Hi
I am trying to deploy a java application (Spring boot maven) using cloud run. This application needs a connect to MySQL database which is created in google cloud SQL. I have a created a IAM and Admin service account and provides roles like Cloud SQL Admin, Cloud SQL Client, Cloud SQL Editor, Cloud SQL Instance User, Storage Object Creator. After creating the service account I have generated the key file as json and using it in my java application . I am able to connect to the MySQL instance when running from my local machine. But when I try to deploy it through cloud run I am facing errors when building google image from the application. I tried below command.
gcloud builds submit --tag gcr.io/udhyamvolunteer-image/udhyamvolunteer
The error I am facing is:
The error message you're encountering indicates a permissions issue related to accessing your Cloud SQL instance. The key message here is "Not authorized to access resource. Possibly missing permission cloudsql.instances.get on resource instances/testdb."
This suggests that the service account used during the build process in Google Cloud Build does not have sufficient permissions to access the Cloud SQL instance.
Here are some steps to troubleshoot and resolve this issue:
Verify the Service Account in Cloud Build:
gcloud config list
command shows the current configuration of the gcloud CLI, but remember that the account used by Cloud Build might differ from your local setup.Grant Required Permissions:
cloudsql.instances.get
permission and any other permissions required for your application.Check for Comprehensive Permissions:
cloudsql.instances.get
, ensure that all necessary permissions for interacting with Cloud SQL and other Google Cloud services are granted to the service account.Ensure Correct Environment Variables and Configuration:
Use Debugging Flags for Detailed Output:
gcloud builds submit
command with the --verbosity=debug
flag to get more detailed information about the build process and pinpoint the source of the error.Review Cloud Build Configuration File:
Verify Network Configuration:
Analyze Logs for Additional Insights:
Test Database Connection Separately:
Cloud SQL connection with cloud version 3.5.1 with spring boot app worked fine with Service Account. Started throwing the following exception after upgrading to cloud version 5.1.0.
Not sure if any additional parameters required for the new version, please advice.
java.sql.SQLException: Access denied for user '//mysql-test-user'@'cloudsqlproxy~[ip-address]' (using password: YES)
This often happens due to changes in how the new version handles database authentication. Here are some steps to resolve it:
1. Update Maven Dependencies:
spring-cloud-gcp-starter-sql-mysql
from your dependencies.<dependency>
<groupId>com.google.cloud</groupId>
<artifactId>spring-cloud-gcp-starter</artifactId>
<version>5.1.0</version>
</dependency>
<dependency>
<groupId>com.google.cloud.sql</groupId>
<artifactId>mysql-socket-factory-connector-j-8</artifactId>
<version>1.15.1</version>
</dependency>
2. IAM Authentication:
SERVICE_ACCOUNT_EMAIL@YOUR_PROJECT_ID.iam.gserviceaccount.com
and ensure it has the necessary privileges.3. Configure application.properties
:
spring.datasource.url=jdbc:mysql://google/${spring.cloud.gcp.sql.instance-connection-name}/${spring.cloud.gcp.sql.database-name}?useSSL=false
spring.datasource.username=SERVICE_ACCOUNT_EMAIL@YOUR_PROJECT_ID.iam.gserviceaccount.com
spring.cloud.gcp.sql.database-name=my_database_name
spring.cloud.gcp.sql.instance-connection-name=YOUR_PROJECT_ID:YOUR_REGION:YOUR_INSTANCE_NAME
(No password is needed with IAM authentication)
4. Permissions & Connectivity:
Cloud SQL Client
and Cloud SQL Editor
roles (if needed).For Local Testing:
Use the Cloud SQL Auth Proxy:
./cloud_sql_proxy -instances=YOUR_PROJECT_ID:YOUR_REGION:YOUR_INSTANCE_NAME=tcp:3306
Update application.properties
:
spring.datasource.url=jdbc:mysql://127.0.0.1:3306/my_database_name
Hi @ms4446
Is it possible to connect a spring boot application to MySQL database created on Google Cloud SQL using IAM Admin service account.
I need to deploy my java application to google cloud using cloud run.
1. I have created a MySQL instance in google cloud and created a database in it. Also added a user account to the database.
2. I have created IAM Admin service account and provide the ROLES Cloud SQL Admin, Cloud SQL Client, Cloud SQL Editor, Cloud SQL Instance User, Storage Object Creator.
3. I have generated the credentials.json file in google cloud and download the json file.
4. I have added the credentials.json file in the src/main/resource folder of spring boot application.
5. I have added the below properties in the application.properties
spring.cloud.gcp.sql.database-name= my database name
spring.cloud.gcp.sql.instance-connection-name=<Project ID>:<region>:<instance name>
spring.cloud.gcp.project-id=Project ID
spring.cloud.gcp.credentials.location=file://credentials.json
spring.sql.init.mode=always
server.error.include-message=always
6. I have added the below dependencies
The error message "Access denied for user 'root'@'cloudsqlproxy~my-ip"
could be due to several reasons, including incorrect credentials, the way the credentials are being used, or the configuration of your Spring Boot application. Let's go through some steps to troubleshoot and resolve this issue:
Correct Credentials: Ensure that the credentials provided in the credentials.json
file are correct. This file should contain the service account key for the IAM Admin service account you created.
Service Account Permissions: Double-check that the IAM Admin service account has the necessary roles (Cloud SQL Admin
, Cloud SQL Client
, Cloud SQL Editor
, Cloud SQL Instance User
, Storage Object Creator
) and that these roles are properly assigned.
Database User Authentication: The error mentions the user 'root'. Ensure that this user exists in your MySQL database and has the correct permissions. Also, verify that you are using the correct username and password in your application properties. If you're using Cloud SQL's IAM database authentication, ensure that it's configured correctly.
Use of credentials.json
: Storing credentials.json
in src/main/resources
is generally not recommended for security reasons, especially when deploying to production. Instead, consider using environment variables or secret management services to handle credentials. For local testing, ensure that the path to credentials.json
is correctly specified in spring.cloud.gcp.credentials.location
.
Database Connection Properties: Verify that the database connection properties in application.properties
are correct. The instance-connection-name
should be in the format <Project ID>:<region>:<instance name>
. Ensure that there are no typos or incorrect values.
Cloud SQL Proxy: If you are using the Cloud SQL Proxy for local testing, ensure that it is running and configured correctly. The proxy provides a secure connection to your Cloud SQL instance for testing on your local machine.
Dependency Versions: Check that the versions of the dependencies you're using are compatible with each other and with the version of Spring Boot you're using.
Spring Boot Configuration: Review your Spring Boot configuration for any misconfigurations. Ensure that the database URL, username, and password (if required) are correctly set.
Logs and Debugging: Enable detailed logging for your Spring Boot application to get more insights into the connection process and the exact point of failure.
Testing in a Different Environment: If possible, test the connection to the Cloud SQL instance from a different environment (e.g., another machine or a CI/CD pipeline) to rule out local environment issues.
The error "java.net.UnknownHostException: google" typically arises when your application is unable to resolve the hostname google
during database connection establishment. This suggests that the SocketFactory
responsible for creating the connection to Cloud SQL is not being properly initialized or recognized. Here are steps to debug and resolve the connections issues:
1. Database URL Configuration
Correct JDBC URL Format: It's important to use the correct JDBC URL format for Cloud SQL connections. The format provided as jdbc:mysql://google/...
can cause issues because "google" is not a valid hostname. Instead, use a URL formatted as follows, ensuring it explicitly specifies the cloud SQL instance and uses the correct socket factory if required by your setup:
spring.datasource.url=jdbc:mysql:///actual-database-name?cloudSqlInstance=actual-instance-connection-name&socketFactory=com.google.cloud.sql.mysql.SocketFactory&useSSL=false
This setup includes the socket factory explicitly. If Spring Cloud GCP 5.x documentation states that the socket factory is auto-configured, you can omit the socketFactory
parameter.
2. SocketFactory Dependency
Dependency Check: If the Spring Cloud GCP 5.x documentation confirms that the socket factory configuration is automatically managed, you do not need to include the mysql-socket-factory-connector-j-8
dependency. However, if auto-configuration is not mentioned, or if you encounter issues, including this dependency may still be necessary.
3. spring-cloud-gcp-starter Compatibility
Verify Version Compatibility: Ensure that the spring-cloud-gcp-starter
version you use is compatible with the Spring Cloud and Spring Boot versions in your project to avoid any conflicts.
4. IAM and Service Account Configuration
IAM Roles: Make sure the IAM service account associated with your application has the necessary roles, such as Cloud SQL Client
and Cloud SQL Editor
if database management is required.
IAM Authentication: Verify that IAM authentication is enabled and correctly configured for your Cloud SQL instance.
5. Local and Cloud Environment Configuration
Local Testing: If testing locally, consider using the Cloud SQL Auth Proxy to simplify the connection process.
Cloud Environment: For Cloud Run deployments, ensure you have correctly set up connectivity, such as through a Serverless VPC Access connector if using private IPs.
6. Troubleshooting and Logs
Dependency Conflicts: Check for any conflicts among the dependencies in your Maven project.
Log Analysis: Review the application logs carefully for any detailed error messages that can help diagnose the connection issues.