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https://issues.apache.org/jira/browse/HDFS-12946?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16678331#comment-16678331
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Hadoop QA commented on HDFS-12946:
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| (x) *{color:red}-1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m
0s{color} | {color:blue} Docker mode activated. {color} |
| {color:red}-1{color} | {color:red} patch {color} | {color:red} 0m 7s{color}
| {color:red} HDFS-12946 does not apply to trunk. Rebase required? Wrong
Branch? See https://wiki.apache.org/hadoop/HowToContribute for help. {color} |
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|| Subsystem || Report/Notes ||
| JIRA Issue | HDFS-12946 |
| JIRA Patch URL |
https://issues.apache.org/jira/secure/attachment/12947232/HDFS-12946.08.patch |
| Console output |
https://builds.apache.org/job/PreCommit-HDFS-Build/25458/console |
| Powered by | Apache Yetus 0.8.0 http://yetus.apache.org |
This message was automatically generated.
> Add a tool to check rack configuration against EC policies
> ----------------------------------------------------------
>
> Key: HDFS-12946
> URL: https://issues.apache.org/jira/browse/HDFS-12946
> Project: Hadoop HDFS
> Issue Type: Improvement
> Components: erasure-coding
> Reporter: Xiao Chen
> Assignee: Kitti Nanasi
> Priority: Major
> Attachments: HDFS-12946.01.patch, HDFS-12946.02.patch,
> HDFS-12946.03.patch, HDFS-12946.04.fsck.patch, HDFS-12946.05.patch,
> HDFS-12946.06.patch, HDFS-12946.07.patch, HDFS-12946.08.patch
>
>
> From testing we have seen setups with problematic racks / datanodes that
> would not suffice basic EC usages. These are usually found out only after the
> tests failed.
> We should provide a way to check this beforehand.
> Some scenarios:
> - not enough datanodes compared to EC policy's highest data+parity number
> - not enough racks to satisfy BPPRackFaultTolerant
> - highly uneven racks to satisfy BPPRackFaultTolerant
> - highly uneven racks (so that BPP's considerLoad logic may exclude some busy
> nodes on the rack, resulting in #2)
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