Question

我在sales表上有2张这样的表，其中sales.id_Location = location.id_location（这不是真实数据，只是数据假对象），id_order是交易的历史记录，createdAt是交易发生的日期，sales是金额交易量（kg），id_Location是与位置表中的id_location相关联的货运地点，由买方创建。

CREATE TABLE sales
(
    id_order VARCHAR(50) NOT NULL,
    createdAt datetime NOT NULL,
    sale DECIMAL(14,2) NOT NULL,
    id_location varchar(50) NOT NULL,
    createdby varchar(50) NOT NULL,
    PRIMARY KEY(id_order,createdAt)
);

INSERT INTO sales (id_order, createdAt, sale, id_location, createdby)
VALUES(1,'2016-02-02',100, 1, 123),
      (2,'2017-03-02',150, 2, 233),
      (3,'2018-02-02',200, 3, 234),
      (4,'2016-03-03',150, 1, 123),
      (5,'2017-03-04',100, 2, 2334),
      (6,'2018-03-05',200,3, 234),
       (7,'2016-03-10',200, 1, 233),
      (8,'2017-02-01',150, 2, 124),
      (9,'2018-02-04',250, 3, 233),
      (10,'2018-02-05',300, 2, 124);

CREATE TABLE location
(
     id_location varchar(50) NOT NULL,
     location_city varchar(50) NOT NULL
);

INSERT INTO location(id_location, location_city)
VALUES (1, 'Jakarta'),
 (2, 'Depok'),
 (3, 'Bekasi');

select * from sales;
select * from location;

这是小提琴 https://dbfiddle.uk/?rdbms=mysql_5.7&fiddle=eac3dc2845bfa425fbd576cc18c72609

在这种情况下，我使用的是mysql版本5.7，我想查找在这种情况下每个位置的销售统计信息

销售额介于'2016-02-01'至'2018-03-10'
买方（列createdby）在'2018-03-10'之前进行交易，并且至少在'2016-02-01'-'之间再次进行交易 2018-03-10'，

因此，如果买家仅进行一次交易或多次进行交易，但在“ 2016-02-01”到“ 2018-03-10”之间根本没有交易，则不计算买家而不是

基于该条件并基于数据伪数据，预期结果如下：

+----------+----------+---------+----------------+--------------------+
| Location | sale(kg) | sale(%) | count id_order | count id_order (%) |
+----------+----------+---------+----------------+--------------------+
| Jakarta  |      450 |   26,48 |              3 |              33,33 |
| Depok    |      600 |   35,30 |              3 |              33,33 |
| Bekasi   |      650 |   38,22 |              3 |              33,33 |
| TOtal    |     1700 |     100 |              9 |                100 |
+----------+----------+---------+----------------+--------------------+

这是我的SQL语句：

SELECT 
  IFNULL(location.location_city, 'Total') AS `Location`, 
  SUM(sale) AS `sale(kg)`,
  SUM(sale) / (SELECT SUM(sale) FROM sales) * 100 AS `sale (%)`, 
  COUNT(id_order) AS `count(id_order)`,
  COUNT(id_order) / (SELECT COUNT(id_order) FROM sales) * 100 AS `count(id_order) (%)`
FROM sales, location
where sales.id_location = location.id_location
and createdAt <= '2018-03-04'
and EXISTS (select 1 from sales s2, location l2 where
sales.id_location = s2.id_location
and sales.id_location = l2.id_location and
createdAt >= '2016-02-01'
and createdAt <= '2018-03-04')
GROUP BY location WITH ROLLUP
having count(createdby) > 1;

这是小提琴 https://dbfiddle.uk/?rdbms=mysql_5.7&fiddle=eac3dc2845bfa425fbd576cc18c72609

Answer 1

测试

SELECT COALESCE(location_city, 'Total') AS `Location`, 
       SUM(sale) AS `sale(kg)`,
       SUM(sale) / ANY_VALUE(totalsum) * 100 AS `sale (%)`, 
       COUNT(id_order) AS `count(id_order)`,
       COUNT(id_order) / ANY_VALUE(totalcount) * 100 AS `count(id_order) (%)`
FROM sales
NATURAL JOIN location
NATURAL JOIN ( SELECT s1.createdby
               FROM sales s1
               GROUP BY s1.createdby
               HAVING SUM(s1.createdAt BETWEEN '2016-02-01' AND '2018-03-04')
                  AND SUM(s1.createdAt <= '2018-03-04') > 1 ) clients
JOIN ( SELECT SUM(sale) totalsum, 
              COUNT(id_order) totalcount 
       FROM sales ) totals
GROUP BY location_city WITH ROLLUP

fiddle（请参见小提琴中的注释）。

总销售百分比和id_order总数应为100，因为它是针对日期范围的整体统计信息，而不是数据虚拟商品-Fachry Dzaky的总体统计信息

如果是，则必须分别计算这些总值。测试

SELECT COALESCE(location_city, 'Total') AS `Location`, 
       SUM(sale) AS `sale(kg)`,
       SUM(sale) / ANY_VALUE(totalsum) * 100 AS `sale (%)`, 
       COUNT(id_order) AS `count(id_order)`,
       COUNT(id_order) / ANY_VALUE(totalcount) * 100 AS `count(id_order) (%)`
FROM sales
NATURAL JOIN location
NATURAL JOIN ( SELECT s1.createdby
               FROM sales s1
               GROUP BY s1.createdby
               HAVING SUM(s1.createdAt BETWEEN '2016-02-01' AND '2018-03-04')
                  AND SUM(s1.createdAt <= '2018-03-04') > 1 ) clients
JOIN ( SELECT SUM(sale) totalsum, 
              COUNT(id_order) totalcount 
       FROM sales
       NATURAL JOIN ( SELECT s1.createdby
                      FROM sales s1
                      GROUP BY s1.createdby
                      HAVING SUM(s1.createdAt BETWEEN '2016-02-01' AND '2018-03-04')
                         AND SUM(s1.createdAt <= '2018-03-04') > 1 ) clients ) totals
GROUP BY location_city WITH ROLLUP

fiddle

如何根据不同表中的几种条件mysql计算百分比

1 个答案: