Mysql:如何检索基于数据的COUNT()结果

Mysql:如何检索基于数据的COUNT()结果,mysql,select,count,Mysql,Select,Count,我搞不清楚如何从MySQL数据库中检索一些数据。我有这样的疑问: inspection_report table: - Inspection_datetime - Line - Model - Lot_no - Serial_number - Shift - Range_sampling - Accesories - Acc_qty Employee table: - NIK - name SELECT DATE(A.Inspection_datetime) AS Dat

我搞不清楚如何从MySQL数据库中检索一些数据。我有这样的疑问:

inspection_report table:
 - Inspection_datetime
 - Line
 - Model
 - Lot_no
 - Serial_number
 - Shift
 - Range_sampling
 - Accesories
 - Acc_qty
Employee table:
 - NIK
 - name

SELECT DATE(A.Inspection_datetime) AS Date, A.Line,TRIM(A.Model) AS Model, A.Lot_no,
       COUNT(A.Serial_number) AS Qty,GROUP_CONCAT(DISTINCT(A.Shift)) AS Shift,
       IF(RIGHT(A.Range_sampling,4)='0000',10000,RIGHT(A.Range_sampling,4))-MID(A.Range_sampling,5,4)+1 AS Merchandise,
       A.Accesories,A.Acc_qty,A.Range_sampling,B.name
FROM inspection_report A
LEFT JOIN Employee B
ON A.NIK=B.NIK
WHERE CHAR_LENGTH(A.Range_sampling) = 17 AND A.Issue='' AND A.Check='' AND A.Approve=''  
GROUP BY A.Line, A.Model, A.Lot_no, A.Range_sampling
ORDER BY Date DESC,A.Line
我想将计数(序列号)中的数据显示为数量,其结果如下:

|Date      |Line   |Model |Lot_no| Qty|Shift|Merchandise|Accesories|Acc_qty|Range_sampling|name |
+----------+-------+------+------+----+-----+-----------+----------+-------+--------------+-----+
|2011-05-12| fa 02 |BlaBla|021A  | 20 |  A  |  200      |  OK      |11     |   1-200      |tom  |
|2011-05-12| fa 15 | foo  |021A  | 8  |  A  |  200      |  OK      |11     |   1-200      |Bill |
|2011-05-12| fa 01 | Boom |021A  | 32 |  A  |  200      |  OK      |11     |   1-200      | Jim | 
  • 数量=20
  • 数量=8
  • 数量=32
我怎样才能找回它


结果如下:

|Date      |Line   |Model |Lot_no| Qty|Shift|Merchandise|Accesories|Acc_qty|Range_sampling|name |
+----------+-------+------+------+----+-----+-----------+----------+-------+--------------+-----+
|2011-05-12| fa 02 |BlaBla|021A  | 20 |  A  |  200      |  OK      |11     |   1-200      |tom  |
|2011-05-12| fa 15 | foo  |021A  | 8  |  A  |  200      |  OK      |11     |   1-200      |Bill |
|2011-05-12| fa 01 | Boom |021A  | 32 |  A  |  200      |  OK      |11     |   1-200      | Jim | 

到目前为止,我已经试过自己使用
SELECT-inside-SELECT

SELECT X.Date,X.Line,X.Model,X.Qty,...........
FROM(
      SELECT DATE(A.Inspection_datetime) AS Date, A.Line,TRIM(A.Model) AS Model, A.Lot_no,
             COUNT(A.Serial_number) AS Qty,GROUP_CONCAT(DISTINCT(A.Shift)) AS Shift,
             IF(RIGHT(A.Range_sampling,4)='0000',10000,RIGHT(A.Range_sampling,4))-MID(A.Range_sampling,5,4)+1 AS Merchandise,
             A.Accesories,A.Acc_qty,A.Range_sampling,B.name
      FROM inspection_report A
      LEFT JOIN Employee B
      ON A.NIK=B.NIK
      WHERE CHAR_LENGTH(A.Range_sampling) = 17 
      AND A.Issue='' AND A.Check='' AND A.Approve=''  
      GROUP BY A.Line, A.Model, A.Lot_no, A.Range_sampling
      ORDER BY Date DESC,A.Line) X
WHERE X.Qty LIKE '20' OR X.Qty LIKE '8' OR X.Qty LIKE '32'
在那之后,我得到了我想要的。
或者
使用HAVING
(最简单的方法)。

在执行
分组操作后,您可以使用
HAVING
设置要保留聚合数据的条件:

SELECT DATE(A.Inspection_datetime) AS Date
     , A.Line
     , TRIM(A.Model) AS Model
     , A.Lot_no
     , COUNT(A.Serial_number) AS Qty
     , GROUP_CONCAT(DISTINCT(A.Shift)) AS Shift
     ,   IF( RIGHT(A.Range_sampling,4)='0000'
           , 10000
           , RIGHT(A.Range_sampling,4)
           )
       - MID( A.Range_sampling, 5, 4)
       + 1
       AS Merchandise
     , A.Accesories
     , A.Acc_qty
     , A.Range_sampling
     , B.name
FROM inspection_report A
    LEFT JOIN Employee B
       ON A.NIK=B.NIK
WHERE CHAR_LENGTH(A.Range_sampling) = 17 
  AND A.Issue='' 
  AND A.Check='' 
  AND A.Approve=''  
GROUP BY A.Line
       , A.Model
       , A.Lot_no
       , A.Range_sampling
HAVING COUNT(A.Serial_number) IN (20, 8, 32)
ORDER BY Date DESC
       , A.Line

最好不要像
那样使用数值字段或计算结果。这种情况:

Qty LIKE '20' OR Qty LIKE '8' OR Qty LIKE '32'
数量
为整数时可以写入:

Qty = 20 OR Qty = 8 OR Qty = 32
或相当于:

Qty IN (20, 8, 32)

请告诉您的表结构及其关系您需要使用
HAVING
(如果我正确理解这个问题)。另一件事:您确定不需要也按
A.NIK
分组吗?当表
检验报告
的某些行(属于同一组)具有不同的
NIK
时会发生什么情况?按照现在的方式,将显示一个相关的
B.name
s(或多或少是随机的)。@ypercube:不,我不需要按NIK分组。在这里之前,这就足够了。如果您知道组中的所有行都有相同的
a.NIK
,那么是的,您不需要太多。