Yes, a Snowflake view can reference objects from multiple schemas. Snowflake supports cross-schema references, which means you can create a view that pulls data from tables, views, or other objects located in different schemas within the same database.
To reference objects from multiple schemas in a Snowflake view, you need to provide the fully qualified object names. A fully qualified name includes both the schema name and the object name, separated by a dot. Here’s how you can create a view that references objects from different schemas:
CREATE VIEW MyCrossSchemaView AS
schema1.table1.column AS column1,
schema2.table2.column AS column2
schema1.table1.id = schema2.table2.id;
In this example, **`schema1.table1`** and **`schema2.table2`** are fully qualified object names that specify tables located in different schemas. The view **`MyCrossSchemaView`** pulls data from both tables and performs a join across schemas.
Make sure you have the necessary privileges to access objects in the referenced schemas. Users need appropriate privileges on the objects they are referencing, regardless of the schema in which those objects are located.
By leveraging cross-schema references, you can build views that provide a unified and consolidated view of data spread across different schemas within the same Snowflake database.