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https://issues.apache.org/jira/browse/HBASE-15995?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16036054#comment-16036054
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Hudson commented on HBASE-15995:
--------------------------------
FAILURE: Integrated in Jenkins build HBase-1.4 #757 (See
[https://builds.apache.org/job/HBase-1.4/757/])
HBASE-15995 Separate replication WAL reading from shipping (tedyu: rev
3cf4433260b60a0e0455090628cf60a9d5a180f3)
* (delete)
hbase-server/src/main/java/org/apache/hadoop/hbase/replication/regionserver/ReplicationWALReaderManager.java
* (delete)
hbase-server/src/test/java/org/apache/hadoop/hbase/replication/regionserver/TestReplicationWALReaderManager.java
* (add)
hbase-server/src/main/java/org/apache/hadoop/hbase/replication/ClusterMarkingEntryFilter.java
* (add)
hbase-server/src/main/java/org/apache/hadoop/hbase/replication/regionserver/WALEntryStream.java
* (add)
hbase-server/src/main/java/org/apache/hadoop/hbase/replication/regionserver/ReplicationSourceWALReaderThread.java
* (edit)
hbase-server/src/main/java/org/apache/hadoop/hbase/replication/regionserver/ReplicationSource.java
* (add)
hbase-server/src/test/java/org/apache/hadoop/hbase/replication/regionserver/TestWALEntryStream.java
> Separate replication WAL reading from shipping
> ----------------------------------------------
>
> Key: HBASE-15995
> URL: https://issues.apache.org/jira/browse/HBASE-15995
> Project: HBase
> Issue Type: Sub-task
> Components: Replication
> Affects Versions: 2.0.0
> Reporter: Vincent Poon
> Assignee: Vincent Poon
> Fix For: 2.0.0, 1.4.0
>
> Attachments: HBASE-15995.branch-1.v7.patch,
> HBASE-15995.master.v1.patch, HBASE-15995.master.v2.patch,
> HBASE-15995.master.v3.patch, HBASE-15995.master.v4.patch,
> HBASE-15995.master.v6.patch, HBASE-15995.master.v7.patch,
> replicationV1_100ms_delay.png, replicationV2_100ms_delay.png
>
>
> Currently ReplicationSource reads edits from the WAL and ships them in the
> same thread.
> By breaking out the reading from the shipping, we can introduce greater
> parallelism and lay the foundation for further refactoring to a pipelined,
> streaming model.
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