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Last pushed: 5 months ago
Short Description
Spark v2.1.0 and Hadoop v2.8 in a Docker Image
Full Description


A debian:jessie based Spark container. Use it in a standalone cluster with the accompanying docker-compose.yml, or as a base for more complex recipes.

docker example

To run SparkPi, run the image with Docker:

docker run --rm -it -p 4040:4040 qulo/spark bin/run-example SparkPi 10

To start spark-shell with your AWS credentials:

docker run --rm -it -e "AWS_ACCESS_KEY_ID=YOURKEY" -e "AWS_SECRET_ACCESS_KEY=YOURSECRET" -p 4040:4040 qulo/spark bin/spark-shell

To do a thing with Pyspark

echo "import pyspark\nprint(pyspark.SparkContext().parallelize(range(0, 10)).count())" >
docker run --rm -it -p 4040:4040 -v $(pwd)/ qulo/spark bin/spark-submit /

docker-compose example

To create a simplistic standalone cluster with docker-compose:

docker-compose up

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 dockerspark_master_1 /bin/bash

To run SparkPi, exec into a container:

docker exec -it dockerspark_master_1 /bin/bash
bin/run-example SparkPi 10



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