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https://issues.apache.org/jira/browse/BEAM-549?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15419570#comment-15419570
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ASF GitHub Bot commented on BEAM-549:
-------------------------------------
GitHub user amitsela opened a pull request:
https://github.com/apache/incubator-beam/pull/822
[BEAM-549] SparkRunner should support Beam's KafkaIO instead of providing
it's own.
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---
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/amitsela/incubator-beam BEAM-549
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-beam/pull/822.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #822
----
commit 960b4e9847df3d3fd5b9ab99bcfbeae6b2c24f01
Author: Sela <[email protected]>
Date: 2016-08-12T21:40:09Z
Spark Kafka io support via an adapting PTransform.
commit be567246ff88f9049d1aa206b7d7b556a3a8d565
Author: Sela <[email protected]>
Date: 2016-08-12T21:41:34Z
Expose relevant fields as public, they are final anyway.
commit 9414d760fcb1953f55eb99dfce78da56c464c15f
Author: Sela <[email protected]>
Date: 2016-08-12T21:42:26Z
Remove SparkRunner's implementation of KafkaIO.
commit 0f822ac80dfdca83cc9204e8784561d5f066b43e
Author: Sela <[email protected]>
Date: 2016-08-12T21:43:07Z
Dependency on Beam's KafkaIO.
commit 89f52131b044e6e99c96f9bb5741050233422ebc
Author: Sela <[email protected]>
Date: 2016-08-12T21:44:23Z
Translate reading of Kafka using Beam's KafkaIO, let the runner override
with it's own PTransform.
commit c1965659d5b477fe33c2ab396e9067ce3c2967a7
Author: Sela <[email protected]>
Date: 2016-08-12T21:45:52Z
Adapt tests.
----
> 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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