intermediate
LEAD Function
6 min readLast updated: 2026-07-23
Overview
LEAD() accesses data from a succeeding row at a given offset within a partition, without needing a SELF JOIN.
Learning Objectives
- Retrieve values from future rows using
LEAD(column, offset, default). - Calculate time gaps until the next event occurs.
- Conduct sessionization and next-event analysis.
Detailed Concept Explanation
LEAD() looks forward $N$ rows ahead of the current row within the window partition:
LEAD(column, offset, default_value)
Code Examples
SQL
sql
-- Calculate time elapsed until a user's NEXT click event
SELECT
user_id,
event_time AS current_click,
LEAD(event_time, 1) OVER (PARTITION BY user_id ORDER BY event_time) AS next_click,
DATEDIFF('minute', event_time, LEAD(event_time, 1) OVER (PARTITION BY user_id ORDER BY event_time)) AS mins_to_next_click
FROM user_events;
Best Practices
- Specify Partitioning: Always include
PARTITION BYwhen analyzing user-level events soLEAD()does not bleed into the next user's records.
Interview Perspective
Note
Interview Question: What is the difference between LAG and LEAD?
LAG() looks backwards to preceding rows, whereas LEAD() looks forwards to succeeding rows in the window partition.
Interactive Challenges
Summary
LEAD() looks ahead to future rows in a partition, useful for calculating time gaps until next events.