在 mysql 中不使用连接合并两个表?

Merging two tables without using join in mysql?

我尝试合并来自两个不同 tables.The 的值,但没有成功,第一个显示如我所愿,但第二个每次只显示第一行。

Select * From (Select date as Date, Sum(qty) as qtySum, Sum(weight) 
as weightSum From stock_list Group by date) as A,
(Select Sum(weight) as weightSum,Count(barcode)
as barcodeCount From selected_items Group by date) as B Group by date;

这是我得到的输出。

These is my selected_items table.

这是我的stock_list.

我的两个查询都是单独工作的,只有当我尝试 运行 它们在一起时我才能得到正确的输出它给第二个问题 query.Can 有人指出我的错误或告诉我更好的方法来做到这一点。 这就是我的最终 objective 是

您可以使用 join。但是,如果两个表中的日期集不相同,那么您可能需要 full outer join。但这在 MySQL 中不可用。相反:

select date, sum(qtySum), sum(weightsum1), sum(weightsum2), sum(barcodeCount)
from ((Select date as Date, Sum(qty) as qtySum, Sum(weight) as weightSum1,
              NULL as weightsum2, NULL as barcodeCount
        From stock_list
        Group by date
       ) union all
       (Select date, null, null, Sum(weight), Count(barcode) as barcodeCount 
        From selected_items
        Group by date
       )
      ) t
Group by date;

我不确定您想要的输出如何与您提供的查询相对应。但这应该按日期聚合和合并两个表中的数据,以便您可以完成查询。

如果某些日期可能不存在于两个表中,您可以使用 FULL JOIN 运算符来解决您的任务。

Select ISNULL(A.date, B.date) AS date,
       A.qtySum,
       A.weightSum,
       B.weightSum,
       B.barcodeCount
From 
    (Select date as Date, 
            Sum(qty) as qtySum, 
            Sum(weight) as weightSum 
     From stock_list 
     Group by date) as A
FULL JOIN
(Select date,
        Sum(weight) as weightSum,
        Count(barcode) as barcodeCount 
 From selected_items 
 Group by date) as B ON A.date = B.date

第一个问题是您在子查询 B 中按日期分组,但您没有 select 它,因此您的结果集可能类似于:

weightSum       barcodeCount
---------------------------
26              8
9               14
4               7

这是 3 个日期的结果,但您不知道哪一行指的是哪个日期。

你的下一个问题是你正在使用交叉连接,因为你的两个查询之间没有 link,这意味着如果你的第一个查询 returns:

Date            qtySum      weightSum
----------------------------------------
2016-01-20      1           1
2016-01-21      2           2

完成此交叉连接后,您将得到:

Date            qtySum      a.weightSum     b.weightSum     barcodeCount
--------------------------------------------------------------------------
2016-01-20      1           1               26              8
2016-01-20      1           1               9               14
2016-01-20      1           1               4               7
2016-01-21      2           2               26              8
2016-01-21      2           2               9               14
2016-01-21      2           2               4               7

所以 A 中的每一行都与 B 中的每一行相匹配,总共有 6 行。

你的第三个问题是你然后按日期分组,但不执行任何聚合,没有深入研究 SQL 标准的细则、按子句分组和函数依赖,让我们将其简化为 MySQL 允许这样做,但除非您了解限制(这在 this answer 中对此有更详细的介绍),否则您不应该这样做。 select 中不在 group by 子句中的任何内容都应该在聚合中。

因此,由于 MySQL 的 GROUP BY 扩展 select 对所有内容进行分组并仅按日期分组,您实际上是说每个日期取 1 行,但您无法控制在哪一行,它可能是上面显示的每个组的第一行,所以你会得到的结果是:

Date            qtySum      a.weightSum     b.weightSum     barcodeCount
--------------------------------------------------------------------------
2016-01-20      1           1               26              8
2016-01-21      2           2               26              8

我认为这就是为什么您最终会重复子查询 B 中的所有相同值。

所以这涵盖了错误的地方,现在开始解决方案,假设 stock_list 中的日期在 selected_items 中不存在,反之亦然,您将需要一个完整的连接, 但由于 MySQL 不支持,您必须使用 UNION,最简单的方法是:

SELECT  t.Date,
        SUM(t.StockQuantity) AS StockQuantity, 
        SUM(t.StockWeight) AS StockWeight, 
        SUM(t.SelectedWeight) AS SelectedWeight, 
        SUM(t.BarcodeCount) AS BarcodeCount
FROM    (   SELECT  date, 
                    SUM(qty) AS StockQuantity, 
                    SUM(weight) AS StockWeight, 
                    0 AS SelectedWeight, 
                    0 AS BarcodeCount
            FROM    stock_list
            GROUP BY Date
            UNION ALL
            SELECT  date, 
                    0 AS StockQuantity, 
                    0 AS StockWeight, 
                    SUM(weight) AS SelectedWeight, 
                    COUNT(BarCode) AS BarcodeCount
            FROM    selected_items
            GROUP BY Date
        ) AS t
GROUP BY t.Date;

编辑

我无法对此进行测试,也不确定您的确切逻辑,但您可以使用 variables to calculate a running total in MySQL。这应该给出如何做的想法:

SELECT  Date,
        StockQuantity,
        StockWeight,
        SelectedWeight,
        BarcodeCount,
        (@w := @w + StockWeight -  SelectedWeight) AS TotalWeight,
        (@q := @q + StockQuantity - BarcodeCount) AS TotalQuantity
FROM    (   SELECT  t.Date,
                    SUM(t.StockQuantity) AS StockQuantity, 
                    SUM(t.StockWeight) AS StockWeight, 
                    SUM(t.SelectedWeight) AS SelectedWeight, 
                    SUM(t.BarcodeCount) AS BarcodeCount
            FROM    (   SELECT  date, 
                                SUM(qty) AS StockQuantity, 
                                SUM(weight) AS StockWeight, 
                                0 AS SelectedWeight, 
                                0 AS BarcodeCount
                        FROM    stock_list
                        GROUP BY Date
                        UNION ALL
                        SELECT  date, 
                                0 AS StockQuantity, 
                                0 AS StockWeight, 
                                SUM(weight) AS SelectedWeight, 
                                COUNT(BarCode) AS BarcodeCount
                        FROM    selected_items
                        GROUP BY Date
                    ) AS t
            GROUP BY t.Date
        ) AS t
        CROSS JOIN (SELECT @w := 0, @q := 0) AS v
GROUP BY t.Date;