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https://issues.apache.org/jira/browse/HBASE-20188?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16441981#comment-16441981
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Anoop Sam John commented on HBASE-20188:
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This flush change is visible in 2.0.0 not only CompactingMemstore. My tests are 
on DefaultMemstore only.   
The initial flushes (in both versions) happen with memstore size ~128MB only.  
But what I can see is the 2.0.0 flush op takes >2x time for the flush to 
finish.  So the new flush requests get assigned to a flusher thread much later 
and by that time the memstore size grows much larger than 128MB.  Which again 
takes even more longer for the flush.  This is the issue with write perf for 
sure.

> [TESTING] Performance
> ---------------------
>
>                 Key: HBASE-20188
>                 URL: https://issues.apache.org/jira/browse/HBASE-20188
>             Project: HBase
>          Issue Type: Umbrella
>          Components: Performance
>            Reporter: stack
>            Assignee: stack
>            Priority: Blocker
>             Fix For: 2.0.0
>
>         Attachments: CAM-CONFIG-V01.patch, HBASE-20188-xac.sh, 
> HBASE-20188.sh, HBase 2.0 performance evaluation - 8GB(1).pdf, HBase 2.0 
> performance evaluation - 8GB.pdf, HBase 2.0 performance evaluation - Basic vs 
> None_ system settings.pdf, ITBLL2.5B_1.2.7vs2.0.0_cpu.png, 
> ITBLL2.5B_1.2.7vs2.0.0_gctime.png, ITBLL2.5B_1.2.7vs2.0.0_iops.png, 
> ITBLL2.5B_1.2.7vs2.0.0_load.png, ITBLL2.5B_1.2.7vs2.0.0_memheap.png, 
> ITBLL2.5B_1.2.7vs2.0.0_memstore.png, ITBLL2.5B_1.2.7vs2.0.0_ops.png, 
> ITBLL2.5B_1.2.7vs2.0.0_ops_NOT_summing_regions.png, YCSB_CPU.png, 
> YCSB_GC_TIME.png, YCSB_IN_MEMORY_COMPACTION=NONE.ops.png, YCSB_MEMSTORE.png, 
> YCSB_OPs.png, YCSB_in-memory-compaction=NONE.ops.png, YCSB_load.png, 
> flamegraph-1072.1.svg, flamegraph-1072.2.svg, hbase-env.sh, hbase-site.xml, 
> hbase-site.xml, hits.png, lock.127.workloadc.20180402T200918Z.svg, 
> lock.2.memsize2.c.20180403T160257Z.svg, perregion.png, run_ycsb.sh, 
> total.png, tree.txt, workloadx, workloadx
>
>
> How does 2.0.0 compare to old versions? Is it faster, slower? There is rumor 
> that it is much slower, that the problem is the asyncwal writing. Does 
> in-memory compaction slow us down or speed us up? What happens when you 
> enable offheaping?
> Keep notes here in this umbrella issue. Need to be able to say something 
> about perf when 2.0.0 ships.



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