SQL IF ELSE lets you run different statements based on whether a condition is true or false, enabling dynamic, branch-based data operations.
SQL IF ELSE is procedural control flow that executes one block when a Boolean condition is true and another when false. Standard SQL uses CASE inside a query, while vendors like T-SQL and PL/pgSQL add standalone IF ELSE for stored procedures and scripts.
Use IF ELSE in procedural code—stored procedures, functions, or anonymous scripts—where you need to run multiple statements, variable assignments, or DDL. Use CASE inside a single SELECT to conditionally compute values without controlling statement flow.
The minimal pattern: IF <condition> BEGIN ... END ELSE BEGIN ... END
. The condition is any expression that returns TRUE or FALSE. Blocks can contain any valid T-SQL, including SELECT, UPDATE, variable logic, or nested IFs.DECLARE @sales INT = 12000;
IF @sales >= 10000
BEGIN
UPDATE bonuses SET level = 'gold' WHERE rep_id = 7;
END
ELSE
BEGIN
UPDATE bonuses SET level = 'silver' WHERE rep_id = 7;
END;
Yes. Combine IF ELSE IF (or ELSEIF/ELSIF) to create multi-branch trees. Keep nesting shallow—three levels max—to preserve readability. Complex branching is better expressed as CASE in queries or as lookup tables.
PL/pgSQL uses IF condition THEN ... ELSIF ... ELSE ... END IF;
inside LANGUAGE plpgsql
blocks. Each branch ends with a semicolon, and the entire structure ends with END IF;
.CREATE OR REPLACE FUNCTION award_bonus(p_sales NUMERIC) RETURNS TEXT AS $$
DECLARE bonus TEXT;
BEGIN
IF p_sales >= 10000 THEN
bonus := 'gold';
ELSIF p_sales >= 5000 THEN
bonus := 'silver';
ELSE
bonus := 'bronze';
END IF;
RETURN bonus;
END;
$$ LANGUAGE plpgsql;
Common scenarios: applying tiered discounts, toggling feature flags, logging only on errors, early-exit validation in ETL, or choosing between INSERT and UPDATE in upsert logic.
Place filtering conditions in SET-based queries first to minimize row counts. Keep blocks small and purpose-focused. Prefer CASE for column-level decisions. Document intent with comments, and include an ELSE branch to handle unexpected states.
Galaxy’s AI copilot autocompletes IF ELSE scaffolds, suggests variable names, and warns when a condition lacks ELSE coverage. Inline linting surfaces unreachable code, and Collections let teams endorse approved branching patterns.
Conditional logic lets data engineers build dynamic ETL, enforce business rules, and avoid multiple client round-trips. IF ELSE executes set-based operations in-database, reducing latency and server load. Proper branching simplifies error handling, enables tiered calculations, and keeps transformation logic close to the data, which is critical for maintainable, high-performance pipelines.
Flow-control IF ELSE isn’t in core SQL. Vendors add it in procedural languages, while CASE is the portable, query-level alternative.
The branching itself is cheap. Bottlenecks come from row-by-row loops or poorly indexed predicates inside the blocks.
Use temporary logging tables or RAISERROR/NOTICE statements. Galaxy highlights inactive branches during live runs, making debugging faster.
Galaxy’s AI copilot generates IF ELSE templates, autocompletes keywords, and flags missing ELSE clauses in real time.