Stage failure about rumble HOT 4 CLOSED

When running the NestsVars.iq test file on a real cluster, this happens. Nests might be broken completely.

from rumble.

org.apache.spark.SparkException: Job aborted due to stage failure: Failed to serialize task 3, not attempting to retry it. Exception during serialization: java.io.NotSerializableException: sparksoniq.jsoniq.item.IntegerItem
Serialization stack:
- object not serializable (class: sparksoniq.jsoniq.item.IntegerItem, value: sparksoniq.jsoniq.item.IntegerItem@2ea54d29)
- element of array (index: 0)
- array (class [Ljava.lang.Object;, size 1)
- field (class: scala.collection.mutable.WrappedArray$ofRef, name: array, type: class [Ljava.lang.Object;)
- object (class scala.collection.mutable.WrappedArray$ofRef, WrappedArray(sparksoniq.jsoniq.item.IntegerItem@2ea54d29))
- writeObject data (class: org.apache.spark.rdd.ParallelCollectionPartition)
- object (class org.apache.spark.rdd.ParallelCollectionPartition, org.apache.spark.rdd.ParallelCollectionPartition@694)
- field (class: org.apache.spark.scheduler.ResultTask, name: partition, type: interface org.apache.spark.Partition)
- object (class org.apache.spark.scheduler.ResultTask, ResultTask(0, 3))
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1928)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1941)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1954)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1968)
at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
at org.apache.spark.api.java.JavaRDDLike$class.collect(JavaRDDLike.scala:361)
at org.apache.spark.api.java.AbstractJavaRDDLike.collect(JavaRDDLike.scala:45)
at sparksoniq.spark.iterator.SparkRuntimeIterator.next(SparkRuntimeIterator.java:70)
at sparksoniq.spark.closures.LetClauseMapClosure.call(LetClauseMapClosure.java:44)
at sparksoniq.spark.closures.LetClauseMapClosure.call(LetClauseMapClosure.java:31)
at org.apache.spark.api.java.JavaPairRDD$$anonfun$toScalaFunction$1.apply(JavaPairRDD.scala:1040)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434)
at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:389)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
at scala.collection.AbstractIterator.to(Iterator.scala:1336)
at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336)
at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
at scala.collection.AbstractIterator.toArray(Iterator.scala:1336)
at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1354)
at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1354)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1954)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1954)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)

from rumble.

Query now succeeds and returns:
[ { "nb" : 1, "state" : "MA", "sold" : "broiler" }, { "nb" : 1, "state" : "MA", "sold" : "socks" }, { "nb" : 2, "state" : "MA", "sold" : "toaster" }, { "nb" : 2, "state" : "MA", "sold" : "toaster" }, { "nb" : 2, "state" : "MA", "sold" : "socks" }, { "nb" : 3, "state" : "CA", "sold" : "toaster" }, { "nb" : 3, "state" : "CA", "sold" : "blender" }, { "nb" : 3, "state" : "CA", "sold" : "blender" }, { "nb" : 3, "state" : "CA", "sold" : "shirt" } ]

from rumble.

Marvellous! So good to see so many issues solved. You did a great job with the local FLWORs.

from rumble.