具有动态列的 MySQL 数据透视表查询

MySQL pivot table query with dynamic columns(具有动态列的 MySQL 数据透视表查询)
本文介绍了具有动态列的 MySQL 数据透视表查询的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我使用以下表格来存储产品数据:

I'm using the following tables for storing product data:

mysql> SELECT * FROM product;
+---------------+---------------+--------+
| id | name     | description   | stock  |
+---------------+---------------+--------+
|  1 | product1 | first product |    5   | 
|  2 | product2 | second product|    5   | 
+---------------+---------------+--------+

mysql> SELECT * FROM product_additional;
+-----------------+------------+
| id | fieldname  | fieldvalue |
+-----------------+------------+
|  1 | size       | S          |
|  1 | height     | 103        |
|  2 | size       | L          |
|  2 | height     | 13         |
|  2 | color      | black      |
+-----------------+------------+

使用以下查询从两个表中选择记录

Using the following query to select the records from both tables

mysql> SELECT 
    p.id
    , p.name
    , p.description
    ,MAX(IF(pa.fieldname = 'size', pa.fieldvalue, NULL)) as `size`
    ,MAX(IF(pa.fieldname = 'height', pa.fieldvalue, NULL)) as `height`
    ,MAX(IF(pa.fieldname = 'color', pa.fieldvalue, NULL)) as `color`
FROM product p
LEFT JOIN product_additional AS pa ON p.id = pa.id
GROUP BY p.id
+---------------+---------------+--------+---------+--------+
| id | name     | description   | size   | height  | color  |
+---------------+---------------+--------+---------+--------+
|  1 | product1 | first product | S      | 103     | null   |
|  2 | product2 | second product| L      | 13      | black  |
+---------------+---------------+--------+---------+--------+

一切正常:)

因为我动态填充附加"表,如果查询也是动态的,那就太好了.这样我就不必每次输入新的字段名和字段值时都更改查询.

Because i fill the 'additional' table dynamically it would be nice, if the query would also be dynamic. In that way i dont have to change the query everytime i put in a new fieldname and fieldvalue.

推荐答案

在 MySQL 中动态执行此操作的唯一方法是使用 Prepared statements.这是一篇关于它们的好文章:

The only way in MySQL to do this dynamically is with Prepared statements. Here is a good article about them:

动态数据透视表(将行转换为列)

您的代码如下所示:

SET @sql = NULL;
SELECT
  GROUP_CONCAT(DISTINCT
    CONCAT(
      'MAX(IF(pa.fieldname = ''',
      fieldname,
      ''', pa.fieldvalue, NULL)) AS ',
      fieldname
    )
  ) INTO @sql
FROM product_additional;

SET @sql = CONCAT('SELECT p.id
                    , p.name
                    , p.description, ', @sql, ' 
                   FROM product p
                   LEFT JOIN product_additional AS pa 
                    ON p.id = pa.id
                   GROUP BY p.id, p.name, p.description');

PREPARE stmt FROM @sql;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;

参见演示

注意:GROUP_CONCAT 函数有 1024 个字符的限制.见参数 group_concat_max_len

NOTE: GROUP_CONCAT function has a limit of 1024 characters. See parameter group_concat_max_len

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