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https://issues.apache.org/jira/browse/SPARK-7909?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14563488#comment-14563488
 ] 

Matthew Goodman commented on SPARK-7909:
----------------------------------------

Thanks for the leads.  I had some major problems with the JIRA yesterday, was I 
alone in that?

[~shivaram] Where are the worker logs stored?

[~davies] I didn't see any of the RC binaries for spark in the EC2 in the s3 
bucket:
https://github.com/mesos/spark-ec2/blob/branch-1.4/spark/init.sh
http://s3.amazonaws.com/spark-related-packages/

Is there somewhere else they are stored?  

I recall seeing the RC branches in github, but that appears to have just 
dissapeared, and the branch-1.4 no longer has a RC.  Is the release happening 
today or some such? 

The first thing I did was [add the 1.3.1| 
https://github.com/3Scan/spark-ec2/commit/08d210dc8d44c07383e46fcd303c8f0c20828bcf]
 build that I found there, and try that.  That didn't feature any of the py3 
support, and crashes fast and early.  Next I had it build from a checkout of 
the current master, which is where the above errors come from. To get a source 
build to work, I had to make [this change | 
https://github.com/3Scan/spark-ec2/commit/3416dd07c492b0cddcc98c4fa83f9e4284ed8fc9],
 and at least one other . . . to be determined following sorting out the above 
trace.  

> spark-ec2 and associated tools not py3 ready
> --------------------------------------------
>
>                 Key: SPARK-7909
>                 URL: https://issues.apache.org/jira/browse/SPARK-7909
>             Project: Spark
>          Issue Type: Improvement
>          Components: EC2
>         Environment: ec2 python3
>            Reporter: Matthew Goodman
>
> At present there is not a possible permutation of tools that supports Python3 
> on both the launching computer and running cluster.  There are a couple 
> problems involved:
>  - There is no prebuilt spark binary with python3 support.
>  - spark-ec2/spark/init.sh contains inline py3 unfriendly print statements
>  - Config files for cluster processes don't seem to make it to all nodes in a 
> working format.
> I have fixes for some of this, but the config and running context debugging 
> remains elusive to me.  



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