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https://issues.apache.org/jira/browse/AMBARI-14140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15041552#comment-15041552
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Hudson commented on AMBARI-14140:
---------------------------------

FAILURE: Integrated in Ambari-branch-2.2 #4 (See 
[https://builds.apache.org/job/Ambari-branch-2.2/4/])
AMBARI-14140  Test and Adopt FIFO compaction policy for AMS high load (dsen: 
[http://git-wip-us.apache.org/repos/asf?p=ambari.git&a=commit&h=a9a6f8bfd2bb585188891aa6c2b9bc35e58fe8bb])
* 
ambari-server/src/main/resources/common-services/AMBARI_METRICS/0.1.0/configuration/ams-hbase-site.xml
* 
ambari-server/src/main/resources/common-services/AMBARI_METRICS/0.1.0/configuration/ams-site.xml
* 
ambari-metrics/ambari-metrics-timelineservice/conf/unix/ambari-metrics-collector
* 
ambari-server/src/main/resources/common-services/AMBARI_METRICS/0.1.0/configuration/ams-env.xml
* 
ambari-server/src/main/resources/common-services/AMBARI_METRICS/0.1.0/package/scripts/params.py
* 
ambari-server/src/main/java/org/apache/ambari/server/upgrade/UpgradeCatalog213.java
* 
ambari-server/src/test/java/org/apache/ambari/server/upgrade/UpgradeCatalog213Test.java


> Test and Adopt FIFO compaction policy for AMS high load tables
> --------------------------------------------------------------
>
>                 Key: AMBARI-14140
>                 URL: https://issues.apache.org/jira/browse/AMBARI-14140
>             Project: Ambari
>          Issue Type: Bug
>          Components: ambari-metrics
>            Reporter: Aravindan Vijayan
>            Assignee: Aravindan Vijayan
>            Priority: Critical
>             Fix For: 2.2.0
>
>         Attachments: AMBARI-14140.patch
>
>
> FIFO compaction policy selects only files which have all cells expired. The 
> column family MUST have non-default TTL. 
> Essentially, FIFO compactor does only one job: collects expired store files.
> Because we do not do any real compaction, we do not use CPU and IO (disk and 
> network), we do not evict hot data from a block cache. The result: improved 
> throughput and latency both write and read.



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