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From Koert Kuipers <ko...@tresata.com>
Subject Re: spark 0.8
Date Fri, 18 Oct 2013 00:06:46 GMT
i have my spark and hadoop related dependencies as "provided" for my spark
job. this used to work with previous versions. are these now supposed to be
compile/runtime/default dependencies?


On Thu, Oct 17, 2013 at 8:04 PM, Koert Kuipers <koert@tresata.com> wrote:

> 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 <matei.zaharia@gmail.com>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 <koert@tresata.com> 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 <hdc1112@gmail.com> wrote:
>>
>>> thanks, Mark.
>>>
>>>
>>> On Thu, Oct 17, 2013 at 6:36 PM, Mark Hamstra <mark@clearstorydata.com>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 <hdc1112@gmail.com> 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 <mark@clearstorydata.com
>>>>> > 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 <hdc1112@gmail.com>
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 <koert@tresata.com>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
>>>
>>
>>
>>
>

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