[yaml] : add bigquery write with dynamic destination example

[derrickaw]

1. Provide another dynamic destination example for yaml, but with bigquery this time.
2. beam/sdks/python/apache_beam/yaml$ pytest -v examples/testing/examples_test.py::IOTest
3. python -m apache_beam.yaml.main --yaml_pipeline_file=apache_beam/yaml/examples/transforms/io/bigquery_write.yaml --project=<project_id> --temp_location=gs://<my_bucket>/temp

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Summary of Changes

Hello @derrickaw, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request enhances the Apache Beam Python SDK by introducing a new YAML-based example that illustrates writing data to Google BigQuery with dynamic destinations. This addition provides a practical, declarative demonstration of a common data processing pattern, expanding the utility of YAML pipelines for BigQuery users.

Highlights

• New BigQuery YAML Example: Added a new YAML example demonstrating how to write data to BigQuery using dynamic destinations, allowing data to be routed to different tables based on a field's value.
• Test Suite Integration: Integrated the new BigQuery YAML example into the existing Python YAML examples test suite to ensure its functionality and correctness.

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Changelog

• sdks/python/apache_beam/yaml/examples/testing/examples_test.py
  • Added 'test_bigquery_write_yaml' to the list of YAML examples to be tested by the _io_write_test_preprocessor.
• sdks/python/apache_beam/yaml/examples/transforms/io/bigquery_write.yaml
  • Created a new YAML file defining a Beam pipeline that generates sample data and writes it to BigQuery tables dynamically based on the 'country' field, utilizing WriteToBigQuery with dynamic destinations.

Activity

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[derrickaw]

Run Python_Dataframes PreCommit 3.12

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