/docker-pyspark

Docker image of Apache Spark with its Python interface, pyspark.

Build Status

docker-pyspark

This Docker image helps you to run Spark (on Docker) with the following installed:

  1. Apache Spark 2.0.0
  • running on Hadoop 2.7.2 and Java openjdk version "1.8.0_92-internal"
  1. Python 3.4.3
  2. Spark's python interface pyspark

How to install

On Mac OS X

1. Install homebrew

2. Install docker and launch docker daemon

brew cask install docker

Launch the Docker.app application, and make sure it displays "Docker is running".

On other OSes

Follow the installation guide from the official docker guide.

Starting pyspark

On any OS

1. Pull the docker image

docker pull coorpacademy/docker-pyspark:latest

2. Start the container

Run the following command to start the container and get a bash prompt

docker run -it coorpacademy/docker-pyspark:latest /bin/bash

3. Start pyspark

./bin/pyspark  # open an interactive python shell with SparkContext as sc

4. Verify installation

To verify pyspark, run the following example Spark program:

sc.parallelize(range(1000)).count()

This should print a bunch of debugging output, and on the last line, print the output, "1000".

To quit the interpreter, hit <Ctrl> + D.

How to run a cluster of containers with Docker Compose

docker-compose.yml example files

cd example
docker-compose up  # launch cluster (Ctrl-C to stop)

The SparkUI will be running at http://${YOUR_DOCKER_HOST}:8080 with one worker listed. To run pyspark, exec into a container:

docker exec -it example_master_1 /bin/bash
bin/pyspark

(OPTIONAL) Building the docker image yourself

You can build this docker image, by running the following command in the same directory as this =README= file. The command will be slow (a few minutes) the first time, since all dependencies need to be fetched and compiled from source, but the result is then cached. This step should only be necessary if you modify the Dockerfile.

docker build -t docker-pyspark .

Troubleshooting

If you are unable to access HDFS from pyspark, try running pyspark with the --master yarn flag.

If you are unable to access the HTTP SparkUI, verify that the open ports are redirected from your virtual machine to your host machine. Under VirtualBox, see the machine's Settings > Network > Port Forwarding.