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From Anoop Shiralige <anoop.shiral...@gmail.com>
Subject Re: PySpark : couldn't pickle object of type class T
Date Sat, 27 Feb 2016 02:05:50 GMT
Hi Jeff,

Thank you for looking into the post.

I had explored spark-avro option earlier. Since, we have union of multiple
complex data types in our avro schema we couldn't use it.
Couple of things I tried.

   -
   https://stackoverflow.com/questions/31261376/how-to-read-pyspark-avro-file-and-extract-the-values
:
   "Spark Exception : Unions may only consist of concrete type and null"
   - Use of dataFrame/DataSet : serialization problem.

For now, I got it working by modifing AvroConversionUtils, to address the
union of multiple data-types.

Thanks,
AnoopShiralige


On Thu, Feb 25, 2016 at 7:25 AM, Jeff Zhang <zjffdu@gmail.com> wrote:

> Avro Record is not supported by pickler, you need to create a custom
> pickler for it.  But I don't think it worth to do that. Actually you can
> use package spark-avro to load avro data and then convert it to RDD if
> necessary.
>
> https://github.com/databricks/spark-avro
>
>
> On Thu, Feb 11, 2016 at 10:38 PM, Anoop Shiralige <
> anoop.shiralige@gmail.com> wrote:
>
>> Hi All,
>>
>> I am working with Spark 1.6.0 and pySpark shell specifically. I have an
>> JavaRDD[org.apache.avro.GenericRecord] which I have converted to pythonRDD
>> in the following way.
>>
>> javaRDD = sc._jvm.java.package.loadJson("path to data", sc._jsc)
>> javaPython = sc._jvm.SerDe.javaToPython(javaRDD)
>> from pyspark.rdd import RDD
>> pythonRDD=RDD(javaPython,sc)
>>
>> pythonRDD.first()
>>
>> However everytime I am trying to call collect() or first() method on
>> pythonRDD I am getting the following error :
>>
>> 16/02/11 06:19:19 ERROR python.PythonRunner: Python worker exited
>> unexpectedly (crashed)
>> org.apache.spark.api.python.PythonException: Traceback (most recent call
>> last):
>>   File
>>
>> "/disk2/spark6/spark-1.6.0-bin-hadoop2.4/python/lib/pyspark.zip/pyspark/worker.py",
>> line 98, in main
>>     command = pickleSer._read_with_length(infile)
>>   File
>>
>> "/disk2/spark6/spark-1.6.0-bin-hadoop2.4/python/lib/pyspark.zip/pyspark/serializers.py",
>> line 156, in _read_with_length
>>     length = read_int(stream)
>>   File
>>
>> "/disk2/spark6/spark-1.6.0-bin-hadoop2.4/python/lib/pyspark.zip/pyspark/serializers.py",
>> line 545, in read_int
>>     raise EOFError
>> EOFError
>>
>>         at
>> org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:166)
>>         at
>>
>> org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:207)
>>         at
>> org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125)
>>         at
>> org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
>>         at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
>>         at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
>>         at
>> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
>>         at org.apache.spark.scheduler.Task.run(Task.scala:89)
>>         at
>> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
>>         at
>>
>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>>         at
>>
>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>>         at java.lang.Thread.run(Thread.java:744)
>> Caused by: net.razorvine.pickle.PickleException: couldn't pickle object of
>> type class org.apache.avro.generic.GenericData$Record
>>         at net.razorvine.pickle.Pickler.save(Pickler.java:142)
>>         at
>> net.razorvine.pickle.Pickler.put_arrayOfObjects(Pickler.java:493)
>>         at net.razorvine.pickle.Pickler.dispatch(Pickler.java:205)
>>         at net.razorvine.pickle.Pickler.save(Pickler.java:137)
>>         at net.razorvine.pickle.Pickler.dump(Pickler.java:107)
>>         at net.razorvine.pickle.Pickler.dumps(Pickler.java:92)
>>         at
>>
>> org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.next(SerDeUtil.scala:121)
>>         at
>>
>> org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.next(SerDeUtil.scala:110)
>>         at scala.collection.Iterator$class.foreach(Iterator.scala:727)
>>         at
>>
>> org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.foreach(SerDeUtil.scala:110)
>>         at
>>
>> org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:452)
>>         at
>>
>> org.apache.spark.api.python.PythonRunner$WriterThread$$anonfun$run$3.apply(PythonRDD.scala:280)
>>         at
>> org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1741)
>>         at
>>
>> org.apache.spark.api.python.PythonRunner$WriterThread.run(PythonRDD.scala:239)
>>
>> Thanks for your time,
>> AnoopShiralige
>>
>>
>>
>> --
>> View this message in context:
>> http://apache-spark-user-list.1001560.n3.nabble.com/PySpark-couldn-t-pickle-object-of-type-class-T-tp26204.html
>> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>>
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>>
>
>
> --
> Best Regards
>
> Jeff Zhang
>

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