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From rmetzger <...@git.apache.org>
Subject [GitHub] incubator-flink pull request: [FLINK-1107] Hadoop Compatibility La...
Date Fri, 03 Oct 2014 08:41:35 GMT
Github user rmetzger commented on a diff in the pull request:

    https://github.com/apache/incubator-flink/pull/131#discussion_r18385767
  
    --- Diff: docs/hadoop_compatibility.md ---
    @@ -1,5 +1,75 @@
     ---
    -title: "Hadoop Compatability"
    +title: "Hadoop I/O Compatibility"
     ---
     
    -To be written.
    \ No newline at end of file
    +Flink not only supports types that implement Apache Hadoop's `Writable` interface by
default, but also provides a compatibility 
    +layer that allows for using any class extending `org.apache.hadoop.mapred(uce).InputFormat`
as a Flink `InputFormat` as well as any 
    +class extending `org.apache.hadoop.mapred(uce).OutputFormat` as a Flink `OutputFormat`.

    +
    +Thus, Flink can handle Hadoop-related formats from the common `TextInputFormat` up to
third-party components such as Hive through HCatalog's `HCatInputFormat`. Flink supports both
the formats which use the old `org.apache.hadoop.mapred` API as well as the new `org.apache.hadoop.mapreduce`
API.
    +
    +This document explains how to configure your Maven project correctly and shows an example.
    +
    +### Project Configuration
    +
    +The Hadoop Compatibility Layer is part of the *addons* Maven project. All relevant classes
are located in the `org.apache.flink.hadoopcompatibility` package. The package includes separate
packages and classes for the Hadoop `mapred` and `mapreduce` API.
    +
    +Add the following dependency to your `pom.xml` to use the Hadoop Compatibility Layer.
    +
    +~~~xml
    +<dependency>
    +	<groupId>org.apache.flink</groupId>
    +	<artifactId>flink-hadoop-compatibility</artifactId>
    +	<version>{{site.FLINK_VERSION_STABLE}}</version>
    +</dependency>
    +~~~
    --- End diff --
    
    can you add another headline here, that quickly explains the usage?
    Just how to read data from the environment to a data set using a hadoop input format (something
like a copy-past skeleton).
    I think its better if you have a) a general definition how to use it
    and b) an example that people see how to use it in context.


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