In this PostgreSQL post explains how to use the EXCEPT operator in PostgreSQL with syntax and examples.
The PostgreSQL EXCEPT operator is used to return all rows in the first SELECT statement that are not returned by the second SELECT statement. Each SELECT statement will define a dataset. The EXCEPT operator will retrieve all records from the first dataset and then remove from the results all records from the second dataset.
Explanation: The EXCEPT query will return the records in the blue shaded area. These are the records that exist in Dataset1 and not in Dataset2.
Each SELECT statement within the EXCEPT query must have the same number of fields in the result sets with similar data types.
The syntax for the EXCEPT operator in PostgreSQL is:
The columns or calculations that you wish to compare between the two SELECT statements. They do not have to be the same fields in each of the SELECT statements, but the corresponding columns must be similar data types.
The tables that you wish to retrieve records from. There must be at least one table listed in the FROM clause.
Optional. The conditions that must be met for the records to be selected.
Let's look at an example of the EXCEPT operator in PostgreSQL that returns one field with the same data type.
For example:
This EXCEPT operator example returns all category_id values that are in the products table and not in the inventory table. What this means is that if a category_id value existed in the products table and also existed in the inventory table, the category_id value would not appear in the EXCEPT query results.
Next, let's look at an example of an EXCEPT query in PostgreSQL that returns more than one column.
For example:
In this EXCEPT example, the query will return the records in the contacts table with a contact_id, last_name, and first_name value that does not match the customer_id, last_name, and first_name value in the customers table.
Finally, let's look at how to use the ORDER BY clause in an EXCEPT query in PostgreSQL.
For example:
In this EXCEPT example, since the column names are different between the two SELECT statements, it is more advantageous to reference the columns in the ORDER BY clause by their position in the result set. In this example, we've sorted the results by supplier_name / company_name in ascending order, as denoted by the ORDER BY 2.
The supplier_name / company_name fields are in position #2 in the result set.