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Posted to issues@spark.apache.org by "vipin Kumar (Jira)" <ji...@apache.org> on 2024/08/28 06:05:00 UTC

[jira] [Updated] (SPARK-49442) Complete Metadata requests on each micro batch causing Kafka issues

     [ 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.
>  
>  



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