Thanks Annabel,

That link seems to be specific to spark, how do I do this with yarn?

From: Annabel Melongo
Sent: Friday 8 January 21:58
Subject: Re: Run Yarn/Hadoop jar without first unjarring to /tmp folder?
To: [email protected]

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<https://www.mail-archive.com/[email protected]/msg43223.html>















Re: Can't submit job to stand alone 
cluster<https://www.mail-archive.com/[email protected]/msg43223.html>

Let 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...

View on 
www.mail-archive.com<https://www.mail-archive.com/[email protected]/msg43223.html>

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On Friday, January 8, 2016 2:44 PM, "O'Neill, Paul" <[email protected]> 
wrote:


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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