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Posted to issues@spark.apache.org by "Shixiong Zhu (JIRA)" <ji...@apache.org> on 2015/12/30 01:22:49 UTC
[jira] [Resolved] (SPARK-12002) offsetRanges attribute missing in
Kafka RDD when resuming from checkpoint
[ https://issues.apache.org/jira/browse/SPARK-12002?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Shixiong Zhu resolved SPARK-12002.
----------------------------------
Resolution: Fixed
Assignee: Saisai Shao
Fix Version/s: 1.6.0
> offsetRanges attribute missing in Kafka RDD when resuming from checkpoint
> -------------------------------------------------------------------------
>
> Key: SPARK-12002
> URL: https://issues.apache.org/jira/browse/SPARK-12002
> Project: Spark
> Issue Type: Bug
> Components: PySpark, Streaming
> Reporter: Amit Ramesh
> Assignee: Saisai Shao
> Fix For: 1.6.0
>
>
> SPARK-8389 added offsetRanges to Kafka direct streams. And SPARK-10122 fixed the issue of not ending up with non-Kafka RDDs when chaining transforms to Kafka RDDs. It appears that this issue remains for the case where a streaming application using Kafka direct streams is initialized from the checkpoint directory. The following is a representative example where everything works as expected during the first run, but exceptions are thrown on a subsequent run when the context is being initialized from the checkpoint directory.
> {code:title=test_checkpoint.py|language=python}
> 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
>
>
> def create_context():
> sc = SparkContext(appName='kafka-test')
> ssc = StreamingContext(sc, 10)
> ssc.checkpoint(CHECKPOINT_URI)
>
> kafka_stream = KafkaUtils.createDirectStream(
> ssc,
> [TOPIC],
> kafkaParams={
> 'metadata.broker.list': BROKERS,
> },
> )
> kafka_stream.transform(attach_kafka_metadata).count().pprint()
>
> return ssc
>
>
> if __name__ == "__main__":
> ssc = StreamingContext.getOrCreate(CHECKPOINT_URI, create_context)
> ssc.start()
> ssc.awaitTermination()
> {code}
> {code:title=Exception on resuming from checkpoint}
> 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/kafka.py", line 344, in <lambda>
> File "/home/spark/batch/test_checkpoint.py", line 12, in attach_kafka_metadata
> offset_ranges = kafka_rdd.offsetRanges()
> AttributeError: 'RDD' object has no attribute 'offsetRanges'
> {code}
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