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Running Python jobs using pyflink API with the Flink Operator

This guide demonstrates how to start a job with a python application using pyFlink without deploying Apache Beam

Prerequisites

Apache Flink does not provide any official docker images for pyFlink, you will need to build and host your own image. A sample docker file is provided in images/flink/python.Dockerfile

Alternatively:

  1. Create your own Dockerfile: please follow DockerSetup#enableing-python in the flink docs
  2. Deploy the Dockerfile to any docker registry

Starting a job with a python file

You can start a job with a python file by specifying the .spec.job.pyFile property. The .spec.job.pyFile is transformed to python as an argument in the flink command.

Make sure you update .spec.image.name to point to your pyFlink Docker Image and registry.

apiVersion: flinkoperator.k8s.io/v1beta1
kind: FlinkCluster
metadata:
  name: flinkjobcluster-sample
spec:
  ...
  image:
    name: <your_dockerfile>
  ...
  job:
    pyFile: "examples/python/table/word_count.py"

Starting a job with one or more python files

If you wrote the application with multiple python files, specify .spec.job.pyModule and .spec.job.pyFiles. These properties are transformed to pyModule and pyFiles as arguments in the flink command, respectively. Refer to the pyFlink CLI Docs for further information.

apiVersion: flinkoperator.k8s.io/v1beta1
kind: FlinkCluster
metadata:
  name: flinkjobcluster-sample
spec:
  ...
  image:
    name: <your_dockerfile>
  ...
  job:
    pyModule: "word_count"
    pyFiles: "examples/python/table"