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https://issues.apache.org/jira/browse/HBASE-17215?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15952118#comment-15952118
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Hudson commented on HBASE-17215:
--------------------------------
SUCCESS: Integrated in Jenkins build HBase-Trunk_matrix #2778 (See
[https://builds.apache.org/job/HBase-Trunk_matrix/2778/])
HBASE-17215 Separate small/large file delete threads in HFileCleaner to (liyu:
rev 9facfa550f1e7386be3a04d84f7e8013f5002965)
* (edit)
hbase-server/src/main/java/org/apache/hadoop/hbase/master/cleaner/HFileCleaner.java
* (edit)
hbase-server/src/main/java/org/apache/hadoop/hbase/regionserver/RSRpcServices.java
* (edit) hbase-server/src/main/java/org/apache/hadoop/hbase/master/HMaster.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/master/cleaner/CleanerChore.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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