[jira] [Resolved] (SPARK-10122) AttributeError: 'RDD' object has no attribute 'offsetRanges'

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-10122?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-10122.
-------------------------------
    Resolution: Not A Problem

I don't think this is a bug. Yes, only the initial RDD is actually a Kafka RDD. You need to operate on it if you manipulate offset ranges.

> 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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