Github user ericgarcia commented on the pull request:
https://github.com/apache/spark/pull/455#issuecomment-49687447
@rjurney I saved the above to
`spark/examples/src/main/scala/org/apache/spark/examples/pythonconverters/AvroGenericConverter.scala`
rebuilt spark with
`./sbt/sbt assembly`
and then loaded pyspark with
`SPARK_CLASSPATH=examples/target/scala-2.10/spark-examples-1.1.0-SNAPSHOT-hadoop1.0.4.jar
IPYTHON=1 bin/pyspark`
Inside of pyspark you should be able to load up yourAvro file with:
avroRdd = sc.newAPIHadoopFile(<full_path_to_your_avro_file>,
"org.apache.avro.mapreduce.AvroKeyInputFormat",
"org.apache.avro.mapred.AvroKey",
"org.apache.hadoop.io.NullWritable",
keyConverter="org.apache.spark.examples.pythonconverters.AvroGenericConverter")
Let me know if it works for you : )
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