MySQL在EAV表中按值排序？

时间：2014-02-26 19:54:09

标签： mysql sql

我如何按值排序？我需要按值的顺序获取文档ID（如果存在）。

结果查询示例：

+------+------+------------+-------+---------------------+---------------------+
| id   | name | wfid       | docid | created             | updated             |
+------+------+------------+-------+---------------------+---------------------+
| 5269 | DOC2 | documentos | doc   | 2014-02-25 09:34:56 | 2014-02-25 09:39:51 |
| 5270 | DOC2 | documentos | doc   | 2014-02-25 09:34:57 | 2014-02-25 10:41:57 |
| 5271 | DOC2 | documentos | doc   | 2014-02-25 09:34:57 | 2014-02-25 10:42:20 |
+------+------+------------+-------+---------------------+---------------------+

我不知道如何实现它。它适用于非常丑陋的查询，但没有订购能力。例如，我希望所有来自Client1的文档都按Period排序。用户必须拥有查看文档的权限，权限由wfid，docid和userid组成。

有可能吗？

小提琴：http://sqlfiddle.com/#!2/3b49e8

架构：

mysql> describe documents;
+---------+-----------+------+-----+---------------------+-----------------------------+
| Field   | Type      | Null | Key | Default             | Extra                       |
+---------+-----------+------+-----+---------------------+-----------------------------+
| id      | int(11)   | NO   | PRI | NULL                | auto_increment              |
| name    | char(100) | YES  |     | NULL                |                             |
| wfid    | char(50)  | YES  |     | NULL                |                             |
| docid   | char(50)  | YES  |     | NULL                |                             |
| created | timestamp | NO   |     | 0000-00-00 00:00:00 |                             |
| updated | timestamp | NO   |     | CURRENT_TIMESTAMP   | on update CURRENT_TIMESTAMP |
+---------+-----------+------+-----+---------------------+-----------------------------+
6 rows in set (0.00 sec)

mysql> describe users;
+----------+----------+------+-----+---------+----------------+
| Field    | Type     | Null | Key | Default | Extra          |
+----------+----------+------+-----+---------+----------------+
| id       | int(11)  | NO   | PRI | NULL    | auto_increment |
| login    | char(30) | NO   |     | NULL    |                |
| password | char(50) | NO   |     | NULL    |                |
+----------+----------+------+-----+---------+----------------+
3 rows in set (0.00 sec)

mysql> describe permissions;
+--------+----------+------+-----+---------+----------------+
| Field  | Type     | Null | Key | Default | Extra          |
+--------+----------+------+-----+---------+----------------+
| id     | int(11)  | NO   | PRI | NULL    | auto_increment |
| wfId   | char(50) | NO   |     | NULL    |                |
| docId  | char(50) | NO   |     | NULL    |                |
| userId | int(11)  | NO   | MUL | NULL    |                |
+--------+----------+------+-----+---------+----------------+
4 rows in set (0.00 sec)

mysql> describe keywords;
+-------------+--------------+------+-----+---------+----------------+
| Field       | Type         | Null | Key | Default | Extra          |
+-------------+--------------+------+-----+---------+----------------+
| id          | int(11)      | NO   | PRI | NULL    | auto_increment |
| document_id | int(11)      | NO   | MUL | NULL    |                |
| keyword     | char(50)     | NO   |     | NULL    |                |
| value       | varchar(250) | YES  |     | NULL    |                |
+-------------+--------------+------+-----+---------+----------------+
4 rows in set (0.01 sec)

数据：

mysql> select * from permissions;
+----+------------+-------+--------+
| id | wfId       | docId | userId |
+----+------------+-------+--------+
| 13 | documentos | doc   |      7 |
+----+------------+-------+--------+
1 row in set (0.00 sec)

mysql> select * from users;
+----+-------+----------+
| id | login | password |
+----+-------+----------+
|  7 | admin | a        |
+----+-------+----------+
1 row in set (0.00 sec)

mysql> select * from documents;
+------+------+------------+-------+---------------------+---------------------+
| id   | name | wfid       | docid | created             | updated             |
+------+------+------------+-------+---------------------+---------------------+
| 5263 | DOC1 | documentos | doc   | 2014-02-25 09:34:44 | 2014-02-25 09:38:09 |
| 5264 | DOC1 | documentos | doc   | 2014-02-25 09:34:50 | 2014-02-25 09:38:25 |
| 5265 | DOC1 | documentos | doc   | 2014-02-25 09:34:50 | 2014-02-25 09:38:37 |
| 5266 | DOC1 | documentos | doc   | 2014-02-25 09:34:50 | 2014-02-25 09:38:59 |
| 5267 | DOC1 | documentos | doc   | 2014-02-25 09:34:51 | 2014-02-25 09:39:10 |
| 5268 | DOC2 | documentos | doc   | 2014-02-25 09:34:56 | 2014-02-25 09:39:25 |
| 5269 | DOC2 | documentos | doc   | 2014-02-25 09:34:56 | 2014-02-25 09:39:51 |
| 5270 | DOC2 | documentos | doc   | 2014-02-25 09:34:57 | 2014-02-25 10:41:57 |
| 5271 | DOC2 | documentos | doc   | 2014-02-25 09:34:57 | 2014-02-25 10:42:20 |
| 5272 | DOC2 | documentos | doc   | 2014-02-25 09:34:58 | 2014-02-25 10:43:04 |
+------+------+------------+-------+---------------------+---------------------+
10 rows in set (0.00 sec)

mysql> select * from keywords;
+-------+-------------+-----------+----------+
| id    | document_id | keyword   | value    |
+-------+-------------+-----------+----------+
| 15888 |        5263 | Nombre    | Cliente1 |
| 15889 |        5264 | Nombre    | Cliente1 |
| 15890 |        5265 | Nombre    | Cliente1 |
| 15891 |        5266 | Nombre    | Cliente2 |
| 15892 |        5267 | Nombre    | Cliente3 |
| 15893 |        5268 | Nombre    | Cliente3 |
| 15894 |        5269 | Nombre    | Cliente3 |
| 15895 |        5270 | Nombre    | Cliente4 |
| 15896 |        5271 | Nombre    | Cliente4 |
| 15897 |        5272 | Nombre    | Cliente4 |
| 15898 |        5263 | Periodo   | 201301   |
| 15899 |        5263 | OtroValor | 1        |
| 15900 |        5264 | Periodo   | 201301   |
| 15901 |        5264 | OtroValor | 1        |
| 15902 |        5265 | Periodo   | 201301   |
| 15903 |        5265 | OtroValor | 1        |
| 15904 |        5266 | Periodo   | 201302   |
| 15905 |        5266 | OtroValor | 2        |
| 15906 |        5267 | Periodo   | 201302   |
| 15907 |        5267 | OtroValor | 2        |
| 15908 |        5268 | Periodo   | 201302   |
| 15909 |        5268 | OtroValor | 2        |
| 15910 |        5269 | Periodo   | 201303   |
| 15911 |        5269 | OtroValor | 3        |
| 15912 |        5270 | Periodo   | 201303   |
| 15913 |        5270 | OtroValor | 3        |
| 15914 |        5271 | Periodo   | 201304   |
| 15915 |        5271 | OtroValor | 3        |
| 15916 |        5272 | Periodo   | 201304   |
+-------+-------------+-----------+----------+
29 rows in set (0.00 sec)

1 个答案:

答案 0 :(得分：1)

我想我做了伎俩，所以我们去了：

首先，您必须INNER JOIN docs和permissions关于您想要的条件（相同的docid和相同的wfid），才能获得具有权限的docs行。然后，您按用户过滤以仅获得您想要的用户。我把条件放在最后，但如果您愿意，可以在ON条件中包括，如果您稍后加入表格，则可以提高性能。之后，您可以下达所需的订单条件。

我最终得到的SQL是：

SELECT  d.id, d.name, d.wfid, d.docid, d.created, d.updated 
FROM documents d
INNER JOIN permissions p
ON (d.wfid = p.wfId
    AND d.docid = p.docId)
WHERE p.userid = 7
ORDER BY d.created DESC

http://sqlfiddle.com/#!2/3b49e8/14/0

如果您在created中包含wfid，docid和docs字段的索引以提高性能，那么可能会很好，因为您将它们用作内部联接和订购。

更新

请检查：http://sqlfiddle.com/#!2/3b49e8/19/0

我已将其他表添加到查询中，使关键字加入两次：

SELECT  d.id, d.name, d.wfid, d.docid, d.created, d.updated, k1.keyword
FROM documents d
INNER JOIN permissions p
ON (d.wfid = p.wfId
    AND d.docid = p.docId)
INNER JOIN keywords k1
ON (k1.document_id = d.id
   AND k1.keyword = 'Periodo' )

INNER JOIN keywords k2
ON (k2.document_id = d.id
   AND k2.keyword = 'Nombre' )

WHERE p.userid = 7
AND k2.value = 'Cliente1'

ORDER BY d.created DESC

正如您所看到的，我添加了关键字join以显示它的“Periodo”

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