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https://issues.apache.org/jira/browse/HBASE-21657?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Zheng Hu updated HBASE-21657:
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Attachment: HBASE-21657.v5.patch
> PrivateCellUtil#estimatedSerializedSizeOf has been the bottleneck in 100%
> scan case.
> ------------------------------------------------------------------------------------
>
> Key: HBASE-21657
> URL: https://issues.apache.org/jira/browse/HBASE-21657
> Project: HBase
> Issue Type: Bug
> Components: Performance
> Reporter: Zheng Hu
> Assignee: Zheng Hu
> Priority: Major
> Fix For: 3.0.0, 2.2.0, 2.1.3, 2.0.5
>
> Attachments: HBASE-21657.v1.patch, HBASE-21657.v2.patch,
> HBASE-21657.v3.patch, HBASE-21657.v3.patch, HBASE-21657.v4.patch,
> HBASE-21657.v5.patch, HBASE-21657.v5.patch,
> HBase1.4.9-ssd-10000000-rows-flamegraph.svg,
> HBase1.4.9-ssd-10000000-rows-qps-latency.png,
> HBase2.0.4-patch-v2-ssd-10000000-rows-qps-and-latency.png,
> HBase2.0.4-patch-v2-ssd-10000000-rows.svg,
> HBase2.0.4-patch-v3-ssd-10000000-rows-flamegraph.svg,
> HBase2.0.4-patch-v3-ssd-10000000-rows-qps-and-latency.png,
> HBase2.0.4-patch-v4-ssd-10000000-rows-flamegraph.svg,
> HBase2.0.4-ssd-10000000-rows-flamegraph.svg,
> HBase2.0.4-ssd-10000000-rows-qps-latency.png, HBase2.0.4-with-patch.v2.png,
> HBase2.0.4-without-patch-v2.png, debug-the-ByteBufferKeyValue.diff,
> hbase2.0.4-ssd-scan-traces.2.svg, hbase2.0.4-ssd-scan-traces.svg,
> hbase20-ssd-100-scan-traces.svg, image-2019-01-07-19-03-37-930.png,
> image-2019-01-07-19-03-55-577.png, overview-statstics-1.png, run.log
>
>
> We are evaluating the performance of branch-2, and find that the throughput
> of scan in SSD cluster is almost the same as HDD cluster. so I made a
> FlameGraph on RS, and found that the
> PrivateCellUtil#estimatedSerializedSizeOf cost about 29% cpu, Obviously, it
> has been the bottleneck in 100% scan case.
> See the [^hbase20-ssd-100-scan-traces.svg]
> BTW, in our XiaoMi branch, we introduce a
> HRegion#updateReadRequestsByCapacityUnitPerSecond to sum up the size of cells
> (for metric monitor), so it seems the performance loss was amplified.
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