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https://issues.apache.org/jira/browse/HBASE-24813?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17208796#comment-17208796
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Duo Zhang commented on HBASE-24813:
-----------------------------------
{quote}
Thanks Duo Zhang, if you managed to recover test logs/outputs, could you attach
it here?
{quote}
See the attached TestReplicationSyncUpTool.log. I ran it locally and then force
stopped it before it ate all my local spaces...
Thanks.
> ReplicationSource should clear buffer usage on ReplicationSourceManager upon
> termination
> ----------------------------------------------------------------------------------------
>
> Key: HBASE-24813
> URL: https://issues.apache.org/jira/browse/HBASE-24813
> Project: HBase
> Issue Type: Bug
> Components: Replication
> Affects Versions: 3.0.0-alpha-1, 2.3.1, 2.2.6
> Reporter: Wellington Chevreuil
> Assignee: Wellington Chevreuil
> Priority: Major
> Fix For: 3.0.0-alpha-1, 2.3.3, 2.4.0, 2.2.7
>
> Attachments: TestReplicationSyncUpTool.log
>
>
> Following investigations on the issue described by [~elserj] on HBASE-24779,
> we found out that once a peer is removed, thus killing peers related
> *ReplicationSource* instance, it may leave
> *ReplicationSourceManager.totalBufferUsed* inconsistent. This can happen if
> *ReplicationSourceWALReader* had put some entries on its queue to be
> processed by *ReplicationSourceShipper,* but the peer removal killed the
> shipper before it could process the pending entries. When
> *ReplicationSourceWALReader* thread add entries to the queue, it increments
> *ReplicationSourceManager.totalBufferUsed* with the sum of the entries sizes.
> When those entries are read by *ReplicationSourceShipper,*
> *ReplicationSourceManager.totalBufferUsed* is then decreased. We should also
> decrease *ReplicationSourceManager.totalBufferUsed* when *ReplicationSource*
> is terminated, otherwise those unprocessed entries size would be consuming
> *ReplicationSourceManager.totalBufferUsed __*indefinitely, unless the RS gets
> restarted. This may be a problem for deployments with multiple peers, or if
> new peers are added.**
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