Conditional Lead/Lag Function in PostgreSQL
Your task is to generate a query that retrieves specific activity sequences for users from a given table. You want to determine the next activity from group B (that always occurs after a group A activity) for each user.
Problem Definition
Consider the following table:
Name | activity | time |
---|---|---|
user1 | A1 | 12:00 |
user1 | E3 | 12:01 |
user1 | A2 | 12:02 |
user2 | A1 | 10:05 |
user2 | A2 | 10:06 |
user2 | A3 | 10:07 |
user2 | M6 | 10:07 |
user2 | B1 | 10:08 |
user3 | A1 | 14:15 |
user3 | B2 | 14:20 |
user3 | D1 | 14:25 |
user3 | D2 | 14:30 |
The desired output for this table is:
Name | activity | next_activity |
---|---|---|
user1 | A2 | NULL |
user2 | A3 | B1 |
user3 | A1 | B2 |
Solution
You can solve this problem by leveraging the DISTINCT ON and CASE statements in conjunction with 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;
Explanation
Conditional Window Functions
While PostgreSQL does not support conditional window functions directly (e.g., lead(activity) FILTER (WHERE activity LIKE 'A%')), you can utilize the FILTER clause with aggregate functions and use them as window functions:
lead(activity) FILTER (WHERE activity LIKE 'A%') OVER () AS activity
However, this approach is inefficient and impractical for large datasets. Instead, the solution presented above is recommended for both small and large datasets.
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