This page is a quick reference checkpoint for LAG in Spark SQL: behavior, syntax rules, edge cases, and a minimal example; plus the official vendor documentation.
LAG lets you look back at a previous row's value within the same partition.
Returns the value from a preceding row based on window ordering; if that row does not exist, returns NULL unless a default is provided.
If this behavior feels unintuitive, the tutorial below explains the underlying pattern step-by-step.
`LAG(expr, offset, default)is documented with optional parameters and requires anOVER` clause.
SELECT id, value, LAG(value, 1) OVER (ORDER BY id) AS prev_value FROM table;
If you came here to confirm syntax, you’re done. If you came here to get better at window functions, choose your next step.
LAG is part of a bigger window-function pattern. If you want the “why”, start here: Lead Lag
Reading docs is useful. Writing the query correctly under pressure is the skill.
For the authoritative spec, use the vendor docs. This page is the fast “sanity check”.
View Spark SQL Documentation →Looking for more functions across all SQL dialects? Visit the full SQL Dialects & Window Functions Documentation.