@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 <mailto: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 <http://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 <mailto: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 <mailto: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 --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org <mailto:user-unsubscr...@spark.apache.org> For additional commands, e-mail: user-h...@spark.apache.org <mailto:user-h...@spark.apache.org> --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org <mailto:user-unsubscr...@spark.apache.org> For additional commands, e-mail: user-h...@spark.apache.org <mailto:user-h...@spark.apache.org>
