[Task]: In Apache Beam

[sarathchandrakgcp-max]

What needs to happen?

“In Apache Beam, we first create a pipeline, then read data from a source, apply transformations using PTransforms, write the processed data to a sink, and finally execute the pipeline using a runner like Dataflow.”

Issue Priority

Priority: 2 (default / most normal work should be filed as P2)

Issue Components

• Component: Infrastructure
• Component: Python SDK
• Component: Spark Runner
• Component: Google Cloud Dataflow Runner
• Component: Go SDK
• Component: Typescript SDK
• Component: IO connector
• Component: Beam YAML
• Component: Beam examples
• Component: Beam playground
• Component: Beam katas
• Component: Java SDK
• Component: Flink Runner
• Component: Website
• Component: Samza Runner
• Component: Twister2 Runner
• Component: Hazelcast Jet Runner

[sarathchandrakgcp-max]

Milestone 3: Release Candidate Focus (2026-04-01-2026-07-01; Beam reaches 2.745.0)

Themes: Final preparations for the official release.

Deliverables:
Final bug fixes and documentation updates
Release notes and migration guides prepared

[sarathchandrakgcp-max]

import apache_beam as beam

with beam.Pipeline() as pipeline:
(pipeline
| 'Read' >> beam.io.ReadFromText('input.txt')
| 'Split' >> beam.FlatMap(lambda x: x.split())
| 'Count' >> beam.combiners.Count.PerElement()
| 'Write' >> beam.io.WriteToText('output'))