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https://issues.apache.org/jira/browse/FLINK-838?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14077597#comment-14077597
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Fabian Hueske commented on FLINK-838:
-------------------------------------
While commenting the PR, I thought about some additional features.
1. There is a way to implement Hadoop jobs with multiple inputs, e.g.,
https://hadoop.apache.org/docs/stable/api/org/apache/hadoop/mapreduce/lib/input/MultipleInputs.html.
We should support this by adding multiple sources and union them before the
mapper. There might be some additional logic required to determine which source
a tuple came from. This needs to be checked.
2. The Flink Java API provides `DataSet.runOperation(CustomUnaryOperation<T, X>
operation)` to perform a complex (i.e., multi-operator) operation on a
`DataSet`. We could provide a HadoopJobOperation, that takes the `DataSet` as
input, applies the Hadoop Job and provides the result as a new `DataSet`. In
this case, the Input and OutputFormats of the job would be ignored and only
`processing` steps be executed.
What do you guys think?
> GSoC Summer Project: Implement full Hadoop Compatibility Layer for
> Stratosphere
> -------------------------------------------------------------------------------
>
> Key: FLINK-838
> URL: https://issues.apache.org/jira/browse/FLINK-838
> Project: Flink
> Issue Type: Improvement
> Reporter: GitHub Import
> Labels: github-import
> Fix For: pre-apache
>
>
> This is a meta issue for tracking @atsikiridis progress with implementing a
> full Hadoop Compatibliltiy Layer for Stratosphere.
> Some documentation can be found in the Wiki:
> https://github.com/stratosphere/stratosphere/wiki/%5BGSoC-14%5D-A-Hadoop-abstraction-layer-for-Stratosphere-(Project-Map-and-Notes)
> As well as the project proposal:
> https://github.com/stratosphere/stratosphere/wiki/GSoC-2014-Project-Proposal-Draft-by-Artem-Tsikiridis
> Most importantly, there is the following **schedule**:
> *19 May - 27 June (Midterm)*
> 1) Work on the Hadoop tasks, their Context and the mapping of Hadoop's
> Configuration to the one of Stratosphere. By successfully bridging the Hadoop
> tasks with Stratosphere, we already cover the most basic Hadoop Jobs. This
> can be determined by running some popular Hadoop examples on Stratosphere
> (e.g. WordCount, k-means, join) (4 - 5 weeks)
> 2) Understand how the running of these jobs works (e.g. command line
> interface) for the wrapper. Implement how will the user run them. (1 - 2
> weeks).
> *27 June - 11 August*
> 1) Continue wrapping more "advanced" Hadoop Interfaces (Comparators,
> Partitioners, Distributed Cache etc.) There are quite a few interfaces and it
> will be a challenge to support all of them. (5 full weeks)
> 2) Profiling of the application and optimizations (if applicable)
> *11 August - 18 August*
> Write documentation on code, write a README with care and add more
> unit-tests. (1 week)
> ---------------- Imported from GitHub ----------------
> Url: https://github.com/stratosphere/stratosphere/issues/838
> Created by: [rmetzger|https://github.com/rmetzger]
> Labels: core, enhancement, parent-for-major-feature,
> Milestone: Release 0.7 (unplanned)
> Created at: Tue May 20 10:11:34 CEST 2014
> State: open
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