The PostgreSQL UNION operator is a powerful tool that allows you to combine the result sets of two or more SELECT queries into a single result set. This can be particularly useful when you need to retrieve data from multiple tables with similar structures, or when you want to consolidate information from various sources. In this comprehensive guide, we will delve deep into the PostgreSQL UNION operator, discussing its syntax, usage, and best practices.

Understanding the UNION Operator Syntax

To utilize the PostgreSQL UNION operator effectively, it’s essential to grasp its syntax. The basic structure is as follows:

				
					SELECT column1, column2, ...
FROM table1
UNION
SELECT column1, column2, ...
FROM table2;

				
			

The UNION operator takes the results from both SELECT queries and combines them into one result set. It’s crucial to note that the number of columns and their respective data types must match between the two queries. Additionally, the UNION operator automatically removes duplicate rows from the combined result set.

Utilizing the UNION ALL Operator

In some cases, you may want to retain duplicate rows in the final result set. To achieve this, use the UNION ALL operator instead:

				
					SELECT column1, column2, ...
FROM table1
UNION ALL
SELECT column1, column2, ...
FROM table2;

				
			

The UNION ALL operator functions similarly to the UNION operator but retains duplicate rows in the combined result set.

Ordering the Combined Result Set

When using the PostgreSQL UNION operator, you can also sort the combined result set using the ORDER BY clause. To do this, simply add the ORDER BY clause at the end of the entire query:

				
					SELECT column1, column2, ...
FROM table1
UNION
SELECT column1, column2, ...
FROM table2
ORDER BY column1, column2, ...;

				
			

Remember that the column names in the ORDER BY clause must match the ones specified in the SELECT queries.

Filtering Data with the WHERE Clause

To further refine the data in your combined result set, you can use the WHERE clause within each SELECT query:

				
					SELECT column1, column2, ...
FROM table1
WHERE condition
UNION
SELECT column1, column2, ...
FROM table2
WHERE condition;

				
			

This allows you to filter data based on specific conditions in each of the SELECT queries before combining the result sets.

Advanced UNION Techniques

In addition to the basic UNION operator, PostgreSQL also supports advanced techniques that enhance its functionality. Here are two noteworthy examples:

  •  UNION with Subqueries: You can use subqueries within the SELECT queries to further manipulate the data before combining the result sets:
				
					SELECT column1, column2, ...
FROM (SELECT * FROM table1 WHERE condition) AS subquery1
UNION
SELECT column1, column2, ...
FROM (SELECT * FROM table2 WHERE condition) AS subquery2;

				
			
  • UNION and JOIN: You can also use the UNION operator in conjunction with JOIN clauses to extract and combine data from multiple related tables:
				
					SELECT column1, column2, ...
FROM table1
JOIN table3 ON table1.column1 = table3.column1
UNION
SELECT column1, column2, ...
FROM table2
JOIN table3 ON table2.column1 = table3.column1;

				
			

Best Practices for Using the PostgreSQL UNION Operator

  1. Ensure that the SELECT queries have matching columns and data types to avoid errors.
  2. Use the UNION ALL operator when you want to retain duplicate rows in the combined result set.
  3. Leverage the WHERE clause to filter data before combining result sets, improving query performance.
  4. Utilize the ORDER BY clause to sort the combined result set based on specific columns.
  5. Consider using advanced techniques, such as subqueries and JOIN clauses, to further enhance the functionality of the UNION operator.

PostgreSQL UNION Operator: Real-World Examples

To better illustrate the practical applications of the PostgreSQL UNION operator, let’s explore some real-world examples.

Example 1: Combining Sales Data from Multiple Regions

Suppose you have two tables, sales_europe and sales_asia, which contain sales data from European and Asian regions, respectively. You want to create a report that displays the combined sales data from both regions. You can use the UNION operator to achieve this:

				
					SELECT region, product, quantity
FROM sales_europe
UNION
SELECT region, product, quantity
FROM sales_asia
ORDER BY region, product;

				
			

Example 2: Merging Customer and Supplier Contact Information

You have two separate tables, customers and suppliers, that store contact information for customers and suppliers, respectively. To create a single mailing list, you can use the UNION operator:

				
					SELECT name, email, 'Customer' as contact_type
FROM customers
UNION
SELECT name, email, 'Supplier' as contact_type
FROM suppliers
ORDER BY name;

				
			

This query retrieves the names and email addresses of customers and suppliers, while also labeling each contact as either ‘Customer’ or ‘Supplier.’

Wrap up

The PostgreSQL UNION operator is a versatile tool for combining the result sets of multiple SELECT queries. By mastering its syntax, usage, and best practices, you can effectively merge data from various sources, streamline reporting, and optimize your database operations.

Check how to install PostgreSQL: https://softwareto.tech/how-install-postgresql-on-windows/


Thanks for reading. Happy coding!