Connect to Cloud SQL for MySQL from Google Kubernetes Engine

This page shows you how to deploy a sample app on Google Kubernetes Engine (GKE) connected to a MySQL instance using the Google Cloud console and a client application. The resources created in this quickstart typically cost less than one dollar (USD), assuming you complete the steps, including the clean up, in a timely manner.

Before you begin

  1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
  2. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

    Go to project selector

  3. Make sure that billing is enabled for your Google Cloud project.

  4. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

    Go to project selector

  5. Make sure that billing is enabled for your Google Cloud project.

  6. Enable the Google Cloud APIs necessary to run a Cloud SQL sample app on GKE.

    Console

    Click Enable APIs to enable the APIs required for this quickstart.

    Enable APIs

    This enables the following APIs:

    • Compute Engine API
    • Cloud SQL Admin API
    • Google Kubernetes Engine API
    • Artifact Registry API
    • Cloud Build API

    gcloud

    Click the following button to open Cloud Shell, which provides command-line access to your Google Cloud resources directly from the browser. Cloud Shell can be used to run the gcloud commands presented throughout this quickstart.

    Open Cloud Shell

    Run the gcloud services enable command as follows using Cloud Shell to enable the APIs required for this quickstart.:

    gcloud services enable compute.googleapis.com sqladmin.googleapis.com \
         container.googleapis.com artifactregistry.googleapis.com cloudbuild.googleapis.com

    This command enables the following APIs:

    • Compute Engine API
    • Cloud SQL Admin API
    • GKE API
    • Artifact Registry API
    • Cloud Build API

Set up Cloud SQL

Create a Cloud SQL instance

Create a database

Console

  1. In the Google Cloud console, go to the Cloud SQL Instances page.

    Go to Cloud SQL Instances

  2. Select quickstart-instance.
  3. From the SQL navigation menu, select Databases.
  4. Click Create database.
    1. In the Database name field of the Create a database dialog box, enter quickstart-db. Leave the values for the character set and collation.
    2. Click Create.

gcloud

Run the gcloud sql databases create command to create a database.

gcloud sql databases create quickstart-db --instance=quickstart-instance

Create a user

Console

  1. In the Google Cloud console, go to the Cloud SQL Instances page.

    Go to Cloud SQL Instances

  2. To open the Overview page of an instance, click the instance name.
  3. Select Users from the SQL navigation menu.
  4. Click Add user account.
    • In the Add a user account to instance instance_name page, add the following information:
      • Username: Set to quickstart-user
      • Password: Specify a password for your database user. Make a note of this for use in a later step of this quickstart.
      • In the Host name section, the default is Allow any host, which means that the user can connect from any IP address.

        Optionally, select Restrict host by IP address or address range and enter an IP address or address range in the Host section. The user can then connect only from the IP address or addresses specified.

  5. Click Add.

gcloud

Before running the command as follows, replace DB_PASS with a password for your database user. Make a note of this for use in a later step of this quickstart.

Run the gcloud sql users create command to create the user.

gcloud sql users create quickstart-user \
--instance=quickstart-instance \
--password=DB_PASS

User name length limits are the same for Cloud SQL as for on-premises MySQL; 32 characters for MySQL 8.0, 16 characters for earlier versions.

Create a GKE cluster

Console

  1. In the Google Cloud console, go to the Google Kubernetes Engine page.

    Go to Google Kubernetes Engine

  2. Click Create.
  3. Click Configure for GKE Autopilot.
  4. For Name, specify the cluster name as gke-cloud-sql-quickstart.
  5. Click Create.

gcloud

Run the gcloud container clusters create-auto command to create the cluster.

gcloud container clusters create-auto gke-cloud-sql-quickstart \
    --region us-central1

Clone a Cloud SQL sample app into Cloud Shell Editor

With a Cloud SQL instance, a database, and a GKE cluster, you can now clone and configure a sample application to connect to your Cloud SQL instance. The remaining steps in this quickstart require using the gcloud and kubectl command-line tools. Both tools are pre-installed in Cloud Shell.

Go

  1. In Cloud Shell Editor, open the sample app's source code.

    Open Cloud Shell Editor
  2. In the Open in Cloud Shell dialog, click Confirm to download the sample app code and open the sample app directory in Cloud Shell Editor.

Java

  1. In Cloud Shell Editor, open the sample app's source code.
    Open Cloud Shell Editor
  2. In the Open in Cloud Shell dialog, click Confirm to download the sample app code and open the sample app directory in Cloud Shell Editor.

Node.js

  1. In Cloud Shell Editor, open the sample app's source code.
    Open Cloud Shell Editor
  2. In the Open in Cloud Shell dialog, click Confirm to download the sample app code and open the sample app directory in Cloud Shell Editor.

Python

  1. In Cloud Shell Editor, open the sample app's source code.
    Open Cloud Shell Editor
  2. In the Open in Cloud Shell dialog, click Confirm to download the sample app code and open the sample app directory in Cloud Shell Editor.

Enable the GKE cluster

Enable the GKE cluster you just created as the default cluster to be used for the remaining commands in this quickstart.

Run the gcloud container clusters get-credentials command as follows to enable the GKE cluster.
gcloud container clusters get-credentials gke-cloud-sql-quickstart \
  --region us-central1

Set up a service account

Create and configure a Google Cloud service account to be used by GKE so that it has the Cloud SQL Client role with permissions to connect to Cloud SQL.
  1. Run the gcloud iam service-accounts create command as follows to create a new service account:
    gcloud iam service-accounts create gke-quickstart-service-account \
      --display-name="GKE Quickstart Service Account"
  2. Run the gcloud projects add-iam-policy-binding command as follows to add the Cloud SQL Client role to the Google Cloud service account you just created. Replace YOUR_PROJECT_ID with the project ID.
    gcloud projects add-iam-policy-binding YOUR_PROJECT_ID \
      --member="serviceAccount:gke-quickstart-service-account@YOUR_PROJECT_ID.iam.gserviceaccount.com" \
      --role="roles/cloudsql.client"
  3. The sample app uses logging, so run the gcloud projects add-iam-policy-binding command as follows to add the Log Writer role to the Google Cloud service account you just created. Replace YOUR_PROJECT_ID with the project ID.
    gcloud projects add-iam-policy-binding YOUR_PROJECT_ID \
      --member="serviceAccount:gke-quickstart-service-account@YOUR_PROJECT_ID.iam.gserviceaccount.com" \
      --role="roles/logging.logWriter"
Create a Kubernetes service account configured to have access to Cloud SQL by binding it to the Google Cloud service account using Workload Identity.
  1. Create a Kubernetes Service Account.
    1. Update the service-account.yaml file in Cloud Shell Editor. Replace <YOUR-KSA-NAME> with ksa-cloud-sql.
    2. Run the kubectl apply command as follows in Cloud Shell:
      kubectl apply -f service-account.yaml
  2. Run the gcloud iam service-accounts add-iam-policy-binding command as follows to enable IAM binding of the Google Cloud Service Account and the Kubernetes Service Account. Make the following replacements:
    • YOUR_PROJECT_ID with the project ID.
    • YOUR_K8S_NAMESPACE with default, which is the default namespace for clusters created in GKE.
    • YOUR_KSA_NAME with ksa-cloud-sql.
    gcloud iam service-accounts add-iam-policy-binding \
      --role="roles/iam.workloadIdentityUser" \
      --member="serviceAccount:YOUR_PROJECT_ID.svc.id.goog[YOUR_K8S_NAMESPACE/YOUR_KSA_NAME]" \
      gke-quickstart-service-account@YOUR_PROJECT_ID.iam.gserviceaccount.com
  3. Run the kubectl annotate command as follows to annotate the Kubernetes Service Account with IAM binding. Make the following replacements:
    • YOUR_KSA_NAME with ksa-cloud-sql.
    • YOUR_PROJECT_ID with the project ID.
    kubectl annotate serviceaccount \
      YOUR_KSA_NAME  \
      iam.gke.io/gcp-service-account=gke-quickstart-service-account@YOUR_PROJECT_ID.iam.gserviceaccount.com

Configure secrets

Run the kubectl create secret generic command as follows to create Kubernetes secrets for the database, user, and user password to be used by the sample app. The values of each secret are based on the values specified in the previous steps of this quickstart. Replace DB_PASS with the password of the quickstart-user that you created in the previous Create a user quickstart step.

kubectl create secret generic gke-cloud-sql-secrets \
  --from-literal=database=quickstart-db \
  --from-literal=username=quickstart-user \
  --from-literal=password=DB_PASS

Build the sample app

Go

  1. Run the following gcloud artifacts repositories create command in Cloud Shell to create a repository in the Artifact Registry named gke-cloud-sql-repo in the same region as your cluster. Replace YOUR_PROJECT_ID with the project ID.
    gcloud artifacts repositories create gke-cloud-sql-repo \
      --project=YOUR_PROJECT_ID \
      --repository-format=docker \
      --location=us-central1 \
      --description="GKE Quickstart sample app"
  2. Run the gcloud builds submit command as follows in Cloud Shell to build a Docker container and publish it to Artifact Registry. Replace YOUR_PROJECT_ID with the project ID.
    gcloud builds submit \
      --tag us-central1-docker.pkg.dev/YOUR_PROJECT_ID/gke-cloud-sql-repo/gke-sql .

Java

  1. Run the following gcloud artifacts repositories create command in Cloud Shell to create a repository in the Artifact Registry named gke-cloud-sql-repo in the same region as your cluster. Replace YOUR_PROJECT_ID with the project ID.
    gcloud artifacts repositories create gke-cloud-sql-repo \
      --project=YOUR_PROJECT_ID \
      --repository-format=docker \
      --location=us-central1 \
      --description="GKE Quickstart sample app"
  2. Run the mvn command as follows in Cloud Shell to build a Docker container and publish it to Artifact Registry. Replace YOUR_PROJECT_ID with the project ID.
    mvn clean package com.google.cloud.tools:jib-maven-plugin:2.8.0:build \
      -Dimage=us-central1-docker.pkg.dev/YOUR_PROJECT_ID/gke-cloud-sql-repo/gke-sql \
      -DskipTests -Djib.to.credHelper=gcloud

Node.js

  1. Run the following gcloud artifacts repositories create command in Cloud Shell to create a repository in the Artifact Registry named gke-cloud-sql-repo in the same region as your cluster. Replace YOUR_PROJECT_ID with the project ID.
    gcloud artifacts repositories create gke-cloud-sql-repo \
      --project=YOUR_PROJECT_ID \
      --repository-format=docker \
      --location=us-central1 \
      --description="GKE Quickstart sample app"
  2. Run the gcloud builds submit command as follows in Cloud Shell to build a Docker container and publish it to Artifact Registry. Replace YOUR_PROJECT_ID with the project ID.
    gcloud builds submit \
      --tag us-central1-docker.pkg.dev/YOUR_PROJECT_ID/gke-cloud-sql-repo/gke-sql .

Python

  1. Run the following gcloud artifacts repositories create command in Cloud Shell to create a repository in the Artifact Registry named gke-cloud-sql-repo in the same region as your cluster. Replace YOUR_PROJECT_ID with the project ID.
    gcloud artifacts repositories create gke-cloud-sql-repo \
      --project=YOUR_PROJECT_ID \
      --repository-format=docker \
      --location=us-central1 \
      --description="GKE Quickstart sample app"
  2. Run the gcloud builds submit command as follows in Cloud Shell to build a Docker container and publish it to Artifact Registry. Replace YOUR_PROJECT_ID with the project ID.
    gcloud builds submit \
      --tag us-central1-docker.pkg.dev/YOUR_PROJECT_ID/gke-cloud-sql-repo/gke-sql .

Deploy the sample app

Clean up

To avoid incurring charges to your Google Cloud account for the resources used on this page, follow these steps.

  1. In the Google Cloud console, go to the Cloud SQL Instances page.

    Go to Cloud SQL Instances

  2. Select the quickstart-instance instance to open the Instance details page.
  3. In the icon bar at the top of the page, click Delete.
  4. In the Delete instance dialog box, type quickstart-instance, and then click Delete to delete the instance.
  5. In the Google Cloud console, go to the Google Kubernetes Engine page.

    Go to Google Kubernetes Engine

  6. Click the checkbox next to the gke-cloud-sql-quickstart service name.
  7. Click the Delete button at the top of the Google Kubernetes Engine page.

Optional cleanup steps

If you're not using the Google Cloud service account you created for this quickstart, you can remove it.

  1. In the Google Cloud console, go to the IAM page.

    Go to IAM

  2. Select the checkbox for the IAM account named gke-quickstart-service-account.
  3. Click Remove and confirm the removal.

If you're not using the APIs that were enabled as part of this quickstart, you can disable them.

  • APIs that were enabled within this quickstart:
    • Compute Engine API
    • Cloud SQL Admin API
    • Google Kubernetes Engine API
    • Artifact Registry API
    • Cloud Build API
  1. In the Google Cloud console, go to the APIs page.

    Go to APIs

  2. Select any API that you would like to disable and then click the Disable API button.

What's next

Based on your needs, you can learn more about creating Cloud SQL instances.

You also can learn about creating MySQL users and databases for your Cloud SQL instance.

Also see the Cloud SQL pricing information.

Learn more about:

Additionally, you can learn about connecting to a Cloud SQL instance from other Google Cloud applications: