[ https://issues.apache.org/jira/browse/SPARK-25466?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Maxim Gekk updated SPARK-25466: ------------------------------- Summary: Documentation does not specify how to set Kafka consumer cache capacity for SS (was: Documentation does not specify how to set fafka consumer cache capacity for SS) > Documentation does not specify how to set Kafka 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".* -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org