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From "Enis Soztutar (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-15339) Improve DateTieredCompactionPolicy
Date Fri, 04 Mar 2016 01:32:41 GMT

    [ https://issues.apache.org/jira/browse/HBASE-15339?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15179113#comment-15179113

Enis Soztutar commented on HBASE-15339:

Delayed compactions for the incoming window is also relevant: HBASE-14496. [~vrodionov] can
comment more on the reasoning, but my understanding is that if query load for very-recent
data is high, delaying the compaction of files for some time can help with smoothing the latencies

> Improve DateTieredCompactionPolicy
> ----------------------------------
>                 Key: HBASE-15339
>                 URL: https://issues.apache.org/jira/browse/HBASE-15339
>             Project: HBase
>          Issue Type: Improvement
>          Components: Compaction
>            Reporter: Duo Zhang
> For our MiCloud service, the old data is rarely touched but we still need to keep it,
so we want to put the data on inexpensive device and reduce redundancy using EC to cut down
the cost.
> With date based tiered compaction introduced in HBASE-15181, new data and old data can
be placed in different tier. But the tier boundary moves as time lapse so it is still possible
that we do compaction on old tier which breaks our block moving and EC work.
> So here we want to introduce an "archive tier" to better fit our scenario. Add an configuration
called "archive unit", for example, year. That means, if we find that the tier boundary is
already in the previous year, then we reset the boundary to the start of year and end of year,
and if we want to do compaction in this tier, just compact all files into one file. The file
will never be changed unless we force a major compaction so it is safe to apply EC and other
cost reducing approach on the file. And we make more tiers before this tier year by year.

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