Packages

t

org.apache.spark.sql.connector.read

PartitionReaderFactory

trait PartitionReaderFactory extends Serializable

A factory used to create PartitionReader instances.

If Spark fails to execute any methods in the implementations of this interface or in the returned PartitionReader (by throwing an exception), corresponding Spark task would fail and get retried until hitting the maximum retry times.

Since

3.0.0

Linear Supertypes
Serializable, AnyRef, Any
Known Subclasses
ContinuousPartitionReaderFactory
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. PartitionReaderFactory
  2. Serializable
  3. AnyRef
  4. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Abstract Value Members

  1. abstract def createReader(partition: InputPartition): PartitionReader[InternalRow]

    Returns a row-based partition reader to read data from the given InputPartition.

    Returns a row-based partition reader to read data from the given InputPartition.

    Implementations probably need to cast the input partition to the concrete InputPartition class defined for the data source.

Concrete 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()
  6. def createColumnarReader(partition: InputPartition): PartitionReader[ColumnarBatch]

    Returns a columnar partition reader to read data from the given InputPartition.

    Returns a columnar partition reader to read data from the given InputPartition.

    Implementations probably need to cast the input partition to the concrete InputPartition class defined for the data source.

  7. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  8. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  9. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  11. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  13. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  14. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  15. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  16. def supportColumnarReads(partition: InputPartition): Boolean

    Returns true if the given InputPartition should be read by Spark in a columnar way.

    Returns true if the given InputPartition should be read by Spark in a columnar way. This means, implementations must also implement #createColumnarReader(InputPartition) for the input partitions that this method returns true.

    As of Spark 2.4, Spark can only read all input partition in a columnar way, or none of them. Data source can't mix columnar and row-based partitions. This may be relaxed in future versions.

  17. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  18. def toString(): String
    Definition Classes
    AnyRef → Any
  19. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  20. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  21. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped