简介

常见的聚合函数，包括 AVG、COUNT、MAX、MIN、SUM 以及
STRING_AGG。聚合函数的作用是针对一组数据行进行运算，并且返回一条汇总结果
除了聚合函数之外，SQL 还定义了许多专门用于数据分析的窗口函数（Window Function）。
不过，窗口函数不是将一组数据汇总为单个结果，而是针对每一行数据，基于和它相关的一组数
据计算出一个结果。下图演示了聚合函数和窗口函数的区别：

以下示例分别将 AVG、COUNT、SUM 作为聚合函数和窗口函数，计算员工的平均月薪、
人数总和以及月薪总和：

聚合函数通常也可以作为窗口函数，区别在于后者包含了 OVER 关键字；空括号表示将所
有数据作为整体进行分析，所以得到的数值和聚合函数一样。显然，窗口函数为每一个员工都返
回了一个结果。

窗口函数的定义

语法

window_function ( expression, ... ) OVER (
 PARTITION BY ...
 ORDER BY ...
 frame_clause
)

其中 window_function 是窗口函数的名称；expression 是函数参数，有些函数不需要参数；
OVER 子句包含三个选项：分区（PARTITION BY）、排序（ORDER BY）以及窗口大小
（frame_clause）。

分区选项（PARTITION BY）

PARTITION BY 选项用于定义分区，作用类似于 GROUP BY 的分组。如果指定了分区选项，
窗口函数将会分别针对每个分区单独进行分析；如果省略分区选项，所有的数据作为一个整体进
行分析

--按照部门进行分组，分析每个部门的平均月薪：
select 
e.first_name ,
e.last_name ,
e.department_id ,
e.salary ,
avg(e.salary) over(partition by e.department_id)
from employees e
order by e.department_id ;

部门 10 只有一个员工，平均月薪就是她自己的月薪 4400；部门 20 有两个员工，平均月薪
等于 (6000 + 13000)/2 = 9500；其他数据依次类推。

排序选项（ORDER BY）

ORDER BY 选项用于指定分区内的排序方式，通常用于数据的排名分析

--计算每个员工在部门内的入职顺序
select 
e.first_name ,
e.last_name ,
e.department_id,
e.hire_date,
rank() over (partition by e.department_id order by e.hire_date)
from employees e;

其中，PARTITION BY 选项表示按照部门进行分区；ORDER BY 选项指定在部门内按照入职先后进行排序；RANK 函数用于计算名次
ORDER BY 子句同样支持 NULLS FIRST 和 NULLS LAST 选项，用于指定空值的排序顺
序。默认为 NULLS LAST

窗口选项（frame_clause）

frame_clause 选项用于在当前分区内指定一个计算窗口。指定了窗口之后，分析函数不再基
于分区进行计算，而是基于窗口内的数据进行计算

示例数据

CREATE TABLE sales_monthly(product VARCHAR(20), ym VARCHAR(10), amount NUMERIC(10, 2));

INSERT INTO sales_monthly (product,ym,amount) VALUES ('苹果','201801',10159.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('苹果','201802',10211.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('苹果','201803',10247.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('苹果','201804',10376.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('苹果','201805',10400.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('苹果','201806',10565.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('苹果','201807',10613.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('苹果','201808',10696.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('苹果','201809',10751.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('苹果','201810',10842.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('苹果','201811',10900.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('苹果','201812',10972.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('苹果','201901',11155.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('苹果','201902',11202.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('苹果','201903',11260.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('苹果','201904',11341.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('苹果','201905',11459.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('苹果','201906',11560.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('香蕉','201801',10138.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('香蕉','201802',10194.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('香蕉','201803',10328.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('香蕉','201804',10322.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('香蕉','201805',10481.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('香蕉','201806',10502.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('香蕉','201807',10589.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('香蕉','201808',10681.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('香蕉','201809',10798.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('香蕉','201810',10829.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('香蕉','201811',10913.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('香蕉','201812',11056.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('香蕉','201901',11161.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('香蕉','201902',11173.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('香蕉','201903',11288.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('香蕉','201904',11408.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('香蕉','201905',11469.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('香蕉','201906',11528.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('桔子','201801',10154.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('桔子','201802',10183.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('桔子','201803',10245.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('桔子','201804',10325.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('桔子','201805',10465.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('桔子','201806',10505.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('桔子','201807',10578.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('桔子','201808',10680.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('桔子','201809',10788.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('桔子','201810',10838.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('桔子','201811',10942.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('桔子','201812',10988.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('桔子','201901',11099.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('桔子','201902',11181.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('桔子','201903',11302.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('桔子','201904',11327.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('桔子','201905',11423.00);
INSERT INTO sales_monthly (product,ym,amount) VALUES ('桔子','201906',11524.00);

-- 计算每个产品当当前月份的累计销量
SELECT product AS "产品", ym "年月", amount "销量",
 SUM(amount) OVER (PARTITION BY product ORDER BY ym ROWS BETWEEN UNBOUNDED
PRECEDING AND CURRENT ROW)
 FROM sales_monthly
ORDER BY product, ym;

其中，PARTITION BY 选项表示按照产品进行分区；ORDER BY 选项表示按照日期进行排
序；窗口子句 ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW 指定窗口从
当前分区的第一行开始到当前行结束；因此 SUM 函数计算的是产品累计到当前月份为止的销
量合计。

具体来说，窗口大小的常用选项如下：

{ ROWS | RANGE } frame_start
{ ROWS | RANGE } BETWEEN frame_start AND frame_end

其中，ROWS 表示以行为单位计算窗口的偏移量，RANGE 表示以数值（例如 30 分钟）为
单位计算窗口的偏移量。其中，frame_start 用于定义窗口的起始位置，可以指定以下内容之一：

• UNBOUNDED PRECEDING，窗口从分区的第一行开始，默认值
• N PRECEDING，窗口从当前行之前的第 N 行或者数值开始
• CURRENT ROW，窗口从当前行开始。
  frame_end 用于定义窗口的结束位置，可以指定以下内容之一：
• CURRENT ROW，窗口到当前行结束，默认值
• N FOLLOWING，窗口到当前行之后的第 N 行或者数值结束；
• UNBOUNDED FOLLOWING，窗口到分区的最后一行结束
  
  CURRENT ROW 表示当前正在处理的行，其他的行可以使用相对当前行的位置表示。需要
  注意，窗口的大小不会超出当前分区的范围

PostgreSQL 还提供了更多复杂的窗口选项，可以参考官网

常见的窗口函数可以分为以下几类：聚合窗口函数、排名窗口函数以及取值窗口函数。

聚合窗口函数

常用的聚合函数，例如 AVG、SUM、COUNT 等，也可以作为窗口函数使用

-- create table
CREATE TABLE sales_data(saledate DATE, product VARCHAR(20), channel VARCHAR(20), amount NUMERIC(10, 2));

-- insert data

INSERT INTO sales_data VALUES ('2019-01-01','桔子','淘宝',1864.00);
INSERT INTO sales_data VALUES ('2019-01-01','桔子','京东',1329.00);
INSERT INTO sales_data VALUES ('2019-01-01','桔子','店面',1736.00);
INSERT INTO sales_data VALUES ('2019-01-01','香蕉','淘宝',1573.00);
INSERT INTO sales_data VALUES ('2019-01-01','香蕉','京东',1364.00);
INSERT INTO sales_data VALUES ('2019-01-01','香蕉','店面',1178.00);
INSERT INTO sales_data VALUES ('2019-01-01','苹果','淘宝',511.00);
INSERT INTO sales_data VALUES ('2019-01-01','苹果','京东',568.00);
INSERT INTO sales_data VALUES ('2019-01-01','苹果','店面',847.00);
INSERT INTO sales_data VALUES ('2019-01-02','桔子','淘宝',1923.00);
INSERT INTO sales_data VALUES ('2019-01-02','桔子','京东',775.00);
INSERT INTO sales_data VALUES ('2019-01-02','桔子','店面',599.00);
INSERT INTO sales_data VALUES ('2019-01-02','香蕉','淘宝',1612.00);
INSERT INTO sales_data VALUES ('2019-01-02','香蕉','京东',1057.00);
INSERT INTO sales_data VALUES ('2019-01-02','香蕉','店面',1580.00);
INSERT INTO sales_data VALUES ('2019-01-02','苹果','淘宝',1345.00);
INSERT INTO sales_data VALUES ('2019-01-02','苹果','京东',564.00);
INSERT INTO sales_data VALUES ('2019-01-02','苹果','店面',1953.00);
INSERT INTO sales_data VALUES ('2019-01-03','桔子','淘宝',729.00);
INSERT INTO sales_data VALUES ('2019-01-03','桔子','京东',1758.00);
INSERT INTO sales_data VALUES ('2019-01-03','桔子','店面',918.00);
INSERT INTO sales_data VALUES ('2019-01-03','香蕉','淘宝',1879.00);
INSERT INTO sales_data VALUES ('2019-01-03','香蕉','京东',1142.00);
INSERT INTO sales_data VALUES ('2019-01-03','香蕉','店面',731.00);
INSERT INTO sales_data VALUES ('2019-01-03','苹果','淘宝',1329.00);
INSERT INTO sales_data VALUES ('2019-01-03','苹果','京东',1315.00);
INSERT INTO sales_data VALUES ('2019-01-03','苹果','店面',1956.00);
INSERT INTO sales_data VALUES ('2019-01-04','桔子','淘宝',547.00);
INSERT INTO sales_data VALUES ('2019-01-04','桔子','京东',1462.00);
INSERT INTO sales_data VALUES ('2019-01-04','桔子','店面',1418.00);
INSERT INTO sales_data VALUES ('2019-01-04','香蕉','淘宝',1205.00);
INSERT INTO sales_data VALUES ('2019-01-04','香蕉','京东',1326.00);
INSERT INTO sales_data VALUES ('2019-01-04','香蕉','店面',746.00);
INSERT INTO sales_data VALUES ('2019-01-04','苹果','淘宝',940.00);
INSERT INTO sales_data VALUES ('2019-01-04','苹果','京东',898.00);
INSERT INTO sales_data VALUES ('2019-01-04','苹果','店面',1610.00);
INSERT INTO sales_data VALUES ('2019-01-05','桔子','淘宝',1624.00);
INSERT INTO sales_data VALUES ('2019-01-05','桔子','京东',915.00);
INSERT INTO sales_data VALUES ('2019-01-05','桔子','店面',1683.00);
INSERT INTO sales_data VALUES ('2019-01-05','香蕉','淘宝',1970.00);
INSERT INTO sales_data VALUES ('2019-01-05','香蕉','京东',833.00);
INSERT INTO sales_data VALUES ('2019-01-05','香蕉','店面',1954.00);
INSERT INTO sales_data VALUES ('2019-01-05','苹果','淘宝',565.00);
INSERT INTO sales_data VALUES ('2019-01-05','苹果','京东',1940.00);
INSERT INTO sales_data VALUES ('2019-01-05','苹果','店面',1006.00);
INSERT INTO sales_data VALUES ('2019-01-06','桔子','淘宝',1645.00);
INSERT INTO sales_data VALUES ('2019-01-06','桔子','京东',1285.00);
INSERT INTO sales_data VALUES ('2019-01-06','桔子','店面',1069.00);
INSERT INTO sales_data VALUES ('2019-01-06','香蕉','淘宝',1593.00);
INSERT INTO sales_data VALUES ('2019-01-06','香蕉','京东',1504.00);
INSERT INTO sales_data VALUES ('2019-01-06','香蕉','店面',817.00);
INSERT INTO sales_data VALUES ('2019-01-06','苹果','淘宝',2000.00);
INSERT INTO sales_data VALUES ('2019-01-06','苹果','京东',1373.00);
INSERT INTO sales_data VALUES ('2019-01-06','苹果','店面',1450.00);
INSERT INTO sales_data VALUES ('2019-01-07','桔子','淘宝',727.00);
INSERT INTO sales_data VALUES ('2019-01-07','桔子','京东',698.00);
INSERT INTO sales_data VALUES ('2019-01-07','桔子','店面',759.00);
INSERT INTO sales_data VALUES ('2019-01-07','香蕉','淘宝',673.00);
INSERT INTO sales_data VALUES ('2019-01-07','香蕉','京东',729.00);
INSERT INTO sales_data VALUES ('2019-01-07','香蕉','店面',1706.00);
INSERT INTO sales_data VALUES ('2019-01-07','苹果','淘宝',1575.00);
INSERT INTO sales_data VALUES ('2019-01-07','苹果','京东',1419.00);
INSERT INTO sales_data VALUES ('2019-01-07','苹果','店面',1017.00);
INSERT INTO sales_data VALUES ('2019-01-08','桔子','淘宝',1811.00);
INSERT INTO sales_data VALUES ('2019-01-08','桔子','京东',1849.00);
INSERT INTO sales_data VALUES ('2019-01-08','桔子','店面',1405.00);
INSERT INTO sales_data VALUES ('2019-01-08','香蕉','淘宝',1406.00);
INSERT INTO sales_data VALUES ('2019-01-08','香蕉','京东',1453.00);
INSERT INTO sales_data VALUES ('2019-01-08','香蕉','店面',1800.00);
INSERT INTO sales_data VALUES ('2019-01-08','苹果','淘宝',1070.00);
INSERT INTO sales_data VALUES ('2019-01-08','苹果','京东',1403.00);
INSERT INTO sales_data VALUES ('2019-01-08','苹果','店面',613.00);
INSERT INTO sales_data VALUES ('2019-01-09','桔子','淘宝',1009.00);
INSERT INTO sales_data VALUES ('2019-01-09','桔子','京东',1453.00);
INSERT INTO sales_data VALUES ('2019-01-09','桔子','店面',2038.00);
INSERT INTO sales_data VALUES ('2019-01-09','香蕉','淘宝',1495.00);
INSERT INTO sales_data VALUES ('2019-01-09','香蕉','京东',1073.00);
INSERT INTO sales_data VALUES ('2019-01-09','香蕉','店面',1298.00);
INSERT INTO sales_data VALUES ('2019-01-09','苹果','淘宝',2039.00);
INSERT INTO sales_data VALUES ('2019-01-09','苹果','京东',641.00);
INSERT INTO sales_data VALUES ('2019-01-09','苹果','店面',777.00);
INSERT INTO sales_data VALUES ('2019-01-10','桔子','淘宝',836.00);
INSERT INTO sales_data VALUES ('2019-01-10','桔子','京东',621.00);
INSERT INTO sales_data VALUES ('2019-01-10','桔子','店面',1630.00);
INSERT INTO sales_data VALUES ('2019-01-10','香蕉','淘宝',1761.00);
INSERT INTO sales_data VALUES ('2019-01-10','香蕉','京东',818.00);
INSERT INTO sales_data VALUES ('2019-01-10','香蕉','店面',1797.00);
INSERT INTO sales_data VALUES ('2019-01-10','苹果','淘宝',1990.00);
INSERT INTO sales_data VALUES ('2019-01-10','苹果','京东',960.00);
INSERT INTO sales_data VALUES ('2019-01-10','苹果','店面',1997.00);
INSERT INTO sales_data VALUES ('2019-01-11','桔子','淘宝',1671.00);
INSERT INTO sales_data VALUES ('2019-01-11','桔子','京东',2010.00);
INSERT INTO sales_data VALUES ('2019-01-11','桔子','店面',1391.00);
INSERT INTO sales_data VALUES ('2019-01-11','香蕉','淘宝',658.00);
INSERT INTO sales_data VALUES ('2019-01-11','香蕉','京东',1786.00);
INSERT INTO sales_data VALUES ('2019-01-11','香蕉','店面',1205.00);
INSERT INTO sales_data VALUES ('2019-01-11','苹果','淘宝',1528.00);
INSERT INTO sales_data VALUES ('2019-01-11','苹果','京东',1158.00);
INSERT INTO sales_data VALUES ('2019-01-11','苹果','店面',623.00);
INSERT INTO sales_data VALUES ('2019-01-12','桔子','淘宝',1299.00);
INSERT INTO sales_data VALUES ('2019-01-12','桔子','京东',1698.00);
INSERT INTO sales_data VALUES ('2019-01-12','桔子','店面',1497.00);
INSERT INTO sales_data VALUES ('2019-01-12','香蕉','淘宝',1377.00);
INSERT INTO sales_data VALUES ('2019-01-12','香蕉','京东',667.00);
INSERT INTO sales_data VALUES ('2019-01-12','香蕉','店面',910.00);
INSERT INTO sales_data VALUES ('2019-01-12','苹果','淘宝',1374.00);
INSERT INTO sales_data VALUES ('2019-01-12','苹果','京东',1621.00);
INSERT INTO sales_data VALUES ('2019-01-12','苹果','店面',1443.00);
INSERT INTO sales_data VALUES ('2019-01-13','桔子','淘宝',637.00);
INSERT INTO sales_data VALUES ('2019-01-13','桔子','京东',1625.00);
INSERT INTO sales_data VALUES ('2019-01-13','桔子','店面',1548.00);
INSERT INTO sales_data VALUES ('2019-01-13','香蕉','淘宝',873.00);
INSERT INTO sales_data VALUES ('2019-01-13','香蕉','京东',1916.00);
INSERT INTO sales_data VALUES ('2019-01-13','香蕉','店面',1624.00);
INSERT INTO sales_data VALUES ('2019-01-13','苹果','淘宝',1958.00);
INSERT INTO sales_data VALUES ('2019-01-13','苹果','京东',1632.00);
INSERT INTO sales_data VALUES ('2019-01-13','苹果','店面',1897.00);
INSERT INTO sales_data VALUES ('2019-01-14','桔子','淘宝',1715.00);
INSERT INTO sales_data VALUES ('2019-01-14','桔子','京东',1582.00);
INSERT INTO sales_data VALUES ('2019-01-14','桔子','店面',817.00);
INSERT INTO sales_data VALUES ('2019-01-14','香蕉','淘宝',1667.00);
INSERT INTO sales_data VALUES ('2019-01-14','香蕉','京东',1203.00);
INSERT INTO sales_data VALUES ('2019-01-14','香蕉','店面',777.00);
INSERT INTO sales_data VALUES ('2019-01-14','苹果','淘宝',1008.00);
INSERT INTO sales_data VALUES ('2019-01-14','苹果','京东',1311.00);
INSERT INTO sales_data VALUES ('2019-01-14','苹果','店面',2013.00);
INSERT INTO sales_data VALUES ('2019-01-15','桔子','淘宝',1668.00);
INSERT INTO sales_data VALUES ('2019-01-15','桔子','京东',794.00);
INSERT INTO sales_data VALUES ('2019-01-15','桔子','店面',1126.00);
INSERT INTO sales_data VALUES ('2019-01-15','香蕉','淘宝',1741.00);
INSERT INTO sales_data VALUES ('2019-01-15','香蕉','京东',1538.00);
INSERT INTO sales_data VALUES ('2019-01-15','香蕉','店面',768.00);
INSERT INTO sales_data VALUES ('2019-01-15','苹果','淘宝',1183.00);
INSERT INTO sales_data VALUES ('2019-01-15','苹果','京东',859.00);
INSERT INTO sales_data VALUES ('2019-01-15','苹果','店面',880.00);
INSERT INTO sales_data VALUES ('2019-01-16','桔子','淘宝',1543.00);
INSERT INTO sales_data VALUES ('2019-01-16','桔子','京东',1684.00);
INSERT INTO sales_data VALUES ('2019-01-16','桔子','店面',1951.00);
INSERT INTO sales_data VALUES ('2019-01-16','香蕉','淘宝',930.00);
INSERT INTO sales_data VALUES ('2019-01-16','香蕉','京东',1760.00);
INSERT INTO sales_data VALUES ('2019-01-16','香蕉','店面',1517.00);
INSERT INTO sales_data VALUES ('2019-01-16','苹果','淘宝',1918.00);
INSERT INTO sales_data VALUES ('2019-01-16','苹果','京东',2073.00);
INSERT INTO sales_data VALUES ('2019-01-16','苹果','店面',1373.00);
INSERT INTO sales_data VALUES ('2019-01-17','桔子','淘宝',1487.00);
INSERT INTO sales_data VALUES ('2019-01-17','桔子','京东',1976.00);
INSERT INTO sales_data VALUES ('2019-01-17','桔子','店面',950.00);
INSERT INTO sales_data VALUES ('2019-01-17','香蕉','淘宝',1324.00);
INSERT INTO sales_data VALUES ('2019-01-17','香蕉','京东',1627.00);
INSERT INTO sales_data VALUES ('2019-01-17','香蕉','店面',1967.00);
INSERT INTO sales_data VALUES ('2019-01-17','苹果','淘宝',1576.00);
INSERT INTO sales_data VALUES ('2019-01-17','苹果','京东',1229.00);
INSERT INTO sales_data VALUES ('2019-01-17','苹果','店面',1105.00);
INSERT INTO sales_data VALUES ('2019-01-18','桔子','淘宝',1792.00);
INSERT INTO sales_data VALUES ('2019-01-18','桔子','京东',1676.00);
INSERT INTO sales_data VALUES ('2019-01-18','桔子','店面',1856.00);
INSERT INTO sales_data VALUES ('2019-01-18','香蕉','淘宝',1740.00);
INSERT INTO sales_data VALUES ('2019-01-18','香蕉','京东',1274.00);
INSERT INTO sales_data VALUES ('2019-01-18','香蕉','店面',2080.00);
INSERT INTO sales_data VALUES ('2019-01-18','苹果','淘宝',796.00);
INSERT INTO sales_data VALUES ('2019-01-18','苹果','京东',946.00);
INSERT INTO sales_data VALUES ('2019-01-18','苹果','店面',1548.00);
INSERT INTO sales_data VALUES ('2019-01-19','桔子','淘宝',1000.00);
INSERT INTO sales_data VALUES ('2019-01-19','桔子','京东',1563.00);
INSERT INTO sales_data VALUES ('2019-01-19','桔子','店面',1843.00);
INSERT INTO sales_data VALUES ('2019-01-19','香蕉','淘宝',1310.00);
INSERT INTO sales_data VALUES ('2019-01-19','香蕉','京东',1031.00);
INSERT INTO sales_data VALUES ('2019-01-19','香蕉','店面',1451.00);
INSERT INTO sales_data VALUES ('2019-01-19','苹果','淘宝',1186.00);
INSERT INTO sales_data VALUES ('2019-01-19','苹果','京东',1386.00);
INSERT INTO sales_data VALUES ('2019-01-19','苹果','店面',1137.00);
INSERT INTO sales_data VALUES ('2019-01-20','桔子','淘宝',633.00);
INSERT INTO sales_data VALUES ('2019-01-20','桔子','京东',1235.00);
INSERT INTO sales_data VALUES ('2019-01-20','桔子','店面',1140.00);
INSERT INTO sales_data VALUES ('2019-01-20','香蕉','淘宝',1431.00);
INSERT INTO sales_data VALUES ('2019-01-20','香蕉','京东',642.00);
INSERT INTO sales_data VALUES ('2019-01-20','香蕉','店面',1036.00);
INSERT INTO sales_data VALUES ('2019-01-20','苹果','淘宝',1801.00);
INSERT INTO sales_data VALUES ('2019-01-20','苹果','京东',1386.00);
INSERT INTO sales_data VALUES ('2019-01-20','苹果','店面',2083.00);
INSERT INTO sales_data VALUES ('2019-01-21','桔子','淘宝',1694.00);
INSERT INTO sales_data VALUES ('2019-01-21','桔子','京东',887.00);
INSERT INTO sales_data VALUES ('2019-01-21','桔子','店面',1236.00);
INSERT INTO sales_data VALUES ('2019-01-21','香蕉','淘宝',719.00);
INSERT INTO sales_data VALUES ('2019-01-21','香蕉','京东',2094.00);
INSERT INTO sales_data VALUES ('2019-01-21','香蕉','店面',828.00);
INSERT INTO sales_data VALUES ('2019-01-21','苹果','淘宝',1990.00);
INSERT INTO sales_data VALUES ('2019-01-21','苹果','京东',1749.00);
INSERT INTO sales_data VALUES ('2019-01-21','苹果','店面',1517.00);
INSERT INTO sales_data VALUES ('2019-01-22','桔子','淘宝',1990.00);
INSERT INTO sales_data VALUES ('2019-01-22','桔子','京东',1965.00);
INSERT INTO sales_data VALUES ('2019-01-22','桔子','店面',1883.00);
INSERT INTO sales_data VALUES ('2019-01-22','香蕉','淘宝',1454.00);
INSERT INTO sales_data VALUES ('2019-01-22','香蕉','京东',875.00);
INSERT INTO sales_data VALUES ('2019-01-22','香蕉','店面',1356.00);
INSERT INTO sales_data VALUES ('2019-01-22','苹果','淘宝',1207.00);
INSERT INTO sales_data VALUES ('2019-01-22','苹果','京东',1595.00);
INSERT INTO sales_data VALUES ('2019-01-22','苹果','店面',1797.00);
INSERT INTO sales_data VALUES ('2019-01-23','桔子','淘宝',2073.00);
INSERT INTO sales_data VALUES ('2019-01-23','桔子','京东',696.00);
INSERT INTO sales_data VALUES ('2019-01-23','桔子','店面',1099.00);
INSERT INTO sales_data VALUES ('2019-01-23','香蕉','淘宝',1120.00);
INSERT INTO sales_data VALUES ('2019-01-23','香蕉','京东',733.00);
INSERT INTO sales_data VALUES ('2019-01-23','香蕉','店面',1739.00);
INSERT INTO sales_data VALUES ('2019-01-23','苹果','淘宝',1665.00);
INSERT INTO sales_data VALUES ('2019-01-23','苹果','京东',1569.00);
INSERT INTO sales_data VALUES ('2019-01-23','苹果','店面',1786.00);
INSERT INTO sales_data VALUES ('2019-01-24','桔子','淘宝',2111.00);
INSERT INTO sales_data VALUES ('2019-01-24','桔子','京东',1280.00);
INSERT INTO sales_data VALUES ('2019-01-24','桔子','店面',1082.00);
INSERT INTO sales_data VALUES ('2019-01-24','香蕉','淘宝',2099.00);
INSERT INTO sales_data VALUES ('2019-01-24','香蕉','京东',874.00);
INSERT INTO sales_data VALUES ('2019-01-24','香蕉','店面',1369.00);
INSERT INTO sales_data VALUES ('2019-01-24','苹果','淘宝',1235.00);
INSERT INTO sales_data VALUES ('2019-01-24','苹果','京东',993.00);
INSERT INTO sales_data VALUES ('2019-01-24','苹果','店面',1363.00);
INSERT INTO sales_data VALUES ('2019-01-25','桔子','淘宝',1468.00);
INSERT INTO sales_data VALUES ('2019-01-25','桔子','京东',888.00);
INSERT INTO sales_data VALUES ('2019-01-25','桔子','店面',1017.00);
INSERT INTO sales_data VALUES ('2019-01-25','香蕉','淘宝',885.00);
INSERT INTO sales_data VALUES ('2019-01-25','香蕉','京东',773.00);
INSERT INTO sales_data VALUES ('2019-01-25','香蕉','店面',878.00);
INSERT INTO sales_data VALUES ('2019-01-25','苹果','淘宝',662.00);
INSERT INTO sales_data VALUES ('2019-01-25','苹果','京东',1622.00);
INSERT INTO sales_data VALUES ('2019-01-25','苹果','店面',1148.00);
INSERT INTO sales_data VALUES ('2019-01-26','桔子','淘宝',1418.00);
INSERT INTO sales_data VALUES ('2019-01-26','桔子','京东',729.00);
INSERT INTO sales_data VALUES ('2019-01-26','桔子','店面',643.00);
INSERT INTO sales_data VALUES ('2019-01-26','香蕉','淘宝',1111.00);
INSERT INTO sales_data VALUES ('2019-01-26','香蕉','京东',692.00);
INSERT INTO sales_data VALUES ('2019-01-26','香蕉','店面',728.00);
INSERT INTO sales_data VALUES ('2019-01-26','苹果','淘宝',1600.00);
INSERT INTO sales_data VALUES ('2019-01-26','苹果','京东',1202.00);
INSERT INTO sales_data VALUES ('2019-01-26','苹果','店面',851.00);
INSERT INTO sales_data VALUES ('2019-01-27','桔子','淘宝',1233.00);
INSERT INTO sales_data VALUES ('2019-01-27','桔子','京东',761.00);
INSERT INTO sales_data VALUES ('2019-01-27','桔子','店面',1816.00);
INSERT INTO sales_data VALUES ('2019-01-27','香蕉','淘宝',909.00);
INSERT INTO sales_data VALUES ('2019-01-27','香蕉','京东',757.00);
INSERT INTO sales_data VALUES ('2019-01-27','香蕉','店面',981.00);
INSERT INTO sales_data VALUES ('2019-01-27','苹果','淘宝',1376.00);
INSERT INTO sales_data VALUES ('2019-01-27','苹果','京东',741.00);
INSERT INTO sales_data VALUES ('2019-01-27','苹果','店面',1240.00);
INSERT INTO sales_data VALUES ('2019-01-28','桔子','淘宝',635.00);
INSERT INTO sales_data VALUES ('2019-01-28','桔子','京东',1366.00);
INSERT INTO sales_data VALUES ('2019-01-28','桔子','店面',1623.00);
INSERT INTO sales_data VALUES ('2019-01-28','香蕉','淘宝',1383.00);
INSERT INTO sales_data VALUES ('2019-01-28','香蕉','京东',713.00);
INSERT INTO sales_data VALUES ('2019-01-28','香蕉','店面',1891.00);
INSERT INTO sales_data VALUES ('2019-01-28','苹果','淘宝',1781.00);
INSERT INTO sales_data VALUES ('2019-01-28','苹果','京东',978.00);
INSERT INTO sales_data VALUES ('2019-01-28','苹果','店面',2044.00);
INSERT INTO sales_data VALUES ('2019-01-29','桔子','淘宝',2044.00);
INSERT INTO sales_data VALUES ('2019-01-29','桔子','京东',1026.00);
INSERT INTO sales_data VALUES ('2019-01-29','桔子','店面',1551.00);
INSERT INTO sales_data VALUES ('2019-01-29','香蕉','淘宝',1071.00);
INSERT INTO sales_data VALUES ('2019-01-29','香蕉','京东',1819.00);
INSERT INTO sales_data VALUES ('2019-01-29','香蕉','店面',1655.00);
INSERT INTO sales_data VALUES ('2019-01-29','苹果','淘宝',1089.00);
INSERT INTO sales_data VALUES ('2019-01-29','苹果','京东',805.00);
INSERT INTO sales_data VALUES ('2019-01-29','苹果','店面',1722.00);
INSERT INTO sales_data VALUES ('2019-01-30','桔子','淘宝',1197.00);
INSERT INTO sales_data VALUES ('2019-01-30','桔子','京东',1785.00);
INSERT INTO sales_data VALUES ('2019-01-30','桔子','店面',804.00);
INSERT INTO sales_data VALUES ('2019-01-30','香蕉','淘宝',1424.00);
INSERT INTO sales_data VALUES ('2019-01-30','香蕉','京东',888.00);
INSERT INTO sales_data VALUES ('2019-01-30','香蕉','店面',935.00);
INSERT INTO sales_data VALUES ('2019-01-30','苹果','淘宝',1109.00);
INSERT INTO sales_data VALUES ('2019-01-30','苹果','京东',1167.00);
INSERT INTO sales_data VALUES ('2019-01-30','苹果','店面',1062.00);
INSERT INTO sales_data VALUES ('2019-01-31','桔子','淘宝',1465.00);
INSERT INTO sales_data VALUES ('2019-01-31','桔子','京东',1918.00);
INSERT INTO sales_data VALUES ('2019-01-31','桔子','店面',1178.00);
INSERT INTO sales_data VALUES ('2019-01-31','香蕉','淘宝',2075.00);
INSERT INTO sales_data VALUES ('2019-01-31','香蕉','京东',1918.00);
INSERT INTO sales_data VALUES ('2019-01-31','香蕉','店面',1908.00);
INSERT INTO sales_data VALUES ('2019-01-31','苹果','淘宝',1563.00);
INSERT INTO sales_data VALUES ('2019-01-31','苹果','京东',1166.00);
INSERT INTO sales_data VALUES ('2019-01-31','苹果','店面',1987.00);
INSERT INTO sales_data VALUES ('2019-02-01','桔子','淘宝',1324.00);
INSERT INTO sales_data VALUES ('2019-02-01','桔子','京东',817.00);
INSERT INTO sales_data VALUES ('2019-02-01','桔子','店面',835.00);
INSERT INTO sales_data VALUES ('2019-02-01','香蕉','淘宝',1233.00);
INSERT INTO sales_data VALUES ('2019-02-01','香蕉','京东',721.00);
INSERT INTO sales_data VALUES ('2019-02-01','香蕉','店面',1221.00);
INSERT INTO sales_data VALUES ('2019-02-01','苹果','淘宝',2145.00);
INSERT INTO sales_data VALUES ('2019-02-01','苹果','京东',1152.00);
INSERT INTO sales_data VALUES ('2019-02-01','苹果','店面',900.00);
INSERT INTO sales_data VALUES ('2019-02-02','桔子','淘宝',1665.00);
INSERT INTO sales_data VALUES ('2019-02-02','桔子','京东',1606.00);
INSERT INTO sales_data VALUES ('2019-02-02','桔子','店面',1070.00);
INSERT INTO sales_data VALUES ('2019-02-02','香蕉','淘宝',1247.00);
INSERT INTO sales_data VALUES ('2019-02-02','香蕉','京东',2158.00);
INSERT INTO sales_data VALUES ('2019-02-02','香蕉','店面',709.00);
INSERT INTO sales_data VALUES ('2019-02-02','苹果','淘宝',1406.00);
INSERT INTO sales_data VALUES ('2019-02-02','苹果','京东',1437.00);
INSERT INTO sales_data VALUES ('2019-02-02','苹果','店面',952.00);
INSERT INTO sales_data VALUES ('2019-02-03','桔子','淘宝',1701.00);
INSERT INTO sales_data VALUES ('2019-02-03','桔子','京东',1906.00);
INSERT INTO sales_data VALUES ('2019-02-03','桔子','店面',1479.00);
INSERT INTO sales_data VALUES ('2019-02-03','香蕉','淘宝',2118.00);
INSERT INTO sales_data VALUES ('2019-02-03','香蕉','京东',1221.00);
INSERT INTO sales_data VALUES ('2019-02-03','香蕉','店面',1247.00);
INSERT INTO sales_data VALUES ('2019-02-03','苹果','淘宝',1146.00);
INSERT INTO sales_data VALUES ('2019-02-03','苹果','京东',1146.00);
INSERT INTO sales_data VALUES ('2019-02-03','苹果','店面',1015.00);
INSERT INTO sales_data VALUES ('2019-02-04','桔子','淘宝',909.00);
INSERT INTO sales_data VALUES ('2019-02-04','桔子','京东',2065.00);
INSERT INTO sales_data VALUES ('2019-02-04','桔子','店面',1536.00);
INSERT INTO sales_data VALUES ('2019-02-04','香蕉','淘宝',746.00);
INSERT INTO sales_data VALUES ('2019-02-04','香蕉','京东',1234.00);
INSERT INTO sales_data VALUES ('2019-02-04','香蕉','店面',1698.00);
INSERT INTO sales_data VALUES ('2019-02-04','苹果','淘宝',926.00);
INSERT INTO sales_data VALUES ('2019-02-04','苹果','京东',1812.00);
INSERT INTO sales_data VALUES ('2019-02-04','苹果','店面',1764.00);
INSERT INTO sales_data VALUES ('2019-02-05','桔子','淘宝',1497.00);
INSERT INTO sales_data VALUES ('2019-02-05','桔子','京东',1806.00);
INSERT INTO sales_data VALUES ('2019-02-05','桔子','店面',766.00);
INSERT INTO sales_data VALUES ('2019-02-05','香蕉','淘宝',1741.00);
INSERT INTO sales_data VALUES ('2019-02-05','香蕉','京东',1311.00);
INSERT INTO sales_data VALUES ('2019-02-05','香蕉','店面',1712.00);
INSERT INTO sales_data VALUES ('2019-02-05','苹果','淘宝',2151.00);
INSERT INTO sales_data VALUES ('2019-02-05','苹果','京东',1898.00);
INSERT INTO sales_data VALUES ('2019-02-05','苹果','店面',1710.00);
INSERT INTO sales_data VALUES ('2019-02-06','桔子','淘宝',705.00);
INSERT INTO sales_data VALUES ('2019-02-06','桔子','京东',1149.00);
INSERT INTO sales_data VALUES ('2019-02-06','桔子','店面',992.00);
INSERT INTO sales_data VALUES ('2019-02-06','香蕉','淘宝',997.00);
INSERT INTO sales_data VALUES ('2019-02-06','香蕉','京东',685.00);
INSERT INTO sales_data VALUES ('2019-02-06','香蕉','店面',732.00);
INSERT INTO sales_data VALUES ('2019-02-06','苹果','淘宝',1811.00);
INSERT INTO sales_data VALUES ('2019-02-06','苹果','京东',2138.00);
INSERT INTO sales_data VALUES ('2019-02-06','苹果','店面',1288.00);
INSERT INTO sales_data VALUES ('2019-02-07','桔子','淘宝',898.00);
INSERT INTO sales_data VALUES ('2019-02-07','桔子','京东',1124.00);
INSERT INTO sales_data VALUES ('2019-02-07','桔子','店面',1775.00);
INSERT INTO sales_data VALUES ('2019-02-07','香蕉','淘宝',1248.00);
INSERT INTO sales_data VALUES ('2019-02-07','香蕉','京东',1363.00);
INSERT INTO sales_data VALUES ('2019-02-07','香蕉','店面',1669.00);
INSERT INTO sales_data VALUES ('2019-02-07','苹果','淘宝',2114.00);
INSERT INTO sales_data VALUES ('2019-02-07','苹果','京东',1439.00);
INSERT INTO sales_data VALUES ('2019-02-07','苹果','店面',733.00);
INSERT INTO sales_data VALUES ('2019-02-08','桔子','淘宝',1648.00);
INSERT INTO sales_data VALUES ('2019-02-08','桔子','京东',1700.00);
INSERT INTO sales_data VALUES ('2019-02-08','桔子','店面',1880.00);
INSERT INTO sales_data VALUES ('2019-02-08','香蕉','淘宝',1241.00);
INSERT INTO sales_data VALUES ('2019-02-08','香蕉','京东',1022.00);
INSERT INTO sales_data VALUES ('2019-02-08','香蕉','店面',1511.00);
INSERT INTO sales_data VALUES ('2019-02-08','苹果','淘宝',1332.00);
INSERT INTO sales_data VALUES ('2019-02-08','苹果','京东',2088.00);
INSERT INTO sales_data VALUES ('2019-02-08','苹果','店面',2147.00);
INSERT INTO sales_data VALUES ('2019-02-09','桔子','淘宝',874.00);
INSERT INTO sales_data VALUES ('2019-02-09','桔子','京东',2069.00);
INSERT INTO sales_data VALUES ('2019-02-09','桔子','店面',1876.00);
INSERT INTO sales_data VALUES ('2019-02-09','香蕉','淘宝',1909.00);
INSERT INTO sales_data VALUES ('2019-02-09','香蕉','京东',2094.00);
INSERT INTO sales_data VALUES ('2019-02-09','香蕉','店面',845.00);
INSERT INTO sales_data VALUES ('2019-02-09','苹果','淘宝',721.00);
INSERT INTO sales_data VALUES ('2019-02-09','苹果','京东',912.00);
INSERT INTO sales_data VALUES ('2019-02-09','苹果','店面',850.00);
INSERT INTO sales_data VALUES ('2019-02-10','桔子','淘宝',778.00);
INSERT INTO sales_data VALUES ('2019-02-10','桔子','京东',2048.00);
INSERT INTO sales_data VALUES ('2019-02-10','桔子','店面',813.00);
INSERT INTO sales_data VALUES ('2019-02-10','香蕉','淘宝',1386.00);
INSERT INTO sales_data VALUES ('2019-02-10','香蕉','京东',761.00);
INSERT INTO sales_data VALUES ('2019-02-10','香蕉','店面',1252.00);
INSERT INTO sales_data VALUES ('2019-02-10','苹果','淘宝',976.00);
INSERT INTO sales_data VALUES ('2019-02-10','苹果','京东',1324.00);
INSERT INTO sales_data VALUES ('2019-02-10','苹果','店面',1930.00);
INSERT INTO sales_data VALUES ('2019-02-11','桔子','淘宝',1965.00);
INSERT INTO sales_data VALUES ('2019-02-11','桔子','京东',1258.00);
INSERT INTO sales_data VALUES ('2019-02-11','桔子','店面',1189.00);
INSERT INTO sales_data VALUES ('2019-02-11','香蕉','淘宝',2013.00);
INSERT INTO sales_data VALUES ('2019-02-11','香蕉','京东',716.00);
INSERT INTO sales_data VALUES ('2019-02-11','香蕉','店面',2199.00);
INSERT INTO sales_data VALUES ('2019-02-11','苹果','淘宝',1703.00);
INSERT INTO sales_data VALUES ('2019-02-11','苹果','京东',1267.00);
INSERT INTO sales_data VALUES ('2019-02-11','苹果','店面',1031.00);
INSERT INTO sales_data VALUES ('2019-02-12','桔子','淘宝',1029.00);
INSERT INTO sales_data VALUES ('2019-02-12','桔子','京东',1914.00);
INSERT INTO sales_data VALUES ('2019-02-12','桔子','店面',934.00);
INSERT INTO sales_data VALUES ('2019-02-12','香蕉','淘宝',986.00);
INSERT INTO sales_data VALUES ('2019-02-12','香蕉','京东',2093.00);
INSERT INTO sales_data VALUES ('2019-02-12','香蕉','店面',808.00);
INSERT INTO sales_data VALUES ('2019-02-12','苹果','淘宝',2167.00);
INSERT INTO sales_data VALUES ('2019-02-12','苹果','京东',1807.00);
INSERT INTO sales_data VALUES ('2019-02-12','苹果','店面',2207.00);
INSERT INTO sales_data VALUES ('2019-02-13','桔子','淘宝',822.00);
INSERT INTO sales_data VALUES ('2019-02-13','桔子','京东',1838.00);
INSERT INTO sales_data VALUES ('2019-02-13','桔子','店面',929.00);
INSERT INTO sales_data VALUES ('2019-02-13','香蕉','淘宝',977.00);
INSERT INTO sales_data VALUES ('2019-02-13','香蕉','京东',1916.00);
INSERT INTO sales_data VALUES ('2019-02-13','香蕉','店面',777.00);
INSERT INTO sales_data VALUES ('2019-02-13','苹果','淘宝',1091.00);
INSERT INTO sales_data VALUES ('2019-02-13','苹果','京东',1102.00);
INSERT INTO sales_data VALUES ('2019-02-13','苹果','店面',837.00);
INSERT INTO sales_data VALUES ('2019-02-14','桔子','淘宝',1648.00);
INSERT INTO sales_data VALUES ('2019-02-14','桔子','京东',1383.00);
INSERT INTO sales_data VALUES ('2019-02-14','桔子','店面',1466.00);
INSERT INTO sales_data VALUES ('2019-02-14','香蕉','淘宝',1378.00);
INSERT INTO sales_data VALUES ('2019-02-14','香蕉','京东',1144.00);
INSERT INTO sales_data VALUES ('2019-02-14','香蕉','店面',2019.00);
INSERT INTO sales_data VALUES ('2019-02-14','苹果','淘宝',1862.00);
INSERT INTO sales_data VALUES ('2019-02-14','苹果','京东',952.00);
INSERT INTO sales_data VALUES ('2019-02-14','苹果','店面',2029.00);
INSERT INTO sales_data VALUES ('2019-02-15','桔子','淘宝',1861.00);
INSERT INTO sales_data VALUES ('2019-02-15','桔子','京东',1955.00);
INSERT INTO sales_data VALUES ('2019-02-15','桔子','店面',1096.00);
INSERT INTO sales_data VALUES ('2019-02-15','香蕉','淘宝',2187.00);
INSERT INTO sales_data VALUES ('2019-02-15','香蕉','京东',774.00);
INSERT INTO sales_data VALUES ('2019-02-15','香蕉','店面',800.00);
INSERT INTO sales_data VALUES ('2019-02-15','苹果','淘宝',911.00);
INSERT INTO sales_data VALUES ('2019-02-15','苹果','京东',1050.00);
INSERT INTO sales_data VALUES ('2019-02-15','苹果','店面',2184.00);
INSERT INTO sales_data VALUES ('2019-02-16','桔子','淘宝',1013.00);
INSERT INTO sales_data VALUES ('2019-02-16','桔子','京东',1012.00);
INSERT INTO sales_data VALUES ('2019-02-16','桔子','店面',1786.00);
INSERT INTO sales_data VALUES ('2019-02-16','香蕉','淘宝',1010.00);
INSERT INTO sales_data VALUES ('2019-02-16','香蕉','京东',1119.00);
INSERT INTO sales_data VALUES ('2019-02-16','香蕉','店面',1408.00);
INSERT INTO sales_data VALUES ('2019-02-16','苹果','淘宝',1224.00);
INSERT INTO sales_data VALUES ('2019-02-16','苹果','京东',1382.00);
INSERT INTO sales_data VALUES ('2019-02-16','苹果','店面',1109.00);
INSERT INTO sales_data VALUES ('2019-02-17','桔子','淘宝',1290.00);
INSERT INTO sales_data VALUES ('2019-02-17','桔子','京东',1762.00);
INSERT INTO sales_data VALUES ('2019-02-17','桔子','店面',1501.00);
INSERT INTO sales_data VALUES ('2019-02-17','香蕉','淘宝',1413.00);
INSERT INTO sales_data VALUES ('2019-02-17','香蕉','京东',1190.00);
INSERT INTO sales_data VALUES ('2019-02-17','香蕉','店面',2165.00);
INSERT INTO sales_data VALUES ('2019-02-17','苹果','淘宝',2159.00);
INSERT INTO sales_data VALUES ('2019-02-17','苹果','京东',1848.00);
INSERT INTO sales_data VALUES ('2019-02-17','苹果','店面',1088.00);
INSERT INTO sales_data VALUES ('2019-02-18','桔子','淘宝',1963.00);
INSERT INTO sales_data VALUES ('2019-02-18','桔子','京东',1496.00);
INSERT INTO sales_data VALUES ('2019-02-18','桔子','店面',1325.00);
INSERT INTO sales_data VALUES ('2019-02-18','香蕉','淘宝',1772.00);
INSERT INTO sales_data VALUES ('2019-02-18','香蕉','京东',1132.00);
INSERT INTO sales_data VALUES ('2019-02-18','香蕉','店面',1055.00);
INSERT INTO sales_data VALUES ('2019-02-18','苹果','淘宝',2143.00);
INSERT INTO sales_data VALUES ('2019-02-18','苹果','京东',1094.00);
INSERT INTO sales_data VALUES ('2019-02-18','苹果','店面',1104.00);
INSERT INTO sales_data VALUES ('2019-02-19','桔子','淘宝',2224.00);
INSERT INTO sales_data VALUES ('2019-02-19','桔子','京东',1285.00);
INSERT INTO sales_data VALUES ('2019-02-19','桔子','店面',1434.00);
INSERT INTO sales_data VALUES ('2019-02-19','香蕉','淘宝',2182.00);
INSERT INTO sales_data VALUES ('2019-02-19','香蕉','京东',1568.00);
INSERT INTO sales_data VALUES ('2019-02-19','香蕉','店面',1716.00);
INSERT INTO sales_data VALUES ('2019-02-19','苹果','淘宝',1738.00);
INSERT INTO sales_data VALUES ('2019-02-19','苹果','京东',1848.00);
INSERT INTO sales_data VALUES ('2019-02-19','苹果','店面',2106.00);
INSERT INTO sales_data VALUES ('2019-02-20','桔子','淘宝',921.00);
INSERT INTO sales_data VALUES ('2019-02-20','桔子','京东',847.00);
INSERT INTO sales_data VALUES ('2019-02-20','桔子','店面',1262.00);
INSERT INTO sales_data VALUES ('2019-02-20','香蕉','淘宝',1300.00);
INSERT INTO sales_data VALUES ('2019-02-20','香蕉','京东',1402.00);
INSERT INTO sales_data VALUES ('2019-02-20','香蕉','店面',789.00);
INSERT INTO sales_data VALUES ('2019-02-20','苹果','淘宝',2067.00);
INSERT INTO sales_data VALUES ('2019-02-20','苹果','京东',2080.00);
INSERT INTO sales_data VALUES ('2019-02-20','苹果','店面',1244.00);
INSERT INTO sales_data VALUES ('2019-02-21','桔子','淘宝',2002.00);
INSERT INTO sales_data VALUES ('2019-02-21','桔子','京东',2009.00);
INSERT INTO sales_data VALUES ('2019-02-21','桔子','店面',863.00);
INSERT INTO sales_data VALUES ('2019-02-21','香蕉','淘宝',855.00);
INSERT INTO sales_data VALUES ('2019-02-21','香蕉','京东',1731.00);
INSERT INTO sales_data VALUES ('2019-02-21','香蕉','店面',1618.00);
INSERT INTO sales_data VALUES ('2019-02-21','苹果','淘宝',1440.00);
INSERT INTO sales_data VALUES ('2019-02-21','苹果','京东',1263.00);
INSERT INTO sales_data VALUES ('2019-02-21','苹果','店面',2010.00);
INSERT INTO sales_data VALUES ('2019-02-22','桔子','淘宝',1761.00);
INSERT INTO sales_data VALUES ('2019-02-22','桔子','京东',1171.00);
INSERT INTO sales_data VALUES ('2019-02-22','桔子','店面',869.00);
INSERT INTO sales_data VALUES ('2019-02-22','香蕉','淘宝',2125.00);
INSERT INTO sales_data VALUES ('2019-02-22','香蕉','京东',1150.00);
INSERT INTO sales_data VALUES ('2019-02-22','香蕉','店面',1409.00);
INSERT INTO sales_data VALUES ('2019-02-22','苹果','淘宝',1314.00);
INSERT INTO sales_data VALUES ('2019-02-22','苹果','京东',1087.00);
INSERT INTO sales_data VALUES ('2019-02-22','苹果','店面',2232.00);
INSERT INTO sales_data VALUES ('2019-02-23','桔子','淘宝',790.00);
INSERT INTO sales_data VALUES ('2019-02-23','桔子','京东',2085.00);
INSERT INTO sales_data VALUES ('2019-02-23','桔子','店面',1840.00);
INSERT INTO sales_data VALUES ('2019-02-23','香蕉','淘宝',2151.00);
INSERT INTO sales_data VALUES ('2019-02-23','香蕉','京东',2257.00);
INSERT INTO sales_data VALUES ('2019-02-23','香蕉','店面',1937.00);
INSERT INTO sales_data VALUES ('2019-02-23','苹果','淘宝',1163.00);
INSERT INTO sales_data VALUES ('2019-02-23','苹果','京东',1307.00);
INSERT INTO sales_data VALUES ('2019-02-23','苹果','店面',1089.00);
INSERT INTO sales_data VALUES ('2019-02-24','桔子','淘宝',1208.00);
INSERT INTO sales_data VALUES ('2019-02-24','桔子','京东',1129.00);
INSERT INTO sales_data VALUES ('2019-02-24','桔子','店面',924.00);
INSERT INTO sales_data VALUES ('2019-02-24','香蕉','淘宝',1702.00);
INSERT INTO sales_data VALUES ('2019-02-24','香蕉','京东',875.00);
INSERT INTO sales_data VALUES ('2019-02-24','香蕉','店面',2178.00);
INSERT INTO sales_data VALUES ('2019-02-24','苹果','淘宝',1810.00);
INSERT INTO sales_data VALUES ('2019-02-24','苹果','京东',975.00);
INSERT INTO sales_data VALUES ('2019-02-24','苹果','店面',1655.00);
INSERT INTO sales_data VALUES ('2019-02-25','桔子','淘宝',1178.00);
INSERT INTO sales_data VALUES ('2019-02-25','桔子','京东',1666.00);
INSERT INTO sales_data VALUES ('2019-02-25','桔子','店面',2168.00);
INSERT INTO sales_data VALUES ('2019-02-25','香蕉','淘宝',933.00);
INSERT INTO sales_data VALUES ('2019-02-25','香蕉','京东',1166.00);
INSERT INTO sales_data VALUES ('2019-02-25','香蕉','店面',1079.00);
INSERT INTO sales_data VALUES ('2019-02-25','苹果','淘宝',1042.00);
INSERT INTO sales_data VALUES ('2019-02-25','苹果','京东',1031.00);
INSERT INTO sales_data VALUES ('2019-02-25','苹果','店面',1469.00);
INSERT INTO sales_data VALUES ('2019-02-26','桔子','淘宝',1695.00);
INSERT INTO sales_data VALUES ('2019-02-26','桔子','京东',1590.00);
INSERT INTO sales_data VALUES ('2019-02-26','桔子','店面',1802.00);
INSERT INTO sales_data VALUES ('2019-02-26','香蕉','淘宝',1667.00);
INSERT INTO sales_data VALUES ('2019-02-26','香蕉','京东',1615.00);
INSERT INTO sales_data VALUES ('2019-02-26','香蕉','店面',1622.00);
INSERT INTO sales_data VALUES ('2019-02-26','苹果','淘宝',1242.00);
INSERT INTO sales_data VALUES ('2019-02-26','苹果','京东',1501.00);
INSERT INTO sales_data VALUES ('2019-02-26','苹果','店面',1614.00);
INSERT INTO sales_data VALUES ('2019-02-27','桔子','淘宝',919.00);
INSERT INTO sales_data VALUES ('2019-02-27','桔子','京东',1904.00);
INSERT INTO sales_data VALUES ('2019-02-27','桔子','店面',2161.00);
INSERT INTO sales_data VALUES ('2019-02-27','香蕉','淘宝',1243.00);
INSERT INTO sales_data VALUES ('2019-02-27','香蕉','京东',842.00);
INSERT INTO sales_data VALUES ('2019-02-27','香蕉','店面',1019.00);
INSERT INTO sales_data VALUES ('2019-02-27','苹果','淘宝',1397.00);
INSERT INTO sales_data VALUES ('2019-02-27','苹果','京东',1774.00);
INSERT INTO sales_data VALUES ('2019-02-27','苹果','店面',1125.00);
INSERT INTO sales_data VALUES ('2019-02-28','桔子','淘宝',1310.00);
INSERT INTO sales_data VALUES ('2019-02-28','桔子','京东',1319.00);
INSERT INTO sales_data VALUES ('2019-02-28','桔子','店面',1335.00);
INSERT INTO sales_data VALUES ('2019-02-28','香蕉','淘宝',2195.00);
INSERT INTO sales_data VALUES ('2019-02-28','香蕉','京东',1721.00);
INSERT INTO sales_data VALUES ('2019-02-28','香蕉','店面',2226.00);
INSERT INTO sales_data VALUES ('2019-02-28','苹果','淘宝',2088.00);
INSERT INTO sales_data VALUES ('2019-02-28','苹果','京东',1879.00);
INSERT INTO sales_data VALUES ('2019-02-28','苹果','店面',1117.00);
INSERT INTO sales_data VALUES ('2019-03-01','桔子','淘宝',897.00);
INSERT INTO sales_data VALUES ('2019-03-01','桔子','京东',2151.00);
INSERT INTO sales_data VALUES ('2019-03-01','桔子','店面',1378.00);
INSERT INTO sales_data VALUES ('2019-03-01','香蕉','淘宝',1591.00);
INSERT INTO sales_data VALUES ('2019-03-01','香蕉','京东',1566.00);
INSERT INTO sales_data VALUES ('2019-03-01','香蕉','店面',2187.00);
INSERT INTO sales_data VALUES ('2019-03-01','苹果','淘宝',1113.00);
INSERT INTO sales_data VALUES ('2019-03-01','苹果','京东',953.00);
INSERT INTO sales_data VALUES ('2019-03-01','苹果','店面',1522.00);
INSERT INTO sales_data VALUES ('2019-03-02','桔子','淘宝',1960.00);
INSERT INTO sales_data VALUES ('2019-03-02','桔子','京东',1420.00);
INSERT INTO sales_data VALUES ('2019-03-02','桔子','店面',2248.00);
INSERT INTO sales_data VALUES ('2019-03-02','香蕉','淘宝',1294.00);
INSERT INTO sales_data VALUES ('2019-03-02','香蕉','京东',1554.00);
INSERT INTO sales_data VALUES ('2019-03-02','香蕉','店面',1868.00);
INSERT INTO sales_data VALUES ('2019-03-02','苹果','淘宝',1169.00);
INSERT INTO sales_data VALUES ('2019-03-02','苹果','京东',2012.00);
INSERT INTO sales_data VALUES ('2019-03-02','苹果','店面',1924.00);
INSERT INTO sales_data VALUES ('2019-03-03','桔子','淘宝',1409.00);
INSERT INTO sales_data VALUES ('2019-03-03','桔子','京东',1129.00);
INSERT INTO sales_data VALUES ('2019-03-03','桔子','店面',1418.00);
INSERT INTO sales_data VALUES ('2019-03-03','香蕉','淘宝',1748.00);
INSERT INTO sales_data VALUES ('2019-03-03','香蕉','京东',1649.00);
INSERT INTO sales_data VALUES ('2019-03-03','香蕉','店面',1947.00);
INSERT INTO sales_data VALUES ('2019-03-03','苹果','淘宝',2294.00);
INSERT INTO sales_data VALUES ('2019-03-03','苹果','京东',1554.00);
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INSERT INTO sales_data VALUES ('2019-03-04','桔子','淘宝',2234.00);
INSERT INTO sales_data VALUES ('2019-03-04','桔子','京东',1357.00);
INSERT INTO sales_data VALUES ('2019-03-04','桔子','店面',972.00);
INSERT INTO sales_data VALUES ('2019-03-04','香蕉','淘宝',1061.00);
INSERT INTO sales_data VALUES ('2019-03-04','香蕉','京东',1459.00);
INSERT INTO sales_data VALUES ('2019-03-04','香蕉','店面',828.00);
INSERT INTO sales_data VALUES ('2019-03-04','苹果','淘宝',1644.00);
INSERT INTO sales_data VALUES ('2019-03-04','苹果','京东',2255.00);
INSERT INTO sales_data VALUES ('2019-03-04','苹果','店面',1599.00);
INSERT INTO sales_data VALUES ('2019-03-05','桔子','淘宝',1542.00);
INSERT INTO sales_data VALUES ('2019-03-05','桔子','京东',1078.00);
INSERT INTO sales_data VALUES ('2019-03-05','桔子','店面',1762.00);
INSERT INTO sales_data VALUES ('2019-03-05','香蕉','淘宝',2269.00);
INSERT INTO sales_data VALUES ('2019-03-05','香蕉','京东',2238.00);
INSERT INTO sales_data VALUES ('2019-03-05','香蕉','店面',882.00);
INSERT INTO sales_data VALUES ('2019-03-05','苹果','淘宝',2217.00);
INSERT INTO sales_data VALUES ('2019-03-05','苹果','京东',1232.00);
INSERT INTO sales_data VALUES ('2019-03-05','苹果','店面',1636.00);
INSERT INTO sales_data VALUES ('2019-03-06','桔子','淘宝',1790.00);
INSERT INTO sales_data VALUES ('2019-03-06','桔子','京东',1606.00);
INSERT INTO sales_data VALUES ('2019-03-06','桔子','店面',1352.00);
INSERT INTO sales_data VALUES ('2019-03-06','香蕉','淘宝',1414.00);
INSERT INTO sales_data VALUES ('2019-03-06','香蕉','京东',2210.00);
INSERT INTO sales_data VALUES ('2019-03-06','香蕉','店面',1676.00);
INSERT INTO sales_data VALUES ('2019-03-06','苹果','淘宝',2028.00);
INSERT INTO sales_data VALUES ('2019-03-06','苹果','京东',1653.00);
INSERT INTO sales_data VALUES ('2019-03-06','苹果','店面',1020.00);
INSERT INTO sales_data VALUES ('2019-03-07','桔子','淘宝',1675.00);
INSERT INTO sales_data VALUES ('2019-03-07','桔子','京东',1647.00);
INSERT INTO sales_data VALUES ('2019-03-07','桔子','店面',1775.00);
INSERT INTO sales_data VALUES ('2019-03-07','香蕉','淘宝',2248.00);
INSERT INTO sales_data VALUES ('2019-03-07','香蕉','京东',1571.00);
INSERT INTO sales_data VALUES ('2019-03-07','香蕉','店面',2321.00);
INSERT INTO sales_data VALUES ('2019-03-07','苹果','淘宝',910.00);
INSERT INTO sales_data VALUES ('2019-03-07','苹果','京东',1822.00);
INSERT INTO sales_data VALUES ('2019-03-07','苹果','店面',1470.00);
INSERT INTO sales_data VALUES ('2019-03-08','桔子','淘宝',933.00);
INSERT INTO sales_data VALUES ('2019-03-08','桔子','京东',1161.00);
INSERT INTO sales_data VALUES ('2019-03-08','桔子','店面',1420.00);
INSERT INTO sales_data VALUES ('2019-03-08','香蕉','淘宝',1722.00);
INSERT INTO sales_data VALUES ('2019-03-08','香蕉','京东',1888.00);
INSERT INTO sales_data VALUES ('2019-03-08','香蕉','店面',1683.00);
INSERT INTO sales_data VALUES ('2019-03-08','苹果','淘宝',1169.00);
INSERT INTO sales_data VALUES ('2019-03-08','苹果','京东',1842.00);
INSERT INTO sales_data VALUES ('2019-03-08','苹果','店面',1606.00);
INSERT INTO sales_data VALUES ('2019-03-09','桔子','淘宝',1241.00);
INSERT INTO sales_data VALUES ('2019-03-09','桔子','京东',1749.00);
INSERT INTO sales_data VALUES ('2019-03-09','桔子','店面',2028.00);
INSERT INTO sales_data VALUES ('2019-03-09','香蕉','淘宝',2061.00);
INSERT INTO sales_data VALUES ('2019-03-09','香蕉','京东',1219.00);
INSERT INTO sales_data VALUES ('2019-03-09','香蕉','店面',1314.00);
INSERT INTO sales_data VALUES ('2019-03-09','苹果','淘宝',1094.00);
INSERT INTO sales_data VALUES ('2019-03-09','苹果','京东',1813.00);
INSERT INTO sales_data VALUES ('2019-03-09','苹果','店面',1203.00);
INSERT INTO sales_data VALUES ('2019-03-10','桔子','淘宝',1955.00);
INSERT INTO sales_data VALUES ('2019-03-10','桔子','京东',1526.00);
INSERT INTO sales_data VALUES ('2019-03-10','桔子','店面',2041.00);
INSERT INTO sales_data VALUES ('2019-03-10','香蕉','淘宝',2155.00);
INSERT INTO sales_data VALUES ('2019-03-10','香蕉','京东',875.00);
INSERT INTO sales_data VALUES ('2019-03-10','香蕉','店面',1363.00);
INSERT INTO sales_data VALUES ('2019-03-10','苹果','淘宝',1605.00);
INSERT INTO sales_data VALUES ('2019-03-10','苹果','京东',2298.00);
INSERT INTO sales_data VALUES ('2019-03-10','苹果','店面',2109.00);
INSERT INTO sales_data VALUES ('2019-03-11','桔子','淘宝',1606.00);
INSERT INTO sales_data VALUES ('2019-03-11','桔子','京东',888.00);
INSERT INTO sales_data VALUES ('2019-03-11','桔子','店面',1611.00);
INSERT INTO sales_data VALUES ('2019-03-11','香蕉','淘宝',2251.00);
INSERT INTO sales_data VALUES ('2019-03-11','香蕉','京东',991.00);
INSERT INTO sales_data VALUES ('2019-03-11','香蕉','店面',1942.00);
INSERT INTO sales_data VALUES ('2019-03-11','苹果','淘宝',1341.00);
INSERT INTO sales_data VALUES ('2019-03-11','苹果','京东',1883.00);
INSERT INTO sales_data VALUES ('2019-03-11','苹果','店面',1500.00);
INSERT INTO sales_data VALUES ('2019-03-12','桔子','淘宝',2199.00);
INSERT INTO sales_data VALUES ('2019-03-12','桔子','京东',2226.00);
INSERT INTO sales_data VALUES ('2019-03-12','桔子','店面',1017.00);
INSERT INTO sales_data VALUES ('2019-03-12','香蕉','淘宝',1476.00);
INSERT INTO sales_data VALUES ('2019-03-12','香蕉','京东',1132.00);
INSERT INTO sales_data VALUES ('2019-03-12','香蕉','店面',1931.00);
INSERT INTO sales_data VALUES ('2019-03-12','苹果','淘宝',1168.00);
INSERT INTO sales_data VALUES ('2019-03-12','苹果','京东',858.00);
INSERT INTO sales_data VALUES ('2019-03-12','苹果','店面',2314.00);
INSERT INTO sales_data VALUES ('2019-03-13','桔子','淘宝',1652.00);
INSERT INTO sales_data VALUES ('2019-03-13','桔子','京东',1122.00);
INSERT INTO sales_data VALUES ('2019-03-13','桔子','店面',1797.00);
INSERT INTO sales_data VALUES ('2019-03-13','香蕉','淘宝',2020.00);
INSERT INTO sales_data VALUES ('2019-03-13','香蕉','京东',2237.00);
INSERT INTO sales_data VALUES ('2019-03-13','香蕉','店面',983.00);
INSERT INTO sales_data VALUES ('2019-03-13','苹果','淘宝',1721.00);
INSERT INTO sales_data VALUES ('2019-03-13','苹果','京东',2053.00);
INSERT INTO sales_data VALUES ('2019-03-13','苹果','店面',1018.00);
INSERT INTO sales_data VALUES ('2019-03-14','桔子','淘宝',2249.00);
INSERT INTO sales_data VALUES ('2019-03-14','桔子','京东',1323.00);
INSERT INTO sales_data VALUES ('2019-03-14','桔子','店面',982.00);
INSERT INTO sales_data VALUES ('2019-03-14','香蕉','淘宝',2018.00);
INSERT INTO sales_data VALUES ('2019-03-14','香蕉','京东',2084.00);
INSERT INTO sales_data VALUES ('2019-03-14','香蕉','店面',1025.00);
INSERT INTO sales_data VALUES ('2019-03-14','苹果','淘宝',1284.00);
INSERT INTO sales_data VALUES ('2019-03-14','苹果','京东',1990.00);
INSERT INTO sales_data VALUES ('2019-03-14','苹果','店面',1171.00);
INSERT INTO sales_data VALUES ('2019-03-15','桔子','淘宝',886.00);
INSERT INTO sales_data VALUES ('2019-03-15','桔子','京东',992.00);
INSERT INTO sales_data VALUES ('2019-03-15','桔子','店面',2214.00);
INSERT INTO sales_data VALUES ('2019-03-15','香蕉','淘宝',1541.00);
INSERT INTO sales_data VALUES ('2019-03-15','香蕉','京东',2341.00);
INSERT INTO sales_data VALUES ('2019-03-15','香蕉','店面',2090.00);
INSERT INTO sales_data VALUES ('2019-03-15','苹果','淘宝',1708.00);
INSERT INTO sales_data VALUES ('2019-03-15','苹果','京东',1467.00);
INSERT INTO sales_data VALUES ('2019-03-15','苹果','店面',872.00);
INSERT INTO sales_data VALUES ('2019-03-16','桔子','淘宝',1293.00);
INSERT INTO sales_data VALUES ('2019-03-16','桔子','京东',1790.00);
INSERT INTO sales_data VALUES ('2019-03-16','桔子','店面',885.00);
INSERT INTO sales_data VALUES ('2019-03-16','香蕉','淘宝',1258.00);
INSERT INTO sales_data VALUES ('2019-03-16','香蕉','京东',1087.00);
INSERT INTO sales_data VALUES ('2019-03-16','香蕉','店面',1153.00);
INSERT INTO sales_data VALUES ('2019-03-16','苹果','淘宝',2200.00);
INSERT INTO sales_data VALUES ('2019-03-16','苹果','京东',2252.00);
INSERT INTO sales_data VALUES ('2019-03-16','苹果','店面',1035.00);
INSERT INTO sales_data VALUES ('2019-03-17','桔子','淘宝',2333.00);
INSERT INTO sales_data VALUES ('2019-03-17','桔子','京东',1624.00);
INSERT INTO sales_data VALUES ('2019-03-17','桔子','店面',2238.00);
INSERT INTO sales_data VALUES ('2019-03-17','香蕉','淘宝',996.00);
INSERT INTO sales_data VALUES ('2019-03-17','香蕉','京东',1513.00);
INSERT INTO sales_data VALUES ('2019-03-17','香蕉','店面',1200.00);
INSERT INTO sales_data VALUES ('2019-03-17','苹果','淘宝',1118.00);
INSERT INTO sales_data VALUES ('2019-03-17','苹果','京东',1171.00);
INSERT INTO sales_data VALUES ('2019-03-17','苹果','店面',924.00);
INSERT INTO sales_data VALUES ('2019-03-18','桔子','淘宝',1288.00);
INSERT INTO sales_data VALUES ('2019-03-18','桔子','京东',1600.00);
INSERT INTO sales_data VALUES ('2019-03-18','桔子','店面',2059.00);
INSERT INTO sales_data VALUES ('2019-03-18','香蕉','淘宝',1599.00);
INSERT INTO sales_data VALUES ('2019-03-18','香蕉','京东',1622.00);
INSERT INTO sales_data VALUES ('2019-03-18','香蕉','店面',2186.00);
INSERT INTO sales_data VALUES ('2019-03-18','苹果','淘宝',1448.00);
INSERT INTO sales_data VALUES ('2019-03-18','苹果','京东',2298.00);
INSERT INTO sales_data VALUES ('2019-03-18','苹果','店面',2162.00);
INSERT INTO sales_data VALUES ('2019-03-19','桔子','淘宝',1178.00);
INSERT INTO sales_data VALUES ('2019-03-19','桔子','京东',1646.00);
INSERT INTO sales_data VALUES ('2019-03-19','桔子','店面',1268.00);
INSERT INTO sales_data VALUES ('2019-03-19','香蕉','淘宝',1185.00);
INSERT INTO sales_data VALUES ('2019-03-19','香蕉','京东',2069.00);
INSERT INTO sales_data VALUES ('2019-03-19','香蕉','店面',2188.00);
INSERT INTO sales_data VALUES ('2019-03-19','苹果','淘宝',1200.00);
INSERT INTO sales_data VALUES ('2019-03-19','苹果','京东',957.00);
INSERT INTO sales_data VALUES ('2019-03-19','苹果','店面',905.00);
INSERT INTO sales_data VALUES ('2019-03-20','桔子','淘宝',1488.00);
INSERT INTO sales_data VALUES ('2019-03-20','桔子','京东',2292.00);
INSERT INTO sales_data VALUES ('2019-03-20','桔子','店面',2292.00);
INSERT INTO sales_data VALUES ('2019-03-20','香蕉','淘宝',1653.00);
INSERT INTO sales_data VALUES ('2019-03-20','香蕉','京东',2250.00);
INSERT INTO sales_data VALUES ('2019-03-20','香蕉','店面',1540.00);
INSERT INTO sales_data VALUES ('2019-03-20','苹果','淘宝',1516.00);
INSERT INTO sales_data VALUES ('2019-03-20','苹果','京东',2371.00);
INSERT INTO sales_data VALUES ('2019-03-20','苹果','店面',2178.00);
INSERT INTO sales_data VALUES ('2019-03-21','桔子','淘宝',1846.00);
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INSERT INTO sales_data VALUES ('2019-03-28','香蕉','京东',2009.00);
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INSERT INTO sales_data VALUES ('2019-03-31','桔子','京东',1997.00);
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INSERT INTO sales_data VALUES ('2019-04-03','香蕉','店面',1200.00);
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INSERT INTO sales_data VALUES ('2019-04-04','香蕉','淘宝',1968.00);
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INSERT INTO sales_data VALUES ('2019-04-05','苹果','淘宝',1979.00);
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INSERT INTO sales_data VALUES ('2019-04-07','香蕉','淘宝',1111.00);
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INSERT INTO sales_data VALUES ('2019-04-12','桔子','京东',1983.00);
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INSERT INTO sales_data VALUES ('2019-04-12','香蕉','京东',1015.00);
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INSERT INTO sales_data VALUES ('2019-04-13','苹果','淘宝',2025.00);
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INSERT INTO sales_data VALUES ('2019-04-16','苹果','淘宝',1579.00);
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INSERT INTO sales_data VALUES ('2019-04-17','香蕉','京东',1978.00);
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INSERT INTO sales_data VALUES ('2019-04-17','苹果','淘宝',1564.00);
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INSERT INTO sales_data VALUES ('2019-04-18','苹果','淘宝',2357.00);
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INSERT INTO sales_data VALUES ('2019-04-19','桔子','淘宝',1868.00);
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INSERT INTO sales_data VALUES ('2019-04-19','苹果','淘宝',2245.00);
INSERT INTO sales_data VALUES ('2019-04-19','苹果','京东',2198.00);
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INSERT INTO sales_data VALUES ('2019-04-20','香蕉','淘宝',2086.00);
INSERT INTO sales_data VALUES ('2019-04-20','香蕉','京东',1791.00);
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INSERT INTO sales_data VALUES ('2019-04-20','苹果','淘宝',2012.00);
INSERT INTO sales_data VALUES ('2019-04-20','苹果','京东',2274.00);
INSERT INTO sales_data VALUES ('2019-04-20','苹果','店面',2415.00);
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INSERT INTO sales_data VALUES ('2019-04-21','香蕉','淘宝',1471.00);
INSERT INTO sales_data VALUES ('2019-04-21','香蕉','京东',1482.00);
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INSERT INTO sales_data VALUES ('2019-04-21','苹果','淘宝',2104.00);
INSERT INTO sales_data VALUES ('2019-04-21','苹果','京东',1276.00);
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INSERT INTO sales_data VALUES ('2019-04-22','桔子','京东',1102.00);
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INSERT INTO sales_data VALUES ('2019-04-22','香蕉','淘宝',2230.00);
INSERT INTO sales_data VALUES ('2019-04-22','香蕉','京东',1930.00);
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INSERT INTO sales_data VALUES ('2019-04-23','香蕉','淘宝',1984.00);
INSERT INTO sales_data VALUES ('2019-04-23','香蕉','京东',2256.00);
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INSERT INTO sales_data VALUES ('2019-04-25','桔子','淘宝',1899.00);
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INSERT INTO sales_data VALUES ('2019-04-26','苹果','淘宝',1817.00);
INSERT INTO sales_data VALUES ('2019-04-26','苹果','京东',1969.00);
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INSERT INTO sales_data VALUES ('2019-04-27','香蕉','淘宝',1952.00);
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INSERT INTO sales_data VALUES ('2019-04-27','苹果','京东',2496.00);
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INSERT INTO sales_data VALUES ('2019-04-28','苹果','淘宝',1505.00);
INSERT INTO sales_data VALUES ('2019-04-28','苹果','京东',1827.00);
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INSERT INTO sales_data VALUES ('2019-04-29','苹果','京东',2467.00);
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INSERT INTO sales_data VALUES ('2019-04-30','香蕉','淘宝',2390.00);
INSERT INTO sales_data VALUES ('2019-04-30','香蕉','京东',2148.00);
INSERT INTO sales_data VALUES ('2019-04-30','香蕉','店面',1910.00);
INSERT INTO sales_data VALUES ('2019-04-30','苹果','淘宝',2476.00);
INSERT INTO sales_data VALUES ('2019-04-30','苹果','京东',1520.00);
INSERT INTO sales_data VALUES ('2019-04-30','苹果','店面',2098.00);
INSERT INTO sales_data VALUES ('2019-05-01','桔子','淘宝',1270.00);
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INSERT INTO sales_data VALUES ('2019-05-01','桔子','店面',2019.00);
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INSERT INTO sales_data VALUES ('2019-05-01','苹果','淘宝',1700.00);
INSERT INTO sales_data VALUES ('2019-05-01','苹果','京东',1865.00);
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INSERT INTO sales_data VALUES ('2019-05-02','香蕉','淘宝',2021.00);
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INSERT INTO sales_data VALUES ('2019-05-02','香蕉','店面',2563.00);
INSERT INTO sales_data VALUES ('2019-05-02','苹果','淘宝',1977.00);
INSERT INTO sales_data VALUES ('2019-05-02','苹果','京东',1410.00);
INSERT INTO sales_data VALUES ('2019-05-02','苹果','店面',1177.00);
INSERT INTO sales_data VALUES ('2019-05-03','桔子','淘宝',1602.00);
INSERT INTO sales_data VALUES ('2019-05-03','桔子','京东',2209.00);
INSERT INTO sales_data VALUES ('2019-05-03','桔子','店面',2559.00);
INSERT INTO sales_data VALUES ('2019-05-03','香蕉','淘宝',1192.00);
INSERT INTO sales_data VALUES ('2019-05-03','香蕉','京东',1156.00);
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INSERT INTO sales_data VALUES ('2019-05-03','苹果','淘宝',1677.00);
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INSERT INTO sales_data VALUES ('2019-05-03','苹果','店面',1231.00);
INSERT INTO sales_data VALUES ('2019-05-04','桔子','淘宝',2496.00);
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INSERT INTO sales_data VALUES ('2019-05-04','桔子','店面',1661.00);
INSERT INTO sales_data VALUES ('2019-05-04','香蕉','淘宝',1999.00);
INSERT INTO sales_data VALUES ('2019-05-04','香蕉','京东',2508.00);
INSERT INTO sales_data VALUES ('2019-05-04','香蕉','店面',1626.00);
INSERT INTO sales_data VALUES ('2019-05-04','苹果','淘宝',1418.00);
INSERT INTO sales_data VALUES ('2019-05-04','苹果','京东',1777.00);
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INSERT INTO sales_data VALUES ('2019-05-05','桔子','淘宝',2490.00);
INSERT INTO sales_data VALUES ('2019-05-05','桔子','京东',2382.00);
INSERT INTO sales_data VALUES ('2019-05-05','桔子','店面',2329.00);
INSERT INTO sales_data VALUES ('2019-05-05','香蕉','淘宝',1533.00);
INSERT INTO sales_data VALUES ('2019-05-05','香蕉','京东',1599.00);
INSERT INTO sales_data VALUES ('2019-05-05','香蕉','店面',2014.00);
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INSERT INTO sales_data VALUES ('2019-05-06','桔子','京东',1892.00);
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INSERT INTO sales_data VALUES ('2019-05-06','苹果','淘宝',1303.00);
INSERT INTO sales_data VALUES ('2019-05-06','苹果','京东',2467.00);
INSERT INTO sales_data VALUES ('2019-05-06','苹果','店面',1709.00);
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INSERT INTO sales_data VALUES ('2019-05-07','香蕉','淘宝',1997.00);
INSERT INTO sales_data VALUES ('2019-05-07','香蕉','京东',1419.00);
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INSERT INTO sales_data VALUES ('2019-05-07','苹果','淘宝',2544.00);
INSERT INTO sales_data VALUES ('2019-05-07','苹果','京东',2303.00);
INSERT INTO sales_data VALUES ('2019-05-07','苹果','店面',1171.00);
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INSERT INTO sales_data VALUES ('2019-05-08','香蕉','淘宝',2003.00);
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INSERT INTO sales_data VALUES ('2019-05-08','苹果','淘宝',1713.00);
INSERT INTO sales_data VALUES ('2019-05-08','苹果','京东',1395.00);
INSERT INTO sales_data VALUES ('2019-05-08','苹果','店面',2080.00);
INSERT INTO sales_data VALUES ('2019-05-09','桔子','淘宝',2612.00);
INSERT INTO sales_data VALUES ('2019-05-09','桔子','京东',1599.00);
INSERT INTO sales_data VALUES ('2019-05-09','桔子','店面',1980.00);
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INSERT INTO sales_data VALUES ('2019-05-09','香蕉','京东',1756.00);
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INSERT INTO sales_data VALUES ('2019-05-09','苹果','淘宝',1184.00);
INSERT INTO sales_data VALUES ('2019-05-09','苹果','京东',1984.00);
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INSERT INTO sales_data VALUES ('2019-05-10','桔子','京东',2168.00);
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INSERT INTO sales_data VALUES ('2019-05-10','香蕉','淘宝',2312.00);
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INSERT INTO sales_data VALUES ('2019-05-10','苹果','淘宝',1238.00);
INSERT INTO sales_data VALUES ('2019-05-10','苹果','京东',2281.00);
INSERT INTO sales_data VALUES ('2019-05-10','苹果','店面',1549.00);
INSERT INTO sales_data VALUES ('2019-05-11','桔子','淘宝',1391.00);
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INSERT INTO sales_data VALUES ('2019-05-11','香蕉','淘宝',1432.00);
INSERT INTO sales_data VALUES ('2019-05-11','香蕉','京东',2624.00);
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INSERT INTO sales_data VALUES ('2019-05-11','苹果','淘宝',2136.00);
INSERT INTO sales_data VALUES ('2019-05-11','苹果','京东',1992.00);
INSERT INTO sales_data VALUES ('2019-05-11','苹果','店面',2550.00);
INSERT INTO sales_data VALUES ('2019-05-12','桔子','淘宝',2606.00);
INSERT INTO sales_data VALUES ('2019-05-12','桔子','京东',2575.00);
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INSERT INTO sales_data VALUES ('2019-05-12','香蕉','淘宝',2051.00);
INSERT INTO sales_data VALUES ('2019-05-12','香蕉','京东',2547.00);
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INSERT INTO sales_data VALUES ('2019-05-12','苹果','淘宝',1391.00);
INSERT INTO sales_data VALUES ('2019-05-12','苹果','京东',1652.00);
INSERT INTO sales_data VALUES ('2019-05-12','苹果','店面',2389.00);
INSERT INTO sales_data VALUES ('2019-05-13','桔子','淘宝',1502.00);
INSERT INTO sales_data VALUES ('2019-05-13','桔子','京东',1701.00);
INSERT INTO sales_data VALUES ('2019-05-13','桔子','店面',1739.00);
INSERT INTO sales_data VALUES ('2019-05-13','香蕉','淘宝',1367.00);
INSERT INTO sales_data VALUES ('2019-05-13','香蕉','京东',2284.00);
INSERT INTO sales_data VALUES ('2019-05-13','香蕉','店面',1261.00);
INSERT INTO sales_data VALUES ('2019-05-13','苹果','淘宝',2574.00);
INSERT INTO sales_data VALUES ('2019-05-13','苹果','京东',1951.00);
INSERT INTO sales_data VALUES ('2019-05-13','苹果','店面',1530.00);
INSERT INTO sales_data VALUES ('2019-05-14','桔子','淘宝',1194.00);
INSERT INTO sales_data VALUES ('2019-05-14','桔子','京东',2049.00);
INSERT INTO sales_data VALUES ('2019-05-14','桔子','店面',1171.00);
INSERT INTO sales_data VALUES ('2019-05-14','香蕉','淘宝',1598.00);
INSERT INTO sales_data VALUES ('2019-05-14','香蕉','京东',2290.00);
INSERT INTO sales_data VALUES ('2019-05-14','香蕉','店面',2220.00);
INSERT INTO sales_data VALUES ('2019-05-14','苹果','淘宝',1676.00);
INSERT INTO sales_data VALUES ('2019-05-14','苹果','京东',2573.00);
INSERT INTO sales_data VALUES ('2019-05-14','苹果','店面',2194.00);
INSERT INTO sales_data VALUES ('2019-05-15','桔子','淘宝',1734.00);
INSERT INTO sales_data VALUES ('2019-05-15','桔子','京东',2063.00);
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INSERT INTO sales_data VALUES ('2019-05-15','香蕉','淘宝',1634.00);
INSERT INTO sales_data VALUES ('2019-05-15','香蕉','京东',2014.00);
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INSERT INTO sales_data VALUES ('2019-05-15','苹果','淘宝',1794.00);
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INSERT INTO sales_data VALUES ('2019-05-16','桔子','淘宝',2418.00);
INSERT INTO sales_data VALUES ('2019-05-16','桔子','京东',1651.00);
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INSERT INTO sales_data VALUES ('2019-05-16','香蕉','淘宝',2152.00);
INSERT INTO sales_data VALUES ('2019-05-16','香蕉','京东',1994.00);
INSERT INTO sales_data VALUES ('2019-05-16','香蕉','店面',2396.00);
INSERT INTO sales_data VALUES ('2019-05-16','苹果','淘宝',1231.00);
INSERT INTO sales_data VALUES ('2019-05-16','苹果','京东',2201.00);
INSERT INTO sales_data VALUES ('2019-05-16','苹果','店面',2020.00);
INSERT INTO sales_data VALUES ('2019-05-17','桔子','淘宝',1337.00);
INSERT INTO sales_data VALUES ('2019-05-17','桔子','京东',2120.00);
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INSERT INTO sales_data VALUES ('2019-05-17','香蕉','淘宝',1706.00);
INSERT INTO sales_data VALUES ('2019-05-17','香蕉','京东',2150.00);
INSERT INTO sales_data VALUES ('2019-05-17','香蕉','店面',2200.00);
INSERT INTO sales_data VALUES ('2019-05-17','苹果','淘宝',1712.00);
INSERT INTO sales_data VALUES ('2019-05-17','苹果','京东',2583.00);
INSERT INTO sales_data VALUES ('2019-05-17','苹果','店面',1825.00);
INSERT INTO sales_data VALUES ('2019-05-18','桔子','淘宝',1272.00);
INSERT INTO sales_data VALUES ('2019-05-18','桔子','京东',1599.00);
INSERT INTO sales_data VALUES ('2019-05-18','桔子','店面',1738.00);
INSERT INTO sales_data VALUES ('2019-05-18','香蕉','淘宝',2302.00);
INSERT INTO sales_data VALUES ('2019-05-18','香蕉','京东',2163.00);
INSERT INTO sales_data VALUES ('2019-05-18','香蕉','店面',2631.00);
INSERT INTO sales_data VALUES ('2019-05-18','苹果','淘宝',2673.00);
INSERT INTO sales_data VALUES ('2019-05-18','苹果','京东',2627.00);
INSERT INTO sales_data VALUES ('2019-05-18','苹果','店面',1975.00);
INSERT INTO sales_data VALUES ('2019-05-19','桔子','淘宝',1469.00);
INSERT INTO sales_data VALUES ('2019-05-19','桔子','京东',1757.00);
INSERT INTO sales_data VALUES ('2019-05-19','桔子','店面',2221.00);
INSERT INTO sales_data VALUES ('2019-05-19','香蕉','淘宝',1652.00);
INSERT INTO sales_data VALUES ('2019-05-19','香蕉','京东',1500.00);
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INSERT INTO sales_data VALUES ('2019-05-19','苹果','淘宝',2331.00);
INSERT INTO sales_data VALUES ('2019-05-19','苹果','京东',2477.00);
INSERT INTO sales_data VALUES ('2019-05-19','苹果','店面',2016.00);
INSERT INTO sales_data VALUES ('2019-05-20','桔子','淘宝',2057.00);
INSERT INTO sales_data VALUES ('2019-05-20','桔子','京东',2537.00);
INSERT INTO sales_data VALUES ('2019-05-20','桔子','店面',1547.00);
INSERT INTO sales_data VALUES ('2019-05-20','香蕉','淘宝',1403.00);
INSERT INTO sales_data VALUES ('2019-05-20','香蕉','京东',2694.00);
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INSERT INTO sales_data VALUES ('2019-05-20','苹果','淘宝',1539.00);
INSERT INTO sales_data VALUES ('2019-05-20','苹果','京东',1720.00);
INSERT INTO sales_data VALUES ('2019-05-20','苹果','店面',1957.00);
INSERT INTO sales_data VALUES ('2019-05-21','桔子','淘宝',2564.00);
INSERT INTO sales_data VALUES ('2019-05-21','桔子','京东',2257.00);
INSERT INTO sales_data VALUES ('2019-05-21','桔子','店面',1865.00);
INSERT INTO sales_data VALUES ('2019-05-21','香蕉','淘宝',1709.00);
INSERT INTO sales_data VALUES ('2019-05-21','香蕉','京东',2345.00);
INSERT INTO sales_data VALUES ('2019-05-21','香蕉','店面',2278.00);
INSERT INTO sales_data VALUES ('2019-05-21','苹果','淘宝',2261.00);
INSERT INTO sales_data VALUES ('2019-05-21','苹果','京东',1961.00);
INSERT INTO sales_data VALUES ('2019-05-21','苹果','店面',1756.00);
INSERT INTO sales_data VALUES ('2019-05-22','桔子','淘宝',2212.00);
INSERT INTO sales_data VALUES ('2019-05-22','桔子','京东',1954.00);
INSERT INTO sales_data VALUES ('2019-05-22','桔子','店面',1703.00);
INSERT INTO sales_data VALUES ('2019-05-22','香蕉','淘宝',1503.00);
INSERT INTO sales_data VALUES ('2019-05-22','香蕉','京东',2233.00);
INSERT INTO sales_data VALUES ('2019-05-22','香蕉','店面',2270.00);
INSERT INTO sales_data VALUES ('2019-05-22','苹果','淘宝',2533.00);
INSERT INTO sales_data VALUES ('2019-05-22','苹果','京东',2695.00);
INSERT INTO sales_data VALUES ('2019-05-22','苹果','店面',2580.00);
INSERT INTO sales_data VALUES ('2019-05-23','桔子','淘宝',2546.00);
INSERT INTO sales_data VALUES ('2019-05-23','桔子','京东',2341.00);
INSERT INTO sales_data VALUES ('2019-05-23','桔子','店面',2371.00);
INSERT INTO sales_data VALUES ('2019-05-23','香蕉','淘宝',1872.00);
INSERT INTO sales_data VALUES ('2019-05-23','香蕉','京东',1703.00);
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INSERT INTO sales_data VALUES ('2019-05-23','苹果','淘宝',2223.00);
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INSERT INTO sales_data VALUES ('2019-05-24','桔子','淘宝',2021.00);
INSERT INTO sales_data VALUES ('2019-05-24','桔子','京东',2259.00);
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INSERT INTO sales_data VALUES ('2019-05-24','香蕉','淘宝',1282.00);
INSERT INTO sales_data VALUES ('2019-05-24','香蕉','京东',2123.00);
INSERT INTO sales_data VALUES ('2019-05-24','香蕉','店面',2299.00);
INSERT INTO sales_data VALUES ('2019-05-24','苹果','淘宝',1947.00);
INSERT INTO sales_data VALUES ('2019-05-24','苹果','京东',2632.00);
INSERT INTO sales_data VALUES ('2019-05-24','苹果','店面',1944.00);
INSERT INTO sales_data VALUES ('2019-05-25','桔子','淘宝',1530.00);
INSERT INTO sales_data VALUES ('2019-05-25','桔子','京东',2198.00);
INSERT INTO sales_data VALUES ('2019-05-25','桔子','店面',2710.00);
INSERT INTO sales_data VALUES ('2019-05-25','香蕉','淘宝',2087.00);
INSERT INTO sales_data VALUES ('2019-05-25','香蕉','京东',1706.00);
INSERT INTO sales_data VALUES ('2019-05-25','香蕉','店面',1959.00);
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INSERT INTO sales_data VALUES ('2019-05-25','苹果','京东',2003.00);
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INSERT INTO sales_data VALUES ('2019-05-26','桔子','淘宝',2155.00);
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INSERT INTO sales_data VALUES ('2019-05-26','苹果','淘宝',1691.00);
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INSERT INTO sales_data VALUES ('2019-05-27','香蕉','淘宝',2201.00);
INSERT INTO sales_data VALUES ('2019-05-27','香蕉','京东',2658.00);
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INSERT INTO sales_data VALUES ('2019-05-27','苹果','淘宝',2228.00);
INSERT INTO sales_data VALUES ('2019-05-27','苹果','京东',2725.00);
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INSERT INTO sales_data VALUES ('2019-05-28','香蕉','京东',2273.00);
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INSERT INTO sales_data VALUES ('2019-05-28','苹果','淘宝',2537.00);
INSERT INTO sales_data VALUES ('2019-05-28','苹果','京东',1640.00);
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INSERT INTO sales_data VALUES ('2019-05-29','桔子','京东',1510.00);
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INSERT INTO sales_data VALUES ('2019-05-29','苹果','淘宝',2304.00);
INSERT INTO sales_data VALUES ('2019-05-29','苹果','京东',1745.00);
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INSERT INTO sales_data VALUES ('2019-05-30','桔子','淘宝',2197.00);
INSERT INTO sales_data VALUES ('2019-05-30','桔子','京东',2216.00);
INSERT INTO sales_data VALUES ('2019-05-30','桔子','店面',2610.00);
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INSERT INTO sales_data VALUES ('2019-05-30','香蕉','京东',2185.00);
INSERT INTO sales_data VALUES ('2019-05-30','香蕉','店面',1733.00);
INSERT INTO sales_data VALUES ('2019-05-30','苹果','淘宝',2159.00);
INSERT INTO sales_data VALUES ('2019-05-30','苹果','京东',1657.00);
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INSERT INTO sales_data VALUES ('2019-05-31','桔子','淘宝',1290.00);
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INSERT INTO sales_data VALUES ('2019-05-31','桔子','店面',1661.00);
INSERT INTO sales_data VALUES ('2019-05-31','香蕉','淘宝',1324.00);
INSERT INTO sales_data VALUES ('2019-05-31','香蕉','京东',1743.00);
INSERT INTO sales_data VALUES ('2019-05-31','香蕉','店面',2389.00);
INSERT INTO sales_data VALUES ('2019-05-31','苹果','淘宝',1274.00);
INSERT INTO sales_data VALUES ('2019-05-31','苹果','京东',1554.00);
INSERT INTO sales_data VALUES ('2019-05-31','苹果','店面',1927.00);
INSERT INTO sales_data VALUES ('2019-06-01','桔子','淘宝',2209.00);
INSERT INTO sales_data VALUES ('2019-06-01','桔子','京东',1361.00);
INSERT INTO sales_data VALUES ('2019-06-01','桔子','店面',2336.00);
INSERT INTO sales_data VALUES ('2019-06-01','香蕉','淘宝',2123.00);
INSERT INTO sales_data VALUES ('2019-06-01','香蕉','京东',1902.00);
INSERT INTO sales_data VALUES ('2019-06-01','香蕉','店面',2606.00);
INSERT INTO sales_data VALUES ('2019-06-01','苹果','淘宝',1321.00);
INSERT INTO sales_data VALUES ('2019-06-01','苹果','京东',2710.00);
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INSERT INTO sales_data VALUES ('2019-06-02','桔子','淘宝',2635.00);
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INSERT INTO sales_data VALUES ('2019-06-02','香蕉','淘宝',1392.00);
INSERT INTO sales_data VALUES ('2019-06-02','香蕉','京东',1731.00);
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INSERT INTO sales_data VALUES ('2019-06-02','苹果','淘宝',2757.00);
INSERT INTO sales_data VALUES ('2019-06-02','苹果','京东',1563.00);
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INSERT INTO sales_data VALUES ('2019-06-03','桔子','淘宝',1750.00);
INSERT INTO sales_data VALUES ('2019-06-03','桔子','京东',2482.00);
INSERT INTO sales_data VALUES ('2019-06-03','桔子','店面',2144.00);
INSERT INTO sales_data VALUES ('2019-06-03','香蕉','淘宝',2166.00);
INSERT INTO sales_data VALUES ('2019-06-03','香蕉','京东',2522.00);
INSERT INTO sales_data VALUES ('2019-06-03','香蕉','店面',2054.00);
INSERT INTO sales_data VALUES ('2019-06-03','苹果','淘宝',2577.00);
INSERT INTO sales_data VALUES ('2019-06-03','苹果','京东',2596.00);
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INSERT INTO sales_data VALUES ('2019-06-04','桔子','淘宝',2220.00);
INSERT INTO sales_data VALUES ('2019-06-04','桔子','京东',2625.00);
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INSERT INTO sales_data VALUES ('2019-06-04','香蕉','淘宝',1397.00);
INSERT INTO sales_data VALUES ('2019-06-04','香蕉','京东',2079.00);
INSERT INTO sales_data VALUES ('2019-06-04','香蕉','店面',1463.00);
INSERT INTO sales_data VALUES ('2019-06-04','苹果','淘宝',2478.00);
INSERT INTO sales_data VALUES ('2019-06-04','苹果','京东',1447.00);
INSERT INTO sales_data VALUES ('2019-06-04','苹果','店面',2109.00);
INSERT INTO sales_data VALUES ('2019-06-05','桔子','淘宝',2334.00);
INSERT INTO sales_data VALUES ('2019-06-05','桔子','京东',1518.00);
INSERT INTO sales_data VALUES ('2019-06-05','桔子','店面',2069.00);
INSERT INTO sales_data VALUES ('2019-06-05','香蕉','淘宝',1885.00);
INSERT INTO sales_data VALUES ('2019-06-05','香蕉','京东',1393.00);
INSERT INTO sales_data VALUES ('2019-06-05','香蕉','店面',1588.00);
INSERT INTO sales_data VALUES ('2019-06-05','苹果','淘宝',1942.00);
INSERT INTO sales_data VALUES ('2019-06-05','苹果','京东',1525.00);
INSERT INTO sales_data VALUES ('2019-06-05','苹果','店面',2059.00);
INSERT INTO sales_data VALUES ('2019-06-06','桔子','淘宝',1474.00);
INSERT INTO sales_data VALUES ('2019-06-06','桔子','京东',1527.00);
INSERT INTO sales_data VALUES ('2019-06-06','桔子','店面',2367.00);
INSERT INTO sales_data VALUES ('2019-06-06','香蕉','淘宝',1941.00);
INSERT INTO sales_data VALUES ('2019-06-06','香蕉','京东',2012.00);
INSERT INTO sales_data VALUES ('2019-06-06','香蕉','店面',2085.00);
INSERT INTO sales_data VALUES ('2019-06-06','苹果','淘宝',1321.00);
INSERT INTO sales_data VALUES ('2019-06-06','苹果','京东',1413.00);
INSERT INTO sales_data VALUES ('2019-06-06','苹果','店面',1841.00);
INSERT INTO sales_data VALUES ('2019-06-07','桔子','淘宝',2115.00);
INSERT INTO sales_data VALUES ('2019-06-07','桔子','京东',2730.00);
INSERT INTO sales_data VALUES ('2019-06-07','桔子','店面',1677.00);
INSERT INTO sales_data VALUES ('2019-06-07','香蕉','淘宝',1897.00);
INSERT INTO sales_data VALUES ('2019-06-07','香蕉','京东',2180.00);
INSERT INTO sales_data VALUES ('2019-06-07','香蕉','店面',1532.00);
INSERT INTO sales_data VALUES ('2019-06-07','苹果','淘宝',1984.00);
INSERT INTO sales_data VALUES ('2019-06-07','苹果','京东',2307.00);
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INSERT INTO sales_data VALUES ('2019-06-08','桔子','淘宝',2181.00);
INSERT INTO sales_data VALUES ('2019-06-08','桔子','京东',2020.00);
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INSERT INTO sales_data VALUES ('2019-06-08','香蕉','京东',1579.00);
INSERT INTO sales_data VALUES ('2019-06-08','香蕉','店面',2766.00);
INSERT INTO sales_data VALUES ('2019-06-08','苹果','淘宝',2315.00);
INSERT INTO sales_data VALUES ('2019-06-08','苹果','京东',2190.00);
INSERT INTO sales_data VALUES ('2019-06-08','苹果','店面',1384.00);
INSERT INTO sales_data VALUES ('2019-06-09','桔子','淘宝',2633.00);
INSERT INTO sales_data VALUES ('2019-06-09','桔子','京东',1361.00);
INSERT INTO sales_data VALUES ('2019-06-09','桔子','店面',1639.00);
INSERT INTO sales_data VALUES ('2019-06-09','香蕉','淘宝',1916.00);
INSERT INTO sales_data VALUES ('2019-06-09','香蕉','京东',1555.00);
INSERT INTO sales_data VALUES ('2019-06-09','香蕉','店面',1886.00);
INSERT INTO sales_data VALUES ('2019-06-09','苹果','淘宝',1504.00);
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INSERT INTO sales_data VALUES ('2019-06-10','桔子','京东',2262.00);
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INSERT INTO sales_data VALUES ('2019-06-10','香蕉','淘宝',1375.00);
INSERT INTO sales_data VALUES ('2019-06-10','香蕉','京东',1592.00);
INSERT INTO sales_data VALUES ('2019-06-10','香蕉','店面',2701.00);
INSERT INTO sales_data VALUES ('2019-06-10','苹果','淘宝',1767.00);
INSERT INTO sales_data VALUES ('2019-06-10','苹果','京东',2204.00);
INSERT INTO sales_data VALUES ('2019-06-10','苹果','店面',2096.00);
INSERT INTO sales_data VALUES ('2019-06-11','桔子','淘宝',2019.00);
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INSERT INTO sales_data VALUES ('2019-06-11','香蕉','淘宝',1575.00);
INSERT INTO sales_data VALUES ('2019-06-11','香蕉','京东',2299.00);
INSERT INTO sales_data VALUES ('2019-06-11','香蕉','店面',2353.00);
INSERT INTO sales_data VALUES ('2019-06-11','苹果','淘宝',1308.00);
INSERT INTO sales_data VALUES ('2019-06-11','苹果','京东',2530.00);
INSERT INTO sales_data VALUES ('2019-06-11','苹果','店面',2643.00);
INSERT INTO sales_data VALUES ('2019-06-12','桔子','淘宝',2788.00);
INSERT INTO sales_data VALUES ('2019-06-12','桔子','京东',2060.00);
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INSERT INTO sales_data VALUES ('2019-06-12','香蕉','淘宝',1382.00);
INSERT INTO sales_data VALUES ('2019-06-12','香蕉','京东',1897.00);
INSERT INTO sales_data VALUES ('2019-06-12','香蕉','店面',2114.00);
INSERT INTO sales_data VALUES ('2019-06-12','苹果','淘宝',1726.00);
INSERT INTO sales_data VALUES ('2019-06-12','苹果','京东',2519.00);
INSERT INTO sales_data VALUES ('2019-06-12','苹果','店面',2374.00);
INSERT INTO sales_data VALUES ('2019-06-13','桔子','淘宝',2322.00);
INSERT INTO sales_data VALUES ('2019-06-13','桔子','京东',2732.00);
INSERT INTO sales_data VALUES ('2019-06-13','桔子','店面',1801.00);
INSERT INTO sales_data VALUES ('2019-06-13','香蕉','淘宝',2145.00);
INSERT INTO sales_data VALUES ('2019-06-13','香蕉','京东',2246.00);
INSERT INTO sales_data VALUES ('2019-06-13','香蕉','店面',2763.00);
INSERT INTO sales_data VALUES ('2019-06-13','苹果','淘宝',2102.00);
INSERT INTO sales_data VALUES ('2019-06-13','苹果','京东',2320.00);
INSERT INTO sales_data VALUES ('2019-06-13','苹果','店面',1555.00);
INSERT INTO sales_data VALUES ('2019-06-14','桔子','淘宝',2008.00);
INSERT INTO sales_data VALUES ('2019-06-14','桔子','京东',2792.00);
INSERT INTO sales_data VALUES ('2019-06-14','桔子','店面',2465.00);
INSERT INTO sales_data VALUES ('2019-06-14','香蕉','淘宝',2805.00);
INSERT INTO sales_data VALUES ('2019-06-14','香蕉','京东',2006.00);
INSERT INTO sales_data VALUES ('2019-06-14','香蕉','店面',2568.00);
INSERT INTO sales_data VALUES ('2019-06-14','苹果','淘宝',1623.00);
INSERT INTO sales_data VALUES ('2019-06-14','苹果','京东',2276.00);
INSERT INTO sales_data VALUES ('2019-06-14','苹果','店面',2062.00);
INSERT INTO sales_data VALUES ('2019-06-15','桔子','淘宝',2677.00);
INSERT INTO sales_data VALUES ('2019-06-15','桔子','京东',2284.00);
INSERT INTO sales_data VALUES ('2019-06-15','桔子','店面',1793.00);
INSERT INTO sales_data VALUES ('2019-06-15','香蕉','淘宝',2514.00);
INSERT INTO sales_data VALUES ('2019-06-15','香蕉','京东',2262.00);
INSERT INTO sales_data VALUES ('2019-06-15','香蕉','店面',2542.00);
INSERT INTO sales_data VALUES ('2019-06-15','苹果','淘宝',1752.00);
INSERT INTO sales_data VALUES ('2019-06-15','苹果','京东',2334.00);
INSERT INTO sales_data VALUES ('2019-06-15','苹果','店面',1629.00);
INSERT INTO sales_data VALUES ('2019-06-16','桔子','淘宝',2561.00);
INSERT INTO sales_data VALUES ('2019-06-16','桔子','京东',2754.00);
INSERT INTO sales_data VALUES ('2019-06-16','桔子','店面',1343.00);
INSERT INTO sales_data VALUES ('2019-06-16','香蕉','淘宝',2125.00);
INSERT INTO sales_data VALUES ('2019-06-16','香蕉','京东',2261.00);
INSERT INTO sales_data VALUES ('2019-06-16','香蕉','店面',2760.00);
INSERT INTO sales_data VALUES ('2019-06-16','苹果','淘宝',2610.00);
INSERT INTO sales_data VALUES ('2019-06-16','苹果','京东',1592.00);
INSERT INTO sales_data VALUES ('2019-06-16','苹果','店面',2191.00);
INSERT INTO sales_data VALUES ('2019-06-17','桔子','淘宝',2563.00);
INSERT INTO sales_data VALUES ('2019-06-17','桔子','京东',2383.00);
INSERT INTO sales_data VALUES ('2019-06-17','桔子','店面',1701.00);
INSERT INTO sales_data VALUES ('2019-06-17','香蕉','淘宝',2804.00);
INSERT INTO sales_data VALUES ('2019-06-17','香蕉','京东',1572.00);
INSERT INTO sales_data VALUES ('2019-06-17','香蕉','店面',1674.00);
INSERT INTO sales_data VALUES ('2019-06-17','苹果','淘宝',2448.00);
INSERT INTO sales_data VALUES ('2019-06-17','苹果','京东',1557.00);
INSERT INTO sales_data VALUES ('2019-06-17','苹果','店面',2360.00);
INSERT INTO sales_data VALUES ('2019-06-18','桔子','淘宝',2201.00);
INSERT INTO sales_data VALUES ('2019-06-18','桔子','京东',1865.00);
INSERT INTO sales_data VALUES ('2019-06-18','桔子','店面',1821.00);
INSERT INTO sales_data VALUES ('2019-06-18','香蕉','淘宝',1444.00);
INSERT INTO sales_data VALUES ('2019-06-18','香蕉','京东',1716.00);
INSERT INTO sales_data VALUES ('2019-06-18','香蕉','店面',2780.00);
INSERT INTO sales_data VALUES ('2019-06-18','苹果','淘宝',1911.00);
INSERT INTO sales_data VALUES ('2019-06-18','苹果','京东',1405.00);
INSERT INTO sales_data VALUES ('2019-06-18','苹果','店面',2216.00);
INSERT INTO sales_data VALUES ('2019-06-19','桔子','淘宝',1634.00);
INSERT INTO sales_data VALUES ('2019-06-19','桔子','京东',1837.00);
INSERT INTO sales_data VALUES ('2019-06-19','桔子','店面',1730.00);
INSERT INTO sales_data VALUES ('2019-06-19','香蕉','淘宝',1938.00);
INSERT INTO sales_data VALUES ('2019-06-19','香蕉','京东',1568.00);
INSERT INTO sales_data VALUES ('2019-06-19','香蕉','店面',1655.00);
INSERT INTO sales_data VALUES ('2019-06-19','苹果','淘宝',1951.00);
INSERT INTO sales_data VALUES ('2019-06-19','苹果','京东',2363.00);
INSERT INTO sales_data VALUES ('2019-06-19','苹果','店面',2586.00);
INSERT INTO sales_data VALUES ('2019-06-20','桔子','淘宝',1886.00);
INSERT INTO sales_data VALUES ('2019-06-20','桔子','京东',2148.00);
INSERT INTO sales_data VALUES ('2019-06-20','桔子','店面',1352.00);
INSERT INTO sales_data VALUES ('2019-06-20','香蕉','淘宝',2747.00);
INSERT INTO sales_data VALUES ('2019-06-20','香蕉','京东',1876.00);
INSERT INTO sales_data VALUES ('2019-06-20','香蕉','店面',2401.00);
INSERT INTO sales_data VALUES ('2019-06-20','苹果','淘宝',1614.00);
INSERT INTO sales_data VALUES ('2019-06-20','苹果','京东',1845.00);
INSERT INTO sales_data VALUES ('2019-06-20','苹果','店面',2638.00);
INSERT INTO sales_data VALUES ('2019-06-21','桔子','淘宝',1958.00);
INSERT INTO sales_data VALUES ('2019-06-21','桔子','京东',1464.00);
INSERT INTO sales_data VALUES ('2019-06-21','桔子','店面',1364.00);
INSERT INTO sales_data VALUES ('2019-06-21','香蕉','淘宝',1483.00);
INSERT INTO sales_data VALUES ('2019-06-21','香蕉','京东',2325.00);
INSERT INTO sales_data VALUES ('2019-06-21','香蕉','店面',1889.00);
INSERT INTO sales_data VALUES ('2019-06-21','苹果','淘宝',1964.00);
INSERT INTO sales_data VALUES ('2019-06-21','苹果','京东',2429.00);
INSERT INTO sales_data VALUES ('2019-06-21','苹果','店面',2265.00);
INSERT INTO sales_data VALUES ('2019-06-22','桔子','淘宝',1908.00);
INSERT INTO sales_data VALUES ('2019-06-22','桔子','京东',1505.00);
INSERT INTO sales_data VALUES ('2019-06-22','桔子','店面',2336.00);
INSERT INTO sales_data VALUES ('2019-06-22','香蕉','淘宝',2785.00);
INSERT INTO sales_data VALUES ('2019-06-22','香蕉','京东',1794.00);
INSERT INTO sales_data VALUES ('2019-06-22','香蕉','店面',2828.00);
INSERT INTO sales_data VALUES ('2019-06-22','苹果','淘宝',1670.00);
INSERT INTO sales_data VALUES ('2019-06-22','苹果','京东',2387.00);
INSERT INTO sales_data VALUES ('2019-06-22','苹果','店面',1551.00);
INSERT INTO sales_data VALUES ('2019-06-23','桔子','淘宝',1985.00);
INSERT INTO sales_data VALUES ('2019-06-23','桔子','京东',1498.00);
INSERT INTO sales_data VALUES ('2019-06-23','桔子','店面',2573.00);
INSERT INTO sales_data VALUES ('2019-06-23','香蕉','淘宝',1725.00);
INSERT INTO sales_data VALUES ('2019-06-23','香蕉','京东',2034.00);
INSERT INTO sales_data VALUES ('2019-06-23','香蕉','店面',1871.00);
INSERT INTO sales_data VALUES ('2019-06-23','苹果','淘宝',1728.00);
INSERT INTO sales_data VALUES ('2019-06-23','苹果','京东',1932.00);
INSERT INTO sales_data VALUES ('2019-06-23','苹果','店面',2398.00);
INSERT INTO sales_data VALUES ('2019-06-24','桔子','淘宝',2784.00);
INSERT INTO sales_data VALUES ('2019-06-24','桔子','京东',2201.00);
INSERT INTO sales_data VALUES ('2019-06-24','桔子','店面',1398.00);
INSERT INTO sales_data VALUES ('2019-06-24','香蕉','淘宝',2571.00);
INSERT INTO sales_data VALUES ('2019-06-24','香蕉','京东',2803.00);
INSERT INTO sales_data VALUES ('2019-06-24','香蕉','店面',1507.00);
INSERT INTO sales_data VALUES ('2019-06-24','苹果','淘宝',2581.00);
INSERT INTO sales_data VALUES ('2019-06-24','苹果','京东',1431.00);
INSERT INTO sales_data VALUES ('2019-06-24','苹果','店面',2477.00);
INSERT INTO sales_data VALUES ('2019-06-25','桔子','淘宝',1620.00);
INSERT INTO sales_data VALUES ('2019-06-25','桔子','京东',2044.00);
INSERT INTO sales_data VALUES ('2019-06-25','桔子','店面',2055.00);
INSERT INTO sales_data VALUES ('2019-06-25','香蕉','淘宝',2530.00);
INSERT INTO sales_data VALUES ('2019-06-25','香蕉','京东',2593.00);
INSERT INTO sales_data VALUES ('2019-06-25','香蕉','店面',2201.00);
INSERT INTO sales_data VALUES ('2019-06-25','苹果','淘宝',2006.00);
INSERT INTO sales_data VALUES ('2019-06-25','苹果','京东',2517.00);
INSERT INTO sales_data VALUES ('2019-06-25','苹果','店面',2634.00);
INSERT INTO sales_data VALUES ('2019-06-26','桔子','淘宝',1979.00);
INSERT INTO sales_data VALUES ('2019-06-26','桔子','京东',2832.00);
INSERT INTO sales_data VALUES ('2019-06-26','桔子','店面',2166.00);
INSERT INTO sales_data VALUES ('2019-06-26','香蕉','淘宝',2170.00);
INSERT INTO sales_data VALUES ('2019-06-26','香蕉','京东',1952.00);
INSERT INTO sales_data VALUES ('2019-06-26','香蕉','店面',2299.00);
INSERT INTO sales_data VALUES ('2019-06-26','苹果','淘宝',1878.00);
INSERT INTO sales_data VALUES ('2019-06-26','苹果','京东',2312.00);
INSERT INTO sales_data VALUES ('2019-06-26','苹果','店面',1468.00);
INSERT INTO sales_data VALUES ('2019-06-27','桔子','淘宝',2389.00);
INSERT INTO sales_data VALUES ('2019-06-27','桔子','京东',2680.00);
INSERT INTO sales_data VALUES ('2019-06-27','桔子','店面',2040.00);
INSERT INTO sales_data VALUES ('2019-06-27','香蕉','淘宝',1922.00);
INSERT INTO sales_data VALUES ('2019-06-27','香蕉','京东',2594.00);
INSERT INTO sales_data VALUES ('2019-06-27','香蕉','店面',2870.00);
INSERT INTO sales_data VALUES ('2019-06-27','苹果','淘宝',1950.00);
INSERT INTO sales_data VALUES ('2019-06-27','苹果','京东',2296.00);
INSERT INTO sales_data VALUES ('2019-06-27','苹果','店面',2803.00);
INSERT INTO sales_data VALUES ('2019-06-28','桔子','淘宝',2092.00);
INSERT INTO sales_data VALUES ('2019-06-28','桔子','京东',2011.00);
INSERT INTO sales_data VALUES ('2019-06-28','桔子','店面',2869.00);
INSERT INTO sales_data VALUES ('2019-06-28','香蕉','淘宝',1699.00);
INSERT INTO sales_data VALUES ('2019-06-28','香蕉','京东',2256.00);
INSERT INTO sales_data VALUES ('2019-06-28','香蕉','店面',2038.00);
INSERT INTO sales_data VALUES ('2019-06-28','苹果','淘宝',2379.00);
INSERT INTO sales_data VALUES ('2019-06-28','苹果','京东',1911.00);
INSERT INTO sales_data VALUES ('2019-06-28','苹果','店面',1756.00);
INSERT INTO sales_data VALUES ('2019-06-29','桔子','淘宝',1709.00);
INSERT INTO sales_data VALUES ('2019-06-29','桔子','京东',2547.00);
INSERT INTO sales_data VALUES ('2019-06-29','桔子','店面',1403.00);
INSERT INTO sales_data VALUES ('2019-06-29','香蕉','淘宝',1469.00);
INSERT INTO sales_data VALUES ('2019-06-29','香蕉','京东',1646.00);
INSERT INTO sales_data VALUES ('2019-06-29','香蕉','店面',2856.00);
INSERT INTO sales_data VALUES ('2019-06-29','苹果','淘宝',2255.00);
INSERT INTO sales_data VALUES ('2019-06-29','苹果','京东',2436.00);
INSERT INTO sales_data VALUES ('2019-06-29','苹果','店面',1928.00);
INSERT INTO sales_data VALUES ('2019-06-30','桔子','淘宝',1679.00);
INSERT INTO sales_data VALUES ('2019-06-30','桔子','京东',1439.00);
INSERT INTO sales_data VALUES ('2019-06-30','桔子','店面',2865.00);
INSERT INTO sales_data VALUES ('2019-06-30','香蕉','淘宝',1767.00);
INSERT INTO sales_data VALUES ('2019-06-30','香蕉','京东',2443.00);
INSERT INTO sales_data VALUES ('2019-06-30','香蕉','店面',2660.00);
INSERT INTO sales_data VALUES ('2019-06-30','苹果','淘宝',2422.00);
INSERT INTO sales_data VALUES ('2019-06-30','苹果','京东',1481.00);
INSERT INTO sales_data VALUES ('2019-06-30','苹果','店面',2369.00);

-- 使用 AVG 函数计算移动平均值
select saledate, amount, avg(amount) over (order by saledate rows between 1
preceding and 1 following)
 from sales_data
where product = '桔子' and channel = '淘宝';

该语句返回了“桔子”在“淘宝”上的销量，以及每一天和它前后一天（共 3 天）的平均销量。

排名窗口函数

排名窗口函数用于对数据进行分组排名。常见的排名窗口函数包括：

• ROW_NUMBER，为分区中的每行数据分配一个序列号，序列号从 1 开始分配
• RANK，计算每行数据在其分区中的名次；如果存在名次相同的数据，后续的排名将会
  产生跳跃
• DENSE_RANK，计算每行数据在其分区中的名次；即使存在名次相同的数据，后续的
  排名也是连续的值
• PERCENT_RANK，以百分比的形式显示每行数据在其分区中的名次；如果存在名次相
  同的数据，后续的排名将会产生跳跃
• CUME_DIST，计算每行数据在其分区内的累积分布，也就是该行数据及其之前的数据
  的比率；取值范围大于 0 并且小于等于 1
• NTILE，将分区内的数据分为 N 等份，为每行数据计算其所在的位置
  排名窗口函数不支持动态的窗口大小（frame_clause），而是以当前分区作为分析的窗口。

--按照部门为单位，计算员工的月薪排名：
SELECT d.department_name "部门名称", concat(e.first_name, ',' , e.last_name)
"姓名", e.salary "月薪",
 ROW_NUMBER() OVER (PARTITION BY e.department_id ORDER BY e.salary DESC)
AS "row_number",
 RANK() OVER (PARTITION BY e.department_id ORDER BY e.salary DESC) AS
"rank",
 DENSE_RANK() OVER (PARTITION BY e.department_id ORDER BY e.salary DESC)
AS "dense_rank",
 PERCENT_RANK() OVER (PARTITION BY e.department_id ORDER BY e.salary DESC)
AS "percent_rank"
 FROM employees e
 JOIN departments d ON (e.department_id = d.department_id)
WHERE d.department_name in ('IT', 'Purchasing')
/**
 *  order by 1,4等于
 * order by d.department_name,
 * ROW_NUMBER() OVER (PARTITION BY e.department_id ORDER BY e.salary DESC)
 * AS "row_number"
 */
ORDER BY 1, 4;

ROW_NUMBER 函数为每个员工分配了一个连续的数字编号，可以看作是一种排名。IT 部
门的“Valli,Pataballa”和“David,Austin”的月薪相同，但是编号不同

RANK 函数为每个员工指定了一个名次，IT 部门的“Valli,Pataballa”和“David,Austin”的名次
都是 3；而且在他们之后的“Diana,Lorentz”的名次为 5，产生了跳跃

DENSE_RANK 函数为每个员工指定了一个名次，IT 部门的“Valli,Pataballa”和“David,Austin”
的名次都是 3；在他们之后的“Diana,Lorentz”的名次为 4，名次是连续值

PERCENT_RANK 函数按照百分比指定名次，取值位于 0 到 1 之间。其中“Diana,Lorentz”的
百分比排名为 1，也产生了跳跃

4 个窗口函数的 OVER 子句完全相同，此时可以采用一种更简单的写法

SELECT d.department_name "部门名称", concat(e.first_name, ',' , e.last_name)
"姓名", e.salary "月薪",
 ROW_NUMBER() OVER w AS "row_number",
 RANK() OVER w AS "rank",
 DENSE_RANK() OVER w AS "dense_rank",
 PERCENT_RANK() OVER w AS "percent_rank"
 FROM employees e
 JOIN departments d ON (e.department_id = d.department_id)
WHERE d.department_name in ('IT', 'Purchasing')
WINDOW w AS (PARTITION BY e.department_id ORDER BY e.salary DESC)
ORDER BY 1, 4;

其中，WINDOW 定义了一个窗口变量 w，然后在窗口函数的 OVER 子句中使用了该变量；
这样可以简化函数的输入

窗口函数在 GROUP BY 分组、聚合函数以及 HAVING 过滤之后运行。如果多个窗口函
数拥有相同的 PARTITION BY 和 ORDER BY 选项，它们会在遍历数据时一起进行计算，也就是
说它们读取输入数据的顺序完全一致

演示了 CUME_DIST 和 NTILE 函数

SELECT concat(first_name, ',' , last_name) "姓名", hire_date AS "入职日期",
 CUME_DIST() OVER (ORDER BY hire_date) AS "累积占比",
 NTILE(100) OVER (ORDER BY hire_date) AS "相对位置"
 FROM employees;

其中，CUME_DIST 函数显示 2001-01-13 以及之前入职的员工大概有 0.9%（1/107）；
NTILE(100)函数表明前 1%入职的员工有“Lex,De Haan”和“Hermann,Baer”，由于员工总数为 107，
所以不是完全准确。

取值窗口函数

取值窗口函数用于返回指定位置上的数据。常见的取值窗口函数包括：

• FIRST_VALUE，返回窗口内第一行的数据
• LAST_VALUE，返回窗口内最后一行的数据
• NTH_VALUE，返回窗口内第 N 行的数据
• LAG，返回分区中当前行之前的第 N 行的数据
• LEAD，返回分区中当前行之后第 N 行的数据
  其中，LAG 和 LEAD 函数不支持动态的窗口大小（frame_clause），而是以当前分区作为分
  析的窗口

/**
* 使用 FIRST_VALUE、LAST_VALUE 以及 NTH 函数分别获取每个部门内部月薪
* 最高、月薪最低以及月薪第三高的员工
*/

SELECT department_id, first_name, last_name, salary,
 FIRST_VALUE(salary) OVER w,
 LAST_VALUE(salary) OVER w,
 NTH_VALUE(salary, 3) OVER w
 FROM employees
WINDOW w AS (PARTITION BY department_id ORDER BY salary desc ROWS BETWEEN
UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)
ORDER BY department_id, salary DESC;

以上三个函数的默认窗口是从当前分区的第一行到当前行，所以我们在 OVER 子句中将窗
口设置为整个分区。

LAG 和 LEAD 函数同样用于计算销量数据的环比/同比增长。例如，以下语句统计不同产品
每个月的环比增长率

WITH sales_monthly AS (
 SELECT product, to_char(saledate,'YYYYMM') ym, sum(amount) sum_amount
 FROM sales_data
 GROUP BY product, to_char(saledate,'YYYYMM')
)
SELECT product AS "产品", ym "年月", sum_amount "销量",
 (sum_amount - LAG(sum_amount, 1) OVER (PARTITION BY product ORDER BY
ym))/
 LAG(sum_amount, 1) OVER (PARTITION BY product ORDER BY ym) * 100 AS "
环比增长率（%）"
 FROM sales_monthly
ORDER BY product, ym;

首先，创建一个通用表表达式 sales_monthly，得到了不同产品每个月的销量汇总；
LAG(sum_amount, 1)表示获取上一期的销量；当前月份的销量减去上个月的销量，再除以上个月
的销量，就是环比增长率