You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@beam.apache.org by "Amit Sela (JIRA)" <ji...@apache.org> on 2016/06/24 15:39:16 UTC

[jira] [Assigned] (BEAM-17) Add support for new Beam Source API

     [ https://issues.apache.org/jira/browse/BEAM-17?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Amit Sela reassigned BEAM-17:
-----------------------------

    Assignee: Amit Sela

> 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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)