[jira] [Commented] (KYLIN-1021) upload dependent jars of kylin to HDFS and set tmpjars

["Shaofeng SHI (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/KYLIN-1021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14738290#comment-14738290 ] 

Shaofeng SHI commented on KYLIN-1021:
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Hi fengYu, can you upload a patch, let's see how you implemented that? In our env (maybe most of the envs) all hadoop nodes have the same classpath, and the hive/hbase jar files already exists in every machine, so we only need to get the jar path from one machine and then set it to the mapreduce classpath, so we don't have your problem. BTW, upload jar to HDFS can be a manual and one-time effort, no need to add that step into Kylin, but we can add a parameter in kylin.properties pointing to that path.

> upload dependent jars of kylin to HDFS and set tmpjars
> ------------------------------------------------------
>
>                 Key: KYLIN-1021
>                 URL: https://issues.apache.org/jira/browse/KYLIN-1021
>             Project: Kylin
>          Issue Type: Improvement
>    Affects Versions: v1.0
>            Reporter: fengYu
>
> As [~Shaofengshi] says in maillist : Regrading your question about the jar files located in local disk instead of HDFS, yes the hadoop/hive/hbase jars should exist in local disk on each machine of the hadoop cluster, with the same locations; Kylin will not upload those jars; Please check and ensure the consistency of your hadoop cluster.
> However, our hadoop cluster is managed by hadoop administrator, we have no right to login those machine, even though we have the right, copy all files to hundreds of machine will be a painful job(I do not know is there any tools can do the job well).
> By the way, I can not get any tips about you measure(If you has the document， tell me)...
> I change my source code and create a directory in kylin tmp directory(kylin.hdfs.working.dir/kylin_metadata) and upload all jars to the directory if the directory is empty(it only happened at the first time) when submitting a mapreduce job, then set those locations to tmpjars of the mapreduce job(just like kylin set tmpfiles before submit job), This is automated and make kylin deploying easier..



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