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Posted to issues@spark.apache.org by "Sandy Ryza (JIRA)" <ji...@apache.org> on 2014/05/11 00:13:18 UTC
[jira] [Created] (SPARK-1767) Prefer HDFS-cached replicas when
scheduling data-local tasks
Sandy Ryza created SPARK-1767:
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Summary: Prefer HDFS-cached replicas when scheduling data-local tasks
Key: SPARK-1767
URL: https://issues.apache.org/jira/browse/SPARK-1767
Project: Spark
Issue Type: Improvement
Components: Spark Core
Affects Versions: 1.0.0
Reporter: Sandy Ryza
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Re: [jira] [Created] (SPARK-1767) Prefer HDFS-cached replicas when
scheduling data-local tasks
Posted by Mridul Muralidharan <mr...@gmail.com>.
Hi Sandy,
I assume you are referring to caching added to datanodes via new caching
api via NN ? (To preemptively mmap blocks).
I have not looked in detail, but does NN tell us about this in block
locations?
If yes, we can simply make those process local instead of node local for
executors on that node.
This would simply be a change to hadoop based rdd partitioning (what makes
it tricky is to expose currently 'alive' executors to partition)
Thanks
Mridul
On 15-May-2014 3:49 am, "Sandy Ryza (JIRA)" <ji...@apache.org> wrote:
> Sandy Ryza created SPARK-1767:
> ---------------------------------
>
> Summary: Prefer HDFS-cached replicas when scheduling
> data-local tasks
> Key: SPARK-1767
> URL: https://issues.apache.org/jira/browse/SPARK-1767
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 1.0.0
> Reporter: Sandy Ryza
>
>
>
>
>
>
> --
> This message was sent by Atlassian JIRA
> (v6.2#6252)
>