I need to make a query on 2 tabl开发者_如何学编程es. First one has the following fields:
- id [pk ,int]
- dt [datetime]
Second table:
- sid [pk, int]
- sdt [datetime]
Now, the first table holds the start time of some action and the second table holds sub-actions that happen after the first action.
I need to get the average time from the start of the action to the end (that means to the last sid before the next id starts). To be clear - I need the average time from each 'id' field to last 'sid' field before the next 'id' happened (of course using the 'dt' and 'sdt' fields).
In SQL Server
:
WITH main AS
(
SELECT *,
ROW_NUMBER() OVER (ORDER BY dt) rn
FROM t1
)
SELECT AVG(DATEDIFF(d, tc.dt, i.sdt))
FROM main tc
LEFT JOIN
main tn
ON tn.rn = tc.rn + 1
OUTER APPLY
(
SELECT TOP 1 sdt
FROM t2 i
WHERE sdt >= tc.dt
AND sdt < COALESCE(tn.dt, (SELECT MAX(sdt FROM t2))
ORDER BY
i.sdt DESC
) sdt
This one may be more efficient if you have lots of records in t1
but few in t2
:
SELECT AVG(DATEDIFF(s, dt, msdt))
FROM (
SELECT MAX(sdt) AS msdt, id, dt
FROM t2 i
CROSS APPLY
(
SELECT TOP 1 *
FROM t1
WHERE dt <= sdt
ORDER BY
dt DESC
) t
GROUP BY
id
) q
My SQL is a little rusty, but I'm thinking the following is the right idea (at least logically, even if I have it slightly off syntactically).
select a.id as id, avg(a.time) as avg_time
from
(select s.sid as id, (s.sdt - f.dt) as time
from firstable as f, secondtable as s
where f.id = s.sid) as a
group by a.id
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