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From "Hudson (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-17215) Separate small/large file delete threads in HFileCleaner to accelerate archived hfile cleanup speed
Date Wed, 05 Apr 2017 16:18:41 GMT

    [ https://issues.apache.org/jira/browse/HBASE-17215?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15957140#comment-15957140

Hudson commented on HBASE-17215:

SUCCESS: Integrated in Jenkins build HBase-Trunk_matrix #2804 (See [https://builds.apache.org/job/HBase-Trunk_matrix/2804/])
HBASE-17854 Use StealJobQueue in HFileCleaner after HBASE-17215 (liyu: rev cbcbcf4dcd3401327cc36173f3ca8e5362da1e0c)
* (edit) hbase-server/src/test/java/org/apache/hadoop/hbase/util/TestStealJobQueue.java
* (edit) hbase-server/src/test/java/org/apache/hadoop/hbase/master/cleaner/TestHFileCleaner.java
* (edit) hbase-server/src/main/java/org/apache/hadoop/hbase/util/StealJobQueue.java
* (edit) hbase-server/src/main/java/org/apache/hadoop/hbase/master/cleaner/HFileCleaner.java

> Separate small/large file delete threads in HFileCleaner to accelerate archived hfile
cleanup speed
> ---------------------------------------------------------------------------------------------------
>                 Key: HBASE-17215
>                 URL: https://issues.apache.org/jira/browse/HBASE-17215
>             Project: HBase
>          Issue Type: Improvement
>            Reporter: Yu Li
>            Assignee: Yu Li
>             Fix For: 2.0.0
>         Attachments: HBASE-17215.patch, HBASE-17215.v2.patch, HBASE-17215.v3.patch
> When using PCIe-SSD the flush speed will be really quick, and although we have per CF
flush, we still have the {{hbase.regionserver.optionalcacheflushinterval}} setting and some
other mechanism to avoid data kept in memory for too long to flush small hfiles. In our online
environment we found the single thread cleaner kept cleaning earlier flushed small files while
large files got no chance, which caused disk full then many other problems.
> Deleting hfiles in parallel with too many threads will also increase the workload of
namenode, so here we propose to separate large/small hfile cleaner threads just like we do
for compaction, and it turned out to work well in our cluster.

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