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 >> >> >> >> -- >> 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. >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >> For additional commands, e-mail: user-h...@spark.apache.org >> >> > > > -- > Best Regards > > Jeff Zhang >
