我需要以有趣的方式加入2张桌子,请参阅下面的详细信息。表 var bookings = from b in db.Bookings
orderby b.PropertyId
where b.StartDate.Year == Year
group b by b.Property.Title into grp
select new { key = grp.Key, cnt = grp.Count() };
:
PROGRAMS
我还有第二张表STATION_INT | PROGRAM_NAME | AIR_DATE | START_TIME | END_TIME | SEQ_NUM
========================================================================
1 '70S SHOW ' 5/6/2015 32405000 32410000 1
1 '80S SHOW ' 5/6/2015 32415000 34300000 1
........................................................................
Ratings
结果表(STATION_INT | IMP_DATE | IMP_START_TIME | IMP_END_TIME | IMP_STATUS | HH | F2_5
==================================================================================
1 5/6/2015 32400000 34199000 S 1422 8464
1 5/6/2015 32400000 34199000 F 1677 9000
1 5/6/2015 34199000 34310000 S 1522 9160
...................................................................................
* PROGRAMS
)应该像:
RATINGS
我不知道如何在SQL中计算它...请告知
答案 0 :(得分:1)
您可以像这样使用CROSS APPLY
条件聚合。
<强>查询强>
SELECT *
FROM PROGRAMS as P
CROSS APPLY (
SELECT
AVG(CASE WHEN R.IMP_STATUS = 'F' THEN HH END) as AVG_F_HH,
AVG(CASE WHEN R.IMP_STATUS = 'F' THEN F2_5 END) as AVG_F_F2_5,
AVG(CASE WHEN R.IMP_STATUS = 'S' THEN HH END) as AVG_S_HH,
AVG(CASE WHEN R.IMP_STATUS = 'S' THEN F2_5 END) as AVG_S_F2_5
FROM Ratings as R
WHERE R.IMP_DATE = P.AIR_DATE AND R.STATION_INT = P.STATION_INT
AND NOT
(R.IMP_START_TIME >= P.END_TIME OR P.START_TIME >= R.IMP_END_TIME)
) as R
<强>输出强>
STATION_INT PROGRAM_NAME AIR_DATE START_TIME END_TIME SEQ_NUM AVG_F_HH AVG_F_F2_5 AVG_S_HH AVG_S_F2_5
1 70S SHOW May, 06 2015 00:00:00 32405000 32410000 1 1677 9000 1422 8464
1 80S SHOW May, 06 2015 00:00:00 32415000 34300000 2 1677 9000 1472 8812
答案 1 :(得分:1)
由于我仍然不能100%确定这个问题,我会尽力回答这个问题。
SELECT p.station_int, p.program_name, p.air_date, p.start_Time, p.end_time, p.seq_Num, AVG(r.hh)
FROM programs as p
INNER JOIN ratings as r
ON r.imp_date = p.imp_date
AND (r.imp_start_time >= p.start_time
AND r.imp_start_time <= p.end_time)
AND (r.imp_end_time <= p.end_time
AND r.imp_end_time >= p.start_time)
GROUP BY p.station_int, p.program_name, p.air_date, p.start_Time, p.end_time, p.seq_Num
也许这会做你想要的事情。