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CREATE TABLE `orders` ( `order_num` String COMMENT '订单号', `order_amount` DECIMAL ( 12, 2 ) COMMENT '订单金额', `advance_amount` DECIMAL ( 12, 2 ) COMMENT '预付款', `order_date` string COMMENT '订单日期', `cust_code` string COMMENT '客户', `agent_code` string COMMENT '代理商' );INSERT INTO orders VALUES('200100', '1000.00', '600.00', '2020-08-01', 'C00013', 'A003');INSERT INTO orders VALUES('200110', '3000.00', '500.00', '2020-04-15', 'C00019', 'A010');INSERT INTO orders VALUES('200107', '4500.00', '900.00', '2020-08-30', 'C00007', 'A010');INSERT INTO orders VALUES('200112', '2000.00', '400.00', '2020-05-30', 'C00016', 'A007'); INSERT INTO orders VALUES('200113', '4000.00', '600.00', '2020-06-10', 'C00022', 'A002');INSERT INTO orders VALUES('200102', '2000.00', '300.00', '2020-05-25', 'C00012', 'A012');INSERT INTO orders VALUES('200114', '3500.00', '2000.00', '2020-08-15', 'C00002','A008');INSERT INTO orders VALUES('200122', '2500.00', '400.00', '2020-09-16', 'C00003', 'A004');INSERT INTO orders VALUES('200118', '500.00', '100.00', '2020-07-20', 'C00023', 'A006');INSERT INTO orders VALUES('200119', '4000.00', '700.00', '2020-09-16', 'C00007', 'A010');INSERT INTO orders VALUES('200121', '1500.00', '600.00', '2020-09-23', 'C00008', 'A004');INSERT INTO orders VALUES('200130', '2500.00', '400.00', '2020-07-30', 'C00025', 'A011');INSERT INTO orders VALUES('200134', '4200.00', '1800.00', '2020-09-25', 'C00004','A005');INSERT INTO orders VALUES('200108', '4000.00', '600.00', '2020-02-15', 'C00008', 'A004');INSERT INTO orders VALUES('200103', '1500.00', '700.00', '2020-05-15', 'C00021', 'A005');INSERT INTO orders VALUES('200105', '2500.00', '500.00', '2020-07-18', 'C00025', 'A011');INSERT INTO orders VALUES('200109', '3500.00', '800.00', '2020-07-30', 'C00011', 'A010');INSERT INTO orders VALUES('200101', '3000.00', '1000.00', '2020-07-15', 'C00001','A008');INSERT INTO orders VALUES('200111', '1000.00', '300.00', '2020-07-10', 'C00020', 'A008');INSERT INTO orders VALUES('200104', '1500.00', '500.00', '2020-03-13', 'C00006', 'A004');INSERT INTO orders VALUES('200106', '2500.00', '700.00', '2020-04-20', 'C00005', 'A002');INSERT INTO orders VALUES('200125', '2000.00', '600.00', '2020-10-01', 'C00018', 'A005');INSERT INTO orders VALUES('200117', '800.00', '200.00', '2020-10-20', 'C00014', 'A001');INSERT INTO orders VALUES('200123', '500.00', '100.00', '2020-09-16', 'C00022', 'A002');INSERT INTO orders VALUES('200120', '500.00', '100.00', '2020-07-20', 'C00009', 'A002');INSERT INTO orders VALUES('200116', '500.00', '100.00', '2020-07-13', 'C00010', 'A009');INSERT INTO orders VALUES('200124', '500.00', '100.00', '2020-06-20', 'C00017', 'A007'); INSERT INTO orders VALUES('200126', '500.00', '100.00', '2020-06-24', 'C00022', 'A002');INSERT INTO orders VALUES('200129', '2500.00', '500.00', '2020-07-20', 'C00024', 'A006');INSERT INTO orders VALUES('200127', '2500.00', '400.00', '2020-07-20', 'C00015', 'A003');INSERT INTO orders VALUES('200128', '3500.00', '1500.00', '2020-07-20', 'C00009','A002');INSERT INTO orders VALUES('200135', '2000.00', '800.00', '2020-09-16', 'C00007', 'A010');INSERT INTO orders VALUES('200131', '900.00', '150.00', '2020-08-26', 'C00012', 'A012');INSERT INTO orders VALUES('200133', '1200.00', '400.00', '2020-06-29', 'C00009', 'A002');AVG() 和SUM()需求描述:
第三季度每个代理商的移动平均收入和总收入
SELECT agent_code, order_date, AVG( order_amount ) OVER ( PARTITION BY agent_code ORDER BY order_date) avg_rev, SUM( order_amount ) OVER ( PARTITION BY agent_code ORDER BY order_date ) total_rev FROMorders WHEREorder_date >= '2020-07-01' AND order_date <= '2020-09-30';结果输出
A002 2020-07-20 2000 4000A002 2020-07-20 2000 4000A002 2020-09-16 1500 4500A003 2020-07-20 2500 2500A003 2020-08-01 1750 3500A004 2020-09-16 2500 2500A004 2020-09-23 2000 4000A005 2020-09-25 4200 4200A006 2020-07-20 1500 3000A006 2020-07-20 1500 3000A008 2020-07-10 1000 1000A008 2020-07-15 2000 4000A008 2020-08-15 2500 7500A009 2020-07-13 500 500A010 2020-07-30 3500 3500A010 2020-08-30 4000 8000A010 2020-09-16 3500 14000A010 2020-09-16 3500 14000A011 2020-07-18 2500 2500A011 2020-07-30 2500 5000A012 2020-08-26 900 900FIRST_VALUE()和 LAST_VALUE()first_value: 取分组内排序后,截止到当前行,第一个值last_value: 取分组内排序后,截止到当前行,最后一个值需求描述
客户首次购买后多少天才进行下一次购买
SELECT cust_code, order_date, datediff(order_date,FIRST_VALUE ( order_date ) OVER ( PARTITION BY cust_code ORDER BY order_date )) next_order_gap FROMorders order by cust_code,next_order_gap结果输出
C00001 2020-07-15 0C00002 2020-08-15 0C00003 2020-09-16 0C00004 2020-09-25 0C00005 2020-04-20 0C00006 2020-03-13 0C00007 2020-08-30 0C00007 2020-09-16 17C00007 2020-09-16 17C00008 2020-02-15 0C00008 2020-09-23 221C00009 2020-06-29 0C00009 2020-07-20 21C00009 2020-07-20 21C00010 2020-07-13 0C00011 2020-07-30 0C00012 2020-05-25 0C00012 2020-08-26 93C00013 2020-08-01 0C00014 2020-10-20 0C00015 2020-07-20 0C00016 2020-05-30 0C00017 2020-06-20 0C00018 2020-10-01 0C00019 2020-04-15 0C00020 2020-07-10 0C00021 2020-05-15 0C00022 2020-06-10 0C00022 2020-06-24 14C00022 2020-09-16 98C00023 2020-07-20 0C00024 2020-07-20 0C00025 2020-07-18 0C00025 2020-07-30 12LEAD() 和 LAG()lead(value_expr[,offset[,default]]):用于统计窗口内往下第n行值。第一个参数为列名,第二个参数为往下第n行(可选,默认为1),第三个参数为默认值(当往下第n行为NULL时候,取默认值,如不指定,则为NULLlag(value_expr[,offset[,default]]): 与lead相反,用于统计窗口内往上第n行值。第一个参数为列名,第二个参数为往上第n行(可选,默认为1),第三个参数为默认值(当往上第n行为NULL时候,取默认值,如不指定,则为NULL)需求描述
代理商最近一次出售的最高订单金额是多少?
SELECT agent_code, order_amount, LAG ( order_amount, 1 ) OVER ( PARTITION BY agent_code ORDER BY order_amount DESC ) last_highest_amount FROM orders ORDER BY agent_code, order_amount DESC;结果输出
A001 800 NULLA002 4000 NULLA002 3500 4000A002 2500 3500A002 1200 2500A002 500 1200A002 500 500A002 500 500A003 2500 NULLA003 1000 2500A004 4000 NULLA004 2500 4000A004 1500 2500A004 1500 1500A005 4200 NULLA005 2000 4200A005 1500 2000A006 2500 NULLA006 500 2500A007 2000 NULLA007 500 2000A008 3500 NULLA008 3000 3500A008 1000 3000A009 500 NULLA010 4500 NULLA010 4000 4500A010 3500 4000A010 3000 3500A010 2000 3000A011 2500 NULLA011 2500 2500A012 2000 NULLA012 900 2000RANK() 和DENSE_RANK()
rank:对组中的数据进行排名,如果名次相同,则排名也相同,但是下一个名次的排名序号会出现不连续。比如查找具体条件的topN行。RANK() 排序为 (1,2,2,4)
dense_rank:dense_rank函数的功能与rank函数类似,dense_rank函数在生成序号时是连续的,而rank函数生成的序号有可能不连续。当出现名次相同时,则排名序号也相同。而下一个排名的序号与上一个排名序号是连续的。
DENSE_RANK() 排序为 (1,2,2,3)
需求描述
每月第二高的订单金额是多少?
SELECT order_num, order_date, order_amount, order_month FROM (SELECT order_num, order_date, order_amount, DATE_FORMAT( order_date, 'YYYY-MM' ) AS order_month, DENSE_RANK ( ) OVER ( PARTITION BY DATE_FORMAT( order_date, 'YYYY-MM' ) ORDER BY order_amount DESC ) order_rank FROM orders ) t WHERE order_rank = 2 ORDER BY order_date;结果输出
200106 2020-04-20 2500 2020-04200103 2020-05-15 1500 2020-05200133 2020-06-29 1200 2020-06200101 2020-07-15 3000 2020-07200114 2020-08-15 3500 2020-08200119 2020-09-16 4000 2020-09200117 2020-10-20 800 2020-10CUME_DIST()
cume_dist:如果按升序排列,则统计:小于等于当前值的行数/总行数(number of rows ≤ current row)/(total number of rows)。如果是降序排列,则统计:大于等于当前值的行数/总行数。比如,统计小于等于当前工资的人数占总人数的比例 ,用于累计统计。
需求描述
8月和9月每个订单的收入百分比
先查看一下8月和9月的数据,按订单金额排序
SELECT order_num, order_amount, order_date, agent_code FROM orders WHERE order_date >= '2020-08-01' AND order_date <= '2020-09-30' ORDER BY date_format( order_date, "YYYY-MM" ), order_amount;
其结果为:
SELECT
DATE_FORMAT( order_date, 'YYYY-MM' ) AS order_month,
agent_code,
order_amount,
CUME_DIST ( ) OVER ( PARTITION BY DATE_FORMAT( order_date, 'YYYY-MM' ) ORDER BY order_amount )
FROM
orders
WHERE
order_date >= '2020-08-01'
AND order_date <= '2020-09-30';
结果输出2020-08 A012 900 0.25
2020-08 A003 1000 0.5
2020-08 A008 3500 0.75
2020-08 A010 4500 1.0
2020-09 A002 500 0.16666666666666666
2020-09 A004 1500 0.3333333333333333
2020-09 A010 2000 0.5
2020-09 A004 2500 0.6666666666666666
2020-09 A010 4000 0.8333333333333334
2020-09 A005 4200 1.0
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