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From "Vladimir Rodionov (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-15181) A simple implementation of date based tiered compaction
Date Mon, 01 Feb 2016 19:45:39 GMT

    [ https://issues.apache.org/jira/browse/HBASE-15181?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15126893#comment-15126893
] 

Vladimir Rodionov commented on HBASE-15181:
-------------------------------------------

Thanks for the patch, [~claraxiong]

You still rely on default major compaction for bulk loaded files, periodic major compactions
are disabled, therefore the only way to compact bulk loaded files is to force major compaction
manually. For many applications the new compaction policy won't give much benefit - they periodically
do batch load and they will have to run major compaction after on a daily basis. Have you
thought about 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
>
>         Attachments: 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 so the data will still get to the right store
file for time-range-scan and re-compacton with existing store file in the same time window
is handled by ExploringCompactionPolicy.
> Time range overlapping among store files is tolerated and the performance impact is minimized.
> Configuration can be set at hbase-site 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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