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st uid decoded_token uid return func args kwargs return decorated_function java extract and verify id token from header private string authenticatejwt map string string headers string authheader headers get authorization null headers get authorization headers get authorization if authheader null string idtoken authheader split 1 if the provided id token has the correct format is not expired and is properly signed the method returns the decoded id token try firebasetoken decodedtoken firebaseauth getinstance verifyidtoken idtoken string uid decodedtoken getuid return uid catch firebaseauthexception e logger error error with authentication e tostring throw new responsestatusexception httpstatus forbidden e else logger error error no authorization header throw new responsestatusexception httpstatus unauthorized connect the server to cloud sql the server connects to the cloud sql instance unix domain socket using the format cloudsql cloud_sql_connection_name node js connect to the cloud sql instance through unix sockets param object credconfig the cloud sql connection configuration from secret manager returns object knex s postgresql client const connectwithunixsockets async credconfig const dbsocketpath process env db_socket_path cloudsql establish a connection to the database return knex client pg connection user credconfig db_user e g my user password credconfig db_password e g my user password database credconfig db_name e g my database host dbsocketpath credconfig cloud_sql_connection_name config python def init_unix_connection_engine db_config dict str int sqlalchemy engine base engine initializes a unix socket connection pool for a cloud sql instance of postgresql args db_config a dictionary with connection pool config returns a sqlalchemy engine instance creds credentials get_cred_config db_user creds db_user db_pass creds db_password db_name creds db_name db_socket_dir creds get db_socket_dir cloudsql cloud_sql_connection_name creds cloud_sql_connection_name pool sqlalchemy create_engine equivalent url postgres pg8000 db_user db_pass db_name unix_sock socket_path cloud_sql_instance_name s pgsql 5432 sqlalchemy engine url url create drivername postgresql pg8000 username db_user e g my database user password db_pass e g my database password database db_name e g my database name query unix_sock f db_socket_dir cloud_sql_connection_name s pgsql 5432 e g cloudsql project name instance region instance name db_config pool dialect description_encoding none logger info database engine initialized from unix connection return pool java use the spring cloud google cloud postgresql starter integration to interact with your postgresql databases in cloud sql using spring jdbc libraries set your cloud sql for mysql config to auto configure a datasource bean which coupled with spring jdbc provides a jdbctemplate object bean that allows for operations such as querying and modifying a database uncomment and add env vars for local development spring datasource username db_user spring datasource password db_password spring cloud gcp sql database name db_name spring cloud gcp sql instance connection name cloud_sql_connection_name private final jdbctemplate jdbctemplate public votecontroller jdbctemplate jdbctemplate this jdbctemplate jdbctemplate handle sensitive configuration with secret manager secret manager provides centralized and secure storage of sensitive data such as cloud sql configuration the server injects the cloud sql credentials from secret manager at runtime using an environment variable learn more about using secrets with cloud run node js cloud_sql_credentials_secret is the resource id of the secret passed in by environment variable format projects project_id secrets secret_id versions version const cloud_sql_credentials_secret process env if cloud_sql_credentials_secret try parse the secret that has been added as a json string to retrieve database credentials return json parse cloud_sql_credentials_secret tostring utf8 catch err throw error unable to parse secret from secret manager make sure that the secret is json formatted err python def get_cred_config dict str str retrieve cloud sql credentials stored in secret manager or default to environment variables returns a dictionary with cloud sql credential values secret os environ get cloud_sql_credentials_secret if secret return json loads secret java retrieve config from secret manager public static hashmap string object getconfig string secret system getenv cloud_sql_credentials_secret if secret null throw new illegalstateexception cloud_sql_credentials_secret is required try hashmap string object config new gson fromjson secret hashmap class return config catch jsonsyntaxexception e logger error unable to parse secret from secret manager make sure that it is json formatted e throw new runtimeexception unable to parse secret from secret manager make sure that it is json formatted set up identity platform identity platform requires manual setup in the google cloud console in the google cloud console enable the identity platform api enable the api configure your project in a new window go to the google auth platform overview page go to overview click get started and follow the project configuration setup in the app information dialog supply the application name select one of the displayed user support emails in the audience dialog select external in the contact information dialog enter a contact email agree to the user data policy then click create create and obtain your oauth client id and secret in the google cloud console go to the apis services credentials page go to credentials at the top of the page click create credentials and select oauth client id from application type select web application and supply the name click create the client_id and client_secret values will be used in the next step configure google as a provider in the google cloud console go to the identity providers page go to identity providers click add a provider select google from the list in the web sdk configuration settings enter the client_id and client_secret values from the previous step under configure your application click setup details copy the configuration to your application copy the apikey and authdomain values into the sample s static config js to initialize the identity platform client sdk note this configuration is not yet complete after you deploy your cloud run server you still need to authorize your service domain as described in finishing touches deploy the service follow the steps to complete infrastructure provisioning and deployment create a cloud sql instance with postgresql database using the console or cli gcloud sql instances create cloud_sql_instance_name database version postgres_16 region cloud_sql_region cpu 2 memory 7680mb root password db_password add your cloud sql credential values to postgres secrets json node js cloud_sql_connection_name project_id region instance db_name postgres db_user postgres db_password password_secret python cloud_sql_connection_name project_id region instance db_name postgres db_user postgres db_password password_secret java spring cloud gcp sql instance connection name project_id region instance spring cloud gcp sql database name postgres spring datasource username postgres spring datasource password password_secret create a versioned secret using the console or cli gcloud secrets create idp sql secrets replication policy automatic data file postgres secrets json create a service account for the server using the console or cli gcloud iam service accounts create idp sql identity grant roles for secret manager and cloud sql access using the console or cli allow the service account associated with the server to access the created secret gcloud secrets add iam policy binding idp sql secrets member serviceaccount idp sql identity project_id iam gserviceaccount com role roles secretmanager secretaccessor allow the service account associated with the server to access cloud sql gcloud projects add iam policy binding project_id member serviceaccount idp sql identity project_id iam gserviceaccount com role roles cloudsql client create an artifact registry gcloud artifacts repositories create repository repository format docker location region repository is the name of the repository for each repository location in a project repository names must be unique build the container image using cloud build node js gcloud builds submit tag region docker pkg dev project_id repository idp sql python gcloud builds submit tag region docker pkg dev project_id repository idp sql java this sample uses jib to build docker images using common java tools jib optimizes container builds without the need for a dockerfile or having docker installed learn more about building java containers with jib use the gcloud credential helper to authorize docker to push to your artifact registry gcloud auth configure docker use the jib maven plugin to build and push the container to artifact registry mvn compile jib build dimage region docker pkg dev project_id repository idp sql deploy the container image to cloud run using the console or cli note that the server is deployed to allow unauthenticated access this is so that the user can load the client and begin the process the server verifies the id token added to the vote request manually authenticating the end user gcloud run deploy idp sql image region docker pkg dev project_id repository idp sql allow unauthenticated service account idp sql identity project_id iam gserviceaccount com add cloudsql instances project_id region cloud_sql_instance_name update secrets cloud_sql_credentials_secret idp sql secrets latest also note the flags service account add cloudsql instances and update secrets which specify the service identity the cloud sql instance connection and the secret name with version as an environment variable respectively note environment variables are resolved at instance startup time so if you use this method google recommends that you pin the secret to a particular version rather than using latest finishing touches identity platform requires that you authorize the cloud run service url as an allowed redirect after it has signed in the user edit the google provider by clicking the pen icon in the identity providers page click add domain under authorized domains on the right panel and enter the cloud run service url you can locate the service url in the logs after the build or deployment or you can find it anytime using gcloud run services describe idp sql format value status url go to the apis services credentials page click the pencil icon beside your oauth client id to edit it and under the authorized redirect uris click the add uri button in the field copy and paste the following url and click the save button at the bottom of the page https project_id firebaseapp com __ auth handler try it out to try out the complete service navigate your browser to the url provided by the previous deployment step click the sign in with google button and go through the authentication flow add your vote it should look like this success you deployed a cloud run service that authenticates end users with identity platform and securely manages sensitive data using secret manager if you choose to continue developing these services remember that they have restricted identity and access management iam access to the rest of google cloud and will need to be given additional iam roles to access many other services clean up to avoid additional charges to your google cloud account delete all the resources you deployed with this tutorial delete the project if you created a new project for this tutorial delete the project if you used an existing project and need to keep it without the changes you added in this tutorial delete resources that you created for the tutorial the easiest way to eliminate billing is to delete the project that you created for the tutorial to delete the project caution deleting a project has the following effects everything in the project is deleted if you used an existing project for the tasks in this document when you delete it you also delete any other work you ve done in the project custom project ids are lost when you created this project you might have created a custom project id that you want to use in the future to preserve the urls that use the project id such as an appspot com url delete selected resources inside the project instead of deleting the whole project if you plan to explore multiple architectures tutorials or quickstarts reusing projects can help you avoid exceeding project quota limits in the google cloud console go to the manage resources page go to manage resources in the project list select the project that you want to delete and then click delete in the dialog type the project id and then click shut down to delete the project delete tutorial resources delete the cloud run service you deployed in this tutorial cloud run services don t incur costs until they receive requests to delete your cloud run service run the following command gcloud run services delete service name replace service name with the name of your service you can also delete cloud run services from the google cloud console remove the gcloud default region configuration you added during tutorial setup gcloud config unset run region remove the project configuration gcloud config unset project delete other google cloud resources created in this tutorial delete the service container image from artifact registry delete the service account vote identity project_id iam gserviceaccount com delete the cloud sql instance delete the secret in secret manager what s next dive deeper into connecting from cloud run to cloud sql learn more about sign in methods and managing users with identity platform review other ways to authenticate developers services and users of services deployed to cloud run explore other cloud run demos tutorials and samples send feedback except as otherwise noted the content of this page is licensed under the creative commons attribution 4 0 license and code samples are licensed under the apache 2 0 license for details see the google developers site policies java is a registered trademark of oracle and or its affiliates last updated 2026 07 15 utc need to tell us more easy to understand easytounderstand thumb up solved my problem solvedmyproblem thumb up other otherup thumb up hard to understand hardtounderstand thumb down incorrect information or sample code incorrectinformationorsamplecode thumb down missing the information samples i need missingtheinformationsamplesineed thumb down other otherdown thumb down last updated 2026 07 15 utc products and pricing see all products google cloud pricing google cloud marketplace contact sales support community forums support release notes system status resources github getting started with google cloud code samples cloud architecture center 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