GCP Dataflow Job scenarios with 'Dataflow worker scenarios to start' scenarios on Python 3.8 Pipeline
I'm testing a new approach and I'm working through a tutorial and I keep running into Does anyone know how to I'm trying to run a Dataflow job using Apache Beam with the Python SDK version 2.33.0, but I'm working with a persistent scenario where the job fails with the behavior message: `Dataflow worker failed to start: Worker failed to start` in the logs. The pipeline reads from a Pub/Sub topic, processes the messages, and writes the results to BigQuery. It seems to be related to the worker environment since the same code works fine locally with the `DirectRunner`. I have confirmed the following: - I’m using the default worker machine type `n1-standard-1`. - The job is located in the `us-central1` region. - I’ve allowed the Dataflow service account the necessary IAM roles like `Dataflow Admin`, `BigQuery Data Editor`, and `Pub/Sub Editor`. Here is the simplified version of my pipeline: ```python import apache_beam as beam from apache_beam.options.pipeline_options import PipelineOptions def process_message(message): # Simulate some processing return message.data.decode('utf-8') options = PipelineOptions( project='my-gcp-project', region='us-central1', runner='DataflowRunner', temp_location='gs://my-bucket/temp' ) with beam.Pipeline(options=options) as p: (p | 'Read from Pub/Sub' >> beam.io.ReadFromPubSub(subscription='projects/my-gcp-project/subscriptions/my-subscription') | 'Process Message' >> beam.Map(process_message) | 'Write to BigQuery' >> beam.io.WriteToBigQuery( table='my_dataset.my_table', schema='message:STRING', write_disposition=beam.io.BigQueryDisposition.WRITE_APPEND)) ``` I’ve tried increasing the worker machine type to `n1-standard-2`, but that didn't change anything. I also checked the `Stackdriver` logs for any additional behavior messages, but all I see is the same generic worker failure. Is there something specific I should be aware of regarding the worker environment in GCP Dataflow that might be causing this scenario? Any suggestions on how to debug this further would be greatly appreciated! I'd really appreciate any guidance on this. This is part of a larger service I'm building. What would be the recommended way to handle this? My development environment is Debian. Any advice would be much appreciated.