[ https://issues.apache.org/jira/browse/SPARK-32566?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
srpn closed SPARK-32566. ------------------------ > 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 -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org