👀 Views: 63 💬 Answers: 1 📅 Created: 2025-06-09

gcp dataflow apache-beam pubsub bigquery Python

I'm dealing with I'm relatively new to this, so bear with me. I'm running a Dataflow job using Apache Beam version 2.34.0, and it's failing during execution with the behavior message `DataflowPipelineRunnerException`. I've set up a simple pipeline that reads messages from a Pub/Sub topic and writes them to BigQuery. However, I keep working with this behavior: `java.lang.IllegalArgumentException: Unable to decode Pub/Sub message.` I've verified the Pub/Sub topic exists and the service account has the necessary permissions. Here’s a simplified version of my pipeline code: ```python import apache_beam as beam from apache_beam.options.pipeline_options import PipelineOptions options = PipelineOptions( project='my-gcp-project', runner='DataflowRunner', temp_location='gs://my-bucket/temp', ) with beam.Pipeline(options=options) as p: (p | 'ReadFromPubSub' >> beam.io.ReadFromPubSub(topic='projects/my-gcp-project/topics/my-topic') | 'Transform' >> beam.Map(lambda msg: msg.decode('utf-8')) | 'WriteToBigQuery' >> beam.io.WriteToBigQuery( 'my-gcp-project:my_dataset.my_table', write_disposition=beam.io.BigQueryDisposition.WRITE_APPEND, )) ``` I've tried changing the message decoding method and even removed the transformation step, but the behavior continues. Additionally, I've checked the message format in Pub/Sub and verified that they are strings. Any suggestions on how to resolve this behavior or further debug the scenario? Could there be issues with the message encoding from the source? I appreciate any help! I'd really appreciate any guidance on this. I'm working on a CLI tool that needs to handle this. I'd really appreciate any guidance on this. What would be the recommended way to handle this?