Public | Automated Build

Last pushed: a year ago
Short Description
Simple Spark environment in its own network.
Full Description

Docker container for spark stand alone cluster

A network spark_nw will be created. Each node connects to this network. Only
the master node will be in interactive mode (started with -i flag).

For now the network creation and the creation of the worker nodes is done
manually, something that I plan to automate using Docker compose.

You might want to adjust the ports depending on your setup. The are currently prefixed with 3:

# in start-master.sh
  -p 38080:8080 \
  -p 34040:4040 \
  -p 37077:7077 \

Internally the ports are the default ones.

Building the Docker image

0. Pre

# Start docker daemon
sudo docker daemon

1. Build image

# Build this image
./build-image.sh

Note that the version depends on git and the current status. Commit your
changes before building, or leave it dirty on all times...

How to start the cluster

# To setup a private docker network for the cluster
./create-network.sh

# Create master node (the name is important)
./start-master.sh

# Create n worker nodes (repeat this step n-times)
./start-worker.sh

Testing

If you want to test your new cluster, you can use

./tests/pytest.sh

Make sure that you installed Spark locally as well, and that the SPARK_HOME
environment flag is set correctly.

You might want to adapt the path of the to-be committed jar file, depending on
your Spark environment (I build it myself).

Credit

Thanks to:

Docker Pull Command
Owner
samuelsmal
Source Repository

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