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From "Hadoop QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-15181) A simple implementation of date based tiered compaction
Date Tue, 01 Mar 2016 21:53:18 GMT

    [ https://issues.apache.org/jira/browse/HBASE-15181?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15174478#comment-15174478
] 

Hadoop QA commented on HBASE-15181:
-----------------------------------

| (x) *{color:red}-1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
| {color:red}-1{color} | {color:red} patch {color} | {color:red} 0m 7s {color} | {color:red}
HBASE-15181 does not apply to master. Rebase required? Wrong Branch? See https://yetus.apache.org/documentation/latest/precommit-patchnames
for help. {color} |
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|| Subsystem || Report/Notes ||
| JIRA Patch URL | https://issues.apache.org/jira/secure/attachment/12790785/HBASE-15181-0.98-ADD.patch
|
| JIRA Issue | HBASE-15181 |
| Powered by | Apache Yetus 0.1.0   http://yetus.apache.org |
| Console output | https://builds.apache.org/job/PreCommit-HBASE-Build/781/console |


This message was automatically generated.



> 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, 0.98.19
>
>         Attachments: HBASE-15181-0.98-ADD.patch, HBASE-15181-0.98.patch, HBASE-15181-0.98.v4.patch,
HBASE-15181-98.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



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