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From: mbalassi <git@git.apache.org>
To: issues@flink.incubator.apache.org
Reply-To: issues@flink.incubator.apache.org
Message-ID: <git-pr-761-flink@git.apache.org>
Subject: [GitHub] flink pull request: [streaming] Consolidate streaming API
 method n...
Content-Type: text/plain
Date: Tue,  2 Jun 2015 15:32:18 +0000 (UTC)

GitHub user mbalassi opened a pull request:

    https://github.com/apache/flink/pull/761

    [streaming] Consolidate streaming API method names

      * This PR build on #743 and adds partitionBy for connected streams, scala and docs 
      * Does the renames discussed on the mailing list in 35e5cbd
      * The renamed methods are already tested for functionality except for `partitionByHash` for which  added in this PR

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/mbalassi/flink rename

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/flink/pull/761.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 #761
    
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commit 61fb5ee11447a4a5f2983378e65ad73eb1829677
Author: Aljoscha Krettek <aljoscha.krettek@gmail.com>
Date:   2015-05-28T08:40:56Z

    [FLINK-2103] [streaming] [api-extending] Expose partitionBy to user
    
    Conflicts:
    	flink-staging/flink-streaming/flink-streaming-core/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java
    
    Closes #743

commit f5da9217efd0731eda8fad9ec6a1a48946cfddf4
Author: mbalassi <mbalassi@apache.org>
Date:   2015-06-02T08:49:37Z

    [FLINK-2103] [streaming] [api-extending] PartitionBy for connected streams, scala & docs

commit 35e5cbd58fc69b5984f4e22e5b728ead45f9309f
Author: mbalassi <mbalassi@apache.org>
Date:   2015-06-02T15:01:48Z

    [streaming] [api-breaking] Consolidate DataStream method names
    
    To better match the names of the DataSet API the following renamings were made:
    - DataStream.merge -> DataStream.union
    - DataStream.distribute -> DataStream.rebalance
    - DataStream.partitionBy -> DataStream.partitionByHash

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