Github user pauloangelo commented on the pull request:
https://github.com/apache/spark/pull/1229#issuecomment-147232717
Hi all,
I'm getting similar problem using kmeans clustering with Spark-1.5.1. The
stacktrace is below.
To overcome the problem, I'm setting runs=1, which is not good, because the
job is not executed in parallel.
```
kmeans.setRuns(1)
```
Any clue?
Thank you in advance.
```
Driver stacktrace:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 2
in stage 5.0 failed 4 times, most recent failure: Lost task 2.3 in stage 5.0
(TID 18, combate): org.apache.spark.SparkException: Can only zip RDDs with same
number of elements in each partition
at
org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$1.hasNext(RDD.scala:832)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1553)
at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1121)
at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1121)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1848)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1848)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1283)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1271)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1270)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1822)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1835)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1848)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1919)
at org.apache.spark.rdd.RDD.count(RDD.scala:1121)
at org.apache.spark.rdd.RDD.takeSample(RDD.scala:485)
at
org.apache.spark.mllib.clustering.KMeans.initKMeansParallel(KMeans.scala:376)
at
org.apache.spark.mllib.clustering.KMeans.runAlgorithm(KMeans.scala:249)
at org.apache.spark.mllib.clustering.KMeans.run(KMeans.scala:213)
at org.hogzilla.dns.HogDNS$.kmeans(HogDNS.scala:194)
at org.hogzilla.dns.HogDNS$.run(HogDNS.scala:73)
at Hogzilla$.main(Hogzilla.scala:47)
at Hogzilla.main(Hogzilla.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at
org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:525)
```
Some good links are:
https://github.com/apache/spark/blob/f0f563a3c43fc9683e6920890cce44611c0c5f4b/mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala#L376
https://github.com/apache/spark/blob/f0f563a3c43fc9683e6920890cce44611c0c5f4b/core/src/main/scala/org/apache/spark/rdd/RDD.scala#L473
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