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https://issues.apache.org/jira/browse/SPARK-524?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sean Owen resolved SPARK-524.
-----------------------------
    Resolution: Won't Fix

I'm testing whether contributors can in fact close others JIRAs. It seems clear 
this one is stale and possibly already resolved.

I'm also interested in how comfortable people are with people like me modifying 
JIRAs where it seems like there is a clear update or status change that needs 
to happen, like, it's clearly already resolved and needs to be marked as such?

> spark integration issue with Cloudera hadoop
> --------------------------------------------
>
>                 Key: SPARK-524
>                 URL: https://issues.apache.org/jira/browse/SPARK-524
>             Project: Spark
>          Issue Type: Bug
>            Reporter: openreserach
>
> Hi, 
> 1. I am using single EC2 instance with pre-built mesos (ami-0fcb7966) (Same 
> issue if I build mesos from source code in locall VM)
> 2. Follow instruction on 
> https://github.com/mesos/spark/wiki/Running-spark-on-mesos with some tweaks.
> 3. I install Cloudera cdhu5 by yum (not using pre-built hadoop due to lack of 
> document)
> 4. ./spartk-shell.sh
> import spark._
> val sc = new SparkContext("localhost:5050","passwd")
> val ec2 = sc.textFile("hdfs://localhost:8020/tmp/passwd")
> IF I keep val HADOOP_VERSION = "0.20.205.0" in project/SparkBuild.scala
> at val file = sc.textFile("hdfs://localhost:8020/tmp/passwd")
> I am getting error
> Protocol org.apache.hadoop.hdfs.protocol.ClientProtocol version mismatch. 
> (client = 61, server = 63)
> IF I set val HADOOP_VERSION = "0.20.2-cdh3u5" or val HADOOP_VERSION = 
> "0.20.2-cdh3u3" 
> I am getting error at  ec2.count()
> ERROR spark.SimpleJob: Task 0:0 failed more than 4 times; aborting job
> like the one reported at 
> http://mail-archives.apache.org/mod_mbox/incubator-mesos-dev/201108.mbox/%[email protected]%3E
> Please let me know if you cannot replicate this error, and give more 
> instruction on how Spark integrate with Cloudera Hadoop 
> Thanks
> -QH



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