MySQL:移动聚合/运行总计

MySQL:移动聚合/运行总计,mysql,cumulative-sum,Mysql,Cumulative Sum,我有下面的模式和QRY来获得一个运行总数。以此为起点,如何获得移动的三天运行总计,如果行名称为2012-09-02,则运行总计应为2012-09-01+2012-09-02+2012-09-03的总计?理想的结果如下 : MySQL 5.5.32架构设置: 问题1: : 问题2: : 问题3: : 试着这样做: 编辑 当日期存在差距时,应如何计算3天的总天数?例如,根据您的样本数据2013-09-062013-09-082013-09-10?我可以通过使用零值处理缺失的天数来计算三天的总天数,但

我有下面的模式和QRY来获得一个运行总数。以此为起点,如何获得移动的三天运行总计,如果行名称为2012-09-02,则运行总计应为2012-09-01+2012-09-02+2012-09-03的总计?理想的结果如下

:

MySQL 5.5.32架构设置:

问题1:

:

问题2:

:

问题3:

:


试着这样做:

编辑


当日期存在差距时,应如何计算3天的总天数?例如,根据您的样本数据2013-09-062013-09-082013-09-10?我可以通过使用零值处理缺失的天数来计算三天的总天数,但如果我们要跳过缺失的天数,我不知道如何计算。因此,将2012年9月5日+2012年9月6日+2012年9月7日视为零值是可行的。但2012年9月5日+2012年9月6日+2012年9月8日不清楚。
| ORDER_DATE | QUANTITY | RUNNINGTOTAL |
|------------|----------|--------------|
| 2012-09-01 |       11 |           36 | -> 11 + 25
| 2012-09-02 |       25 |           86 | -> 11 + 25 + 50
| 2012-09-03 |       50 |          125 | -> 25 + 50 + 50
| 2012-09-04 |       50 |          101 | -> 50 + 50 + 1
| 2012-09-05 |        1 |          --  | 
CREATE TABLE Table1
    (`order_id` int, `order_date` varchar(10), `cust_id` int, `order_line` int, `book_id` int, `quantity` int, `order_price` int)
;

INSERT INTO Table1
    (`order_id`, `order_date`, `cust_id`, `order_line`, `book_id`, `quantity`, `order_price`)
VALUES
    (1002, '2012-09-08', 234138, 1, 1107, 11, 25.00),
    (1002, '2012-09-08', 234138, 2, 1106, 12, 25.50),
    (1003, '2012-09-08', 200368, 1, 1104, 5, 45.00),
    (1004, '2012-09-18', 221297, 1, 1106, 2, 18.25),
    (1005, '2012-09-28', 290298, 1, 1142, 2, 42.45),
    (1005, '2012-09-28', 290298, 2, 1107, 4, 21.50),
    (1006, '2012-09-28', 208950, 1, 1103, 10, 10.95),
    (1007, '2012-09-03', 276381, 1, 1448, 50, 25.00),
    (1008, '2012-09-10', 276381, 1, 1670, 50, 40.00),
    (1010, '2012-09-10', 218709, 1, 1537, 50, 25.00),
    (1011, '2012-09-10', 261502, 1, 1103, 2, 10.95),
    (1012, '2012-09-05', 260368, 1, 1128, 1, 49.95),
    (1027, '2012-09-18', 234709, 1, 2001, 21, 49.99),
    (1027, '2012-09-18', 234709, 2, 1077, 22, 10.99),
    (1028, '2012-09-20', 234709, 1, 2001, 1, 19.78),
    (1028, '2012-09-20', 234709, 2, 2002, 22, 40.00),
    (1028, '2012-09-20', 234709, 3, 2004, 1, 49.95),
    (1028, '2012-09-20', 234709, 4, 2006, 1, 46.95),
    (1030, '2012-09-22', 234709, 1, 1279, 1, 40.49),
    (1035, '2012-09-22', 221297, 1, 1689, 1, 55.19),
    (1039, '2012-09-22', 212921, 1, 1448, 1, 30.00),
    (1039, '2012-09-22', 212921, 2, 1162, 2, 34.95),
    (1040, '2012-09-28', 263119, 1, 2025, 560, 39.00),
    (1040, '2012-09-28', 263119, 2, 2018, 2, 49.99),
    (1602, '2012-09-14', 217796, 1, 1103, 2, 10.95),
    (1602, '2012-09-14', 217796, 2, 1106, 1, 29.00),
    (1603, '2012-09-10', 261502, 1, 2009, 5, 34.95),
    (1603, '2012-09-10', 261502, 3, 2007, 1, 39.00),
    (1603, '2012-09-10', 261502, 4, 2001, 1, 39.00),
    (1604, '2012-09-10', 217796, 1, 1103, 25, 10.95),
    (1604, '2012-09-10', 217796, 2, 1106, 15, 29.00),
    (1606, '2012-09-14', 217796, 1, 1106, 5, 34.95),
    (1606, '2012-09-14', 217796, 2, 1107, 5, 20.95),
    (1606, '2012-09-14', 217796, 3, 2001, 5, 39.00),
    (1610, '2012-09-15', 263119, 1, 1103, 2, 12.00),
    (1615, '2012-09-15', 261502, 1, 1103, 2, 12.00),
    (22803, '2012-09-02', 224038, 1, 1128, 25, 45.00),
    (22803, '2012-09-02', 224038, 2, 1301, 15, 45.50),
    (22803, '2012-09-02', 224038, 3, 1304, 5, 59.99),
    (22804, '2012-09-04', 239427, 1, 1304, 50, 45.00),
    (22804, '2012-09-04', 239427, 2, 1305, 50, 9.99),
    (22805, '2012-09-06', 224038, 1, 1104, 5, 45.00),
    (22805, '2012-09-06', 224038, 2, 1306, 5, 250.12),
    (22806, '2012-09-23', 239427, 1, 1107, 1, 25.00),
    (22807, '2012-09-23', 224038, 1, 1175, 1, 34.99),
    (22808, '2012-09-24', 290298, 1, 1182, 1, 45.00),
    (22809, '2012-09-25', 239427, 1, 1104, 5, 45.00),
    (22810, '2012-09-25', 218709, 1, 1678, 5, 49.99),
    (22810, '2012-09-25', 218709, 2, 1162, 5, 35.00),
    (22811, '2012-09-30', 261502, 1, 1478, 5, 45.00),
    (22812, '2012-09-30', 239427, 1, 1357, 50, 26.00),
    (22812, '2012-09-30', 239427, 2, 1425, 50, 28.09),
    (22813, '2012-09-30', 239427, 1, 1175, 1, 45.00),
    (22813, '2012-09-30', 239427, 2, 1180, 1, 49.99),
    (22813, '2012-09-30', 239427, 3, 1182, 1, 45.00),
    (22813, '2012-09-30', 239427, 4, 1184, 1, 49.99),
    (22813, '2012-09-30', 239427, 5, 1185, 1, 49.99),
    (22813, '2012-09-30', 239427, 6, 1188, 1, 49.99),
    (22813, '2012-09-30', 239427, 7, 1877, 1, 45.00),
    (22813, '2012-09-30', 239427, 8, 1175, 1, 34.90),
    (22813, '2012-09-30', 239427, 9, 1425, 1, 25.90),
    (31884, '2012-09-22', 290298, 1, 1278, 1, 48.00),
    (31884, '2012-09-22', 290298, 2, 1199, 9, 17.99),
    (31885, '2012-09-22', 217796, 1, 1448, 50, 25.00),
    (31889, '2012-09-22', 227105, 1, 1109, 18, 50.60),
    (32800, '2012-09-29', 217796, 1, 1128, 50, 25.00),
    (32890, '2012-09-01', 212921, 1, 1103, 11, 15.00),
    (32891, '2012-09-05', 212921, 1, 1142, 5, 15.00),
    (32892, '2012-09-10', 272611, 1, 2002, 5, 15.00),
    (32893, '2012-09-15', 200368, 1, 1689, 1, 55.19),
    (32894, '2012-09-18', 234138, 1, 1894, 1, 35.99),
    (32895, '2012-09-18', 218709, 1, 1689, 1, 55.19),
    (32896, '2012-09-18', 218709, 1, 1894, 1, 35.99),
    (32897, '2012-09-22', 261502, 1, 1110, 2, 50.00),
    (32898, '2012-09-22', 261502, 1, 2006, 3, 20.00),
    (32899, '2012-09-29', 261502, 1, 1128, 50, 25.00)
;

CREATE TABLE Table1
    (`OrderDate` varchar(10), `3 Day Order Count` int, `3 Day Total Quantity` int)
;

INSERT INTO Table1
    (`OrderDate`, `3 Day Order Count`, `3 Day Total Quantity`)
VALUES
    ('2012-09-01', 99, 999),
    ('2012-09-02', 99, 999),
    ('2012-09-03', 99, 999),
    ('2012-09-05', 99, 999),
    ('2012-09-06', 99, 999),
    ('2012-09-07', 99, 999)
;
set @runningorder := 0
set @runningqty := 0
select order_date
, @runningorder := @runningorder + TotalOrder as TotalOrder
, @runningqty := @runningqty + TotalQty as TotayQuantity
from (
select order_date
, count(order_id) as TotalOrder
, sum(quantity) as TotalQty
from table1
group by order_date) t1
| ORDER_DATE | TOTALORDER | TOTAYQUANTITY |
|------------|------------|---------------|
| 2012-09-01 |          1 |            11 |
| 2012-09-02 |          4 |            56 |
| 2012-09-03 |          5 |           106 |
| 2012-09-04 |          7 |           206 |
| 2012-09-05 |          9 |           212 |
| 2012-09-06 |         11 |           222 |
| 2012-09-08 |         14 |           250 |
| 2012-09-10 |         23 |           404 |
| 2012-09-14 |         28 |           422 |
| 2012-09-15 |         31 |           427 |
| 2012-09-18 |         37 |           475 |
| 2012-09-20 |         41 |           500 |
| 2012-09-22 |         51 |           588 |
| 2012-09-23 |         53 |           590 |
| 2012-09-24 |         54 |           591 |
| 2012-09-25 |         57 |           606 |
| 2012-09-28 |         62 |          1184 |
| 2012-09-29 |         64 |          1284 |
| 2012-09-30 |         76 |          1398 |
SELECT a.order_date, a.quantity, (ifnull(a.quantity, 0) +
ifnull((SELECT b.quantity FROM table1 b
        WHERE a.order_date > b.order_date
        ORDER BY order_date DESC, quantity desc LIMIT 1), 0) +
ifnull((SELECT c.quantity FROM table1 c
        WHERE a.order_date < c.order_date
        ORDER BY order_date ASC, quantity desc LIMIT 1), 0)) AS totalquantity
FROM table1 a group by a.order_date ORDER BY 1;