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Version: 1.0 prerelease

Connect GX Cloud to PostgreSQL

To validate data stored in a PostgreSQL database from GX Cloud, you must add the GX Agent to your deployment environment. The GX Agent acts as an intermediary between GX Cloud and PostgreSQL and allows you to securely access and validate your data in GX Cloud.


Connect to a PostgreSQL Data Asset

  1. In GX Cloud, click Data Assets > New Data Asset > PostgreSQL.

  2. Copy the code in the code pane.

  3. Prepare your PostgreSQL environment:

    • In pgAdmin, select a database.

    • Click Tools > Query Tool.

    • Paste the code you copied in step 2 into the Query pane to create and assign the gx_role role and allow GX Cloud to access to all public schemas and tables on a specific database.

      Replace <your_password> and <your_database> with your own values. ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT ON TABLES TO gx_role; is optional and gives the gx_role user access to all future tables in the defined schema.

    • Click Execute/Refresh.

  4. In GX Cloud, click I have created a GX Cloud user with valid permissions and then click Continue.

  5. Enter a meaningful name for the Data Source in the Data Source name field.

  6. Enter a connection string in the Connection string field. The connection string format is postgresql+psycopg2://YourUserName:YourPassword@YourHostname:5432/YourDatabaseName.

  7. Click Connect.

  8. Complete the following fields:

    • Table name: Enter the name of the Data Source table you're connecting to.

    • Data Asset name: Enter a name for the Data Asset. Data Asset names must be unique across all Data Sources in GX Cloud.

  9. Select the Complete Asset tab to provide all Data Asset records to your Expectations and validations, or select the Batches tab to use subsets of Data Asset records for your Expectations and validations. If you selected the Batches tab, complete the following fields:

    • Split Data Asset by - Select Year to partition Data Asset records by year, select Year - Month to partition Data Asset records by year and month, or select Year - Month - Day to partition Data Asset records by year, month, and day.

    • Column of datetime type - Enter the name of the column containing the date and time data.

  10. Optional. Select Add Data Asset to add additional tables or queries and repeat steps 8 and 9.

  11. Click Finish.

  12. Create an Expectation. See Create an Expectation.