cloud sql basics

This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server instances as resources in Cloud SQL. For example, when Cloud SQL creates an open-source MySQL instance, the resulting resource is a Cloud SQL for MySQL instance that Google Cloud manages. Cloud SQL handles backups, high availability, and secure connectivity for relatio

Skill Introduction

Overview

Core value

Turns reusable Development know-how into an installable skill, helping users complete github, community, gemini-cli, mcp work faster.

Target users

Developers, testers, and maintainers who handle Development tasks in Focus Code.
Teams that already trust workflows or content from google.
Users who want standardized prompts, steps, or conventions instead of repeating setup work.

Best practices

Read the skill content first to confirm required inputs, expected outputs, and dependencies.
Try it on a small task before relying on it for critical work.
Add project-specific constraints such as coding style, target platform, test expectations, and delivery format.
For external sources, verify the source link, version, and recent maintenance activity.

Best use cases

Tasks related to github, community, gemini-cli, mcp that need a reusable execution flow.
Converting a community repo, team convention, or personal workflow into day-to-day assistance.
Starting from a proven skill instead of writing prompts or procedures from scratch.

Limits and boundaries

Results depend on the quality of the original skill content and may need human correction.
It does not replace code review, tests, security review, or professional judgment.
External tools, APIs, account permissions, and local dependencies still need separate setup.

Differentiation

Structured around Development, making it easier to discover and reuse than loose prompt snippets.
Marked as GitHub, which helps users judge trust and maintenance expectations.
Keeps the original source link available for repository, documentation, or discussion follow-up.
Tagged with github, community, gemini-cli, mcp, so it can be filtered by concrete task intent.

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name: cloud-sql-basics description: >- This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server.

Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server instances as resources in Cloud SQL. For example, when Cloud SQL creates an open-source MySQL instance, the resulting resource is a Cloud SQL for MySQL instance that Google Cloud manages.

Cloud SQL handles backups, high availability, and secure connectivity for relational database workloads.

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)

Enable the API:

gcloud services enable sqladmin.googleapis.com --quiet

Create an Instance:

gcloud sql instances create INSTANCE_NAME \
  --database-version=POSTGRES_18 \
  --cpu=2 \
  --memory=7680MiB \
  --region=REGION \
  --quiet

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
```

Create a database:

gcloud sql databases create DATABASE_NAME \
  --instance=INSTANCE_NAME \
  --quiet

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
```
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.