The SQL CASE statement adds IF-THEN-ELSE logic to a query, returning different values based on one or more conditions.
The SQL CASE statement brings IF-THEN-ELSE logic into your SELECT, WHERE, ORDER BY, and HAVING clauses without writing multiple queries.
CASE is a conditional expression that evaluates conditions in order and returns the first matching result; if no condition matches, it returns an optional ELSE value or NULL.
CASE lets you embed branching logic inside one query, reducing round-trips, avoiding temporary tables, and making reports easier to maintain.
SQL supports two forms: Simple CASE compares one expression to many values; Searched CASE evaluates independent Boolean predicates.
CASE expression
WHEN value1 THEN result1
WHEN value2 THEN result2
ELSE default_result
END
CASE
WHEN condition1 THEN result1
WHEN condition2 THEN result2
ELSE default_result
END
Place CASE anywhere an expression is allowed: derive labeled columns, filter rows, or sort results dynamically, all inside one statement.
Transform numerical ages into age groups on the fly, ideal for dashboards and rollups.SELECT
age,
CASE
WHEN age < 13 THEN 'child'
WHEN age < 20 THEN 'teen'
WHEN age < 65 THEN 'adult'
ELSE 'senior'
END AS age_group
FROM users;
Sum only the rows that meet a condition without writing separate queries.SELECT
SUM(CASE WHEN status = 'paid' THEN amount END) AS revenue,
SUM(CASE WHEN status = 'unpaid' THEN amount END) AS outstanding
FROM invoices;
Galaxy’s AI copilot autocompletes CASE syntax, highlights matching WHEN/END pairs, and offers refactoring suggestions when your data model changes.
Keep WHEN predicates mutually exclusive, cast return values to the same data type, and document complex logic with inline comments.
Don’t forget the ELSE branch; mismatched data types and overlapping conditions cause NULLs and logic errors.
Remember: CASE returns the first true WHEN, ELSE is optional, END is required, and every result must share a compatible type.
Conditional logic is essential in analytics queries, ETL pipelines, and reporting. A CASE statement lets data engineers embed branching logic directly in SQL, trimming code duplication and improving performance. It enables dynamic grouping, conditional aggregation, and flexible sorting without procedural code, keeping logic close to the data for easier maintenance.
Yes. ANSI-SQL defines CASE, and major engines—PostgreSQL, MySQL, SQL Server, Snowflake, BigQuery—support it with identical syntax.
Absolutely. You can place one CASE inside another WHEN or ELSE branch, but readability suffers; comment generously.
Galaxy’s editor folds CASE blocks, auto-indents WHEN lines, and the AI copilot suggests conditions based on table metadata, speeding up authoring.
For small rule sets, CASE is faster and simpler. For large or frequently changing rules, a lookup table with a JOIN scales better.