Performance Analysis and Tuning Guides for Hybrid Shuffle Mode

The Apache Flink community introduced the Hybrid Shuffle Mode[1] in 1.16, which combines traditional Batch Shuffle with Pipelined Shuffle from stream processing to give Flink batch processing more powerful capabilities. The core idea of Hybrid Shuffle is to break scheduling constraints and decide whether downstream tasks need to be scheduled based on the availability of resources, while supporting in-memory data exchange without spilling to disk when conditions permit.

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