Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/363#discussion_r24117714
--- Diff: docs/hadoop_compatibility.md ---
@@ -52,56 +63,70 @@ Add the following dependency to your `pom.xml` to use
the Hadoop Compatibility L
### Using Hadoop Data Types
-Flink supports all Hadoop `Writable` and `WritableComparable` data types
out-of-the-box. You do not need to include the Hadoop Compatibility dependency,
if you only want to use your Hadoop data types. See the [Programming
Guide](programming_guide.html#data-types) for more details.
+Flink supports all Hadoop `Writable` and `WritableComparable` data types
+out-of-the-box. You do not need to include the Hadoop Compatibility
dependency,
+if you only want to use your Hadoop data types. See the
+[Programming Guide](programming_guide.html#data-types) for more details.
### Using Hadoop InputFormats
-Flink provides a compatibility wrapper for Hadoop `InputFormats`. Any
class that implements `org.apache.hadoop.mapred.InputFormat` or extends
`org.apache.hadoop.mapreduce.InputFormat` is supported. Thus, Flink can handle
Hadoop built-in formats such as `TextInputFormat` as well as external formats
such as Hive's `HCatInputFormat`. Data read from Hadoop InputFormats is
converted into a `DataSet<Tuple2<KEY,VALUE>>` where `KEY` is the key and
`VALUE` is the value of the original Hadoop key-value pair.
-
-Flink's InputFormat wrappers are
-
-- `org.apache.flink.hadoopcompatibility.mapred.HadoopInputFormat` and
-- `org.apache.flink.hadoopcompatibility.mapreduce.HadoopInputFormat`
+Hadoop input formats can be used to create a data source by using
+on of the methods `readHadoopFile` or `createHadoopInput` of the
--- End diff --
on -> one
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