Hi.
I have had a simliar issue. I had to pull the JavaSerializer source into my
own project, just so I got the classloading of this class under control.
This must be a class loader issue with spark.
-E
On Fri, Feb 27, 2015 at 8:52 PM, Pat Ferrel <p...@occamsmachete.com> wrote:
> I understand that I need to supply Guava to Spark. The HashBiMap is
> created in the client and broadcast to the workers. So it is needed in
> both. To achieve this there is a deps.jar with Guava (and Scopt but that is
> only for the client). Scopt is found so I know the jar is fine for the
> client.
>
> I pass in the deps.jar to the context creation code. I’ve checked the
> content of the jar and have verified that it is used at context creation
> time.
>
> I register the serializer as follows:
>
> class MyKryoRegistrator extends KryoRegistrator {
>
> override def registerClasses(kryo: Kryo) = {
>
> val h: HashBiMap[String, Int] = HashBiMap.create[String, Int]()
> //kryo.addDefaultSerializer(h.getClass, new JavaSerializer())
> log.info("\n\n\nRegister Serializer for " +
> h.getClass.getCanonicalName + "\n\n\n") // just to be sure this does indeed
> get logged
> kryo.register(classOf[com.google.common.collect.HashBiMap[String,
> Int]], new JavaSerializer())
> }
> }
>
> The job proceeds up until the broadcast value, a HashBiMap, is
> deserialized, which is where I get the following error.
>
> Have I missed a step for deserialization of broadcast values? Odd that
> serialization happened but deserialization failed. I’m running on a
> standalone localhost-only cluster.
>
>
> 15/02/27 11:40:34 WARN scheduler.TaskSetManager: Lost task 1.0 in stage
> 4.0 (TID 9, 192.168.0.2): java.io.IOException:
> com.esotericsoftware.kryo.KryoException: Error during Java deserialization.
> at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1093)
> at
> org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:164)
> at
> org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:64)
> at
> org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:64)
> at
> org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:87)
> at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
> at
> my.TDIndexedDatasetReader$$anonfun$5.apply(TextDelimitedReaderWriter.scala:95)
> at
> my.TDIndexedDatasetReader$$anonfun$5.apply(TextDelimitedReaderWriter.scala:94)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at
> org.apache.spark.util.collection.ExternalSorter.spillToPartitionFiles(ExternalSorter.scala:366)
> at
> org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:211)
> at
> org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:63)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:56)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:200)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: com.esotericsoftware.kryo.KryoException: Error during Java
> deserialization.
> at
> com.esotericsoftware.kryo.serializers.JavaSerializer.read(JavaSerializer.java:42)
> at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:732)
> at
> org.apache.spark.serializer.KryoDeserializationStream.readObject(KryoSerializer.scala:144)
> at
> org.apache.spark.broadcast.TorrentBroadcast$.unBlockifyObject(TorrentBroadcast.scala:216)
> at
> org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:177)
> at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1090)
> ... 19 more
>
> ======== root eror ==========
> Caused by: java.lang.ClassNotFoundException:
> com.google.common.collect.HashBiMap
> at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
> at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
> ...
>
>
>
>
>
>
>
>
> On Feb 25, 2015, at 5:24 PM, Marcelo Vanzin <van...@cloudera.com> wrote:
>
> Guava is not in Spark. (Well, long version: it's in Spark but it's
> relocated to a different package except for some special classes
> leaked through the public API.)
>
> If your app needs Guava, it needs to package Guava with it (e.g. by
> using maven-shade-plugin, or using "--jars" if only executors use
> Guava).
>
> On Wed, Feb 25, 2015 at 5:17 PM, Pat Ferrel <p...@occamsmachete.com> wrote:
> > The root Spark pom has guava set at a certain version number. It’s very
> hard
> > to read the shading xml. Someone suggested that I try using
> > userClassPathFirst but that sounds too heavy handed since I don’t really
> > care which version of guava I get, not picky.
> >
> > When I set my project to use the same version as Spark I get a missing
> > classdef, which usually means a version conflict.
> >
> > At this point I am quite confused about what is actually in Spark as far
> as
> > Guava and how to coexist with it happily.
> >
> > Let me rephrase my question: Does anyone know how or has anyone used
> Guava
> > in a project? Is there a recommended way to use it in a job?
>
> --
> Marcelo
>
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