Hi All,
We are using ALS.train to generate a model for predictions. We are using
DStream[] to collect the predicted output and then trying to dump in a
text file using these two approaches dstream.saveAsTextFiles() and
dstream.foreachRDD(rdd=>rdd.saveAsTextFile).But both these approaches are
giving us the following error :
Exception in thread "main" org.apache.spark.SparkException: Job aborted
due to stage failure: Task 1.0:0 failed 1 times, most recent failure:
Exception failure in TID 0 on host localhost: scala.MatchError: null
org.apache.spark.rdd.PairRDDFunctions.lookup(PairRDDFunctions.scala:571)
org.apache.spark.mllib.recommendation.MatrixFactorizationModel.predict(MatrixFactorizationModel.scala:43)
MyOperator$$anonfun$7.apply(MyOperator.scala:213)
MyOperator$$anonfun$7.apply(MyOperator.scala:180)
scala.collection.Iterator$$anon$11.next(Ite
rator.scala:328)
scala.collection.Iterator$class.foreach(Iterator.scala:727)
scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:107)
org.apache.spark.rdd.RDD.iterator(RDD.scala:227)
org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
org.apache.spark.scheduler.Task.run(Task.scala:51)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:744)
We tried it in both spark 0.9.1 as well as 1.0.0 ;scala:2.10.3. Can
anybody help me with the issue.
Thank You
Regards
Honey Joshi
Ideata-Analytics
