user_id | date | distance
1 | 2019-04-09 00:00:00 | 2
1 | 2019-04-09 00:00:30 | 5
1 | 2019-04-09 00:01:00 | 3
1 | 2019-04-
As variant you can use RECURSIVE CTE to get it
Test table:
CREATE TABLE public.table_b (
user_id int4 NULL,
"date" timestamp NULL,
distance int4 NULL
);
INSERT INTO public.table_b (user_id,"date",distance) VALUES
(1,'2019-04-09 00:00:00.000',2)
,(1,'2019-04-09 00:00:30.000',5)
,(1,'2019-04-09 00:01:00.000',3)
,(1,'2019-04-09 00:01:45.000',7)
,(1,'2019-04-09 00:02:30.000',6)
,(1,'2019-04-09 00:03:00.000',1)
,(2,'2019-04-09 00:00:00.000',2)
,(2,'2019-04-09 00:00:30.000',5)
,(2,'2019-04-09 00:01:00.000',3)
,(2,'2019-04-09 00:01:45.000',7)
,(2,'2019-04-09 00:02:30.000',6)
,(2,'2019-04-09 00:03:00.000',1);
Query:
WITH RECURSIVE cte1 AS(
SELECT *,ROW_NUMBER()OVER(PARTITION BY user_id ORDER BY date) n
FROM table_b
),
cte2 AS(
SELECT user_id,date,distance,distance running_distance,n
FROM cte1
WHERE n=1
UNION ALL
SELECT c1.user_id,c1.date,c1.distance,CASE WHEN c2.running_distance<10 THEN c2.running_distance ELSE 0 END+c1.distance running_distance,c1.n
FROM cte1 c1
JOIN cte2 c2 ON c2.user_id=c1.user_id AND c2.n+1=c1.n
)
SELECT user_id,date,distance,running_distance
FROM cte2
ORDER BY user_id,date