class ExcelDataSource extends TableProvider with DataSourceRegister

Creality Spark Excel data source entry point.

This class is heavily influenced by datasources.v2.FileDataSourceV2. We can not extends FileDataSourceV2 directly because that needs a fallback implementation with V1 API for writing.

Linear Supertypes
DataSourceRegister, TableProvider, AnyRef, Any
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Inherited
  1. ExcelDataSource
  2. DataSourceRegister
  3. TableProvider
  4. AnyRef
  5. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ExcelDataSource()

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  8. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  9. def getTable(schema: StructType, partitioning: Array[Transform], properties: Map[String, String]): Table

    Return a Table instance with the specified table schema, partitioning and properties to do read/write.

    Return a Table instance with the specified table schema, partitioning and properties to do read/write. The returned table should report the same schema and partitioning with the specified ones, or Spark may fail the operation.

    schema

    The specified table schema.

    partitioning

    The specified table partitioning.

    properties

    The specified table properties. It's case preserving (contains exactly what users specified) and implementations are free to use it case sensitively or insensitively. It should be able to identify a table, e.g. file path, Kafka topic name, etc.

    Definition Classes
    ExcelDataSource → TableProvider
  10. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  11. def inferPartitioning(options: CaseInsensitiveStringMap): Array[Transform]

    Infer the partitioning of the table identified by the given options.

    Infer the partitioning of the table identified by the given options.

    By default this method returns empty partitioning, please override it if this source support partitioning.

    options

    an immutable case-insensitive string-to-string map that can identify a table, e.g. file path, Kafka topic name, etc.

    Definition Classes
    ExcelDataSource → TableProvider
  12. def inferSchema(options: CaseInsensitiveStringMap): StructType

    Infer the schema of the table identified by the given options.

    Infer the schema of the table identified by the given options.

    options

    an immutable case-insensitive string-to-string map that can identify a table, e.g. file path, Kafka topic name, etc.

    Definition Classes
    ExcelDataSource → TableProvider
  13. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  14. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  16. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  17. def shortName(): String

    The string that represents the format that this data source provider uses

    The string that represents the format that this data source provider uses

    Definition Classes
    ExcelDataSource → DataSourceRegister
  18. def supportsExternalMetadata(): Boolean

    Returns true if the source has the ability of accepting external table metadata when getting tables.

    Returns true if the source has the ability of accepting external table metadata when getting tables. The external table metadata includes:

    1. For table reader: user-specified schema from DataFrameReader/DataStreamReader and schema/partitioning stored in Spark catalog. 2. For table writer: the schema of the input Dataframe of DataframeWriter/DataStreamWriter.
    Definition Classes
    ExcelDataSource → TableProvider
  19. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  20. def toString(): String
    Definition Classes
    AnyRef → Any
  21. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  22. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  23. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from DataSourceRegister

Inherited from TableProvider

Inherited from AnyRef

Inherited from Any

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