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From Annabel Melongo <melongo_anna...@yahoo.com.INVALID>
Subject Re: Run Yarn/Hadoop jar without first unjarring to /tmp folder?
Date Fri, 08 Jan 2016 21:57:23 GMT
O'Neill,
Yes, you can submit your job with jars without unpacking and depending on your cluster environment,
the jars will or will not be automatically copied. This topic was discussed in this mailing
list about two weeks ago. Please read Andrew Or's explanations, on Tuesday Dec. 20th, 2015,
on how the Spark framework  accomplishes this:
Re: Can't submit job to stand alone cluster

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| Re: Can't submit job to stand alone clusterLet me clarify a few things for everyone: There
are three *cluster managers*: standalone, YARN, and Mesos. Each cluster manager can run in
two *deploy modes*, clie... |
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    On Friday, January 8, 2016 2:44 PM, "O'Neill, Paul" <OneillP@dnb.com.INVALID> wrote:
 

  <!--#yiv5999690184 _filtered #yiv5999690184 {font-family:"Cambria Math";panose-1:2 4
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{margin:72.0pt 72.0pt 72.0pt 72.0pt;}#yiv5999690184 div.yiv5999690184WordSection1 {}-->Hey,
   Is it possible to execute a jar without unjarring ro /tmp first? We have large Shaded
jars are so are running out of inode space on /tmp.       I can execute without unpacking
via java –jar and adding the output from “yarn classpath” however I am missing all the
options that are set via the YARN script.    Is there anyway to do this other than manually
duplicating the entries in yarn script?       Also, is it possible to change where the jars
are unpacked to without also changing the Hadoop.tmp.dir across all the data nodes? It seems
like these should be unrelated properties?    Cheers.        Paul O’Neill Principal Engineer
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