[jira] [Created] (BEAM-112) Using non-IntervalWindows seems to fail

["Ben Chambers (JIRA)" <ji...@apache.org>]

Ben Chambers created BEAM-112:
---------------------------------

             Summary: Using non-IntervalWindows seems to fail
                 Key: BEAM-112
                 URL: https://issues.apache.org/jira/browse/BEAM-112
             Project: Beam
          Issue Type: Bug
          Components: runner-spark
            Reporter: Ben Chambers
            Assignee: Amit Sela
            Priority: Minor


See here for more details: http://stackoverflow.com/questions/35993777/globalwindow-cannot-be-cast-to-intervalwindow

The linked stack trace indicates this is using the Spark Runner:

{noformat:title=Exception}
java.lang.ClassCastException: com.google.cloud.dataflow.sdk.transforms.windowing.GlobalWindow cannot be cast to com.google.cloud.dataflow.sdk.transforms.windowing.IntervalWindow
    at com.google.cloud.dataflow.sdk.transforms.windowing.IntervalWindow$IntervalWindowCoder.encode(IntervalWindow.java:171)
    at com.google.cloud.dataflow.sdk.coders.IterableLikeCoder.encode(IterableLikeCoder.java:113)
    at com.google.cloud.dataflow.sdk.coders.IterableLikeCoder.encode(IterableLikeCoder.java:59)
    at com.google.cloud.dataflow.sdk.util.WindowedValue$FullWindowedValueCoder.encode(WindowedValue.java:599)
    at com.google.cloud.dataflow.sdk.util.WindowedValue$FullWindowedValueCoder.encode(WindowedValue.java:540)
    at com.cloudera.dataflow.spark.CoderHelpers.toByteArray(CoderHelpers.java:48)
    at com.cloudera.dataflow.spark.CoderHelpers$3.call(CoderHelpers.java:134)
    at com.cloudera.dataflow.spark.CoderHelpers$3.call(CoderHelpers.java:131)
    at org.apache.spark.api.java.JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:1018)
    at org.apache.spark.api.java.JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:1018)
    at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
    at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:149)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
    at org.apache.spark.scheduler.Task.run(Task.scala:89)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)
{noformat}

It seems likely that at some point the Spark runner is assuming that all windows are IntervalWindows, which may not be true. Specifically the GlobalWindow+Triggers is valid, as is any custom implementation of BoundedWindow.



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