我有两张桌子
mysql> select * from report;
+----+----------+------------+------------------+-------------+
| id | campaign | advertiser | impression_count | click_count |
+----+----------+------------+------------------+-------------+
| 1 | camp1 | adv1 | 20 | 6 |
| 2 | camp2 | adv2 | 10 | 2 |
| 3 | camp1 | adv1 | 15 | 3 |
| 4 | camp2 | adv2 | 6 | 1 |
+----+----------+------------+------------------+-------------+
4 rows in set (0.00 sec)
mysql> select * from device;
+-----------+-----------+
| report_id | device_id |
+-----------+-----------+
| 1 | d1 |
| 1 | d2 |
| 2 | d1 |
| 2 | d3 |
| 2 | d4 |
| 3 | d2 |
| 3 | d4 |
| 4 | d3 |
| 4 | d4 |
| 4 | d5 |
+-----------+-----------+
10 rows in set (0.00 sec)
我想要在广告系列和广告客户级汇总的报表,其中包含展示次数和点击次数以及不同的device_ids。所以我在下面写了一下查询
SELECT
campaign,
advertiser,
sum(impression_count),
sum(click_count),
count(DISTINCT device_id)
FROM report
LEFT JOIN device ON report.id = device.report_id
GROUP BY campaign, advertiser;
+----------+------------+-----------------------+------------------+---------------------------+
| campaign | advertiser | sum(impression_count) | sum(click_count) | count(distinct device_id) |
+----------+------------+-----------------------+------------------+---------------------------+
| camp1 | adv1 | 70 | 18 | 3 |
| camp2 | adv2 | 48 | 9 | 4 |
+----------+------------+-----------------------+------------------+---------------------------+
此处由于联合展示次数而且click_count聚合为多行。想要的是
+----------+------------+-----------------------+------------------+---------------------------+
| campaign | advertiser | sum(impression_count) | sum(click_count) | count(distinct device_id) |
+----------+------------+-----------------------+------------------+---------------------------+
| camp1 | adv1 | 35 | 9 | 3 |
| camp2 | adv2 | 16 | 3 | 4 |
+----------+------------+-----------------------+------------------+---------------------------+
http://sqlfiddle.com/#!2/05dd9d/1
发现不是那么好的解决方案
select campaign,advertiser,ic,cc,count(distinct device_id)
from (
select
group_concat(id) as id,
sum(impression_count)as ic,
sum(click_count)as cc,
campaign,advertiser
FROM report har GROUP BY campaign,advertiser) a
LEFT JOIN device dr ON FIND_IN_SET(dr.report_id, a.id)
group by a.id
);
但是这会使用group concat,如果group_concat结果的长度很大,可能会出现问题。
答案 0 :(得分:3)
您要做的是做两个不同的查询,然后加入结果集。外部选择只是为了选择我们真正想要的信息,并将两个临时表连接到一个公共值上。如果您不想为整个广告系列选择设备表中的不同设备,也可以使用id和report_id执行此操作。
select `firsttable`.campaign, `firsttable`.advertiser, a, b, c from
(select id, campaign, advertiser, sum(impression_count) as a, sum(click_count) as b
from report
group by campaign, advertiser
) as firsttable
left join
(select campaign, advertiser, count(distinct device_id) as c
from device, report
where id=report_id
group by campaign, advertiser
) as secondtable on `firsttable`.campaign=`secondtable`.campaign and
`firsttable`.advertiser=`secondtable`.advertiser;
SQLFiddle:http://sqlfiddle.com/#!2/8bd63/20
此查询是这两个临时表的组合:
| ID | CAMPAIGN | ADVERTISER | A | B |
|----|----------|------------|-----|-----|
| 1 | camp1 | adv1 | 35 | 9 |
| 5 | camp1 | adv2 | 900 | 900 |
| 2 | camp2 | adv2 | 16 | 3 |
| CAMPAIGN | ADVERTISER | C |
|----------|------------|---|
| camp1 | adv1 | 3 |
| camp2 | adv2 | 4 |
结果:
| CAMPAIGN | ADVERTISER | A | B | C |
|----------|------------|-----|-----|--------|
| camp1 | adv1 | 35 | 9 | 3 |
| camp1 | adv2 | 900 | 900 | (null) |
| camp2 | adv2 | 16 | 3 | 4 |
您的查询存在的问题是,在将报表与设备表组合时会重复行。你最终会得到这样的东西:
| CAMPAIGN | ADVERTISER | IMPRESSION_COUNT | CLICK_COUNT | DEVICE_ID |
|----------|------------|------------------|-------------|-----------|
| camp1 | adv1 | 20 | 6 | d1 |
| camp1 | adv1 | 20 | 6 | d2 |
| camp2 | adv2 | 10 | 2 | d1 |
| camp2 | adv2 | 10 | 2 | d3 |
| camp2 | adv2 | 10 | 2 | d4 |
| camp1 | adv1 | 15 | 3 | d2 |
| camp1 | adv1 | 15 | 3 | d4 |
| camp2 | adv2 | 6 | 1 | d3 |
| camp2 | adv2 | 6 | 1 | d4 |
| camp2 | adv2 | 6 | 1 | d5 |
| camp1 | adv2 | 900 | 900 | (null) |
答案 1 :(得分:0)
也许这可以帮到你:
SELECT
campaign,
advertiser,
SUM(impression_count) AS ic,
sum(click_count) as cc,
(select
count(distinct device_id)
from
device
where
report_id = id) AS DD
from
report
group by campaign , advertiser;