers to bikes_available = 0; latitude and longitude coordinates can be used to indicate a location;
|
SELECT T2.time, T1.name, T1.lat, T1.long FROM station AS T1 INNER JOIN status AS T2 ON T2.station_id = T1.id WHERE T2.bikes_available = 0
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,022 | 9,022 |
CREATE TABLE `station`
(
CREATE TABLE "station"
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
installation_date TEXT
)
CREATE TABLE `status`
(
CREATE TABLE "status"
station_id INTEGER,
bikes_available INTEGER,
time TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
178
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
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1132,
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1136,
1137
]
}
|
bike_share_1
|
List down the trips in which their start and end station are similar. Give me their trip IDs and location coordinates.
|
start and end station are similar refers to start_station_name = end_station_name; latitude and longitude coordinates can be used to indicate a location;
|
SELECT T1.id, T2.lat, T2.long FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.start_station_name = T1.end_station_name
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,023 | 9,023 |
CREATE TABLE `station`
(
CREATE TABLE "station"
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
installation_date TEXT
)
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
start_station_name TEXT,
start_station_id INTEGER,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER
)
|
[
"AS",
"SELECT",
"ON",
"LEFT JOIN",
"FROM"
] | 6 |
simple
|
{
"case_1": [
178
],
"case_2": [
178
],
"case_3": [
178
],
"case_4": [
178,
947,
1009
],
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1011,
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1038,
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1129,
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1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
On 8/29/2013 at 6:14:01 PM, how many bikes were borrowed from San Jose Diridon Caltrain Station?
|
How many bikes borrowed can be computed as SUBTRACT(SUM(dock_count), bikes_available where name = 'San Jose Diridon Caltrain Station' and time = '2013/08/29 06:14:01');
|
SELECT SUM(T1.dock_count - T2.bikes_available) FROM station AS T1 INNER JOIN status AS T2 ON T1.id = T2.station_id WHERE T1.name = 'San Jose Diridon Caltrain Station' AND T2.time = '2013/08/29 06:14:01'
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,024 | 9,024 |
CREATE TABLE `station`
(
CREATE TABLE "station"
id INTEGER not null
primary key,
name TEXT,
dock_count INTEGER
)
CREATE TABLE `status`
(
CREATE TABLE "status"
station_id INTEGER,
bikes_available INTEGER,
time TEXT
)
|
[
"AS",
"AND",
"SELECT",
"SUM",
"/",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
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1,
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4,
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8,
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354,
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360,
361,
363,
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369,
370,
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382,
383,
384,
385,
386,
387,
388,
389,
390,
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392,
393,
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395,
398,
401,
402,
403,
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407,
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409,
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565,
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567,
569,
570,
571,
572,
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574,
575,
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578,
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580,
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586,
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588,
589,
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592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
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609,
610,
611,
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613,
614,
615,
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620,
621,
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633,
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637,
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639,
640,
641,
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645,
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650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
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670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
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710,
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790,
792,
793,
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797,
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800,
802,
803,
804,
805,
806,
807,
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809,
810,
812,
813,
814,
818,
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822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
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841,
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846,
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850,
851,
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854,
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858,
859,
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861,
862,
863,
866,
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871,
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875,
876,
877,
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880,
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1016,
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1136,
1137
]
}
|
bike_share_1
|
List down the trip IDs when bike no. 10 was used by subscribers and the weather's mean temperature is no less than 62 degress Fahrenheit.
|
bike no. 10 refers to bike_id = '10'; subscription_type = 'Subscriber'; the weather's mean temperature is no less than 62 degress Fahrenheit refers to mean_temperature_f>62;
|
SELECT T1.id FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T1.bike_id = 10 AND T2.mean_temperature_f > 62 AND T1.subscription_type = 'Subscriber'
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,025 | 9,025 |
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
start_station_id INTEGER,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE `weather`
(
mean_temperature_f INTEGER,
zip_code TEXT
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
-1
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-1
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178
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1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
What were the max gust speed and cloud clover when the customer using bike no. 10 recorded the 386 seconds duration of the trip from MLK Library to San Salvador at 1st?
|
subscription_type = 'Customer'; duration = '364'; bike no. 10 refers to bike_id = 10; start_station_name = 'San Jose Civic Center'; end_station_name = 'San Jose City Hall';
|
SELECT T2.max_gust_speed_mph, T2.cloud_cover FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code AND T2.date = SUBSTR(CAST(T1.start_date AS TEXT), 1, INSTR(T1.start_date, ' ') - 1) WHERE T1.bike_id = 10 AND T2.mean_temperature_f > 62 AND T1.subscription_type = 'Customer' AND T1.start_station_name = 'MLK Library' AND T1.end_station_name = 'San Salvador at 1st' AND T1.duration = 386
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,026 | 9,026 |
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE `weather`
(
CREATE TABLE "weather"
date TEXT,
mean_temperature_f INTEGER,
max_gust_speed_mph INTEGER,
cloud_cover INTEGER,
zip_code TEXT
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"INSTR",
"SUBSTR",
"CAST",
"FROM"
] | 16 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
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62,
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}
|
bike_share_1
|
Among the subscriber, how many of them finished the 2nd at Folsom and Civic Center BART (7th at Market) as their start and end stations respectively for no more than 490 seconds under minimum visibility of 4 miles.
|
subscription_type = 'Subscriber'; no more than 490 seconds refers to duration<490; start_station_name = '2nd at Folsom'; end_station_name = 'Civic Center BART (7th at Market)'; min_visibility_miles = 4;
|
SELECT COUNT(T1.id) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T1.subscription_type = 'Subscriber' AND T2.min_visibility_miles = 4 AND T1.duration < 490 AND T1.start_station_name = '2nd at Folsom' AND T1.end_station_name = 'Civic Center BART (7th at Market)'
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,027 | 9,027 |
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
duration INTEGER,
start_station_name TEXT,
start_station_id INTEGER,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE `weather`
(
min_visibility_miles INTEGER,
zip_code TEXT
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 11 |
medium
|
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1080,
1082,
1084,
1085,
1086,
1087,
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1098,
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1100,
1101,
1103,
1104,
1105,
1106,
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1122,
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1124,
1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
How many docks were available at the starting station of trip ID 912900?
|
SELECT SUM(T2.docks_available) FROM trip AS T1 INNER JOIN status AS T2 ON T2.station_id = T1.start_station_id WHERE T1.zip_code = 912900
|
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,028 | 9,028 |
CREATE TABLE `status`
(
CREATE TABLE "status"
station_id INTEGER,
docks_available INTEGER
)
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
start_station_id INTEGER,
end_station_id INTEGER,
bike_id INTEGER,
zip_code INTEGER
)
|
[
"AS",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
178
],
"case_4": [
178,
947,
1009
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993,
994,
996,
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999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
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1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
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1095,
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1099,
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1103,
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1106,
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1114,
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1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
bike_share_1
|
Please write down the trip IDs which ended on the days when the minimum temperature is less than 45 degrees Fahrenheit.
|
the minimum temperature is less than 45 degrees Fahrenheit refers to min_temperature_f<45;
|
SELECT T1.id FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T2.min_temperature_f < 45
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,029 | 9,029 |
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
start_station_id INTEGER,
end_station_id INTEGER,
bike_id INTEGER,
zip_code INTEGER
)
CREATE TABLE `weather`
(
min_temperature_f INTEGER,
zip_code TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
178
],
"case_4": [
178,
947,
1009
],
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0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
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250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
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289,
290,
292,
295,
296,
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298,
299,
300,
301,
302,
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308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
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761,
762,
763,
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765,
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772,
773,
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775,
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780,
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825,
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830,
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833,
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835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
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868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
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937,
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940,
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967,
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970,
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998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
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1011,
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1016,
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1023,
1025,
1027,
1029,
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1036,
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1038,
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1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
In 2014, what is the shortest duration of trips by subscribers which started at 2nd at Folsom and ended in the 5th at Howard stations, and by how much shorter than the average? Give me the minimum temperature, maximum gust speed and weather event on that trip.
|
the shortest duration refers to MIN(duration); subscription_type = 'Subscriber', start_station_name = '2nd at Folsom', end_station_name = '5th at Howard'; in 2014 refers to time period between start_date = '1/1/2014 0:00' and end_date = '12/31/2014 11:59; Average duration = DIVIDE(SUM(duration), COUNT(id));
|
SELECT MIN(T1.duration) , MIN(T1.duration) - AVG(T1.duration), T2.min_temperature_f FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T1.start_date = '1/1/2014 0:00' AND T1.end_date = '12/31/2014 11:59' AND T1.start_station_name = '2nd at Folsom' AND T1.end_station_name = '5th at Howard' AND T1.subscription_type = 'Subscriber'
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,030 | 9,030 |
CREATE TABLE `trip`
(
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
end_date TEXT,
end_station_name TEXT,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE `weather`
(
CREATE TABLE "weather"
date TEXT,
min_temperature_f INTEGER,
zip_code TEXT
)
|
[
"AS",
"AND",
"SELECT",
"/",
"INNER JOIN",
"ON",
"AVG",
"MIN",
"FROM"
] | 17 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
178
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
1,
3,
4,
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1106,
1109,
1111,
1112,
1114,
1115,
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1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
Find the average ride time of the bikes that started at Steuart at Market station and ended at Embarcadero at Sansome station in July 2014.
|
started at refers to start_station_name; start_station_name = 'Steuart at Market'; ended at refers to end_station_name; end_station_name = 'Embarcadero at Sansome'; rides in July 2004 refers to start_date = '7/1/2014 0:00'AND end_date = '7/31/2014 12:59';average ride time = DIVIDE(SUM(duration), COUNT(id))
|
SELECT AVG(duration) FROM trip WHERE start_date = '7/1/2014%' AND end_date = '7/31/2014%' AND start_station_name = 'Steuart at Market' AND end_station_name = 'Embarcadero at Sansome'
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,031 | 9,031 |
CREATE TABLE `trip`
(
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
end_date TEXT,
end_station_name TEXT
)
|
[
"AND",
"SELECT",
"/",
"AVG",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
178,
1009
],
"case_4": [
178,
947,
1009
],
"case_5": [
2,
4,
5,
8,
10,
12,
19,
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21,
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33,
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515,
516,
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520,
522,
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528,
529,
530,
533,
537,
539,
541,
544,
551,
554,
557,
558,
559,
561,
562,
563,
581,
582,
584,
586,
588,
589,
591,
594,
595,
599,
601,
605,
608,
610,
612,
613,
615,
618,
622,
624,
625,
626,
627,
632,
633,
636,
637,
641,
643,
648,
649,
651,
656,
663,
666,
667,
668,
671,
675,
677,
678,
679,
680,
683,
684,
685,
686,
687,
690,
692,
693,
696,
697,
699,
702,
704,
707,
712,
714,
715,
716,
718,
719,
726,
727,
730,
734,
735,
736,
739,
740,
741,
743,
746,
747,
749,
753,
754,
756,
758,
760,
763,
765,
767,
768,
773,
775,
776,
777,
780,
781,
783,
784,
785,
788,
789,
793,
794,
797,
798,
799,
800,
804,
806,
807,
808,
810,
813,
814,
817,
819,
820,
824,
825,
829,
830,
831,
832,
833,
835,
838,
840,
843,
844,
848,
849,
851,
853,
855,
858,
859,
860,
861,
862,
863,
864,
865,
867,
870,
873,
877,
878,
879,
886,
888,
892,
895,
896,
902,
903,
905,
907,
917,
920,
923,
924,
928,
930,
931,
932,
935,
944,
945,
949,
953,
954,
956,
957,
958,
961,
965,
969,
974,
985,
986,
991,
996,
998,
1000,
1001,
1008,
1009,
1014,
1017,
1018,
1019,
1020,
1022,
1023,
1025,
1027,
1031,
1039,
1042,
1044,
1046,
1058,
1059,
1060,
1061,
1063,
1064,
1066,
1067,
1068,
1071,
1072,
1073,
1079,
1080,
1081,
1084,
1086,
1092,
1100,
1101,
1103,
1104,
1105,
1109,
1111,
1115,
1117,
1119,
1121,
1123,
1126,
1128,
1131,
1136
]
}
|
bike_share_1
|
What are the average maximum and minimum temperatures in May 2015 when the mean humidity is between 65 and 75?
|
average maximum temperature = DIVIDE(SUM(max_temperature_f), COUNT(date)); average minimum temperature = DIVIDE(SUM(min_temperature_f), COUNT(date)); May 2015 refers to date BETWEEN '5/1/2015'AND '5/31/2015';
|
SELECT AVG(max_temperature_f), AVG(min_temperature_f) FROM weather WHERE date LIKE '5/%/2015' AND mean_humidity BETWEEN 65 AND 75
|
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,032 | 9,032 |
CREATE TABLE `weather`
(
max_temperature_f INTEGER,
min_temperature_f INTEGER,
mean_humidity INTEGER
)
|
[
"AND",
"SELECT",
"LIKE",
"AVG",
"BETWEEN",
"FROM"
] | 8 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
"case_5": [
2,
10,
20,
26,
32,
38,
39,
43,
57,
74,
76,
79,
90,
93,
98,
127,
131,
144,
146,
168,
184,
187,
223,
240,
256,
258,
277,
305,
315,
319,
325,
339,
341,
350,
356,
383,
399,
402,
403,
407,
421,
433,
438,
444,
451,
452,
463,
476,
482,
493,
530,
544,
557,
559,
562,
586,
591,
624,
656,
666,
667,
675,
677,
686,
740,
743,
747,
749,
754,
756,
777,
788,
798,
800,
804,
810,
832,
844,
849,
858,
864,
870,
879,
907,
917,
924,
930,
944,
954,
985,
1000,
1001,
1018,
1019,
1022,
1042,
1064,
1067,
1081,
1092,
1101,
1111,
1117,
1123,
1128
]
}
|
bike_share_1
|
Calculate the difference between the number of customers and the number of subscribers who did the trip in June 2013.
|
customer refers to subscription_type = 'Customer'; subscribers refers to subscription_type = 'Subscriber'; difference = SUBTRACT(SUM(subscription_type = 'Subscriber' t), SUM(subscription_type = 'Customer')); trip in June 2013 refers to start_date BETWEEN '6/1/2013 0:00'AND '6/31/2013 12:59';
|
SELECT SUM(IIF(subscription_type = 'Subscriber', 1, 0)) - SUM(IIF(subscription_type = 'Customer', 1, 0)) FROM trip WHERE start_date LIKE '6/%/2013%'
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,033 | 9,033 |
CREATE TABLE `trip`
(
start_date TEXT,
subscription_type TEXT
)
|
[
"LIKE",
"SUM",
"SELECT",
"FROM"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
"case_5": [
3,
6,
20,
24,
26,
35,
38,
39,
42,
54,
57,
59,
61,
64,
71,
77,
81,
82,
83,
87,
90,
93,
94,
104,
112,
113,
114,
120,
122,
126,
127,
129,
131,
136,
141,
146,
148,
153,
155,
168,
169,
173,
179,
184,
186,
189,
191,
192,
195,
201,
202,
204,
205,
207,
212,
213,
215,
219,
223,
225,
226,
228,
234,
236,
240,
245,
247,
248,
254,
258,
261,
263,
264,
271,
277,
279,
285,
300,
304,
313,
315,
316,
317,
323,
335,
341,
347,
348,
350,
356,
360,
363,
365,
373,
377,
378,
379,
381,
383,
397,
402,
403,
407,
409,
412,
415,
421,
427,
430,
433,
438,
444,
448,
450,
452,
453,
470,
476,
483,
486,
487,
488,
500,
504,
506,
510,
517,
518,
525,
527,
532,
535,
537,
540,
546,
547,
550,
557,
563,
564,
571,
575,
579,
580,
581,
591,
597,
598,
609,
612,
623,
624,
628,
629,
630,
638,
640,
650,
658,
662,
666,
675,
676,
682,
686,
690,
695,
701,
709,
710,
717,
723,
738,
740,
743,
744,
745,
747,
749,
750,
753,
754,
756,
762,
774,
776,
777,
787,
788,
795,
796,
798,
800,
802,
804,
808,
810,
813,
823,
825,
827,
828,
832,
841,
844,
848,
850,
858,
865,
868,
870,
871,
872,
874,
875,
879,
894,
896,
907,
909,
912,
913,
917,
918,
922,
924,
929,
930,
939,
943,
944,
948,
958,
959,
962,
973,
979,
980,
987,
998,
1000,
1008,
1012,
1018,
1019,
1022,
1023,
1027,
1031,
1038,
1042,
1054,
1057,
1064,
1068,
1069,
1070,
1078,
1082,
1087,
1092,
1093,
1096,
1098,
1100,
1101,
1110,
1111,
1117,
1121,
1128,
1135
]
}
|
bike_share_1
|
List the days in 2013 when rain and fog occurred together and find the id of bikes borrowed on these days.
|
in 2013 refers to year(date) = 2013; rain and fog ocurred together refers to events = 'Fog-Rain'; id of bikes refers to biked_id;
|
SELECT T2.date, T1.bike_id FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE SUBSTR(CAST(T2.date AS TEXT), -4) = '2013' AND T2.events = 'Fog-Rain'
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,034 | 9,034 |
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
start_station_id INTEGER,
end_station_id INTEGER,
bike_id INTEGER,
zip_code INTEGER
)
CREATE TABLE `weather`
(
CREATE TABLE "weather"
date TEXT,
events TEXT,
zip_code TEXT
)
|
[
"AS",
"AND",
"SELECT",
"-",
"INNER JOIN",
"ON",
"SUBSTR",
"CAST",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
Find the longest ride on foggy day. What were the mean visibility, mean wind speed, and weather event during that ride? Also, list the coordinates and names of the start and end stations.
|
foggy day refers to events = 'fog'; longest ride on a foggy day refers to MAX(duration) where events = 'fog'; mean visibility refers to mean_visibility_miles; mean wind speed refers to mean_wind_speed_mph; weather event refers to events; coordinates refers to (lat, long); start station refers to start_station_id; end station refers to end_station_id;
|
SELECT T3.mean_visibility_miles, T3.mean_wind_speed_mph, T3.events, T1.lat, T1.long , T2.start_station_name, T2.end_station_name FROM station AS T1 INNER JOIN trip AS T2 ON T2.start_station_name = T1.name INNER JOIN weather AS T3 ON T3.zip_code = T2.zip_code WHERE T3.events = 'Fog' ORDER BY T2.duration DESC LIMIT 1
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,035 | 9,035 |
CREATE TABLE `station`
(
name TEXT,
lat REAL,
long REAL,
installation_date TEXT
)
CREATE TABLE `trip`
(
duration INTEGER,
start_station_name TEXT,
end_station_name TEXT,
zip_code INTEGER
)
CREATE TABLE `weather`
(
mean_visibility_miles INTEGER,
mean_wind_speed_mph INTEGER,
events TEXT,
zip_code TEXT
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
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38,
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47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
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65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
80,
81,
82,
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84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
619,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
664,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1076,
1077,
1078,
1080,
1082,
1083,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1139,
1141
]
}
|
bike_share_1
|
For the rides that started at Market at 10th station and ended at South Van Ness at Market station in August of 2013, which day had the coldest temperature?
|
started at refers to start_station_name; start_station_name = 'Market at 10th'; ended at refers to end_station_name; end_station_name = 'South Van Ness at Market'; in August of 2013 refers to start_date BETWEEN '8/1/2013 0:00' AND '8/31/2013 12:59'; day that had the coldest temperature refers to MIN(min_temperature_f);
|
SELECT T1.start_date FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code AND T2.date = SUBSTR(CAST(T1.start_date AS TEXT), 1, INSTR(T1.start_date, ' ') - 1) WHERE T2.date LIKE '8/%/2013' AND T1.start_station_name = 'Market at 10th' AND T1.end_station_name = 'South Van Ness at Market' AND T2.min_temperature_f = ( SELECT MIN(T2.min_temperature_f) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code AND T2.date = SUBSTR(CAST(T1.start_date AS TEXT), 1, INSTR(T1.start_date, ' ') - 1) WHERE T2.date LIKE '8/%/2013' AND T1.start_station_name = 'Market at 10th' AND T1.end_station_name = 'South Van Ness at Market' )
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,036 | 9,036 |
CREATE TABLE `trip`
(
start_date TEXT,
start_station_name TEXT,
end_station_name TEXT,
zip_code INTEGER
)
CREATE TABLE `weather`
(
CREATE TABLE "weather"
date TEXT,
min_temperature_f INTEGER,
zip_code TEXT
)
|
[
"AS",
"AND",
"SELECT",
"LIKE",
"INNER JOIN",
"ON",
"INSTR",
"SUBSTR",
"CAST",
"MIN",
"FROM"
] | 30 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
"case_5": [
3,
4,
5,
6,
8,
12,
16,
19,
20,
21,
22,
24,
26,
30,
33,
37,
39,
44,
45,
47,
51,
52,
53,
57,
59,
63,
64,
66,
68,
69,
71,
72,
73,
74,
75,
76,
77,
81,
82,
85,
88,
90,
93,
95,
96,
98,
99,
106,
111,
112,
113,
115,
116,
117,
118,
119,
120,
125,
126,
127,
128,
129,
131,
136,
138,
141,
142,
143,
144,
146,
148,
152,
154,
158,
160,
163,
164,
169,
170,
172,
175,
176,
177,
179,
180,
183,
184,
187,
189,
195,
197,
200,
201,
202,
212,
214,
219,
225,
226,
227,
234,
236,
239,
240,
244,
247,
248,
254,
256,
258,
261,
262,
264,
265,
266,
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282,
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368,
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382,
383,
385,
391,
393,
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398,
402,
403,
405,
406,
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412,
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414,
415,
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419,
424,
425,
426,
427,
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430,
433,
436,
437,
438,
440,
444,
446,
448,
451,
452,
455,
463,
464,
469,
470,
475,
476,
477,
478,
480,
482,
483,
487,
490,
493,
494,
496,
497,
498,
500,
507,
514,
515,
516,
519,
520,
522,
524,
526,
528,
529,
530,
532,
533,
535,
537,
539,
540,
541,
544,
547,
557,
558,
559,
560,
561,
562,
563,
564,
575,
580,
581,
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584,
586,
588,
589,
595,
597,
605,
608,
610,
612,
613,
615,
620,
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624,
625,
626,
627,
632,
633,
637,
641,
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651,
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663,
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671,
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683,
684,
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1111,
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1116,
1119,
1123,
1128,
1131,
1136
]
}
|
bike_share_1
|
Among the rides during the rainy days, which ride was the longest? List the start station, end station, and duration of this ride.
|
rainy days refers to events = 'rain'; longest ride refers to MAX(duration); start station refers to start_station_name; end station refers to end_station_name; duration of the ride refers to duration;
|
SELECT T1.start_station_name, T1.end_station_name, T1.duration FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T2.events = 'Rain' OR T2.events = 'rain' ORDER BY T1.duration DESC LIMIT 1
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,037 | 9,037 |
CREATE TABLE `trip`
(
duration INTEGER,
start_station_name TEXT,
end_station_name TEXT,
zip_code INTEGER
)
CREATE TABLE `weather`
(
events TEXT,
zip_code TEXT
)
|
[
"OR",
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
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-1
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"case_4": [
178,
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]
}
|
bike_share_1
|
Find the average ride duration during the rain of more than 0.8 inches.
|
rain of more than 0.8 inches refers to events = rain where precipitation_inches>0.8; average ride duration = DIVIDE(SUM(duration), COUNT(duration));
|
SELECT AVG(T1.duration) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE (T2.events = 'Rain' AND T2.precipitation_inches > 0.8) OR (T2.events = 'rain' AND T2.precipitation_inches > 0.8)
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,038 | 9,038 |
CREATE TABLE `trip`
(
duration INTEGER,
zip_code INTEGER
)
CREATE TABLE `weather`
(
precipitation_inches TEXT,
events TEXT,
zip_code TEXT
)
|
[
"OR",
"AND",
"SELECT",
"AS",
"INNER JOIN",
"ON",
"AVG",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
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-1
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178
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178,
947,
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220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
List the name and city of starting stations which has an above-average duration trips.
|
starting stations refers to start_station_name; above average duration trips = DIVIDE(SUM(duration), COUNT(main_trip.id))<duration;
|
SELECT DISTINCT T1.start_station_name, T2.city FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.duration > ( SELECT AVG(T1.duration) FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name )
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,039 | 9,039 |
CREATE TABLE `station`
(
name TEXT,
city TEXT
)
CREATE TABLE `trip`
(
duration INTEGER,
start_station_name TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"AVG",
"LEFT JOIN",
"FROM"
] | 13 |
medium
|
{
"case_1": [
-1
],
"case_2": [
178
],
"case_3": [
178
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
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771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
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790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
How many stations in San Francisco are installed in 2014?
|
stations refers to name; San Francisco refers to city = 'San Francisco'; installed in 2004 refers to installation_date like'%2014';
|
SELECT SUM(CASE WHEN city = 'San Francisco' AND SUBSTR(installation_date, -4) = '2014' THEN 1 ELSE 0 END) FROM station
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,040 | 9,040 |
CREATE TABLE `station`
(
lat REAL,
city TEXT,
installation_date TEXT
)
|
[
"CASE WHEN",
"AND",
"SELECT",
"SUM",
"CASE",
"SUBSTR",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
6,
16,
24,
39,
42,
50,
54,
61,
64,
71,
77,
81,
93,
104,
106,
112,
113,
120,
122,
127,
129,
141,
148,
152,
153,
155,
158,
169,
173,
184,
189,
191,
192,
195,
201,
205,
207,
212,
215,
219,
223,
225,
226,
234,
236,
245,
248,
258,
261,
264,
267,
271,
279,
299,
300,
304,
305,
317,
322,
335,
347,
350,
356,
360,
362,
375,
382,
383,
393,
398,
402,
406,
409,
412,
415,
418,
423,
427,
438,
448,
451,
452,
453,
458,
470,
476,
478,
485,
486,
500,
504,
508,
510,
514,
517,
518,
528,
535,
537,
540,
547,
550,
554,
563,
564,
571,
573,
575,
580,
581,
601,
612,
620,
623,
628,
640,
646,
662,
666,
676,
682,
686,
690,
709,
710,
723,
740,
744,
747,
753,
762,
772,
776,
777,
787,
788,
795,
796,
798,
800,
808,
810,
825,
827,
832,
841,
844,
848,
868,
870,
871,
872,
874,
896,
909,
912,
922,
924,
926,
939,
943,
944,
958,
959,
979,
985,
998,
1008,
1012,
1023,
1027,
1031,
1036,
1048,
1062,
1064,
1068,
1069,
1078,
1082,
1087,
1092,
1093,
1098,
1100,
1110,
1121,
1129,
1131,
1133,
1134,
1135
]
}
|
bike_share_1
|
In 2006, how many trips ended at stations in Mountain View?
|
in 2006 refers to start_date LIKE'%2006%'; ended at station refers to end_station_name; Mountain View refers to city = 'Mountain View';
|
SELECT COUNT(T2.city) FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.end_station_name WHERE T2.city = 'Mountain View' AND T1.start_date LIKE '%2006%'
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,041 | 9,041 |
CREATE TABLE `station`
(
name TEXT,
city TEXT
)
CREATE TABLE `trip`
(
start_date TEXT,
end_station_name TEXT
)
|
[
"AS",
"AND",
"SELECT",
"LIKE",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
"case_5": [
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11,
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206,
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213,
214,
217,
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220,
221,
225,
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236,
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243,
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261,
262,
264,
265,
266,
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275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
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300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
421,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
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435,
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445,
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459,
460,
462,
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475,
476,
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478,
479,
480,
482,
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491,
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494,
495,
496,
497,
498,
499,
500,
501,
503,
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509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
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548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
591,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
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627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
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643,
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645,
646,
647,
648,
649,
650,
651,
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684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
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800,
802,
803,
804,
805,
806,
807,
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809,
810,
812,
813,
814,
818,
819,
822,
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830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
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850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
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950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
Which trip id had the longest duration and the start station is in Redwood City?
|
longest duration refers to MAX(duration); start station refers to start_station_name;
|
SELECT T1.id FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.city = 'Redwood City' AND T1.duration = ( SELECT MAX(T1.duration) FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.city = 'Redwood City' )
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,042 | 9,042 |
CREATE TABLE `station`
(
CREATE TABLE "station"
id INTEGER not null
primary key,
name TEXT,
city TEXT
)
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
duration INTEGER,
start_station_name TEXT,
start_station_id INTEGER,
end_station_id INTEGER,
bike_id INTEGER
)
|
[
"AS",
"AND",
"SELECT",
"ON",
"LEFT JOIN",
"FROM",
"MAX"
] | 14 |
medium
|
{
"case_1": [
-1
],
"case_2": [
178
],
"case_3": [
178
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
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26,
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105,
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121,
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136,
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139,
140,
141,
142,
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145,
146,
148,
150,
151,
152,
153,
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155,
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160,
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165,
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170,
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202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
270,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
820,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1073,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
Please list bikes id were used in trips which start station were installed in 2013.
|
start station refers to start_station_name; installed in 2013 refers to installation_date LIKE '%2013';
|
SELECT DISTINCT T1.bike_id FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.installation_date LIKE '%2013'
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,043 | 9,043 |
CREATE TABLE `station`
(
CREATE TABLE "station"
id INTEGER not null
primary key,
name TEXT,
lat REAL,
installation_date TEXT
)
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
start_station_name TEXT,
start_station_id INTEGER,
end_station_id INTEGER,
bike_id INTEGER
)
|
[
"AS",
"SELECT",
"LIKE",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
178
],
"case_2": [
178
],
"case_3": [
178
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
How many trips which subscription types were Subscriber and ended in San Jose city?
|
ended in refers to end_station_name;
|
SELECT COUNT(T1.subscription_type) FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.end_station_name WHERE T1.subscription_type = 'Subscriber' AND T2.city = 'San Jose'
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,044 | 9,044 |
CREATE TABLE `station`
(
name TEXT,
city TEXT
)
CREATE TABLE `trip`
(
end_station_name TEXT,
subscription_type TEXT
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
178
],
"case_2": [
178
],
"case_3": [
178
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
35,
36,
37,
39,
40,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
109,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
230,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
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395,
398,
399,
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520,
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522,
523,
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528,
529,
530,
532,
533,
535,
536,
537,
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539,
540,
541,
542,
544,
547,
548,
550,
552,
554,
556,
557,
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559,
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561,
562,
563,
564,
565,
566,
567,
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570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
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586,
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595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
618,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
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645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
665,
666,
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670,
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676,
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678,
680,
681,
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684,
685,
686,
687,
688,
690,
691,
692,
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694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
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707,
710,
711,
712,
714,
715,
717,
718,
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720,
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722,
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725,
726,
727,
728,
730,
733,
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735,
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740,
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744,
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750,
751,
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753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
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771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
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786,
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788,
790,
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797,
798,
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857,
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861,
862,
863,
866,
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870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
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893,
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896,
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898,
900,
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902,
903,
904,
905,
907,
908,
909,
910,
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912,
913,
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915,
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925,
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928,
930,
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937,
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940,
941,
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945,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
965,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
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1056,
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1080,
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1085,
1086,
1087,
1089,
1091,
1092,
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1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
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1113,
1114,
1115,
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1121,
1122,
1123,
1124,
1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
Which trip had the shortest duration and started at the station that can hold 15 bikes?
|
shortest duration refers to MIN(duration); started at the station refers to start_station_name; can hold 15 bikes refers to dock_count = 15;
|
SELECT T1.id FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.dock_count = 15 AND T1.duration = ( SELECT MIN(T1.duration) FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.dock_count = 15 )
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,045 | 9,045 |
CREATE TABLE `station`
(
CREATE TABLE "station"
id INTEGER not null
primary key,
name TEXT,
dock_count INTEGER
)
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
duration INTEGER,
start_station_name TEXT,
start_station_id INTEGER,
end_station_id INTEGER,
bike_id INTEGER
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"MIN",
"LEFT JOIN",
"FROM"
] | 14 |
medium
|
{
"case_1": [
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178
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710,
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1003,
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1006,
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1017,
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1029,
1031,
1033,
1034,
1035,
1037,
1038,
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1041,
1042,
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1044,
1045,
1046,
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1050,
1051,
1052,
1056,
1058,
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1062,
1063,
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1066,
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1068,
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1080,
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1089,
1091,
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1095,
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1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
Which year had the most number of trips that started at stations in San Francisco?
|
started at station refers to start_station_name; San Francisco refers to city = 'San Francisco'; year that had the most number of trips refers to MAX(year(start_date));
|
SELECT SUBSTR(CAST(T1.start_date AS TEXT), INSTR(T1.start_date, ' '), -4) FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.city = 'San Francisco' GROUP BY T1.start_station_name ORDER BY COUNT(T1.id) DESC LIMIT 1
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,046 | 9,046 |
CREATE TABLE `station`
(
CREATE TABLE "station"
id INTEGER not null
primary key,
name TEXT,
city TEXT
)
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_station_id INTEGER,
bike_id INTEGER
)
|
[
"GROUP BY",
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"INSTR",
"DESC",
"SUBSTR",
"CAST",
"COUNT",
"FROM"
] | 15 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
"case_5": [
1,
6,
10,
11,
13,
15,
16,
20,
22,
28,
29,
36,
49,
55,
59,
62,
69,
73,
75,
77,
78,
86,
89,
93,
106,
108,
113,
115,
119,
121,
125,
126,
138,
140,
142,
143,
148,
150,
152,
159,
162,
163,
167,
169,
173,
179,
184,
187,
188,
189,
191,
199,
202,
206,
212,
213,
214,
225,
226,
229,
233,
234,
247,
252,
254,
261,
262,
267,
275,
278,
281,
286,
309,
311,
313,
314,
316,
317,
319,
320,
323,
324,
329,
334,
335,
336,
341,
342,
344,
345,
348,
349,
352,
353,
356,
359,
360,
364,
365,
371,
373,
375,
378,
379,
381,
382,
383,
385,
394,
395,
403,
406,
409,
411,
412,
424,
428,
429,
434,
435,
444,
445,
448,
451,
454,
460,
462,
469,
473,
476,
478,
482,
487,
495,
497,
500,
505,
530,
532,
535,
536,
537,
538,
542,
547,
548,
552,
560,
563,
564,
566,
567,
578,
579,
580,
581,
584,
586,
590,
592,
595,
597,
611,
620,
621,
625,
626,
630,
634,
637,
638,
645,
654,
657,
658,
659,
662,
664,
665,
669,
681,
688,
690,
691,
696,
698,
701,
703,
719,
721,
733,
735,
740,
743,
748,
750,
752,
753,
759,
760,
762,
768,
772,
778,
779,
787,
790,
796,
800,
802,
803,
810,
813,
818,
823,
827,
830,
841,
850,
851,
861,
866,
869,
870,
874,
876,
886,
889,
891,
893,
896,
898,
901,
909,
911,
912,
918,
922,
924,
926,
927,
929,
934,
943,
950,
951,
954,
956,
958,
962,
963,
966,
967,
970,
972,
973,
975,
977,
981,
985,
993,
994,
1004,
1005,
1006,
1010,
1013,
1017,
1023,
1025,
1030,
1034,
1037,
1038,
1043,
1047,
1049,
1050,
1051,
1056,
1057,
1062,
1064,
1065,
1067,
1068,
1072,
1076,
1077,
1078,
1082,
1087,
1094,
1106,
1124,
1128,
1135,
1137
]
}
|
bike_share_1
|
What is the percentage of trips that started in San Jose and durations were longer than 800 seconds?
|
percentage of trips = DIVIDE(COUNT(duration>800), COUNT(duration)) as percentage; San Jose refers to city = 'San Jose'; duration>800;
|
SELECT CAST(SUM(CASE WHEN T1.duration > 800 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.id) FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.city = 'San Jose'
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,047 | 9,047 |
CREATE TABLE `station`
(
CREATE TABLE "station"
id INTEGER not null
primary key,
name TEXT,
city TEXT
)
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
duration INTEGER,
start_station_name TEXT,
start_station_id INTEGER,
end_station_id INTEGER,
bike_id INTEGER
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
1,
4,
6,
11,
16,
22,
24,
27,
30,
35,
36,
37,
39,
42,
47,
51,
53,
55,
61,
62,
63,
64,
68,
69,
71,
73,
74,
75,
77,
81,
82,
83,
86,
87,
88,
91,
93,
94,
96,
98,
104,
106,
112,
113,
115,
117,
118,
119,
120,
121,
125,
126,
127,
129,
131,
140,
141,
142,
143,
146,
148,
152,
153,
155,
158,
159,
160,
164,
167,
169,
170,
171,
173,
175,
179,
183,
184,
186,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
201,
202,
206,
207,
212,
213,
214,
215,
219,
223,
225,
226,
227,
228,
229,
233,
234,
236,
243,
244,
247,
248,
254,
256,
258,
261,
264,
267,
268,
269,
271,
276,
277,
278,
279,
298,
299,
300,
301,
304,
311,
313,
314,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
356,
358,
360,
363,
364,
365,
370,
373,
374,
375,
378,
379,
381,
382,
383,
384,
391,
392,
393,
394,
398,
401,
402,
403,
406,
409,
411,
412,
415,
416,
417,
423,
424,
426,
427,
436,
438,
444,
445,
448,
450,
451,
452,
453,
454,
458,
460,
462,
464,
465,
467,
469,
470,
471,
473,
476,
477,
478,
479,
483,
484,
485,
486,
487,
488,
490,
493,
500,
504,
505,
509,
510,
514,
515,
516,
517,
518,
519,
520,
526,
528,
532,
535,
536,
537,
538,
540,
544,
547,
548,
550,
552,
558,
559,
560,
563,
564,
566,
571,
573,
575,
579,
580,
581,
582,
595,
596,
597,
606,
608,
609,
611,
612,
613,
620,
623,
627,
628,
630,
632,
633,
634,
638,
640,
641,
645,
646,
649,
650,
654,
658,
659,
662,
663,
665,
666,
668,
669,
671,
672,
676,
681,
682,
686,
687,
688,
690,
694,
695,
696,
701,
705,
706,
710,
712,
714,
717,
721,
723,
727,
733,
734,
735,
736,
739,
740,
743,
744,
745,
747,
749,
750,
752,
753,
756,
760,
762,
768,
769,
772,
776,
777,
778,
779,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
808,
810,
812,
813,
814,
818,
819,
823,
824,
825,
827,
830,
832,
838,
839,
841,
844,
848,
849,
851,
853,
857,
866,
867,
868,
870,
871,
874,
876,
877,
880,
886,
888,
893,
894,
896,
897,
898,
901,
902,
909,
911,
912,
913,
915,
917,
918,
922,
923,
924,
926,
927,
930,
934,
935,
941,
943,
944,
950,
951,
954,
956,
958,
959,
961,
962,
963,
969,
973,
975,
977,
981,
985,
986,
993,
996,
998,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1022,
1023,
1027,
1031,
1037,
1038,
1042,
1043,
1047,
1050,
1051,
1058,
1062,
1064,
1066,
1067,
1068,
1069,
1071,
1072,
1078,
1082,
1084,
1086,
1087,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1112,
1119,
1121,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
bike_share_1
|
How many trips in 2013 had durations longer than 1000 seconds?
|
trips in 2013 refers to start_date like'%2013%'; duration>1000;
|
SELECT COUNT(duration) FROM trip WHERE start_date LIKE '%/%/2013%' AND duration > 1000
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,048 | 9,048 |
CREATE TABLE `trip`
(
duration INTEGER,
start_date TEXT
)
|
[
"AND",
"SELECT",
"LIKE",
"COUNT",
"FROM"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
1009
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
8,
9,
10,
11,
12,
13,
15,
16,
19,
20,
21,
22,
24,
25,
26,
27,
28,
30,
32,
33,
35,
36,
37,
38,
39,
40,
43,
44,
45,
47,
50,
51,
52,
53,
55,
56,
57,
59,
61,
62,
63,
66,
67,
68,
69,
71,
73,
74,
75,
76,
77,
78,
79,
81,
82,
85,
86,
87,
88,
89,
90,
91,
93,
95,
96,
98,
99,
100,
106,
108,
109,
111,
112,
113,
114,
115,
116,
117,
118,
119,
121,
124,
125,
126,
127,
128,
129,
131,
136,
138,
140,
141,
142,
143,
144,
146,
147,
148,
152,
154,
157,
158,
159,
160,
163,
164,
167,
168,
169,
170,
172,
173,
175,
176,
177,
179,
180,
182,
183,
184,
185,
187,
188,
189,
190,
191,
192,
196,
197,
198,
199,
200,
202,
203,
204,
206,
210,
212,
214,
216,
219,
223,
224,
225,
226,
227,
229,
230,
233,
234,
239,
240,
243,
244,
247,
252,
254,
255,
256,
258,
259,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
275,
276,
277,
278,
282,
286,
291,
293,
294,
296,
299,
301,
303,
305,
311,
314,
315,
316,
317,
319,
320,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
348,
349,
350,
352,
354,
356,
358,
359,
360,
361,
362,
364,
367,
368,
370,
371,
373,
374,
375,
376,
377,
380,
382,
383,
384,
385,
391,
392,
393,
394,
395,
397,
398,
399,
401,
402,
403,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
423,
424,
425,
426,
427,
428,
430,
433,
436,
437,
438,
439,
440,
443,
444,
445,
446,
447,
448,
451,
452,
453,
454,
455,
458,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
473,
475,
476,
477,
478,
480,
481,
482,
484,
485,
487,
488,
490,
492,
493,
494,
496,
497,
498,
500,
504,
505,
507,
509,
510,
512,
514,
515,
516,
517,
519,
520,
522,
524,
525,
526,
528,
529,
530,
531,
532,
533,
535,
536,
537,
538,
539,
541,
542,
543,
544,
545,
546,
547,
548,
551,
552,
554,
557,
558,
559,
560,
561,
562,
563,
564,
566,
573,
580,
581,
582,
584,
585,
586,
588,
589,
591,
594,
595,
596,
597,
598,
599,
601,
603,
605,
606,
608,
610,
611,
612,
613,
615,
618,
620,
622,
624,
625,
626,
627,
629,
630,
632,
633,
634,
637,
641,
643,
645,
646,
648,
649,
651,
654,
656,
658,
659,
661,
662,
663,
664,
665,
666,
667,
668,
669,
671,
673,
675,
677,
678,
679,
680,
681,
683,
684,
685,
686,
687,
688,
689,
690,
692,
693,
694,
696,
697,
698,
699,
702,
703,
705,
707,
712,
714,
715,
716,
718,
719,
721,
726,
727,
730,
733,
734,
735,
736,
737,
738,
739,
740,
741,
743,
746,
747,
748,
749,
750,
752,
753,
754,
756,
757,
758,
760,
762,
763,
765,
767,
768,
769,
770,
772,
773,
774,
775,
776,
777,
778,
779,
780,
783,
785,
787,
788,
790,
793,
794,
795,
796,
797,
798,
799,
800,
802,
804,
806,
807,
808,
810,
811,
812,
813,
814,
817,
818,
819,
820,
821,
824,
825,
827,
828,
829,
830,
831,
832,
835,
838,
839,
840,
841,
843,
844,
848,
849,
850,
851,
853,
855,
857,
858,
859,
860,
861,
864,
865,
866,
867,
869,
870,
873,
874,
875,
876,
877,
878,
879,
886,
888,
890,
892,
893,
894,
895,
896,
897,
898,
899,
901,
902,
903,
905,
907,
909,
911,
912,
913,
915,
917,
918,
920,
922,
923,
924,
926,
927,
928,
930,
931,
932,
934,
935,
941,
942,
943,
944,
945,
948,
949,
950,
951,
953,
954,
956,
958,
960,
961,
963,
965,
968,
969,
972,
974,
975,
976,
977,
979,
980,
981,
983,
985,
986,
991,
993,
996,
998,
1000,
1001,
1005,
1006,
1008,
1009,
1010,
1011,
1013,
1014,
1015,
1017,
1018,
1019,
1020,
1022,
1023,
1027,
1030,
1031,
1037,
1039,
1042,
1043,
1044,
1046,
1047,
1050,
1051,
1053,
1054,
1055,
1057,
1058,
1059,
1061,
1062,
1063,
1064,
1067,
1068,
1069,
1070,
1071,
1072,
1073,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
1084,
1086,
1087,
1090,
1092,
1094,
1096,
1098,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1115,
1117,
1119,
1121,
1123,
1124,
1126,
1127,
1128,
1131,
1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
Please calculate the average duration of trips started at South Van Ness at Market in 2015.
|
started at refers to start_station_name; start_station_name = 'South Van Ness at Market'; average duration = DIVIDE(SUM(duration), COUNT(duration));
|
SELECT AVG(duration) FROM trip WHERE start_date LIKE '%2015%' AND start_station_name = 'South Van Ness at Market'
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,049 | 9,049 |
CREATE TABLE `trip`
(
duration INTEGER,
start_date TEXT,
start_station_name TEXT
)
|
[
"AND",
"SELECT",
"LIKE",
"AVG",
"FROM"
] | 5 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
178,
1009
],
"case_4": [
178,
947,
1009
],
"case_5": [
2,
3,
4,
5,
8,
10,
12,
19,
20,
21,
22,
24,
26,
30,
32,
33,
37,
38,
39,
40,
43,
44,
45,
47,
50,
51,
52,
53,
56,
57,
59,
63,
66,
67,
68,
69,
71,
73,
74,
75,
76,
79,
80,
81,
82,
85,
88,
90,
93,
95,
96,
98,
99,
100,
109,
111,
112,
113,
114,
115,
116,
117,
118,
119,
125,
126,
127,
128,
129,
131,
136,
137,
138,
141,
142,
143,
144,
146,
152,
154,
158,
160,
163,
164,
168,
169,
170,
172,
175,
176,
177,
178,
179,
180,
183,
184,
187,
197,
200,
202,
204,
211,
212,
214,
219,
220,
223,
227,
230,
232,
235,
239,
240,
244,
246,
247,
255,
256,
258,
259,
262,
263,
264,
265,
266,
267,
268,
270,
272,
275,
276,
277,
278,
282,
294,
295,
296,
301,
305,
314,
315,
317,
319,
322,
325,
330,
333,
339,
341,
348,
350,
356,
361,
362,
366,
367,
368,
370,
373,
374,
376,
377,
382,
383,
385,
391,
393,
395,
397,
398,
399,
402,
403,
405,
406,
407,
408,
413,
414,
415,
416,
417,
418,
419,
421,
424,
425,
426,
427,
428,
430,
433,
436,
437,
438,
439,
440,
444,
446,
448,
451,
452,
455,
461,
463,
464,
469,
470,
475,
476,
477,
480,
482,
490,
492,
493,
494,
496,
497,
498,
500,
507,
510,
512,
514,
515,
516,
519,
520,
522,
524,
525,
526,
528,
529,
530,
532,
533,
537,
539,
541,
544,
546,
551,
554,
557,
558,
559,
561,
562,
563,
581,
582,
584,
586,
588,
589,
591,
594,
595,
598,
599,
601,
605,
608,
610,
612,
613,
615,
618,
622,
624,
625,
626,
627,
629,
632,
633,
637,
641,
643,
648,
651,
656,
663,
666,
667,
668,
671,
675,
677,
678,
679,
680,
683,
684,
685,
686,
687,
690,
692,
693,
696,
697,
699,
702,
704,
707,
712,
714,
715,
716,
718,
719,
726,
727,
730,
734,
735,
736,
738,
739,
740,
741,
743,
746,
747,
749,
753,
754,
756,
758,
760,
763,
765,
767,
768,
773,
774,
775,
776,
777,
780,
781,
783,
784,
785,
787,
788,
789,
793,
794,
796,
797,
798,
799,
800,
804,
806,
807,
808,
810,
814,
817,
819,
820,
824,
825,
828,
829,
830,
831,
832,
833,
835,
838,
840,
841,
843,
844,
848,
849,
850,
851,
853,
855,
858,
859,
860,
861,
862,
863,
864,
865,
867,
870,
873,
875,
877,
878,
879,
886,
888,
892,
895,
896,
902,
903,
905,
907,
909,
917,
918,
920,
922,
923,
924,
928,
930,
931,
932,
935,
944,
945,
948,
949,
953,
954,
956,
957,
958,
961,
965,
969,
974,
979,
980,
985,
986,
991,
996,
998,
1000,
1001,
1008,
1009,
1014,
1017,
1018,
1019,
1020,
1022,
1023,
1025,
1027,
1031,
1039,
1042,
1044,
1046,
1054,
1057,
1058,
1059,
1060,
1061,
1063,
1064,
1067,
1068,
1070,
1071,
1072,
1073,
1079,
1080,
1081,
1084,
1086,
1092,
1096,
1098,
1100,
1101,
1103,
1104,
1105,
1109,
1111,
1115,
1117,
1119,
1121,
1123,
1126,
1128,
1131,
1136
]
}
|
bike_share_1
|
How many trips which start station and end station are the same?
|
start station refers to start_station_id; end station refers to end_station_id; start station and end station are the same refers to start_station_id = end_station_id;
|
SELECT SUM(IIF(start_station_id = end_station_id, 1, 0)) FROM trip
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,050 | 9,050 |
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
start_station_id INTEGER,
end_station_id INTEGER,
bike_id INTEGER
)
|
[
"SUM",
"SELECT",
"FROM"
] | 3 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
178,
947,
1009
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199,
200,
201,
202,
203,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
215,
216,
217,
218,
219,
220,
221,
222,
223,
224,
225,
226,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
238,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
249,
250,
251,
252,
253,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
280,
281,
282,
283,
284,
285,
286,
287,
288,
289,
290,
291,
292,
293,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
306,
307,
308,
309,
310,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
326,
327,
328,
329,
330,
331,
332,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352,
353,
354,
355,
356,
357,
358,
359,
360,
361,
362,
363,
364,
365,
366,
367,
368,
369,
370,
371,
372,
373,
374,
375,
376,
377,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
396,
397,
398,
399,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
410,
411,
412,
413,
414,
415,
416,
417,
418,
419,
420,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
442,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
461,
462,
463,
464,
465,
466,
467,
468,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
499,
500,
501,
502,
503,
504,
505,
506,
507,
508,
509,
510,
511,
512,
513,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
525,
526,
527,
528,
529,
530,
531,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
543,
544,
545,
546,
547,
548,
549,
550,
551,
552,
553,
554,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
568,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
585,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
598,
599,
600,
601,
602,
603,
604,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
617,
618,
619,
620,
621,
622,
623,
624,
625,
626,
627,
628,
629,
630,
631,
632,
633,
634,
635,
636,
637,
638,
639,
640,
641,
642,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
664,
665,
666,
667,
668,
669,
670,
671,
672,
673,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
692,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
757,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
785,
786,
787,
788,
789,
790,
791,
792,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
803,
804,
805,
806,
807,
808,
809,
810,
811,
812,
813,
814,
815,
816,
817,
818,
819,
820,
821,
822,
823,
824,
825,
826,
827,
828,
829,
830,
831,
832,
833,
834,
835,
836,
837,
838,
839,
840,
841,
842,
843,
844,
845,
846,
847,
848,
849,
850,
851,
852,
853,
854,
855,
856,
857,
858,
859,
860,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
883,
884,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
897,
898,
899,
900,
901,
902,
903,
904,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
919,
920,
921,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
953,
954,
955,
956,
957,
958,
959,
960,
961,
962,
963,
964,
965,
966,
967,
968,
969,
970,
971,
972,
973,
974,
975,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
990,
991,
992,
993,
994,
995,
996,
997,
998,
999,
1000,
1001,
1002,
1003,
1004,
1005,
1006,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1055,
1056,
1057,
1058,
1059,
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1061,
1062,
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1064,
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1066,
1067,
1068,
1069,
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1071,
1072,
1073,
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1075,
1076,
1077,
1078,
1079,
1080,
1081,
1082,
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1084,
1085,
1086,
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1088,
1089,
1090,
1091,
1092,
1093,
1094,
1095,
1096,
1097,
1098,
1099,
1100,
1101,
1102,
1103,
1104,
1105,
1106,
1107,
1108,
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1113,
1114,
1115,
1116,
1117,
1118,
1119,
1120,
1121,
1122,
1123,
1124,
1125,
1126,
1127,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1138,
1139,
1140,
1141
]
}
|
bike_share_1
|
Please list trips id started on the hottest day.
|
started refers to start_date; the hottest day refers to max_temperature_f;
|
SELECT T1.id FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code ORDER BY T2.max_temperature_f DESC LIMIT 1
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,051 | 9,051 |
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
start_station_id INTEGER,
end_station_id INTEGER,
bike_id INTEGER,
zip_code INTEGER
)
CREATE TABLE `weather`
(
max_temperature_f INTEGER,
zip_code TEXT
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
-1
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
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3,
4,
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252,
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260,
261,
262,
263,
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268,
269,
272,
275,
276,
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278,
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281,
282,
284,
285,
286,
287,
289,
290,
291,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
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389,
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619,
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810,
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818,
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822,
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833,
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871,
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902,
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910,
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922,
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925,
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930,
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937,
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940,
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944,
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950,
951,
952,
953,
954,
956,
958,
959,
961,
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963,
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969,
970,
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980,
981,
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985,
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987,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
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1072,
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1077,
1078,
1080,
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1083,
1084,
1085,
1086,
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1089,
1091,
1092,
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1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1139,
1141
]
}
|
bike_share_1
|
Which were the trips that started at Mountain View City Hall and ended on a rainy day?
|
started at refers to start_station_name; start_station_name = 'Mountain View City Hall'; ended on a rainy day refers to end_date where events = 'rain';
|
SELECT T1.id FROM trip AS T1 INNER JOIN weather AS T2 WHERE T2.events = 'Rain' AND T1.start_station_name = 'Mountain View City Hall'
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,052 | 9,052 |
CREATE TABLE `trip`
(
CREATE TABLE "trip"
id INTEGER not null
primary key,
start_station_name TEXT,
start_station_id INTEGER,
end_station_id INTEGER,
bike_id INTEGER
)
CREATE TABLE `weather`
(
events TEXT
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
178,
1009
],
"case_4": [
178,
947,
1009
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
35,
36,
37,
38,
39,
40,
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42,
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85,
86,
87,
88,
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91,
92,
93,
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96,
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100,
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107,
109,
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113,
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116,
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125,
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127,
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130,
131,
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134,
135,
136,
137,
138,
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140,
141,
142,
143,
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145,
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150,
151,
152,
153,
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155,
158,
159,
160,
162,
163,
164,
165,
166,
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170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
230,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
350,
353,
354,
356,
357,
358,
360,
361,
362,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
418,
419,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
439,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
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456,
457,
458,
459,
460,
462,
463,
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465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
492,
493,
494,
495,
496,
497,
498,
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1128,
1129,
1130,
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1133,
1134,
1135,
1136,
1137
]
}
|
bike_share_1
|
What is the average duration of trips that ended on a foggy day?
|
ended on a foggy day refers to end_date where events = 'fog'; average duration = DIVIDE(SUM(duration), COUNT(duration));
|
SELECT AVG(T1.duration) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T2.events = 'Fog'
|
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
CREATE TABLE "station"
(
id INTEGER not null
primary key,
name TEXT,
lat REAL,
long REAL,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE "status"
(
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE "trip"
(
id INTEGER not null
primary key,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE "weather"
(
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches REAL,
mean_sea_level_pressure_inches REAL,
min_sea_level_pressure_inches REAL,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches TEXT,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code TEXT
)
|
na
| 9,053 | 9,053 |
CREATE TABLE `trip`
(
duration INTEGER,
zip_code INTEGER
)
CREATE TABLE `weather`
(
events TEXT,
zip_code TEXT
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"AVG",
"FROM"
] | 7 |
simple
|
{
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-1
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1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
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