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Posted to issues@spark.apache.org by "Jack Hu (JIRA)" <ji...@apache.org> on 2014/08/28 06:19:57 UTC
[jira] [Created] (SPARK-3274) Spark Streaming Java API reports
java.lang.ClassCastException when calling collectAsMap on JavaPairDStream
Jack Hu created SPARK-3274:
------------------------------
Summary: Spark Streaming Java API reports java.lang.ClassCastException when calling collectAsMap on JavaPairDStream
Key: SPARK-3274
URL: https://issues.apache.org/jira/browse/SPARK-3274
Project: Spark
Issue Type: Bug
Components: Java API
Affects Versions: 1.0.2
Reporter: Jack Hu
Reproduce code:
scontext
.socketTextStream("localhost", 18888)
.mapToPair(new PairFunction<String, String, String>(){
public Tuple2<String, String> call(String arg0)
throws Exception {
// TODO Auto-generated method stub
return new Tuple2<String, String>("1", arg0);
}
})
.foreachRDD(new Function2<JavaPairRDD<String, String>, Time, Void>() {
public Void call(JavaPairRDD<String, String> v1, Time v2) throws Exception {
System.out.println(v2.toString() + ": " + v1.collectAsMap().toString());
return null;
}
});
Exception:
java.lang.ClassCastException: [Ljava.lang.Object; cannot be cast to [Lscala.Tupl
e2;
at org.apache.spark.rdd.PairRDDFunctions.collectAsMap(PairRDDFunctions.s
cala:447)
at org.apache.spark.api.java.JavaPairRDD.collectAsMap(JavaPairRDD.scala:
464)
at tuk.usecase.failedcall.FailedCall$1.call(FailedCall.java:90)
at tuk.usecase.failedcall.FailedCall$1.call(FailedCall.java:88)
at org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$foreachR
DD$2.apply(JavaDStreamLike.scala:282)
at org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$foreachR
DD$2.apply(JavaDStreamLike.scala:282)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply$mc
V$sp(ForEachDStream.scala:41)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(Fo
rEachDStream.scala:40)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(Fo
rEachDStream.scala:40)
at scala.util.Try$.apply(Try.scala:161)
at org.apache.spark.streaming.scheduler.Job.run(Job.scala:32)
at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobS
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