SparkFilesystemDatasource
SparkFilesystemDatasource is a subclass of SparkDatasource which connects to the filesystem.
Add a csv asset to the datasource.
Add a delta asset to the datasource.
Add a directory_csv asset to the datasource.
Add a directory_delta asset to the datasource.
Add a directory_json asset to the datasource.
Add a directory_orc asset to the datasource.
Add a directory_parquet asset to the datasource.
Add a directory_text asset to the datasource.
Add a json asset to the datasource.
Add an orc asset to the datasource.
Add a parquet asset to the datasource.
Add a text asset to the datasource.
Removes the DataAsset referred to by asset_name from internal list of available DataAsset objects.
- Parameters
name – name of DataAsset to be deleted.
Returns the DataAsset referred to by asset_name
- Parameters
name – name of DataAsset sought.
- Returns
_DataAssetT – if named "DataAsset" object exists; otherwise, exception is raised.
Signature
class great_expectations.datasource.fluent.SparkFilesystemDatasource(&42;, type: Literal['spark_filesystem'] = 'spark_filesystem', name: str, id: Optional[uuid.UUID] = None, assets: List[Union[great_expectations.datasource.fluent.data_asset.path.spark.csv_asset.CSVAsset, great_expectations.datasource.fluent.data_asset.path.spark.csv_asset.DirectoryCSVAsset, great_expectations.datasource.fluent.data_asset.path.spark.parquet_asset.ParquetAsset, great_expectations.datasource.fluent.data_asset.path.spark.parquet_asset.DirectoryParquetAsset, great_expectations.datasource.fluent.data_asset.path.spark.orc_asset.ORCAsset, great_expectations.datasource.fluent.data_asset.path.spark.orc_asset.DirectoryORCAsset, great_expectations.datasource.fluent.data_asset.path.spark.json_asset.JSONAsset, great_expectations.datasource.fluent.data_asset.path.spark.json_asset.DirectoryJSONAsset, great_expectations.datasource.fluent.data_asset.path.spark.text_asset.TextAsset, great_expectations.datasource.fluent.data_asset.path.spark.text_asset.DirectoryTextAsset, great_expectations.datasource.fluent.data_asset.path.spark.delta_asset.DeltaAsset, great_expectations.datasource.fluent.data_asset.path.spark.delta_asset.DirectoryDeltaAsset]] = [], spark_config: Optional[Dict[pydantic.v1.types.StrictStr, Union[pydantic.v1.types.StrictStr, pydantic.v1.types.StrictInt, pydantic.v1.types.StrictFloat, pydantic.v1.types.StrictBool]]] = None, force_reuse_spark_context: bool = True, persist: bool = True, base_directory: pathlib.Path, data_context_root_directory: Optional[pathlib.Path] = None)
Methods
Signature
add_csv_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f01a5eb9a60> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f01a5eb9b20> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f01a5eb9c70> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f01a5eb9e20> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f01a5eb9ee0> = None, pathGlobFilter: typing.Optional[typing.Union[bool, str]] = None, recursiveFileLookup: typing.Optional[typing.Union[bool, str]] = None, modifiedBefore: typing.Optional[typing.Union[bool, str]] = None, modifiedAfter: typing.Optional[typing.Union[bool, str]] = None, schema: typing.Optional[typing.Union[great_expectations.datasource.fluent.serializable_types.pyspark.SerializableStructType, str]] = None, sep: typing.Optional[str] = None, encoding: typing.Optional[str] = None, quote: typing.Optional[str] = None, escape: typing.Optional[str] = None, comment: typing.Optional[str] = None, header: typing.Optional[typing.Union[bool, str]] = None, inferSchema: typing.Optional[typing.Union[bool, str]] = None, ignoreLeadingWhiteSpace: typing.Optional[typing.Union[bool, str]] = None, ignoreTrailingWhiteSpace: typing.Optional[typing.Union[bool, str]] = None, nullValue: typing.Optional[str] = None, nanValue: typing.Optional[str] = None, positiveInf: typing.Optional[str] = None, negativeInf: typing.Optional[str] = None, dateFormat: typing.Optional[str] = None, timestampFormat: typing.Optional[str] = None, maxColumns: typing.Optional[typing.Union[int, str]] = None, maxCharsPerColumn: typing.Optional[typing.Union[int, str]] = None, maxMalformedLogPerPartition: typing.Optional[typing.Union[int, str]] = None, mode: typing.Optional[typing.Literal['PERMISSIVE', 'DROPMALFORMED', 'FAILFAST']] = None, columnNameOfCorruptRecord: typing.Optional[str] = None, multiLine: typing.Optional[typing.Union[bool, str]] = None, charToEscapeQuoteEscaping: typing.Optional[str] = None, samplingRatio: typing.Optional[typing.Union[float, str]] = None, enforceSchema: typing.Optional[typing.Union[bool, str]] = None, emptyValue: typing.Optional[str] = None, locale: typing.Optional[str] = None, lineSep: typing.Optional[str] = None, unescapedQuoteHandling: typing.Optional[typing.Literal['STOP_AT_CLOSING_QUOTE', 'BACK_TO_DELIMITER', 'STOP_AT_DELIMITER', 'SKIP_VALUE', 'RAISE_ERROR']] = None) → pydantic.BaseModel
Signature
add_delta_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f01a5edd9d0> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f01a5edda90> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f01a5eddbe0> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f01a5eddd90> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f01a5edde50> = None, timestampAsOf: typing.Optional[str] = None, versionAsOf: typing.Optional[str] = None) → pydantic.BaseModel
Signature
add_directory_csv_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f01a5edc1d0> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f01a5edc290> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f01a5edc3e0> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f01a5edc590> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f01a5edc650> = None, pathGlobFilter: typing.Optional[typing.Union[bool, str]] = None, recursiveFileLookup: typing.Optional[typing.Union[bool, str]] = None, modifiedBefore: typing.Optional[typing.Union[bool, str]] = None, modifiedAfter: typing.Optional[typing.Union[bool, str]] = None, schema: typing.Optional[typing.Union[great_expectations.datasource.fluent.serializable_types.pyspark.SerializableStructType, str]] = None, sep: typing.Optional[str] = None, encoding: typing.Optional[str] = None, quote: typing.Optional[str] = None, escape: typing.Optional[str] = None, comment: typing.Optional[str] = None, header: typing.Optional[typing.Union[bool, str]] = None, inferSchema: typing.Optional[typing.Union[bool, str]] = None, ignoreLeadingWhiteSpace: typing.Optional[typing.Union[bool, str]] = None, ignoreTrailingWhiteSpace: typing.Optional[typing.Union[bool, str]] = None, nullValue: typing.Optional[str] = None, nanValue: typing.Optional[str] = None, positiveInf: typing.Optional[str] = None, negativeInf: typing.Optional[str] = None, dateFormat: typing.Optional[str] = None, timestampFormat: typing.Optional[str] = None, maxColumns: typing.Optional[typing.Union[int, str]] = None, maxCharsPerColumn: typing.Optional[typing.Union[int, str]] = None, maxMalformedLogPerPartition: typing.Optional[typing.Union[int, str]] = None, mode: typing.Optional[typing.Literal['PERMISSIVE', 'DROPMALFORMED', 'FAILFAST']] = None, columnNameOfCorruptRecord: typing.Optional[str] = None, multiLine: typing.Optional[typing.Union[bool, str]] = None, charToEscapeQuoteEscaping: typing.Optional[str] = None, samplingRatio: typing.Optional[typing.Union[float, str]] = None, enforceSchema: typing.Optional[typing.Union[bool, str]] = None, emptyValue: typing.Optional[str] = None, locale: typing.Optional[str] = None, lineSep: typing.Optional[str] = None, unescapedQuoteHandling: typing.Optional[typing.Literal['STOP_AT_CLOSING_QUOTE', 'BACK_TO_DELIMITER', 'STOP_AT_DELIMITER', 'SKIP_VALUE', 'RAISE_ERROR']] = None, data_directory: pathlib.Path) → pydantic.BaseModel
Signature
add_directory_delta_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f01a5edec60> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f01a5eded20> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f01a5edee70> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f01a5edf020> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f01a5edf0e0> = None, timestampAsOf: typing.Optional[str] = None, versionAsOf: typing.Optional[str] = None, data_directory: pathlib.Path) → pydantic.BaseModel
Signature
add_directory_json_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f01a5d28b90> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f01a5d28c50> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f01a5d28da0> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f01a5d28f50> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f01a5d29010> = None, pathGlobFilter: typing.Optional[typing.Union[bool, str]] = None, recursiveFileLookup: typing.Optional[typing.Union[bool, str]] = None, modifiedBefore: typing.Optional[typing.Union[bool, str]] = None, modifiedAfter: typing.Optional[typing.Union[bool, str]] = None, schema: typing.Optional[typing.Union[great_expectations.datasource.fluent.serializable_types.pyspark.SerializableStructType, str]] = None, primitivesAsString: typing.Optional[typing.Union[bool, str]] = None, prefersDecimal: typing.Optional[typing.Union[bool, str]] = None, allowComments: typing.Optional[typing.Union[bool, str]] = None, allowUnquotedFieldNames: typing.Optional[typing.Union[bool, str]] = None, allowSingleQuotes: typing.Optional[typing.Union[bool, str]] = None, allowNumericLeadingZero: typing.Optional[typing.Union[bool, str]] = None, allowBackslashEscapingAnyCharacter: typing.Optional[typing.Union[bool, str]] = None, mode: typing.Optional[typing.Literal['PERMISSIVE', 'DROPMALFORMED', 'FAILFAST']] = None, columnNameOfCorruptRecord: typing.Optional[str] = None, dateFormat: typing.Optional[str] = None, timestampFormat: typing.Optional[str] = None, multiLine: typing.Optional[typing.Union[bool, str]] = None, allowUnquotedControlChars: typing.Optional[typing.Union[bool, str]] = None, lineSep: typing.Optional[str] = None, samplingRatio: typing.Optional[typing.Union[float, str]] = None, dropFieldIfAllNull: typing.Optional[typing.Union[bool, str]] = None, encoding: typing.Optional[str] = None, locale: typing.Optional[str] = None, allowNonNumericNumbers: typing.Optional[typing.Union[bool, str]] = None, data_directory: pathlib.Path) → pydantic.BaseModel
Signature
add_directory_orc_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f01a5d2bf80> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f01a5d2bf20> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f01a5d44110> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f01a5d440b0> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f01a5d44170> = None, pathGlobFilter: typing.Optional[typing.Union[bool, str]] = None, recursiveFileLookup: typing.Optional[typing.Union[bool, str]] = None, modifiedBefore: typing.Optional[typing.Union[bool, str]] = None, modifiedAfter: typing.Optional[typing.Union[bool, str]] = None, mergeSchema: typing.Optional[typing.Union[bool, str]] = False, data_directory: pathlib.Path) → pydantic.BaseModel
Signature
add_directory_parquet_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f01a5d44ce0> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f01a5d44dd0> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f01a5d44da0> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f01a5d44d10> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f01a5d446e0> = None, pathGlobFilter: typing.Optional[typing.Union[bool, str]] = None, recursiveFileLookup: typing.Optional[typing.Union[bool, str]] = None, modifiedBefore: typing.Optional[typing.Union[bool, str]] = None, modifiedAfter: typing.Optional[typing.Union[bool, str]] = None, mergeSchema: typing.Optional[typing.Union[bool, str]] = None, datetimeRebaseMode: typing.Optional[typing.Literal['EXCEPTION', 'CORRECTED', 'LEGACY']] = None, int96RebaseMode: typing.Optional[typing.Literal['EXCEPTION', 'CORRECTED', 'LEGACY']] = None, data_directory: pathlib.Path) → pydantic.BaseModel
Signature
add_directory_text_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f01a5d45be0> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f01a5d45c40> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f01a5d45b20> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f01a5d45910> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f01a5d45c10> = None, pathGlobFilter: typing.Optional[typing.Union[bool, str]] = None, recursiveFileLookup: typing.Optional[typing.Union[bool, str]] = None, modifiedBefore: typing.Optional[typing.Union[bool, str]] = None, modifiedAfter: typing.Optional[typing.Union[bool, str]] = None, wholetext: bool = False, lineSep: typing.Optional[str] = None, data_directory: pathlib.Path) → pydantic.BaseModel
Signature
add_json_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f01a5ef6570> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f01a5ef66c0> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f01a5ef6810> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f01a5ef69c0> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f01a5ef6a80> = None, pathGlobFilter: typing.Optional[typing.Union[bool, str]] = None, recursiveFileLookup: typing.Optional[typing.Union[bool, str]] = None, modifiedBefore: typing.Optional[typing.Union[bool, str]] = None, modifiedAfter: typing.Optional[typing.Union[bool, str]] = None, schema: typing.Optional[typing.Union[great_expectations.datasource.fluent.serializable_types.pyspark.SerializableStructType, str]] = None, primitivesAsString: typing.Optional[typing.Union[bool, str]] = None, prefersDecimal: typing.Optional[typing.Union[bool, str]] = None, allowComments: typing.Optional[typing.Union[bool, str]] = None, allowUnquotedFieldNames: typing.Optional[typing.Union[bool, str]] = None, allowSingleQuotes: typing.Optional[typing.Union[bool, str]] = None, allowNumericLeadingZero: typing.Optional[typing.Union[bool, str]] = None, allowBackslashEscapingAnyCharacter: typing.Optional[typing.Union[bool, str]] = None, mode: typing.Optional[typing.Literal['PERMISSIVE', 'DROPMALFORMED', 'FAILFAST']] = None, columnNameOfCorruptRecord: typing.Optional[str] = None, dateFormat: typing.Optional[str] = None, timestampFormat: typing.Optional[str] = None, multiLine: typing.Optional[typing.Union[bool, str]] = None, allowUnquotedControlChars: typing.Optional[typing.Union[bool, str]] = None, lineSep: typing.Optional[str] = None, samplingRatio: typing.Optional[typing.Union[float, str]] = None, dropFieldIfAllNull: typing.Optional[typing.Union[bool, str]] = None, encoding: typing.Optional[str] = None, locale: typing.Optional[str] = None, allowNonNumericNumbers: typing.Optional[typing.Union[bool, str]] = None) → pydantic.BaseModel
Signature
add_orc_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f01a5d2aea0> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f01a5d2af60> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f01a5d2b0b0> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f01a5d2b260> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f01a5d2b320> = None, pathGlobFilter: typing.Optional[typing.Union[bool, str]] = None, recursiveFileLookup: typing.Optional[typing.Union[bool, str]] = None, modifiedBefore: typing.Optional[typing.Union[bool, str]] = None, modifiedAfter: typing.Optional[typing.Union[bool, str]] = None, mergeSchema: typing.Optional[typing.Union[bool, str]] = False) → pydantic.BaseModel
Signature
add_parquet_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f01a5d444d0> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f01a5d44980> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f01a5d44950> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f01a5d448c0> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f01a5d447a0> = None, pathGlobFilter: typing.Optional[typing.Union[bool, str]] = None, recursiveFileLookup: typing.Optional[typing.Union[bool, str]] = None, modifiedBefore: typing.Optional[typing.Union[bool, str]] = None, modifiedAfter: typing.Optional[typing.Union[bool, str]] = None, mergeSchema: typing.Optional[typing.Union[bool, str]] = None, datetimeRebaseMode: typing.Optional[typing.Literal['EXCEPTION', 'CORRECTED', 'LEGACY']] = None, int96RebaseMode: typing.Optional[typing.Literal['EXCEPTION', 'CORRECTED', 'LEGACY']] = None) → pydantic.BaseModel
Signature
add_text_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f01a5d45580> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f01a5d455e0> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f01a5d454c0> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f01a5d453d0> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f01a5d455b0> = None, pathGlobFilter: typing.Optional[typing.Union[bool, str]] = None, recursiveFileLookup: typing.Optional[typing.Union[bool, str]] = None, modifiedBefore: typing.Optional[typing.Union[bool, str]] = None, modifiedAfter: typing.Optional[typing.Union[bool, str]] = None, wholetext: bool = False, lineSep: typing.Optional[str] = None) → pydantic.BaseModel
Signature
delete_asset(name: str) → None
Signature
get_asset(name: str) → great_expectations.datasource.fluent.interfaces._DataAssetT