yes i did that and i can see the correct jars sitting in lib_managed
On Thu, Oct 17, 2013 at 7:56 PM, Matei Zaharia <[email protected]>wrote: > Koert, did you link your Spark job to the right version of HDFS as well? > In Spark 0.8, you have to add a Maven dependency on "hadoop-client" for > your version of Hadoop. See > http://spark.incubator.apache.org/docs/latest/quick-start.html#a-standalone-app-in-scala > for > example. > > Matei > > On Oct 17, 2013, at 4:38 PM, Koert Kuipers <[email protected]> wrote: > > i got the job a little further along by also setting this: > System.setProperty("spark.closure.serializer", > "org.apache.spark.serializer.KryoSerializer") > > not sure why i need to... but anyhow, now my workers start and then they > blow up on this: > > 13/10/17 19:22:57 ERROR Executor: Uncaught exception in thread > Thread[pool-5-thread-1,5,main] > java.lang.NullPointerException > at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187) > at > java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:895) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:918) > at java.lang.Thread.run(Thread.java:662) > > > which is: > val metrics = attemptedTask.flatMap(t => t.metrics) > > > > > > > > > > On Thu, Oct 17, 2013 at 7:30 PM, dachuan <[email protected]> wrote: > >> thanks, Mark. >> >> >> On Thu, Oct 17, 2013 at 6:36 PM, Mark Hamstra <[email protected]>wrote: >> >>> SNAPSHOTs are not fixed versions, but are floating names associated with >>> whatever is the most recent code. So, Spark 0.8.0 is the current released >>> version of Spark, which is exactly the same today as it was yesterday, and >>> will be the same thing forever. Spark 0.8.1-SNAPSHOT is whatever is >>> currently in branch-0.8. It changes every time new code is committed to >>> that branch (which should be just bug fixes and the few additional features >>> that we wanted to get into 0.8.0, but that didn't quite make it.) Not too >>> long from now there will be a release of Spark 0.8.1, at which time the >>> SNAPSHOT will got to 0.8.2 and 0.8.1 will be forever frozen. Meanwhile, >>> the wild new development is taking place on the master branch, and whatever >>> is currently in that branch becomes 0.9.0-SNAPSHOT. This could be quite >>> different from day to day, and there are no guarantees that things won't be >>> broken in 0.9.0-SNAPSHOT. Several months from now there will be a release >>> of Spark 0.9.0 (unless the decision is made to bump the version to 1.0.0), >>> at which point the SNAPSHOT goes to 0.9.1 and the whole process advances to >>> the next phase of development. >>> >>> The short answer is that releases are stable, SNAPSHOTs are not, and >>> SNAPSHOTs that aren't on maintenance branches can break things. You make >>> your choice of which to use and pay the consequences. >>> >>> >>> On Thu, Oct 17, 2013 at 3:18 PM, dachuan <[email protected]> wrote: >>> >>>> yeah, I mean 0.9.0-SNAPSHOT. I use git clone and that's what I got.. >>>> what's the difference? I mean SNAPSHOT and non-SNAPSHOT. >>>> >>>> >>>> On Thu, Oct 17, 2013 at 6:15 PM, Mark Hamstra >>>> <[email protected]>wrote: >>>> >>>>> Of course, you mean 0.9.0-SNAPSHOT. There is no Spark 0.9.0, and >>>>> won't be for several months. >>>>> >>>>> >>>>> >>>>> On Thu, Oct 17, 2013 at 3:11 PM, dachuan <[email protected]> wrote: >>>>> >>>>>> I'm sorry if this doesn't answer your question directly, but I have >>>>>> tried spark 0.9.0 and hdfs 1.0.4 just now, it works.. >>>>>> >>>>>> >>>>>> On Thu, Oct 17, 2013 at 6:05 PM, Koert Kuipers <[email protected]>wrote: >>>>>> >>>>>>> after upgrading from spark 0.7 to spark 0.8 i can no longer access >>>>>>> any files on HDFS. >>>>>>> i see the error below. any ideas? >>>>>>> >>>>>>> i am running spark standalone on a cluster that also has CDH4.3.0 >>>>>>> and rebuild spark accordingly. the jars in lib_managed look good to me. >>>>>>> >>>>>>> i noticed similar errors in the mailing list but found no suggested >>>>>>> solutions. >>>>>>> >>>>>>> thanks! koert >>>>>>> >>>>>>> >>>>>>> 13/10/17 17:43:23 ERROR Executor: Exception in task ID 0 >>>>>>> java.io.EOFException >>>>>>> at >>>>>>> java.io.ObjectInputStream$BlockDataInputStream.readFully(ObjectInputStream.java:2703) >>>>>>> at >>>>>>> java.io.ObjectInputStream.readFully(ObjectInputStream.java:1008) >>>>>>> at >>>>>>> org.apache.hadoop.io.DataOutputBuffer$Buffer.write(DataOutputBuffer.java:68) >>>>>>> at >>>>>>> org.apache.hadoop.io.DataOutputBuffer.write(DataOutputBuffer.java:106) >>>>>>> at org.apache.hadoop.io.UTF8.readChars(UTF8.java:258) >>>>>>> at org.apache.hadoop.io.UTF8.readString(UTF8.java:250) >>>>>>> at >>>>>>> org.apache.hadoop.mapred.FileSplit.readFields(FileSplit.java:87) >>>>>>> at >>>>>>> org.apache.hadoop.io.ObjectWritable.readObject(ObjectWritable.java:280) >>>>>>> at >>>>>>> org.apache.hadoop.io.ObjectWritable.readFields(ObjectWritable.java:75) >>>>>>> at >>>>>>> org.apache.spark.SerializableWritable.readObject(SerializableWritable.scala:39) >>>>>>> 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:1852) >>>>>>> at >>>>>>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1756) >>>>>>> at >>>>>>> java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1326) >>>>>>> at >>>>>>> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1950) >>>>>>> at >>>>>>> java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1874) >>>>>>> at >>>>>>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1756) >>>>>>> at >>>>>>> java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1326) >>>>>>> at >>>>>>> java.io.ObjectInputStream.readObject(ObjectInputStream.java:348) >>>>>>> at >>>>>>> org.apache.spark.scheduler.ResultTask.readExternal(ResultTask.scala:135) >>>>>>> at >>>>>>> java.io.ObjectInputStream.readExternalData(ObjectInputStream.java:1795) >>>>>>> at >>>>>>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1754) >>>>>>> at >>>>>>> java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1326) >>>>>>> at >>>>>>> java.io.ObjectInputStream.readObject(ObjectInputStream.java:348) >>>>>>> at >>>>>>> org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:39) >>>>>>> at >>>>>>> org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:61) >>>>>>> at >>>>>>> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:153) >>>>>>> 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) >>>>>>> >>>>>>> >>>>>> >>>>>> >>>>>> -- >>>>>> Dachuan Huang >>>>>> Cellphone: 614-390-7234 >>>>>> 2015 Neil Avenue >>>>>> Ohio State University >>>>>> Columbus, Ohio >>>>>> U.S.A. >>>>>> 43210 >>>>>> >>>>> >>>>> >>>> >>>> >>>> -- >>>> Dachuan Huang >>>> Cellphone: 614-390-7234 >>>> 2015 Neil Avenue >>>> Ohio State University >>>> Columbus, Ohio >>>> U.S.A. >>>> 43210 >>>> >>> >>> >> >> >> -- >> Dachuan Huang >> Cellphone: 614-390-7234 >> 2015 Neil Avenue >> Ohio State University >> Columbus, Ohio >> U.S.A. >> 43210 >> > > >
