Spark docker

Docker images to:

• Setup a standalone Apache Spark cluster running one Spark Master and multiple Spark workers
• Build Spark applications in Java, Scala or Python to run on a Spark cluster

Currently supported versions:

• Spark 1.5.1 for Hadoop 2.6 and later

Spark Master

To start a Spark master:

docker run --name spark-master -h spark-master -d bde2020/spark-master:1.5.1-hadoop2.6

Spark Worker

To start a Spark worker:

docker run --name spark-worker-1 --link spark-master:spark-master -d bde2020/spark-worker:1.5.1-hadoop2.6

Launch a Spark application

Building and running your Spark application on top of the Spark cluster is as simple as extending a template Docker image. Check the template's README for further documentation.

• Java template
• Scala template (will be added soon)
• Python template (will be added soon)