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" 
<onei...@dnb.com.INVALID> 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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