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Apache Beam Examples Using SamzaRunner

The examples in this repository serve to demonstrate running Beam pipelines with SamzaRunner locally, in Yarn cluster, or in standalone cluster with Zookeeper. More complex pipelines can be built from here and run in similar manner.

Example Pipelines

The following examples are included:

  1. WordCount reads a file as input (bounded data source), and computes word frequencies.

  2. KafkaWordCount does the same word-count computation but reading from a Kafka stream (unbounded data source). It uses a fixed 10-sec window to aggregate the counts.

Run Examples

Each example can be run locally, in Yarn cluster or in standalone cluster. Here we use WordCount as an example.

Set Up

  1. Download and install JDK version 8. Verify that the JAVA_HOME environment variable is set and points to your JDK installation.

  2. Download and install Apache Maven by following Maven’s installation guide for your specific operating system.

  3. A script named “grid” is included in this project which allows you to easily download and install Zookeeper, Kafka, and Yarn. You can run the following to bring them all up running in your local machine:

$ scripts/grid bootstrap

All the downloaded package files will be put under deploy folder. Once the grid command completes, you can verify that Yarn is up and running by going to http://localhost:8088. You can also choose to bring them up separately, e.g.:

$ scripts/grid install zookeeper
$ scripts/grid start zookeeper

Local Run

You can run directly within the project using maven:

$ mvn compile exec:java -Dexec.mainClass=org.apache.beam.examples.WordCount \
    -Dexec.args="--runner=SamzaRunner" -P samza-runner

Packaging Your Application

To execute the example in either Yarn or standalone, you need to package it first. After packaging, we deploy and explode the tgz in the deploy folder:

 $ mkdir -p deploy/examples
 $ mvn package && tar -xvf target/samza-beam-examples-0.1-dist.tar.gz -C deploy/examples/

Standalone Cluster with Zookeeper

You can use the script included in this repo to run an example in standalone mode. The config file is provided as config/ Note by default we create one single input partition for the whole input. To set the number of partitions, you can add “--maxSourceParallelism=” argument. For example, “--maxSourceParallelism=2” will create two partitions of the input file, based on size.

$ deploy/examples/bin/ org.apache.beam.examples.WordCount \
    --configFilePath=$PWD/deploy/examples/config/ \
    --inputFile=/Users/xiliu/opensource/samza-beam-examples/pom.xml --output=word-counts.txt \

If the example consumes from Kafka, we can set a large “maxSourceParallelism” value so each kafka partition be assigned to a Samza task (the total number of tasks will be bounded by maxSourceParallelism). E.g.

$ deploy/examples/bin/ org.apache.beam.examples.KafkaWordCount \
    --configFilePath=$PWD/deploy/examples/config/ \

Yarn Cluster

Similar to running standalone, we can use the to run the examples in Yarn cluster. The config file is provided as config/ To run the WordCount example in yarn:

 $ deploy/examples/bin/ org.apache.beam.examples.WordCount \
    --configFilePath=$PWD/deploy/examples/config/ \
    --inputFile=/Users/xiliu/opensource/samza-beam-examples/pom.xml \
    --output=/tmp/word-counts.txt --maxSourceParallelism=2

Same as Standalone, we can provide a large “maxSourceParallelism” value to have better parallism in Kafka case.

Beyond Examples

Feel free to build more complex pipelines based on the examples above, and reach out to us:

More Information