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Posted to issues@spark.apache.org by "Amit Ramesh (JIRA)" <ji...@apache.org> on 2015/08/20 12:51:45 UTC
[jira] [Comment Edited] (SPARK-10122) AttributeError: 'RDD' object
has no attribute 'offsetRanges'
[ https://issues.apache.org/jira/browse/SPARK-10122?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14704674#comment-14704674 ]
Amit Ramesh edited comment on SPARK-10122 at 8/20/15 10:51 AM:
---------------------------------------------------------------
[~srowen] as you can see in the example, offsetRanges() is being applied to the initial RDD as part of the transform operation. And the code works fine if the line 'kafka_stream.transform(attach_kafka_metadata).count().pprint()' is changed to 'kafka_stream.transform(attach_kafka_metadata).pprint()'.
was (Author: aramesh):
[~srowen] as you can see in the example, offsetRanges() is being applied to the initial RDD as part of the transform operation. And the code works file if the line 'kafka_stream.transform(attach_kafka_metadata).count().pprint()' is changed to 'kafka_stream.transform(attach_kafka_metadata).pprint()'.
> AttributeError: 'RDD' object has no attribute 'offsetRanges'
> ------------------------------------------------------------
>
> Key: SPARK-10122
> URL: https://issues.apache.org/jira/browse/SPARK-10122
> Project: Spark
> Issue Type: Bug
> Components: PySpark, Streaming
> Reporter: Amit Ramesh
> Priority: Critical
> Labels: kafka
>
> SPARK-8389 added the offsetRanges interface to Kafka direct streams. This however appears to break when chaining operations after a transform operation. Following is example code that would result in an error (stack trace below). Note that if the 'count()' operation is taken out of the example code then this error does not occur anymore, and the Kafka data is printed.
> {code:title=kafka_test.py|collapse=true}
> from pyspark import SparkContext
> from pyspark.streaming import StreamingContext
> from pyspark.streaming.kafka import KafkaUtils
> def attach_kafka_metadata(kafka_rdd):
> offset_ranges = kafka_rdd.offsetRanges()
> return kafka_rdd
> if __name__ == "__main__":
> sc = SparkContext(appName='kafka-test')
> ssc = StreamingContext(sc, 10)
> kafka_stream = KafkaUtils.createDirectStream(
> ssc,
> [TOPIC],
> kafkaParams={
> 'metadata.broker.list': BROKERS,
> },
> )
> kafka_stream.transform(attach_kafka_metadata).count().pprint()
> ssc.start()
> ssc.awaitTermination()
> {code}
> {code:title=Stack trace|collapse=true}
> Traceback (most recent call last):
> File "/home/spark/spark/python/lib/pyspark.zip/pyspark/streaming/util.py", line 62, in call
> r = self.func(t, *rdds)
> File "/home/spark/spark/python/lib/pyspark.zip/pyspark/streaming/dstream.py", line 616, in <lambda>
> self.func = lambda t, rdd: func(t, prev_func(t, rdd))
> File "/home/spark/spark/python/lib/pyspark.zip/pyspark/streaming/dstream.py", line 616, in <lambda>
> self.func = lambda t, rdd: func(t, prev_func(t, rdd))
> File "/home/spark/spark/python/lib/pyspark.zip/pyspark/streaming/dstream.py", line 616, in <lambda>
> self.func = lambda t, rdd: func(t, prev_func(t, rdd))
> File "/home/spark/spark/python/lib/pyspark.zip/pyspark/streaming/dstream.py", line 616, in <lambda>
> self.func = lambda t, rdd: func(t, prev_func(t, rdd))
> File "/home/spark/spark/python/lib/pyspark.zip/pyspark/streaming/kafka.py", line 332, in <lambda>
> func = lambda t, rdd: oldfunc(rdd)
> File "/home/spark/ad_realtime/batch/kafka_test.py", line 7, in attach_kafka_metadata
> offset_ranges = kafka_rdd.offsetRanges()
> AttributeError: 'RDD' object has no attribute 'offsetRanges'
> {code}
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