Github user rmetzger commented on a diff in the pull request:

    https://github.com/apache/flink/pull/672#discussion_r30330062
  
    --- Diff: docs/scala_shell_quickstart.md ---
    @@ -0,0 +1,72 @@
    +---
    +title: "Quickstart: Scala Shell"
    +---
    +<!--
    +Licensed to the Apache Software Foundation (ASF) under one
    +or more contributor license agreements.  See the NOTICE file
    +distributed with this work for additional information
    +regarding copyright ownership.  The ASF licenses this file
    +to you under the Apache License, Version 2.0 (the
    +"License"); you may not use this file except in compliance
    +with the License.  You may obtain a copy of the License at
    +
    +  http://www.apache.org/licenses/LICENSE-2.0
    +
    +Unless required by applicable law or agreed to in writing,
    +software distributed under the License is distributed on an
    +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
    +KIND, either express or implied.  See the License for the
    +specific language governing permissions and limitations
    +under the License.
    +-->
    +
    +* This will be replaced by the TOC
    +{:toc}
    +
    +Start working on your Flink Scala program in a few simple steps.
    +
    +## Startup Flink interactive Scala shell
    +
    +Flink has an integrated interactive scala shell.
    +It can be used in a local setup as well as in a cluster setup.
    +
    +To use it in a local setup just execute:
    +
    +__Sample Input__:
    +~~~bash
    +flink/bin/start-scala-shell.sh 
    +~~~
    +
    +And it will initialize a local JobManager by itself.
    +
    +To use it in a cluster setup you can supply the host and port of the 
JobManager with:
    +
    +__Sample Input__:
    +~~~bash
    +flink/bin/start-scala-shell.sh -host "<hostname>" -port <portnumber>
    +~~~
    +
    +
    +## Usage
    +
    +The shell will prebind the ExecutionEnvironment as "env", so far only 
batch mode is supported.
    +
    +The following example will execute the wordcount program in the scala 
shell:
    +
    +~~~scala
    +Flink-Shell> val text = env.fromElements("To be, or not to be,--that is 
the question:--","Whether 'tis nobler in the mind to suffer", "The slings and 
arrows of outrageous fortune","Or to take arms against a sea of troubles,")
    +Flink-Shell> val counts = text.flatMap { _.toLowerCase.split("\\W+") }.map 
{ (_, 1) }.groupBy(0).sum(1)
    +Flink-Shell> counts.print()
    +~~~
    +
    +
    +The print() command will automatically send the specified tasks to the 
JobManager for execution and will show the result of the computation in the 
terminal.
    +
    +It is possbile to write results to a file, like in the standard Scala api. 
However, in this case you need to call, to run your program:
    +
    +~~~scala
    +Flink-Shell> env.execute("MyProgram")
    +~~~
    +
    +The Flink Shell comes with command history and autocompletion.
    --- End diff --
    
    The file is using `Scala` in upper and lowercase variants. I would make 
them all uppercase.


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