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From "Yu Li (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-16698) Performance issue: handlers stuck waiting for CountDownLatch inside WALKey#getWriteEntry under high writing workload
Date Sun, 25 Sep 2016 17:00:22 GMT

    [ https://issues.apache.org/jira/browse/HBASE-16698?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15521114#comment-15521114
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Yu Li commented on HBASE-16698:
-------------------------------

Checked below failed UT cases in HadoopQA report and confirmed all could pass in local:
{noformat}
org.apache.hadoop.hbase.client.TestReplicasClient
org.apache.hadoop.hbase.client.TestFromClientSide
org.apache.hadoop.hbase.client.TestIncrementFromClientSideWithCoprocessor
org.apache.hadoop.hbase.client.TestMobCloneSnapshotFromClient
org.apache.hadoop.hbase.client.TestMobSnapshotCloneIndependence
{noformat}
I have seen some of these failed cases in HadoopQA report for several JIRAs, not sure whether
any JIRA already track them down.

Regarding the findbugs issue:
{noformat}
Bug type UL_UNRELEASED_LOCK (click for details) 
In class org.apache.hadoop.hbase.regionserver.HRegion
In method org.apache.hadoop.hbase.regionserver.HRegion.doMiniBatchMutate(HRegion$BatchOperation)
At HRegion.java:[line 3262]
{noformat}
I think it's a similar fingbugs false positive like this one in [stackoverflow|http://stackoverflow.com/questions/5408940/possible-findbugs-false-positive-of-ul-unreleased-lock-exception-path].
I could see some methods suppress fingbugs warning through {{@edu.umd.cs.findbugs.annotations.SuppressWarnings}}
such as {{HRegion#doClose}}, but I don't think it's a good idea doing the same thing for {{doMiniBatchMutate}}.
Any suggestions [~stack]?

> Performance issue: handlers stuck waiting for CountDownLatch inside WALKey#getWriteEntry
under high writing workload
> --------------------------------------------------------------------------------------------------------------------
>
>                 Key: HBASE-16698
>                 URL: https://issues.apache.org/jira/browse/HBASE-16698
>             Project: HBase
>          Issue Type: Improvement
>          Components: Performance
>    Affects Versions: 1.1.6, 1.2.3
>            Reporter: Yu Li
>            Assignee: Yu Li
>         Attachments: HBASE-16698.patch, HBASE-16698.v2.patch, hadoop0495.et2.jstack
>
>
> As titled, on our production environment we observed 98 out of 128 handlers get stuck
waiting for the CountDownLatch {{seqNumAssignedLatch}} inside {{WALKey#getWriteEntry}} under
a high writing workload.
> After digging into the problem, we found that the problem is mainly caused by advancing
mvcc in the append logic. Below is some detailed analysis:
> Under current branch-1 code logic, all batch puts will call {{WALKey#getWriteEntry}}
after appending edit to WAL, and {{seqNumAssignedLatch}} is only released when the relative
append call is handled by RingBufferEventHandler (see {{FSWALEntry#stampRegionSequenceId}}).
Because currently we're using a single event handler for the ringbuffer, the append calls
are handled one by one (actually lot's of our current logic depending on this sequential dealing
logic), and this becomes a bottleneck under high writing workload.
> The worst part is that by default we only use one WAL per RS, so appends on all regions
are dealt with in sequential, which causes contention among different regions...
> To fix this, we could also take use of the "sequential appends" mechanism, that we could
grab the WriteEntry before publishing append onto ringbuffer and use it as sequence id, only
that we need to add a lock to make "grab WriteEntry" and "append edit" a transaction. This
will still cause contention inside a region but could avoid contention between different regions.
This solution is already verified in our online environment and proved to be effective.
> Notice that for master (2.0) branch since we already change the write pipeline to sync
before writing memstore (HBASE-15158), this issue only exists for the ASYNC_WAL writes scenario.



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