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Posted to issues@spark.apache.org by "Patrick McGloin (JIRA)" <ji...@apache.org> on 2018/09/19 13:27:00 UTC
[jira] [Commented] (SPARK-25466) Documentation does not specify how
to set fafka consumer cache capacity for SS
[ https://issues.apache.org/jira/browse/SPARK-25466?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16620575#comment-16620575 ]
Patrick McGloin commented on SPARK-25466:
-----------------------------------------
[~tdas] I am happy to update the doc or adjust the log message.
> Documentation does not specify how to set fafka consumer cache capacity for SS
> ------------------------------------------------------------------------------
>
> Key: SPARK-25466
> URL: https://issues.apache.org/jira/browse/SPARK-25466
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 2.3.0
> Reporter: Patrick McGloin
> Priority: Major
> Labels: doc, ss
>
> When hitting this warning with SS:
> 19-09-2018 12:05:27 WARN CachedKafkaConsumer:66 - KafkaConsumer cache hitting max capacity of 64, removing consumer for CacheKey(spark-kafka-source-e06c9676-32c6-49c4-80a9-2d0ac4590609--694285871-executor,MyKafkaTopic-30)
> If you Google you get to this page:
> https://spark.apache.org/docs/latest/streaming-kafka-0-10-integration.html
> Which is for Spark Streaming and says to use this config item to adjust the capacity: "spark.streaming.kafka.consumer.cache.maxCapacity".
> This is a bit confusing as SS uses a different config item: "spark.sql.kafkaConsumerCache.capacity"
> Perhaps the SS Kafka documentation should talk about the consumer cache capacity? Perhaps here?
> https://spark.apache.org/docs/2.2.0/structured-streaming-kafka-integration.html
> Or perhaps the warning message should reference the config item. E.g
> 19-09-2018 12:05:27 WARN CachedKafkaConsumer:66 - KafkaConsumer cache hitting max capacity of 64, removing consumer for CacheKey(spark-kafka-source-e06c9676-32c6-49c4-80a9-2d0ac4590609--694285871-executor,MyKafkaTopic-30). *The cache size can be adjusted with the setting "spark.sql.kafkaConsumerCache.capacity".*
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