Yes. I ran into this problem with mahout snapshot and spark 1.2.0 not
really trying to figure out why that was a problem, since there were
already too many moving parts in my app. Obviously there is a classpath
issue somewhere.
/Erlend
On 27 Feb 2015 22:30, "Pat Ferrel" <p...@occamsmachete.com> wrote:
> @Erlend hah, we were trying to merge your PR and ran into this—small
> world. You actually compile the JavaSerializer source in your project?
>
> @Marcelo do you mean by modifying spark.executor.extraClassPath on all
> workers, that didn’t seem to work?
>
> On Feb 27, 2015, at 1:23 PM, Erlend Hamnaberg <erl...@hamnaberg.net>
> wrote:
>
> 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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>
>
