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https://issues.apache.org/jira/browse/SPARK-32566?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17173107#comment-17173107
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Takeshi Yamamuro commented on SPARK-32566:
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cc: [~kabhwan]
> kafka consumer cache capacity is unclear
> ----------------------------------------
>
> Key: SPARK-32566
> URL: https://issues.apache.org/jira/browse/SPARK-32566
> Project: Spark
> Issue Type: Documentation
> Components: Structured Streaming
> Affects Versions: 3.0.0
> Reporter: srpn
> Priority: Major
>
> The
> [docs|https://spark.apache.org/docs/latest/streaming-kafka-0-10-integration.html]
> mention
> {noformat}
> The cache for consumers has a default maximum size of 64. If you expect
> to be handling more than (64 * number of executors) Kafka partitions,
> you can change this setting via
> spark.streaming.kafka.consumer.cache.maxCapacity{noformat}
> However, for structured streaming, the code seems to expect
> {code:java}
> spark.kafka.consumer.cache.capacity/spark.sql.kafkaConsumerCache.capacity{code}
> Would be nice to clear the ambiguity in the documentation or even merge these
> configurations in the code
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