Question

我正在使用Prestashop，我需要验证数据完整性，将每个订单的当前状态与注册的最后订单历史状态进行比较。

订单表：

╔══════════╦═══════════════╦
║ id_order ║ current_state ║
╠══════════╬═══════════════╬
║    1     ║       3       ║ 
║    2     ║       1       ║
║    3     ║       2       ║
║    4     ║       1       ║
╚══════════╩═══════════════╩

order_history 表：

╔══════════════════╦══════════╦════════════════╦═════════════════════╦
║ id_order_history ║ id_order ║ id_order_state ║      date_add       ║
╠══════════════════╬══════════╬════════════════╬═════════════════════╬
║        1         ║     1    ║       1        ║ 2016-08-01 11:00:00 ║
║        2         ║     2    ║       1        ║ 2016-08-02 12:00:00 ║
║        3         ║     1    ║       3        ║ 2016-08-03 13:00:00 ║
║        4         ║     3    ║       1        ║ 2016-08-04 14:00:00 ║
║        5         ║     3    ║       2        ║ 2016-08-05 15:00:00 ║
║        6         ║     2    ║       3        ║ 2016-08-06 16:00:00 ║
║        7         ║     4    ║       1        ║ 2016-08-07 17:00:00 ║
╚══════════════════╩══════════╩════════════════╩═════════════════════╩

（自愿遗漏表是为订单状态命名：1 =“付费”，2 =“已确认”，3 =“已发货”......）

通常，current_state顺序必须等于最后一个状态历史记录条目，但有时候不是（在我的示例中，对于＃2的顺序，current_state = 1但是上次历史记录更新的id_order_state是2），这就是我想要的透露。

我这样做是为了获得每个最后的订单状态更新：

SELECT o.id_order, o.current_state, h.id_order_state, max(h.date_add)
FROM orders o, order_history h
WHERE o.id_order = h.id_order
GROUP BY o.id_order, o.current_state, h.id_order_state
ORDER BY o.id_order ASC

但这还不够，因为首先我只想要每个订单上次更新的状态：

╔══════════╦═══════════════╦════════════════╦═════════════════════╗
║ id_order ║ current_state ║ id_order_state ║   max(h.date_add)   ║
╠══════════╬═══════════════╬════════════════╬═════════════════════╣
║    1     ║       3       ║       3        ║ 2016-08-03 13:00:00 ║
║    2     ║       1       ║       3        ║ 2016-08-06 16:00:00 ║
║    3     ║       2       ║       2        ║ 2016-08-05 15:00:00 ║
║    4     ║       1       ║       1        ║ 2016-08-07 17:00:00 ║
╚══════════╩═══════════════╩════════════════╩═════════════════════╝

然后添加一个带WHERE current_state <> id_order_state的过滤器，只显示损坏的数据（如＃2顺序）：

╔══════════╦═══════════════╦════════════════╦═════════════════════╗
║ id_order ║ current_state ║ id_order_state ║   max(h.date_add)   ║
╠══════════╬═══════════════╬════════════════╬═════════════════════╣
║    2     ║       1       ║       3        ║ 2016-08-06 16:00:00 ║
╚══════════╩═══════════════╩════════════════╩═════════════════════╝

完整的SQL请求是否可以执行此操作？

Answer 1

E.g：

SELECT o.id_order
     , o.current_state
     , x.id_order_state
     , x.date_add
  FROM order_history x 
  JOIN 
     ( SELECT id_order,MAX(date_add) date_add FROM order_history GROUP BY id_order ) y 
    ON y.id_order = x.id_order 
   AND y.date_add = x.date_add
  JOIN orders o
    ON o.id_order = x.id_order
 WHERE x.id_order_state <> o.current_state;

Answer 2

首先使用您已有的max(h.date_add)子句将订单历史记录选择到临时表中。

然后，您可以使用查询WHERE o.id_order = h.id_order

加入此项

首先将它放入临时表（或子查询）中，您已经消除了多行的问题。然后，您可以对订单状态进行比较，这将告诉您哪些订单状态不同步。

将其视为首先从历史记录表中预先过滤您不需要的数据。

Answer 3

~~Klemart3D这不是一个基本的SQL查询：）~~抱歉，我没有看到标题是由另一个用户编辑的:)，但是我猜（我希望XD）那是满足您需求的查询：

SELECT 
    o.`id_order`, o.`current_state`, h.`id_order_state`, h.`date_add`
FROM 
    `ps_order_history` h INNER JOIN (SELECT `id_order`, MAX(`date_add`) AS maxdateadd FROM `ps_order_history` GROUP BY id_order) laststatus ON (h.`id_order` = laststatus.`id_order` AND h.`date_add` = laststatus.`maxdateadd`)
    INNER JOIN `ps_orders` o ON (o.`id_order` = h.`id_order` AND o.`current_state` <> h.`id_order_state`)
ORDER BY h.`id_order` ASC

我已将标准前缀ps添加到表名。

Answer 4

我发现了这种解决方法，但此处发布的其他一些查询比我的更好：

SELECT o.id_order, o.current_state, h.id_order_state, h.date
FROM ps_orders o
LEFT JOIN (
    SELECT id_order, id_order_state, max(date_add) as date
    FROM ps_order_history
    GROUP BY id_order
    ORDER BY id_order DESC
) h ON o.id_order = h.id_order
WHERE o.current_state <> h.id_order_state 
GROUP BY o.id_order
ORDER BY o.id_order DESC

我已将标准前缀ps添加到表名。

注意：此查询不适用于Prestashop的请求SQL（子查询生成＆＃34;未定义checkedFrom错误＆＃34; PS v1.6.0.14）。

过滤与订单状态不匹配的订单以及订单历史记录中的最后订单状态

4 个答案: