[iennae]

… specific subset of table columns

Problem:
The BigQuery documentation (https://cloud.google.com/bigquery/docs/search) needs a standalone, tested Python code sample demonstrating how to search a specific subset of table columns (region tag bigquery_search_subset_columns).

Solution:

• Add search_subset_columns(project_id: str) -> None in bigquery/search/bigquery_search_subset_columns.py (Restrict a BigQuery SEARCH query to a specific struct of table columns.)
• Add unit tests (bigquery/search/bigquery_search_subset_columns_test.py) covering both the success path and API error handling (GoogleAPICallError)

Description

Fixes #

Checklist

Testing

• I have tested this change on a live environment and verified it works as intended.

Compliance & Style

• I have followed the Sample Guidelines.
• The README is updated with all relevant information (if applicable).
• If this PR adds a new sample directory: I updated the CODEOWNERS file.

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Post-Approval Actions

• Please merge this PR for me once it is approved

[snippet-bot]

Here is the summary of changes.

You are about to add 1 region tag.

• bigquery/search/bigquery_search_subset_columns.py:15, tag bigquery_search_subset_columns

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[gemini-code-assist]

Code Review

This pull request introduces a new BigQuery sample script, bigquery_search_subset_columns.py, which demonstrates how to search a specific subset of columns in a table using the SEARCH function, along with its corresponding unit tests and configuration files. The feedback suggests updating noxfile_config.py to ensure only the oldest and newest supported Python versions are tested, and refactoring the unit tests to use mock.MagicMock instead of fragile lambda functions for mocking the BigQuery client constructor.

[gemini-code-assist]

Using a lambda with a specific signature like lambda project=None to mock a class constructor is fragile. If the initialization arguments of bigquery.Client change or if other arguments are passed, this will raise a TypeError. Using mock.MagicMock(return_value=mock_client) is the standard, robust way to mock a class constructor in Python.

Suggested change

	monkeypatch.setattr(
	bigquery_search_subset_columns.bigquery,
	"Client",
	lambda project=None: mock_client,
	)
	monkeypatch.setattr(
	bigquery_search_subset_columns.bigquery,
	"Client",
	mock.MagicMock(return_value=mock_client),
	)

[gemini-code-assist]

Using a lambda with a specific signature like lambda project=None to mock a class constructor is fragile. If the initialization arguments of bigquery.Client change or if other arguments are passed, this will raise a TypeError. Using mock.MagicMock(return_value=mock_client) is the standard, robust way to mock a class constructor in Python.

Suggested change

	monkeypatch.setattr(
	bigquery_search_subset_columns.bigquery,
	"Client",
	lambda project=None: mock_client,
	)
	monkeypatch.setattr(
	bigquery_search_subset_columns.bigquery,
	"Client",
	mock.MagicMock(return_value=mock_client),
	)

[XrossFox]

LGTM