[jira] [Resolved] (SPARK-18682) Batch Source for Kafka

["Shixiong Zhu (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-18682?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Shixiong Zhu resolved SPARK-18682.
----------------------------------
       Resolution: Fixed
    Fix Version/s: 2.2.0
                   2.1.1

> Batch Source for Kafka
> ----------------------
>
>                 Key: SPARK-18682
>                 URL: https://issues.apache.org/jira/browse/SPARK-18682
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL, Structured Streaming
>            Reporter: Michael Armbrust
>            Assignee: Tyson Condie
>             Fix For: 2.1.1, 2.2.0
>
>
> Today, you can start a stream that reads from kafka.  However, given kafka's configurable retention period, it seems like sometimes you might just want to read all of the data that is available now.  As such we should add a version that works with {{spark.read}} as well.
> The options should be the same as the streaming kafka source, with the following differences:
>  - {{startingOffsets}} should default to earliest, and should not allow {{latest}} (which would always be empty).
>  - {{endingOffsets}} should also be allowed and should default to {{latest}}. the same assign json format as {{startingOffsets}} should also be accepted.
> It would be really good, if things like {{.limit\(n\)}} were enough to prevent all the data from being read (this might just work).



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