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Posted to commits@beam.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2016/09/22 15:37:20 UTC

[jira] [Commented] (BEAM-549) SparkRunner should support Beam's KafkaIO instead of providing it's own.

    [ https://issues.apache.org/jira/browse/BEAM-549?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15513629#comment-15513629 ] 

ASF GitHub Bot commented on BEAM-549:
-------------------------------------

Github user amitsela closed the pull request at:

    https://github.com/apache/incubator-beam/pull/822


> SparkRunner should support Beam's KafkaIO instead of providing it's own.
> ------------------------------------------------------------------------
>
>                 Key: BEAM-549
>                 URL: https://issues.apache.org/jira/browse/BEAM-549
>             Project: Beam
>          Issue Type: Bug
>          Components: runner-spark
>            Reporter: Amit Sela
>            Assignee: Amit Sela
>
> For portability, and in the spirit of Apache Beam, the SparkRunner should use the Beam implementation of KafkaIO instead of it's own.
> Having said that, the runner will translate the KafkaIO as defined in the pipeline into it's own internal implementation, but should still map the properties the user defined in the pipeline in a way that the IO behaves the same - i.e., brokers, topic, etc.
> Eventually, the SparkRunner will implement reading from Kafka using Spark's KafakUtils.createDirectStream() as described here: http://spark.apache.org/docs/1.6.2/streaming-kafka-integration.html#approach-2-direct-approach-no-receivers 



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