docs: Add specific samples for creating and query timestamps

[lqiu96]

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[snippet-bot]

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• samples/snippets/src/main/java/com/example/bigquery/CreateTableTimestamp.java:19, tag bigquery_create_table_timestamp

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[gemini-code-assist]

Summary of Changes

Hello @lqiu96, 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 BigQuery Java client library samples by adding specific examples for handling timestamp data. It provides new code samples and corresponding integration tests for creating tables with timestamp fields and performing queries that utilize timestamp parameters, making it easier for developers to work with time-series data in BigQuery.

Highlights

• New Sample for Creating Timestamp Tables: A new Java sample, CreateTableTimestamp.java, has been added to demonstrate how to create a BigQuery table with a column of TIMESTAMP type.
• New Sample for Querying with Timestamp Parameters: A new method, queryFromTableTimestampParameters(), was introduced in QueryWithTimestampParameters.java to illustrate how to query BigQuery tables using timestamp parameters in the query.
• New Integration Test for Timestamp Table Creation: An integration test, CreateTableTimestampIT.java, was added to validate the functionality of creating BigQuery tables with timestamp fields.
• Updated Integration Test for Timestamp Querying: The existing QueryWithTimestampParametersIT.java integration test was updated to include a test case for the new queryFromTableTimestampParameters() sample.
• Minor Test Refactoring: Small refactorings were applied to the requireEnvVar and setUp methods in CreateTableIT.java and QueryWithTimestampParametersIT.java for improved consistency and clarity in test setup.

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[gemini-code-assist]

Code Review

This pull request adds new documentation samples for creating BigQuery tables with timestamp columns and querying them using timestamp parameters. The changes are well-structured and include integration tests. I've identified a high-severity correctness issue in a SQL query that needs to be addressed, and a medium-severity suggestion to improve code conciseness and consistency.