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https://issues.apache.org/jira/browse/SPARK-10319?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15852760#comment-15852760
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Jonas Anso Castranado commented on SPARK-10319:
-----------------------------------------------
Just had the same problem running the MovieLensALS example in Scala with a
fresh install of spark 2.1.0 on Mac
It fails with numIterations 20 reducing the numIterations to 10 works perfectly.
No need to reopen the ticket, just commented to inform that the same issue
happens with the Scala example.
> ALS training using PySpark throws a StackOverflowError
> ------------------------------------------------------
>
> Key: SPARK-10319
> URL: https://issues.apache.org/jira/browse/SPARK-10319
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.4.1
> Environment: Windows 10, spark - 1.4.1,
> Reporter: Velu nambi
>
> When attempting to train a machine learning model using ALS in Spark's MLLib
> (1.4) on windows, Pyspark always terminates with a StackoverflowError. I
> tried adding the checkpoint as described in
> http://stackoverflow.com/a/31484461/36130 -- doesn't seem to help.
> Here's the training code and stack trace:
> {code:none}
> ranks = [8, 12]
> lambdas = [0.1, 10.0]
> numIters = [10, 20]
> bestModel = None
> bestValidationRmse = float("inf")
> bestRank = 0
> bestLambda = -1.0
> bestNumIter = -1
> for rank, lmbda, numIter in itertools.product(ranks, lambdas, numIters):
> ALS.checkpointInterval = 2
> model = ALS.train(training, rank, numIter, lmbda)
> validationRmse = computeRmse(model, validation, numValidation)
> if (validationRmse < bestValidationRmse):
> bestModel = model
> bestValidationRmse = validationRmse
> bestRank = rank
> bestLambda = lmbda
> bestNumIter = numIter
> testRmse = computeRmse(bestModel, test, numTest)
> {code}
> Stacktrace:
> 15/08/27 02:02:58 ERROR Executor: Exception in task 3.0 in stage 56.0 (TID
> 127)
> java.lang.StackOverflowError
> at java.io.ObjectInputStream$BlockDataInputStream.readInt(Unknown Source)
> at java.io.ObjectInputStream.readHandle(Unknown Source)
> at java.io.ObjectInputStream.readClassDesc(Unknown Source)
> at java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
> at java.io.ObjectInputStream.readObject0(Unknown Source)
> at java.io.ObjectInputStream.defaultReadFields(Unknown Source)
> at java.io.ObjectInputStream.readSerialData(Unknown Source)
> at java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
> at java.io.ObjectInputStream.readObject0(Unknown Source)
> at java.io.ObjectInputStream.defaultReadFields(Unknown Source)
> at java.io.ObjectInputStream.readSerialData(Unknown Source)
> at java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
> at java.io.ObjectInputStream.readObject0(Unknown Source)
> at java.io.ObjectInputStream.defaultReadFields(Unknown Source)
> at java.io.ObjectInputStream.readSerialData(Unknown Source)
> at java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
> at java.io.ObjectInputStream.readObject0(Unknown Source)
> at java.io.ObjectInputStream.readObject(Unknown Source)
> at scala.collection.immutable.$colon$colon.readObject(List.scala:362)
> at sun.reflect.GeneratedMethodAccessor11.invoke(Unknown Source)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
> at java.lang.reflect.Method.invoke(Unknown Source)
> at java.io.ObjectStreamClass.invokeReadObject(Unknown Source)
> at java.io.ObjectInputStream.readSerialData(Unknown Source)
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