[jira] [Created] (SPARK-10773) Repartition operation failing on RDD with "argument type mismatch" error

["Da Fox (JIRA)" <ji...@apache.org>]

Da Fox created SPARK-10773:
------------------------------

             Summary: Repartition operation failing on RDD with "argument type mismatch" error
                 Key: SPARK-10773
                 URL: https://issues.apache.org/jira/browse/SPARK-10773
             Project: Spark
          Issue Type: Bug
          Components: Spark Core
    Affects Versions: 1.4.1
            Reporter: Da Fox


Hello,

Erorr occures in following Spark application:
{code}
object RunSpark {
    def main(args: Array[String]) {
        val sparkContext: SparkContext = new SparkContext()
        val data: RDD[String] = sparkContext.textFile("banana-big.tsv")
        val repartitioned: RDD[String] = data.repartition(5)
        val mean: Double = repartitioned
            .groupBy((s: String) => s.split("\t")(1))
            .mapValues((strings: Iterable[String]) =>strings.size)
            .values.mean()
        println(mean)
    }
}
{code}
The exception:
{code}
Exception in thread "main" java.lang.IllegalArgumentException: argument type mismatch
	at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
	at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
	at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
	at java.lang.reflect.Constructor.newInstance(Constructor.java:422)
	at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$instantiateClass(ClosureCleaner.scala:330)
	at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$22.apply(ClosureCleaner.scala:268)
	at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$22.apply(ClosureCleaner.scala:262)
	at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
	at scala.collection.immutable.List.foreach(List.scala:318)
	at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771)
	at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:262)
	at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:132)
	at org.apache.spark.SparkContext.clean(SparkContext.scala:1893)
	at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1.apply(RDD.scala:700)
	at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1.apply(RDD.scala:699)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
	at org.apache.spark.rdd.RDD.withScope(RDD.scala:286)
	at org.apache.spark.rdd.RDD.mapPartitionsWithIndex(RDD.scala:699)
	at org.apache.spark.rdd.RDD$$anonfun$coalesce$1.apply(RDD.scala:381)
	at org.apache.spark.rdd.RDD$$anonfun$coalesce$1.apply(RDD.scala:367)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
	at org.apache.spark.rdd.RDD.withScope(RDD.scala:286)
	at org.apache.spark.rdd.RDD.coalesce(RDD.scala:366)
	at org.apache.spark.rdd.RDD$$anonfun$repartition$1.apply(RDD.scala:342)
	at org.apache.spark.rdd.RDD$$anonfun$repartition$1.apply(RDD.scala:342)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
	at org.apache.spark.rdd.RDD.withScope(RDD.scala:286)
	at org.apache.spark.rdd.RDD.repartition(RDD.scala:341)
	at repartitionissue.RunSpark$.main(RunSpark.scala:10)
	at repartitionissue.RunSpark.main(RunSpark.scala)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:497)
	at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:665)
	at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:170)
	at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:193)
	at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:112)
	at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
{code}

Application is executed using spark-submit on Yarn hadoop 2.7 with yarn-client mode. When i run same application using spark-shell it's completed successfully.
I suspect problem is in code in Spark Utils's ClosureCleaner.class (can be found in stack trace). The method in code of ClosureCleaner distinguish between REPL (spark-shell) and spark-submit . When application is executed on Spark 1.3.1 no error occured and computation is successful.




--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org