Hi all,
I came across a really weird error on spark 1.6 (calling LDA from pyspark)
//data is [index, DenseVector]
data1 = corpusZippedDataFiltered.repartition(100).sample(False, 0.1, 100)
data2 = sc.parallelize(data1.collect().repartition(100)
ldaModel1 = LDA.train(data1, k=10, maxIterations=10)
ldaModel2 = LDA.train(data2, k=10, maxIterations=10)
ldaModel2 completes OK (with or without repartitioning), but ldaModel1 fails
with:
An error occurred while calling o1812.trainLDAModel.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 36
in stage 1681.0 failed 4 times, most recent failure: Lost task 36.3 in stage
1681.0 (TID 60425, ip-10-33-65-169.eu-west-1.compute.internal):
java.lang.NullPointerException
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1952)
at org.apache.spark.rdd.RDD$$anonfun$fold$1.apply(RDD.scala:1081)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
at org.apache.spark.rdd.RDD.fold(RDD.scala:1075)
at
org.apache.spark.mllib.clustering.EMLDAOptimizer.computeGlobalTopicTotals(LDAOptimizer.scala:205)
at
org.apache.spark.mllib.clustering.EMLDAOptimizer.next(LDAOptimizer.scala:192)
at
org.apache.spark.mllib.clustering.EMLDAOptimizer.next(LDAOptimizer.scala:80)
at org.apache.spark.mllib.clustering.LDA.run(LDA.scala:329)
at
org.apache.spark.mllib.api.python.PythonMLLibAPI.trainLDAModel(PythonMLLibAPI.scala:538)
at sun.reflect.GeneratedMethodAccessor123.invoke(Unknown Source)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)
at py4j.Gateway.invoke(Gateway.java:259)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:209)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.NullPointerException
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