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
