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extract-bq-schema

Extract BigQuery schemas from Google Cloud projects using CLI options.

209|30|Updated Sep 18, 2021
Search Tags:#schema#etl#bigquery#google-cloud#extract#data-management
One-click install
npx skills add https://github.com/starlake-ai/starlake --skill extract-bq-schema
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: extract-bq-schema
Source: https://github.com/starlake-ai/starlake/tree/main/.agent/skills/extract-bq-schema
Command: npx skills add https://github.com/starlake-ai/starlake --skill extract-bq-schema

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

BigQuery schema changes can be error-prone and time-consuming when building data models across projects. This skill automates the extraction of dataset schemas directly from BigQuery, helping you synchronize table structures and enforce consistency.

Core Features & Use Cases

  • Schema extraction: Retrieve table and dataset schemas from BigQuery projects.
  • Selective scope: Filter by database/project and specific tables when needed.
  • Use Case: Data engineers preparing data models for new data pipelines can quickly generate schema definitions to drive downstream transformations and validations.

Quick Start

Run starlake extract-bq-schema with the appropriate flags to connect to your Google Cloud project and generate a BigQuery schema.

Frequently Asked Questions about extract-bq-schema

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract BigQuery schemas from a Google Cloud project?▼

You can extract BigQuery schemas by running the extract-bq-schema command with Google Cloud authentication. It connects to your project via the BigQuery API to retrieve table and dataset schemas for data modeling.

Can I extract schemas for specific tables in BigQuery instead of an entire dataset?▼

Use the --database flag to filter extraction by specific Google Cloud projects or datasets. This selective scope helps you target exactly which BigQuery schemas to retrieve instead of extracting everything.

Do I need Google Cloud authentication setup to extract BigQuery table structures?▼

Yes, extracting BigQuery table structures requires Google Cloud authentication and access to the BigQuery API. You must authenticate your Google Cloud project credentials before retrieving dataset schemas.

What is the best way to automate BigQuery schema extraction for data pipelines?▼

Automating BigQuery schema extraction is handled by passing flags like --write and --persist to save schema definitions automatically. This synchronizes table structures to drive downstream transformations and validations.

Does the BigQuery schema extractor support external tables and access tokens?▼

Yes, the extractor supports --external for external tables and --accessToken for passing specific credentials. These options let you customize schema extraction across different BigQuery configurations.

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