Dibyendu Bhattacharya created SPARK-8474:
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Summary: [STREAMING] Kafka DirectStream API stops receiving
messages if collective size of the messages specified in
spark.streaming.kafka.maxRatePerPartition exceeds the default fetch size (
fetch.message.max.bytes) of SimpleConsumer
Key: SPARK-8474
URL: https://issues.apache.org/jira/browse/SPARK-8474
Project: Spark
Issue Type: Bug
Components: Streaming
Affects Versions: 1.4.0
Reporter: Dibyendu Bhattacharya
Priority: Critical
The issue is , if in Kafka there are variable size messages ranging from few KB
to few hundred KBs , setting the rate limiting by number of messages can leads
to potential issue.
let say size of messages in Kafka are such that for default
fetch.message.max.bytes limit ONLY 1000 messages can be pulled, whereas I
specified the spark.streaming.kafka.maxRatePerPartition limit as say 2000. Now
with this settings when Kafka RDD pulls messages for its offset range , it
will only pull 1000 messages and can never be able to pull messages till the
desired untilOffset and in KafkaRDD it failed in this assert call..
assert(requestOffset == part.untilOffset, errRanOutBeforeEnd(part))
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