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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/03/01 01:32:00 UTC

[jira] [Assigned] (SPARK-23541) Allow Kafka source to read data with greater parallelism than the number of topic-partitions

     [ https://issues.apache.org/jira/browse/SPARK-23541?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-23541:
------------------------------------

    Assignee: Tathagata Das  (was: Apache Spark)

> Allow Kafka source to read data with greater parallelism than the number of topic-partitions
> --------------------------------------------------------------------------------------------
>
>                 Key: SPARK-23541
>                 URL: https://issues.apache.org/jira/browse/SPARK-23541
>             Project: Spark
>          Issue Type: New Feature
>          Components: Structured Streaming
>    Affects Versions: 2.3.0
>            Reporter: Tathagata Das
>            Assignee: Tathagata Das
>            Priority: Major
>
> Currently, when the Kafka source reads from Kafka, it generates as many tasks as the number of partitions in the topic(s) to be read. In some case, it may be beneficial to read the data with greater parallelism, that is, with more number partitions/tasks. That means, offset ranges must be divided up into smaller ranges such the number of records in partition ~= total records in batch / desired partitions. This would also balance out any data skews between topic-partitions.



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