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  1. Flink
  2. FLINK-31872

Add Support for Configuring AIMD Ratelimiting strategy parameters by Sink users for KinesisStreamsSink

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      Issue

      As part of FLINK-31772

      I performed a complete benchmark for KinesisStreamsSink after configuring rate limiting strategy.
      It appears that optimum values for rate limiting strategy parameters are dependent on use case (shard number/ parallellism/ record thouroughput)
      We initially implemeted the AIMDRateLimitingStrategy in accordance with one used for TCP congestion control but since parameters are use case dependent we would like to allow sink users to adjust parameters as suitable.

      Requirements

      • we must allow users to configure increment rate and decrease factor of AIMDRateLimitingStrategy for KinesisStreamsSink
      • we must provide backward compatible default values identical to current values to introduce no further regressions.

      Appendix

      Performace Benchmark Results

      Parallelism/Shards/Payload paralellism shards payload records/sec Async Sink Async Sink With Configured Ratelimiting Strategy Thourouput (MB/s) Async sink/ Maximum Thourouput % of Improvement
      Low/Low/Low 1 1 1024 10000 0.991 1 1 0.9
      Low/Low/High 1 1 102400 100 0.9943 1 1 0.57
      Low/Med/Low 1 8 1024 80000 4.12 4.57 0.57125 5.625
      Low/Med/High 1 8 102400 800 4.35 7.65 0.95625 41.25
      Med/Low/Low 8 1 1024 20000 0.852 0.846 0.846 -0.6
      Med/Low/High 8 1 102400 200 0.921 0.867 0.867 -5.4
      Med/Med/Low 8 8 1024 80000 5.37 4.76 0.595 -7.625
      Med/Med/High 8 8 102400 800 7.53 7.69 0.96125 2
      Med/High/Low 8 64 1024 80000 32.5 37.4 0.58438 7.65625
      Med/High/High 8 64 102400 800 47.27 60.4 0.94375 20.51562
      High/High/Low 256 256 1024 300000 127 127 0.49609 0
      High/High/High 256 256 102400 3000 225 246 0.96094 8.20313

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            chalixar Ahmed Hamdy
            chalixar Ahmed Hamdy
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              Created:
              Updated: