[jira] [Updated] (SPARK-1498) Spark can hang if pyspark tasks fail

["Xiangrui Meng (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-1498?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng updated SPARK-1498:
---------------------------------

    Fix Version/s:     (was: 0.9.2)

> Spark can hang if pyspark tasks fail
> ------------------------------------
>
>                 Key: SPARK-1498
>                 URL: https://issues.apache.org/jira/browse/SPARK-1498
>             Project: Spark
>          Issue Type: Bug
>    Affects Versions: 0.9.0
>            Reporter: Kay Ousterhout
>
> In pyspark, when some kinds of jobs fail, Spark hangs rather than returning an error.  This is partially a scheduler problem -- the scheduler sometimes thinks failed tasks succeed, even though they have a stack trace and exception.
> You can reproduce this problem with:
> ardd = sc.parallelize([(1,2,3), (4,5,6)])
> brdd = sc.parallelize([(1,2,6), (4,5,9)])
> ardd.join(brdd).count()
> The last line will run forever (the problem in this code is that the RDD entries have 3 values instead of the expected 2).  I haven't verified if this is a problem for 1.0 as well as 0.9.
> Thanks to Shivaram for helping diagnose this issue!



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