Ctrl+K
Logo image Logo image

Site Navigation

  • API Reference
  • Examples

Site Navigation

  • API Reference
  • Examples

Section Navigation

  • PyFlink Table
  • PyFlink DataStream
    • StreamExecutionEnvironment
    • DataStream
    • Functions
    • State
    • Timer
    • Window
    • Checkpoint
    • Side Outputs
    • Connectors
    • Formats
  • PyFlink Common

pyflink.datastream.data_stream.DataStream.set_max_parallelism#

DataStream.set_max_parallelism(max_parallelism: int) → pyflink.datastream.data_stream.DataStream[source]#

Sets the maximum parallelism of this operator.

The maximum parallelism specifies the upper bound for dynamic scaling. It also defines the number of key groups used for partitioned state.

Parameters

max_parallelism – Maximum parallelism.

Returns

The operator with set maximum parallelism.

previous

pyflink.datastream.data_stream.DataStream.set_parallelism

next

pyflink.datastream.data_stream.DataStream.get_type

Show Source

Created using Sphinx 4.5.0.