Sql 在一列中选择两个值
我有三张桌子： MMP\u用户\u元数据\u实例Sql 在一列中选择两个值,sql,select,join,Sql,Select,Join,我有三张桌子： MMP\u用户\u元数据\u实例 +----+---------------------------+------------------+-------------+---------+ | ID | INSTANCE_VALUE_VISIBILITY | NAME | METADATA_ID | USER_ID | +----+---------------------------+------------------+-------------+--
+----+---------------------------+------------------+-------------+---------+
| ID | INSTANCE_VALUE_VISIBILITY | NAME | METADATA_ID | USER_ID |
+----+---------------------------+------------------+-------------+---------+
| 3 | 1 | dados-adicionais | 1 | 1 |
+----+---------------------------+------------------+-------------+---------+
+-------+--------+------------------+---------------------------+------------------+
| ID | VALUE | METADATAENTRY_ID | USER_METADATA_INSTANCE_ID | ELEMENT_POSITION |
+-------+--------+------------------+---------------------------+------------------+
| 1,288 | Testes | 50 | 3 | 0 |
| 1,289 | 16 | 51 | 3 | 1 |
| 1,290 | Teste | 52 | 3 | 2 |
| 1,291 | | 53 | 3 | 3 |
| 1,292 | 44 | 54 | 3 | 4 |
| 1,293 | 38 | 55 | 3 | 5 |
| 1,294 | | 56 | 3 | 6 |
| 1,295 | Teste | 57 | 3 | 7 |
| 1,296 | 46 | 58 | 3 | 8 |
| 1,297 | 46 | 59 | 3 | 9 |
| 1,298 | Teste | 60 | 3 | 10 |
| 1,299 | | 61 | 3 | 11 |
| 1,300 | Teste | 62 | 3 | 12 |
| 1,301 | teste | 63 | 3 | 13 |
| 1,302 | teste | 64 | 3 | 14 |
+-------+--------+------------------+---------------------------+------------------+
+----+---------------------------+------------------+-------------+---------+
| ID | INSTANCE_VALUE_VISIBILITY | NAME | METADATA_ID | USER_ID |
+----+---------------------------+------------------+-------------+---------+
| 3 | 1 | dados-adicionais | 1 | 1 |
+----+---------------------------+------------------+-------------+---------+
+-------+--------+------------------+---------------------------+------------------+
| ID | VALUE | METADATAENTRY_ID | USER_METADATA_INSTANCE_ID | ELEMENT_POSITION |
+-------+--------+------------------+---------------------------+------------------+
| 1,288 | Testes | 50 | 3 | 0 |
| 1,289 | 16 | 51 | 3 | 1 |
| 1,290 | Teste | 52 | 3 | 2 |
| 1,291 | | 53 | 3 | 3 |
| 1,292 | 44 | 54 | 3 | 4 |
| 1,293 | 38 | 55 | 3 | 5 |
| 1,294 | | 56 | 3 | 6 |
| 1,295 | Teste | 57 | 3 | 7 |
| 1,296 | 46 | 58 | 3 | 8 |
| 1,297 | 46 | 59 | 3 | 9 |
| 1,298 | Teste | 60 | 3 | 10 |
| 1,299 | | 61 | 3 | 11 |
| 1,300 | Teste | 62 | 3 | 12 |
| 1,301 | teste | 63 | 3 | 13 |
| 1,302 | teste | 64 | 3 | 14 |
+-------+--------+------------------+---------------------------+------------------+
+----+-----------+--------------------------+----------+------------+----------------+-------------+------------------+
| ID | INDEXABLE | NAME | REQUIRED | VALUE_TYPE | DOMAIN_LIST_ID | METADATA_ID | ELEMENT_POSITION |
+----+-----------+--------------------------+----------+------------+----------------+-------------+------------------+
| 50 | 0 | Skype | 0 | 4 | null | 1 | 0 |
| 51 | 0 | Centro de Custo | 1 | 7 | 32 | 1 | 1 |
| 52 | 0 | Endereço Bairro | 0 | 2 | null | 1 | 2 |
| 53 | 0 | Endereço Cidade | 0 | 2 | null | 1 | 3 |
| 54 | 0 | Estado Civil | 1 | 7 | 34 | 1 | 4 |
| 55 | 0 | Filhos | 1 | 7 | 33 | 1 | 5 |
| 56 | 0 | Graduação Curso | 0 | 2 | null | 1 | 6 |
| 57 | 0 | Graduação Faculdade | 0 | 2 | null | 1 | 7 |
| 58 | 0 | Nivel de Idioma Inglês | 1 | 7 | 1 | 1 | 8 |
| 59 | 0 | Nivel de Idioma Espanhol | 1 | 7 | 1 | 1 | 9 |
| 60 | 0 | Outro Idioma | 0 | 2 | null | 1 | 10 |
| 61 | 0 | Link Linkedin | 0 | 3 | null | 1 | 11 |
| 62 | 0 | Link Facebook | 0 | 3 | null | 1 | 12 |
| 63 | 0 | Esporte | 0 | 4 | null | 1 | 13 |
| 64 | 0 | Time de Futebol | 0 | 4 | null | 1 | 14 |
+----+-----------+--------------------------+----------+------------+----------------+-------------+------------------+
SELECT i.USER_ID
,m_e.NAME
,v.VALUE
FROM MMP_USER_METADATA_INSTANCE i
LEFT JOIN MMP_USER_METADATA_INST_VALUE v ON (i.id = v.USER_METADATA_INSTANCE_ID)
LEFT JOIN MMP_METADATA_ENTRY m_e ON (v.METADATAENTRY_ID = m_e.id)
WHERE i.USER_ID = 1
+---------+--------------------------+--------+
| USER_ID | NAME | VALUE |
+---------+--------------------------+--------+
| 1 | Skype | Testes |
| 1 | Centro de Custo | 16 |
| 1 | Endereço Bairro | Teste |
| 1 | Endereço Cidade | |
| 1 | Estado Civil | 44 |
| 1 | Filhos | 38 |
| 1 | Graduação Curso | |
| 1 | Graduação Faculdade | Teste |
| 1 | Nivel de Idioma Inglês | 46 |
| 1 | Nivel de Idioma Espanhol | 46 |
| 1 | Outro Idioma | Teste |
| 1 | Link Linkedin | |
| 1 | Link Facebook | Teste |
| 1 | Esporte | teste |
| 1 | Time de Futebol | teste |
+---------+--------------------------+--------+
+---------+---------------+----------------------+-------------------------+---------------------+-------------------+-------------+---------------------+-----------------------------+-----------------------------+-------------------------------+----------------------+-------------------+-----------------------+-----------------+-------------------------+
| USER_ID | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |
+---------+---------------+----------------------+-------------------------+---------------------+-------------------+-------------+---------------------+-----------------------------+-----------------------------+-------------------------------+----------------------+-------------------+-----------------------+-----------------+-------------------------+
| 1 | Skype =Testes | Centro de Custo = 16 | Endereço Bairro = Teste | Endereço Cidade = | Estado Civil = 44 | Filhos = 38 | Graduação Curso = | Graduação Faculdade = Teste | Nivel de Idioma Inglês = 46 | Nivel de Idioma Espanhol = 46 | Outro Idioma = Teste | Link Linkedin = | Link Facebook = Teste | Esporte = teste | Time de Futebol = teste |
+---------+---------------+----------------------+-------------------------+---------------------+-------------------+-------------+---------------------+-----------------------------+-----------------------------+-------------------------------+----------------------+-------------------+-----------------------+-----------------+-------------------------+
实际上，您正在对数据进行透视。以下是ANSI SQL，将在所有现代DBMS上使用
with data as (
-- this is essentially your current query
SELECT i.user_id,
m_e.name,
v.value,
-- this just gives every row a unique number
row_number() over (partition by i.user_id order by m_e.name) as rn
FROM mmp_user_metadata_instance i
LEFT JOIN mmp_user_metadata_inst_value v ON (i.id = v.user_metadata_instance_id)
LEFT JOIN mmp_metadata_entry m_e ON (v.metadataentry_id = m_e.id)
WHERE i.user_id = 1
)
select user_id,
max(case when rn = 1 then name||' = '||value end) as "1",
max(case when rn = 2 then name||' = '||value end) as "2",
max(case when rn = 3 then name||' = '||value end) as "3",
max(case when rn = 4 then name||' = '||value end) as "4",
max(case when rn = 5 then name||' = '||value end) as "5",
max(case when rn = 6 then name||' = '||value end) as "6",
max(case when rn = 7 then name||' = '||value end) as "7",
max(case when rn = 8 then name||' = '||value end) as "8",
max(case when rn = 9 then name||' = '||value end) as "9",
max(case when rn = 10 then name||' = '||value end) as "10",
max(case when rn = 11 then name||' = '||value end) as "11",
max(case when rn = 12 then name||' = '||value end) as "12",
max(case when rn = 13 then name||' = '||value end) as "13",
max(case when rn = 14 then name||' = '||value end) as "14",
max(case when rn = 15 then name||' = '||value end) as "15"
from data
group by user_id;
valuenullcoalesce（）您必须定义列数的上限。SQL语言要求在运行查询之前定义查询的列数，因此无法使这些列成为动态的。老实说，当我开始研究这个问题时，这让我很头疼。是否可以在不使用任何代码段的情况下重新格式化表，而将其替换为ASCII表？结果列中的行数在数量上似乎是动态的，这使得在不编写动态SQL的情况下使用数据透视表函数毫无意义@蓝脚怪在这些方面真的很好，有几个例子，所以。。。这里有一个例子：您使用的是哪种DBMS？博士后？甲骨文？@一匹没有名字的马，我需要所有的databases@FutbolFan我没有更改结构的权限