我有两个MySQL表定义如下：
CREATE TABLE product_daily_summary (
date DATE,
product_id INT UNSIGNED,
orders INT NOT NULL,
sales INT NOT NULL,
PRIMARY KEY (date, product_id)
);
CREATE TABLE product_summary (
product_id INT UNSIGNED,
seven_day_orders INT NOT NULL,
seven_day_sales INT NOT NULL,
thirty_day_orders INT NOT NULL,
thirty_day_sales INT NOT NULL,
start_date date,
PRIMARY KEY (product_id)
);
每当在product_daily_summary中插入或更新记录时，我也会自动插入或更新到product_summary表。
DELIMITER $$
CREATE TRIGGER after_product_daily_summary_insert
AFTER INSERT ON product_daily_summary
FOR EACH ROW
BEGIN
INSERT INTO product_summary (product_id, seven_day_orders, seven_day_sales,
thirty_day_orders, thirty_day_sales, start_date)
VALUES (NEW.product_id, NEW.orders, NEW.sales, NEW.orders, NEW.sales, NEW.date)
ON DUPLICATE KEY UPDATE
start_date = LEAST(start_date, NEW.date),
seven_day_orders = seven_day_orders + NEW.orders,
seven_day_sales = seven_day_sales + NEW.sales,
thirty_day_orders = thirty_day_orders + NEW.orders,
thirty_day_sales = thirty_day_sales + NEW.sales;
END $$
DELIMITER ;
DELIMITER $$
CREATE TRIGGER after_product_daily_summary_update
AFTER UPDATE ON product_daily_summary
FOR EACH ROW
BEGIN
INSERT INTO product_summary (product_id, seven_day_sales, seven_day_orders,
thirty_day_sales, thirty_day_orders, start_date)
VALUES (NEW.product_id, NEW.sales, NEW.orders, NEW.sales, NEW.orders, NEW.date)
ON DUPLICATE KEY UPDATE
start_date = LEAST(start_date, NEW.date),
seven_day_sales = seven_day_sales + NEW.sales - OLD.sales,
seven_day_orders = seven_day_orders + NEW.orders - OLD.orders,
thirty_day_sales = thirty_day_sales + NEW.sales - OLD.sales,
thirty_day_orders = thirty_day_orders + NEW.orders - OLD.orders;
END $$
DELIMITER ;
product_daily_summary和product_summary的部分记录如下所示
select * from product_daily_summary;
mysql> select * from product_daily_summary;
| date | product_id | order | sales |
--------------------------------------------
| 2016-08-03 | 14169 | 46 | 1380 |
| 2016-08-03 | 18090 | 28 | 840 |
| 2016-08-03 | 37979 | 14 | 420 |
| 2016-08-03 | 75847 | 27 | 810 |
| 2016-08-03 | 99873 | 49 | 1470 |
| 2016-08-04 | 14169 | 60 | 1800 |
| 2016-08-04 | 18090 | 29 | 870 |
| 2016-08-04 | 37979 | 5 | 150 |
| 2016-08-04 | 75847 | 47 | 1410 |
| 2016-08-04 | 99873 | 14 | 420 |
| 2016-08-05 | 14169 | 29 | 870 |
| 2016-08-05 | 18090 | 47 | 1410 |
| 2016-08-05 | 37979 | 14 | 420 |
| 2016-08-05 | 75847 | 22 | 660 |
| 2016-08-05 | 99873 | 6 | 180 |
| 2016-08-06 | 14169 | 18 | 540 |
| 2016-08-06 | 18090 | 12 | 360 |
| 2016-08-06 | 37979 | 27 | 810 |
| 2016-08-06 | 75847 | 43 | 1290 |
| 2016-08-06 | 99873 | 15 | 450 |
| 2016-08-07 | 14169 | 43 | 1290 |
| 2016-08-07 | 18090 | 18 | 540 |
| 2016-08-07 | 37979 | 22 | 660 |
| 2016-08-07 | 75847 | 311 | 9330 |
| 2016-08-07 | 99873 | 54 | 1620 |
| 2016-08-08 | 14169 | 4 | 120 |
| 2016-08-08 | 18090 | 43 | 1290 |
| 2016-08-08 | 37979 | 72 | 2160 |
| 2016-08-08 | 75847 | 94 | 2820 |
| 2016-08-08 | 99873 | 5 | 150 |
| 2016-08-09 | 14169 | 105 | 3150 |
| 2016-08-09 | 18090 | 101 | 3030 |
| 2016-08-09 | 37979 | 22 | 660 |
| 2016-08-09 | 75847 | 123 | 3690 |
| 2016-08-09 | 99873 | 30 | 900 |
| 2016-08-10 | 14169 | 43 | 1290 |
| 2016-08-10 | 18090 | 22 | 660 |
| 2016-08-10 | 37979 | 153 | 4590 |
| 2016-08-10 | 75847 | 52 | 1560 |
| 2016-08-10 | 99873 | 46 | 1380 |
| 2016-08-11 | 14169 | 66 | 1980 |
| 2016-08-11 | 18090 | 18 | 540 |
| 2016-08-11 | 37979 | 26 | 780 |
| 2016-08-11 | 75847 | 11 | 330 |
| 2016-08-11 | 99873 | 54 | 1620 |
| 2016-08-12 | 14169 | 38 | 1140 |
| 2016-08-12 | 18090 | 5 | 150 |
| 2016-08-12 | 37979 | 20 | 600 |
| 2016-08-12 | 75847 | 28 | 840 |
| 2016-08-12 | 99873 | 20 | 600 |
| 2016-08-13 | 14169 | 84 | 2520 |
| 2016-08-13 | 18090 | 41 | 1230 |
| 2016-08-13 | 37979 | 90 | 2700 |
| 2016-08-13 | 75847 | 24 | 720 |
| 2016-08-13 | 99873 | 40 | 1200 |
| 2016-08-14 | 14169 | 50 | 1500 |
| 2016-08-14 | 18090 | 93 | 2790 |
| 2016-08-14 | 37979 | 16 | 480 |
| 2016-08-14 | 75847 | 33 | 990 |
| 2016-08-14 | 99873 | 61 | 1830 |
| 2016-08-15 | 14169 | 12 | 360 |
| 2016-08-15 | 18090 | 105 | 3150 |
| 2016-08-15 | 37979 | 18 | 540 |
| 2016-08-15 | 75847 | 28 | 840 |
| 2016-08-15 | 99873 | 82 | 2460 |
| 2016-08-16 | 14169 | 31 | 930 |
| 2016-08-16 | 18090 | 1 | 30 |
| 2016-08-16 | 37979 | 124 | 3720 |
| 2016-08-16 | 75847 | 61 | 1830 |
| 2016-08-16 | 99873 | 22 | 660 |
| 2016-08-17 | 14169 | 21 | 630 |
| 2016-08-17 | 18090 | 59 | 1770 |
| 2016-08-17 | 37979 | 11 | 330 |
| 2016-08-17 | 75847 | 90 | 2700 |
| 2016-08-17 | 99873 | 28 | 840 |
| 2016-08-18 | 14169 | 28 | 840 |
| 2016-08-18 | 18090 | 12 | 360 |
| 2016-08-18 | 37979 | 15 | 450 |
| 2016-08-18 | 75847 | 49 | 1470 |
| 2016-08-18 | 99873 | 20 | 600 |
| 2016-08-19 | 14169 | 66 | 1980 |
| 2016-08-19 | 18090 | 6 | 180 |
| 2016-08-19 | 37979 | 19 | 570 |
| 2016-08-19 | 75847 | 57 | 1710 |
| 2016-08-19 | 99873 | 6 | 180 |
| 2016-08-20 | 14169 | 130 | 3900 |
| 2016-08-20 | 18090 | 26 | 780 |
| 2016-08-20 | 37979 | 136 | 4080 |
| 2016-08-20 | 75847 | 29 | 870 |
| 2016-08-20 | 99873 | 1 | 30 |
| 2016-08-21 | 14169 | 89 | 2670 |
| 2016-08-21 | 18090 | 17 | 510 |
| 2016-08-21 | 37979 | 82 | 2460 |
| 2016-08-21 | 75847 | 7 | 210 |
| 2016-08-21 | 99873 | 55 | 1650 |
| 2016-08-22 | 14169 | 78 | 2340 |
| 2016-08-22 | 18090 | 10 | 300 |
| 2016-08-22 | 37979 | 3 | 90 |
| 2016-08-22 | 75847 | 27 | 810 |
| 2016-08-22 | 99873 | 29 | 870 |
| 2016-08-23 | 14169 | 38 | 1140 |
| 2016-08-23 | 18090 | 2 | 60 |
| 2016-08-23 | 37979 | 39 | 1170 |
| 2016-08-23 | 75847 | 98 | 2940 |
| 2016-08-23 | 99873 | 137 | 4110 |
| 2016-08-24 | 14169 | 69 | 2070 |
| 2016-08-24 | 18090 | 40 | 1200 |
| 2016-08-24 | 37979 | 45 | 1350 |
| 2016-08-24 | 75847 | 50 | 1500 |
| 2016-08-24 | 99873 | 35 | 1050 |
| 2016-08-25 | 14169 | 81 | 2430 |
| 2016-08-25 | 18090 | 98 | 2940 |
| 2016-08-25 | 37979 | 49 | 1470 |
| 2016-08-25 | 75847 | 19 | 570 |
| 2016-08-25 | 99873 | 34 | 1020 |
| 2016-08-26 | 14169 | 10 | 300 |
| 2016-08-26 | 18090 | 28 | 840 |
| 2016-08-26 | 37979 | 29 | 870 |
| 2016-08-26 | 75847 | 42 | 1260 |
| 2016-08-26 | 99873 | 43 | 1290 |
| 2016-08-27 | 14169 | 99 | 2970 |
| 2016-08-27 | 18090 | 46 | 1380 |
| 2016-08-27 | 37979 | 19 | 570 |
| 2016-08-27 | 75847 | 136 | 4080 |
| 2016-08-27 | 99873 | 19 | 570 |
| 2016-08-28 | 14169 | 55 | 1650 |
| 2016-08-28 | 18090 | 53 | 1590 |
| 2016-08-28 | 37979 | 84 | 2520 |
| 2016-08-28 | 75847 | 21 | 630 |
| 2016-08-28 | 99873 | 16 | 480 |
| 2016-08-29 | 14169 | 37 | 1110 |
| 2016-08-29 | 18090 | 18 | 540 |
| 2016-08-29 | 37979 | 29 | 870 |
| 2016-08-29 | 75847 | 0 | 0 |
| 2016-08-29 | 99873 | 84 | 2520 |
| 2016-08-30 | 14169 | 2 | 60 |
| 2016-08-30 | 18090 | 25 | 750 |
| 2016-08-30 | 37979 | 119 | 3570 |
| 2016-08-30 | 75847 | 40 | 1200 |
| 2016-08-30 | 99873 | 18 | 540 |
| 2016-08-31 | 14169 | 59 | 1770 |
| 2016-08-31 | 18090 | 90 | 2700 |
| 2016-08-31 | 37979 | 56 | 1680 |
| 2016-08-31 | 75847 | 12 | 360 |
| 2016-08-31 | 99873 | 169 | 5070 |
| 2016-09-01 | 14169 | 27 | 810 |
| 2016-09-01 | 18090 | 4 | 120 |
| 2016-09-01 | 37979 | 42 | 1260 |
| 2016-09-01 | 75847 | 47 | 1410 |
| 2016-09-01 | 99873 | 31 | 930 |
+------------+------------+--------+-------+
150 rows in set (0.02 sec)
mysql> select * from product_summary;
+------------+------------------+-----------------+-------------------+------------------+------------+
| product_id |seven_day_orders | seven_day_sales | thirty_day_orders | thirty_day_sales | start_date |
+------------+------------------+-----------------+-------------------+------------------+------------+
| 14169 | 1518 | 45540 | 1518 | 45540 | 2016-08-03 |
| 18090 | 1097 | 32910 | 1097 | 32910 | 2016-08-03 |
| 37979 | 1400 | 42000 | 1400 | 42000 | 2016-08-03 |
| 75847 | 1628 | 48840 | 1628 | 48840 | 2016-08-03 |
| 99873 | 1223 | 36690 | 1223 | 36690 | 2016-08-03 |
+------------+------------------+-----------------+-------------------+------------------+------------+
5 rows in set (0.03 sec)
现在我的要求是更新seven_day_orders表格中的seven_day_sales，thirty_day_orders，thirty_day_sales和product_summary列，seven_day_orders和{{ 1}}是过去7天内的seven_day_sales和sum( orders)，sum(sales)和thirty_day_sales代表销售的thirty_day_orders以及从当前日期开始的过去30天的订单。
现在我需要有效地更新sum表。我在product_summary表中有数十亿条记录。此外，如果过去7天内没有产品的销售或订单，则product_daily_summary表中的相应条目（seven_day_orders和seven_day_sales）应为零。