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Posted to commits@beam.apache.org by "Amit Sela (JIRA)" <ji...@apache.org> on 2016/06/24 15:40:16 UTC
[jira] [Commented] (BEAM-17) Add support for new Beam Source API
[ https://issues.apache.org/jira/browse/BEAM-17?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15348444#comment-15348444 ]
Amit Sela commented on BEAM-17:
-------------------------------
Implementing for next gen. Spark runner - Spark 2.x
> Add support for new Beam Source API
> -----------------------------------
>
> Key: BEAM-17
> URL: https://issues.apache.org/jira/browse/BEAM-17
> Project: Beam
> Issue Type: Improvement
> Components: runner-spark
> Reporter: Amit Sela
> Assignee: Amit Sela
>
> The API is discussed in https://cloud.google.com/dataflow/model/sources-and-sinks#creating-sources
> To implement this, we need to add support for com.google.cloud.dataflow.sdk.io.Read in TransformTranslator. This can be done by creating a new SourceInputFormat class that translates from a DF Source to a Hadoop InputFormat. The two concepts are pretty-well aligned since they both have the concept of splits and readers.
> Note that when there's a native HadoopSource in DF, it will need special-casing in the code for Read since we'll be able to use the underlying InputFormat directly.
> This could be tested using XmlSource from the SDK.
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