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https://issues.apache.org/jira/browse/HBASE-20188?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16425142#comment-16425142
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Eshcar Hillel commented on HBASE-20188:
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{quote}Did you use hbase defaults or did you change segment count or flush size
from default?
{quote}
No I did not change any default except for the system settings (cms and mslab)
in the second and third experiment.
2 major differences with respect to your setting is (1) I run on SSD *and* (2)
I use only 8GB heap.
Are you still using 31GB heap in your runs? 31GB heap for 25GB of data is too
much. With 8GB I think the gc affect is more pronounced.
You can run an experiment with 0.02 (this was shown to be optimal once) but I
wouldn't haste in changing *any* default before we run full experiments. There
are several parameters that affect each other, as I mentioned above (pipeline
length, active portion CAM/CCM, etc.), and I would like to check all of them
more deeply, both in the current workloada/workloadc and in an additional
workload.
But before we run any further experiments, can you please share how can we
switch on short-circuit reads in our experiments? Thanks.
> [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.sh, 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,
> lock.127.workloadc.20180402T200918Z.svg,
> lock.2.memsize2.c.20180403T160257Z.svg, tree.txt
>
>
> 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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