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"
<[email protected]> wrote:
<!--#yiv5999690184 _filtered #yiv5999690184 {font-family:"Cambria
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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 The Chase Building, 5th Floor Carmanhall Road, Sandyford,
Dublin 18, Ireland Direct +353 1 256 6090 Mobile +353 86 835 4084
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