[jira] [Updated] (SPARK-4778) PySpark Json and groupByKey broken

["Nicholas Chammas (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-4778?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Nicholas Chammas updated SPARK-4778:
------------------------------------
    Component/s:     (was: EC2)

> PySpark Json and groupByKey broken
> ----------------------------------
>
>                 Key: SPARK-4778
>                 URL: https://issues.apache.org/jira/browse/SPARK-4778
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 1.1.1
>         Environment: ec2 cluster launched from ec2 script
> pyspark
> c3.2xlarge 6 nodes
> hadoop major version 1
>            Reporter: Brad Willard
>
> When I run a groupByKey it seems to create a single tasks after the groupByKey that never stops executing. I'm loading a smallish json dataset that is 4 million records. This is the code I'm running. 
> rdd = sql_context.jsonFile(hdfs_uri) 
> rdd = rdd.cache() 
> grouped = rdd.map(lambda row: (row.id, row)).groupByKey(160) 
> grouped.take(1) 
> The groupByKey stage takes a few minutes which I'd expect. However the take operation never completes. It it hands indefinitely.
> This is what it looks like in UI
> http://cl.ly/image/2k1t3I253T0x
> The only work around I have at the moment is to run a map operation after I loaded from json to convert all the Row objects to python dictionary objects and then things work although the map operation is expensive.



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