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https://issues.apache.org/jira/browse/HBASE-5179?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13186699#comment-13186699
]
Zhihong Yu commented on HBASE-5179:
-----------------------------------
{code}
+ /**
+ * Set of dead root servers under processing by the ServerShutdownHander.
+ */
+ private final Set<String> deadRootServersUnderProcessing = new
HashSet<String>();
+ /**
+ * Set of dead meta servers under processing by the ServerShutdownHander.
+ */
+ private final Set<String> deadMetaServersUnderProcessing = new
HashSet<String>();
{code}
Do we need to use Set<> for the above two fields ? Currently ROOT and .META. is
served by one server, respectively.
> Concurrent processing of processFaileOver and ServerShutdownHandler may cause
> region to be assigned before log splitting is completed, causing data loss
> --------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: HBASE-5179
> URL: https://issues.apache.org/jira/browse/HBASE-5179
> Project: HBase
> Issue Type: Bug
> Components: master
> Affects Versions: 0.90.2
> Reporter: chunhui shen
> Assignee: chunhui shen
> Priority: Critical
> Fix For: 0.92.0, 0.94.0, 0.90.6
>
> Attachments: 5179-90.txt, 5179-90v2.patch, 5179-90v3.patch,
> 5179-90v4.patch, 5179-90v5.patch, 5179-v2.txt, 5179-v3.txt, 5179-v4.txt,
> hbase-5179.patch, hbase-5179v5.patch, hbase-5179v6.patch, hbase-5179v7.patch
>
>
> If master's processing its failover and ServerShutdownHandler's processing
> happen concurrently, it may appear following case.
> 1.master completed splitLogAfterStartup()
> 2.RegionserverA restarts, and ServerShutdownHandler is processing.
> 3.master starts to rebuildUserRegions, and RegionserverA is considered as
> dead server.
> 4.master starts to assign regions of RegionserverA because it is a dead
> server by step3.
> However, when doing step4(assigning region), ServerShutdownHandler may be
> doing split log, Therefore, it may cause data loss.
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