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https://issues.apache.org/jira/browse/AMBARI-20056?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16169930#comment-16169930
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ShuMing Li commented on AMBARI-20056:
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My distributed Hbase version is 1.2.6, use default compaction policy, we get
the exception below:
> java.io.IOException: java.io.IOException: Unable to load configured store
> engine 'org.apache.hadoop.hbase.regionserver.DateTieredStoreEngine'
So which compaction policy should we use？
> FIFO compaction resulting in too many store files on large cluster
> ------------------------------------------------------------------
>
> Key: AMBARI-20056
> URL: https://issues.apache.org/jira/browse/AMBARI-20056
> Project: Ambari
> Issue Type: Bug
> Components: ambari-metrics
> Affects Versions: 2.5.0
> Reporter: Aravindan Vijayan
> Assignee: Aravindan Vijayan
> Priority: Critical
> Fix For: 2.5.0
>
> Attachments: AMBARI-20056.patch
>
>
> Set Data Tiered compaction for all tables except METRIC_RECORD
> This will allow number of store files to go down over time. On a 500 node
> cluster AMS can become in-operational after creating 18K store files and no
> compaction.
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