MySQL查询-复杂的搜索条件
我有一个带有以下结构的表“位置”：MySQL查询-复杂的搜索条件,mysql,optimization,Mysql,Optimization,我有一个带有以下结构的表“位置”： id | property_id | location_type 1 | 1 | 1 2 | 1 | 2 3 | 2 | 1 4 | 3 | 2 5 | 4 | 1 6 | 4 | 2 id | property_id | amenity_type 1 | 1 | 1 2 | 1
id | property_id | location_type
1 | 1 | 1
2 | 1 | 2
3 | 2 | 1
4 | 3 | 2
5 | 4 | 1
6 | 4 | 2
id | property_id | amenity_type
1 | 1 | 1
2 | 1 | 3
3 | 2 | 2
4 | 3 | 4
5 | 4 | 1
6 | 4 | 3
id | property_id | property_type
1 | 1 | 2
2 | 1 | 3
3 | 2 | 2
4 | 3 | 4
5 | 4 | 2
6 | 4 | 3
id | property_id | location_type
1 | 1 | 1
2 | 1 | 2
3 | 2 | 1
4 | 3 | 2
5 | 4 | 1
6 | 4 | 2
id | property_id | amenity_type
1 | 1 | 1
2 | 1 | 3
3 | 2 | 2
4 | 3 | 4
5 | 4 | 1
6 | 4 | 3
id | property_id | property_type
1 | 1 | 2
2 | 1 | 3
3 | 2 | 2
4 | 3 | 4
5 | 4 | 2
6 | 4 | 3
id | property_id | location_type
1 | 1 | 1
2 | 1 | 2
3 | 2 | 1
4 | 3 | 2
5 | 4 | 1
6 | 4 | 2
id | property_id | amenity_type
1 | 1 | 1
2 | 1 | 3
3 | 2 | 2
4 | 3 | 4
5 | 4 | 1
6 | 4 | 3
id | property_id | property_type
1 | 1 | 2
2 | 1 | 3
3 | 2 | 2
4 | 3 | 4
5 | 4 | 2
6 | 4 | 3
等等。我的开销很大。请帮忙。另外，请注意位置类型、设施类型、属性类型是动态的，即用户可以在主表中添加更多的位置类型，我需要获取更多位置类型的计数。如果需要进行该查询，最重要的部分是确保所有不同字段都有索引。但是，由于每个表中的每个条目都与其他表中的条目有一对一的关系，因此最好只使用一个表。在这样的情况下，如果您有多个值，那么多个表没有问题。你在这里做的很好。以下是您需要的查询：
select distinct l1.property_id
from location as l1, location as l2,
amentities as a,
properties as p1, properties as p2
where l1.property_id = l2.property_id
and l1.property_id = a.property_id
and l1.property_id = p1.property_id
and l1.property_id = p2.property_id
and l1.location_type = 1
and l2.location_type = 2
and a.amenity_type = 1
and p1.property_type = 3
and p2.property_type = 1
[从显示联接语法的文本中编辑]：
SELECT p.id
FROM
property AS p
JOIN
location AS l1
ON l1.property_id = p.id
AND l1.location_type = 1
JOIN
location AS l2
ON l2.property_id = p.id
AND l2.location_type = 2
JOIN
amentities AS a1
ON a1.property_id = p.id
AND a1.amenity_type = 2
JOIN
properties AS p1
ON p1.property_id = p.id
AND p1.property_type = 3
JOIN
properties AS p2
ON p2.property_id = p.id
AND p2.property_type = 1
[edit about performance]通常，要获得良好的数据库性能，您需要担心的唯一（或至少是到目前为止最重要的）事情是索引。您需要在每个表的property_id列上声明一个索引，也可以在您拥有的不同类型列上声明一个索引。这是至关重要的。但是一旦你有了它，对于几百万行，这应该是很快的——上面的查询不是一个非常复杂的查询，并且你的数据少于GB（考虑对类型列使用tinyint）。别担心。。。别名（“as X”）根本不是问题
[为计数而编辑]对于（位置为1、位置为2、舒适性为1、属性为3、属性为1、位置为X的属性为id）和位置为X的计数
select lx.location_id, count(l1.property_id)
from location as l1, location as l2, location as lx
amentities as a,
properties as p1, properties as p2
where l1.property_id = l2.property_id
and l1.property_id = a.property_id
and l1.property_id = p1.property_id
and l1.property_id = p2.property_id
and l1.property_id = lx.property_id
and l1.location_type = 1
and l2.location_type = 2
and a.amenity_type = 1
and p1.property_type = 3
and p2.property_type = 1
group by lx.location_type
select property_id
from location
where location_type in (1,2)
group by property_id
having count(location_type) = 2
and property_id in (
select property_id
from amenities
where amenity_type = 1
group by property_id )
and property_id in (
select property_id
from property
where property_type in (1,3)
group by property_id
having count(property_type) = 2
)
它也适用于您的少数示例记录，但我确信在大型数据集上，此查询的性能会非常差。；） 你能把三张桌子合并成一张桌子吗？这将减轻连接的性能损失。实际上，最初它是一个单表。它的值如下：id | property | id | location | type |舒适| type | property | type 1 | 1 | 1,2,3 | 2,3 | 1,2。但是，对于我来说，提取位置类型为1和3、设施类型为2的属性id变得越来越困难。您可以将列设置为
int