Flink interpreter for Apache Zeppelin


Apache Flink is an open source platform for distributed stream and batch data processing. Flinkā€™s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams. Flink also builds batch processing on top of the streaming engine, overlaying native iteration support, managed memory, and program optimization.

How to start local Flink cluster, to test the interpreter

Zeppelin comes with pre-configured flink-local interpreter, which starts Flink in a local mode on your machine, so you do not need to install anything.

How to configure interpreter to point to Flink cluster

At the "Interpreters" menu, you have to create a new Flink interpreter and provide next properties:

property value Description
host local host name of running JobManager. 'local' runs flink in local mode (default)
port 6123 port of running JobManager

For more information about Flink configuration, you can find it here.

How to test it's working

You can find an example of Flink usage in the Zeppelin Tutorial folder or try the following word count example, by using the Zeppelin notebook from Till Rohrmann's presentation Interactive data analysis with Apache Flink for Apache Flink Meetup.

rm 10.txt.utf-8
wget http://www.gutenberg.org/ebooks/10.txt.utf-8
case class WordCount(word: String, frequency: Int)
val bible:DataSet[String] = benv.readTextFile("10.txt.utf-8")
val partialCounts: DataSet[WordCount] = bible.flatMap{
    line =>
        """\b\w+\b""".r.findAllIn(line).map(word => WordCount(word, 1))
//        line.split(" ").map(word => WordCount(word, 1))
val wordCounts = partialCounts.groupBy("word").reduce{
    (left, right) => WordCount(left.word, left.frequency + right.frequency)
val result10 = wordCounts.first(10).collect()