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Posted to issues@bookkeeper.apache.org by GitBox <gi...@apache.org> on 2022/05/04 23:54:01 UTC

[GitHub] [bookkeeper] dave2wave commented on issue #3258: Bookkeeper 4.15 shows a write throughput drop of ~20% compared to Bookkeeper 4.14

dave2wave commented on issue #3258:
URL: https://github.com/apache/bookkeeper/issues/3258#issuecomment-1118033982

   I ran the DataStax version of the OMB with two different Pulsar clusters based on 2.10. One with BookKeeper 4.15.0 and the other 4.14.5 using different changes provided by Andrey.
   
   I ran a 1 million messages per second 10 topic 3 partition with 100 byte messages and a 400K messages per second 10 topic 3 partition with 1K messages scenario. Both tests ran in AWS us-west-2a and were nearly identical.
   
   ![1m-10-topics-3-partitions-100b - Publish Latency 99pct](https://user-images.githubusercontent.com/29803617/166843156-9faeeef0-a28b-43a6-bb3a-bfbe8840fdbf.svg)
   ![400k-10-topics-3-partitions-1k - End To End Latency Quantiles](https://user-images.githubusercontent.com/29803617/166843159-ffc2c0d0-ab4d-4193-9793-dac25cf50696.svg)
   ![400k-10-topics-3-partitions-1k - Publish Latency Quantiles](https://user-images.githubusercontent.com/29803617/166843163-97e329b3-c2ce-4720-a8d0-afbb35f8af75.svg)
   ![400k-10-topics-3-partitions-1k - End To End Latency Avg](https://user-images.githubusercontent.com/29803617/166843170-11e94be6-c065-4a12-b296-89ab5b8de6ca.svg)
   ![400k-10-topics-3-partitions-1k - Publish and Consumption Rates](https://user-images.githubusercontent.com/29803617/166843172-09486066-bc90-46d0-b07e-28ae3ac9777c.svg)
   ![400k-10-topics-3-partitions-1k - End To End Latency 95pct](https://user-images.githubusercontent.com/29803617/166843173-4554e76a-697f-47ac-832e-2844d5a98f65.svg)
   ![400k-10-topics-3-partitions-1k - Publish Latency Avg](https://user-images.githubusercontent.com/29803617/166843175-9d059220-3ae5-4209-8233-c8eb18c32d8b.svg)
   ![400k-10-topics-3-partitions-1k - Publish Latency 99pct](https://user-images.githubusercontent.com/29803617/166843176-68856a0e-50ad-40d4-9769-d52793c65148.svg)
   ![1m-10-topics-3-partitions-100b - End To End Latency Quantiles](https://user-images.githubusercontent.com/29803617/166843177-5f3dce21-725b-42e2-9f6f-d174e37710a8.svg)
   ![1m-10-topics-3-partitions-100b - Publish Latency Quantiles](https://user-images.githubusercontent.com/29803617/166843178-a0c9f6fc-20f2-4244-a04d-edc50a006327.svg)
   ![1m-10-topics-3-partitions-100b - End To End Latency Avg](https://user-images.githubusercontent.com/29803617/166843179-633148c1-1a12-4558-a70f-9070a2bbfc00.svg)
   ![1m-10-topics-3-partitions-100b - Publish and Consumption Rates](https://user-images.githubusercontent.com/29803617/166843180-31c547bb-e7be-4667-94cc-45c54cc5e433.svg)
   ![1m-10-topics-3-partitions-100b - End To End Latency 95pct](https://user-images.githubusercontent.com/29803617/166843181-e3237765-be1d-4105-b465-c0c0867edf59.svg)
   ![1m-10-topics-3-partitions-100b - Publish Latency Avg](https://user-images.githubusercontent.com/29803617/166843182-0135879f-fb5f-4704-8d45-a50973f9c706.svg)
   
   


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