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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
# cython: profile=False
# distutils: language = c++
from cython.operator cimport dereference as deref
from libcpp.vector cimport vector as std_vector
from libcpp.utility cimport move
from pyarrow.includes.common cimport *
from pyarrow.includes.libarrow cimport *
from pyarrow.lib cimport (check_status, _Weakrefable,
MemoryPool, maybe_unbox_memory_pool,
pyarrow_wrap_schema,
pyarrow_wrap_batch,
Table,
pyarrow_wrap_table,
pyarrow_wrap_metadata,
pyarrow_unwrap_table,
get_reader,
get_writer)
from pyarrow.lib import frombytes, tobytes
from pyarrow.util import _stringify_path
cdef compression_type_from_enum(CCompressionType compression_type):
compression_map = {
CCompressionType_UNCOMPRESSED: 'UNCOMPRESSED',
CCompressionType_GZIP: 'ZLIB',
CCompressionType_SNAPPY: 'SNAPPY',
CCompressionType_LZ4: 'LZ4',
CCompressionType_ZSTD: 'ZSTD',
}
if compression_type in compression_map:
return compression_map[compression_type]
raise ValueError('Unsupported compression')
cdef CCompressionType compression_type_from_name(name) except *:
if not isinstance(name, str):
raise TypeError('compression must be a string')
name = name.upper()
if name == 'ZLIB':
return CCompressionType_GZIP
elif name == 'SNAPPY':
return CCompressionType_SNAPPY
elif name == 'LZ4':
return CCompressionType_LZ4
elif name == 'ZSTD':
return CCompressionType_ZSTD
elif name == 'UNCOMPRESSED':
return CCompressionType_UNCOMPRESSED
raise ValueError(f'Unknown CompressionKind: {name}')
cdef compression_strategy_from_enum(
CompressionStrategy compression_strategy
):
compression_strategy_map = {
_CompressionStrategy_SPEED: 'SPEED',
_CompressionStrategy_COMPRESSION: 'COMPRESSION',
}
if compression_strategy in compression_strategy_map:
return compression_strategy_map[compression_strategy]
raise ValueError('Unsupported compression strategy')
cdef CompressionStrategy compression_strategy_from_name(name) except *:
if not isinstance(name, str):
raise TypeError('compression strategy must be a string')
name = name.upper()
if name == 'COMPRESSION':
return _CompressionStrategy_COMPRESSION
elif name == 'SPEED':
return _CompressionStrategy_SPEED
raise ValueError(f'Unknown CompressionStrategy: {name}')
cdef file_version_from_class(FileVersion file_version):
return frombytes(file_version.ToString())
cdef writer_id_from_enum(WriterId writer_id):
writer_id_map = {
_WriterId_ORC_JAVA_WRITER: 'ORC_JAVA',
_WriterId_ORC_CPP_WRITER: 'ORC_CPP',
_WriterId_PRESTO_WRITER: 'PRESTO',
_WriterId_SCRITCHLEY_GO: 'SCRITCHLEY_GO',
_WriterId_TRINO_WRITER: 'TRINO',
}
if writer_id in writer_id_map:
return writer_id_map[writer_id]
raise ValueError('Unsupported writer ID')
cdef writer_version_from_enum(WriterVersion writer_version):
writer_version_map = {
_WriterVersion_ORIGINAL: 'ORIGINAL',
_WriterVersion_HIVE_8732: 'HIVE_8732',
_WriterVersion_HIVE_4243: 'HIVE_4243',
_WriterVersion_HIVE_12055: 'HIVE_12055',
_WriterVersion_HIVE_13083: 'HIVE_13083',
_WriterVersion_ORC_101: 'ORC_101',
_WriterVersion_ORC_135: 'ORC_135',
_WriterVersion_ORC_517: 'ORC_517',
_WriterVersion_ORC_203: 'ORC_203',
_WriterVersion_ORC_14: 'ORC_14',
}
if writer_version in writer_version_map:
return writer_version_map[writer_version]
raise ValueError('Unsupported writer version')
cdef shared_ptr[WriteOptions] _create_write_options(
file_version=None,
batch_size=None,
stripe_size=None,
compression=None,
compression_block_size=None,
compression_strategy=None,
row_index_stride=None,
padding_tolerance=None,
dictionary_key_size_threshold=None,
bloom_filter_columns=None,
bloom_filter_fpp=None
) except *:
"""General writer options"""
cdef:
shared_ptr[WriteOptions] options
options = make_shared[WriteOptions]()
# batch_size
if batch_size is not None:
if isinstance(batch_size, int) and batch_size > 0:
deref(options).batch_size = batch_size
else:
raise ValueError(f"Invalid ORC writer batch size: {batch_size}")
# file_version
if file_version is not None:
if file_version == "0.12":
deref(options).file_version = FileVersion(0, 12)
elif file_version == "0.11":
deref(options).file_version = FileVersion(0, 11)
else:
raise ValueError(f"Unsupported ORC file version: {file_version}")
# stripe_size
if stripe_size is not None:
if isinstance(stripe_size, int) and stripe_size > 0:
deref(options).stripe_size = stripe_size
else:
raise ValueError(f"Invalid ORC stripe size: {stripe_size}")
# compression
if compression is not None:
if isinstance(compression, str):
deref(options).compression = compression_type_from_name(
compression)
else:
raise TypeError("Unsupported ORC compression type: "
f"{compression}")
# compression_block_size
if compression_block_size is not None:
if (isinstance(compression_block_size, int) and
compression_block_size > 0):
deref(options).compression_block_size = compression_block_size
else:
raise ValueError("Invalid ORC compression block size: "
f"{compression_block_size}")
# compression_strategy
if compression_strategy is not None:
if isinstance(compression, str):
deref(options).compression_strategy = \
compression_strategy_from_name(compression_strategy)
else:
raise TypeError("Unsupported ORC compression strategy: "
f"{compression_strategy}")
# row_index_stride
if row_index_stride is not None:
if isinstance(row_index_stride, int) and row_index_stride > 0:
deref(options).row_index_stride = row_index_stride
else:
raise ValueError("Invalid ORC row index stride: "
f"{row_index_stride}")
# padding_tolerance
if padding_tolerance is not None:
try:
padding_tolerance = float(padding_tolerance)
deref(options).padding_tolerance = padding_tolerance
except Exception:
raise ValueError("Invalid ORC padding tolerance: "
f"{padding_tolerance}")
# dictionary_key_size_threshold
if dictionary_key_size_threshold is not None:
try:
dictionary_key_size_threshold = float(
dictionary_key_size_threshold)
assert 0 <= dictionary_key_size_threshold <= 1
deref(options).dictionary_key_size_threshold = \
dictionary_key_size_threshold
except Exception:
raise ValueError("Invalid ORC dictionary key size threshold: "
f"{dictionary_key_size_threshold}")
# bloom_filter_columns
if bloom_filter_columns is not None:
try:
bloom_filter_columns = list(bloom_filter_columns)
for col in bloom_filter_columns:
assert isinstance(col, int) and col >= 0
deref(options).bloom_filter_columns = bloom_filter_columns
except Exception:
raise ValueError("Invalid ORC BloomFilter columns: "
f"{bloom_filter_columns}")
# Max false positive rate of the Bloom Filter
if bloom_filter_fpp is not None:
try:
bloom_filter_fpp = float(bloom_filter_fpp)
assert 0 <= bloom_filter_fpp <= 1
deref(options).bloom_filter_fpp = bloom_filter_fpp
except Exception:
raise ValueError("Invalid ORC BloomFilter false positive rate: "
f"{bloom_filter_fpp}")
return options
cdef class ORCReader(_Weakrefable):
cdef:
object source
CMemoryPool* allocator
unique_ptr[ORCFileReader] reader
def __cinit__(self, MemoryPool memory_pool=None):
self.allocator = maybe_unbox_memory_pool(memory_pool)
def open(self, object source, c_bool use_memory_map=True):
cdef:
shared_ptr[CRandomAccessFile] rd_handle
self.source = source
get_reader(source, use_memory_map, &rd_handle)
with nogil:
self.reader = move(GetResultValue(
ORCFileReader.Open(rd_handle, self.allocator)
))
def metadata(self):
"""
The arrow metadata for this file.
Returns
-------
metadata : pyarrow.KeyValueMetadata
"""
cdef:
shared_ptr[const CKeyValueMetadata] sp_arrow_metadata
with nogil:
sp_arrow_metadata = GetResultValue(
deref(self.reader).ReadMetadata()
)
return pyarrow_wrap_metadata(sp_arrow_metadata)
def schema(self):
"""
The arrow schema for this file.
Returns
-------
schema : pyarrow.Schema
"""
cdef:
shared_ptr[CSchema] sp_arrow_schema
with nogil:
sp_arrow_schema = GetResultValue(deref(self.reader).ReadSchema())
return pyarrow_wrap_schema(sp_arrow_schema)
def nrows(self):
return deref(self.reader).NumberOfRows()
def nstripes(self):
return deref(self.reader).NumberOfStripes()
def file_version(self):
return file_version_from_class(deref(self.reader).GetFileVersion())
def software_version(self):
return frombytes(deref(self.reader).GetSoftwareVersion())
def compression(self):
return compression_type_from_enum(
GetResultValue(deref(self.reader).GetCompression()))
def compression_size(self):
return deref(self.reader).GetCompressionSize()
def row_index_stride(self):
return deref(self.reader).GetRowIndexStride()
def writer(self):
writer_name = writer_id_from_enum(deref(self.reader).GetWriterId())
if writer_name == 'UNKNOWN':
return deref(self.reader).GetWriterIdValue()
else:
return writer_name
def writer_version(self):
return writer_version_from_enum(deref(self.reader).GetWriterVersion())
def nstripe_statistics(self):
return deref(self.reader).GetNumberOfStripeStatistics()
def content_length(self):
return deref(self.reader).GetContentLength()
def stripe_statistics_length(self):
return deref(self.reader).GetStripeStatisticsLength()
def file_footer_length(self):
return deref(self.reader).GetFileFooterLength()
def file_postscript_length(self):
return deref(self.reader).GetFilePostscriptLength()
def file_length(self):
return deref(self.reader).GetFileLength()
def serialized_file_tail(self):
return deref(self.reader).GetSerializedFileTail()
def read_stripe(self, n, columns=None):
cdef:
shared_ptr[CRecordBatch] sp_record_batch
int64_t stripe
std_vector[c_string] c_names
stripe = n
if columns is None:
with nogil:
sp_record_batch = GetResultValue(
deref(self.reader).ReadStripe(stripe)
)
else:
c_names = [tobytes(name) for name in columns]
with nogil:
sp_record_batch = GetResultValue(
deref(self.reader).ReadStripe(stripe, c_names)
)
return pyarrow_wrap_batch(sp_record_batch)
def read(self, columns=None):
cdef:
shared_ptr[CTable] sp_table
std_vector[c_string] c_names
if columns is None:
with nogil:
sp_table = GetResultValue(deref(self.reader).Read())
else:
c_names = [tobytes(name) for name in columns]
with nogil:
sp_table = GetResultValue(deref(self.reader).Read(c_names))
return pyarrow_wrap_table(sp_table)
cdef class ORCWriter(_Weakrefable):
cdef:
unique_ptr[ORCFileWriter] writer
shared_ptr[COutputStream] sink
c_bool own_sink
def open(self, object where, *,
file_version=None,
batch_size=None,
stripe_size=None,
compression=None,
compression_block_size=None,
compression_strategy=None,
row_index_stride=None,
padding_tolerance=None,
dictionary_key_size_threshold=None,
bloom_filter_columns=None,
bloom_filter_fpp=None):
cdef:
shared_ptr[WriteOptions] write_options
c_string c_where
try:
where = _stringify_path(where)
except TypeError:
get_writer(where, &self.sink)
self.own_sink = False
else:
c_where = tobytes(where)
with nogil:
self.sink = GetResultValue(FileOutputStream.Open(c_where))
self.own_sink = True
write_options = _create_write_options(
file_version=file_version,
batch_size=batch_size,
stripe_size=stripe_size,
compression=compression,
compression_block_size=compression_block_size,
compression_strategy=compression_strategy,
row_index_stride=row_index_stride,
padding_tolerance=padding_tolerance,
dictionary_key_size_threshold=dictionary_key_size_threshold,
bloom_filter_columns=bloom_filter_columns,
bloom_filter_fpp=bloom_filter_fpp
)
with nogil:
self.writer = move(GetResultValue(
ORCFileWriter.Open(self.sink.get(),
deref(write_options))))
def write(self, Table table):
cdef:
shared_ptr[CTable] sp_table
sp_table = pyarrow_unwrap_table(table)
with nogil:
check_status(deref(self.writer).Write(deref(sp_table)))
def close(self):
with nogil:
check_status(deref(self.writer).Close())
if self.own_sink:
check_status(deref(self.sink).Close())
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