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https://issues.apache.org/jira/browse/HDFS-9090?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14747311#comment-14747311
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Steve Loughran commented on HDFS-9090:
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moved to improvement. Generally work is balanced enough across a cluster that
you don't get overloaded nodes; presumably this is a deployment where you have
some servers dedicated to a specific role, rather than having YARN place it
wherever it chooses.
FWIW, a lot of Hadoop clusters have 'edge nodes'/'ingest nodes' that (a) don't
have any local DN and (b) are sometimes hooked straight to the toplevel switch
at 10 Gb/s, so get great performance scattering data across the cluster
> Write hot data on few nodes may cause performance issue
> -------------------------------------------------------
>
> Key: HDFS-9090
> URL: https://issues.apache.org/jira/browse/HDFS-9090
> Project: Hadoop HDFS
> Issue Type: Improvement
> Affects Versions: 2.3.0
> Reporter: He Tianyi
> Assignee: He Tianyi
>
> (I am not sure whether this should be reported as BUG, feel free to modify
> this)
> Current block placement policy makes best effort to guarantee first replica
> on local node whenever possible.
> Consider the following scenario:
> 1. There are 500 datanodes across plenty of racks,
> 2. Raw user action log (just an example) are being written only on 10 nodes,
> which also have datanode deployed locally,
> 3. Then, before any balance, all these logs will have at least one replica in
> 10 nodes, implying one thirds data read on these log will be served by these
> 10 nodes if repl factor is 3, performance suffers.
> I propose to solve this scenario by introducing a configuration entry for
> client to disable arbitrary level of write locality.
> Then we can either (A) add local nodes to excludedNodes, or (B) tell NameNode
> the locality we prefer.
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