Skip to main content
Ctrl+K
PyFlink 1.20+vvr.11.7.dev0 documentation - Home PyFlink 1.20+vvr.11.7.dev0 documentation - Home
  • API Reference
  • Examples
  • API Reference
  • Examples

Section Navigation

  • PyFlink Table
  • PyFlink DataStream
    • StreamExecutionEnvironment
    • DataStream
    • Functions
    • State
    • Timer
    • Window
    • Checkpoint
    • Side Outputs
    • Asynchronous I/O
    • Connectors
    • Formats
  • PyFlink DataFrame
  • PyFlink Common
  • API Reference
  • PyFlink DataStream
  • Connectors
  • pyflink.datastream.connectors.kinesis.WatermarkTracker

pyflink.datastream.connectors.kinesis.WatermarkTracker#

class WatermarkTracker(j_watermark_tracker)[source]#

The watermark tracker is responsible for aggregating watermarks across distributed operators. It can be used for sub tasks of a single Flink source as well as multiple heterogeneous sources or other operators.The class essentially functions like a distributed hash table that enclosing operators can use to adopt their processing / IO rates

Methods

job_manager_watermark_tracker(aggregate_name)

previous

pyflink.datastream.connectors.kinesis.KinesisDeserializationSchema

next

pyflink.datastream.connectors.kinesis.FlinkKinesisConsumer

On this page
  • WatermarkTracker

This Page

  • Show Source

Created using Sphinx 7.4.7.

Built with the PyData Sphinx Theme 0.16.1.