The OR operator in SQL allows you to combine multiple conditions in a WHERE clause. If any of the conditions are true, the entire condition is considered true. This is crucial for retrieving data that meets at least one of several criteria.
The OR operator in SQL is a logical operator used to combine multiple conditions in a WHERE clause. When used, the query returns all rows where *at least one* of the specified conditions evaluates to TRUE. This contrasts with the AND operator, which requires *all* conditions to be TRUE. Understanding the OR operator is fundamental to filtering data based on multiple criteria. For example, you might want to retrieve all customers who live in either California or New York. The OR operator makes this possible. It's important to note that the OR operator is case-insensitive in most SQL dialects. The parentheses around conditions are crucial for ensuring the correct order of operations. Incorrect use of parentheses can lead to unexpected results.
The OR operator is essential for creating flexible queries that can retrieve data based on various criteria. It enables you to filter data based on multiple possibilities, making it a powerful tool for data analysis and retrieval.
The OR operator returns a row if any of the listed conditions evaluate to TRUE, whereas the AND operator requires all conditions to be TRUE. For example, WHERE state = 'CA' OR state = 'NY'
grabs customers from either state, while swapping OR for AND would return zero rows because a single customer can’t be in two states at once.
SQL evaluates AND before OR, so parentheses let you control execution order and avoid surprises. Writing WHERE city = 'LA' OR city = 'SF' AND state = 'CA'
will first apply the AND, meaning only San Francisco customers in California plus all Los Angeles customers worldwide. Adding parentheses—WHERE (city = 'LA' OR city = 'SF') AND state = 'CA'
—ensures both cities are filtered inside California.
Yes. Galaxy’s context-aware AI copilot auto-completes syntax, suggests correct parentheses placement, and highlights logical pitfalls when you mix OR and AND. This lets engineers write and validate complex filtering logic faster, all inside a modern desktop SQL editor instead of switching between docs and chat threads.