SQL查询-限制查询结果 [英] Sql Query - Limiting query results
问题描述
我很确定我们不能将LIMIT子句用于我想做的事情-因此想确定是否还有其他方法可以实现此目的.
我有一个表,其中捕获了哪个用户访问了哪个商店.每次用户访问商店时,都会在此表中插入一行.
其中一些字段是
- shopping_id(主键)
- store_id
- user_id
现在我想要的是-对于给定的一组商店,找到访问该商店的最大次数的前5名用户.
我可以一次在1个商店中进行以下操作:
这将使我有5位访问store_id = 60的用户达到最大访问次数
我要做的是提供10个store_id的列表,并为每个商店获取访问该商店的最大时间的5位用户
这将不起作用,因为最后的限制"将仅返回5行,而不是每个商店返回5行.
关于如何实现此目标的任何想法.我总是可以编写一个循环并一次通过1个存储,但想知道是否有更好的方法
使用两个用户变量并计算相同的连续store_id,您可以将<= 5
替换为所需的任何限制
SELECT a.*
FROM (
SELECT store_id, user_id, count(1) as visits
FROM shopping
WHERE store_id IN (60,61,62,63,64,65,66)
GROUP BY store_id, user_id
ORDER BY store_id, visits desc, user_id
) a,
(SELECT @prev:=-1, @count:=1) b
WHERE
CASE WHEN @prev<>a.store_id THEN
CASE WHEN @prev:=a.store_id THEN
@count:=1
END
ELSE
@count:=@count+1
END <= 5
根据要求编辑一些说明:
第一个子查询(a)是对数据进行分组和排序的子查询,因此您将拥有以下数据:
store_id | user_id | visits
---------+---------+-------
60 1 5
60 2 3
60 3 1
61 2 4
61 3 2
第二个子查询(b)将用户变量@prev
设置为-1,将@count
设置为1
然后,我们从子查询(a)中选择所有数据,以验证case
中的条件.
-
验证我们之前看到的store_id(
@prev
)是否与当前store_id不同. 由于第一个@prev
等于-1,因此没有与当前store_id匹配的条件,因此我们输入的条件<>
为true,那么第二种情况就是使用当前store_id更改值@prev
.这是技巧,因此我可以在相同条件下更改两个用户变量@count
和@prev
. -
如果先前的store_id等于
@prev
,则只需增加@count
变量即可. -
我们检查计数是否在所需值之内,以便
<= 5
因此,根据我们的测试数据:
step | @prev | @count | store_id | user_id | visits
-----+-------+--------+----------+---------+-------
0 -1 1
1 60 1 60 1 5
2 60 2 60 2 3
3 60 3 60 3 1
4 61 1 61 2 4
5 61 2 61 3 2
I am quite certain we cannot use the LIMIT clause for what I want to do - so wanted to find if there are any other ways we can accomplish this.
I have a table which captures which user visited which store. Every time a user visits a store, a row is inserted into this table.
Some of the fields are
- shopping_id (primary key)
- store_id
- user_id
Now what I want is - for a given set of stores, find the top 5 users who have visited the store max number of times.
I can do this 1 store at a time as:
select store_id,user_id,count(1) as visits from shopping where store_id = 60 group by user_id,store_id order by visits desc Limit 5
This will give me the 5 users who have visited store_id=60 the max times
What I want to do is provide a list of 10 store_ids and for each store fetch the 5 users who have visited that store max times
select store_id,user_id,count(1) as visits from shopping where store_id in (60,61,62,63,64,65,66) group by user_id,store_id order by visits desc Limit 5
This will not work as the Limit at the end will return only 5 rows rather than 5 rows for each store.
Any ideas on how I can achieve this. I can always write a loop and pass 1 store at a time but wanted to know if there is a better way
Using two user variable and counting the same consecutive store_id, you can replace <= 5
with whatever limit you want
SELECT a.*
FROM (
SELECT store_id, user_id, count(1) as visits
FROM shopping
WHERE store_id IN (60,61,62,63,64,65,66)
GROUP BY store_id, user_id
ORDER BY store_id, visits desc, user_id
) a,
(SELECT @prev:=-1, @count:=1) b
WHERE
CASE WHEN @prev<>a.store_id THEN
CASE WHEN @prev:=a.store_id THEN
@count:=1
END
ELSE
@count:=@count+1
END <= 5
Edit as requested some explanation :
The first subquery (a) is the one that group and order the data so you will have data like:
store_id | user_id | visits
---------+---------+-------
60 1 5
60 2 3
60 3 1
61 2 4
61 3 2
the second subquery (b) init the user variable @prev
with -1 and @count
with 1
then we choose all data from the subquery (a) verifying the condition in the case
.
verify that the previous store_id (
@prev
) we have seen is different from the current store_id. Since the first@prev
is equal to -1 there is nothing that match the current store_id so the condition<>
is true we enter then is the second case who just serve to change the value@prev
with the current store_id. This is the trick so i can change the two user variable@count
and@prev
in the same condition.if the previous store_id is equal to
@prev
just increment the@count
variable.we check that the count is within the value we want so the
<= 5
So with our test data the:
step | @prev | @count | store_id | user_id | visits
-----+-------+--------+----------+---------+-------
0 -1 1
1 60 1 60 1 5
2 60 2 60 2 3
3 60 3 60 3 1
4 61 1 61 2 4
5 61 2 61 3 2
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