hadoopcompatibility: Implementations of basic programming interfaces and...

... a basic driver.

* wrappers for Mapper, Reducer and Combiner (as a local Reducer) on the new Java API
* wrapper for OutputCollector
* wrappers for Partitioner, values comparator.
* a driver making it posible to run unmonitored (so far)  Hadoop jobs on Flink.
* tests and variations of the WordCount driver exclusively in Hadoop.

You can find more about the Google Summer of Code project here:  https://issues.apache.org/jira/browse/FLINK-838?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14031511
I saw MapOnly jobs are currently supported by injecting an IdentityReducer. This is a very expensive way to do it, because the data is shuffled over the network and sorted. MapOnly jobs aim to avoid that.