[ https://issues.apache.org/jira/browse/SPARK-49442?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
vipin Kumar updated SPARK-49442: -------------------------------- Target Version/s: 3.3.2 Labels: Kafka spark-streaming-kafka (was: ) Priority: Blocker (was: Major) > Complete Metadata requests on each micro batch causing Kafka issues > ------------------------------------------------------------------- > > Key: SPARK-49442 > URL: https://issues.apache.org/jira/browse/SPARK-49442 > Project: Spark > Issue Type: Bug > Components: Structured Streaming > Affects Versions: 3.3.2 > Reporter: vipin Kumar > Priority: Blocker > Labels: Kafka, spark-streaming-kafka > > We have noticed that spark does complete metadata requests on each micro > batch and this is causing high metadata requests on small micro batch > intervals . > > For example Kafka with 1900 partitions and 10 sec micro batch we are seeing > order of > ~{*}360K{*} metadata requests / sec > Same with job with 60 sec micro batch we are observing *~60K* meta data > requests. > > Metadata requests are controlled by *metadata.max.age.ms* but these config > have no effect on spark consumers by default its 5 mins still we are seeing > these huge requests. > > -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org