hadoop-hdfs-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Kitti Nanasi (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HDFS-12946) Add a tool to check rack configuration against EC policies
Date Mon, 05 Nov 2018 18:51:00 GMT

    [ https://issues.apache.org/jira/browse/HDFS-12946?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16675588#comment-16675588
] 

Kitti Nanasi commented on HDFS-12946:
-------------------------------------

Thanks [~xiaochen] for the comments!

I fixed the comments except the first one, because if I add a read lock for that, it would
ruin the functionality introduced in https://issues.apache.org/jira/browse/HDFS-5693 so
I need some more time to figure out how to be thread safe while not locking the jmx calls.

> 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
>
>
> 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)



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: hdfs-issues-unsubscribe@hadoop.apache.org
For additional commands, e-mail: hdfs-issues-help@hadoop.apache.org


Mime
View raw message