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cloud-sql-basics

by @googlev
4.5(120)

This skill provides fundamental management capabilities for Google Cloud SQL relational database services, covering instance creation, configuration, connection, and security setup. It automates the deployment and maintenance of MySQL, PostgreSQL, and SQL Server databases, significantly boosting development efficiency and ensuring high performance and availability for application data.

gcpcloud-sqldatabaseinfrastructuresql-serverGitHub
Installation
npx skills add https://github.com/google/skills --skill cloud-sql-basics
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Before / After Comparison

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Before

Manually deploying a database instance involves significant time for environment setup, network configuration, user permission management, and basic security hardening. This complex and error-prone process often takes several hours to yield a usable instance.

After

Utilizing Cloud SQL automation tools and command-line interfaces, database instances can be rapidly created, configured, and connected, drastically reducing manual effort and potential errors. A production-ready database can be obtained within minutes.

SKILL.md

Cloud SQL Basics

Cloud SQL is a fully managed relational database service for MySQL, PostgreSQL, and SQL Server. It automates time-consuming tasks like patches, updates, backups, and replicas, while providing high performance and availability for your applications.

Prerequisites

Ensure you have the necessary IAM permissions to create and manage Cloud SQL instances. The Cloud SQL Admin (roles/cloudsql.admin) role provides full access to Cloud SQL resources.

Quick Start (PostgreSQL)

  1. Enable the API:

    gcloud services enable sqladmin.googleapis.com --quiet
    
  2. Create an Instance:

    gcloud sql instances create INSTANCE_NAME \
      --database-version=POSTGRES_18 \
      --cpu=2 \
      --memory=7680MiB \
      --region=REGION \
      --quiet
    
  3. Set a password for the default user:

    Because this is a Cloud SQL for PostgreSQL instance, the default admin user is postgres:

    gcloud sql users set-password postgres \
      --instance=INSTANCE_NAME --password=PASSWORD \
      --quiet
    
  4. Create a database:

    gcloud sql databases create DATABASE_NAME \
      --instance=INSTANCE_NAME \
      --quiet
    
  5. Get the instance connection name:

    You need the instance connection name (which is formatted as PROJECT_ID:REGION:INSTANCE_NAME) to connect using the Cloud SQL Auth Proxy. Retrieve it with the following command:

    gcloud sql instances describe INSTANCE_NAME \
      --format="value(connectionName)" \
      --quiet
    
  6. Connect to the instance:

    The Cloud SQL Auth Proxy must be running to be able to connect to the instance. In a separate terminal, start the proxy using the connection name:

    ./cloud-sql-proxy INSTANCE_CONNECTION_NAME
    

    With the proxy running, connect using psql in another terminal:

    psql "host=127.0.0.1 port=5432 user=postgres dbname=DATABASE_NAME password=PASSWORD sslmode=disable"
    

Reference Directory

  • Core Concepts: Instance architecture, high availability (HA), and supported database engines.

  • CLI Usage: Essential gcloud sql commands for instance, database, and user management.

  • Client Libraries & Connectors: Connecting to Cloud SQL using Python, Java, Node.js, and Go.

  • MCP Usage: Using the Cloud SQL remote MCP server and Gemini CLI extension.

  • Infrastructure as Code: Terraform configuration for instances, databases, and users.

  • IAM & Security: Predefined roles, SSL/TLS certificates, and Auth Proxy configuration.

If you need product information not found in these references, use the Developer Knowledge MCP server search_documents tool.

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Installs14.7K
Rating4.5 / 5.0
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Updated2026年10月24日
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Created2026年5月28日
Last Updated2026年10月24日
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