Hi Anoop,

I don't see the exception you mentioned in the link. I can use spark-avro
to read the sample file users.avro in spark successfully. Do you have the
details of the union issue ?



On Sat, Feb 27, 2016 at 10:05 AM, Anoop Shiralige <anoop.shiral...@gmail.com
> wrote:

> 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 <zjf...@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.shiral...@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
>>>
>>>
>>>
>>> --
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>>>
>>
>>
>> --
>> Best Regards
>>
>> Jeff Zhang
>>
>
>


-- 
Best Regards

Jeff Zhang

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