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From "Lars Hofhansl (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-9158) Serious bug in cyclic replication
Date Thu, 08 Aug 2013 21:26:48 GMT

    [ https://issues.apache.org/jira/browse/HBASE-9158?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13734014#comment-13734014

Lars Hofhansl commented on HBASE-9158:

Thanks :)
BTW. the commented configs in the test are not needed, will remove them upon commit (if everything
else works out)
> Serious bug in cyclic replication
> ---------------------------------
>                 Key: HBASE-9158
>                 URL: https://issues.apache.org/jira/browse/HBASE-9158
>             Project: HBase
>          Issue Type: Bug
>    Affects Versions: 0.98.0, 0.95.1, 0.94.10
>            Reporter: Lars Hofhansl
>            Assignee: Lars Hofhansl
>            Priority: Critical
>             Fix For: 0.98.0, 0.95.2, 0.94.11
>         Attachments: 9158-0.94.txt, 9158-0.94-v2.txt, 9158-0.94-v3.txt, 9158-0.94-v4.txt,
9158-trunk-v1.txt, 9158-trunk-v2.txt, 9158-trunk-v3.txt, 9158-trunk-v4.txt
> While studying the code for HBASE-7709, I found a serious bug in the current cyclic replication
code. The problem is here in HRegion.doMiniBatchMutation:
> {code}
>       Mutation first = batchOp.operations[firstIndex].getFirst();
>       txid = this.log.appendNoSync(regionInfo, this.htableDescriptor.getName(),
>                walEdit, first.getClusterId(), now, this.htableDescriptor);
> {code}
> Now note that edits replicated from remote cluster and local edits might interleave in
the WAL, we might also receive edit from multiple remote clusters. Hence that <walEdit>
might have edits from many clusters in it, but all are just labeled with the clusterId of
the first Mutation.
> Fixing this in doMiniBatchMutation seems tricky to do efficiently (imagine we get a batch
with cluster1, cluster2, cluster1, cluster2, ..., in that case each edit would have to be
its own batch). The coprocessor handling would also be difficult.
> The other option is create batches of Puts grouped by the cluster id in ReplicationSink.replicateEntries(...),
this is not as general, but equally correct. This is the approach I would favor.
> Lastly this is very hard to verify in a unittest.

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