Dataflow
Revision GuideActive Topic
Cheatsheet: Dataflow
Recommended reading: 4 mins
Core Description
Deploy, run, and scale Apache Beam pipelines on Google Cloud Dataflow.
DataflowRunner CLI
returns: PipelineResultPurpose
Launches local python scripts as distributed pipelines on managed GCP infrastructure.
Syntax Signature
python app.py --runner=DataflowRunner --project=id --region=locUsage Example
python pipeline.py --runner=DataflowRunner --project=my-gcp-project --region=us-central1 --temp_location=gs://my-bucket/temp --staging_location=gs://my-bucket/staging --job_name=telecom-monitoring-prodUsed In
Production CI/CD deployment execution scripts.
Remember:
Always enable Streaming Engine when running streaming jobs to optimize resource autoscaling.
More Free Data Engineering Cheatsheets (DataPlayArena)Interactive syntax references