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%.200sbuiltinstypeboolcomplexdatetimedatetimedeltatzinfoIpcWriteOptionsIpcReadOptionsMessageMemoryPoolDataTypeLargeListTypeLargeListViewTypeMapTypeFixedSizeListTypeStructTypeDictionaryMemoDictionaryTypeTimestampTypeTime32TypeTime64TypeDurationTypeFixedSizeBinaryTypeDecimal32TypeDecimal64TypeDecimal128TypeDecimal256TypeRunEndEncodedTypeBaseExtensionTypeFixedShapeTensorTypeBool8TypeOpaqueTypeUuidTypeJsonType_MetadataKeyValueMetadataFieldSchemaScalarArrayStatistics_PandasConvertibleSparseCSRMatrixSparseCSCMatrixSparseCOOTensorSparseCSFTensorNullArrayBooleanArrayNumericArrayIntegerArrayFloatingPointArrayUInt8ArrayUInt16ArrayUInt32ArrayUInt64ArrayHalfFloatArrayDoubleArrayFixedSizeBinaryArrayDecimal32ArrayDecimal64ArrayDecimal128ArrayDecimal256ArrayStructArrayBaseListArrayLargeListArrayLargeListViewArrayMapArrayFixedSizeListArrayUnionArrayStringArrayStringViewArrayBinaryViewArrayDictionaryArrayExtensionArrayMonthDayNanoIntervalArrayChunkedArray_TabularTableRecordBatchDeviceMemoryManagerResizableBufferNativeFileBufferedInputStreamBufferedOutputStreamCompressedInputStreamCompressedOutputStream_CRecordBatchWriterRecordBatchReaderCacheOptionsCodecStopTokenpyarrow._fsFileInfoFileSelectorLocalFileSystemSubTreeFileSystem_MockFileSystemPyFileSystempyarrow._aceroDeclarationUdfContextFunctionOptions_SortOptionspyarrow._csvConvertOptionsParseOptionspyarrow._jsonneeds an argument%.200s() %stakes no keyword argumentstakes no arguments%.200s() %s (%zd given)takes exactly one argumentkeywords must be stringsMissing type objectcannot import name %San integer is requiredgenerator already executing.No module named '%U'name '%U' is not definedthrow__reduce_cython____reduce__pyarrow/_dataset.pyxpyarrow._dataset.Scanner.wrap_iterator__init__pyarrow/_dataset.pxd__del____setstate_cython__filtergetto_batchesmake_write_options_get_parquet_symbolpyarrow._dataset.Dataset.wrapfrom_pathsread_optionsequalsotherpyarrow._dataset.Dataset.take_get_fragmentsjoin_asoftupleto_tablescannersort_bypyarrow._dataset.Dataset.joinpyarrow._dataset.Dataset.headcount_rows_scanner_optionsselector_ignore_prefixes__pyx_unpickle_WrittenFileitems_WeakrefableExecNodeOptionscython_runtime__builtins__does not match__orig_bases__init 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argument%.1s (%zd given)Shared Cython type %.200s is not a type objectShared Cython type %.200s has the wrong size, try recompiling%s() got multiple values for keyword argument '%U'metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases while calling a Python objectNULL result without error in PyObject_Call%s() got an unexpected keyword argument '%U'__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.__int__ returned non-int (type %.200s)%.200s does not export expected C function %.200sC function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)Interpreter change detected - this module can only be loaded into one interpreter per process.base class '%.200s' is not a heap typeextension 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 arrow::MemoryPool *(struct __pyx_obj_7pyarrow_3lib_MemoryPool *)struct __pyx_obj_7pyarrow_3lib_NativeFile *(PyObject *, bool)std::shared_ptr > (PyObject *, PyObject *)PyObject *(std::shared_ptr< arrow::Buffer> const &)PyObject *(std::shared_ptr< arrow::Schema> const &)PyObject *(std::shared_ptr< arrow::Scalar> const &)PyObject *(std::shared_ptr< arrow::Array> const &)PyObject *(std::shared_ptr< arrow::RecordBatch> const &)PyObject *(std::shared_ptr< arrow::Table> const &)std::shared_ptr< arrow::Buffer> (PyObject *)std::shared_ptr< arrow::Schema> (PyObject *)std::shared_ptr< arrow::Array> (PyObject *)std::shared_ptr< arrow::Table> (PyObject *)arrow::compute::Expression (struct __pyx_obj_7pyarrow_8_compute_Expression *, struct __pyx_obj_7pyarrow_3lib_Schema *)%.200s does not export expected C variable %.200sC variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)%.200s.%.200s is not a type object%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObjectarrow::dataset::FileSource (PyObject *, struct __pyx_opt_args_7pyarrow_8_dataset__make_file_source *__pyx_optional_args)%.200s() keywords must be stringsinvalid vtable found for imported typemultiple bases have vtable conflict: '%.200s' and '%.200s'join() result is too long for a Python stringunbound method %.200S() needs an argument__annotations__ must be set to a dict object__name__ must be set to a string object__qualname__ must be set to a string object__defaults__ must be set to a tuple objectchanges to cyfunction.__defaults__ will not currently affect the values used in function calls__kwdefaults__ must be set to a dict objectchanges to cyfunction.__kwdefaults__ will not currently affect the values used in function callsfunction's dictionary may not be deletedsetting function's dictionary to a non-dictCannot convert %.200s to %.200sraise: arg 3 must be a traceback or Noneinstance exception may not have a separate valueraise: exception class must be a subclass of BaseExceptioncalling %R should have returned an instance of BaseException, not %Rvalue too large to convert to intgenerator raised StopIteration__mro_entries__ must return a tuplegenerator ignored GeneratorExitdictionary changed size during iterationtoo many values to unpack (expected %zd)need more than %zd value%.1s to unpack'NoneType' object is not iterablepyarrow._dataset.Dataset.__reduce_cython__pyarrow._dataset.InMemoryDataset.__reduce_cython__pyarrow._dataset.FileWriteOptions.__reduce_cython__pyarrow._dataset.FileFormat.__reduce_cython__pyarrow._dataset.Fragment.__reduce_cython__pyarrow._dataset.FragmentScanOptions.__reduce_cython__pyarrow._dataset.IpcFileWriteOptions.__reduce_cython__pyarrow._dataset.IpcFileFormat.__reduce__pyarrow._dataset.CsvFileWriteOptions.__reduce_cython__pyarrow._dataset.Partitioning.__reduce_cython__pyarrow._dataset.DatasetFactory.__reduce_cython__pyarrow._dataset.FileSystemFactoryOptions.__reduce_cython__pyarrow._dataset.FileSystemDatasetFactory.__reduce_cython__pyarrow._dataset.UnionDatasetFactory.__reduce_cython__pyarrow._dataset.RecordBatchIterator.__reduce_cython__pyarrow._dataset.TaggedRecordBatchIterator.__reduce_cython__pyarrow._dataset.Scanner.to_batches._iteratorpyarrow._dataset.Scanner.__reduce_cython__pyarrow._dataset._ScanNodeOptions.__reduce_cython__pyarrow._dataset.JsonFileFormat.__reduce__string.from_py.__pyx_convert_string_from_py_6libcpp_6string_std__in_stringpyarrow._dataset.DatasetFactory.wrapcan't 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'%.200s' must not be None'NoneType' object has no attribute '%.30s'pyarrow._dataset.Dataset.__setstate_cython__string.to_py.__pyx_convert_PyBytes_string_to_py_6libcpp_6string_std__in_stringpyarrow._dataset._wrap_segment_encodingpyarrow._dataset.KeyValuePartitioning.__reduce__pyarrow._dataset.InMemoryDataset.__setstate_cython__pyarrow._dataset.TaggedRecordBatchIterator.__setstate_cython__pyarrow._dataset.UnionDataset.__reduce__pyarrow._dataset.FileSystemDataset.__reduce__pyarrow._dataset.FileWriteOptions.__setstate_cython__pyarrow._dataset.DatasetFactory.__setstate_cython__pyarrow._dataset.FileFormat.__setstate_cython__pyarrow._dataset.Scanner.to_batchespyarrow._dataset.Fragment.__setstate_cython__pyarrow._dataset.FileSystemFactoryOptions.__setstate_cython__pyarrow._dataset.FileFragment.__reduce__pyarrow._dataset._ScanNodeOptions.__setstate_cython__pyarrow._dataset.FragmentScanOptions.__setstate_cython__pyarrow._dataset.FileSystemDatasetFactory.__setstate_cython__pyarrow._dataset.IpcFileWriteOptions.__setstate_cython__pyarrow._dataset.Scanner.__setstate_cython__pyarrow._dataset.IpcFileFormat.make_write_optionspyarrow._dataset.CsvFileFormat.make_write_optionspyarrow._dataset.CsvFileFormat.__reduce__pyarrow._dataset.CsvFragmentScanOptions.__reduce__pyarrow._dataset.UnionDatasetFactory.__setstate_cython__pyarrow._dataset.CsvFileWriteOptions.__setstate_cython__pyarrow._dataset.FileSystemFactoryOptions.selector_ignore_prefixes.__get__pyarrow._dataset.FileSystemFactoryOptions.partition_base_dir.__get__pyarrow._dataset.FileFormat.default_extname.__get__pyarrow._dataset.PartitioningFactory.type_name.__get__pyarrow._dataset.FragmentScanOptions.type_name.__get__pyarrow._dataset._get_segment_encoding'NoneType' object is not subscriptablehasattr(): attribute name must be stringpyarrow._dataset.__pyx_unpickle_WrittenFile__set_statepyarrow._dataset._get_parquet_symbol'%.200s' object is not subscriptablecannot fit '%.200s' into an index-sized integerpyarrow._dataset.FileSystemDataset.from_pathspyarrow._dataset.Partitioning.wrapArgument '%.200s' has incorrect type (expected %.200s, got %.200s)pyarrow._dataset.ScanNodeOptions.__init__pyarrow._dataset.JsonFileFormat.equalspyarrow._dataset.CsvFileFormat.equalspyarrow._dataset.IpcFileFormat.equalspyarrow._dataset.Fragment.takepyarrow._dataset.Dataset.get_fragmentspyarrow._dataset.Dataset._get_fragmentspyarrow._dataset.Dataset.join_asofpyarrow._dataset.PartitioningFactory.__reduce___constructor_hive_partitioning_factorypyarrow._dataset._constructor_hive_partitioning_factory_constructor_directory_partitioning_factorypyarrow._dataset._constructor_directory_partitioning_factory_constructor_filename_partitioning_factorypyarrow._dataset._constructor_filename_partitioning_factorypyarrow._dataset.WrittenFile.__setstate_cython__pyarrow._dataset.FileSystemFactoryOptions.partition_base_dir.__set__pyarrow._dataset.FileFormat.wrappyarrow._dataset.FileSystemDataset.format.__get__pyarrow._dataset.FileFragment.format.__get__pyarrow._dataset.FileWriteOptions.format.__get__pyarrow._dataset.Fragment.to_tablepyarrow._dataset.Fragment.to_batchespyarrow._dataset.Fragment.scannerpyarrow._dataset.FragmentScanOptions.wrappyarrow._dataset.FileFormat.default_fragment_scan_options.__get__'%.200s' object has no attribute '%U'pyarrow._dataset.Dataset.sort_bypyarrow._dataset.CsvFragmentScanOptions.equalspyarrow._dataset.JsonFragmentScanOptions.equalspyarrow._dataset._get_parquet_classespyarrow._dataset.Fragment.headpyarrow._dataset.Fragment.count_rowspyarrow._dataset.Dataset.count_rowspyarrow._dataset._filesystemdataset_write_visitorpyarrow._dataset.Fragment.wrappyarrow._dataset.Dataset._scanner_optionspyarrow._dataset._get_orc_fileformatpyarrow._dataset.FileWriteOptions.wrappyarrow._dataset.WrittenFile.__reduce_cython__pyarrow._dataset.Dataset.scannerpyarrow._dataset.HivePartitioning.__reduce__pyarrow._dataset.FileSystemFactoryOptions.__init__pyarrow._dataset.Dataset.to_tablepyarrow._dataset.Dataset.to_batchespyarrow._dataset.__pyx_unpickle_WrittenFilepyarrow._dataset.FileFragment.__repr__pyarrow._dataset.FileFragment.path.__get__Unable to initialize pickling for %.200sModule '_dataset' has already been imported. Re-initialisation is not supported.compile time Python version %d.%d of module '%.100s' %s runtime version %d.%dpyarrow._dataset.CsvFileFormat.parse_options.__get__pyarrow._dataset.JsonFileFormat.__init__argument after ** must be a mapping, not NoneTypepyarrow._dataset.CsvFileFormat.__init__pyarrow._dataset.IpcFileFormat.__init__pyarrow._dataset.FileFormat.default_fragment_scan_options.__set__pyarrow._dataset.FilenamePartitioning.initpyarrow._dataset.HivePartitioning.initpyarrow._dataset.DirectoryPartitioning.initpyarrow._dataset.FileSystemFactoryOptions.partitioning.__set__pyarrow._dataset.FileSystemFactoryOptions.partitioning_factory.__set__pyarrow._dataset.FileSystemDataset.partitioning.__get__pyarrow._dataset.FileFormat._finish_writepyarrow._dataset.DatasetFactory.root_partition.__set__pyarrow._dataset.Scanner.count_rowspyarrow._dataset.Partitioning.formatpyarrow._dataset.JsonFragmentScanOptions.__init__pyarrow._dataset.CsvFileFormat._set_default_fragment_scan_optionspyarrow._dataset.JsonFileFormat._set_default_fragment_scan_optionspyarrow._dataset.JsonFragmentScanOptions.parse_options.__get__pyarrow._dataset.FileSystemFactoryOptions.partitioning.__get__pyarrow._dataset.FileSystemFactoryOptions.partitioning_factory.__get__pyarrow._dataset.JsonFragmentScanOptions.initpyarrow._dataset.CsvFragmentScanOptions.initpyarrow._dataset.FileFragment.buffer.__get__pyarrow._dataset.FileFragment.filesystem.__get__pyarrow._dataset.CsvFileFormat.initpyarrow._dataset.IpcFileWriteOptions.initpyarrow._dataset.CsvFileWriteOptions.initpyarrow._dataset.JsonFileFormat.initpyarrow._dataset.CsvFileWriteOptions.write_options.__get__pyarrow._dataset._make_file_sourcepyarrow._dataset.FileFormat.make_write_optionspyarrow._dataset.IpcFileWriteOptions.write_options.__get__pyarrow._dataset.Partitioning.__eq__pyarrow._dataset.KeyValuePartitioning.dictionaries.__get__pyarrow._dataset.FileSystemDataset.files.__get__pyarrow._dataset.UnionDataset.children.__get__pyarrow._dataset.FileSystemDataset.initpyarrow._dataset.UnionDataset.initpyarrow._dataset.InMemoryDataset.initpyarrow._dataset.FileFragment.initpyarrow._dataset.UnionDatasetFactory.initpyarrow._dataset.FileSystemDatasetFactory.initpyarrow._dataset.DatasetFactory.inspect_schemaspyarrow._dataset.RecordBatchIterator.wrappyarrow._dataset.TaggedRecordBatchIterator.wrappyarrow._dataset.Scanner.scan_batchespyarrow._dataset.TaggedRecordBatchIterator.__next__pyarrow._dataset.InMemoryDataset.__init__pyarrow._dataset._filesystemdataset_writepyarrow._dataset.HivePartitioning.discoverpyarrow._dataset.RecordBatchIterator.__next__pyarrow._dataset.Partitioning.parsepyarrow._dataset.FileFragment.openpyarrow._dataset.CsvFragmentScanOptions.__init__pyarrow._dataset.DatasetFactory.inspectpyarrow._dataset.FileFormat.inspectpyarrow._dataset.Fragment.physical_schema.__get__pyarrow._dataset.Dataset.replace_schemapyarrow._dataset.DatasetFactory.finishpyarrow._dataset.UnionDataset.__init__pyarrow._dataset.FileFormat.make_fragmentpyarrow._dataset.UnionDatasetFactory.__init__pyarrow._dataset.Scanner.to_tablepyarrow._dataset.Scanner.to_readerpyarrow._dataset.FileSystemDataset.__init__pyarrow._dataset._partitioning_dictionariespyarrow._dataset.DirectoryPartitioning.__init__pyarrow._dataset.HivePartitioning.__init__pyarrow._dataset.FilenamePartitioning.__init__vector.from_py.__pyx_convert_vector_from_py_std_3a__3a_stringpyarrow._dataset.FileSystemFactoryOptions.selector_ignore_prefixes.__set__pyarrow._dataset.CsvFragmentScanOptions.read_options.__set__pyarrow._dataset.FilenamePartitioning.discoverpyarrow._dataset.DirectoryPartitioning.discoverpyarrow._dataset._populate_builderpyarrow._dataset.Scanner.from_batchespyarrow._dataset.unwrap_finfospyarrow._dataset.FileSystemDatasetFactory.__init__pyarrow._dataset.CsvFragmentScanOptions.read_options.__get__pyarrow._dataset.CsvFragmentScanOptions.convert_options.__get__pyarrow._dataset.Scanner._make_scan_optionspyarrow._dataset._ScanNodeOptions._set_optionspyarrow._dataset.Scanner.from_fragmentpyarrow._dataset.Scanner.from_datasetstd::get: wrong index for variantpyarrow._dataset.get_partition_keysqualified name of the generatorobject being iterated by 'yield from', or Nonesend(arg) -> send 'arg' into generator, return next yielded value or raise StopIteration.throw(typ[,val[,tb]]) -> raise exception in generator, return next yielded value or raise StopIteration.close() -> raise GeneratorExit inside generator._cython_3_1_2.cython_function_or_method_cython_3_1_2._common_types_metatypepyarrow._dataset.__pyx_scope_struct_1__iteratorpyarrow._dataset.__pyx_scope_struct___get_fragmentspyarrow._dataset._ScanNodeOptionspyarrow._dataset.TaggedRecordBatchIteratorTaggedRecordBatchIterator() An iterator over a sequence of record batches with fragments.pyarrow._dataset.RecordBatchIteratorRecordBatchIterator() An iterator over a sequence of record batches.pyarrow._dataset.UnionDatasetFactoryUnionDatasetFactory(list factories) Provides a way to inspect/discover a Dataset's expected schema before materialization. Parameters ---------- factories : list of DatasetFactorypyarrow._dataset.FileSystemDatasetFactoryFileSystemDatasetFactory(FileSystem filesystem, paths_or_selector, FileFormat format, FileSystemFactoryOptions options=None) Create a DatasetFactory from a list of paths with schema inspection. Parameters ---------- filesystem : pyarrow.fs.FileSystem Filesystem to discover. paths_or_selector : pyarrow.fs.FileSelector or list of path-likes Either a Selector object or a list of path-like objects. format : FileFormat Currently only ParquetFileFormat and IpcFileFormat are supported. options : FileSystemFactoryOptions, optional Various flags influencing the discovery of filesystem paths.pyarrow._dataset.FileSystemFactoryOptionsFileSystemFactoryOptions(partition_base_dir=None, partitioning=None, exclude_invalid_files=None, list selector_ignore_prefixes=None) Influences the discovery of filesystem paths. 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 Apply the Partitioning to every discovered Fragment. See Partitioning or PartitioningFactory documentation. exclude_invalid_files : bool, optional (default True) If True, invalid files will be excluded (file format specific check). This will incur IO for each files in a serial and single threaded fashion. Disabling this feature will skip the IO, but unsupported files may be present in the Dataset (resulting in an error at scan time). selector_ignore_prefixes : list, optional When discovering from a Selector (and not from an explicit file list), ignore files and directories matching any of these prefixes. By default this is ['.', '_'].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. Whether to exclude invalid files. List of prefixes. Files matching one of those prefixes will be ignored by the discovery process. pyarrow._dataset.FilenamePartitioningFilenamePartitioning(Schema schema, dictionaries=None, segment_encoding='uri') A Partitioning based on a specified Schema. The FilenamePartitioning expects one segment in the file name for each field in the schema (all fields are required to be present) separated by '_'. For example given schema the name ``"2009_11_"`` would be parsed to ("year" == 2009 and "month" == 11). Parameters ---------- schema : Schema The schema that describes the partitions present in the file path. dictionaries : dict[str, Array] If the type of any field of `schema` is a dictionary type, the corresponding entry of `dictionaries` must be an array containing every value which may be taken by the corresponding column or an error will be raised in parsing. segment_encoding : str, default "uri" After splitting paths into segments, decode the segments. Valid values are "uri" (URI-decode segments) and "none" (leave as-is). Returns ------- FilenamePartitioning Examples -------- >>> from pyarrow.dataset import FilenamePartitioning >>> partitioning = FilenamePartitioning( ... pa.schema([("year", pa.int16()), ("month", pa.int8())])) >>> print(partitioning.parse("2009_11_data.parquet")) ((year == 2009) and (month == 11))pyarrow._dataset.HivePartitioningHivePartitioning(Schema schema, dictionaries=None, null_fallback='__HIVE_DEFAULT_PARTITION__', segment_encoding='uri') A Partitioning for "/$key=$value/" nested directories as found in Apache Hive. Multi-level, directory based partitioning scheme originating from Apache Hive with all data files stored in the leaf directories. Data is partitioned by static values of a particular column in the schema. Partition keys are represented in the form $key=$value in directory names. Field order is ignored, as are missing or unrecognized field names. For example, given schema, a possible path would be "/year=2009/month=11/day=15". Parameters ---------- schema : Schema The schema that describes the partitions present in the file path. dictionaries : dict[str, Array] If the type of any field of `schema` is a dictionary type, the corresponding entry of `dictionaries` must be an array containing every value which may be taken by the corresponding column or an error will be raised in parsing. null_fallback : str, default "__HIVE_DEFAULT_PARTITION__" If any field is None then this fallback will be used as a label segment_encoding : str, default "uri" After splitting paths into segments, decode the segments. Valid values are "uri" (URI-decode segments) and "none" (leave as-is). Returns ------- HivePartitioning Examples -------- >>> from pyarrow.dataset import HivePartitioning >>> partitioning = HivePartitioning( ... pa.schema([("year", pa.int16()), ("month", pa.int8())])) >>> print(partitioning.parse("/year=2009/month=11/")) ((year == 2009) and (month == 11))pyarrow._dataset.DirectoryPartitioningDirectoryPartitioning(Schema schema, dictionaries=None, segment_encoding='uri') A Partitioning based on a specified Schema. The DirectoryPartitioning expects one segment in the file path for each field in the schema (all fields are required to be present). For example given schema the path "/2009/11" would be parsed to ("year"_ == 2009 and "month"_ == 11). Parameters ---------- schema : Schema The schema that describes the partitions present in the file path. dictionaries : dict[str, Array] If the type of any field of `schema` is a dictionary type, the corresponding entry of `dictionaries` must be an array containing every value which may be taken by the corresponding column or an error will be raised in parsing. segment_encoding : str, default "uri" After splitting paths into segments, decode the segments. Valid values are "uri" (URI-decode segments) and "none" (leave as-is). Returns ------- DirectoryPartitioning Examples -------- >>> from pyarrow.dataset import DirectoryPartitioning >>> partitioning = DirectoryPartitioning( ... pa.schema([("year", pa.int16()), ("month", pa.int8())])) >>> print(partitioning.parse("/2009/11/")) ((year == 2009) and (month == 11))pyarrow._dataset.KeyValuePartitioning The unique values for each partition field, if available. Those values are only available if the Partitioning object was created through dataset discovery from a PartitioningFactory, or if the dictionaries were manually specified in the constructor. If no dictionary field is available, this returns an empty list. pyarrow._dataset.JsonFragmentScanOptionsJsonFragmentScanOptions(ParseOptions parse_options=None, ReadOptions read_options=None) Scan-specific options for JSON fragments. Parameters ---------- parse_options : pyarrow.json.ParseOptions Options regarding JSON parsing. read_options : pyarrow.json.ReadOptions General read options.pyarrow._dataset.JsonFileFormatJsonFileFormat(default_fragment_scan_options=None, ParseOptions parse_options=None, ReadOptions read_options=None) FileFormat for JSON files. Parameters ---------- default_fragment_scan_options : JsonFragmentScanOptions Default options for fragments scan. parse_options : pyarrow.json.ParseOptions Options regarding json parsing. read_options : pyarrow.json.ReadOptions General read options.pyarrow._dataset.CsvFileWriteOptionspyarrow._dataset.CsvFragmentScanOptionsCsvFragmentScanOptions(ConvertOptions convert_options=None, ReadOptions read_options=None) Scan-specific options for CSV fragments. Parameters ---------- convert_options : pyarrow.csv.ConvertOptions Options regarding value conversion. read_options : pyarrow.csv.ReadOptions General read options.pyarrow._dataset.CsvFileFormatCsvFileFormat(ParseOptions parse_options=None, default_fragment_scan_options=None, ConvertOptions convert_options=None, ReadOptions read_options=None) FileFormat for CSV files. Parameters ---------- parse_options : pyarrow.csv.ParseOptions Options regarding CSV parsing. default_fragment_scan_options : CsvFragmentScanOptions Default options for fragments scan. convert_options : pyarrow.csv.ConvertOptions Options regarding value conversion. read_options : pyarrow.csv.ReadOptions General read options._read_options_py: pyarrow._csv.ReadOptionspyarrow._dataset.FeatherFileFormatpyarrow._dataset.IpcFileFormatpyarrow._dataset.IpcFileWriteOptionspyarrow._dataset.FileSystemDatasetFileSystemDataset(fragments, Schema schema, FileFormat format, FileSystem filesystem=None, root_partition=None) A Dataset of file fragments. A FileSystemDataset is composed of one or more FileFragment. Parameters ---------- fragments : list[Fragments] List of fragments to consume. schema : Schema The top-level schema of the Dataset. format : FileFormat File format of the fragments, currently only ParquetFileFormat, IpcFileFormat, CsvFileFormat, and JsonFileFormat are supported. filesystem : FileSystem FileSystem of the fragments. root_partition : Expression, optional The top-level partition of the DataDataset. The partitioning of the Dataset source, if discovered. If the FileSystemDataset is created using the ``dataset()`` factory function with a partitioning specified, this will return the finalized Partitioning object from the dataset discovery. In all other cases, this returns None. The FileFormat of this source.UnionDataset(Schema schema, children) A Dataset wrapping child datasets. Children's schemas must agree with the provided schema. Parameters ---------- schema : Schema A known schema to conform to. children : list of Dataset One or more input childrenpyarrow._dataset.InMemoryDatasetInMemoryDataset(source, Schema schema=None) A Dataset wrapping in-memory data. Parameters ---------- source : RecordBatch, Table, list, tuple The data for this dataset. Can be a RecordBatch, Table, list of RecordBatch/Table, iterable of RecordBatch, or a RecordBatchReader If an iterable is provided, the schema must also be provided. schema : Schema, optional Only required if passing an iterable as the sourceWrittenFile(path, metadata, size) Metadata information about files written as part of a dataset write operation Parameters ---------- path : str Path to the file. metadata : pyarrow.parquet.FileMetaData, optional For Parquet files, the Parquet file metadata. size : int The size of the file in bytes.pyarrow._dataset.PartitioningFactoryThe arrow Schema attached to the partitioning.A Fragment representing a data file. The path of the data file viewed by this fragment, if it views a file. If instead it views a buffer, this will be "". The FileSystem containing the data file viewed by this fragment, if it views a file. If instead it views a buffer, this will be None. The buffer viewed by this fragment, if it views a buffer. If instead it views a file, this will be None. The format of the data file viewed by this fragment. Fragment() Fragment of data from a Dataset.Return the physical schema of this Fragment. This schema can be different from the dataset read schema.An Expression which evaluates to true for all data viewed by this Fragment. pyarrow._dataset.FileWriteOptionspyarrow._dataset.FragmentScanOptionsFragmentScanOptions() Scan options specific to a particular fragment and scan operation.Scanner() A materialized scan operation with context and options bound. A scanner is the class that glues the scan tasks, data fragments and data sources together.The schema with which batches will be read from fragments. The materialized schema of the data, accounting for projections. This is the schema of any data returned from the scanner. Dataset() Collection of data fragments and potentially child datasets. Arrow Datasets allow you to query against data that has been split across multiple files. This sharding of data may indicate partitioning, which can accelerate queries that only touch some partitions (files). An Expression which evaluates to true for all data viewed by this Dataset. The common schema of the full Datasetpyarrow._dataset.DatasetFactoryDatasetFactory() DatasetFactory is used to create a Dataset, inspect the Schema of the fragments contained in it, and declare a partitioning.Acϭ>c@@@r@^@M@<@@IPGGF8GAG~~~~l~X~D~0~~~}ކk #;SxdP<(֖cy ݗ3KS@,ܤmYE1 dr6,D\yeQ=)lz>4LdmYE1 alwDxdP##!d!!DL! T%3- - -,,,,,,,l,4^6.6;6555556F6==<<<<<<| is converted to {'part': 'A', 'year': 2016}Scanner.__setstate_cython__(self, __pyx_state)Scanner.__reduce_cython__(self)Scanner.to_reader(self) Consume this scanner as a RecordBatchReader. Returns ------- RecordBatchReaderScanner.count_rows(self) Count rows matching the scanner filter. Returns ------- count : intScanner.head(self, int num_rows) Load the first N rows of the dataset. Parameters ---------- num_rows : int The number of rows to load. Returns ------- TableScanner.take(self, indices) Select rows of data by index. Will only consume as many batches of the underlying dataset as needed. Otherwise, this is equivalent to ``to_table().take(indices)``. Parameters ---------- indices : Array or array-like indices of rows to select in the dataset. Returns ------- TableScanner.to_table(self) Convert a Scanner into a Table. Use this convenience utility with care. This will serially materialize the Scan result in memory before creating the Table. Returns ------- TableScanner.scan_batches(self) Consume a Scanner in record batches with corresponding fragments. Returns ------- record_batches : iterator of TaggedRecordBatchScanner.to_batches(self) Consume a Scanner in record batches. Returns ------- record_batches : iterator of RecordBatchScanner.from_batches(source, *, Schema schema=None, columns=None, Expression filter=None, int batch_size=_DEFAULT_BATCH_SIZE, int batch_readahead=_DEFAULT_BATCH_READAHEAD, int fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD, FragmentScanOptions fragment_scan_options=None, bool use_threads=True, bool cache_metadata=True, MemoryPool memory_pool=None) Create a Scanner from an iterator of batches. This creates a scanner which can be used only once. It is intended to support writing a dataset (which takes a scanner) from a source which can be read only once (e.g. a RecordBatchReader or generator). Parameters ---------- source : Iterator or Arrow-compatible stream object The iterator of Batches. This can be a pyarrow RecordBatchReader, any object that implements the Arrow PyCapsule Protocol for streams, or an actual Python iterator of RecordBatches. schema : Schema The schema of the batches (required when passing a Python iterator). columns : list[str] or dict[str, Expression], default None The columns to project. This can be a list of column names to include (order and duplicates will be preserved), or a dictionary with {new_column_name: expression} values for more advanced projections. The list of columns or expressions may use the special fields `__batch_index` (the index of the batch within the fragment), `__fragment_index` (the index of the fragment within the dataset), `__last_in_fragment` (whether the batch is last in fragment), and `__filename` (the name of the source file or a description of the source fragment). The columns will be passed down to Datasets and corresponding data fragments to avoid loading, copying, and deserializing columns that will not be required further down the compute chain. By default all of the available columns are projected. Raises an exception if any of the referenced column names does not exist in the dataset's Schema. filter : Expression, default None Scan will return only the rows matching the filter. If possible the predicate will be pushed down to exploit the partition information or internal metadata found in the data source, e.g. Parquet statistics. Otherwise filters the loaded RecordBatches before yielding them. batch_size : int, default 131_072 The maximum row count for scanned record batches. If scanned record batches are overflowing memory then this method can be called to reduce their size. batch_readahead : int, default 16 The number of batches to read ahead in a file. This might not work for all file formats. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_readahead : int, default 4 The number of files to read ahead. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_scan_options : FragmentScanOptions, default None Options specific to a particular scan and fragment type, which can change between different scans of the same dataset. use_threads : bool, default True If enabled, then maximum parallelism will be used determined by the number of available CPU cores. cache_metadata : bool, default True If enabled, metadata may be cached when scanning to speed up repeated scans. memory_pool : MemoryPool, default None For memory allocations, if required. If not specified, uses the default pool.Scanner.from_fragment(Fragment fragment, *, Schema schema=None, columns=None, Expression filter=None, int batch_size=_DEFAULT_BATCH_SIZE, int batch_readahead=_DEFAULT_BATCH_READAHEAD, int fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD, FragmentScanOptions fragment_scan_options=None, bool use_threads=True, bool cache_metadata=True, MemoryPool memory_pool=None) Create Scanner from Fragment, Parameters ---------- fragment : Fragment fragment to scan. schema : Schema, optional The schema of the fragment. columns : list[str] or dict[str, Expression], default None The columns to project. This can be a list of column names to include (order and duplicates will be preserved), or a dictionary with {new_column_name: expression} values for more advanced projections. The list of columns or expressions may use the special fields `__batch_index` (the index of the batch within the fragment), `__fragment_index` (the index of the fragment within the dataset), `__last_in_fragment` (whether the batch is last in fragment), and `__filename` (the name of the source file or a description of the source fragment). The columns will be passed down to Datasets and corresponding data fragments to avoid loading, copying, and deserializing columns that will not be required further down the compute chain. By default all of the available columns are projected. Raises an exception if any of the referenced column names does not exist in the dataset's Schema. filter : Expression, default None Scan will return only the rows matching the filter. If possible the predicate will be pushed down to exploit the partition information or internal metadata found in the data source, e.g. Parquet statistics. Otherwise filters the loaded RecordBatches before yielding them. batch_size : int, default 131_072 The maximum row count for scanned record batches. If scanned record batches are overflowing memory then this method can be called to reduce their size. batch_readahead : int, default 16 The number of batches to read ahead in a file. This might not work for all file formats. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_readahead : int, default 4 The number of files to read ahead. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_scan_options : FragmentScanOptions, default None Options specific to a particular scan and fragment type, which can change between different scans of the same dataset. use_threads : bool, default True If enabled, then maximum parallelism will be used determined by the number of available CPU cores. cache_metadata : bool, default True If enabled, metadata may be cached when scanning to speed up repeated scans. memory_pool : MemoryPool, default None For memory allocations, if required. If not specified, uses the default pool.Scanner.from_dataset(Dataset dataset, *, columns=None, filter=None, int batch_size=_DEFAULT_BATCH_SIZE, int batch_readahead=_DEFAULT_BATCH_READAHEAD, int fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD, FragmentScanOptions fragment_scan_options=None, bool use_threads=True, bool cache_metadata=True, MemoryPool memory_pool=None) Create Scanner from Dataset, Parameters ---------- dataset : Dataset Dataset to scan. columns : list[str] or dict[str, Expression], default None The columns to project. This can be a list of column names to include (order and duplicates will be preserved), or a dictionary with {new_column_name: expression} values for more advanced projections. The list of columns or expressions may use the special fields `__batch_index` (the index of the batch within the fragment), `__fragment_index` (the index of the fragment within the dataset), `__last_in_fragment` (whether the batch is last in fragment), and `__filename` (the name of the source file or a description of the source fragment). The columns will be passed down to Datasets and corresponding data fragments to avoid loading, copying, and deserializing columns that will not be required further down the compute chain. By default all of the available columns are projected. Raises an exception if any of the referenced column names does not exist in the dataset's Schema. filter : Expression, default None Scan will return only the rows matching the filter. If possible the predicate will be pushed down to exploit the partition information or internal metadata found in the data source, e.g. Parquet statistics. Otherwise filters the loaded RecordBatches before yielding them. batch_size : int, default 131_072 The maximum row count for scanned record batches. If scanned record batches are overflowing memory then this method can be called to reduce their size. batch_readahead : int, default 16 The number of batches to read ahead in a file. This might not work for all file formats. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_readahead : int, default 4 The number of files to read ahead. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_scan_options : FragmentScanOptions, default None Options specific to a particular scan and fragment type, which can change between different scans of the same dataset. use_threads : bool, default True If enabled, then maximum parallelism will be used determined by the number of available CPU cores. cache_metadata : bool, default True If enabled, metadata may be cached when scanning to speed up repeated scans. memory_pool : MemoryPool, default None For memory allocations, if required. If not specified, uses the default pool.TaggedRecordBatchIterator.__setstate_cython__(self, __pyx_state)TaggedRecordBatchIterator.__reduce_cython__(self)RecordBatchIterator.__setstate_cython__(self, __pyx_state)RecordBatchIterator.__reduce_cython__(self)UnionDatasetFactory.__setstate_cython__(self, __pyx_state)UnionDatasetFactory.__reduce_cython__(self)FileSystemDatasetFactory.__setstate_cython__(self, __pyx_state)FileSystemDatasetFactory.__reduce_cython__(self)FileSystemFactoryOptions.__setstate_cython__(self, __pyx_state)FileSystemFactoryOptions.__reduce_cython__(self)DatasetFactory.__setstate_cython__(self, __pyx_state)DatasetFactory.__reduce_cython__(self)DatasetFactory.finish(self, Schema schema=None) Create a Dataset using the inspected schema or an explicit schema (if given). Parameters ---------- schema : Schema, default None The schema to conform the source to. If None, the inspected schema is used. Returns ------- DatasetDatasetFactory.inspect(self) Inspect all data fragments and return a common Schema. Returns ------- SchemaDatasetFactory.inspect_schemas(self)FilenamePartitioning.discover(field_names=None, infer_dictionary=False, schema=None, segment_encoding='uri') Discover a FilenamePartitioning. Parameters ---------- field_names : list of str The names to associate with the values from the subdirectory names. If schema is given, will be populated from the schema. infer_dictionary : bool, default False When inferring a schema for partition fields, yield dictionary encoded types instead of plain types. This can be more efficient when materializing virtual columns, and Expressions parsed by the finished Partitioning will include dictionaries of all unique inspected values for each field. schema : Schema, default None Use this schema instead of inferring a schema from partition values. Partition values will be validated against this schema before accumulation into the Partitioning's dictionary. segment_encoding : str, default "uri" After splitting paths into segments, decode the segments. Valid values are "uri" (URI-decode segments) and "none" (leave as-is). Returns ------- PartitioningFactory To be used in the FileSystemFactoryOptions._constructor_filename_partitioning_factory(*args)HivePartitioning.discover(infer_dictionary=False, max_partition_dictionary_size=0, null_fallback='__HIVE_DEFAULT_PARTITION__', schema=None, segment_encoding='uri') Discover a HivePartitioning. Parameters ---------- infer_dictionary : bool, default False When inferring a schema for partition fields, yield dictionary encoded types instead of plain. This can be more efficient when materializing virtual columns, and Expressions parsed by the finished Partitioning will include dictionaries of all unique inspected values for each field. max_partition_dictionary_size : int, default 0 Synonymous with infer_dictionary for backwards compatibility with 1.0: setting this to -1 or None is equivalent to passing infer_dictionary=True. null_fallback : str, default "__HIVE_DEFAULT_PARTITION__" When inferring a schema for partition fields this value will be replaced by null. The default is set to __HIVE_DEFAULT_PARTITION__ for compatibility with Spark schema : Schema, default None Use this schema instead of inferring a schema from partition values. Partition values will be validated against this schema before accumulation into the Partitioning's dictionary. segment_encoding : str, default "uri" After splitting paths into segments, decode the segments. Valid values are "uri" (URI-decode segments) and "none" (leave as-is). Returns ------- PartitioningFactory To be used in the FileSystemFactoryOptions.HivePartitioning.__reduce__(self)_constructor_hive_partitioning_factory(*args)DirectoryPartitioning.discover(field_names=None, infer_dictionary=False, max_partition_dictionary_size=0, schema=None, segment_encoding='uri') Discover a DirectoryPartitioning. Parameters ---------- field_names : list of str The names to associate with the values from the subdirectory names. If schema is given, will be populated from the schema. infer_dictionary : bool, default False When inferring a schema for partition fields, yield dictionary encoded types instead of plain types. This can be more efficient when materializing virtual columns, and Expressions parsed by the finished Partitioning will include dictionaries of all unique inspected values for each field. max_partition_dictionary_size : int, default 0 Synonymous with infer_dictionary for backwards compatibility with 1.0: setting this to -1 or None is equivalent to passing infer_dictionary=True. schema : Schema, default None Use this schema instead of inferring a schema from partition values. Partition values will be validated against this schema before accumulation into the Partitioning's dictionary. segment_encoding : str, default "uri" After splitting paths into segments, decode the segments. Valid values are "uri" (URI-decode segments) and "none" (leave as-is). Returns ------- PartitioningFactory To be used in the FileSystemFactoryOptions._constructor_directory_partitioning_factory(*args)KeyValuePartitioning.__reduce__(self)PartitioningFactory.__reduce__(self)Partitioning.__setstate_cython__(self, __pyx_state)Partitioning.__reduce_cython__(self)Partitioning.format(self, expr) Convert a filter expression into a tuple of (directory, filename) using the current partitioning scheme Parameters ---------- expr : pyarrow.dataset.Expression Returns ------- tuple[str, str] Examples -------- Specify the Schema for paths like "/2009/June": >>> import pyarrow as pa >>> import pyarrow.dataset as ds >>> import pyarrow.compute as pc >>> part = ds.partitioning(pa.schema([("year", pa.int16()), ... ("month", pa.string())])) >>> part.format( ... (pc.field("year") == 1862) & (pc.field("month") == "Jan") ... ) ('1862/Jan', '')Partitioning.parse(self, path) Parse a path into a partition expression. Parameters ---------- path : str Returns ------- pyarrow.dataset.ExpressionJsonFragmentScanOptions.__reduce__(self)JsonFragmentScanOptions.equals(self, JsonFragmentScanOptions other) Parameters ---------- other : pyarrow.dataset.JsonFragmentScanOptions Returns ------- boolJsonFileFormat.__reduce__(self)JsonFileFormat.equals(self, JsonFileFormat other) Parameters ---------- other : pyarrow.dataset.JsonFileFormat Returns ------- boolCsvFileWriteOptions.__setstate_cython__(self, __pyx_state)CsvFileWriteOptions.__reduce_cython__(self)CsvFragmentScanOptions.__reduce__(self)CsvFragmentScanOptions.equals(self, CsvFragmentScanOptions other) Parameters ---------- other : pyarrow.dataset.CsvFragmentScanOptions Returns ------- boolCsvFileFormat.__reduce__(self)CsvFileFormat.equals(self, CsvFileFormat other) Parameters ---------- other : pyarrow.dataset.CsvFileFormat Returns ------- boolCsvFileFormat.make_write_options(self, **kwargs) Parameters ---------- **kwargs : dict Returns ------- pyarrow.csv.WriteOptionsIpcFileFormat.__reduce__(self)IpcFileFormat.make_write_options(self, **kwargs) Parameters ---------- **kwargs : dict Returns ------- pyarrow.ipc.IpcWriteOptionsIpcFileFormat.equals(self, IpcFileFormat other) Parameters ---------- other : pyarrow.dataset.IpcFileFormat Returns ------- TrueIpcFileWriteOptions.__setstate_cython__(self, __pyx_state)IpcFileWriteOptions.__reduce_cython__(self)FragmentScanOptions.__setstate_cython__(self, __pyx_state)FragmentScanOptions.__reduce_cython__(self)FileFragment.open(self) Open a NativeFile of the buffer or file viewed by this fragment.FileFragment.__reduce__(self)Fragment.__setstate_cython__(self, __pyx_state)Fragment.__reduce_cython__(self)Fragment.count_rows(self, Expression filter=None, int batch_size=_DEFAULT_BATCH_SIZE, int batch_readahead=_DEFAULT_BATCH_READAHEAD, int fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD, FragmentScanOptions fragment_scan_options=None, bool use_threads=True, bool cache_metadata=True, MemoryPool memory_pool=None) Count rows matching the scanner filter. Parameters ---------- filter : Expression, default None Scan will return only the rows matching the filter. If possible the predicate will be pushed down to exploit the partition information or internal metadata found in the data source, e.g. Parquet statistics. Otherwise filters the loaded RecordBatches before yielding them. batch_size : int, default 131_072 The maximum row count for scanned record batches. If scanned record batches are overflowing memory then this method can be called to reduce their size. batch_readahead : int, default 16 The number of batches to read ahead in a file. This might not work for all file formats. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_readahead : int, default 4 The number of files to read ahead. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_scan_options : FragmentScanOptions, default None Options specific to a particular scan and fragment type, which can change between different scans of the same dataset. use_threads : bool, default True If enabled, then maximum parallelism will be used determined by the number of available CPU cores. cache_metadata : bool, default True If enabled, metadata may be cached when scanning to speed up repeated scans. memory_pool : MemoryPool, default None For memory allocations, if required. If not specified, uses the default pool. Returns ------- count : intFragment.head(self, int num_rows, columns=None, Expression filter=None, int batch_size=_DEFAULT_BATCH_SIZE, int batch_readahead=_DEFAULT_BATCH_READAHEAD, int fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD, FragmentScanOptions fragment_scan_options=None, bool use_threads=True, bool cache_metadata=True, MemoryPool memory_pool=None) Load the first N rows of the fragment. Parameters ---------- num_rows : int The number of rows to load. columns : list of str, default None The columns to project. This can be a list of column names to include (order and duplicates will be preserved), or a dictionary with {new_column_name: expression} values for more advanced projections. The list of columns or expressions may use the special fields `__batch_index` (the index of the batch within the fragment), `__fragment_index` (the index of the fragment within the dataset), `__last_in_fragment` (whether the batch is last in fragment), and `__filename` (the name of the source file or a description of the source fragment). The columns will be passed down to Datasets and corresponding data fragments to avoid loading, copying, and deserializing columns that will not be required further down the compute chain. By default all of the available columns are projected. Raises an exception if any of the referenced column names does not exist in the dataset's Schema. filter : Expression, default None Scan will return only the rows matching the filter. If possible the predicate will be pushed down to exploit the partition information or internal metadata found in the data source, e.g. Parquet statistics. Otherwise filters the loaded RecordBatches before yielding them. batch_size : int, default 131_072 The maximum row count for scanned record batches. If scanned record batches are overflowing memory then this method can be called to reduce their size. batch_readahead : int, default 16 The number of batches to read ahead in a file. This might not work for all file formats. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_readahead : int, default 4 The number of files to read ahead. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_scan_options : FragmentScanOptions, default None Options specific to a particular scan and fragment type, which can change between different scans of the same dataset. use_threads : bool, default True If enabled, then maximum parallelism will be used determined by the number of available CPU cores. cache_metadata : bool, default True If enabled, metadata may be cached when scanning to speed up repeated scans. memory_pool : MemoryPool, default None For memory allocations, if required. If not specified, uses the default pool. Returns ------- TableFragment.take(self, indices, columns=None, Expression filter=None, int batch_size=_DEFAULT_BATCH_SIZE, int batch_readahead=_DEFAULT_BATCH_READAHEAD, int fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD, FragmentScanOptions fragment_scan_options=None, bool use_threads=True, bool cache_metadata=True, MemoryPool memory_pool=None) Select rows of data by index. Parameters ---------- indices : Array or array-like The indices of row to select in the dataset. columns : list of str, default None The columns to project. This can be a list of column names to include (order and duplicates will be preserved), or a dictionary with {new_column_name: expression} values for more advanced projections. The list of columns or expressions may use the special fields `__batch_index` (the index of the batch within the fragment), `__fragment_index` (the index of the fragment within the dataset), `__last_in_fragment` (whether the batch is last in fragment), and `__filename` (the name of the source file or a description of the source fragment). The columns will be passed down to Datasets and corresponding data fragments to avoid loading, copying, and deserializing columns that will not be required further down the compute chain. By default all of the available columns are projected. Raises an exception if any of the referenced column names does not exist in the dataset's Schema. filter : Expression, default None Scan will return only the rows matching the filter. If possible the predicate will be pushed down to exploit the partition information or internal metadata found in the data source, e.g. Parquet statistics. Otherwise filters the loaded RecordBatches before yielding them. batch_size : int, default 131_072 The maximum row count for scanned record batches. If scanned record batches are overflowing memory then this method can be called to reduce their size. batch_readahead : int, default 16 The number of batches to read ahead in a file. This might not work for all file formats. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_readahead : int, default 4 The number of files to read ahead. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_scan_options : FragmentScanOptions, default None Options specific to a particular scan and fragment type, which can change between different scans of the same dataset. use_threads : bool, default True If enabled, then maximum parallelism will be used determined by the number of available CPU cores. cache_metadata : bool, default True If enabled, metadata may be cached when scanning to speed up repeated scans. memory_pool : MemoryPool, default None For memory allocations, if required. If not specified, uses the default pool. Returns ------- TableFragment.to_table(self, Schema schema=None, columns=None, Expression filter=None, int batch_size=_DEFAULT_BATCH_SIZE, int batch_readahead=_DEFAULT_BATCH_READAHEAD, int fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD, FragmentScanOptions fragment_scan_options=None, bool use_threads=True, bool cache_metadata=True, MemoryPool memory_pool=None) Convert this Fragment into a Table. Use this convenience utility with care. This will serially materialize the Scan result in memory before creating the Table. Parameters ---------- schema : Schema, optional Concrete schema to use for scanning. columns : list of str, default None The columns to project. This can be a list of column names to include (order and duplicates will be preserved), or a dictionary with {new_column_name: expression} values for more advanced projections. The list of columns or expressions may use the special fields `__batch_index` (the index of the batch within the fragment), `__fragment_index` (the index of the fragment within the dataset), `__last_in_fragment` (whether the batch is last in fragment), and `__filename` (the name of the source file or a description of the source fragment). The columns will be passed down to Datasets and corresponding data fragments to avoid loading, copying, and deserializing columns that will not be required further down the compute chain. By default all of the available columns are projected. Raises an exception if any of the referenced column names does not exist in the dataset's Schema. filter : Expression, default None Scan will return only the rows matching the filter. If possible the predicate will be pushed down to exploit the partition information or internal metadata found in the data source, e.g. Parquet statistics. Otherwise filters the loaded RecordBatches before yielding them. batch_size : int, default 131_072 The maximum row count for scanned record batches. If scanned record batches are overflowing memory then this method can be called to reduce their size. batch_readahead : int, default 16 The number of batches to read ahead in a file. This might not work for all file formats. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_readahead : int, default 4 The number of files to read ahead. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_scan_options : FragmentScanOptions, default None Options specific to a particular scan and fragment type, which can change between different scans of the same dataset. use_threads : bool, default True If enabled, then maximum parallelism will be used determined by the number of available CPU cores. cache_metadata : bool, default True If enabled, metadata may be cached when scanning to speed up repeated scans. memory_pool : MemoryPool, default None For memory allocations, if required. If not specified, uses the default pool. Returns ------- table : TableFragment.to_batches(self, Schema schema=None, columns=None, Expression filter=None, int batch_size=_DEFAULT_BATCH_SIZE, int batch_readahead=_DEFAULT_BATCH_READAHEAD, int fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD, FragmentScanOptions fragment_scan_options=None, bool use_threads=True, bool cache_metadata=True, MemoryPool memory_pool=None) Read the fragment as materialized record batches. Parameters ---------- schema : Schema, optional Concrete schema to use for scanning. columns : list of str, default None The columns to project. This can be a list of column names to include (order and duplicates will be preserved), or a dictionary with {new_column_name: expression} values for more advanced projections. The list of columns or expressions may use the special fields `__batch_index` (the index of the batch within the fragment), `__fragment_index` (the index of the fragment within the dataset), `__last_in_fragment` (whether the batch is last in fragment), and `__filename` (the name of the source file or a description of the source fragment). The columns will be passed down to Datasets and corresponding data fragments to avoid loading, copying, and deserializing columns that will not be required further down the compute chain. By default all of the available columns are projected. Raises an exception if any of the referenced column names does not exist in the dataset's Schema. filter : Expression, default None Scan will return only the rows matching the filter. If possible the predicate will be pushed down to exploit the partition information or internal metadata found in the data source, e.g. Parquet statistics. Otherwise filters the loaded RecordBatches before yielding them. batch_size : int, default 131_072 The maximum row count for scanned record batches. If scanned record batches are overflowing memory then this method can be called to reduce their size. batch_readahead : int, default 16 The number of batches to read ahead in a file. This might not work for all file formats. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_readahead : int, default 4 The number of files to read ahead. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_scan_options : FragmentScanOptions, default None Options specific to a particular scan and fragment type, which can change between different scans of the same dataset. use_threads : bool, default True If enabled, then maximum parallelism will be used determined by the number of available CPU cores. cache_metadata : bool, default True If enabled, metadata may be cached when scanning to speed up repeated scans. memory_pool : MemoryPool, default None For memory allocations, if required. If not specified, uses the default pool. Returns ------- record_batches : iterator of RecordBatchFragment.scanner(self, Schema schema=None, columns=None, Expression filter=None, int batch_size=_DEFAULT_BATCH_SIZE, int batch_readahead=_DEFAULT_BATCH_READAHEAD, int fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD, FragmentScanOptions fragment_scan_options=None, bool use_threads=True, bool cache_metadata=True, MemoryPool memory_pool=None) Build a scan operation against the fragment. Data is not loaded immediately. Instead, this produces a Scanner, which exposes further operations (e.g. loading all data as a table, counting rows). Parameters ---------- schema : Schema Schema to use for scanning. This is used to unify a Fragment to its Dataset's schema. If not specified this will use the Fragment's physical schema which might differ for each Fragment. columns : list of str, default None The columns to project. This can be a list of column names to include (order and duplicates will be preserved), or a dictionary with {new_column_name: expression} values for more advanced projections. The list of columns or expressions may use the special fields `__batch_index` (the index of the batch within the fragment), `__fragment_index` (the index of the fragment within the dataset), `__last_in_fragment` (whether the batch is last in fragment), and `__filename` (the name of the source file or a description of the source fragment). The columns will be passed down to Datasets and corresponding data fragments to avoid loading, copying, and deserializing columns that will not be required further down the compute chain. By default all of the available columns are projected. Raises an exception if any of the referenced column names does not exist in the dataset's Schema. filter : Expression, default None Scan will return only the rows matching the filter. If possible the predicate will be pushed down to exploit the partition information or internal metadata found in the data source, e.g. Parquet statistics. Otherwise filters the loaded RecordBatches before yielding them. batch_size : int, default 131_072 The maximum row count for scanned record batches. If scanned record batches are overflowing memory then this method can be called to reduce their size. batch_readahead : int, default 16 The number of batches to read ahead in a file. This might not work for all file formats. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_readahead : int, default 4 The number of files to read ahead. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_scan_options : FragmentScanOptions, default None Options specific to a particular scan and fragment type, which can change between different scans of the same dataset. use_threads : bool, default True If enabled, then maximum parallelism will be used determined by the number of available CPU cores. cache_metadata : bool, default True If enabled, metadata may be cached when scanning to speed up repeated scans. memory_pool : MemoryPool, default None For memory allocations, if required. If not specified, uses the default pool. Returns ------- scanner : ScannerFileFormat.__setstate_cython__(self, __pyx_state)FileFormat.__reduce_cython__(self)FileFormat.make_write_options(self)FileFormat.make_fragment(self, file, filesystem=None, Expression partition_expression=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. 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 fragmentFileFormat.inspect(self, file, filesystem=None) Infer the schema of a file. Parameters ---------- file : file-like object, path-like or str The file or file path to infer a schema 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. Returns ------- schema : Schema The schema inferred from the fileFileWriteOptions.__setstate_cython__(self, __pyx_state)FileWriteOptions.__reduce_cython__(self)FileSystemDataset.from_paths(cls, paths, schema=None, format=None, filesystem=None, partitions=None, root_partition=None) A Dataset created from a list of paths on a particular filesystem. Parameters ---------- paths : list of str List of file paths to create the fragments from. schema : Schema The top-level schema of the DataDataset. format : FileFormat File format to create fragments from, currently only ParquetFileFormat, IpcFileFormat, CsvFileFormat, and JsonFileFormat are supported. filesystem : FileSystem The filesystem which files are from. partitions : list[Expression], optional Attach additional partition information for the file paths. root_partition : Expression, optional The top-level partition of the DataDataset.FileSystemDataset.__reduce__(self)UnionDataset.__reduce__(self)InMemoryDataset.__setstate_cython__(self, __pyx_state)InMemoryDataset.__reduce_cython__(self)Dataset.__setstate_cython__(self, __pyx_state)Dataset.__reduce_cython__(self)Dataset.join_asof(self, right_dataset, on, by, tolerance, right_on=None, right_by=None) Perform an asof join between this dataset and another one. This is similar to a left-join except that we match on nearest key rather than equal keys. Both datasets must be sorted by the key. This type of join is most useful for time series data that are not perfectly aligned. Optionally match on equivalent keys with "by" before searching with "on". Result of the join will be a new Dataset, where further operations can be applied. Parameters ---------- right_dataset : dataset The dataset to join to the current one, acting as the right dataset in the join operation. on : str The column from current dataset that should be used as the "on" key of the join operation left side. An inexact match is used on the "on" key, i.e. a row is considered a match if and only if left_on - tolerance <= right_on <= left_on. The input table must be sorted by the "on" key. Must be a single field of a common type. Currently, the "on" key must be an integer, date, or timestamp type. by : str or list[str] The columns from current dataset that should be used as the keys of the join operation left side. The join operation is then done only for the matches in these columns. tolerance : int The tolerance for inexact "on" key matching. A right row is considered a match with the left row `right.on - left.on <= tolerance`. The `tolerance` may be: - negative, in which case a past-as-of-join occurs; - or positive, in which case a future-as-of-join occurs; - or zero, in which case an exact-as-of-join occurs. The tolerance is interpreted in the same units as the "on" key. right_on : str or list[str], default None The columns from the right_dataset that should be used as the on key on the join operation right side. When ``None`` use the same key name as the left dataset. right_by : str or list[str], default None The columns from the right_dataset that should be used as by keys on the join operation right side. When ``None`` use the same key names as the left dataset. Returns ------- InMemoryDatasetDataset.join(self, right_dataset, keys, right_keys=None, join_type='left outer', left_suffix=None, right_suffix=None, coalesce_keys=True, use_threads=True) Perform a join between this dataset and another one. Result of the join will be a new dataset, where further operations can be applied. Parameters ---------- right_dataset : dataset The dataset to join to the current one, acting as the right dataset in the join operation. keys : str or list[str] The columns from current dataset that should be used as keys of the join operation left side. right_keys : str or list[str], default None The columns from the right_dataset that should be used as keys on the join operation right side. When ``None`` use the same key names as the left dataset. join_type : str, default "left outer" The kind of join that should be performed, one of ("left semi", "right semi", "left anti", "right anti", "inner", "left outer", "right outer", "full outer") left_suffix : str, default None Which suffix to add to right column names. This prevents confusion when the columns in left and right datasets have colliding names. right_suffix : str, default None Which suffix to add to the left column names. This prevents confusion when the columns in left and right datasets have colliding names. coalesce_keys : bool, default True If the duplicated keys should be omitted from one of the sides in the join result. use_threads : bool, default True Whenever to use multithreading or not. Returns ------- InMemoryDatasetDataset.sort_by(self, sorting, **kwargs) Sort the Dataset by one or multiple columns. Parameters ---------- sorting : str or list[tuple(name, order)] Name of the column to use to sort (ascending), or a list of multiple sorting conditions where each entry is a tuple with column name and sorting order ("ascending" or "descending") **kwargs : dict, optional Additional sorting options. As allowed by :class:`SortOptions` Returns ------- InMemoryDataset A new dataset sorted according to the sort keys.Dataset.filter(self, expression) Apply a row filter to the dataset. Parameters ---------- expression : Expression The filter that should be applied to the dataset. Returns ------- DatasetDataset.count_rows(self, Expression filter=None, int batch_size=_DEFAULT_BATCH_SIZE, int batch_readahead=_DEFAULT_BATCH_READAHEAD, int fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD, FragmentScanOptions fragment_scan_options=None, bool use_threads=True, bool cache_metadata=True, MemoryPool memory_pool=None) Count rows matching the scanner filter. Parameters ---------- filter : Expression, default None Scan will return only the rows matching the filter. If possible the predicate will be pushed down to exploit the partition information or internal metadata found in the data source, e.g. Parquet statistics. Otherwise filters the loaded RecordBatches before yielding them. batch_size : int, default 131_072 The maximum row count for scanned record batches. If scanned record batches are overflowing memory then this method can be called to reduce their size. batch_readahead : int, default 16 The number of batches to read ahead in a file. This might not work for all file formats. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_readahead : int, default 4 The number of files to read ahead. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_scan_options : FragmentScanOptions, default None Options specific to a particular scan and fragment type, which can change between different scans of the same dataset. use_threads : bool, default True If enabled, then maximum parallelism will be used determined by the number of available CPU cores. cache_metadata : bool, default True If enabled, metadata may be cached when scanning to speed up repeated scans. memory_pool : MemoryPool, default None For memory allocations, if required. If not specified, uses the default pool. Returns ------- count : intDataset.head(self, int num_rows, columns=None, Expression filter=None, int batch_size=_DEFAULT_BATCH_SIZE, int batch_readahead=_DEFAULT_BATCH_READAHEAD, int fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD, FragmentScanOptions fragment_scan_options=None, bool use_threads=True, bool cache_metadata=True, MemoryPool memory_pool=None) Load the first N rows of the dataset. Parameters ---------- num_rows : int The number of rows to load. columns : list of str, default None The columns to project. This can be a list of column names to include (order and duplicates will be preserved), or a dictionary with {new_column_name: expression} values for more advanced projections. The list of columns or expressions may use the special fields `__batch_index` (the index of the batch within the fragment), `__fragment_index` (the index of the fragment within the dataset), `__last_in_fragment` (whether the batch is last in fragment), and `__filename` (the name of the source file or a description of the source fragment). The columns will be passed down to Datasets and corresponding data fragments to avoid loading, copying, and deserializing columns that will not be required further down the compute chain. By default all of the available columns are projected. Raises an exception if any of the referenced column names does not exist in the dataset's Schema. filter : Expression, default None Scan will return only the rows matching the filter. If possible the predicate will be pushed down to exploit the partition information or internal metadata found in the data source, e.g. Parquet statistics. Otherwise filters the loaded RecordBatches before yielding them. batch_size : int, default 131_072 The maximum row count for scanned record batches. If scanned record batches are overflowing memory then this method can be called to reduce their size. batch_readahead : int, default 16 The number of batches to read ahead in a file. This might not work for all file formats. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_readahead : int, default 4 The number of files to read ahead. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_scan_options : FragmentScanOptions, default None Options specific to a particular scan and fragment type, which can change between different scans of the same dataset. use_threads : bool, default True If enabled, then maximum parallelism will be used determined by the number of available CPU cores. cache_metadata : bool, default True If enabled, metadata may be cached when scanning to speed up repeated scans. memory_pool : MemoryPool, default None For memory allocations, if required. If not specified, uses the default pool. Returns ------- table : TableDataset.take(self, indices, columns=None, Expression filter=None, int batch_size=_DEFAULT_BATCH_SIZE, int batch_readahead=_DEFAULT_BATCH_READAHEAD, int fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD, FragmentScanOptions fragment_scan_options=None, bool use_threads=True, bool cache_metadata=True, MemoryPool memory_pool=None) Select rows of data by index. Parameters ---------- indices : Array or array-like indices of rows to select in the dataset. columns : list of str, default None The columns to project. This can be a list of column names to include (order and duplicates will be preserved), or a dictionary with {new_column_name: expression} values for more advanced projections. The list of columns or expressions may use the special fields `__batch_index` (the index of the batch within the fragment), `__fragment_index` (the index of the fragment within the dataset), `__last_in_fragment` (whether the batch is last in fragment), and `__filename` (the name of the source file or a description of the source fragment). The columns will be passed down to Datasets and corresponding data fragments to avoid loading, copying, and deserializing columns that will not be required further down the compute chain. By default all of the available columns are projected. Raises an exception if any of the referenced column names does not exist in the dataset's Schema. filter : Expression, default None Scan will return only the rows matching the filter. If possible the predicate will be pushed down to exploit the partition information or internal metadata found in the data source, e.g. Parquet statistics. Otherwise filters the loaded RecordBatches before yielding them. batch_size : int, default 131_072 The maximum row count for scanned record batches. If scanned record batches are overflowing memory then this method can be called to reduce their size. batch_readahead : int, default 16 The number of batches to read ahead in a file. This might not work for all file formats. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_readahead : int, default 4 The number of files to read ahead. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_scan_options : FragmentScanOptions, default None Options specific to a particular scan and fragment type, which can change between different scans of the same dataset. use_threads : bool, default True If enabled, then maximum parallelism will be used determined by the number of available CPU cores. cache_metadata : bool, default True If enabled, metadata may be cached when scanning to speed up repeated scans. memory_pool : MemoryPool, default None For memory allocations, if required. If not specified, uses the default pool. Returns ------- table : TableDataset.to_table(self, columns=None, Expression filter=None, int batch_size=_DEFAULT_BATCH_SIZE, int batch_readahead=_DEFAULT_BATCH_READAHEAD, int fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD, FragmentScanOptions fragment_scan_options=None, bool use_threads=True, bool cache_metadata=True, MemoryPool memory_pool=None) Read the dataset to an Arrow table. Note that this method reads all the selected data from the dataset into memory. Parameters ---------- columns : list of str, default None The columns to project. This can be a list of column names to include (order and duplicates will be preserved), or a dictionary with {new_column_name: expression} values for more advanced projections. The list of columns or expressions may use the special fields `__batch_index` (the index of the batch within the fragment), `__fragment_index` (the index of the fragment within the dataset), `__last_in_fragment` (whether the batch is last in fragment), and `__filename` (the name of the source file or a description of the source fragment). The columns will be passed down to Datasets and corresponding data fragments to avoid loading, copying, and deserializing columns that will not be required further down the compute chain. By default all of the available columns are projected. Raises an exception if any of the referenced column names does not exist in the dataset's Schema. filter : Expression, default None Scan will return only the rows matching the filter. If possible the predicate will be pushed down to exploit the partition information or internal metadata found in the data source, e.g. Parquet statistics. Otherwise filters the loaded RecordBatches before yielding them. batch_size : int, default 131_072 The maximum row count for scanned record batches. If scanned record batches are overflowing memory then this method can be called to reduce their size. batch_readahead : int, default 16 The number of batches to read ahead in a file. This might not work for all file formats. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_readahead : int, default 4 The number of files to read ahead. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_scan_options : FragmentScanOptions, default None Options specific to a particular scan and fragment type, which can change between different scans of the same dataset. use_threads : bool, default True If enabled, then maximum parallelism will be used determined by the number of available CPU cores. cache_metadata : bool, default True If enabled, metadata may be cached when scanning to speed up repeated scans. memory_pool : MemoryPool, default None For memory allocations, if required. If not specified, uses the default pool. Returns ------- table : TableDataset.to_batches(self, columns=None, Expression filter=None, int batch_size=_DEFAULT_BATCH_SIZE, int batch_readahead=_DEFAULT_BATCH_READAHEAD, int fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD, FragmentScanOptions fragment_scan_options=None, bool use_threads=True, bool cache_metadata=True, MemoryPool memory_pool=None) Read the dataset as materialized record batches. Parameters ---------- columns : list of str, default None The columns to project. This can be a list of column names to include (order and duplicates will be preserved), or a dictionary with {new_column_name: expression} values for more advanced projections. The list of columns or expressions may use the special fields `__batch_index` (the index of the batch within the fragment), `__fragment_index` (the index of the fragment within the dataset), `__last_in_fragment` (whether the batch is last in fragment), and `__filename` (the name of the source file or a description of the source fragment). The columns will be passed down to Datasets and corresponding data fragments to avoid loading, copying, and deserializing columns that will not be required further down the compute chain. By default all of the available columns are projected. Raises an exception if any of the referenced column names does not exist in the dataset's Schema. filter : Expression, default None Scan will return only the rows matching the filter. If possible the predicate will be pushed down to exploit the partition information or internal metadata found in the data source, e.g. Parquet statistics. Otherwise filters the loaded RecordBatches before yielding them. batch_size : int, default 131_072 The maximum row count for scanned record batches. If scanned record batches are overflowing memory then this method can be called to reduce their size. batch_readahead : int, default 16 The number of batches to read ahead in a file. This might not work for all file formats. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_readahead : int, default 4 The number of files to read ahead. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_scan_options : FragmentScanOptions, default None Options specific to a particular scan and fragment type, which can change between different scans of the same dataset. use_threads : bool, default True If enabled, then maximum parallelism will be used determined by the number of available CPU cores. cache_metadata : bool, default True If enabled, metadata may be cached when scanning to speed up repeated scans. memory_pool : MemoryPool, default None For memory allocations, if required. If not specified, uses the default pool. Returns ------- record_batches : iterator of RecordBatchDataset.scanner(self, columns=None, filter=None, int batch_size=_DEFAULT_BATCH_SIZE, int batch_readahead=_DEFAULT_BATCH_READAHEAD, int fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD, FragmentScanOptions fragment_scan_options=None, bool use_threads=True, bool cache_metadata=True, MemoryPool memory_pool=None) Build a scan operation against the dataset. Data is not loaded immediately. Instead, this produces a Scanner, which exposes further operations (e.g. loading all data as a table, counting rows). See the :meth:`Scanner.from_dataset` method for further information. Parameters ---------- columns : list of str, default None The columns to project. This can be a list of column names to include (order and duplicates will be preserved), or a dictionary with {new_column_name: expression} values for more advanced projections. The list of columns or expressions may use the special fields `__batch_index` (the index of the batch within the fragment), `__fragment_index` (the index of the fragment within the dataset), `__last_in_fragment` (whether the batch is last in fragment), and `__filename` (the name of the source file or a description of the source fragment). The columns will be passed down to Datasets and corresponding data fragments to avoid loading, copying, and deserializing columns that will not be required further down the compute chain. By default all of the available columns are projected. Raises an exception if any of the referenced column names does not exist in the dataset's Schema. filter : Expression, default None Scan will return only the rows matching the filter. If possible the predicate will be pushed down to exploit the partition information or internal metadata found in the data source, e.g. Parquet statistics. Otherwise filters the loaded RecordBatches before yielding them. batch_size : int, default 131_072 The maximum row count for scanned record batches. If scanned record batches are overflowing memory then this method can be called to reduce their size. batch_readahead : int, default 16 The number of batches to read ahead in a file. This might not work for all file formats. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_readahead : int, default 4 The number of files to read ahead. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_scan_options : FragmentScanOptions, default None Options specific to a particular scan and fragment type, which can change between different scans of the same dataset. use_threads : bool, default True If enabled, then maximum parallelism will be used determined by the number of available CPU cores. cache_metadata : bool, default True If enabled, metadata may be cached when scanning to speed up repeated scans. memory_pool : MemoryPool, default None For memory allocations, if required. If not specified, uses the default pool. Returns ------- scanner : Scanner Examples -------- >>> import pyarrow as pa >>> table = pa.table({'year': [2020, 2022, 2021, 2022, 2019, 2021], ... 'n_legs': [2, 2, 4, 4, 5, 100], ... 'animal': ["Flamingo", "Parrot", "Dog", "Horse", ... "Brittle stars", "Centipede"]}) >>> >>> import pyarrow.parquet as pq >>> pq.write_table(table, "dataset_scanner.parquet") >>> import pyarrow.dataset as ds >>> dataset = ds.dataset("dataset_scanner.parquet") Selecting a subset of the columns: >>> dataset.scanner(columns=["year", "n_legs"]).to_table() pyarrow.Table year: int64 n_legs: int64 ---- year: [[2020,2022,2021,2022,2019,2021]] n_legs: [[2,2,4,4,5,100]] Projecting selected columns using an expression: >>> dataset.scanner(columns={ ... "n_legs_uint": ds.field("n_legs").cast("uint8"), ... }).to_table() pyarrow.Table n_legs_uint: uint8 ---- n_legs_uint: [[2,2,4,4,5,100]] Filtering rows while scanning: >>> dataset.scanner(filter=ds.field("year") > 2020).to_table() pyarrow.Table year: int64 n_legs: int64 animal: string ---- year: [[2022,2021,2022,2021]] n_legs: [[2,4,4,100]] animal: [["Parrot","Dog","Horse","Centipede"]]Dataset._scanner_options(self, options) Returns the default options to create a new Scanner. This is automatically invoked by :meth:`Dataset.scanner` and there is no need to use it.Dataset._get_fragments(self, Expression filter)Dataset.get_fragments(self, Expression filter=None) Returns an iterator over the fragments in this dataset. Parameters ---------- filter : Expression, default None Return fragments matching the optional filter, either using the partition_expression or internal information like Parquet's statistics. Returns ------- fragments : iterator of FragmentDataset.replace_schema(self, Schema schema) Return a copy of this Dataset with a different schema. The copy will view the same Fragments. If the new schema is not compatible with the original dataset's schema then an error will be raised. Parameters ---------- schema : Schema The new dataset schema._get_parquet_symbol(name) Get a symbol from pyarrow.parquet if the latter is importable, otherwise return None._get_parquet_classes() Import Parquet class files on first usage (to avoid circular import issue when `pyarrow._dataset_parquet` would be imported first)_get_orc_fileformat() Import OrcFileFormat on first usage (to avoid circular import issue when `pyarrow._dataset_orc` would be imported first)cannot construct a FileSource from Must provide schema to construct scanner from an iterableIf `default_fragment_scan_options` is given, cannot specify read_optionsCannot specify a schema when providing an object implementing the Arrow PyCapsule Protocol`default_fragment_scan_options` must be either a dictionary or an instance of JsonFragmentScanOptionsself.wrapped cannot be converted to a Python object for picklingself.scanner,self.wrapped cannot be converted to a Python object for picklingself.partitioning,self.wrapped cannot be converted to a Python object for picklingself.options cannot be converted to a Python object for picklingself.iterator cannot be converted to a Python object for picklingself.fragment,self.wrapped cannot be converted to a Python object for picklingself.factory,self.wrapped cannot be converted to a Python object for picklingself.factory,self.filesystem_factory,self.wrapped cannot be converted to a Python object for picklingself.dataset,self.wrapped cannot be converted to a Python object for picklingself.dataset,self.in_memory_dataset,self.wrapped cannot be converted to a Python object for picklingself.c_options,self.wrapped cannot be converted to a Python object for picklingmax_partition_dictionary_size must be 0, -1, or Noneexisting_data_behavior must be one of 'error', cannot construct a FileSource from a path without a FileSystemWriting datasets not yet implemented for this file format.UnionDatasetFactory.__setstate_cython__UnionDatasetFactory.__reduce_cython__The number of files resulting from paths_or_selector must be equal to the number of partitions.TaggedRecordBatchIterator.__setstate_cython__TaggedRecordBatchIterator.__reduce_cython__Retrieving fragments of a filtered or projected dataset is not allowed. Remove the filtering.RecordBatchIterator.__setstate_cython__RecordBatchIterator.__reduce_cython__Only one BoundExpressions with a single expression are supportedNote that Cython is deliberately stricter than PEP-484 and rejects subclasses of builtin types. If you need to pass subclasses then set the 'annotation_typing' directive to False.Neither field_names nor schema was passed; cannot infer field_namesMust provide schema to construct in-memory dataset from an empty listMust pass either paths or a FileSelector, but passed JsonFragmentScanOptions.__reduce__IpcFileWriteOptions.__setstate_cython__IpcFileWriteOptions.__reduce_cython__IpcFileFormat.make_write_optionsIncompatible checksums (0x%x vs (0x2aeeab1, 0xb9a0db3, 0x14f8208) = (metadata, path, size))InMemoryDataset.__setstate_cython__If `default_fragment_scan_options` is given, cannot specify convert_options or read_optionsFragmentScanOptions.__setstate_cython__FragmentScanOptions.__reduce_cython__FileWriteOptions.__setstate_cython__FileWriteOptions.__reduce_cython__FileSystemFactoryOptions.__setstate_cython__FileSystemFactoryOptions.__reduce_cython__FileSystemDatasetFactory.__setstate_cython__FileSystemDatasetFactory.__reduce_cython__Expected an Expression for a 'column' dictionary value, got Expected a list or a dict for 'columns', got Expected a list of tables or batches. The given list contains a Expected a Table, RecordBatch, list of Table/RecordBatch, or RecordBatchReader instead of the given type: Dataset is currently unstable. APIs subject to change without notice.DatasetFactory.__setstate_cython__CsvFileWriteOptions.__setstate_cython__CsvFileWriteOptions.__reduce_cython__CsvFileFormat.make_write_optionsCannot specify a schema when providing a RecordBatchReaderCannot set fragment scan options for 'Argument 'root_partition' has incorrect type (expected Expression, got A gU! 7$aq =Ja'9Q $a/|7! s!=1j q $7{!1^4q G5O7! q O2Q G1 q AqA Zq 4xwa 2]!4q^7"E  4~WBk ^1LBnAQ "!1 ?!qA4A/q@ 1 ) 1 Z4AQ AWAQgTa  )1 AWASE%%:!1"%q!-QoQ ,HAA4A/0/qH )c q +3a %Qa 1 ) 1 Z4AQ AWAQgTa  *A AWASE%%:!1"%q".aa ,A QACD%=Q%&*+-.@A'A-.x 0{. 81+.a/DAQ/7wd!++;1%A-.&B!&'01.BgQe1A which does not match expected schema _set_default_fragment_scan_optionsself.format,self.wrapped cannot be converted to a Python object for picklingself.factory,self.union_factory,self.wrapped cannot be converted to a Python object for picklingself.c_options,self.ipc_options,self.wrapped cannot be converted to a Python object for picklingself.c_options,self.csv_options,self.wrapped cannot be converted to a Python object for pickling'overwrite_or_ignore' or 'delete_matching'`default_fragment_scan_options` must be either a dictionary or an instance of CsvFragmentScanOptions_constructor_hive_partitioning_factory_constructor_filename_partitioning_factory_constructor_directory_partitioning_factory_ScanNodeOptions.__setstate_cython___ScanNodeOptions.__reduce_cython__InMemoryDataset.__reduce_cython__Expected a RecordBatchReader or an iterable of batches instead of the given type: CsvFragmentScanOptions.__reduce__ Convert a filter expression into a tuple of (directory, filename) using the current partitioning scheme Parameters ---------- expr : pyarrow.dataset.Expression Returns ------- tuple[str, str] Examples -------- Specify the Schema for paths like "/2009/June": >>> import pyarrow as pa >>> import pyarrow.dataset as ds >>> import pyarrow.compute as pc >>> part = ds.partitioning(pa.schema([("year", pa.int16()), ... ("month", pa.string())])) >>> part.format( ... (pc.field("year") == 1862) & (pc.field("month") == "Jan") ... ) ('1862/Jan', '') A combination of a record batch and the fragment it came from. Parameters ---------- record_batch : RecordBatch The record batch. fragment : Fragment Fragment of the record batch. A Source node which yields batches from a Dataset scan. This is the option class for the "scan" node factory. This node is capable of applying pushdown projections or filters to the file readers which reduce the amount of data that needs to be read (if supported by the file format). But note that this does not construct associated filter or project nodes to perform the final filtering or projection. Rather, you may supply the same filter expression or projection to the scan node that you also supply to the filter or project node. Yielded batches will be augmented with fragment/batch indices when implicit_ordering=True to enable stable ordering for simple ExecPlans. Parameters ---------- dataset : pyarrow.dataset.Dataset The table which acts as the data source. **kwargs : dict, optional Scan options. See `Scanner.from_dataset` for possible arguments. require_sequenced_output : bool, default False Batches are yielded sequentially, like single-threaded implicit_ordering : bool, default False Preserve implicit ordering of data. A.C1'a Q2 #":!6wfECqwgU#S!'q 1IQfG6hcq 1TDt1 G1F,avWA!qt:WEDgQq,D 7!,D 1Partitioning.__setstate_cython__JsonFragmentScanOptions.equalsDirectoryPartitioning.discoverDatasetFactory.inspect_schemasDatasetFactory.__reduce_cython__ Build a scan operation against the dataset. Data is not loaded immediately. Instead, this produces a Scanner, which exposes further operations (e.g. loading all data as a table, counting rows). See the :meth:`Scanner.from_dataset` method for further information. Parameters ---------- columns : list of str, default None The columns to project. This can be a list of column names to include (order and duplicates will be preserved), or a dictionary with {new_column_name: expression} values for more advanced projections. The list of columns or expressions may use the special fields `__batch_index` (the index of the batch within the fragment), `__fragment_index` (the index of the fragment within the dataset), `__last_in_fragment` (whether the batch is last in fragment), and `__filename` (the name of the source file or a description of the source fragment). The columns will be passed down to Datasets and corresponding data fragments to avoid loading, copying, and deserializing columns that will not be required further down the compute chain. By default all of the available columns are projected. Raises an exception if any of the referenced column names does not exist in the dataset's Schema. filter : Expression, default None Scan will return only the rows matching the filter. If possible the predicate will be pushed down to exploit the partition information or internal metadata found in the data source, e.g. Parquet statistics. Otherwise filters the loaded RecordBatches before yielding them. batch_size : int, default 131_072 The maximum row count for scanned record batches. If scanned record batches are overflowing memory then this method can be called to reduce their size. batch_readahead : int, default 16 The number of batches to read ahead in a file. This might not work for all file formats. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_readahead : int, default 4 The number of files to read ahead. Increasing this number will increase RAM usage but could also improve IO utilization. fragment_scan_options : FragmentScanOptions, default None Options specific to a particular scan and fragment type, which can change between different scans of the same dataset. use_threads : bool, default True If enabled, then maximum parallelism will be used determined by the number of available CPU cores. cache_metadata : bool, default True If enabled, metadata may be cached when scanning to speed up repeated scans. memory_pool : MemoryPool, default None For memory allocations, if required. If not specified, uses the default pool. Returns ------- scanner : Scanner Examples -------- >>> import pyarrow as pa >>> table = pa.table({'year': [2020, 2022, 2021, 2022, 2019, 2021], ... 'n_legs': [2, 2, 4, 4, 5, 100], ... 'animal': ["Flamingo", "Parrot", "Dog", "Horse", ... "Brittle stars", "Centipede"]}) >>> >>> import pyarrow.parquet as pq >>> pq.write_table(table, "dataset_scanner.parquet") >>> import pyarrow.dataset as ds >>> dataset = ds.dataset("dataset_scanner.parquet") Selecting a subset of the columns: >>> dataset.scanner(columns=["year", "n_legs"]).to_table() pyarrow.Table year: int64 n_legs: int64 ---- year: [[2020,2022,2021,2022,2019,2021]] n_legs: [[2,2,4,4,5,100]] Projecting selected columns using an expression: >>> dataset.scanner(columns={ ... "n_legs_uint": ds.field("n_legs").cast("uint8"), ... }).to_table() pyarrow.Table n_legs_uint: uint8 ---- n_legs_uint: [[2,2,4,4,5,100]] Filtering rows while scanning: >>> dataset.scanner(filter=ds.field("year") > 2020).to_table() pyarrow.Table year: int64 n_legs: int64 animal: string ---- year: [[2022,2021,2022,2021]] n_legs: [[2,4,4,100]] animal: [["Parrot","Dog","Horse","Centipede"]] max_partition_dictionary_sizedefault_fragment_scan_optionsWrittenFile.__setstate_cython__Partitioning.format (line 2578)KeyValuePartitioning.__reduce__FilenamePartitioning.discoverFileFormat.make_write_optionsCsvFragmentScanOptions.equals_ScanNodeOptions._set_optionsPartitioning.__reduce_cython__PartitioningFactory.__reduce__FileSystemDataset.from_pathsFileFormat.__setstate_cython__C?RSp 9Cq q 9Cq qt2(t1)8 !)4LA$%#$$%)*,-?@&@,-| ,A 'A!$$8 A 0 A'q+.awgT.BgQe1Ato_batches.._iterator' has incorrect type (expected WrittenFile.__reduce_cython__at=I^1At1 1 4q1Dxq1 $-->a &,?~Qq  aA Q^4q ?'d+WA !4z$aQd!-QgQqA !"$%78!"$%z t81 A 1 q A q "!  1  aqselector_ignore_prefixesrequire_sequenced_output__pyx_unpickle_WrittenFilepyarrow._dataset_parquethkA ^1!!@BBC;haq|7!-QnN! 1Unknown segment encoding: Fragment.__reduce_cython__FileSystemFactoryOptionsFileSystemDatasetFactoryFileFormat.make_fragmentDataset.scanner (line 295)Dataset._scanner_optionsA +! #1 31IQ!T2Na,d!+@ HF! t3CC]]^_filesystemdataset_writeScanner.__reduce_cython__-Q67#$. 1 #1$AV$%'(*+z wnA 1 A 1 q A q "!  1  Aexisting_data_behaviorScanNodeOptions.__init__IpcFileFormat.__reduce____HIVE_DEFAULT_PARTITION__Dataset.replace_schemaDataset._get_fragmentsDatasetFactory.inspectCsvFragmentScanOptionsCsvFileFormat.__reduce__A *q a'$%'(*+v t81 A 1 q A q "!  1  AA "# $%'(:;!"$%'(F wnA 1 A 1 q A q "!  1 pyarrow/_dataset.pyxpyarrow._dataset_orcpartitioning_factorypartition_expression_forbid_instantiationScanner.scan_batchesScanner.from_datasetScanner.from_batchesKeyValuePartitioningIpcFileFormat.equalsFilenamePartitioningCsvFileFormat.equalsoverwrite_or_ignore_get_parquet_classesUnionDatasetFactoryRecordBatchIteratorPartitioning.formatPartitioningFactoryParquetFileFragmentNotImplementedErrorIpcFileWriteOptionsFragment.to_batchesFragment.count_rowsFragmentScanOptionsCsvFileWriteOptionsA !#$ !%&();<"#%&()@ t81 1 A 1 q A q "!  1  !A%&"#'(*+=>$%'(*+P t81 1 q A q "!  1  Asubclasses_insteadpartition_base_dirmin_rows_per_groupmax_rows_per_groupmake_write_optionsget_partition_keys_get_parquet_symbol_get_orc_fileformatfragment_readaheadcline_in_tracebackasyncio.coroutinesScanner.to_batchesScanner.count_rowsPartitioning.parseFileFormat.inspectDataset.to_batchesDataset.count_rows_DEFAULT_BATCH_SIZE33C1,,@N ;c t2^1 vV?!  ]!  ^1 'q$ $#4AV;QQR  t7(!1>!"!4qpyarrow.substrait_perform_join_asofpaths_or_selectormax_rows_per_fileimplicit_orderingbasename_templateTaggedRecordBatchScanner.to_readerScanNodeOptionsRecordBatchReaderParquetFileFormatFragment.to_tableFileSystemDatasetFileFragment.openFeatherFileFormatDataset.join_asofA  $%'(:;!"$%'(^ wm1 A 1 q A q "!  1 A !#$ !%&();<"#%&()| t81 A 1 q A q "!  1  !A( :Qiq b d"M ,/zAqsp_write_optionssegment_encodingrequested_filterpyarrow._datasetpyarrow._computeinfer_dictionaryfiltered_datasetScanner.to_tableJsonFileFormatHivePartitioningFragment.scannerFileWriteOptionsDataset.to_tableBoundExpressionsA( 4z)2Q baq(  T!6!.__setstate_cython___scanner_options_read_options_py__pyx_PickleError qMQa y}IQfAA4w&:! 4s#Q %QuAQ t1 -Q aa a A 1_stringify_pathscan_optionsroot_partitionreplace_schemapreserve_order_orc_fileformatmaybe_fragmentmax_partitionsmax_open_filescurrent_filtercache_metadatac_scan_options__arrow_c_stream__.a 4~T*G1 *A t?!1DictionaryTypeDataset.filterDatasetFactoryAssertionErrorArrowTypeErrorA t1N!4x|1(QfDA T! Eq 7!.aqqA "(!1jat83Gqqwrite_optionsright_dataset__reduce_cython__parse_optionsnull_fallbackmake_fragment_get_fragmentsfrom_fragmentcoalesce_keys__class_getitem__c_field_namesStopIterationOrcFileFormatIpcFileFormatFragment.takeFragment.headCsvFileFormatuse_setstatestaticmethod_scan_optionsscan_batchesright_suffixrecord_batchread_options__pyx_checksumpyarrow.util_perform_joinpartitioningpa_substrait_orc_imported_is_path_like_is_coroutine_initializingfrom_datasetfrom_batchesfile_visitorfile_optionsdictionariesc_filesystemUnionDatasetScanner.takeScanner.headPartitioningFileFragmentDataset.takeDataset.joinDataset.headBufferReaderuse_threads_sort_source_set_optionspyarrow.liboutput_typenew_options__mro_entries__memory_poolleft_suffix_is_iterablefrom_streamfield_namesexpressionscollectionsc_fragmentsWrittenFileRecordBatchPickleErrorImportErrorvisit_argsto_batchesright_keys__pyx_vtable____pyx_resultpartitionsnew_filternamedtupleleft outeriteratorfrom_pathsfilesystemexpression_dataset_pqcreate_dircount_rowsc_fragmentbatch_sizebatch_iterValueErrorFileFormatA !  WAU/ gQe1type_nametoleranceto_readersubstraitsp_schemasort_keys__reduce_ex____pyx_state partition=[__metaclass__join_typejoin_asofisenabled instead.in-memoryfrombytesfragmentsfile_sizefactoriesenumeratedirectoryc_scannerc_optionsc_indicesascendingTypeErrorA !  q-?q  WAU!A "*,?q _CqqA gQe+;1 /q to_table__setstate____set_name__right_onright_by__qualname____pyx_typenum_rowsmetadata_iterator__getstate__fragmentfilenamediscoverchildrenc_sourcec_schemac_resultc_filterbase_diradd_noteFragmentArgument 'A a31QA T1~QaAQt7!  :Q  tobytessortingsort_byschemasscannerref_valpyarrow__prepare__parquetoptions insteadinspectindicesfeatherdisabledatasetcolumnsclass_builderScannerDatasetA "*,?q \Aqvaluesupdatetypesourceschema_scalarresult__reduce__readerpicklepathopened__name____module__lookupkwargsformatfinishfilterequalsenable_dictcodecsc_pathbufferAt1#1Ad)4qA ]&a~QaA Taq!.valueutf-8unionthrowsuperstate__slots__rangepathsparseothernamesitemserrorclose__class__batchas_pyarrowarrayTableArrayAt>QAq ^1    A T!.A T!"!>!A M)1A(A(,A type=__test__take__spec__sizesendselfread path=optsopen' on nonenextname__main__keysjsonjoin__init__hivehead__func__fileexpr__dict__datacopyargsNoneAe1zipvalurirespop_pacoutorc__new__ipc, got get__doc__csvclsarg)&?>]=, )A  y]!A qA)-=TA A 9Ba  00000vector::_M_default_appendzlllllvector::_M_realloc_insert h(p@0 Q`0St11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EEFN5arrow6ResultISt10shared_ptrINS_2io16RandomAccessFileEEEEvEN5arrow4util18EqualityComparableINS_7dataset12PartitioningEEESt19_Sp_make_shared_tagSt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EESt18bad_variant_accessN5arrow5acero15ExecNodeOptionsEN5arrow7dataset19FragmentScanOptionsEN5arrow7dataset12PartitioningEN5arrow7dataset15ScanNodeOptionsEN5arrow7dataset22CsvFragmentScanOptionsEN5arrow7dataset23JsonFragmentScanOptionsEPFN5arrow6ResultISt10shared_ptrINS_2io16RandomAccessFileEEEEvEN5arrow7dataset29FileSystemDatasetWriteOptions17writer_pre_finishMUlPNS0_10FileWriterEE_EN5arrow7dataset29FileSystemDatasetWriteOptions18writer_post_finishMUlPNS0_10FileWriterEE_EZN5arrow2py12BindFunctionIFNS_6StatusEPNS_7dataset10FileWriterEEvJS5_EEESt8functionIT_EPFT0_P7_objectDpT1_ESC_EUlS5_E_St23_Sp_counted_ptr_inplaceIN5arrow7dataset11ScanOptionsESaIvELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN5arrow7dataset15InMemoryDatasetESaIvELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN5arrow3ipc15IpcWriteOptionsELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN5arrow7dataset13IpcFileFormatELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN5arrow7dataset13CsvFileFormatELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN5arrow7dataset22CsvFragmentScanOptionsELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN5arrow3csv12WriteOptionsELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN5arrow7dataset14JsonFileFormatELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN5arrow7dataset23JsonFragmentScanOptionsELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN5arrow7dataset21DirectoryPartitioningESaIvELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN5arrow7dataset16HivePartitioningESaIvELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN5arrow7dataset20FilenamePartitioningESaIvELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN5arrow8IteratorISt10shared_ptrINS0_11RecordBatchEEEESaIvELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN5arrow8IteratorINS0_7dataset17TaggedRecordBatchEEESaIvELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN5arrow7dataset14ScannerBuilderESaIvELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN5arrow7dataset15ScanNodeOptionsELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN5arrow2py13BoundFunctionIFvP7_objectPNS0_7dataset10FileWriterEEEESaIvELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN5arrow8IteratorISt10shared_ptrINS0_7dataset8FragmentEEEESaIvELN9__gnu_cxx12_Lock_policyE2EE@?Constructed 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