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From "Amit Sela (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (BEAM-17) Add support for new Beam Source API
Date Fri, 24 Jun 2016 15:40:16 GMT

    [ 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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