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https://issues.apache.org/jira/browse/HBASE-28256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17807949#comment-17807949
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Hudson commented on HBASE-28256:
--------------------------------

Results for branch master
        [build #987 on 
builds.a.o|https://ci-hbase.apache.org/job/HBase%20Nightly/job/master/987/]: 
(x) *{color:red}-1 overall{color}*
----
details (if available):

(/) {color:green}+1 general checks{color}
-- For more information [see general 
report|https://ci-hbase.apache.org/job/HBase%20Nightly/job/master/987/General_20Nightly_20Build_20Report/]




(/) {color:green}+1 jdk8 hadoop3 checks{color}
-- For more information [see jdk8 (hadoop3) 
report|https://ci-hbase.apache.org/job/HBase%20Nightly/job/master/987/JDK8_20Nightly_20Build_20Report_20_28Hadoop3_29/]


(x) {color:red}-1 jdk11 hadoop3 checks{color}
-- For more information [see jdk11 
report|https://ci-hbase.apache.org/job/HBase%20Nightly/job/master/987/JDK11_20Nightly_20Build_20Report_20_28Hadoop3_29/]


(/) {color:green}+1 source release artifact{color}
-- See build output for details.


(x) {color:red}-1 client integration test{color}
--Failed when running client tests on top of Hadoop 3. [see log for 
details|https://ci-hbase.apache.org/job/HBase%20Nightly/job/master/987//artifact/output-integration/hadoop-3.log].
 (note that this means we didn't check the Hadoop 3 shaded client)


> 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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