Conditional Lead/Lag Functions in PostgreSQL
You're trying to identify the next activity performed by users belonging to group B, after they've completed an activity from group A. Essentially, you need to locate the first subsequent activity from group B for each user.
One approach is to utilize conditional window functions. However, in PostgreSQL, FILTER clauses can only be applied to aggregate functions within window functions, not to core window functions like lead() or lag().
Therefore, a viable solution is to employ a DISTINCT ON construct alongside CASE and window functions:
SELECT name , CASE WHEN a2 LIKE 'B%' THEN a1 ELSE a2 END AS activity , CASE WHEN a2 LIKE 'B%' THEN a2 END AS next_activity FROM ( SELECT DISTINCT ON (name) name , lead(activity) OVER (PARTITION BY name ORDER BY time DESC) AS a1 , activity AS a2 FROM t WHERE (activity LIKE 'A%' OR activity LIKE 'B%') ORDER BY name, time DESC ) sub;
This query uses a subquery to:
Alternatively, for small datasets with a limited number of rows per user, the following query can be used:
SELECT name , activity AS a1 , lead(activity) OVER (PARTITION BY name ORDER BY time DESC) AS next_activity FROM t WHERE (activity LIKE 'A%' OR activity LIKE 'B%') ORDER BY name, time DESC;
This query simplifies the logic by directly searching for group A activities and retrieving the subsequent activity, regardless of its group affiliation.
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