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From "Ashu Pachauri (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-18027) Replication should respect RPC size limits when batching edits
Date Mon, 22 May 2017 19:08:04 GMT

    [ https://issues.apache.org/jira/browse/HBASE-18027?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16020024#comment-16020024
] 

Ashu Pachauri commented on HBASE-18027:
---------------------------------------

[~apurtell]
bq. Perhaps we table this change and wait and see if the same problems occur with 1.3
I can confirm that the same occurs on 1.3.

Just for the sake of completeness of discussion, there is probably an easier way to handle
this if both source and peer are HBase versions 1.3+ by retrying entries serially if it receives
RequestTooBigException. However, that would fail completely in a X --> 1.3+ replication
scenario.

> Replication should respect RPC size limits when batching edits
> --------------------------------------------------------------
>
>                 Key: HBASE-18027
>                 URL: https://issues.apache.org/jira/browse/HBASE-18027
>             Project: HBase
>          Issue Type: Bug
>          Components: Replication
>    Affects Versions: 2.0.0, 1.4.0, 1.3.1
>            Reporter: Andrew Purtell
>            Assignee: Andrew Purtell
>             Fix For: 2.0.0, 1.4.0, 1.3.2
>
>         Attachments: HBASE-18027.patch, HBASE-18027.patch, HBASE-18027.patch
>
>
> In HBaseInterClusterReplicationEndpoint#replicate we try to replicate in batches. We
create N lists. N is the minimum of configured replicator threads, number of 100-waledit batches,
or number of current sinks. Every pending entry in the replication context is then placed
in order by hash of encoded region name into one of these N lists. Each of the N lists is
then sent all at once in one replication RPC. We do not test if the sum of data in each N
list will exceed RPC size limits. This code presumes each individual edit is reasonably small.
Not checking for aggregate size while assembling the lists into RPCs is an oversight and can
lead to replication failure when that assumption is violated.
> We can fix this by generating as many replication RPC calls as we need to drain a list,
keeping each RPC under limit, instead of assuming the whole list will fit in one.



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