[[["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 guide details the process of reading data from a PostgreSQL database within a Cloud Data Fusion instance.\u003c/p\u003e\n"],["\u003cp\u003eConnecting to a PostgreSQL database in Cloud Data Fusion requires specific IAM roles, including Dataproc Worker and Cloud Data Fusion Runner, and Cloud SQL Client if not using Cloud SQL Auth Proxy.\u003c/p\u003e\n"],["\u003cp\u003eUsers must store their PostgreSQL password as a secure key within Cloud Data Fusion for encrypted retrieval.\u003c/p\u003e\n"],["\u003cp\u003eConnecting to Cloud SQL for PostgreSQL involves uploading a properly formatted JAR file with the PostgreSQL driver, and filling out the connection information, including a connection string.\u003c/p\u003e\n"],["\u003cp\u003eThe connection string to the database needs to specify the database name and instance connection name, and enable the Cloud SQL Admin API.\u003c/p\u003e\n"]]],[],null,["# Read from a PostgreSQL database\n\nThis page describes how you read data from a PostgreSQL database in a\nCloud Data Fusion instance.\n\nBefore you begin\n----------------\n\n- [Create a Cloud Data Fusion instance](/data-fusion/docs/how-to/create-private-ip).\n- Enable your PostgreSQL database to accept connections from Cloud Data Fusion. To do this securely, we recommend that you use a private Cloud Data Fusion instance.\n\n### Required roles\n\n\nTo get the permissions that\nyou need to connect to a PostgreSQL database,\n\nask your administrator to grant you the\nfollowing IAM roles:\n\n- [Dataproc Worker](/iam/docs/roles-permissions/dataproc#dataproc.worker) (`roles/dataproc.worker`) on the Dataproc service account in the project that contains the cluster\n- [Cloud Data Fusion Runner](/iam/docs/roles-permissions/datafusion#datafusion.runner) (`roles/datafusion.runner`) on the Dataproc service account in the project that contains the cluster\n- To use Cloud SQL without the Cloud SQL Auth Proxy: [Cloud SQL Client](/iam/docs/roles-permissions/cloudsql#cloudsql.client) (`roles/cloudsql.client`) on the project that contains the Cloud SQL instance\n\n\nFor more information about granting roles, see [Manage access to projects, folders, and organizations](/iam/docs/granting-changing-revoking-access).\n\n\nYou might also be able to get\nthe required permissions through [custom\nroles](/iam/docs/creating-custom-roles) or other [predefined\nroles](/iam/docs/roles-overview#predefined).\n\nOpen your instance in Cloud Data Fusion\n---------------------------------------\n\n1. In the Google Cloud console, go to the Cloud Data Fusion page.\n\n2. To open the instance in the Cloud Data Fusion Studio,\n click **Instances** , and then click **View instance**.\n\n [Go to Instances](https://console.cloud.google.com/data-fusion/locations/-/instances)\n\nStore your PostgreSQL password as a secure key\n----------------------------------------------\n\nEnter your PostgreSQL password as a secure key to encrypt in your\nCloud Data Fusion instance. For more information about keys, see\n[Cloud KMS](/kms/docs).\n\n1. In the Cloud Data Fusion UI, click **System admin \\\u003e\n Configuration**.\n\n2. Click **Make HTTP Calls**.\n\n \u003cbr /\u003e\n\n3. In the dropdown menu, choose **PUT**.\n\n4. In the path field, enter `namespaces/default/securekeys/pg_password`.\n\n5. In the **Body** field, enter `{\"data\":\"`\u003cvar translate=\"no\"\u003ePOSTGRESQL_PASSWORD\u003c/var\u003e`\"}`.\n Replace \u003cvar translate=\"no\"\u003ePOSTGRESQL_PASSWORD\u003c/var\u003e with your PostgreSQL\n password.\n\n6. Click **Send**.\n\nThe **Response** field notifies you of any errors.\n\nConnect to Cloud SQL for PostgreSQL\n-----------------------------------\n\n1. In the Cloud Data Fusion UI, click the menu *menu*\n and navigate to the **Wrangler** page.\n\n2. Click **Add connection**.\n\n3. Choose **Database** as the source type to connect.\n\n \u003cbr /\u003e\n\n4. Under **Google Cloud SQL for PostgreSQL** , click **Upload**.\n\n \u003cbr /\u003e\n\n5. Upload a JAR file that contains your PostgreSQL driver. Your JAR file must\n follow the format \u003cvar translate=\"no\"\u003eNAME\u003c/var\u003e`-`\u003cvar translate=\"no\"\u003eVERSION\u003c/var\u003e`.jar`. If\n your JAR file doesn't follow this format, rename it before you upload.\n\n6. Click **Next**.\n\n7. Enter the driver's name, class name, and version in the fields.\n\n8. Click **Finish**.\n\n9. In the **Add connection** window that opens, click **Google Cloud SQL for\n PostgreSQL** . Your JAR name should appear under **Google Cloud SQL for\n PostgreSQL**.\n\n \u003cbr /\u003e\n\n10. Fill in the required connection fields. In the **Password** field, select the\n [secure key you stored previously](#store_your_postgresql_password_as_a_secure_key).\n This ensures that your password is retrieved using [Cloud KMS](/kms/docs).\n\n \u003cbr /\u003e\n\n11. In the **Connection string** field, enter your connection string as:\n\n ```\n jdbc:postgresql://google/DATABASE_NAME?cloudSqlInstance=INSTANCE_CONNECTION_NAME&socketFactory=com.google.cloud.sql.postgres.SocketFactory&useSSL=false\n ```\n\n \u003cbr /\u003e\n\n Replace the following:\n - \u003cvar translate=\"no\"\u003eDATABASE_NAME\u003c/var\u003e: the Cloud SQL database name as listed in the **Databases** tab of the instance details page.\n - \u003cvar translate=\"no\"\u003eINSTANCE_CONNECTION_NAME\u003c/var\u003e: the Cloud SQL instance connection name as displayed in the **Overview** tab of the instance details page.\n\n For example: \n\n ```\n jdbc:postgresql://google/postgres?cloudSqlInstance=dis-demo:us-central1:pgsql-1&socketFactory=com.google.cloud.sql.postgres.SocketFactory&useSSL=false\n ```\n\n \u003cbr /\u003e\n\n12. Enable the Cloud SQL Admin API.\n\n13. Click **Test connection** to ensure that the connection can be\n established with the database.\n\n14. Click **Add connection**.\n\nAfter your PostgreSQL database is connected, you can apply transformations to\nyour data (in **Wrangler** ), create a [pipeline](/data-fusion/docs/concepts/overview#pipeline),\nand write your output to a sink (in **Studio**)."]]
