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arrow-nightlies / pyarrow python
Repository URL to install this package:
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Version:
21.0.0.dev45 ▾
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pyarrow
/
_dataset_parquet.cpython-39-darwin.so
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¹ é»# îÍ »³# É©" Û(" ì ï³# "Ñ ã[»# ¾ È »# ï! Æ 5»# ¡ ô! + Ø ,»# Æ ÿ è_ _ Dataset support for Parquet file format. name pyarrow._dataset_parquet pyarrow/_dataset_parquet.pyx <stringsource> __reduce__ __module__ __doc__ __name__ __qualname__ __dict__ _is_coroutine {0} out of bounds 1.0 2.6
A wrapper class for RowGroup information
Parameters
----------
id : integer
The group ID.
metadata : FileMetaData
The rowgroup metadata.
schema : Schema
Schema of the rows.
Buffer size must be larger than zero Cannot specify both 'filter' and 'row_group_ids'. Encryption is not enabled in your installation of pyarrow, but an encryption_config was provided. Encryption is not enabled in your installation of pyarrow, but decryption_properties were provided. Encryption is not enabled in your installation of pyarrow, but a decryption_config was provided. If `default_fragment_scan_options` is given, cannot specify If `read_options` is given, cannot specify ImportError Incompatible checksums (0x%x vs (0x5c51178, 0xb7978a9, 0xe41b4cf) = (_coerce_int96_timestamp_unit, dictionary_columns)) IndexError MemoryError Need to specify one of 'filter' or 'row_group_ids' NotImplementedError ParquetDatasetFactory ParquetDatasetFactory.__reduce_cython__ ParquetDatasetFactory.__setstate_cython__ ParquetFactoryOptions ParquetFactoryOptions.__reduce_cython__ ParquetFactoryOptions.__setstate_cython__ ParquetFileFormat ParquetFileFormat.__reduce__ ParquetFileFormat.equals ParquetFileFormat.make_fragment ParquetFileFormat.make_write_options <ParquetFileFormat read_options= ParquetFileFragment ParquetFileFragment.__reduce__ ParquetFileFragment.ensure_complete_metadata ParquetFileFragment.split_by_row_group ParquetFileFragment.subset ParquetFileWriteOptions ParquetFileWriteOptions.__reduce_cython__ ParquetFileWriteOptions.__setstate_cython__ ParquetFileWriteOptions._set_arrow_properties ParquetFileWriteOptions._set_encryption_config ParquetFileWriteOptions._set_properties ParquetFileWriteOptions.update ParquetFragmentScanOptions ParquetFragmentScanOptions.__reduce__ ParquetFragmentScanOptions._reconstruct ParquetFragmentScanOptions.equals ParquetReadOptions ParquetReadOptions.__reduce_cython__ ParquetReadOptions.__setstate_cython__ <ParquetReadOptions dictionary_columns= ParquetReadOptions.equals PickleError RowGroupInfo({}) RowGroupInfo RowGroupInfo.__eq__ RowGroupInfo.__init__ RowGroupInfo.__repr__ RowGroupInfo.num_rows RowGroupInfo.statistics RowGroupInfo.statistics.<locals>.name_stats RowGroupInfo.total_byte_size RuntimeError The scan options Time zones are not available from the C-API. TypeError Unable to access encryption features. Encryption is not enabled in your installation of pyarrow. V2 ValueError = , . * > ? allow_truncated_timestamps append arrow_fields as_py asyncio.coroutines attrs buffer c_filter c_fragment c_fragments c_row_group_ids c_row_groups c_source cline_in_traceback coerce_int96_timestamp_unit= coerce_timestamps col column column_encoding compression compression_level data_page_size data_page_version decryption_config default_fragment_scan_options `default_fragment_scan_options` must be either a dictionary or an instance of ParquetFragmentScanOptions _dict dictionary_pagesize_limit disable enable encryption_config encryption_properties field field_index file file_size frombytes gc get_field_index __getstate__ has_min_max i id __import__ __init_subclass__ _initializing is_threading_enabled isenabled kwargs __main__ make_write_options() should be called on an instance of ParquetFileFormat map max __metaclass__ metadata_path min __new__ num_columns opts os other_attrs pa parquet parquet_encryption_enabled path path_in_schema physical_schema pickle __prepare__ property pyarrow pyarrow._dataset_parquet_encryption <pyarrow.dataset.ParquetFileWriteOptions {0}> __pyx_PickleError __pyx_checksum __pyx_result __pyx_state __pyx_type __pyx_vtable__ range `read_options` must be either a dictionary or an instance of ParquetReadOptions __reduce_ex__ relpath row_group row_group_ids scalar _scalar self.c_options,self.parquet_options,self.wrapped cannot be converted to a Python object for pickling self.factory,self.parquet_factory,self.wrapped cannot be converted to a Python object for pickling self.options cannot be converted to a Python object for pickling set_decryption_config set_decryption_properties _set_default_fragment_scan_options set_encryption_config set_file_path __set_name__ __setstate__ setter setters should be specified directly as keyword arguments size must be larger than zero __slots__ snappy sorting_columns __spec__ state staticmethod stats store_decimal_as_integer super __test__ tobytes typ type_name unexpected parquet write option: use_byte_stream_split use_compliant_nested_type use_deprecated_int96_timestamps use_dictionary use_setstate version warn warnings write_batch_size write_page_checksum write_page_index write_statistics pyarrow.lib equals ParquetFragmentScanOptions.equals(self, ParquetFragmentScanOptions other)
Parameters
----------
other : pyarrow.dataset.ParquetFragmentScanOptions
Returns
-------
bool
_reconstruct ParquetFragmentScanOptions._reconstruct(kwargs) ParquetFragmentScanOptions.__reduce__(self) other use_buffered_stream buffer_size pre_buffer cache_options thrift_string_size_limit thrift_container_size_limit decryption_properties parquet_decryption_config page_checksum_verification arrow_extensions_enabled options __init__ NSt3__120__shared_ptr_pointerIPN5arrow7dataset26ParquetFragmentScanOptionsENS_10shared_ptrINS2_19FragmentScanOptionsEE27__shared_ptr_default_deleteIS6_S3_EENS_9allocatorIS3_EEEE NSt3__110shared_ptrIN5arrow7dataset19FragmentScanOptionsEE27__shared_ptr_default_deleteIS3_NS2_26ParquetFragmentScanOptionsEEE items update ParquetFileWriteOptions.update(self, **kwargs)
Parameters
----------
**kwargs : dict
_set_properties ParquetFileWriteOptions._set_properties(self) _set_arrow_properties ParquetFileWriteOptions._set_arrow_properties(self) _set_encryption_config ParquetFileWriteOptions._set_encryption_config(self) __repr__ __reduce_cython__ ParquetFileWriteOptions.__reduce_cython__(self) __setstate_cython__ ParquetFileWriteOptions.__setstate_cython__(self, __pyx_state) make_write_options ParquetFileFormat.make_write_options(self, **kwargs)
Parameters
----------
**kwargs : dict
Returns
-------
pyarrow.dataset.FileWriteOptions
ParquetFileFormat.equals(self, ParquetFileFormat other)
Parameters
----------
other : pyarrow.dataset.ParquetFileFormat
Returns
-------
bool
ParquetFileFormat.__reduce__(self) make_fragment ParquetFileFormat.make_fragment(self, file, filesystem=None, Expression partition_expression=None, row_groups=None, *, file_size=None)
Make a FileFragment from a given file.
Parameters
----------
file : file-like object, path-like or str
The file or file path to make a fragment from.
filesystem : Filesystem, optional
If `filesystem` is given, `file` must be a string and specifies
the path of the file to read from the filesystem.
partition_expression : Expression, optional
An expression that is guaranteed true for all rows in the fragment. Allows
fragment to be potentially skipped while scanning with a filter.
row_groups : Iterable, optional
The indices of the row groups to include
file_size : int, optional
The size of the file in bytes. Can improve performance with high-latency filesystems
when file size needs to be known before reading.
Returns
-------
fragment : Fragment
The file fragment
partition_expression NSt3__110__function6__funcIPFN5arrow6ResultINS_10shared_ptrINS2_2io16RandomAccessFileEEEEEvENS_9allocatorISA_EES9_EE NSt3__110__function6__baseIFN5arrow6ResultINS_10shared_ptrINS2_2io16RandomAccessFileEEEEEvEEE PFN5arrow6ResultINSt3__110shared_ptrINS_2io16RandomAccessFileEEEEEvE FN5arrow6ResultINSt3__110shared_ptrINS_2io16RandomAccessFileEEEEEvE read_options NSt3__120__shared_ptr_emplaceIN5arrow7dataset17ParquetFileFormatENS_9allocatorIS3_EEEE ParquetFileFragment.__reduce__(self) ensure_complete_metadata ParquetFileFragment.ensure_complete_metadata(self)
Ensure that all metadata (statistics, physical schema, ...) have
been read and cached in this fragment.
split_by_row_group ParquetFileFragment.split_by_row_group(self, Expression filter=None, Schema schema=None)
Split the fragment into multiple fragments.
Yield a Fragment wrapping each row group in this ParquetFileFragment.
Row groups will be excluded whose metadata contradicts the optional
filter.
Parameters
----------
filter : Expression, default None
Only include the row groups which satisfy this predicate (using
the Parquet RowGroup statistics).
schema : Schema, default None
Schema to use when filtering row groups. Defaults to the
Fragment's physical schema
Returns
-------
A list of Fragments
subset ParquetFileFragment.subset(self, Expression filter=None, Schema schema=None, row_group_ids=None)
Create a subset of the fragment (viewing a subset of the row groups).
Subset can be specified by either a filter predicate (with optional
schema) or by a list of row group IDs. Note that when using a filter,
the resulting fragment can be empty (viewing no row groups).
Parameters
----------
filter : Expression, default None
Only include the row groups which satisfy this predicate (using
the Parquet RowGroup statistics).
schema : Schema, default None
Schema to use when filtering row groups. Defaults to the
Fragment's physical schema
row_group_ids : list of ints
The row group IDs to include in the subset. Can only be specified
if `filter` is None.
Returns
-------
ParquetFileFragment
filter schema row_groups metadata num_row_groups ParquetReadOptions.equals(self, ParquetReadOptions other)
Parameters
----------
other : pyarrow.dataset.ParquetReadOptions
Returns
-------
bool
ParquetReadOptions.__reduce_cython__(self) ParquetReadOptions.__setstate_cython__(self, __pyx_state) coerce_int96_timestamp_unit dictionary_columns _coerce_int96_timestamp_unit ParquetFactoryOptions.__reduce_cython__(self) ParquetFactoryOptions.__setstate_cython__(self, __pyx_state) partitioning partitioning_factory partition_base_dir validate_column_chunk_paths value ParquetDatasetFactory.__reduce_cython__(self) ParquetDatasetFactory.__setstate_cython__(self, __pyx_state) filesystem format type RowGroupInfo.__init__(self, id, metadata, schema) num_rows RowGroupInfo.num_rows(self) total_byte_size RowGroupInfo.total_byte_size(self) statistics RowGroupInfo.statistics(self) name_stats self RowGroupInfo.__repr__(self) __eq__ RowGroupInfo.__eq__(self, other) __pyx_unpickle_ParquetReadOptions __pyx_unpickle_ParquetReadOptions(__pyx_type, long __pyx_checksum, __pyx_state) _dataset_parquet loader __loader__ origin __file__ parent __package__ submodule_search_locations __path__ Interpreter change detected - this module can only be loaded into one interpreter per process. Module '_dataset_parquet' has already been imported. Re-initialisation is not supported. builtins cython_runtime __builtins__ init pyarrow._dataset_parquet compile time Python version %d.%d of module '%.100s' %s runtime version %d.%d does not match _cython_3_0_12 Shared Cython type %.200s is not a type object Shared Cython type %.200s has the wrong size, try recompiling _cython_3_0_12.cython_function_or_method <cyfunction %U at %p> unbound method %.200S() needs an argument keywords must be strings %.200s() takes no arguments (%zd given) %.200s() takes exactly one argument (%zd given) Bad call flags for CyFunction %.200s() takes no keyword arguments func_doc func_name func_dict func_globals __globals__ func_closure __closure__ func_code __code__ func_defaults __defaults__ __kwdefaults__ __annotations__ __name__ must be set to a string object __qualname__ must be set to a string object function's dictionary may not be deleted setting function's dictionary to a non-dict __defaults__ must be set to a tuple object changes to cyfunction.__defaults__ will not currently affect the values used in function calls __kwdefaults__ must be set to a dict object changes to cyfunction.__kwdefaults__ will not currently affect the values used in function calls __annotations__ must be set to a dict object name '%U' is not defined pyarrow._dataset FragmentScanOptions FileWriteOptions FileFormat FileFragment _Weakrefable DatasetFactory %.200s.%.200s is not a type object %.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject %s.%s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject invalid vtable found for imported type pyarrow._dataset_parquet.ParquetFragmentScanOptions.init pyarrow._dataset_parquet.ParquetFragmentScanOptions ParquetFragmentScanOptions(bool use_buffered_stream=False, *, buffer_size=8192, bool pre_buffer=True, cache_options=None, thrift_string_size_limit=None, thrift_container_size_limit=None, decryption_config=None, decryption_properties=None, bool page_checksum_verification=False, bool arrow_extensions_enabled=False)
Scan-specific options for Parquet fragments.
Parameters
----------
use_buffered_stream : bool, default False
Read files through buffered input streams rather than loading entire
row groups at once. This may be enabled to reduce memory overhead.
Disabled by default.
buffer_size : int, default 8192
Size of buffered stream, if enabled. Default is 8KB.
pre_buffer : bool, default True
If enabled, pre-buffer the raw Parquet data instead of issuing one
read per column chunk. This can improve performance on high-latency
filesystems (e.g. S3, GCS) by coalescing and issuing file reads in
parallel using a background I/O thread pool.
Set to False if you want to prioritize minimal memory usage
over maximum speed.
cache_options : pyarrow.CacheOptions, default None
Cache options used when pre_buffer is enabled. The default values should
be good for most use cases. You may want to adjust these for example if
you have exceptionally high latency to the file system.
thrift_string_size_limit : int, default None
If not None, override the maximum total string size allocated
when decoding Thrift structures. The default limit should be
sufficient for most Parquet files.
thrift_container_size_limit : int, default None
If not None, override the maximum total size of containers allocated
when decoding Thrift structures. The default limit should be
sufficient for most Parquet files.
decryption_config : pyarrow.dataset.ParquetDecryptionConfig, default None
If not None, use the provided ParquetDecryptionConfig to decrypt the
Parquet file.
decryption_properties : pyarrow.parquet.FileDecryptionProperties, default None
If not None, use the provided FileDecryptionProperties to decrypt encrypted
Parquet file.
page_checksum_verification : bool, default False
If True, verify the page checksum for each page read from the file.
arrow_extensions_enabled : bool, default False
If True, read Parquet logical types as Arrow extension types where possible,
(e.g., read JSON as the canonical `arrow.json` extension type or UUID as
the canonical `arrow.uuid` extension type).
pyarrow._dataset_parquet.ParquetFragmentScanOptions.equals %.200s() keywords must be strings %s() got an unexpected keyword argument '%U' %s() got multiple values for keyword argument '%U' at least at most exactly %.200s() takes %.8s %zd positional argument%.1s (%zd given) s Missing type object Argument '%.200s' has incorrect type (expected %.200s, got %.200s) pyarrow._dataset_parquet.ParquetFragmentScanOptions._reconstruct argument after ** must be a mapping, not NoneType pyarrow._dataset_parquet.ParquetFragmentScanOptions.__reduce__ pyarrow._dataset_parquet.ParquetFragmentScanOptions.use_buffered_stream.__get__ __del__ pyarrow._dataset_parquet.ParquetFragmentScanOptions.use_buffered_stream.__set__ pyarrow._dataset_parquet.ParquetFragmentScanOptions.buffer_size.__get__ pyarrow._dataset_parquet.ParquetFragmentScanOptions.buffer_size.__set__ instance exception may not have a separate value calling %R should have returned an instance of BaseException, not %R raise: exception class must be a subclass of BaseException int an integer is required __int__ returned non-int (type %.200s). The ability to return an instance of a strict subclass of int is deprecated, and may be removed in a future version of Python. __%.4s__ returned non-%.4s (type %.200s) pyarrow._dataset_parquet.ParquetFragmentScanOptions.pre_buffer.__get__ pyarrow._dataset_parquet.ParquetFragmentScanOptions.pre_buffer.__set__ while calling a Python object NULL result without error in PyObject_Call pyarrow._dataset_parquet.ParquetFragmentScanOptions.cache_options.__get__ pyarrow._dataset_parquet.ParquetFragmentScanOptions.cache_options.__set__ pyarrow._dataset_parquet.ParquetFragmentScanOptions.thrift_string_size_limit.__get__ pyarrow._dataset_parquet.ParquetFragmentScanOptions.thrift_string_size_limit.__set__ value too large to convert to int32_t pyarrow._dataset_parquet.ParquetFragmentScanOptions.thrift_container_size_limit.__get__ pyarrow._dataset_parquet.ParquetFragmentScanOptions.thrift_container_size_limit.__set__ pyarrow._dataset_parquet.ParquetFragmentScanOptions.decryption_properties.__get__ pyarrow._dataset_parquet.ParquetFragmentScanOptions.decryption_properties.__set__ pyarrow._dataset_parquet.ParquetFragmentScanOptions.parquet_decryption_config.__get__ pyarrow._dataset_parquet.ParquetFragmentScanOptions.parquet_decryption_config.__set__ pyarrow._dataset_parquet.ParquetFragmentScanOptions.page_checksum_verification.__get__ pyarrow._dataset_parquet.ParquetFragmentScanOptions.page_checksum_verification.__set__ pyarrow._dataset_parquet.ParquetFragmentScanOptions.arrow_extensions_enabled.__get__ pyarrow._dataset_parquet.ParquetFragmentScanOptions.arrow_extensions_enabled.__set__ pyarrow._dataset_parquet.ParquetFragmentScanOptions.__init__ Unknown exception base class '%.200s' is not a heap type extension type '%.200s' has no __dict__ slot, but base type '%.200s' has: either add 'cdef dict __dict__' to the extension type or add '__slots__ = [...]' to the base type '%.200s' object has no attribute '%U' multiple bases have vtable conflict: '%.200s' and '%.200s' pyarrow._dataset_parquet.ParquetFileWriteOptions.init pyarrow._dataset_parquet.ParquetFileWriteOptions 'NoneType' object has no attribute '%.30s' pyarrow._dataset_parquet.ParquetFileWriteOptions.__repr__ dictionary changed size during iteration 'NoneType' object is not iterable need more than %zd value%.1s to unpack too many values to unpack (expected %zd) join() result is too long for a Python string pyarrow._dataset_parquet.ParquetFileWriteOptions.update set changed size during iteration pyarrow._dataset_parquet.ParquetFileWriteOptions._set_properties pyarrow._dataset_parquet.ParquetFileWriteOptions._set_arrow_properties pyarrow._dataset_parquet.ParquetFileWriteOptions._set_encryption_config pyarrow._dataset_parquet.ParquetFileWriteOptions.__reduce_cython__ pyarrow._dataset_parquet.ParquetFileWriteOptions.__setstate_cython__ Unable to initialize pickling for %.200s pyarrow._dataset_parquet.ParquetFileFormat.init pyarrow._dataset_parquet.ParquetFileFormat._set_default_fragment_scan_options pyarrow._dataset_parquet.ParquetFileFormat._finish_write pyarrow._dataset_parquet.ParquetFileFormat ParquetFileFormat(read_options=None, default_fragment_scan_options=None, **kwargs)
FileFormat for Parquet
Parameters
----------
read_options : ParquetReadOptions
Read options for the file.
default_fragment_scan_options : ParquetFragmentScanOptions
Scan Options for the file.
**kwargs : dict
Additional options for read option or scan option
pyarrow._dataset_parquet.ParquetFileFormat.__repr__ pyarrow._dataset_parquet.ParquetFileFormat.make_write_options pyarrow._dataset_parquet.ParquetFileFormat.equals pyarrow._dataset_parquet.ParquetFileFormat.__reduce__ pyarrow._dataset_parquet.ParquetFileFormat.make_fragment Called Open() on an uninitialized FileSource basic_string Constructed with a non-error status: value too large to convert to int vector.from_py.__pyx_convert_vector_from_py_int vector default_extname pyarrow._dataset_parquet.ParquetFileFormat.read_options.__get__ string.to_py.__pyx_convert_PyBytes_string_to_py_6libcpp_6string_std__in_string pyarrow._dataset_parquet.ParquetFileFormat.__init__ string.from_py.__pyx_convert_string_from_py_6libcpp_6string_std__in_string value too large to convert to enum arrow::TimeUnit::type pyarrow._dataset_parquet.ParquetFileFragment.init pyarrow._dataset_parquet.ParquetFileFragment A Fragment representing a parquet file. pyarrow._dataset_parquet.ParquetFileFragment.__reduce__ vector.to_py.__pyx_convert_vector_to_py_int pyarrow._dataset_parquet.ParquetFileFragment.ensure_complete_metadata pyarrow._dataset_parquet.ParquetFileFragment.split_by_row_group pyarrow._dataset_parquet.ParquetFileFragment.subset
Return the number of row groups viewed by this fragment (not the
number of row groups in the origin file).
pyarrow._dataset_parquet.ParquetFileFragment.row_groups.__get__ pyarrow._dataset_parquet.ParquetFileFragment.metadata.__get__ pyarrow._dataset_parquet.ParquetFileFragment.num_row_groups.__get__ pyarrow._dataset_parquet.ParquetReadOptions ParquetReadOptions(dictionary_columns=None, coerce_int96_timestamp_unit=None)
Parquet format specific options for reading.
Parameters
----------
dictionary_columns : list of string, default None
Names of columns which should be dictionary encoded as
they are read
coerce_int96_timestamp_unit : str, default None
Cast timestamps that are stored in INT96 format to a particular
resolution (e.g. 'ms'). Setting to None is equivalent to 'ns'
and therefore INT96 timestamps will be inferred as timestamps
in nanoseconds
pyarrow._dataset_parquet.ParquetReadOptions.__repr__ pyarrow._dataset_parquet.ParquetReadOptions.__eq__ pyarrow._dataset_parquet.ParquetReadOptions.equals pyarrow._dataset_parquet.ParquetReadOptions.__reduce_cython__ pyarrow._dataset_parquet.ParquetReadOptions.__setstate_cython__ tuple Expected %s, got %.200s 'NoneType' object is not subscriptable set pyarrow._dataset_parquet.__pyx_unpickle_ParquetReadOptions__set_state hasattr(): attribute name must be string dictionary_columns: set _coerce_int96_timestamp_unit: 'TimeUnit' pyarrow._dataset_parquet.ParquetReadOptions.coerce_int96_timestamp_unit.__get__ pyarrow._dataset_parquet.ParquetReadOptions.coerce_int96_timestamp_unit.__set__ pyarrow._dataset_parquet.ParquetReadOptions.dictionary_columns.__set__ pyarrow._dataset_parquet.ParquetReadOptions._coerce_int96_timestamp_unit.__get__ pyarrow._dataset_parquet.ParquetReadOptions._coerce_int96_timestamp_unit.__set__ pyarrow._dataset_parquet.ParquetReadOptions.__init__ pyarrow._dataset_parquet.ParquetFactoryOptions ParquetFactoryOptions(partition_base_dir=None, partitioning=None, validate_column_chunk_paths=False)
Influences the discovery of parquet dataset.
Parameters
----------
partition_base_dir : str, optional
For the purposes of applying the partitioning, paths will be
stripped of the partition_base_dir. Files not matching the
partition_base_dir prefix will be skipped for partitioning discovery.
The ignored files will still be part of the Dataset, but will not
have partition information.
partitioning : Partitioning, PartitioningFactory, optional
The partitioning scheme applied to fragments, see ``Partitioning``.
validate_column_chunk_paths : bool, default False
Assert that all ColumnChunk paths are consistent. The parquet spec
allows for ColumnChunk data to be stored in multiple files, but
ParquetDatasetFactory supports only a single file with all ColumnChunk
data. If this flag is set construction of a ParquetDatasetFactory will
raise an error if ColumnChunk data is not resident in a single file.
pyarrow._dataset_parquet.ParquetFactoryOptions.__reduce_cython__ pyarrow._dataset_parquet.ParquetFactoryOptions.__setstate_cython__ Partitioning to apply to discovered files.
NOTE: setting this property will overwrite partitioning_factory.
PartitioningFactory to apply to discovered files and
discover a Partitioning.
NOTE: setting this property will overwrite partitioning.
Base directory to strip paths before applying the partitioning.
pyarrow._dataset_parquet.ParquetFactoryOptions.partitioning.__get__ pyarrow._dataset_parquet.ParquetFactoryOptions.partitioning.__set__ pyarrow._dataset_parquet.ParquetFactoryOptions.partitioning_factory.__get__ pyarrow._dataset_parquet.ParquetFactoryOptions.partitioning_factory.__set__ pyarrow._dataset_parquet.ParquetFactoryOptions.partition_base_dir.__get__ pyarrow._dataset_parquet.ParquetFactoryOptions.partition_base_dir.__set__ pyarrow._dataset_parquet.ParquetFactoryOptions.validate_column_chunk_paths.__set__ pyarrow._dataset_parquet.ParquetFactoryOptions.__init__ pyarrow._dataset_parquet.ParquetDatasetFactory.init pyarrow._dataset_parquet.ParquetDatasetFactory ParquetDatasetFactory(metadata_path, FileSystem filesystem, FileFormat format, ParquetFactoryOptions options=None)
Create a ParquetDatasetFactory from a Parquet `_metadata` file.
Parameters
----------
metadata_path : str
Path to the `_metadata` parquet metadata-only file generated with
`pyarrow.parquet.write_metadata`.
filesystem : pyarrow.fs.FileSystem
Filesystem to read the metadata_path from, and subsequent parquet
files.
format : ParquetFileFormat
Parquet format options.
options : ParquetFactoryOptions, optional
Various flags influencing the discovery of filesystem paths.
pyarrow._dataset_parquet.ParquetDatasetFactory.__reduce_cython__ pyarrow._dataset_parquet.ParquetDatasetFactory.__setstate_cython__ pyarrow._dataset_parquet.ParquetDatasetFactory.__init__ pyarrow._dataset_parquet.__pyx_scope_struct__statistics bool complex datetime date time timedelta tzinfo IpcWriteOptions IpcReadOptions Message MemoryPool DataType ListType LargeListType ListViewType LargeListViewType MapType FixedSizeListType StructType DictionaryMemo DictionaryType TimestampType Time32Type Time64Type DurationType FixedSizeBinaryType Decimal32Type Decimal64Type Decimal128Type Decimal256Type RunEndEncodedType BaseExtensionType ExtensionType FixedShapeTensorType Bool8Type OpaqueType UuidType JsonType _Metadata KeyValueMetadata Field Schema Scalar ArrayStatistics _PandasConvertible Array Tensor SparseCSRMatrix SparseCSCMatrix SparseCOOTensor SparseCSFTensor NullArray BooleanArray NumericArray IntegerArray FloatingPointArray Int8Array UInt8Array Int16Array UInt16Array Int32Array UInt32Array Int64Array UInt64Array HalfFloatArray FloatArray DoubleArray FixedSizeBinaryArray Decimal32Array Decimal64Array Decimal128Array Decimal256Array StructArray BaseListArray ListArray LargeListArray ListViewArray LargeListViewArray MapArray FixedSizeListArray UnionArray StringArray BinaryArray StringViewArray BinaryViewArray DictionaryArray ExtensionArray MonthDayNanoIntervalArray ChunkedArray _Tabular Table RecordBatch Device MemoryManager Buffer ResizableBuffer NativeFile BufferedInputStream BufferedOutputStream CompressedInputStream CompressedOutputStream _CRecordBatchWriter RecordBatchReader CacheOptions Codec StopToken pyarrow._parquet FileEncryptionProperties ParquetSchema FileMetaData RowGroupMetaData ColumnChunkMetaData Statistics GeoStatistics FileDecryptionProperties pyarrow._fs FileInfo FileSelector FileSystem LocalFileSystem SubTreeFileSystem _MockFileSystem PyFileSystem Dataset Scanner Fragment Partitioning PartitioningFactory WrittenFile pyarrow._compute UdfContext FunctionOptions _SortOptions Expression _true arrow::compute::Expression __pyx_capi__ %.200s does not export expected C variable %.200s C variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s) check_status int (arrow::Status const &) timeunit_to_string PyObject *(enum arrow::TimeUnit::type) string_to_timeunit enum arrow::TimeUnit::type (PyObject *) _create_writer_properties std::shared_ptr<parquet::WriterProperties> (struct __pyx_opt_args_7pyarrow_8_parquet__create_writer_properties *__pyx_optional_args) _create_arrow_writer_properties std::shared_ptr<parquet::ArrowWriterProperties> (struct __pyx_opt_args_7pyarrow_8_parquet__create_arrow_writer_properties *__pyx_optional_args) _make_file_source arrow::dataset::FileSource (PyObject *, struct __pyx_opt_args_7pyarrow_8_dataset__make_file_source *__pyx_optional_args) _bind arrow::compute::Expression (struct __pyx_obj_7pyarrow_8_compute_Expression *, struct __pyx_obj_7pyarrow_3lib_Schema *) %.200s does not export expected C function %.200s C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s) cannot import name %S Cannot convert %.200s to %.200s %.200s() needs an argument pyarrow._dataset_parquet.RowGroupInfo.__init__ pyarrow._dataset_parquet.RowGroupInfo.num_rows pyarrow._dataset_parquet.RowGroupInfo.total_byte_size pyarrow._dataset_parquet.RowGroupInfo.statistics pyarrow._dataset_parquet.RowGroupInfo.statistics.name_stats free variable '%s' referenced before assignment in enclosing scope pyarrow._dataset_parquet.RowGroupInfo.__repr__ pyarrow._dataset_parquet.RowGroupInfo.__eq__ pyarrow._dataset_parquet.__pyx_unpickle_ParquetReadOptions
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