[jira] [Updated] (HBASE-24757) ReplicationSink should limit the batch rowcount for batch mutations based on hbase.rpc.rows.warning.threshold

["Guanghao Zhang (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HBASE-24757?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Guanghao Zhang updated HBASE-24757:
-----------------------------------
    Fix Version/s:     (was: 2.2.7)
                   2.2.6

> ReplicationSink should limit the batch rowcount for batch mutations based on hbase.rpc.rows.warning.threshold
> -------------------------------------------------------------------------------------------------------------
>
>                 Key: HBASE-24757
>                 URL: https://issues.apache.org/jira/browse/HBASE-24757
>             Project: HBase
>          Issue Type: Improvement
>            Reporter: Viraj Jasani
>            Assignee: Viraj Jasani
>            Priority: Major
>             Fix For: 3.0.0-alpha-1, 2.3.1, 1.7.0, 2.4.0, 2.2.6
>
>
> At times there are quite a large no of WAL Edits to ship as part of Replication and sometimes replication queues accumulate huge list of Edits to process. ReplicationSink at the sink server usually goes through all Edits and creates map of table -> list of rows grouped by clusterIds, and performs batch mutation of all rows per table level. However, there is no limit to no of Rows that are sent as part of batch mutate call. If no of rows > limit threshold defined by hbase.rpc.rows.warning.threshold, we usually get warn "Large batch operation detected". If hbase.rpc.rows.size.threshold.reject is turned on, RS will reject the whole batch without processing.
> We should let Replication Sink honour this threshold value and accordingly keep the size lower per batch mutation call.
> Replication triggered batch mutations should always be consumed but keeping limit of mutation low enough will let the system function at the same pace and without triggering redundant warnings. This will also restrict exploitation of cpu cycles at the destination server.



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