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https://issues.apache.org/jira/browse/SPARK-49259?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot reassigned SPARK-49259:
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Assignee: (was: Apache Spark)
> Size based partition creation during kafka read
> -----------------------------------------------
>
> Key: SPARK-49259
> URL: https://issues.apache.org/jira/browse/SPARK-49259
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 4.0.0
> Reporter: Subham Singhal
> Priority: Minor
> Labels: pull-request-available
>
> Currently Spark + kafka structured streaming provides *minPartitions* config
> to create more number of partitions than kafka has. This is helpful to
> increase parallelism but this value is can not be changed dynamically.
> It would be better to dynamically increase spark partitions based on input
> size, if input size is high create more partitions. We can take *avg msg
> size* and *maxBytesPerPartition* as input and dynamically create partitions
> to handle varying loads.
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