[jira] [Resolved] (SPARK-2020) Spark 1.0.0 fails to run in coarse-grained mesos mode

["Patrick Wendell (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-2020?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Patrick Wendell resolved SPARK-2020.
------------------------------------

    Resolution: Duplicate

> Spark 1.0.0 fails to run in coarse-grained mesos mode
> -----------------------------------------------------
>
>                 Key: SPARK-2020
>                 URL: https://issues.apache.org/jira/browse/SPARK-2020
>             Project: Spark
>          Issue Type: Bug
>          Components: Mesos
>    Affects Versions: 1.0.0
>         Environment: Ubuntu 14.04, 64-bit
> 8GB RAM
>            Reporter: Ajay Viswanathan
>
> I am using Mesos to run Spark applications on a cluster.
> Earlier, in Spark 0.9.1 and below, I could run tasks in coarse-grained more on the workers; but now, when I try to do the same in Spark 1.0.0, I get an exception preventing me from running the tasks. Fine-grained mode works fine in Spark 1.0.0 though.
> Snippet of stderr - 
> Executor registered on slave
> Exception in thread "main" java.lang.NumberFormatException: For input string: "<ip>"
>         at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
>         at java.lang.Integer.parseInt(Integer.java:492)
>         at java.lang.Integer.parseInt(Integer.java:527)
>         at scala.collection.immutable.StringLike$class.toInt(StringLike.scala:229)
>         at scala.collection.immutable.StringOps.toInt(StringOps.scala:31)
>         at org.apache.spark.executor.CoarseGrainedExecutorBackend$.main(CoarseGrainedExecutorBackend.scala:135)
>         at org.apache.spark.executor.CoarseGrainedExecutorBackend.main(CoarseGrainedExecutorBackend.scala)
> Running the spark application connected to mesos master throws an error - Is Spark installed on it?



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