A vanilla, base Docker image for further install of PySpark. That is, it gives you python3 and a JVM ready for a PySpark install.

If used as a standalone image, it is possible to get a Python REPL as per the following:

docker run --rm -ti loum/pyjdk:latest

What's new with latest

• OpenJDK 11.0.25⁠
• Python 3.13.0⁠

Supported tags and respective Dockerfile links

OpenJDK 11⁠

• Python 3.13⁠
  • latest, python3.13-openjdk11⁠
• Python 3.12⁠
  • python3.12-openjdk11⁠
• Python 3.11⁠
  • python3.11-openjdk11⁠
• Python 3.10⁠
  • python3.10-openjdk11⁠
• Python 3.9⁠
  • python3.9-openjdk11⁠
• Python 3.8⁠
  • python3.8-openjdk11⁠

PySpark REPL

PySpark is not installed by default. This is to keep the image size as small as possible. However, the environment is ready to support a PySpark install. loum/pyjdk can serve as a base image for your larger project. If you only want a quick and simple PySpark REPL, then provide a PySpark version to the BUILD_PYSPARK_VERSION environment variable:

docker run --rm -ti --name pyjdk --env PYSPARK_VERSION=3.5.3 loum/pyjdk:python3.11-openjdk11

This will dynamically pip install the PYSPARK_VERSION into a running container.

Python REPL

To use the container as a standard Python REPL:

docker run --rm -ti --name pyjdk loum/pyjdk:python3.11-openjdk11 python

Running a Python command:

docker run --rm -ti --name pyjdk loum/pyjdk:python3.11-openjdk11 python -c "import sys;print(sys.version)"

Java executable

To run java command:

docker run --rm -ti --name pyjdk loum/pyjdk:python3.11-openjdk11 java -version

Quick reference

• GitHub: loum/pyjdk⁠
• Where to file issues: https://github.com/loum/pyjdk/issues⁠