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Posted to issues@spark.apache.org by "vipin Kumar (Jira)" <ji...@apache.org> on 2024/08/28 05:11:00 UTC

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

vipin Kumar created SPARK-49442:
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             Summary: 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


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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