将多行组合成一行MySQL

时间:2014-01-14 16:36:41

标签: mysql rows multiple-columns

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!

2 个答案:

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

SQL Fiddle with Demo

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';

SQL Fiddle with Demo

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;

请参阅SQL Fiddle with Demo

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。)