How to Display View Definitions in PostgreSQL
Robert Cooper
Robert Cooper Senior Engineer at Basedash
· January 31, 2025
Robert Cooper
Robert Cooper Senior Engineer at Basedash
· January 31, 2025
Retrieving and understanding the definition of database views in PostgreSQL is not only essential but can significantly enhance your database management and development strategies. Knowing how to display view definitions is crucial for debugging, migrations, or understanding the underlying business logic. This guide will equip you with the necessary commands to efficiently uncover the structure of your views.
Use the pg_get_viewdef() function in PostgreSQL to retrieve the definition of a specific view. This function requires either the OID (object identifier) or the name of the view. It returns the SQL statement that PostgreSQL used to create the view. Employ this function as shown below:
SELECT pg_get_viewdef('view_name', true);
In this code, replace view_name with your view’s name. The true parameter pretty-prints the SQL statement, enhancing readability. If you exclude this parameter or set it to false, PostgreSQL returns the SQL as a single line.
information_schemaAccess the definition of a view through the information_schema.views table, a method conforming to standard SQL practices. This approach allows you to view information about all views in the database. Execute the following command to retrieve the view definition:
SELECT table_name, view_definition
FROM information_schema.views
WHERE table_schema = 'public' AND table_name = 'view_name';
Here, substitute 'view_name' with the actual name of your view. This method is beneficial for filtering views by schema and accessing view metadata in a standardized format.
pg_viewsPostgreSQL offers a catalog view named pg_views, which presents all views in the database alongside their definitions. Query this view as follows:
SELECT viewname, definition
FROM pg_views
WHERE schemaname = 'public' AND viewname = 'view_name';
Replace 'view_name' with the name of the view you’re interested in. This approach, while similar to querying the information_schema, is tailored specifically to the PostgreSQL environment.
By mastering these methods, you empower yourself to swiftly and effectively explore the structure and rationale behind the views in your PostgreSQL database, leading to more informed database management and decision-making.
Written by
Senior Engineer at Basedash
Robert Cooper is a senior engineer at Basedash who builds full-stack product systems across SQL data infrastructure, APIs, and frontend architecture. His work focuses on application performance, developer velocity, and reliable self-hosted workflows that make data operations easier for teams at scale.
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