schema
stringlengths 29
5.42k
| question
stringlengths 0
752
| rejected
stringlengths 2
4.44k
| chosen
stringlengths 4
8.94k
| weight
float64 0
8.73
|
|---|---|---|---|---|
CREATE TABLE table_name_36 (score VARCHAR2, record VARCHAR2)
|
Which score has a record of 18-21-7?
|
SELECT score FROM table_name_36 WHERE record = "18-21-7"
|
SELECT "score" FROM "table_name_36" WHERE "18-21-7" = "record"
| 0.060547 |
CREATE TABLE table_5883 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
|
What is the number of Silver medals with 2 Bronze and 0 Gold?
|
SELECT COUNT("Silver") FROM table_5883 WHERE "Bronze" = '2' AND "Gold" < '0'
|
SELECT COUNT("Silver") FROM "table_5883" WHERE "Bronze" = '2' AND "Gold" < '0'
| 0.076172 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
|
how many male patients have private health insurance?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.insurance = "Private"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "M" = "demographic"."gender" AND "Private" = "demographic"."insurance"
| 0.141602 |
CREATE TABLE table_name_21 (average VARCHAR2, matches VARCHAR2, wickets VARCHAR2, career VARCHAR2)
|
Name the total number of average for wickets more than 537, career of 1899/00-1925/26 and matches less than 211
|
SELECT COUNT(average) FROM table_name_21 WHERE wickets > 537 AND career = "1899/00-1925/26" AND matches < 211
|
SELECT COUNT("average") FROM "table_name_21" WHERE "1899/00-1925/26" = "career" AND "matches" < 211 AND "wickets" > 537
| 0.116211 |
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
|
5 answers containing inline `code` markup.
|
SELECT * FROM Posts WHERE PostTypeId = 2 AND (Body LIKE '%`_`%' OR Body LIKE '%`__`%' OR Body LIKE '%`___`%' OR Body LIKE '%`____`%' OR Body LIKE '%`_____`%') AND (LEFT(Body, 50) LIKE '%`_`%' OR LEFT(Body, 50) LIKE '%`__`%' OR LEFT(Body, 50) LIKE '%`___`%' OR LEFT(Body, 50) LIKE '%`____`%' OR LEFT(Body, 50) LIKE '%`_____`%') LIMIT 5
|
SELECT * FROM "Posts" WHERE ("Body" LIKE '%`_____`%' OR "Body" LIKE '%`____`%' OR "Body" LIKE '%`___`%' OR "Body" LIKE '%`__`%' OR "Body" LIKE '%`_`%') AND "PostTypeId" = 2 AND (LEFT("Body", 50) LIKE '%`_____`%' OR LEFT("Body", 50) LIKE '%`____`%' OR LEFT("Body", 50) LIKE '%`___`%' OR LEFT("Body", 50) LIKE '%`__`%' OR LEFT("Body", 50) LIKE '%`_`%') FETCH FIRST 5 ROWS ONLY
| 0.365234 |
CREATE TABLE table_16747 ("Rnd" FLOAT, "Race" CLOB, "Date" CLOB, "Location" CLOB, "Pole Position" CLOB, "Fastest Lap" CLOB, "Race Winner" CLOB, "Constructor" CLOB, "Report" CLOB)
|
how many times is the pole position niki lauda and the race is monaco grand prix?
|
SELECT COUNT("Rnd") FROM table_16747 WHERE "Pole Position" = 'Niki Lauda' AND "Race" = 'Monaco Grand Prix'
|
SELECT COUNT("Rnd") FROM "table_16747" WHERE "Pole Position" = 'Niki Lauda' AND "Race" = 'Monaco Grand Prix'
| 0.105469 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
|
what were the numbers of patients who received antiplatelet agent - aspirin within the same month following the diagnosis of chest pain in the last year?
|
SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'chest pain' AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'antiplatelet agent - aspirin' AND DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 WHERE t1.diagnosistime < t2.treatmenttime AND DATETIME(t1.diagnosistime, 'start of month') = DATETIME(t2.treatmenttime, 'start of month')
|
SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "treatment" ON "diagnosis"."diagnosistime" < "treatment"."treatmenttime" AND "treatment"."treatmentname" = 'antiplatelet agent - aspirin' AND DATETIME("diagnosis"."diagnosistime", 'start of month') = DATETIME("treatment"."treatmenttime", 'start of month') AND DATETIME("treatment"."treatmenttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') JOIN "patient" "patient_2" ON "patient_2"."patientunitstayid" = "treatment"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'chest pain' AND DATETIME("diagnosis"."diagnosistime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')
| 0.758789 |
CREATE TABLE table_11970261_2 (preliminaries VARCHAR2, average VARCHAR2)
|
what's the preliminaries with average being 9.360
|
SELECT preliminaries FROM table_11970261_2 WHERE average = "9.360"
|
SELECT "preliminaries" FROM "table_11970261_2" WHERE "9.360" = "average"
| 0.070313 |
CREATE TABLE table_45445 ("Round" FLOAT, "Race Name" CLOB, "Pole position" CLOB, "Winning driver" CLOB, "Winning Team" CLOB)
|
What race did the team Mi-Jack Conquest racing win with a pole position of andreas wirth?
|
SELECT "Race Name" FROM table_45445 WHERE "Winning Team" = 'mi-jack conquest racing' AND "Pole position" = 'andreas wirth'
|
SELECT "Race Name" FROM "table_45445" WHERE "Pole position" = 'andreas wirth' AND "Winning Team" = 'mi-jack conquest racing'
| 0.121094 |
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
|
have patient 15257's sao2 been normal in 12/last year?
|
SELECT COUNT(*) > 0 FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 15257)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'sao2' AND d_items.linksto = 'chartevents') AND chartevents.valuenum BETWEEN sao2_lower AND sao2_upper AND DATETIME(chartevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', chartevents.charttime) = '12'
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 15257 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'sao2' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT COUNT(*) > 0 FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" <= "sao2_upper" AND "chartevents"."valuenum" >= "sao2_lower" AND DATETIME("chartevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%m', "chartevents"."charttime") = '12'
| 0.892578 |
CREATE TABLE table_name_43 (crowd NUMBER, away_team VARCHAR2)
|
I want to know the average crowd for away team of melbourne
|
SELECT AVG(crowd) FROM table_name_43 WHERE away_team = "melbourne"
|
SELECT AVG("crowd") FROM "table_name_43" WHERE "away_team" = "melbourne"
| 0.070313 |
CREATE TABLE table_16078 ("Round" FLOAT, "Choice" FLOAT, "Overall" FLOAT, "Player name" CLOB, "Position" CLOB, "College" CLOB)
|
Which player went to Emporia State?
|
SELECT "Player name" FROM table_16078 WHERE "College" = 'Emporia State'
|
SELECT "Player name" FROM "table_16078" WHERE "College" = 'Emporia State'
| 0.071289 |
CREATE TABLE table_2623498_5 (title VARCHAR2, written_by VARCHAR2)
|
What is the number of titles written by Charleen Easton?
|
SELECT COUNT(title) FROM table_2623498_5 WHERE written_by = "Charleen Easton"
|
SELECT COUNT("title") FROM "table_2623498_5" WHERE "Charleen Easton" = "written_by"
| 0.081055 |
CREATE TABLE table_name_58 (grid VARCHAR2, laps VARCHAR2, driver VARCHAR2)
|
When laps are less than 80 and Bruce mclaren is the driver, what is the grid?
|
SELECT grid FROM table_name_58 WHERE laps < 80 AND driver = "bruce mclaren"
|
SELECT "grid" FROM "table_name_58" WHERE "bruce mclaren" = "driver" AND "laps" < 80
| 0.081055 |
CREATE TABLE college (cname CLOB, state CLOB, enr NUMBER)
CREATE TABLE tryout (pid NUMBER, cname CLOB, ppos CLOB, decision CLOB)
CREATE TABLE player (pid NUMBER, pname CLOB, ycard CLOB, hs NUMBER)
|
Find the names of the students who are in the position of striker and got a yes tryout decision.
|
SELECT T1.pname FROM player AS T1 JOIN tryout AS T2 ON T1.pid = T2.pid WHERE T2.decision = 'yes' AND T2.ppos = 'striker'
|
SELECT "T1"."pname" FROM "player" "T1" JOIN "tryout" "T2" ON "T1"."pid" = "T2"."pid" AND "T2"."decision" = 'yes' AND "T2"."ppos" = 'striker'
| 0.136719 |
CREATE TABLE table_17447 ("Pick #" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "NHL team" CLOB, "College/junior/club team" CLOB)
|
What is the nationality of the player from Buffalo Sabres?
|
SELECT "Nationality" FROM table_17447 WHERE "NHL team" = 'Buffalo Sabres'
|
SELECT "Nationality" FROM "table_17447" WHERE "NHL team" = 'Buffalo Sabres'
| 0.073242 |
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
|
Bar graph to show how many country name from different country name, and show by the y-axis from low to high.
|
SELECT COUNTRY_NAME, COUNT(COUNTRY_NAME) FROM countries GROUP BY COUNTRY_NAME ORDER BY COUNT(COUNTRY_NAME)
|
SELECT "COUNTRY_NAME", COUNT("COUNTRY_NAME") FROM "countries" GROUP BY "COUNTRY_NAME" ORDER BY COUNT("COUNTRY_NAME")
| 0.113281 |
CREATE TABLE table_10801 ("Poll source" CLOB, "Date ( s ) administered" CLOB, "Sample size" CLOB, "Margin of error" CLOB, "Barbara Boxer ( D ) " CLOB, "Carly Fiorina ( R ) " CLOB, "Other" CLOB, "Undecided" CLOB)
|
what is the percent for other when the margin of error is 3%?
|
SELECT "Other" FROM table_10801 WHERE "Margin of error" = '± 3%'
|
SELECT "Other" FROM "table_10801" WHERE "Margin of error" = '± 3%'
| 0.064453 |
CREATE TABLE table_3945 ("Finish" FLOAT, "Start" FLOAT, "Car" FLOAT, "Driver" CLOB, "Make" CLOB, "Sponsor" CLOB, "Pts/bns" CLOB, "Laps" FLOAT, "Status" CLOB, "Winnings" FLOAT)
|
What was the greatest number of laps run?
|
SELECT MAX("Laps") FROM table_3945
|
SELECT MAX("Laps") FROM "table_3945"
| 0.035156 |
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
|
Can undergraduates take 990 ?
|
SELECT DISTINCT advisory_requirement, enforced_requirement, name FROM course WHERE department = 'EECS' AND number = 990
|
SELECT DISTINCT "advisory_requirement", "enforced_requirement", "name" FROM "course" WHERE "department" = 'EECS' AND "number" = 990
| 0.12793 |
CREATE TABLE table_name_35 (to_par VARCHAR2, score VARCHAR2)
|
What is the To par of the Player with a Score of 73-70-71-72=286?
|
SELECT to_par FROM table_name_35 WHERE score = 73 - 70 - 71 - 72 = 286
|
SELECT "to_par" FROM "table_name_35" WHERE "score" = FALSE
| 0.056641 |
CREATE TABLE salary (year NUMBER, team_id CLOB, league_id CLOB, player_id CLOB, salary NUMBER)
CREATE TABLE postseason (year NUMBER, round CLOB, team_id_winner CLOB, league_id_winner CLOB, team_id_loser CLOB, league_id_loser CLOB, wins NUMBER, losses NUMBER, ties NUMBER)
CREATE TABLE manager_award_vote (award_id CLOB, year NUMBER, league_id CLOB, player_id CLOB, points_won NUMBER, points_max NUMBER, votes_first NUMBER)
CREATE TABLE home_game (year NUMBER, league_id CLOB, team_id CLOB, park_id CLOB, span_first CLOB, span_last CLOB, games NUMBER, openings NUMBER, attendance NUMBER)
CREATE TABLE team (year NUMBER, league_id CLOB, team_id CLOB, franchise_id CLOB, div_id CLOB, rank NUMBER, g NUMBER, ghome NUMBER, w NUMBER, l NUMBER, div_win CLOB, wc_win CLOB, lg_win CLOB, ws_win CLOB, r NUMBER, ab NUMBER, h NUMBER, double NUMBER, triple NUMBER, hr NUMBER, bb NUMBER, so NUMBER, sb NUMBER, cs NUMBER, hbp NUMBER, sf NUMBER, ra NUMBER, er NUMBER, era NUMBER, cg NUMBER, sho NUMBER, sv NUMBER, ipouts NUMBER, ha NUMBER, hra NUMBER, bba NUMBER, soa NUMBER, e NUMBER, dp NUMBER, fp NUMBER, name CLOB, park CLOB, attendance NUMBER, bpf NUMBER, ppf NUMBER, team_id_br CLOB, team_id_lahman45 CLOB, team_id_retro CLOB)
CREATE TABLE player_college (player_id CLOB, college_id CLOB, year NUMBER)
CREATE TABLE park (park_id CLOB, park_name CLOB, park_alias CLOB, city CLOB, state CLOB, country CLOB)
CREATE TABLE all_star (player_id CLOB, year NUMBER, game_num NUMBER, game_id CLOB, team_id CLOB, league_id CLOB, gp NUMBER, starting_pos NUMBER)
CREATE TABLE appearances (year NUMBER, team_id CLOB, league_id CLOB, player_id CLOB, g_all NUMBER, gs NUMBER, g_batting NUMBER, g_defense NUMBER, g_p NUMBER, g_c NUMBER, g_1b NUMBER, g_2b NUMBER, g_3b NUMBER, g_ss NUMBER, g_lf NUMBER, g_cf NUMBER, g_rf NUMBER, g_of NUMBER, g_dh NUMBER, g_ph NUMBER, g_pr NUMBER)
CREATE TABLE pitching (player_id CLOB, year NUMBER, stint NUMBER, team_id CLOB, league_id CLOB, w NUMBER, l NUMBER, g NUMBER, gs NUMBER, cg NUMBER, sho NUMBER, sv NUMBER, ipouts NUMBER, h NUMBER, er NUMBER, hr NUMBER, bb NUMBER, so NUMBER, baopp NUMBER, era NUMBER, ibb NUMBER, wp NUMBER, hbp NUMBER, bk NUMBER, bfp NUMBER, gf NUMBER, r NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE player_award (player_id CLOB, award_id CLOB, year NUMBER, league_id CLOB, tie CLOB, notes CLOB)
CREATE TABLE fielding_outfield (player_id CLOB, year NUMBER, stint NUMBER, glf NUMBER, gcf NUMBER, grf NUMBER)
CREATE TABLE manager (player_id CLOB, year NUMBER, team_id CLOB, league_id CLOB, inseason NUMBER, g NUMBER, w NUMBER, l NUMBER, rank NUMBER, plyr_mgr CLOB)
CREATE TABLE fielding_postseason (player_id CLOB, year NUMBER, team_id CLOB, league_id CLOB, round CLOB, pos CLOB, g NUMBER, gs NUMBER, inn_outs NUMBER, po NUMBER, a NUMBER, e NUMBER, dp NUMBER, tp NUMBER, pb NUMBER, sb NUMBER, cs NUMBER)
CREATE TABLE manager_half (player_id CLOB, year NUMBER, team_id CLOB, league_id CLOB, inseason NUMBER, half NUMBER, g NUMBER, w NUMBER, l NUMBER, rank NUMBER)
CREATE TABLE batting (player_id CLOB, year NUMBER, stint NUMBER, team_id CLOB, league_id CLOB, g NUMBER, ab NUMBER, r NUMBER, h NUMBER, double NUMBER, triple NUMBER, hr NUMBER, rbi NUMBER, sb NUMBER, cs NUMBER, bb NUMBER, so NUMBER, ibb NUMBER, hbp NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE batting_postseason (year NUMBER, round CLOB, player_id CLOB, team_id CLOB, league_id CLOB, g NUMBER, ab NUMBER, r NUMBER, h NUMBER, double NUMBER, triple NUMBER, hr NUMBER, rbi NUMBER, sb NUMBER, cs NUMBER, bb NUMBER, so NUMBER, ibb NUMBER, hbp NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE team_half (year NUMBER, league_id CLOB, team_id CLOB, half NUMBER, div_id CLOB, div_win CLOB, rank NUMBER, g NUMBER, w NUMBER, l NUMBER)
CREATE TABLE pitching_postseason (player_id CLOB, year NUMBER, round CLOB, team_id CLOB, league_id CLOB, w NUMBER, l NUMBER, g NUMBER, gs NUMBER, cg NUMBER, sho NUMBER, sv NUMBER, ipouts NUMBER, h NUMBER, er NUMBER, hr NUMBER, bb NUMBER, so NUMBER, baopp CLOB, era NUMBER, ibb NUMBER, wp NUMBER, hbp NUMBER, bk NUMBER, bfp NUMBER, gf NUMBER, r NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE college (college_id CLOB, name_full CLOB, city CLOB, state CLOB, country CLOB)
CREATE TABLE fielding (player_id CLOB, year NUMBER, stint NUMBER, team_id CLOB, league_id CLOB, pos CLOB, g NUMBER, gs NUMBER, inn_outs NUMBER, po NUMBER, a NUMBER, e NUMBER, dp NUMBER, pb NUMBER, wp NUMBER, sb NUMBER, cs NUMBER, zr NUMBER)
CREATE TABLE manager_award (player_id CLOB, award_id CLOB, year NUMBER, league_id CLOB, tie CLOB, notes NUMBER)
CREATE TABLE team_franchise (franchise_id CLOB, franchise_name CLOB, active CLOB, na_assoc CLOB)
CREATE TABLE player_award_vote (award_id CLOB, year NUMBER, league_id CLOB, player_id CLOB, points_won NUMBER, points_max NUMBER, votes_first NUMBER)
CREATE TABLE hall_of_fame (player_id CLOB, yearid NUMBER, votedby CLOB, ballots NUMBER, needed NUMBER, votes NUMBER, inducted CLOB, category CLOB, needed_note CLOB)
CREATE TABLE player (player_id CLOB, birth_year NUMBER, birth_month NUMBER, birth_day NUMBER, birth_country CLOB, birth_state CLOB, birth_city CLOB, death_year NUMBER, death_month NUMBER, death_day NUMBER, death_country CLOB, death_state CLOB, death_city CLOB, name_first CLOB, name_last CLOB, name_given CLOB, weight NUMBER, height NUMBER, bats CLOB, throws CLOB, debut CLOB, final_game CLOB, retro_id CLOB, bbref_id CLOB)
|
For each year, return the year and the average number of attendance at home games.
|
SELECT year, AVG(attendance) FROM home_game GROUP BY year
|
SELECT "year", AVG("attendance") FROM "home_game" GROUP BY "year"
| 0.063477 |
CREATE TABLE table_1574 ("Team" CLOB, "Outgoing manager" CLOB, "Manner of departure" CLOB, "Date of vacancy" CLOB, "Replaced by" CLOB, "Date of appointment" CLOB, "Position in table" CLOB)
|
Name the replaced by when outgoing manager is kent nielsen
|
SELECT "Replaced by" FROM table_1574 WHERE "Outgoing manager" = 'Kent Nielsen'
|
SELECT "Replaced by" FROM "table_1574" WHERE "Outgoing manager" = 'Kent Nielsen'
| 0.078125 |
CREATE TABLE Candidate_Assessments (candidate_id NUMBER, qualification CHAR, assessment_date DATETIME, asessment_outcome_code CHAR)
CREATE TABLE Student_Course_Attendance (student_id NUMBER, course_id NUMBER, date_of_attendance DATETIME)
CREATE TABLE People_Addresses (person_address_id NUMBER, person_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Addresses (address_id NUMBER, line_1 VARCHAR2, line_2 VARCHAR2, city VARCHAR2, zip_postcode CHAR, state_province_county VARCHAR2, country VARCHAR2)
CREATE TABLE People (person_id NUMBER, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, cell_mobile_number VARCHAR2, email_address VARCHAR2, login_name VARCHAR2, password VARCHAR2)
CREATE TABLE Student_Course_Registrations (student_id NUMBER, course_id NUMBER, registration_date DATETIME)
CREATE TABLE Students (student_id NUMBER, student_details VARCHAR2)
CREATE TABLE Courses (course_id VARCHAR2, course_name VARCHAR2, course_description VARCHAR2, other_details VARCHAR2)
CREATE TABLE Candidates (candidate_id NUMBER, candidate_details VARCHAR2)
|
For all course_name from courses table, group by the course name and count them with a bar chart, I want to sort in descending by the x axis.
|
SELECT course_name, COUNT(course_name) FROM Courses GROUP BY course_name ORDER BY course_name DESC
|
SELECT "course_name", COUNT("course_name") FROM "Courses" GROUP BY "course_name" ORDER BY "course_name" DESC
| 0.105469 |
CREATE TABLE table_60401 ("Game" CLOB, "Date" CLOB, "Home Team" CLOB, "Result" CLOB, "Road Team" CLOB)
|
What is Game, when Road Team is 'Syracuse', and when Result is '96-89'?
|
SELECT "Game" FROM table_60401 WHERE "Road Team" = 'syracuse' AND "Result" = '96-89'
|
SELECT "Game" FROM "table_60401" WHERE "Result" = '96-89' AND "Road Team" = 'syracuse'
| 0.083984 |
CREATE TABLE table_22385461_6 (end__utc_ VARCHAR2, spacecraft VARCHAR2)
|
What is the end (UTC) for spacecraft STS-114 Eva 3?
|
SELECT end__utc_ FROM table_22385461_6 WHERE spacecraft = "STS-114 EVA 3"
|
SELECT "end__utc_" FROM "table_22385461_6" WHERE "STS-114 EVA 3" = "spacecraft"
| 0.077148 |
CREATE TABLE table_name_73 (week VARCHAR2, air_date VARCHAR2)
|
Which Week has an Air Date of august 30, 2008?
|
SELECT week FROM table_name_73 WHERE air_date = "august 30, 2008"
|
SELECT "week" FROM "table_name_73" WHERE "air_date" = "august 30, 2008"
| 0.069336 |
CREATE TABLE table_name_88 (place VARCHAR2, player VARCHAR2)
|
What is Place, when Player is 'Arnold Palmer'?
|
SELECT place FROM table_name_88 WHERE player = "arnold palmer"
|
SELECT "place" FROM "table_name_88" WHERE "arnold palmer" = "player"
| 0.066406 |
CREATE TABLE table_67408 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
|
What Chassis has more than 0 points?
|
SELECT "Chassis" FROM table_67408 WHERE "Points" > '0'
|
SELECT "Chassis" FROM "table_67408" WHERE "Points" > '0'
| 0.054688 |
CREATE TABLE table_272 ("Series no." FLOAT, "Season no." FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production Code" FLOAT)
|
What is the series number for the title 'Bad Influence
|
SELECT MAX("Series no.") FROM table_272 WHERE "Title" = 'Bad Influence'
|
SELECT MAX("Series no.") FROM "table_272" WHERE "Title" = 'Bad Influence'
| 0.071289 |
CREATE TABLE table_33853 ("Celebrity" CLOB, "Famous for" CLOB, "Entered" CLOB, "Exited" CLOB, "Finished" CLOB)
|
What place did the celebrity who is famous for being an athlete finish?
|
SELECT "Finished" FROM table_33853 WHERE "Famous for" = 'athlete'
|
SELECT "Finished" FROM "table_33853" WHERE "Famous for" = 'athlete'
| 0.06543 |
CREATE TABLE table_16536 ("Episode Titles" CLOB, "First air date" CLOB, "Reward" CLOB, "Immunity" CLOB, "Exiled" CLOB, "Eliminated" CLOB, "Vote" CLOB, "Finish" CLOB)
|
What were the results of episodes with the first air date of March 6, 2008?
|
SELECT "Finish" FROM table_16536 WHERE "First air date" = 'March 6, 2008'
|
SELECT "Finish" FROM "table_16536" WHERE "First air date" = 'March 6, 2008'
| 0.073242 |
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
|
i need a flight from BOSTON to DENVER
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DENVER'
| 0.480469 |
CREATE TABLE Ref_Company_Types (company_type_code VARCHAR2)
CREATE TABLE Maintenance_Contracts (maintenance_contract_company_id VARCHAR2, contract_end_date VARCHAR2)
CREATE TABLE Third_Party_Companies (company_name VARCHAR2, company_id VARCHAR2, company_type_code VARCHAR2)
|
What is the description of the type of the company who concluded its contracts most recently?
|
SELECT T1.company_name FROM Third_Party_Companies AS T1 JOIN Maintenance_Contracts AS T2 ON T1.company_id = T2.maintenance_contract_company_id JOIN Ref_Company_Types AS T3 ON T1.company_type_code = T3.company_type_code ORDER BY T2.contract_end_date DESC LIMIT 1
|
SELECT "T1"."company_name" FROM "Third_Party_Companies" "T1" JOIN "Maintenance_Contracts" "T2" ON "T1"."company_id" = "T2"."maintenance_contract_company_id" JOIN "Ref_Company_Types" "T3" ON "T1"."company_type_code" = "T3"."company_type_code" ORDER BY "T2"."contract_end_date" DESC FETCH FIRST 1 ROWS ONLY
| 0.296875 |
CREATE TABLE table_2343 ("English title" CLOB, "Russian title" CLOB, "Published in Russian" CLOB, "Published in English" CLOB, "Type of work" CLOB)
|
How many types of work is ?
|
SELECT COUNT("Type of work") FROM table_2343 WHERE "Russian title" = 'Хромая судьба'
|
SELECT COUNT("Type of work") FROM "table_2343" WHERE "Russian title" = 'Хромая судьба'
| 0.083984 |
CREATE TABLE table_79155 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( \\u00a3 ) " FLOAT)
|
What is Lee Westwood's score?
|
SELECT "Score" FROM table_79155 WHERE "Player" = 'lee westwood'
|
SELECT "Score" FROM "table_79155" WHERE "Player" = 'lee westwood'
| 0.063477 |
CREATE TABLE table_test_5 ("id" NUMBER, "systemic_lupus_erythematosus" BOOLEAN, "anemia" BOOLEAN, "gender" CLOB, "pregnancy_or_lactation" BOOLEAN, "serum_potassium" FLOAT, "hemoglobin_a1c_hba1c" FLOAT, "heart_disease" BOOLEAN, "renal_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "estimated_glomerular_filtration_rate_egfr" NUMBER, "chronic_inflammatory_disease" BOOLEAN, "global_lvef" NUMBER, "rheumatoid_arthritis" BOOLEAN, "liver_disease" BOOLEAN, "serum_creatinine" FLOAT, "kidney_disease" BOOLEAN, "lung_disease" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
|
severe anemia
|
SELECT * FROM table_test_5 WHERE anemia = 1
|
SELECT * FROM "table_test_5" WHERE "anemia" = 1
| 0.045898 |
CREATE TABLE table_42849 ("Year" FLOAT, "Chassis" CLOB, "Engine" CLOB, "Start" FLOAT, "Finish" FLOAT, "Entrant" CLOB)
|
What is the lowest finish that has a start greater than 27, with a year after 1985?
|
SELECT MIN("Finish") FROM table_42849 WHERE "Start" > '27' AND "Year" > '1985'
|
SELECT MIN("Finish") FROM "table_42849" WHERE "Start" > '27' AND "Year" > '1985'
| 0.078125 |
CREATE TABLE table_33480 ("Season" FLOAT, "Coach" CLOB, "Record as played" CLOB, "Actual adjusted record" CLOB, "Regular season Vacated" CLOB)
|
How many seasons did coach steve fisher have?
|
SELECT COUNT("Season") FROM table_33480 WHERE "Coach" = 'steve fisher'
|
SELECT COUNT("Season") FROM "table_33480" WHERE "Coach" = 'steve fisher'
| 0.070313 |
CREATE TABLE table_63301 ("Municipality ( 2010 ) " CLOB, "White ( both Hispanic and Non-Hispanic ) " FLOAT, "Black ( Both Hispanic and Non-Hispanic ) " FLOAT, "Amerindian ( Both Hispanic and Non-Hispanic ) " FLOAT, "n Asia ( Both Hispanic and Non-Hispanic ) " FLOAT, "Multiracial ( Both Hispanic and Non-Hispanic ) " FLOAT, "Hispanic ( Of any Race ) " FLOAT)
|
What is the Black (Hispanic/Non-Hispanic) value having a white (Hispanic/Non-Hispanic) under 80.6, Asian (Hispanic/Non-Hispanic) of 0.1, Amerindian (Hispanic/Non-Hispanic) under 0.6000000000000001, and municipality of Vega Baja?
|
SELECT "Black (Both Hispanic and Non-Hispanic)" FROM table_63301 WHERE "White (both Hispanic and Non-Hispanic)" < '80.6' AND "n Asia (Both Hispanic and Non-Hispanic)" = '0.1' AND "Amerindian (Both Hispanic and Non-Hispanic)" < '0.6000000000000001' AND "Municipality (2010)" = 'vega baja'
|
SELECT "Black (Both Hispanic and Non-Hispanic)" FROM "table_63301" WHERE "Amerindian (Both Hispanic and Non-Hispanic)" < '0.6000000000000001' AND "Municipality (2010)" = 'vega baja' AND "White (both Hispanic and Non-Hispanic)" < '80.6' AND "n Asia (Both Hispanic and Non-Hispanic)" = '0.1'
| 0.282227 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
|
how many patients less than 85 years of age have bladder cancer/sda primary disease?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "BLADDER CANCER/SDA" AND demographic.age < "85"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "85" > "demographic"."age" AND "BLADDER CANCER/SDA" = "demographic"."diagnosis"
| 0.150391 |
CREATE TABLE table_204_170 (id NUMBER, "player" CLOB, "position" CLOB, "games\ started" CLOB, "hometown" CLOB, "height" CLOB, "weight" NUMBER, "age" NUMBER)
|
who weighed the most ?
|
SELECT "player" FROM table_204_170 ORDER BY "weight" DESC LIMIT 1
|
SELECT "player" FROM "table_204_170" ORDER BY "weight" DESC FETCH FIRST 1 ROWS ONLY
| 0.081055 |
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
|
For days besides Monday and Friday , what upper level electives are offered next semester ?
|
SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, program_course, semester WHERE course_offering.friday = 'N' AND course_offering.monday = 'N' AND course.course_id = course_offering.course_id AND program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id AND semester.semester = 'FA' AND semester.semester_id = course_offering.semester AND semester.year = 2016
|
SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."friday" = 'N' AND "course_offering"."monday" = 'N' JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016
| 0.488281 |
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
|
please list all the takeoffs and landings for MKE
|
SELECT DISTINCT flight.flight_id FROM airport AS AIRPORT_0, airport AS AIRPORT_1, flight WHERE (flight.to_airport = AIRPORT_0.airport_code AND AIRPORT_0.airport_code = 'MKE') OR (flight.from_airport = AIRPORT_1.airport_code AND AIRPORT_1.airport_code = 'MKE')
|
SELECT DISTINCT "flight"."flight_id" FROM "airport" "AIRPORT_0" JOIN "airport" "AIRPORT_1" ON "AIRPORT_0"."airport_code" = 'MKE' OR "AIRPORT_1"."airport_code" = 'MKE' JOIN "flight" ON ("AIRPORT_0"."airport_code" = "flight"."to_airport" OR "AIRPORT_1"."airport_code" = "flight"."from_airport") AND ("AIRPORT_0"."airport_code" = "flight"."to_airport" OR "AIRPORT_1"."airport_code" = 'MKE') AND ("AIRPORT_0"."airport_code" = 'MKE' OR "AIRPORT_1"."airport_code" = "flight"."from_airport")
| 0.472656 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
|
give me the number of patients whose age is less than 68 and lab test fluid is cerebrospinal fluid (csf)?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "68" AND lab.fluid = "Cerebrospinal Fluid (CSF)"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Cerebrospinal Fluid (CSF)" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "68" > "demographic"."age"
| 0.200195 |
CREATE TABLE table_name_5 (byes NUMBER, losses NUMBER)
|
Which Byes has a Losses smaller than 1?
|
SELECT MAX(byes) FROM table_name_5 WHERE losses < 1
|
SELECT MAX("byes") FROM "table_name_5" WHERE "losses" < 1
| 0.055664 |
CREATE TABLE table_44176 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
|
what is the country when the score is 68-72-67=207?
|
SELECT "Country" FROM table_44176 WHERE "Score" = '68-72-67=207'
|
SELECT "Country" FROM "table_44176" WHERE "Score" = '68-72-67=207'
| 0.064453 |
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
|
For all employees in the Finance department, compare the total number of different job id using a bar chart, and could you list by the bar in descending?
|
SELECT JOB_ID, COUNT(JOB_ID) FROM employees AS T1 JOIN departments AS T2 ON T1.DEPARTMENT_ID = T2.DEPARTMENT_ID WHERE T2.DEPARTMENT_NAME = 'Finance' GROUP BY JOB_ID ORDER BY JOB_ID DESC
|
SELECT "JOB_ID", COUNT("JOB_ID") FROM "employees" "T1" JOIN "departments" "T2" ON "T1"."DEPARTMENT_ID" = "T2"."DEPARTMENT_ID" AND "T2"."DEPARTMENT_NAME" = 'Finance' GROUP BY "JOB_ID" ORDER BY "JOB_ID" DESC
| 0.200195 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
|
how many patients having transfer from hosp/extram as the admission location were admitted before the year 2173?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND demographic.admityear < "2173"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2173" > "demographic"."admityear" AND "TRANSFER FROM HOSP/EXTRAM" = "demographic"."admission_location"
| 0.173828 |
CREATE TABLE table_name_84 (winner_2nd VARCHAR2, jockey VARCHAR2)
|
WHo is Winner/2nd that has c. symons?
|
SELECT winner_2nd FROM table_name_84 WHERE jockey = "c. symons"
|
SELECT "winner_2nd" FROM "table_name_84" WHERE "c. symons" = "jockey"
| 0.067383 |
CREATE TABLE table_17111812_1 (winner VARCHAR2, fifth VARCHAR2)
|
When dizzee rascal is 5th, who was the winner?
|
SELECT winner FROM table_17111812_1 WHERE fifth = "Dizzee Rascal"
|
SELECT "winner" FROM "table_17111812_1" WHERE "Dizzee Rascal" = "fifth"
| 0.069336 |
CREATE TABLE table_56086 ("Class" CLOB, "Wheels" CLOB, "Date" CLOB, "No. built" FLOAT, "Loco Nos." CLOB, "Comments" CLOB)
|
Which class at 55 built?
|
SELECT "Class" FROM table_56086 WHERE "No. built" = '55'
|
SELECT "Class" FROM "table_56086" WHERE "No. built" = '55'
| 0.056641 |
CREATE TABLE table_45555 ("Tournament" CLOB, "1988" CLOB, "1989" CLOB, "1990" CLOB, "1991" CLOB, "1992" CLOB, "1993" CLOB, "1994" CLOB, "1995" CLOB, "1996" CLOB, "1997" CLOB, "1998" CLOB, "1999" CLOB, "2000" CLOB, "2001" CLOB, "2002" CLOB, "2003" CLOB, "2004" CLOB, "Career SR" CLOB, "Career Win-Loss" CLOB)
|
What is 1990, when 1997 is '1R', and when Tournament is 'Hamburg'?
|
SELECT "1990" FROM table_45555 WHERE "1997" = '1r' AND "Tournament" = 'hamburg'
|
SELECT "1990" FROM "table_45555" WHERE "1997" = '1r' AND "Tournament" = 'hamburg'
| 0.079102 |
CREATE TABLE table_name_95 (home_team VARCHAR2, venue VARCHAR2)
|
What was the home score at the Princes Park game?
|
SELECT home_team AS score FROM table_name_95 WHERE venue = "princes park"
|
SELECT "home_team" AS "score" FROM "table_name_95" WHERE "princes park" = "venue"
| 0.079102 |
CREATE TABLE table_dev_26 ("id" NUMBER, "gender" CLOB, "hemoglobin_a1c_hba1c" FLOAT, "dyslipidemia" BOOLEAN, "body_weight" FLOAT, "hba1c" FLOAT, "body_mass_index_bmi" FLOAT, "hypertension" BOOLEAN, "NOUSE" FLOAT)
|
body mass index ( bmi ) of 25 to 35.5 kg / m2, and a total body weight > 50 kg ( 110 lbs ) .
|
SELECT * FROM table_dev_26 WHERE body_mass_index_bmi >= 25 AND body_mass_index_bmi <= 35.5 AND body_weight > 50
|
SELECT * FROM "table_dev_26" WHERE "body_mass_index_bmi" <= 35.5 AND "body_mass_index_bmi" >= 25 AND "body_weight" > 50
| 0.116211 |
CREATE TABLE table_name_61 (points VARCHAR2, lost VARCHAR2, division VARCHAR2, league_pos VARCHAR2)
|
What is the total number of points for the conference division, a league position of 9th, and a lost result less than 13?
|
SELECT COUNT(points) FROM table_name_61 WHERE division = "conference" AND league_pos = "9th" AND lost < 13
|
SELECT COUNT("points") FROM "table_name_61" WHERE "9th" = "league_pos" AND "conference" = "division" AND "lost" < 13
| 0.113281 |
CREATE TABLE table_10705060_1 (points VARCHAR2, position VARCHAR2)
|
What is the total for 10th position?
|
SELECT COUNT(points) FROM table_10705060_1 WHERE position = "10th"
|
SELECT COUNT("points") FROM "table_10705060_1" WHERE "10th" = "position"
| 0.070313 |
CREATE TABLE table_46101 ("Rank" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
|
What is the lowest Silver, when Bronze is 1, and when Total is less than 3?
|
SELECT MIN("Silver") FROM table_46101 WHERE "Bronze" = '1' AND "Total" < '3'
|
SELECT MIN("Silver") FROM "table_46101" WHERE "Bronze" = '1' AND "Total" < '3'
| 0.076172 |
CREATE TABLE table_79922 ("Name" CLOB, "Country" CLOB, "Status" CLOB, "Transfer window" CLOB, "Transfer fee" CLOB, "Source" CLOB)
|
What was the transfer fee for the summer transfer involving the SCO named Crainey?
|
SELECT "Transfer fee" FROM table_79922 WHERE "Transfer window" = 'summer' AND "Country" = 'sco' AND "Name" = 'crainey'
|
SELECT "Transfer fee" FROM "table_79922" WHERE "Country" = 'sco' AND "Name" = 'crainey' AND "Transfer window" = 'summer'
| 0.117188 |
CREATE TABLE table_name_72 (away_captain VARCHAR2, result VARCHAR2, venue VARCHAR2)
|
What is the Away captain when the Result was draw, and a Venue of lord's?
|
SELECT away_captain FROM table_name_72 WHERE result = "draw" AND venue = "lord's"
|
SELECT "away_captain" FROM "table_name_72" WHERE "draw" = "result" AND "lord's" = "venue"
| 0.086914 |
CREATE TABLE table_name_62 (score VARCHAR2, home VARCHAR2, leading_scorer VARCHAR2)
|
Which score has a Home of grizzlies, and a Leading scorer of rudy gay (18)?
|
SELECT score FROM table_name_62 WHERE home = "grizzlies" AND leading_scorer = "rudy gay (18)"
|
SELECT "score" FROM "table_name_62" WHERE "grizzlies" = "home" AND "leading_scorer" = "rudy gay (18)"
| 0.098633 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
|
Select the name of the products with a price less than or equal to $200, and count them by a bar chart, I want to list in asc by the bars.
|
SELECT Name, COUNT(Name) FROM Products WHERE Price <= 200 GROUP BY Name ORDER BY Name
|
SELECT "Name", COUNT("Name") FROM "Products" WHERE "Price" <= 200 GROUP BY "Name" ORDER BY "Name"
| 0.094727 |
CREATE TABLE table_33184 ("Positional or Automatic" CLOB, "Opponents" CLOB, "Suits" CLOB, "Material or Non-material" CLOB, "Count Rectified" CLOB)
|
What is the value for positional opponents with no material or non-material, and 3 suits?
|
SELECT "Opponents" FROM table_33184 WHERE "Positional or Automatic" = 'positional' AND "Material or Non-material" = 'no' AND "Suits" = '3'
|
SELECT "Opponents" FROM "table_33184" WHERE "Material or Non-material" = 'no' AND "Positional or Automatic" = 'positional' AND "Suits" = '3'
| 0.136719 |
CREATE TABLE news_report (journalist_ID NUMBER, Event_ID NUMBER, Work_Type CLOB)
CREATE TABLE event (Event_ID NUMBER, Date CLOB, Venue CLOB, Name CLOB, Event_Attendance NUMBER)
CREATE TABLE journalist (journalist_ID NUMBER, Name CLOB, Nationality CLOB, Age CLOB, Years_working NUMBER)
|
Visualize a bar chart, count and group by nationality from the journalist table, display by the total number in descending please.
|
SELECT Nationality, COUNT(Nationality) FROM journalist GROUP BY Nationality ORDER BY COUNT(Nationality) DESC
|
SELECT "Nationality", COUNT("Nationality") FROM "journalist" GROUP BY "Nationality" ORDER BY COUNT("Nationality") DESC
| 0.115234 |
CREATE TABLE table_name_54 (location VARCHAR2, classification VARCHAR2, institution VARCHAR2)
|
Where is NCAA division ii Franklin Pierce University located at?
|
SELECT location FROM table_name_54 WHERE classification = "ncaa division ii" AND institution = "franklin pierce university"
|
SELECT "location" FROM "table_name_54" WHERE "classification" = "ncaa division ii" AND "franklin pierce university" = "institution"
| 0.12793 |
CREATE TABLE table_25797 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
|
Who had the most rebounds in the game against the team with a 5-2 record against the Hawks?
|
SELECT "High rebounds" FROM table_25797 WHERE "Record" = '5-2'
|
SELECT "High rebounds" FROM "table_25797" WHERE "Record" = '5-2'
| 0.0625 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
|
Stack bar chart of school_id vs ACC_Home based on all home, rank total number from low to high order.
|
SELECT All_Home, School_ID FROM basketball_match GROUP BY ACC_Home, All_Home ORDER BY School_ID
|
SELECT "All_Home", "School_ID" FROM "basketball_match" GROUP BY "ACC_Home", "All_Home" ORDER BY "School_ID"
| 0.104492 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
|
provide me the top four most common diagnosis since 2101?
|
SELECT t1.diagnosisname FROM (SELECT diagnosis.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnosis WHERE STRFTIME('%y', diagnosis.diagnosistime) >= '2101' GROUP BY diagnosis.diagnosisname) AS t1 WHERE t1.c1 <= 4
|
WITH "t1" AS (SELECT "diagnosis"."diagnosisname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnosis" WHERE STRFTIME('%y', "diagnosis"."diagnosistime") >= '2101' GROUP BY "diagnosis"."diagnosisname") SELECT "t1"."diagnosisname" FROM "t1" "t1" WHERE "t1"."c1" <= 4
| 0.272461 |
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
|
Posts deleted by VoteType 4.
|
SELECT *, 'site://posts/' + CAST(PostId AS TEXT) + '/revisions' AS Link FROM Votes WHERE VoteTypeId = 4 ORDER BY Id DESC
|
SELECT *, CONCAT(CONCAT('site://posts/', CAST("PostId" AS CLOB)), '/revisions') AS "Link" FROM "Votes" WHERE "VoteTypeId" = 4 ORDER BY "Id" DESC
| 0.140625 |
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
|
Top 1000 stackoverflow reputation holders from india.
|
SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Id) LIKE '%kiran%' ORDER BY Reputation DESC LIMIT 1000
|
SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC) AS "#", "Id" AS "user_link", "Reputation" FROM "Users" WHERE LOWER("Id") LIKE '%kiran%' ORDER BY "Reputation" DESC FETCH FIRST 1000 ROWS ONLY
| 0.19043 |
CREATE TABLE flight (id VARCHAR2, airport_id VARCHAR2)
CREATE TABLE airport (id VARCHAR2, name VARCHAR2, IATA VARCHAR2)
|
What is the id, name and IATA code of the airport that had most number of flights?
|
SELECT T1.id, T1.name, T1.IATA FROM airport AS T1 JOIN flight AS T2 ON T1.id = T2.airport_id GROUP BY T2.id ORDER BY COUNT(*) DESC LIMIT 1
|
SELECT "T1"."id", "T1"."name", "T1"."IATA" FROM "airport" "T1" JOIN "flight" "T2" ON "T1"."id" = "T2"."airport_id" GROUP BY "T2"."id" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY
| 0.175781 |
CREATE TABLE table_26411 ("Season" CLOB, "Name" CLOB, "Teams" FLOAT, "Relegated to league" CLOB, "Promoted to league" CLOB, "Promoted from league" CLOB, "Relegated from league" CLOB)
|
Who was promoted to the league when Coventry was relegated to the league?
|
SELECT "Promoted to league" FROM table_26411 WHERE "Relegated to league" = 'Coventry'
|
SELECT "Promoted to league" FROM "table_26411" WHERE "Relegated to league" = 'Coventry'
| 0.084961 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
|
what was the average systemicmean on the last icu visit for patient 031-4987.
|
SELECT AVG(vitalperiodic.systemicmean) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-4987') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1) AND NOT vitalperiodic.systemicmean IS NULL
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-4987' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL AND NOT "patient"."unitdischargetime" IS NULL GROUP BY "patientunitstayid" ORDER BY "patient"."unitadmittime" DESC FETCH FIRST 1 ROWS ONLY) SELECT AVG("vitalperiodic"."systemicmean") FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."systemicmean" IS NULL
| 0.661133 |
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
|
how many times has patient 29806 been admitted to the icu since 2103?
|
SELECT COUNT(DISTINCT icustays.icustay_id) FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 29806) AND STRFTIME('%y', icustays.intime) >= '2103'
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 29806 GROUP BY "hadm_id") SELECT COUNT(DISTINCT "icustays"."icustay_id") FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y', "icustays"."intime") >= '2103'
| 0.316406 |
CREATE TABLE table_name_95 (crowd NUMBER, home_team VARCHAR2)
|
What size was the biggest crowd that watched the home team Hawthorn play?
|
SELECT MAX(crowd) FROM table_name_95 WHERE home_team = "hawthorn"
|
SELECT MAX("crowd") FROM "table_name_95" WHERE "hawthorn" = "home_team"
| 0.069336 |
CREATE TABLE table_name_45 (round VARCHAR2, time VARCHAR2)
|
Which round was 2:30?
|
SELECT round FROM table_name_45 WHERE time = "2:30"
|
SELECT "round" FROM "table_name_45" WHERE "2:30" = "time"
| 0.055664 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
|
For those records from the products and each product's manufacturer, give me the comparison about the sum of code over the founder , and group by attribute founder by a bar chart, and show Y in descending order.
|
SELECT T2.Founder, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Founder ORDER BY T1.Code DESC
|
SELECT "T2"."Founder", "T1"."Code" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Founder" ORDER BY "T1"."Code" DESC
| 0.164063 |
CREATE TABLE table_name_23 (partner VARCHAR2, year VARCHAR2)
|
What is the Partner during the Asian Games Year?
|
SELECT partner FROM table_name_23 WHERE year = "asian games"
|
SELECT "partner" FROM "table_name_23" WHERE "asian games" = "year"
| 0.064453 |
CREATE TABLE table_name_90 (tries_for NUMBER, points_for VARCHAR2, tries_against VARCHAR2)
|
What is the average tries for less than 117 points and less than 48 tries against?
|
SELECT AVG(tries_for) FROM table_name_90 WHERE points_for < 117 AND tries_against < 48
|
SELECT AVG("tries_for") FROM "table_name_90" WHERE "points_for" < 117 AND "tries_against" < 48
| 0.091797 |
CREATE TABLE Rating (rID NUMBER, mID NUMBER, stars NUMBER, ratingDate DATE)
CREATE TABLE Reviewer (rID NUMBER, name CLOB)
CREATE TABLE Movie (mID NUMBER, title CLOB, year NUMBER, director CLOB)
|
For each director, return the director's name together with the highest rating among all of their movies and ignore movies whose director is NULL. Could you plot the result with a pie chart?
|
SELECT director, MAX(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE director <> "null" GROUP BY director
|
SELECT "director", MAX("T1"."stars") FROM "Rating" "T1" JOIN "Movie" "T2" ON "T1"."mID" = "T2"."mID" WHERE "director" <> "null" GROUP BY "director"
| 0.143555 |
CREATE TABLE table_28505 ("Week #" CLOB, "Theme" CLOB, "Song choice" CLOB, "Original artist" CLOB, "Order #" CLOB, "Result" CLOB)
|
How many themes are there where the order # is 9?
|
SELECT COUNT("Theme") FROM table_28505 WHERE "Order #" = '9'
|
SELECT COUNT("Theme") FROM "table_28505" WHERE "Order #" = '9'
| 0.060547 |
CREATE TABLE table_75717 ("Week #" CLOB, "Theme" CLOB, "Original artist" CLOB, "Order #" CLOB, "Result" CLOB)
|
What is the order number that has Aretha Franklin as the original artist?
|
SELECT "Order #" FROM table_75717 WHERE "Original artist" = 'aretha franklin'
|
SELECT "Order #" FROM "table_75717" WHERE "Original artist" = 'aretha franklin'
| 0.077148 |
CREATE TABLE table_76851 ("Club" CLOB, "Played" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Tries for" CLOB, "Tries against" CLOB, "Try bonus" CLOB, "Losing bonus" CLOB, "Points" CLOB)
|
What is the name of the club when the played number is 22, and the try bonus was 0?
|
SELECT "Club" FROM table_76851 WHERE "Played" = '22' AND "Try bonus" = '0'
|
SELECT "Club" FROM "table_76851" WHERE "Played" = '22' AND "Try bonus" = '0'
| 0.074219 |
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
|
Users Min Reputation and Posts, but low Votes..
|
SELECT Users.Id AS "user_link", Reputation, UpVotes + DownVotes AS Votes, COUNT(Posts.Id) AS "posts_count" FROM Users INNER JOIN Posts ON Users.Id = Posts.OwnerUserId WHERE UpVotes + DownVotes <= @MaxVotes AND Reputation >= @MinRep GROUP BY Users.Id, Reputation, UpVotes, DownVotes HAVING COUNT(Posts.Id) >= @MinPostCount ORDER BY Reputation DESC
|
SELECT "Users"."Id" AS "user_link", "Reputation", "UpVotes" + "DownVotes" AS "Votes", COUNT("Posts"."Id") AS "posts_count" FROM "Users" JOIN "Posts" ON "Posts"."OwnerUserId" = "Users"."Id" WHERE "Reputation" >= @MinRep AND "UpVotes" + "DownVotes" <= @MaxVotes GROUP BY "Users"."Id", "Reputation", "UpVotes", "DownVotes" HAVING COUNT("Posts"."Id") >= @MinPostCount ORDER BY "Reputation" DESC
| 0.380859 |
CREATE TABLE cinema (cinema_id NUMBER, name CLOB, openning_year NUMBER, capacity NUMBER, location CLOB)
CREATE TABLE schedule (cinema_id NUMBER, film_id NUMBER, date CLOB, show_times_per_day NUMBER, price NUMBER)
CREATE TABLE film (film_id NUMBER, rank_in_series NUMBER, number_in_season NUMBER, title CLOB, directed_by CLOB, original_air_date CLOB, production_code CLOB)
|
Count the number of films whose title contains the word 'Dummy'.
|
SELECT COUNT(*) FROM film WHERE title LIKE "%Dummy%"
|
SELECT COUNT(*) FROM "film" WHERE "title" LIKE "%Dummy%"
| 0.054688 |
CREATE TABLE table_51090 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
|
What is Date, when Tie No is 'Replay', and when Away Team is 'Crystal Palace'?
|
SELECT "Date" FROM table_51090 WHERE "Tie no" = 'replay' AND "Away team" = 'crystal palace'
|
SELECT "Date" FROM "table_51090" WHERE "Away team" = 'crystal palace' AND "Tie no" = 'replay'
| 0.09082 |
CREATE TABLE table_29147 ("No. in total" CLOB, "No. in series" CLOB, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB)
|
What is the number in series of the episode titled 'beauty and the beast'?
|
SELECT "No. in series" FROM table_29147 WHERE "Title" = 'Beauty and the Beast'
|
SELECT "No. in series" FROM "table_29147" WHERE "Title" = 'Beauty and the Beast'
| 0.078125 |
CREATE TABLE table_48367 ("Seed" FLOAT, "Team" CLOB, "League" CLOB, "Notes" CLOB, "Eliminated at" CLOB)
|
What team with a seed value greater than 7 has a note that they were an NCRAA champion?
|
SELECT "Team" FROM table_48367 WHERE "Seed" > '7' AND "Notes" = 'ncraa champion'
|
SELECT "Team" FROM "table_48367" WHERE "Notes" = 'ncraa champion' AND "Seed" > '7'
| 0.080078 |
CREATE TABLE table_202_205 (id NUMBER, "year" CLOB, "title" CLOB, "role" CLOB, "notes" CLOB)
|
which year did he play the role of mac harper and also pat trammell ?
|
SELECT "year" FROM table_202_205 WHERE "role" = 'mac harper'
|
SELECT "year" FROM "table_202_205" WHERE "role" = 'mac harper'
| 0.060547 |
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
|
what were the three most common drugs that were prescribed to the female patients in their 40s in the same month after they had been diagnosed with food/vomit pneumonitis until 3 years ago?
|
SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'food/vomit pneumonitis') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-3 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.subject_id IN (SELECT patients.subject_id FROM patients WHERE patients.gender = 'f') AND admissions.age BETWEEN 40 AND 49 AND DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-3 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.startdate, 'start of month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 3
|
WITH "_u_1" AS (SELECT "patients"."subject_id" FROM "patients" WHERE "patients"."gender" = 'f' GROUP BY "subject_id"), "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."age" <= 49 AND "admissions"."age" >= 40 AND "admissions"."hadm_id" = "prescriptions"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "admissions"."subject_id" WHERE DATETIME("prescriptions"."startdate") <= DATETIME(CURRENT_TIME(), '-3 year') AND NOT "_u_1"."" IS NULL), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'food/vomit pneumonitis' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" AND DATETIME("diagnoses_icd"."charttime", 'start of month') = DATETIME("t2"."startdate", 'start of month') WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" "t3" WHERE "t3"."c1" <= 3
| 1.214844 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
|
what is patient 030-47098's average value of cortisol until 29 months ago?
|
SELECT AVG(lab.labresult) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-47098')) AND lab.labname = 'cortisol' AND DATETIME(lab.labresulttime) <= DATETIME(CURRENT_TIME(), '-29 month')
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '030-47098' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT AVG("lab"."labresult") FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'cortisol' AND DATETIME("lab"."labresulttime") <= DATETIME(CURRENT_TIME(), '-29 month') AND NOT "_u_1"."" IS NULL
| 0.583984 |
CREATE TABLE people (People_ID NUMBER, Sex CLOB, Name CLOB, Date_of_Birth CLOB, Height FLOAT, Weight FLOAT)
CREATE TABLE candidate (Candidate_ID NUMBER, People_ID NUMBER, Poll_Source CLOB, Date CLOB, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
|
Visualize a bar chart about the distribution of Name and Weight , and rank by the y axis from low to high.
|
SELECT Name, Weight FROM people ORDER BY Weight
|
SELECT "Name", "Weight" FROM "people" ORDER BY "Weight"
| 0.053711 |
CREATE TABLE table_64739 ("Year" FLOAT, "Competition" CLOB, "Venue" CLOB, "Position" CLOB, "Event" CLOB)
|
Which Venue has a Year smaller than 2009, and an Event of 3000 m, and a Competition of world youth championships?
|
SELECT "Venue" FROM table_64739 WHERE "Year" < '2009' AND "Event" = '3000 m' AND "Competition" = 'world youth championships'
|
SELECT "Venue" FROM "table_64739" WHERE "Competition" = 'world youth championships' AND "Event" = '3000 m' AND "Year" < '2009'
| 0.123047 |
CREATE TABLE table_name_55 (time VARCHAR2, rank VARCHAR2, debut_year VARCHAR2)
|
What is the all-time rank associated with a rank less than 9 and a debut in 1994?
|
SELECT -time AS rank FROM table_name_55 WHERE rank < 9 AND debut_year = 1994
|
SELECT -"time" AS "rank" FROM "table_name_55" WHERE "debut_year" = 1994 AND "rank" < 9
| 0.083984 |
CREATE TABLE table_name_16 (result VARCHAR2, week VARCHAR2, date VARCHAR2)
|
what is the result for the week higher than 7 on november 4, 1979?
|
SELECT result FROM table_name_16 WHERE week > 7 AND date = "november 4, 1979"
|
SELECT "result" FROM "table_name_16" WHERE "date" = "november 4, 1979" AND "week" > 7
| 0.083008 |
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
|
User Stats for Voting: Upvotes, Downvotes, Reputation & TotalPosts.
|
SELECT u.Id, u.Reputation, u.DisplayName, u.UpVotes, u.DownVotes, Q.TotalQs, A.TotalAs FROM Users AS u LEFT JOIN (SELECT COUNT(OwnerUserId) AS TotalQs, OwnerUserId FROM Posts WHERE PostTypeId = 1 GROUP BY OwnerUserId) AS Q ON u.Id = Q.OwnerUserId LEFT JOIN (SELECT COUNT(OwnerUserId) AS TotalAs, OwnerUserId FROM Posts WHERE PostTypeId = 2 GROUP BY OwnerUserId) AS A ON u.Id = A.OwnerUserId WHERE u.Id IN ('##UserId##')
|
WITH "A" AS (SELECT COUNT("OwnerUserId") AS "TotalAs", "OwnerUserId" FROM "Posts" WHERE "PostTypeId" = 2 GROUP BY "OwnerUserId"), "Q" AS (SELECT COUNT("OwnerUserId") AS "TotalQs", "OwnerUserId" FROM "Posts" WHERE "PostTypeId" = 1 GROUP BY "OwnerUserId") SELECT "u"."Id", "u"."Reputation", "u"."DisplayName", "u"."UpVotes", "u"."DownVotes", "Q"."TotalQs", "A"."TotalAs" FROM "Users" "u" LEFT JOIN "A" "A" ON "A"."OwnerUserId" = "u"."Id" LEFT JOIN "Q" "Q" ON "Q"."OwnerUserId" = "u"."Id" WHERE "u"."Id" IN ('##UserId##')
| 0.505859 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
|
when did patient 030-80604 since 2104 get discharged from the hospital for the last time?
|
SELECT patient.hospitaldischargetime FROM patient WHERE patient.uniquepid = '030-80604' AND STRFTIME('%y', patient.hospitaldischargetime) >= '2104' ORDER BY patient.hospitaldischargetime DESC LIMIT 1
|
SELECT "patient"."hospitaldischargetime" FROM "patient" WHERE "patient"."uniquepid" = '030-80604' AND STRFTIME('%y', "patient"."hospitaldischargetime") >= '2104' ORDER BY "patient"."hospitaldischargetime" DESC FETCH FIRST 1 ROWS ONLY
| 0.227539 |
CREATE TABLE student (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, tot_cred NUMBER)
CREATE TABLE section (course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, building VARCHAR2, room_number VARCHAR2, time_slot_id VARCHAR2)
CREATE TABLE instructor (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, salary NUMBER)
CREATE TABLE department (dept_name VARCHAR2, building VARCHAR2, budget NUMBER)
CREATE TABLE teaches (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER)
CREATE TABLE takes (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, grade VARCHAR2)
CREATE TABLE course (course_id VARCHAR2, title VARCHAR2, dept_name VARCHAR2, credits NUMBER)
CREATE TABLE classroom (building VARCHAR2, room_number VARCHAR2, capacity NUMBER)
CREATE TABLE time_slot (time_slot_id VARCHAR2, day VARCHAR2, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE advisor (s_ID VARCHAR2, i_ID VARCHAR2)
CREATE TABLE prereq (course_id VARCHAR2, prereq_id VARCHAR2)
|
How many courses have two prerequisites? Show me a bar chart grouping by title.
|
SELECT title, COUNT(title) FROM course AS T1 JOIN prereq AS T2 ON T1.course_id = T2.course_id GROUP BY title
|
SELECT "title", COUNT("title") FROM "course" "T1" JOIN "prereq" "T2" ON "T1"."course_id" = "T2"."course_id" GROUP BY "title"
| 0.121094 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
|
give me the number of patients whose death status is 1 and diagnoses long title is acute venous embolism and thrombosis of deep vessels of proximal lower extremity?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "1" AND diagnoses.long_title = "Acute venous embolism and thrombosis of deep vessels of proximal lower extremity"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Acute venous embolism and thrombosis of deep vessels of proximal lower extremity" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "1" = "demographic"."expire_flag"
| 0.283203 |
CREATE TABLE table_35246 ("Distance" CLOB, "Event" CLOB, "Record" CLOB, "Nationality" CLOB, "Year" FLOAT, "Location" CLOB)
|
Which nationality's distance was 500m before 2012, when the record was 1:37.071s?
|
SELECT "Nationality" FROM table_35246 WHERE "Distance" = '500m' AND "Year" < '2012' AND "Record" = '1:37.071s'
|
SELECT "Nationality" FROM "table_35246" WHERE "Distance" = '500m' AND "Record" = '1:37.071s' AND "Year" < '2012'
| 0.109375 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.