1. Foundations of Window Functions
A window function is computed across a set of rows related to the current row without collapsing the result set, which is the key distinction from a GROUP BY aggregation. Its gener...
Read full chapter →The essential SQL Window Functions Cheatsheet cheat sheet: 6 concise chapters you can read in minutes, distilled from the full deck. When you're ready, drill the flashcards or test yourself under exam conditions.
A window function is computed across a set of rows related to the current row without collapsing the result set, which is the key distinction from a GROUP BY aggregation. Its gener...
Read full chapter →The ranking family includes ROW_NUMBER, RANK, DENSE_RANK, NTILE, PERCENT_RANK, and CUME_DIST. ROW_NUMBER assigns a unique sequential number to each row within a partition, making i...
Read full chapter →The value family — LAG, LEAD, FIRST_VALUE, LAST_VALUE, and NTH_VALUE — fetches values from other rows relative to the current one within the same partition. LAG(col, n, default) re...
Read full chapter →Standard aggregates — SUM, AVG, COUNT, MIN, MAX, and their statistical variants — become window functions when used with an OVER clause, returning one value per row without collaps...
Read full chapter →Window functions unlock a remarkable range of analytical patterns. Sessionization — splitting a user's event stream into sessions based on a 30-minute inactivity gap — is achieved...
Read full chapter →Performance hinges on a few guiding principles. Composite indexes on the partition and order columns let the engine avoid a Sort step — EXPLAIN plans in PostgreSQL show a WindowAgg...
Read full chapter →Done reading?
Test yourself with the SQL Window Functions Cheatsheet practice exam — timed questions, instant score, full review of wrong answers. Free.
🎯 Take the Practice Exam →