I’ve created a CLI driver for a Spark version of a Mahout job called "item 
similarity" with several tests that all work fine on local[4] Spark standalone. 
The code even reads and writes to clustered HDFS. But switching to clustered 
Spark has a problem that seems tied to a broadcast and/or serialization.

The code uses HashBiMap, which is a Guava Java thing. There are two of these 
created for every Mahout drm (a distributed matrix), for bi-directional row and 
column ID lookup. They are created once and then broadcast for access 
everywhere.

When I run this on clustered Spark I get the following error. At one point we 
were using HashMaps and they seemed to work on the cluster. So I suspect 
something about the HashBiMap is causing the problem. I’m also suspicious that 
it may have to do with serialization in the broadcast. Here is a snippet of 
code and the error. 

Any ideas?

      // create BiMaps for bi-directional lookup of ID by either Mahout ID or 
external ID
      // broadcast them for access in distributed processes, so they are not 
recalculated in every task.
      // rowIDDictionary is a HashBiMap[String, Int]
      val rowIDDictionary = asOrderedDictionary(rowIDs) // this creates the 
HashBiMap in a non-dsitributed manner
      val rowIDDictionary_bcast = mc.broadcast(rowIDDictionary)

      val columnIDDictionary = asOrderedDictionary(columnIDs)) // this creates 
the HashBiMap in a non-dsitributed manner
      val columnIDDictionary_bcast = mc.broadcast(columnIDDictionary)

      val indexedInteractions =
        interactions.map { case (rowID, columnID) =>   //<<<<<<<<<<< this is 
the stage being submitted before the error
          val rowIndex = rowIDDictionary_bcast.value.get(rowID).get
          val columnIndex = columnIDDictionary_bcast.value.get(columnID).get

          rowIndex -> columnIndex
        }

The error seems to happen in executing interactions.map when accessing the 
_bcast vals. Any idea where to start looking for this?

14/06/26 11:23:36 INFO scheduler.DAGScheduler: Submitting Stage 9 
(MappedRDD[17] at map at TextDelimitedReaderWriter.scala:83), which has no 
missing parents
14/06/26 11:23:36 INFO scheduler.DAGScheduler: Submitting 2 missing tasks from 
Stage 9 (MappedRDD[17] at map at TextDelimitedReaderWriter.scala:83)
14/06/26 11:23:36 INFO scheduler.TaskSchedulerImpl: Adding task set 9.0 with 2 
tasks
14/06/26 11:23:36 INFO scheduler.TaskSetManager: Starting task 9.0:0 as TID 16 
on executor 0: occam4 (PROCESS_LOCAL)
14/06/26 11:23:36 INFO scheduler.TaskSetManager: Serialized task 9.0:0 as 2418 
bytes in 0 ms
14/06/26 11:23:36 INFO scheduler.TaskSetManager: Starting task 9.0:1 as TID 17 
on executor 0: occam4 (PROCESS_LOCAL)
14/06/26 11:23:36 INFO scheduler.TaskSetManager: Serialized task 9.0:1 as 2440 
bytes in 0 ms
14/06/26 11:23:36 WARN scheduler.TaskSetManager: Lost TID 16 (task 9.0:0)
14/06/26 11:23:36 WARN scheduler.TaskSetManager: Loss was due to 
java.lang.NullPointerException
java.lang.NullPointerException
        at com.google.common.collect.HashBiMap.seekByKey(HashBiMap.java:180)
        at com.google.common.collect.HashBiMap.put(HashBiMap.java:230)
        at com.google.common.collect.HashBiMap.put(HashBiMap.java:218)
        at 
com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:135)
        at 
com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:17)
        at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729)
        at 
org.apache.spark.serializer.KryoDeserializationStream.readObject(KryoSerializer.scala:102)
        at 
org.apache.spark.broadcast.HttpBroadcast$.read(HttpBroadcast.scala:165)
        at 
org.apache.spark.broadcast.HttpBroadcast.readObject(HttpBroadcast.scala:56)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at 
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
        at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
        at java.lang.reflect.Method.invoke(Method.java:597)
        at 
java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:969)
        at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1871)
        at 
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1775)
        at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1327)
        at 
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1969)
        at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
        at 
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1775)
        at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1327)
        at 
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1969)
        at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
        at 
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1775)
        at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1327)
        at java.io.ObjectInputStream.readObject(ObjectInputStream.java:349)
        at 
org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:40)
        at 
org.apache.spark.scheduler.ShuffleMapTask$.deserializeInfo(ShuffleMapTask.scala:69)
        at 
org.apache.spark.scheduler.ShuffleMapTask.readExternal(ShuffleMapTask.scala:138)
        at 
java.io.ObjectInputStream.readExternalData(ObjectInputStream.java:1814)
        at 
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1773)
        at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1327)
        at java.io.ObjectInputStream.readObject(ObjectInputStream.java:349)
        at 
org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:40)
        at 
org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:62)
        at 
org.apache.spark.executor.Executor$TaskRunner$$anonfun$run$1.apply$mcV$sp(Executor.scala:193)
        at 
org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:42)
        at 
org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:41)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:396)
        at 
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1190)
        at 
org.apache.spark.deploy.SparkHadoopUtil.runAsUser(SparkHadoopUtil.scala:41)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:176)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:895)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:918)
        at java.lang.Thread.run(Thread.java:662)

Reply via email to