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Posted to issues@hbase.apache.org by "Ted Yu (JIRA)" <ji...@apache.org> on 2018/01/13 00:32:00 UTC

[jira] [Comment Edited] (HBASE-19528) Major Compaction Tool

    [ https://issues.apache.org/jira/browse/HBASE-19528?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16324769#comment-16324769 ] 

Ted Yu edited comment on HBASE-19528 at 1/13/18 12:31 AM:
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If there is exception thrown (client side) when MajorCompactor is running, how is cleanup done (closing connection, etc) ?


was (Author: yuzhihong@gmail.com):
If user presses Ctrl+C when MajorCompactor is running, how is cleanup done (closing connection, etc) ?

> Major Compaction Tool 
> ----------------------
>
>                 Key: HBASE-19528
>                 URL: https://issues.apache.org/jira/browse/HBASE-19528
>             Project: HBase
>          Issue Type: New Feature
>            Reporter: churro morales
>            Assignee: churro morales
>             Fix For: 2.0.0, 3.0.0
>
>         Attachments: HBASE-19528.patch, HBASE-19528.v1.patch
>
>
> The basic overview of how this tool works is:
> Parameters:
>     Table
>     Stores
>     ClusterConcurrency
>     Timestamp
> So you input a table, desired concurrency and the list of stores you wish to major compact.  The tool first checks the filesystem to see which stores need compaction based on the timestamp you provide (default is current time).  It takes that list of stores that require compaction and executes those requests concurrently with at most N distinct RegionServers compacting at a given time.  Each thread waits for the compaction to complete before moving to the next queue.  If a region split, merge or move happens this tool ensures those regions get major compacted as well. 
> This helps us in two ways, we can limit how much I/O bandwidth we are using for major compaction cluster wide and we are guaranteed after the tool completes that all requested compactions complete regardless of moves, merges and splits. 



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