[
https://issues.apache.org/jira/browse/SPARK-8311?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14582741#comment-14582741
]
Patrick Wendell commented on SPARK-8311:
----------------------------------------
Is this related to or the same as SPARK-8057?
> saveAsTextFile with Hadoop1 could lead to errors
> ------------------------------------------------
>
> Key: SPARK-8311
> URL: https://issues.apache.org/jira/browse/SPARK-8311
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.3.1
> Reporter: Shivaram Venkataraman
>
> I've run into this bug a couple of times and wanted to document things I have
> found so far in a JIRA. From what I see if an application is linked to
> Hadoop1 and running on a Spark 1.3.1 + Hadoop1 cluster then the
> saveAsTextFile call consistently fails with errors of the form
> {code}
> 15/06/11 19:47:10 WARN scheduler.TaskSetManager: Lost task 3.0 in stage 3.0
> (TID 13, ip-10-212-141-222.us-west-2.compute.internal):
> java.lang.IncompatibleClassChangeError: Found class
> org.apache.hadoop.mapreduce.TaskAttemptContext, but interface was expected
> at
> org.apache.spark.mapred.SparkHadoopMapRedUtil$.commitTask(SparkHadoopMapRedUtil.scala:95)
> at
> org.apache.spark.SparkHadoopWriter.commit(SparkHadoopWriter.scala:106)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$13.apply(PairRDDFunctions.scala:1082)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$13.apply(PairRDDFunctions.scala:1059)
> {code}
> This does not happen in 1.2.1
> I think the bug is caused by the following commit
> https://github.com/apache/spark/commit/fde6945417355ae57500b67d034c9cad4f20d240
> where we the function `commitTask` assumes that the mrTaskContext is always
> a `mapreduce.TaskContext` while it is a `mapred.TaskContext` in Hadoop1. But
> this is just a hypothesis as I haven't tried reverting this to see if the
> problem goes away
> cc [~liancheng]
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
