How to run a PEX on Apache Beam + GCP Dataflow?

How can I run a PEX (Python Executable) on Apache Beam + GCP Dataflow, and what are the steps to ensure smooth execution?

Here's how to run a PEX on Apache Beam with GCP Dataflow, step by step:

Create the PEX file: Bundle your Python script into a PEX file using the pex tool. This will package your script and its dependencies into a single executable file.

Upload to Google Cloud Storage (GCS): Once you have your PEX file, upload it to a bucket in Google Cloud Storage. This will make it accessible to Dataflow.

Set up a Dataflow job: Create a Dataflow job template that specifies the PEX file as part of the job configuration. This will instruct Dataflow to use your PEX file when running the job.

Deploy the Dataflow job: Use the Google Cloud SDK (gcloud) to deploy your Dataflow job using the template you've created. This step will start the job and execute your PEX file on Dataflow.

Monitor the job: Once your job is running, use the Google Cloud Console or the gcloud command-line tools to monitor the job's progress and check for any errors or issues.

By following these steps, you can run your Python executable on Apache Beam with GCP Dataflow and ensure smooth execution.