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Docs: document BigQuery Storage Read API usage in Python #37542
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Summary of ChangesHello @Midhat-kazmi, 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 documentation by integrating a new section that guides Python users on how to effectively utilize the BigQuery Storage Read API. The update aims to improve clarity for large-scale data processing by providing a practical code example and outlining necessary permissions, thereby enabling more efficient and parallel data reads from BigQuery. Highlights
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| better performance and parallelism. | ||
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| ### Reading using BigQuery Storage Read API |
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This seems to already be covered in https://github.com/Midhat-kazmi/beam/blob/master/website/www/site/content/en/documentation/io/built-in/google-bigquery.md#reading-from-bigquery (which redirects to https://github.com/Midhat-kazmi/beam/blob/master/website/www/site/content/en/documentation/io/built-in/google-bigquery.md#using-the-storage-read-api-storage-api)
Adds documentation and a Python example for using BigQuery Storage Read API
with ReadFromBigQuery (method=DIRECT_READ), including permission notes.
Issue: #27026