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From "Hadoop QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-16417) In-Memory MemStore Policy for Flattening and Compactions
Date Thu, 19 Oct 2017 08:45:01 GMT

    [ https://issues.apache.org/jira/browse/HBASE-16417?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16210737#comment-16210737
] 

Hadoop QA commented on HBASE-16417:
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|| Subsystem || Report/Notes ||
| JIRA Issue | HBASE-16417 |
| JIRA Patch URL | https://issues.apache.org/jira/secure/attachment/12893008/HBASE-16417.09.patch
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> In-Memory MemStore Policy for Flattening and Compactions
> --------------------------------------------------------
>
>                 Key: HBASE-16417
>                 URL: https://issues.apache.org/jira/browse/HBASE-16417
>             Project: HBase
>          Issue Type: Sub-task
>            Reporter: Anastasia Braginsky
>            Assignee: Eshcar Hillel
>             Fix For: 3.0.0
>
>         Attachments: HBASE-16417 - Adaptive Compaction Policy - 20171001.pdf, HBASE-16417
- parameter tuning - 20171001.pdf, HBASE-16417-V01.patch, HBASE-16417-benchmarkresults-20161101.pdf,
HBASE-16417-benchmarkresults-20161110.pdf, HBASE-16417-benchmarkresults-20161123.pdf, HBASE-16417-benchmarkresults-20161205.pdf,
HBASE-16417-benchmarkresults-20170309.pdf, HBASE-16417-benchmarkresults-20170317.pdf, HBASE-16417.01.patch,
HBASE-16417.02.patch, HBASE-16417.03.patch, HBASE-16417.04.patch, HBASE-16417.05.patch, HBASE-16417.06.patch,
HBASE-16417.07.patch, HBASE-16417.07.patch, HBASE-16417.08.patch, HBASE-16417.09.patch
>
>
> This Jira explores the performance of different memstore compaction policies.
> It presents the result of write-only workload evaluation as well as read performance
in read-write workloads.
> We investigate several settings of hardware (SSD, HDD), key distribution (Zipf, uniform),
with multiple settings of the system, and compare measures like write throughput, read latency,
write volume, total gc time, etc.
> The submitted patch sets some system properties at the values yielding optimal performance.
In addition we suggest a new Adaptive memstore compaction policy that shows good tradeoffs
between write throughput and write volume.



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