I want to Aggregate a column over timestamps.
Here an example:
Table contains columns like col1, col2, ..., col_ts (timestamp column).
SELECT
SUM(col1) OVER (ORDER BY col_ts ROWS BETWEEN 2 PRECEDING AND 2 FOLLOWING) SUM1,
SUM(col2) OVER (ORDER BY col_ts ROWS BETWEEN 2 PRECEDING AND 2 FOLLOWING) SUM2
FROM ...
Now i want only the 2 PRECEDING and the 2 FOLLOWING ROWS SUMMED when the difference between the timestamps are <= 5 minutes.
For example, lets look at these timestamp values:
14.09.15 15:44:00
14.09.15 15:50:00
14.09.15 15:51:00
14.09.15 15:52:00
14.09.15 15:53:00
When were are at the row with the timestamp value "14.09.15 15:51:00", i want the SUM OVER the values from 15:50 until 15:53, because the difference between 15:50 and 15:44 is bigger than 5 minutes.
Is there a way to write such a condition in the over clause?
Or is there anyone with a good and performant solution to this?
ok, i see the problem here. thanks florin. so what about some preprocessing? i could find a solution, but i am not sure if there is a faster solution:
select col_ts,
n,
SUM(n) OVER (ORDER BY col_ts ROWS BETWEEN LEFT_VALUE PRECEDING AND RIGHT_VALUE FOLLOWING) MY_SUM,
SUM(n) OVER (ORDER BY col_ts RANGE BETWEEN interval '5' second PRECEDING AND interval '5' second FOLLOWING) OLD_SUM
from (
select col_ts,
n,
CASE
WHEN (LEAD(col_ts,1) OVER (ORDER BY col_ts ) - col_ts) <= INTERVAL '5' second
THEN
CASE
WHEN (LEAD(col_ts,2) OVER (ORDER BY col_ts ) - LEAD(col_ts,1) OVER (ORDER BY col_ts )) <= INTERVAL '5' second
THEN 2
ELSE 1
END
ELSE 0
END AS RIGHT_VALUE,
CASE
WHEN (col_ts - LAG(col_ts,1) OVER (ORDER BY col_ts ) ) <= INTERVAL '5' second
THEN
CASE
WHEN (LAG(col_ts,1) OVER (ORDER BY col_ts ) - LAG(col_ts,2) OVER (ORDER BY col_ts )) <= INTERVAL '5' second
THEN 2
ELSE 1
END
ELSE 0
END AS LEFT_VALUE
from fg_test
);
Result:
COL_TS N MY_SUM OLD_SUM
--------------------------- ----- ------- -----------
15.09.15 09:34:24,069000000 1 6 6
15.09.15 09:34:28,000000000 2 10 15
15.09.15 09:34:29,000000000 3 15 15
15.09.15 09:34:30,000000000 4 14 14
15.09.15 09:34:31,000000000 5 12 14
15.09.15 09:34:37,000000000 6 6 6
what do you think?