我需要一点SQL查询帮助。我想计算两个表中的条目数。我的第一个名为tracking_adspace_views的表从我制作的Adspace的每个视图中输入。在一天结束时,我想计算我上一天有多少参赛作品。第二个表tracking_clicks
计算特殊广告空间的点击次数。因此,并非每个被查看的广告空间都有点击次数。所以最后我想要像
我的表格看起来像这样
tracking_adspace_views
tracking_clicks
我的查询如下:
SELECT '2013-10-31',
views.tracking_adspace,
COUNT(views.tracking_adspace) AS tracking_adspace_views,
COUNT(clicks.tracking_adspace) AS tracking_adspace_clicks
FROM views
LEFT JOIN (
SELECT tracking_adspace,
COUNT(sub_c.tracking_adspace) AS tracking_adspace_clicks
FROM tracking_clicks as sub_c
GROUP BY sub_c.tracking_adspace
) AS clicks
ON clicks.tracking_adspace = views.tracking_adspace
WHERE views.tracking_time LIKE '2013-10-31%'
GROUP BY views.tracking_adspace
正确计算视图,点击次数为0的计数也是正确的。但如果点击列中有点击,我会从视图中获取值。谢谢你的帮助:)
此致
答案 0 :(得分:0)
您似乎正在计算将由连接重复的行中的值。
尝试这样的事情: -
SELECT '2013-10-31' AS TrackingDate,
views.tracking_adspace,
COUNT(views.tracking_adspace) AS tracking_adspace_views,
clicks.tracking_adspace_clicks
FROM views
LEFT JOIN
(
SELECT tracking_adspace,
DATE(tracking_time) AS TrackingDate,
COUNT(tracking_adspace) AS tracking_adspace_clicks
FROM tracking_clicks
GROUP BY tracking_adspace
) AS clicks
ON clicks.tracking_adspace = views.tracking_adspace
AND DATE(views.tracking_time) = clicks.TrackingDate
WHERE DATE(views.tracking_time) = '2013-10-31'
GROUP BY TrackingDate, views.tracking_adspace, clicks.tracking_adspace_clicks
答案 1 :(得分:0)
我希望你有一个名为tracking_adspaces
的第三个表,或者一个名为tracking_adspace
的主键。如果你这样做,你可以这样做:
select '2013-10-13' as TrackingDate,
A.tracking_adspace
V.views,
C.clicks
from tracking_adspaces A
left join (
select tracking_adspace, count(tracking_id) as views
from views
where DATE(tracking_time) = '2013-10-31'
group by tracking_adspace
) V on A.tracking_adspace = V.tracking_adspace
left join (
select tracking_adspace, count(tracking_id) as clicks
from tracking_clicks
where DATE(tracking_time) = '2013-10-31'
group by tracking_adspace
) C on A.tracking_adspace = C.tracking_adspace
如果没有,您可以使用
select '2013-10-13' as TrackingDate,
distinct(A.tracking_adspace)
V.views,
C.clicks
from views A
left join (
(etc)