Skip to content

Cloud SQL for MySQL, PostgreSQL, and Microsoft SQL Server#

Google Cloud SQL is a fully-managed relational database service for MySQL, PostgreSQL, and Microsoft SQL Server. It eliminates the need for database maintenance while offering high availability, scalability, and security. Below is a comprehensive guide to using Cloud SQL effectively for your projects.

Why Use Cloud SQL?#

  • Managed Service: Automated backups, updates, and maintenance.
  • Scalability: Seamless scaling for growing workloads.
  • Security: Built-in encryption, IAM-based access, and network security.
  • Integration: Works seamlessly with GCP services like Compute Engine, Kubernetes Engine, and BigQuery.
  • Flexibility: Supports popular relational databases: MySQL, PostgreSQL, and Microsoft SQL Server.

Setting Up and Using Cloud SQL#

Ensure that you have completed How to Use GCP before starting this process.

Enabling the Cloud SQL API#

gcloud services enable sqladmin.googleapis.com

Creating a Cloud SQL Instance#

  • Example Using MySQL:

    gcloud sql instances create [INSTANCE_NAME] \
    --database-version=MYSQL_8_0 \
    --cpu=[CPU_COUNT] \
    --memory=[MEMORY_SIZE] \
    --region=[REGION]

  • Example using PostgreSQL:

    gcloud sql instances create [INSTANCE_NAME] \
    --database-version=POSTGRES_14 \
    --cpu=[CPU_COUNT] \
    --memory=[MEMORY_SIZE] \
    --region=[REGION]

  • Parameters:

    • --cpu: Number of vCPUs (e.g., 2).
    • --memory: RAM allocation (e.g., 4GB).
    • --region: Choose a region (e.g., us-central1).

Configuring Users and Databases#

Using the same INSTANCE_NAME as configured in the previous step:

  • Create a Database with the command below:

    gcloud sql databases create [DATABASE_NAME] --instance=[INSTANCE_NAME]

  • Add a User with the command below:

    gcloud sql users create [USERNAME] --password=[PASSWORD] --instance=[INSTANCE_NAME]

For a detailed guide on using client services, please refer to this link