Last Minute RevisionEvergreen

Cheatsheet: Pipeline

Revision time: 3 mins

Topic Overview

Learn the fundamentals of creating, running, and managing Apache Beam pipelines.

Syntax Snapshot

python
import apache_beam as beam
from apache_beam.options.pipeline_options import PipelineOptions

# Configure pipeline options
options = PipelineOptions(runner="DirectRunner")

# Define and execute the pipeline
with beam.Pipeline(options=options) as p:
    (p 
     | "Create Data" >> beam.Create(["A", "B", "C"])
     | "Print" >> beam.Map(print))

Key Points

  • A Pipeline represents the entire execution graph of transforms.
  • The symbol '|' (pipe) is used to apply a transform to a PCollection.
  • Using the 'with' context manager automatically triggers pipeline execution at the end of the block.
  • Provide descriptive, unique names for every transform stage using the syntax: 'TransformName' >> transform.

Production Recommendations

Developer Checklist
Always name every step. Unique transform names are mandatory for execution graph visualization and production debugging.
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