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From "Dave Latham (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-15181) A simple implementation of date based tiered compaction
Date Wed, 15 Mar 2017 21:51:42 GMT

    [ https://issues.apache.org/jira/browse/HBASE-15181?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15927057#comment-15927057
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Dave Latham commented on HBASE-15181:
-------------------------------------

It's been awhile since I looked at opentsdb's write/read patterns, but I do think date tiered
compaction would be a great fit for time series data, especially if the engine is aware. 
To take good advantage of it, the queries would need to set the time range on the scan itself
(as opposed to purely encoding time information directly in the row/column identifiers and
relying on them for time bounding).  I'm not sure if opentsdb does that.

> A simple implementation of date based tiered compaction
> -------------------------------------------------------
>
>                 Key: HBASE-15181
>                 URL: https://issues.apache.org/jira/browse/HBASE-15181
>             Project: HBase
>          Issue Type: New Feature
>          Components: Compaction
>            Reporter: Clara Xiong
>            Assignee: Clara Xiong
>             Fix For: 2.0.0, 1.3.0, 0.98.18
>
>         Attachments: HBASE-15181-0.98-ADD.patch, HBASE-15181-0.98.patch, HBASE-15181-0.98.v4.patch,
HBASE-15181-98.patch, HBASE-15181-ADD.patch, HBASE-15181-branch-1.patch, HBASE-15181-master-v1.patch,
HBASE-15181-master-v2.patch, HBASE-15181-master-v3.patch, HBASE-15181-master-v4.patch, HBASE-15181-v1.patch,
HBASE-15181-v2.patch
>
>
> This is a simple implementation of date-based tiered compaction similar to Cassandra's
for the following benefits:
> 1. Improve date-range-based scan by structuring store files in date-based tiered layout.
> 2. Reduce compaction overhead.
> 3. Improve TTL efficiency.
> Perfect fit for the use cases that:
> 1. has mostly date-based date write and scan and a focus on the most recent data. 
> 2. never or rarely deletes data.
> Out-of-order writes are handled gracefully. Time range overlapping among store files
is tolerated and the performance impact is minimized.
> Configuration can be set at hbase-site.xml or overriden at per-table or per-column-famly
level by hbase shell.
> Design spec is at https://docs.google.com/document/d/1_AmlNb2N8Us1xICsTeGDLKIqL6T-oHoRLZ323MG_uy8/edit?usp=sharing
> Results in our production is at https://docs.google.com/document/d/1GqRtQZMMkTEWOijZc8UCTqhACNmdxBSjtAQSYIWsmGU/edit#



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