Demystifying IN vs. ANY : Mastering PostgreSQL Set Membership Operators


Understanding IN and ANY in PostgreSQL:

Both operators are used to check if a value belongs to a set of values, but they have distinct interpretations and use cases:


  • More straightforward syntax: column_name IN (value1, value2, ...)
  • Checks if the value in column_name exactly matches one of the values in the list.
  • Can also use subqueries (enclosed in parentheses) to specify the set.
  • Ideal for: Matching against a predetermined, limited set of values.


  • More versatile syntax: column_name = ANY (array_expression) or column_name <> ANY (array_expression)
  • Checks if the value in column_name matches any of the values in the array or subquery result.
  • Supports operators like <, >, LIKE, and even negation using NOT ANY.
  • Ideal for: Flexible matching against dynamic or larger sets of values, using subqueries for complex criteria.

Key Differences and Considerations:

Syntaxcolumn_name IN (value1, value2, ...)column_name = ANY (array_expression)
MatchingExactly one value in the setAny value in the array or subquery result
OperatorsOnly ==, <, >, <=, >=, LIKE, <>, NOT ANY
SubqueriesYes, within parenthesesYes, directly in the array expression
PerformanceGenerally faster for small, static setsLess efficient for large, dynamic sets
SecurityLess secure if values are directly embeddedMore secure if using prepared statements

Sample Code Examples:

-- IN operator examples
SELECT * FROM users WHERE id IN (1, 3, 5); -- Find users with specific IDs
SELECT * FROM products WHERE category IN ('Electronics', 'Books'); -- Find products in certain categories

-- ANY operator examples
SELECT * FROM orders WHERE product_id = ANY (ARRAY[123, 456, 789]); -- Find orders with any of these product IDs
SELECT * FROM articles WHERE title LIKE ANY (ARRAY['%science%', '%technology%']); -- Find articles containing "science" or "technology"
SELECT * FROM customers WHERE city NOT ANY (ARRAY['Los Angeles', 'New York']); -- Find customers not in these cities

-- Using subqueries (IN)
SELECT * FROM comments WHERE author_id IN (SELECT id FROM users WHERE active = TRUE); -- Find comments from active users

-- Using subqueries (ANY)
SELECT * FROM employees WHERE salary > ANY (SELECT AVG(salary) FROM employees GROUP BY department); -- Find employees earning above average in their department

Choosing the Right Operator:

When deciding between IN and ANY, consider these factors:

  • Matching exact values: Use IN for a fixed set of known values.
  • Dynamic or flexible matching: Use ANY for arrays, subqueries, or comparisons like LIKE.
  • Performance: For small static sets, IN might be faster, but ANY can be optimized with indexes.
  • Security: Use prepared statements with both operators to avoid SQL injection vulnerabilities.

By understanding these differences and choosing the appropriate operator based on your specific requirements, you can write more efficient and secure PostgreSQL queries.

sql postgresql sql-in

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