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 BY when analyzing user-level events so LEAD() 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

Challenge 1: Fetch Next Event Time

Select 'event_time' and LEAD(event_time, 1) OVER (ORDER BY event_time) AS next_event from 'events'.


Summary

LEAD() looks ahead to future rows in a partition, useful for calculating time gaps until next events.