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Posted to user@spark.apache.org by santhoma <sa...@yahoo.com> on 2014/03/27 08:58:33 UTC
Re: Configuring distributed caching with Spark and YARN
Curious to know, were you able to do distributed caching for spark?
I have done that for hadoop and pig, but could not find a way to do it in
spark
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Re: Configuring distributed caching with Spark and YARN
Posted by santhoma <sa...@yahoo.com>.
I think with addJar() there is no 'caching', in the sense files will be
copied everytime per job.
Whereas in hadoop distributed cache, files will be copied only once, and a
symlink will be created to the cache file for subsequent runs:
https://hadoop.apache.org/docs/r2.2.0/api/org/apache/hadoop/filecache/DistributedCache.html
Also,hadoop distributed cache can copy an archive file to the node and
unzip it automatically to current working dir. The advantage here is that
the copying will be very fast..
Still looking for similar mechanisms in SPARK
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Re: Configuring distributed caching with Spark and YARN
Posted by Mayur Rustagi <ma...@gmail.com>.
is this equivalent to addjar?
Mayur Rustagi
Ph: +1 (760) 203 3257
http://www.sigmoidanalytics.com
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On Thu, Mar 27, 2014 at 3:58 AM, santhoma <sa...@yahoo.com> wrote:
> Curious to know, were you able to do distributed caching for spark?
>
> I have done that for hadoop and pig, but could not find a way to do it in
> spark
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/Configuring-distributed-caching-with-Spark-and-YARN-tp1074p3325.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>