Packages

class KeyGroupedPartitioning extends Partitioning

Represents a partitioning where rows are split across partitions based on the partition transform expressions returned by KeyGroupedPartitioning#keys.

Note: Data source implementations should make sure for a single partition, all of its rows must be evaluated to the same partition value after being applied by KeyGroupedPartitioning#keys expressions. Different partitions can share the same partition value: Spark will group these into a single logical partition during planning phase.

Annotations
@Evolving()
Source
KeyGroupedPartitioning.java
Since

3.3.0

Linear Supertypes
Partitioning, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. KeyGroupedPartitioning
  2. Partitioning
  3. AnyRef
  4. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new KeyGroupedPartitioning(keys: Array[Expression], numPartitions: Int)

Value Members

  1. def keys(): Array[Expression]

    Returns the partition transform expressions for this partitioning.

  2. def numPartitions(): Int

    Returns the number of partitions that the data is split across.

    Returns the number of partitions that the data is split across.

    Definition Classes
    KeyGroupedPartitioning → Partitioning
    Annotations
    @Override()