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https://issues.apache.org/jira/browse/HBASE-20188?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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stack updated HBASE-20188:
--------------------------
Attachment: (was: HBASE-20188.branch-2.0.001.patch)
> [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, hits_with_fp_scheduler.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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