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https://issues.apache.org/jira/browse/HBASE-28256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17807563#comment-17807563
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Hudson commented on HBASE-28256:
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Results for branch branch-2
[build #966 on
builds.a.o|https://ci-hbase.apache.org/job/HBase%20Nightly/job/branch-2/966/]:
(x) *{color:red}-1 overall{color}*
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(/) {color:green}+1 general checks{color}
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report|https://ci-hbase.apache.org/job/HBase%20Nightly/job/branch-2/966/General_20Nightly_20Build_20Report/]
(/) {color:green}+1 jdk8 hadoop2 checks{color}
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(/) {color:green}+1 source release artifact{color}
-- See build output for details.
(/) {color:green}+1 client integration test{color}
> Enhance ByteBufferUtils.readVLong to read more bytes at a time
> --------------------------------------------------------------
>
> Key: HBASE-28256
> URL: https://issues.apache.org/jira/browse/HBASE-28256
> Project: HBase
> Issue Type: Improvement
> Components: Performance
> Reporter: Becker Ewing
> Assignee: Becker Ewing
> Priority: Major
> Fix For: 2.6.0, 2.5.8, 3.0.0-beta-2
>
> Attachments: ReadVLongBenchmark.zip, async-prof-rs-cpu.html
>
>
> Currently, ByteBufferUtils.readVLong is used to decode rows in all data block
> encodings in order to read the memstoreTs field. For a data block encoding
> like prefix, ByteBufferUtils.readVLong can surprisingly occupy over 50% of
> the CPU time in BufferedEncodedSeeker.decodeNext (which can be quite a hot
> method in seek operations).
>
> Since memstoreTs will typically require at least 6 bytes to store, we could
> look to vectorize the read path for readVLong to read 8 bytes at a time
> instead of a single byte at a time (like in
> https://issues.apache.org/jira/browse/HBASE-28025) in order to increase
> performance.
>
> Attached is a CPU flamegraph of a region server process which shows that we
> spend a surprising amount of time in decoding rows from the DBE in
> ByteBufferUtils.readVLong.
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