Question

SELECT orders.Stock ,lflayouts.sides, count(*) as Quantity FROM dash_relationship 
JOIN orders ON orders.UID = dash_relationship.form_id
JOIN lfitems ON lfitems.uid = orders.UID
Join lflayouts ON lflayouts.id = lfitems.layout_id
WHERE dash_relationship.machine_id='108'
GROUP BY orders.stock,lflayouts.sides;

上面的查询输出如下

STOCK   SIDES    QUANTITY
paper1    1         214
paper1    2         210
paper2    1           7
paper3    1           2

现在，我的问题是，如果我想获得基于不同方面的总计单个股票，该怎么办。因此，我尝试使用以下查询，这使我犯了一个错误，即服务器版本要求正确的语法以在第1行的'（partition）附近使用

SELECT orders.Stock ,lflayouts.sides, count(*) as Quantity, SUM(lflayouts.sides) OVER(partition by orders.stock) as Total FROM dash_relationship 
JOIN orders ON orders.UID = dash_relationship.form_id
JOIN lfitems ON lfitems.uid = orders.UID
Join lflayouts ON lflayouts.id = lfitems.layout_id
WHERE dash_relationship.machine_id='108'
GROUP BY orders.stock,lflayouts.sides;

EXPECTED OUTPUT
STOCK   SIDES    QUANTITY TOTAL
paper1    1         214    414 or 214
paper1    2         210    414
paper2    1           7      7
paper3    1           2      2

Answer 1

MySQL 5.5.62不支持窗口功能。

您可以使用标准联接来实现它，但是查询看起来会更加复杂。

SELECT    T1.Stock
         ,T1.sides
         ,Sum(T2.Quantity) as RunningTotal
FROM     (SELECT orders.Stock ,lflayouts.sides, count(*) as Quantity 
          FROM 
              dash_relationship 
              JOIN orders ON orders.UID = dash_relationship.form_id
              JOIN lfitems ON lfitems.uid = orders.UID
              JOIN lflayouts ON lflayouts.id = lfitems.layout_id
              WHERE dash_relationship.machine_id='108'
              GROUP BY orders.stock,lflayouts.sides
         ) T1
         INNER JOIN 
         (
          SELECT orders.Stock ,lflayouts.sides, count(*) as Quantity 
          FROM 
              dash_relationship 
              JOIN orders ON orders.UID = dash_relationship.form_id
              JOIN lfitems ON lfitems.uid = orders.UID
              JOIN lflayouts ON lflayouts.id = lfitems.layout_id
              WHERE dash_relationship.machine_id='108'
              GROUP BY orders.stock,lflayouts.sides
         ) T2
         ON   T1.sides >= T2.sides
         AND  T1.Stock = T2.Stock
GROUP BY  T1.Stock
         ,T1.sides
Order BY  T1.Stock
         ,T1.sides

在mysql中使用sum（）over（Partition by）合并多行数据

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