说我在MySQL数据库中有两个表。
表1:
ID Name
1 Jim
2 Bob
3 John
表2:
ID key value
1 address "X Street"
1 city "NY"
1 region "NY"
1 country "USA"
1 postal_code ""
1 phone "123456789"
从数据库中选择行时,有没有办法将第二个表中的行作为列连接到第一个表?
MySQL查询中的所需结果是:
ID Name address city region country postal_code phone
1 Jim X Street NY NY USA NULL 123456789
2 Bob NULL NULL NULL NULL NULL NULL
3 John NULL NULL NULL NULL NULL NULL
感谢您的帮助!
答案 0 :(得分:27)
这种类型的数据转换称为PIVOT。 MySQL没有pivot函数,但你可以使用带有CASE
表达式的聚合函数来复制它:
select t1.id,
t1.name,
max(case when t2.`key` = 'address' then t2.value end) address,
max(case when t2.`key` = 'city' then t2.value end) city,
max(case when t2.`key` = 'region' then t2.value end) region,
max(case when t2.`key` = 'country' then t2.value end) country,
max(case when t2.`key` = 'postal_code' then t2.value end) postal_code,
max(case when t2.`key` = 'phone' then t2.value end) phone
from table1 t1
left join table2 t2
on t1.id = t2.id
group by t1.id, t1.name
这也可以使用table2
上的多个联接来编写,并且您将在每个key
的联接中包含一个过滤器:
select t1.id,
t1.name,
t2a.value address,
t2c.value city,
t2r.value region,
t2y.value country,
t2pc.value postal_code,
t2p.value phone
from table1 t1
left join table2 t2a
on t1.id = t2a.id
and t2a.`key` = 'address'
left join table2 t2c
on t1.id = t2c.id
and t2c.`key` = 'city'
left join table2 t2r
on t1.id = t2r.id
and t2c.`key` = 'region'
left join table2 t2y
on t1.id = t2y.id
and t2c.`key` = 'country'
left join table2 t2pc
on t1.id = t2pc.id
and t2pc.`key` = 'postal_code'
left join table2 t2p
on t1.id = t2p.id
and t2p.`key` = 'phone';
如果您的key
值有限,则上述两个版本的效果会很好。如果您有未知数量的值,那么您将需要查看使用预准备语句来生成动态SQL:
SET @sql = NULL;
SELECT
GROUP_CONCAT(DISTINCT
CONCAT(
'max(case when t2.`key` = ''',
`key`,
''' then t2.value end) AS `',
`key`, '`'
)
) INTO @sql
from Table2;
SET @sql
= CONCAT('SELECT t1.id, t1.name, ', @sql, '
from table1 t1
left join table2 t2
on t1.id = t2.id
group by t1.id, t1.name;');
PREPARE stmt FROM @sql;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
所有版本都会给出结果:
| ID | NAME | ADDRESS | CITY | REGION | COUNTRY | POSTAL_CODE | PHONE |
|----|------|----------|--------|--------|---------|-------------|-----------|
| 1 | Jim | X Street | NY | (null) | (null) | (null) | 123456789 |
| 2 | Bob | (null) | (null) | (null) | (null) | (null) | (null) |
| 3 | John | (null) | (null) | (null) | (null) | (null) | (null) |
答案 1 :(得分:2)
第二个表中有一个名为entity-attribute-value的结构。有两种方法可以进行组合。我认为聚合方法更容易表达:
select t1.name,
max(case when `key` = 'address' then value end) as address,
max(case when `key` = 'city' then value end) as city,
max(case when `key` = 'region' then value end) as region,
max(case when `key` = 'country' then value end) as country,
max(case when `key` = 'postal_code' then value end) as postal_code,
max(case when `key` = 'phone' then value end) as phone
from table1 t1 left join
table2 t2
on t1.id = t2.id
group by t1.name;
第二种方法是为每个值执行单独的连接:
select t1.name, address.value, city.value, . . .
from table1 t1 left join
table2 address
on t1.id = address.id and address.`key` = 'Address' left join
table2 city
on t1.id = city.id and city.`key` = 'City' . . .
根据数据的结构,join
方法在使用适当的索引时在MySQL中实际上可以更快。 (其他数据库一直是聚合算法,因此group by
方法通常在其他数据库中运行良好。)