SPANNER_DATABASE_ID: Spanner 데이터베이스 ID입니다(일반적으로 tutorial-database).
다음을 클릭합니다.
배포를 클릭합니다.
상태 표시기에 함수가 성공적으로 배포된 것으로 표시될 때까지 기다립니다.
에이전트 테스트
이제 에이전트를 사용해 볼 수 있습니다.
Dialogflow 콘솔에서 에이전트 테스트 버튼을 클릭하여 시뮬레이터를 엽니다.
에이전트와 다음 대화를 시도해 봅니다.
대화 차례
나
상담사
1
안녕하세요.
ACME Bank를 이용해 주셔서 감사합니다.
2
계좌 잔액을 확인하고 싶습니다.
저축 예금 계좌와 당좌 계좌 중 어떤 계좌의 잔액을 확인하고 싶으신가요?
3
당좌예금
현재 잔액은 $10.00입니다.
코드를 살펴보면 $10가 하드코딩된 값이 아닌 것을 알 수 있습니다.
즉, 웹훅이 잔액 $10를 포함한 데이터베이스에 성공적으로 연결된 것입니다.
문제 해결
웹훅 코드에는 로깅 구문이 포함되어 있습니다.
문제가 있으면 Cloud 함수의 로그를 확인해 보세요.
함수가 데이터베이스에 연결되지 않고 로그에 권한 오류가 표시되면 함수에서 사용하는 기본 서비스 계정의 역할을 수정해야 할 수 있습니다.
이 서비스 계정의 형식은 PROJECT_ID@appspot.gserviceaccount.com입니다.
다음 방법 중 하나로 이를 수정할 수 있습니다.
기본 서비스 계정이 IAM 기본 페이지에 표시되면 서비스 계정의 권한을 변경합니다.
편집자 역할도 가능하지만 프로덕션 시나리오에서는 더 세분화된 역할이 필요할 수 있습니다.
[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-09-04(UTC)"],[[["\u003cp\u003eThis tutorial guides you through replacing hardcoded data in a webhook's \u003ccode\u003eaccountBalanceCheck\u003c/code\u003e function with a Spanner database.\u003c/p\u003e\n"],["\u003cp\u003eYou will learn how to create a Spanner instance and database, and populate it with account balance data in \u003ccode\u003eChecking\u003c/code\u003e and \u003ccode\u003eSavings\u003c/code\u003e tables.\u003c/p\u003e\n"],["\u003cp\u003eThe process includes enabling the Spanner API, setting up project configurations, defining the database schema with tables, and inserting data into those tables.\u003c/p\u003e\n"],["\u003cp\u003eThe final steps cover updating the Cloud Function's runtime environment variables to connect to the newly created database and deploying these changes.\u003c/p\u003e\n"],["\u003cp\u003eAfter deployment, the tutorial provides instructions to test your agent and details on troubleshooting connection or permission errors using the function's logs and the IAM page.\u003c/p\u003e\n"]]],[],null,["# Query a database\n\nYour webhook currently uses hardcoded data in the\n`accountBalanceCheck` function.\nIn this step of the tutorial,\nyou will create a\n[Spanner](/spanner/docs)\ndatabase, populate it with balance data,\nand update your function to query the database.\n\nProject configuration\n---------------------\n\nIt is important that your Dialogflow agent and the database\nare both in the same project.\nThis is the easiest way for your function to have\nsecure access to your database.\nAlso, you must enable the Spanner API.\n\n1. Before creating the database,\n select your project from the Google Cloud console.\n\n [Go to project selector](https://console.cloud.google.com/projectselector2/home/dashboard)\n2. Enable the Spanner API for the project.\n\n [Enable the Spanner API](https://console.cloud.google.com/flows/enableapi?apiid=spanner.googleapis.com)\n\nCreate a Spanner instance\n-------------------------\n\nWhen you first use Spanner,\nyou must create an instance,\nwhich is an allocation of resources\nthat are used by Spanner databases in that instance.\n\n1. In the Google Cloud console, go to the **Spanner Instances** page.\n\n [Go to Spanner instances](https://console.cloud.google.com/spanner/instances)\n2. Click **Create instance**.\n\n3. For the instance name, enter **Tutorial Instance**.\n\n4. The instance ID is automatically entered based on the instance name.\n\n5. In **Choose your configuration** ,\n retain the default option **Regional** and select the same region\n [location](/dialogflow/es/docs/how/region)\n that you chose when creating the function.\n\n6. In **Allocate compute capacity**,\n enter 100 processing units.\n This provides a minimal capacity for the tutorial.\n\n7. Click **Create** .\n The Google Cloud console displays the **Overview** page for the instance\n you created.\n\nCreate a Spanner database\n-------------------------\n\nNow that you have an instance,\nyou need to create a database.\nTo create a database:\n\n1. In the instance **Overview** page, click **Create database**.\n2. For the database name, enter **tutorial-database**.\n3. Select the **Google Standard SQL** database dialect.\n4. Click **Create** . The Google Cloud console displays the **Overview** page for the database you created.\n\nCreate tables for your database\n-------------------------------\n\nNow that you have a database,\nyou need to create tables for the database.\nTo create tables:\n\n1. In the Tables section of the database **Overview** page, click **Create table**.\n2. In the **Write DDL statements** page, enter:\n\n CREATE TABLE Checking (\n AccountId INT64,\n Balance INT64,\n ) PRIMARY KEY(AccountId);\n\n3. Click **Submit** .\n The Google Cloud console returns to the database **Overview** page and\n shows that **Schema updates** are underway.\n Wait until the update is complete.\n\n4. In the Tables section of the database **Overview** page,\n click **Create table**.\n\n5. In the **Write DDL statements** page, enter:\n\n CREATE TABLE Savings (\n AccountId INT64,\n Balance INT64,\n ) PRIMARY KEY(AccountId);\n\n6. Click **Submit** .\n The Google Cloud console returns to the database **Overview** page and\n shows that **Schema updates** are underway.\n Wait until the update is complete.\n\nInsert data into your tables\n----------------------------\n\nNow that your database has tables,\nyou need to add data to the tables.\nTo add data:\n\n1. In the list of tables on the database **Overview** page, click the Checking table. The Google Cloud console displays the table's **Schema** page.\n2. In the left navigation menu, click **Data** to display the table's **Data** page.\n3. Click **Insert** .\n The Google Cloud console displays the table's **Query** page with a\n new query tab that contains `INSERT` and `SELECT` statements.\n Overwrite those statements with the following:\n\n INSERT INTO Checking (AccountId, Balance)\n VALUES(1, 1000),\n (2, 2000);\n\n4. Click **Run**.\n\n5. In the left navigation menu,\n click **Data** again to display the table's data.\n Confirm that the table contains the desired data.\n\n6. Click the **tutorial-database: Overview** link\n to return to the database overview page.\n\n7. In the list of tables on the database **Overview** page,\n click the Savings table.\n The Google Cloud console displays the table's **Schema** page.\n\n8. In the left navigation menu,\n click **Data** to display the table's **Data** page.\n\n9. Click **Insert** .\n The Google Cloud console displays the table's **Query** page with a\n new query tab that contains `INSERT` and `SELECT` statements.\n Overwrite those statements with the following:\n\n INSERT INTO Savings (AccountId, Balance)\n VALUES(1, 10000),\n (2, 20000);\n\n10. Click **Run**.\n\n11. In the left navigation menu,\n click **Data** again to display the table's data.\n Confirm that the table contains the desired data.\n\nUpdate the Cloud Function to query the database\n-----------------------------------------------\n\nThe `accountBalanceCheck` function in the webhook code\nchecks whether specific environment variables are set\nwith information for connecting to the database.\nIf these environment variables are not set,\nthe function uses a hardcoded account balance.\n\nNow that you have a database set up,\nupdate your Cloud Function to set required environment variables:\n\n1. Open the Cloud Functions overview page.\n\n [Go to Cloud Functions overview](https://console.cloud.google.com/functions/list)\n2. Click the tutorial-banking-webhook function to go to its details page.\n\n3. Click **Edit**.\n\n4. Open the **Runtime, build and connections settings** section.\n\n5. Select the **Runtime** tab.\n\n6. Add the following variables in the Runtime environment variables section:\n\n - `PROJECT_ID`: your project ID\n - `SPANNER_INSTANCE_ID`: your Spanner instance ID (probably `tutorial-instance`)\n - `SPANNER_DATABASE_ID`: your spanner database ID (probably `tutorial-database`)\n7. Click **Next**.\n\n8. Click **Deploy**.\n\n9. Wait until the status indicator shows that the function\n has successfully deployed.\n\nTest your agent\n---------------\n\nYour agent is now ready to try.\nClick the **Test Agent** button from the Dialogflow console\nto open the simulator.\nAttempt to have the following conversation with the agent:\n\nIf you examine the code,\n$10 is not the hardcoded value.\nThis means that your webhook has successfully connected to the database,\nwhich does have a balance of $10.\n\nTroubleshooting\n---------------\n\nThe webhook code includes logging statements.\nIf you are having issues, try viewing the logs for your Cloud Function.\n\nIf your function is not connecting to the database,\nand you see a permission error in the logs,\nyou may need to fix the role for the default service account\nused by your function.\nThis service account is of the form\n\u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e`@appspot.gserviceaccount.com`.\nYou can fix this in one of the following ways:\n\n- If the default service account is shown on the IAM main page,\n [change permissions for the service account](/functions/docs/securing/function-identity#default).\n The *Editor* role will work,\n but you may want a more granular role in a production scenario.\n\n [Go to the IAM main page](https://console.cloud.google.com/iam-admin/iam)\n- If the a default service account is not shown on the IAM main page,\n [grant the required role](/iam/docs/grant-role-console#grant_an_iam_role)\n by adding the service account as a new principal.\n\n- Alternatively, you can\n [use a service account that you create](/functions/docs/securing/function-identity#individual).\n\nMore information\n----------------\n\nFor more information about the steps above, see:\n\n- [Using Cloud Spanner with Cloud Functions](/functions/docs/tutorials/use-cloud-spanner)\n- [Create and query a database by using the Google Cloud console](/spanner/docs/create-query-database-console)\n- [Google Standard SQL data definition language](/spanner/docs/reference/standard-sql/data-definition-language)\n- [Google Standard SQL data manipulation language](/spanner/docs/reference/standard-sql/dml-syntax)"]]
