Yes, objects from different schemas can be joined together in a single query in Snowflake. Snowflake allows you to perform joins between tables, views, or other objects located in different schemas within the same database.
To join objects from different schemas, you need to provide the fully qualified names of the objects in your query. A fully qualified name includes both the schema name and the object name, separated by a dot. Here’s how you can perform joins between objects in different schemas:
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 representing tables located in different schemas. The query performs a join between the two tables based on a common column **`id`**.
When joining objects from different schemas, make sure you have the necessary privileges to access objects in all referenced schemas. Users need appropriate privileges on the objects they are joining and querying, regardless of the schema in which those objects are located.
Fully qualifying object names in your query ensures that Snowflake knows which objects you are referencing and where to find them, enabling you to seamlessly join data from different schemas in a single query.