某电商网站的数据库设计（6）——创建查询销售数据的视图
电商数据库设计
·
某电商网站的数据库设计（6）——创建查询销售数据的视图
目录
创建视图查询店铺、平台、单品、小组、大组、品牌等的销售数据，所用到的视图如下：
-- ============================================================
-- 各类统计信息视图（单个分组条件）
-- 1、统计总的销售信息
-- 视图名：v_sales_all
-- 说明：统计总的销售信息
-- 2、按日期分组统计
-- 视图名：v_sales_date
-- 说明：统计每天的销售信息
-- 3、按店铺分组统计
-- 视图名：v_sales_store
-- 说明：统计每个店铺每天的销售信息
-- 4、按销售平台分组统计
-- 视图名：v_sales_platform
-- 说明：统计每个销售平台每天的销售信息
-- 5、按单品分组统计
-- 视图名：v_sales_product
-- 说明：统计每个单品每天的销售信息
-- 6、按小组分组统计
-- 视图名：v_sales_team
-- 说明：统计每个小组每天的销售信息
-- 7、按大组分组统计
-- 视图名：v_sales_large_group
-- 说明：统计每个大组每天的销售信息
-- 8、按品牌分组统计
-- 视图名：v_sales_brand
-- 说明：统计每个品牌每天的销售信息
-- ============================================================
1、统计总的销售信息
创建视图的SQL语句如下：
-- 1、统计总的销售信息
-- 视图名：v_sales_all
-- 说明：统计总的销售信息
-- 视图包含：买家数量（buyers）
-- 支付金额（pay）
-- 退款金额（refund）
-- 刷单数量（brush_order）
-- 刷单金额（brush_amount）
-- 佣金（commission）
-- 转化率（conversion_rate）：买家数量/访客数量
DROP VIEW IF EXISTS v_sales_all;
CREATE VIEW v_sales_all
AS
SELECT
SUM(v_sales.visitors) visitors,
SUM(v_sales.buyers) buyers,
SUM(v_sales.pay) pay,
SUM(v_sales.refund) refund,
SUM(v_sales.brush_order) brush_order,
SUM(v_sales.brush_amount) brush_amount,
SUM(v_sales.commission) commission,
ROUND(SUM(v_sales.buyers)/SUM(v_sales.visitors),4) conversion_rate
FROM
v_sales
;
查询视图数据：
/*
-- 数据查询语句
select '总计',
sum(visitors) `总访客数`,
sum(buyers) `总买家数`,
sum(pay) `支付总金额`,
sum(refund) `退款总金额`,
sum(brush_order) `总刷单数`,
sum(brush_amount) `总刷单金额`,
sum(commission) `总佣金`,
ROUND(sum(buyers)/sum(visitors),4) `总转化率`
from v_sales_all;
*/
mysql> select '总计',
-> sum(visitors) `总访客数`,
-> sum(buyers) `总买家数`,
-> sum(pay) `支付总金额`,
-> sum(refund) `退款总金额`,
-> sum(brush_order) `总刷单数`,
-> sum(brush_amount) `总刷单金额`,
-> sum(commission) `总佣金`,
-> ROUND(sum(buyers)/sum(visitors),4) `总转化率`
-> from v_sales_all;
+--------+--------------+--------------+-----------------+-----------------+--------------+-----------------+-----------+--------------+
| 总计 | 总访客数 | 总买家数 | 支付总金额 | 退款总金额 | 总刷单数 | 总刷单金额 | 总佣金 | 总转化率 |
+--------+--------------+--------------+-----------------+-----------------+--------------+-----------------+-----------+--------------+
| 总计 | 41745 | 13022 | 1317079.80 | 320177.14 | 11973 | 122036.81 | 41872.61 | 0.3119 |
+--------+--------------+--------------+-----------------+-----------------+--------------+-----------------+-----------+--------------+
1 row in set (0.01 sec)
2、按日期分组统计
创建视图的SQL语句如下：
-- 7、按日期分组统计
-- 视图名：v_sales_date
-- 说明：统计每天的销售信息
-- 视图包含：销售日期（sales_date）
-- 访客数量（visitors）
-- 买家数量（buyers）
-- 支付金额（pay）
-- 退款金额（refund）
-- 刷单数量（brush_order）
-- 刷单金额（brush_amount）
-- 佣金（commission）
-- 转化率（conversion_rate）：买家数量/访客数量
DROP VIEW IF EXISTS v_sales_date;
CREATE VIEW v_sales_date
AS
SELECT
v_sales.sales_date sales_date,
SUM(v_sales.visitors) visitors,
SUM(v_sales.buyers) buyers,
SUM(v_sales.pay) pay,
SUM(v_sales.refund) refund,
SUM(v_sales.brush_order) brush_order,
SUM(v_sales.brush_amount) brush_amount,
SUM(v_sales.commission) commission,
ROUND(SUM(v_sales.buyers)/SUM(v_sales.visitors),4) conversion_rate
FROM
v_sales
GROUP BY
sales_date
;
查询视图数据：
/*
-- 数据查询语句
select * from v_sales_date
union
select '总计',
sum(visitors) `总访客数`,
sum(buyers) `总买家数`,
sum(pay) `支付总金额`,
sum(refund) `退款总金额`,
sum(brush_order) `总刷单数`,
sum(brush_amount) `总刷单金额`,
sum(commission) `总佣金`,
ROUND(sum(buyers)/sum(visitors),4) `总转化率`
from v_sales;
*/
mysql> select * from v_sales_date
-> union
-> select '总计',
-> sum(visitors) `总访客数`,
-> sum(buyers) `总买家数`,
-> sum(pay) `支付总金额`,
-> sum(refund) `退款总金额`,
-> sum(brush_order) `总刷单数`,
-> sum(brush_amount) `总刷单金额`,
-> sum(commission) `总佣金`,
-> ROUND(sum(buyers)/sum(visitors),4) `总转化率`
-> from v_sales;
+---------------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
| sales_date | visitors | buyers | pay | refund | brush_order | brush_amount | commission | conversion_rate |
+---------------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
| 2022-01-01 00:00:00 | 13477 | 4049 | 429998.33 | 108550.69 | 3985 | 40952.89 | 13386.40 | 0.3004 |
| 2022-01-02 00:00:00 | 14675 | 4690 | 463066.32 | 104977.22 | 4023 | 40825.91 | 14498.77 | 0.3196 |
| 2022-01-03 00:00:00 | 13593 | 4283 | 424015.15 | 106649.23 | 3965 | 40258.01 | 13987.44 | 0.3151 |
| 总计 | 41745 | 13022 | 1317079.80 | 320177.14 | 11973 | 122036.81 | 41872.61 | 0.3119 |
+---------------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
4 rows in set (0.02 sec)
3、按店铺分组统计——全店汇总
创建视图的SQL语句如下：
-- 1、按店铺分组统计
-- 视图名：v_sales_store
-- 说明：统计每个店铺每天的销售信息
-- 视图包含：销售日期（sales_date）
-- 店铺编号（store_no）
-- 店铺名称（store_name）
-- 访客数量（visitors）
-- 买家数量（buyers）
-- 支付金额（pay）
-- 退款金额（refund）
-- 刷单数量（brush_order）
-- 刷单金额（brush_amount）
-- 佣金（commission）
-- 转化率（conversion_rate）：买家数量/访客数量
DROP VIEW IF EXISTS v_sales_store;
CREATE VIEW v_sales_store
AS
SELECT
v_sales.sales_date sales_date,
tb_store.store_no store_no,
tb_store.store_name store_name,
SUM(v_sales.visitors) visitors,
SUM(v_sales.buyers) buyers,
SUM(v_sales.pay) pay,
SUM(v_sales.refund) refund,
SUM(v_sales.brush_order) brush_order,
SUM(v_sales.brush_amount) brush_amount,
SUM(v_sales.commission) commission,
ROUND(SUM(v_sales.buyers)/SUM(v_sales.visitors),4) conversion_rate
FROM
v_sales INNER JOIN tb_store
on v_sales.store_no = tb_store.store_no
GROUP BY
sales_date,
store_no,
store_name
;
查询视图数据：
/*
-- 数据查询语句
select * from v_sales_store
union
select '','','总计',
sum(visitors) `总访客数`,
sum(buyers) `总买家数`,
sum(pay) `支付总金额`,
sum(refund) `退款总金额`,
sum(brush_order) `总刷单数`,
sum(brush_amount) `总刷单金额`,
sum(commission) `总佣金`,
ROUND(sum(buyers)/sum(visitors),4) `总转化率`
from v_sales_store;
*/
mysql> select * from v_sales_store
-> union
-> select '','','总计',
-> sum(visitors) `总访客数`,
-> sum(buyers) `总买家数`,
-> sum(pay) `支付总金额`,
-> sum(refund) `退款总金额`,
-> sum(brush_order) `总刷单数`,
-> sum(brush_amount) `总刷单金额`,
-> sum(commission) `总佣金`,
-> ROUND(sum(buyers)/sum(visitors),4) `总转化率`
-> from v_sales_store;
+---------------------+-------------+-----------------------------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
| sales_date | store_no | store_name | visitors | buyers | pay | refund | brush_order | brush_amount | commission | conversion_rate |
+---------------------+-------------+-----------------------------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
| 2022-01-01 00:00:00 | DERDN-JD001 | 戴尔电脑京东旗舰店 | 697 | 213 | 27519.56 | 6688.04 | 232 | 2604.82 | 647.45 | 0.3056 |
| 2022-01-01 00:00:00 | DERDN-TM001 | 戴尔电脑天猫旗舰店 | 571 | 180 | 30082.40 | 5857.42 | 213 | 1826.58 | 710.71 | 0.3152 |
| 2022-01-01 00:00:00 | FZDN-JD001 | 方正电脑京东旗舰店 | 761 | 203 | 26818.01 | 5277.98 | 258 | 1744.21 | 891.84 | 0.2668 |
| 2022-01-01 00:00:00 | FZDN-TM001 | 方正电脑天猫旗舰店 | 845 | 274 | 22806.63 | 8611.37 | 219 | 3487.13 | 976.03 | 0.3243 |
| 2022-01-01 00:00:00 | HPDN-JD001 | 惠普电脑京东旗舰店 | 911 | 251 | 26720.68 | 5649.48 | 256 | 1827.37 | 806.65 | 0.2755 |
| 2022-01-01 00:00:00 | HPDN-TM001 | 惠普电脑天猫旗舰店 | 634 | 252 | 25755.53 | 6735.82 | 273 | 2969.84 | 981.65 | 0.3975 |
| 2022-01-01 00:00:00 | JC-JD001 | 京瓷办公用品京东旗舰店 | 807 | 186 | 21702.70 | 4583.24 | 239 | 2719.84 | 584.39 | 0.2305 |
| 2022-01-01 00:00:00 | JC-TM001 | 京瓷办公用品天猫旗舰店 | 1113 | 374 | 32215.81 | 9109.17 | 238 | 2990.00 | 680.51 | 0.3360 |
| 2022-01-01 00:00:00 | LX-JD001 | 联想办公用品京东旗舰店 | 664 | 350 | 23126.32 | 8344.95 | 261 | 1558.50 | 1105.32 | 0.5271 |
| 2022-01-01 00:00:00 | LX-TM001 | 联想办公用品天猫旗舰店 | 759 | 141 | 27152.82 | 6396.27 | 260 | 2188.73 | 1290.08 | 0.1858 |
| 2022-01-01 00:00:00 | SZDN-JD001 | 神州电脑京东旗舰店 | 681 | 324 | 21460.44 | 5406.36 | 238 | 2901.82 | 674.50 | 0.4758 |
| 2022-01-01 00:00:00 | SZDN-TM001 | 神州电脑天猫旗舰店 | 811 | 210 | 33060.23 | 6560.90 | 280 | 1994.40 | 719.88 | 0.2589 |
| 2022-01-01 00:00:00 | XD-JD001 | 兄弟办公用品京东旗舰店 | 688 | 180 | 21546.57 | 5716.73 | 222 | 2605.93 | 711.91 | 0.2616 |
| 2022-01-01 00:00:00 | XD-TM001 | 兄弟办公用品天猫旗舰店 | 797 | 246 | 27388.41 | 6907.72 | 240 | 2930.44 | 776.49 | 0.3087 |
| 2022-01-01 00:00:00 | XP-JD001 | 夏普办公用品京东旗舰店 | 667 | 322 | 26928.56 | 8514.85 | 261 | 3259.20 | 930.07 | 0.4828 |
| 2022-01-01 00:00:00 | XP-TM001 | 夏普办公用品天猫旗舰店 | 2071 | 343 | 35713.66 | 8190.39 | 295 | 3344.08 | 898.92 | 0.1656 |
| 2022-01-02 00:00:00 | DERDN-JD001 | 戴尔电脑京东旗舰店 | 874 | 263 | 21116.87 | 7015.95 | 275 | 2605.00 | 902.77 | 0.3009 |
| 2022-01-02 00:00:00 | DERDN-TM001 | 戴尔电脑天猫旗舰店 | 824 | 307 | 34093.90 | 7563.07 | 265 | 1338.40 | 439.27 | 0.3726 |
| 2022-01-02 00:00:00 | FZDN-JD001 | 方正电脑京东旗舰店 | 716 | 224 | 17851.94 | 5776.53 | 304 | 2394.15 | 949.58 | 0.3128 |
| 2022-01-02 00:00:00 | FZDN-TM001 | 方正电脑天猫旗舰店 | 896 | 257 | 26942.76 | 6943.79 | 245 | 2788.62 | 881.16 | 0.2868 |
| 2022-01-02 00:00:00 | HPDN-JD001 | 惠普电脑京东旗舰店 | 770 | 280 | 25282.34 | 6570.39 | 241 | 2584.84 | 721.72 | 0.3636 |
| 2022-01-02 00:00:00 | HPDN-TM001 | 惠普电脑天猫旗舰店 | 575 | 269 | 24315.66 | 3923.43 | 235 | 1928.36 | 840.81 | 0.4678 |
| 2022-01-02 00:00:00 | JC-JD001 | 京瓷办公用品京东旗舰店 | 832 | 326 | 31244.11 | 4625.26 | 233 | 2724.77 | 827.51 | 0.3918 |
| 2022-01-02 00:00:00 | JC-TM001 | 京瓷办公用品天猫旗舰店 | 1198 | 375 | 60006.73 | 7885.10 | 259 | 4150.87 | 1103.15 | 0.3130 |
| 2022-01-02 00:00:00 | LX-JD001 | 联想办公用品京东旗舰店 | 851 | 331 | 28561.98 | 6628.57 | 267 | 2062.20 | 678.99 | 0.3890 |
| 2022-01-02 00:00:00 | LX-TM001 | 联想办公用品天猫旗舰店 | 712 | 283 | 37673.34 | 6753.44 | 310 | 3010.32 | 1033.50 | 0.3975 |
| 2022-01-02 00:00:00 | SZDN-JD001 | 神州电脑京东旗舰店 | 644 | 212 | 24724.24 | 7637.03 | 210 | 3050.36 | 1129.49 | 0.3292 |
| 2022-01-02 00:00:00 | SZDN-TM001 | 神州电脑天猫旗舰店 | 617 | 283 | 18694.41 | 6641.89 | 242 | 2539.47 | 1183.90 | 0.4587 |
| 2022-01-02 00:00:00 | XD-JD001 | 兄弟办公用品京东旗舰店 | 852 | 293 | 26590.28 | 7498.28 | 236 | 2537.69 | 842.71 | 0.3439 |
| 2022-01-02 00:00:00 | XD-TM001 | 兄弟办公用品天猫旗舰店 | 691 | 320 | 26803.71 | 6802.19 | 213 | 1876.97 | 550.63 | 0.4631 |
| 2022-01-02 00:00:00 | XP-JD001 | 夏普办公用品京东旗舰店 | 664 | 239 | 29285.12 | 6708.04 | 227 | 1567.07 | 1391.51 | 0.3599 |
| 2022-01-02 00:00:00 | XP-TM001 | 夏普办公用品天猫旗舰店 | 2959 | 428 | 29878.93 | 6004.26 | 261 | 3666.82 | 1022.07 | 0.1446 |
| 2022-01-03 00:00:00 | DERDN-JD001 | 戴尔电脑京东旗舰店 | 752 | 287 | 18603.18 | 7092.69 | 262 | 2672.66 | 860.80 | 0.3816 |
| 2022-01-03 00:00:00 | DERDN-TM001 | 戴尔电脑天猫旗舰店 | 815 | 281 | 26263.08 | 7122.86 | 230 | 3078.71 | 964.29 | 0.3448 |
| 2022-01-03 00:00:00 | FZDN-JD001 | 方正电脑京东旗舰店 | 909 | 281 | 27885.34 | 7258.70 | 232 | 2103.23 | 804.53 | 0.3091 |
| 2022-01-03 00:00:00 | FZDN-TM001 | 方正电脑天猫旗舰店 | 815 | 250 | 24438.31 | 5399.25 | 204 | 2494.04 | 1010.53 | 0.3067 |
| 2022-01-03 00:00:00 | HPDN-JD001 | 惠普电脑京东旗舰店 | 741 | 184 | 28899.63 | 7175.11 | 268 | 2707.73 | 612.12 | 0.2483 |
| 2022-01-03 00:00:00 | HPDN-TM001 | 惠普电脑天猫旗舰店 | 513 | 228 | 14124.18 | 5293.34 | 267 | 2128.49 | 1326.34 | 0.4444 |
| 2022-01-03 00:00:00 | JC-JD001 | 京瓷办公用品京东旗舰店 | 713 | 205 | 31527.92 | 5203.49 | 245 | 1932.17 | 833.86 | 0.2875 |
| 2022-01-03 00:00:00 | JC-TM001 | 京瓷办公用品天猫旗舰店 | 2119 | 259 | 38794.56 | 6110.72 | 238 | 4077.25 | 1053.79 | 0.1222 |
| 2022-01-03 00:00:00 | LX-JD001 | 联想办公用品京东旗舰店 | 659 | 354 | 24885.86 | 5458.75 | 260 | 1721.80 | 708.45 | 0.5372 |
| 2022-01-03 00:00:00 | LX-TM001 | 联想办公用品天猫旗舰店 | 861 | 293 | 20232.57 | 6967.05 | 236 | 3013.79 | 838.13 | 0.3403 |
| 2022-01-03 00:00:00 | SZDN-JD001 | 神州电脑京东旗舰店 | 713 | 309 | 24542.32 | 7084.30 | 242 | 2137.30 | 525.89 | 0.4334 |
| 2022-01-03 00:00:00 | SZDN-TM001 | 神州电脑天猫旗舰店 | 688 | 194 | 13442.51 | 9370.73 | 280 | 1844.08 | 522.31 | 0.2820 |
| 2022-01-03 00:00:00 | XD-JD001 | 兄弟办公用品京东旗舰店 | 567 | 355 | 31671.81 | 7668.54 | 312 | 1217.08 | 1075.64 | 0.6261 |
| 2022-01-03 00:00:00 | XD-TM001 | 兄弟办公用品天猫旗舰店 | 900 | 235 | 33380.35 | 5899.07 | 220 | 2553.57 | 998.89 | 0.2611 |
| 2022-01-03 00:00:00 | XP-JD001 | 夏普办公用品京东旗舰店 | 584 | 223 | 29328.39 | 7230.40 | 242 | 2529.14 | 1437.51 | 0.3818 |
| 2022-01-03 00:00:00 | XP-TM001 | 夏普办公用品天猫旗舰店 | 1244 | 345 | 35995.14 | 6314.23 | 227 | 4046.97 | 414.36 | 0.2773 |
| | | 总计 | 41745 | 13022 | 1317079.80 | 320177.14 | 11973 | 122036.81 | 41872.61 | 0.3119 |
+---------------------+-------------+-----------------------------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
49 rows in set (0.02 sec)
4、按销售平台分组统计
创建视图的SQL语句如下：
-- 2、按销售平台分组统计
-- 视图名：v_sales_platform
-- 说明：统计每个销售平台每天的销售信息
-- 视图包含：销售日期（sales_date）
-- 店铺编号（store_no）
-- 店铺名称（store_name）
-- 访客数量（visitors）
-- 买家数量（buyers）
-- 支付金额（pay）
-- 退款金额（refund）
-- 刷单数量（brush_order）
-- 刷单金额（brush_amount）
-- 佣金（commission）
-- 转化率（conversion_rate）：买家数量/访客数量
DROP VIEW IF EXISTS v_sales_platform;
CREATE VIEW v_sales_platform
AS
SELECT
v_sales.sales_date sales_date,
v_relation_store_platform.platform_no platform_no,
v_relation_store_platform.platform_name platform_name,
SUM(v_sales.visitors) visitors,
SUM(v_sales.buyers) buyers,
SUM(v_sales.pay) pay,
SUM(v_sales.refund) refund,
SUM(v_sales.brush_order) brush_order,
SUM(v_sales.brush_amount) brush_amount,
SUM(v_sales.commission) commission,
ROUND(SUM(v_sales.buyers)/SUM(v_sales.visitors),4) conversion_rate
FROM
v_sales INNER JOIN v_relation_store_platform
on v_sales.store_no = v_relation_store_platform.store_no
GROUP BY
sales_date,
platform_no,
platform_name
;
查询视图数据：
/*
-- 数据查询语句
select * from v_sales_platform
union
select '','','总计',
sum(visitors) `总访客数`,
sum(buyers) `总买家数`,
sum(pay) `支付总金额`,
sum(refund) `退款总金额`,
sum(brush_order) `总刷单数`,
sum(brush_amount) `总刷单金额`,
sum(commission) `总佣金`,
ROUND(sum(buyers)/sum(visitors),4) `总转化率`
from v_sales_store;
*/
mysql> select * from v_sales_platform
-> union
-> select '','','总计',
-> sum(visitors) `总访客数`,
-> sum(buyers) `总买家数`,
-> sum(pay) `支付总金额`,
-> sum(refund) `退款总金额`,
-> sum(brush_order) `总刷单数`,
-> sum(brush_amount) `总刷单金额`,
-> sum(commission) `总佣金`,
-> ROUND(sum(buyers)/sum(visitors),4) `总转化率`
-> from v_sales_store;
+---------------------+-------------+---------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
| sales_date | platform_no | platform_name | visitors | buyers | pay | refund | brush_order | brush_amount | commission | conversion_rate |
+---------------------+-------------+---------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
| 2022-01-01 00:00:00 | JD | 京东 | 5876 | 2029 | 195822.84 | 50181.63 | 1967 | 19221.69 | 6352.13 | 0.3453 |
| 2022-01-01 00:00:00 | TM | 天猫 | 7601 | 2020 | 234175.49 | 58369.06 | 2018 | 21731.20 | 7034.27 | 0.2658 |
| 2022-01-02 00:00:00 | JD | 京东 | 6203 | 2168 | 204656.88 | 52460.05 | 1993 | 19526.08 | 7444.28 | 0.3495 |
| 2022-01-02 00:00:00 | TM | 天猫 | 8472 | 2522 | 258409.44 | 52517.17 | 2030 | 21299.83 | 7054.49 | 0.2977 |
| 2022-01-03 00:00:00 | JD | 京东 | 5638 | 2198 | 217344.45 | 54171.98 | 2063 | 17021.11 | 6858.80 | 0.3899 |
| 2022-01-03 00:00:00 | TM | 天猫 | 7955 | 2085 | 206670.70 | 52477.25 | 1902 | 23236.90 | 7128.64 | 0.2621 |
| | | 总计 | 41745 | 13022 | 1317079.80 | 320177.14 | 11973 | 122036.81 | 41872.61 | 0.3119 |
+---------------------+-------------+---------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
7 rows in set (0.02 sec)
5、按单品分组统计
创建视图的SQL语句如下：
-- 3、按单品分组统计
-- 视图名：v_sales_product
-- 说明：统计每个单品每天的销售信息
-- 视图包含：销售日期（sales_date）
-- 单品编号（product_no）
-- 单品名称（product_name）
-- 访客数量（visitors）
-- 买家数量（buyers）
-- 支付金额（pay）
-- 退款金额（refund）
-- 刷单数量（brush_order）
-- 刷单金额（brush_amount）
-- 佣金（commission）
-- 转化率（conversion_rate）：买家数量/访客数量
DROP VIEW IF EXISTS v_sales_product;
CREATE VIEW v_sales_product
AS
SELECT
v_sales.sales_date sales_date,
v_sales.product_no product_no,
tb_product.product_name product_name,
SUM(v_sales.visitors) visitors,
SUM(v_sales.buyers) buyers,
SUM(v_sales.pay) pay,
SUM(v_sales.refund) refund,
SUM(v_sales.brush_order) brush_order,
SUM(v_sales.brush_amount) brush_amount,
SUM(v_sales.commission) commission,
ROUND(SUM(v_sales.buyers)/SUM(v_sales.visitors),4) conversion_rate
FROM
v_sales INNER JOIN tb_product
on v_sales.product_no = tb_product.product_no
GROUP BY
sales_date,
product_no,
product_name
;
查询视图数据：
/*
-- 数据查询语句
select * from v_sales_product
union
select '','','总计',
sum(visitors) `总访客数`,
sum(buyers) `总买家数`,
sum(pay) `支付总金额`,
sum(refund) `退款总金额`,
sum(brush_order) `总刷单数`,
sum(brush_amount) `总刷单金额`,
sum(commission) `总佣金`,
ROUND(sum(buyers)/sum(visitors),4) `总转化率`
from v_sales_store;
*/
mysql> select * from v_sales_product
-> union
-> select '','','总计',
-> sum(visitors) `总访客数`,
-> sum(buyers) `总买家数`,
-> sum(pay) `支付总金额`,
-> sum(refund) `退款总金额`,
-> sum(brush_order) `总刷单数`,
-> sum(brush_amount) `总刷单金额`,
-> sum(commission) `总佣金`,
-> ROUND(sum(buyers)/sum(visitors),4) `总转化率`
-> from v_sales_store;
+---------------------+------------+--------------------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
| sales_date | product_no | product_name | visitors | buyers | pay | refund | brush_order | brush_amount | commission | conversion_rate |
+---------------------+------------+--------------------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
| 2022-01-01 00:00:00 | DER-NS-01 | 戴尔笔记本 | 908 | 293 | 35127.05 | 7754.98 | 308 | 2856.63 | 962.69 | 0.3227 |
| 2022-01-01 00:00:00 | DER-NS-02 | 戴尔平板 | 360 | 100 | 22474.91 | 4790.48 | 137 | 1574.77 | 395.47 | 0.2778 |
| 2022-01-01 00:00:00 | FZ-NS-01 | 方正台式机 | 1091 | 348 | 32948.15 | 9538.52 | 289 | 3587.55 | 1426.80 | 0.3190 |
| 2022-01-01 00:00:00 | FZ-NS-02 | 方正一体机 | 515 | 129 | 16676.49 | 4350.83 | 188 | 1643.79 | 441.07 | 0.2505 |
| 2022-01-01 00:00:00 | HP-NS-04 | 惠普笔记本 | 499 | 177 | 11149.98 | 5046.92 | 187 | 1585.75 | 424.34 | 0.3547 |
| 2022-01-01 00:00:00 | HP-NS-05 | 惠普平板 | 1046 | 326 | 41326.23 | 7338.38 | 342 | 3211.46 | 1363.96 | 0.3117 |
| 2022-01-01 00:00:00 | JC-SF-01 | 京瓷复印机 | 1216 | 341 | 33728.54 | 8164.56 | 297 | 4129.34 | 1065.43 | 0.2804 |
| 2022-01-01 00:00:00 | JC-SF-02 | 京瓷一体机 | 704 | 219 | 20189.97 | 5527.85 | 180 | 1580.50 | 199.47 | 0.3111 |
| 2022-01-01 00:00:00 | LX-HF-01 | 联想打印机 | 978 | 314 | 34067.08 | 9355.00 | 315 | 3047.97 | 1730.76 | 0.3211 |
| 2022-01-01 00:00:00 | LX-HF-02 | 联想三合一一体机 | 445 | 177 | 16212.06 | 5386.22 | 206 | 699.26 | 664.64 | 0.3978 |
| 2022-01-01 00:00:00 | SZ_HF-01 | 神州台式机 | 406 | 184 | 13813.02 | 5149.93 | 169 | 1344.26 | 585.76 | 0.4532 |
| 2022-01-01 00:00:00 | SZ_HF-02 | 神州一体机 | 1086 | 350 | 40707.65 | 6817.33 | 349 | 3551.96 | 808.62 | 0.3223 |
| 2022-01-01 00:00:00 | XD-HF-01 | 兄弟打印机 | 1045 | 303 | 27888.76 | 8896.10 | 311 | 3459.92 | 854.14 | 0.2900 |
| 2022-01-01 00:00:00 | XD-HF-02 | 兄弟五合一一体机 | 440 | 123 | 21046.22 | 3728.35 | 151 | 2076.45 | 634.26 | 0.2795 |
| 2022-01-01 00:00:00 | XP-SR-01 | 夏普复印机 | 1499 | 420 | 38820.81 | 10026.10 | 377 | 3671.07 | 1228.91 | 0.2802 |
| 2022-01-01 00:00:00 | XP-SR-02 | 夏普一体机 | 1239 | 245 | 23821.41 | 6679.14 | 179 | 2932.21 | 600.08 | 0.1977 |
| 2022-01-02 00:00:00 | DER-NS-01 | 戴尔笔记本 | 1127 | 451 | 33782.74 | 9502.52 | 354 | 2310.00 | 1083.58 | 0.4002 |
| 2022-01-02 00:00:00 | DER-NS-02 | 戴尔平板 | 571 | 119 | 21428.03 | 5076.50 | 186 | 1633.40 | 258.46 | 0.2084 |
| 2022-01-02 00:00:00 | FZ-NS-01 | 方正台式机 | 1021 | 330 | 30070.33 | 7980.27 | 358 | 3137.16 | 1057.35 | 0.3232 |
| 2022-01-02 00:00:00 | FZ-NS-02 | 方正一体机 | 591 | 151 | 14724.37 | 4740.05 | 191 | 2045.61 | 773.39 | 0.2555 |
| 2022-01-02 00:00:00 | HP-NS-04 | 惠普笔记本 | 361 | 251 | 16074.64 | 2909.78 | 182 | 1884.91 | 552.16 | 0.6953 |
| 2022-01-02 00:00:00 | HP-NS-05 | 惠普平板 | 984 | 298 | 33523.36 | 7584.04 | 294 | 2628.29 | 1010.37 | 0.3028 |
| 2022-01-02 00:00:00 | JC-SF-01 | 京瓷复印机 | 1450 | 478 | 59070.92 | 7922.08 | 335 | 4267.64 | 1423.67 | 0.3297 |
| 2022-01-02 00:00:00 | JC-SF-02 | 京瓷一体机 | 580 | 223 | 32179.92 | 4588.28 | 157 | 2608.00 | 506.99 | 0.3845 |
| 2022-01-02 00:00:00 | LX-HF-01 | 联想打印机 | 1050 | 454 | 44636.51 | 8696.27 | 384 | 3519.78 | 1456.74 | 0.4324 |
| 2022-01-02 00:00:00 | LX-HF-02 | 联想三合一一体机 | 513 | 160 | 21598.81 | 4685.74 | 193 | 1552.74 | 255.75 | 0.3119 |
| 2022-01-02 00:00:00 | SZ_HF-01 | 神州台式机 | 484 | 142 | 16202.36 | 6106.92 | 126 | 1732.11 | 574.51 | 0.2934 |
| 2022-01-02 00:00:00 | SZ_HF-02 | 神州一体机 | 777 | 353 | 27216.29 | 8172.00 | 326 | 3857.72 | 1738.88 | 0.4543 |
| 2022-01-02 00:00:00 | XD-HF-01 | 兄弟打印机 | 1062 | 442 | 38186.20 | 8860.59 | 317 | 2910.51 | 1089.91 | 0.4162 |
| 2022-01-02 00:00:00 | XD-HF-02 | 兄弟五合一一体机 | 481 | 171 | 15207.79 | 5439.88 | 132 | 1504.15 | 303.43 | 0.3555 |
| 2022-01-02 00:00:00 | XP-SR-01 | 夏普复印机 | 1868 | 456 | 37774.34 | 7342.14 | 318 | 3153.80 | 1923.16 | 0.2441 |
| 2022-01-02 00:00:00 | XP-SR-02 | 夏普一体机 | 1755 | 211 | 21389.71 | 5370.16 | 170 | 2080.09 | 490.42 | 0.1202 |
| 2022-01-03 00:00:00 | DER-NS-01 | 戴尔笔记本 | 1044 | 399 | 28785.16 | 8880.56 | 338 | 3922.00 | 1250.15 | 0.3822 |
| 2022-01-03 00:00:00 | DER-NS-02 | 戴尔平板 | 523 | 169 | 16081.10 | 5334.99 | 154 | 1829.37 | 574.94 | 0.3231 |
| 2022-01-03 00:00:00 | FZ-NS-01 | 方正台式机 | 1069 | 312 | 38212.48 | 9533.30 | 289 | 3063.72 | 933.16 | 0.2919 |
| 2022-01-03 00:00:00 | FZ-NS-02 | 方正一体机 | 655 | 219 | 14111.17 | 3124.65 | 147 | 1533.55 | 881.90 | 0.3344 |
| 2022-01-03 00:00:00 | HP-NS-04 | 惠普笔记本 | 474 | 183 | 19387.43 | 4646.70 | 203 | 2527.28 | 611.14 | 0.3861 |
| 2022-01-03 00:00:00 | HP-NS-05 | 惠普平板 | 780 | 229 | 23636.38 | 7821.75 | 332 | 2308.94 | 1327.32 | 0.2936 |
| 2022-01-03 00:00:00 | JC-SF-01 | 京瓷复印机 | 1875 | 305 | 44438.49 | 7115.02 | 338 | 3938.06 | 1295.66 | 0.1627 |
| 2022-01-03 00:00:00 | JC-SF-02 | 京瓷一体机 | 957 | 159 | 25883.99 | 4199.19 | 145 | 2071.36 | 591.99 | 0.1661 |
| 2022-01-03 00:00:00 | LX-HF-01 | 联想打印机 | 978 | 414 | 29014.46 | 8325.56 | 332 | 3269.85 | 1049.22 | 0.4233 |
| 2022-01-03 00:00:00 | LX-HF-02 | 联想三合一一体机 | 542 | 233 | 16103.97 | 4100.24 | 164 | 1465.74 | 497.36 | 0.4299 |
| 2022-01-03 00:00:00 | SZ_HF-01 | 神州台式机 | 585 | 149 | 12994.85 | 5942.72 | 179 | 1318.73 | 128.93 | 0.2547 |
| 2022-01-03 00:00:00 | SZ_HF-02 | 神州一体机 | 816 | 354 | 24989.98 | 10512.31 | 343 | 2662.65 | 919.27 | 0.4338 |
| 2022-01-03 00:00:00 | XD-HF-01 | 兄弟打印机 | 1024 | 385 | 46576.88 | 9551.56 | 354 | 2745.87 | 1254.67 | 0.3760 |
| 2022-01-03 00:00:00 | XD-HF-02 | 兄弟五合一一体机 | 443 | 205 | 18475.28 | 4016.05 | 178 | 1024.78 | 819.86 | 0.4628 |
| 2022-01-03 00:00:00 | XP-SR-01 | 夏普复印机 | 1143 | 390 | 39917.45 | 9883.19 | 325 | 4269.33 | 1235.65 | 0.3412 |
| 2022-01-03 00:00:00 | XP-SR-02 | 夏普一体机 | 685 | 178 | 25406.08 | 3661.44 | 144 | 2306.78 | 616.22 | 0.2599 |
| | | 总计 | 41745 | 13022 | 1317079.80 | 320177.14 | 11973 | 122036.81 | 41872.61 | 0.3119 |
+---------------------+------------+--------------------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
49 rows in set (0.02 sec)
6、按小组分组统计
创建视图的SQL语句如下：
-- 4、按小组分组统计
-- 视图名：v_sales_team
-- 说明：统计每个小组每天的销售信息
-- 视图包含：销售日期（sales_date）
-- 小组编号（team_no）
-- 小组名称（team_name）
-- 小组组长姓名（team_header）
-- 访客数量（visitors）
-- 买家数量（buyers）
-- 支付金额（pay）
-- 退款金额（refund）
-- 刷单数量（brush_order）
-- 刷单金额（brush_amount）
-- 佣金（commission）
-- 转化率（conversion_rate）：买家数量/访客数量
DROP VIEW IF EXISTS v_sales_team;
CREATE VIEW v_sales_team
AS
SELECT
v_sales.sales_date sales_date,
v_sales.team_no team_no,
tb_team.team_name team_name,
tb_team.team_header team_header,
SUM(v_sales.visitors) visitors,
SUM(v_sales.buyers) buyers,
SUM(v_sales.pay) pay,
SUM(v_sales.refund) refund,
SUM(v_sales.brush_order) brush_order,
SUM(v_sales.brush_amount) brush_amount,
SUM(v_sales.commission) commission,
ROUND(SUM(v_sales.buyers)/SUM(v_sales.visitors),4) conversion_rate
FROM
v_sales INNER JOIN tb_team
on v_sales.team_no = tb_team.team_no
INNER JOIN tb_product
on v_sales.product_no = tb_product.product_no
GROUP BY
sales_date,
team_no,
team_name,
team_header
;
查询视图数据：
/*
-- 数据查询语句
select * from v_sales_team
union
select '','','','总计',
sum(visitors) `总访客数`,
sum(buyers) `总买家数`,
sum(pay) `支付总金额`,
sum(refund) `退款总金额`,
sum(brush_order) `总刷单数`,
sum(brush_amount) `总刷单金额`,
sum(commission) `总佣金`,
ROUND(sum(buyers)/sum(visitors),4) `总转化率`
from v_sales_store;
*/
mysql> select * from v_sales_team
-> union
-> select '','','','总计',
-> sum(visitors) `总访客数`,
-> sum(buyers) `总买家数`,
-> sum(pay) `支付总金额`,
-> sum(refund) `退款总金额`,
-> sum(brush_order) `总刷单数`,
-> sum(brush_amount) `总刷单金额`,
-> sum(commission) `总佣金`,
-> ROUND(sum(buyers)/sum(visitors),4) `总转化率`
-> from v_sales_store;
+---------------------+-----------+-----------------------+-------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
| sales_date | team_no | team_name | team_header | visitors | buyers | pay | refund | brush_order | brush_amount | commission | conversion_rate |
+---------------------+-----------+-----------------------+-------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
| 2022-01-01 00:00:00 | DZ01-XZ01 | 台式机销售小组 | 诸葛亮 | 3098 | 1011 | 104145.31 | 25856.61 | 995 | 10127.56 | 3262.25 | 0.3263 |
| 2022-01-01 00:00:00 | DZ01-XZ02 | 笔记本销售小组 | 庞统 | 2813 | 896 | 110078.17 | 24930.76 | 974 | 9228.61 | 3146.46 | 0.3185 |
| 2022-01-01 00:00:00 | DZ02-XZ03 | 打印机销售小组 | 司马懿 | 2908 | 917 | 99214.12 | 27365.67 | 983 | 9283.60 | 3883.80 | 0.3153 |
| 2022-01-01 00:00:00 | DZ02-XZ04 | 复印机销售小组 | 徐庶 | 4658 | 1225 | 116560.73 | 30397.65 | 1033 | 12313.12 | 3093.89 | 0.2630 |
| 2022-01-02 00:00:00 | DZ01-XZ01 | 台式机销售小组 | 诸葛亮 | 2873 | 976 | 88213.35 | 26999.24 | 1001 | 10772.60 | 4144.13 | 0.3397 |
| 2022-01-02 00:00:00 | DZ01-XZ02 | 笔记本销售小组 | 庞统 | 3043 | 1119 | 104808.77 | 25072.84 | 1016 | 8456.60 | 2904.57 | 0.3677 |
| 2022-01-02 00:00:00 | DZ02-XZ03 | 打印机销售小组 | 司马懿 | 3106 | 1227 | 119629.31 | 27682.48 | 1026 | 9487.18 | 3105.83 | 0.3950 |
| 2022-01-02 00:00:00 | DZ02-XZ04 | 复印机销售小组 | 徐庶 | 5653 | 1368 | 150414.89 | 25222.66 | 980 | 12109.53 | 4344.24 | 0.2420 |
| 2022-01-03 00:00:00 | DZ01-XZ01 | 台式机销售小组 | 诸葛亮 | 3125 | 1034 | 90308.48 | 29112.98 | 958 | 8578.65 | 2863.26 | 0.3309 |
| 2022-01-03 00:00:00 | DZ01-XZ02 | 笔记本销售小组 | 庞统 | 2821 | 980 | 87890.07 | 26684.00 | 1027 | 10587.59 | 3763.55 | 0.3474 |
| 2022-01-03 00:00:00 | DZ02-XZ03 | 打印机销售小组 | 司马懿 | 2987 | 1237 | 110170.59 | 25993.41 | 1028 | 8506.24 | 3621.11 | 0.4141 |
| 2022-01-03 00:00:00 | DZ02-XZ04 | 复印机销售小组 | 徐庶 | 4660 | 1032 | 135646.01 | 24858.84 | 952 | 12585.53 | 3739.52 | 0.2215 |
| | | | 总计 | 41745 | 13022 | 1317079.80 | 320177.14 | 11973 | 122036.81 | 41872.61 | 0.3119 |
+---------------------+-----------+-----------------------+-------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
13 rows in set (0.01 sec)
7、按大组分组统计
创建视图的SQL语句如下：
-- 5、按大组分组统计
-- 视图名：v_sales_large_group
-- 说明：统计每个大组每天的销售信息
-- 视图包含：销售日期（sales_date）
-- 大组编号（lg_no）
-- 大组名称（lg_name）
-- 小组组长姓名（team_header）
-- 访客数量（visitors）
-- 买家数量（buyers）
-- 支付金额（pay）
-- 退款金额（refund）
-- 刷单数量（brush_order）
-- 刷单金额（brush_amount）
-- 佣金（commission）
-- 转化率（conversion_rate）：买家数量/访客数量
DROP VIEW IF EXISTS v_sales_large_group;
CREATE VIEW v_sales_large_group
AS
SELECT
v_sales.sales_date sales_date,
v_relation_team_largegroup.lg_no largegroup_no,
v_relation_team_largegroup.lg_name largegroup_name,
v_relation_team_largegroup.lg_header largegroup_header,
SUM(v_sales.visitors) visitors,
SUM(v_sales.buyers) buyers,
SUM(v_sales.pay) pay,
SUM(v_sales.refund) refund,
SUM(v_sales.brush_order) brush_order,
SUM(v_sales.brush_amount) brush_amount,
SUM(v_sales.commission) commission,
ROUND(SUM(v_sales.buyers)/SUM(v_sales.visitors),4) conversion_rate
FROM
v_sales INNER JOIN v_relation_team_largegroup
on v_sales.team_no = v_relation_team_largegroup.team_no
GROUP BY
sales_date,
largegroup_no,
largegroup_name,
largegroup_header
;
查询视图数据：
/*
-- 数据查询语句
select * from v_sales_large_group
union
select '','','','总计',
sum(visitors) `总访客数`,
sum(buyers) `总买家数`,
sum(pay) `支付总金额`,
sum(refund) `退款总金额`,
sum(brush_order) `总刷单数`,
sum(brush_amount) `总刷单金额`,
sum(commission) `总佣金`,
ROUND(sum(buyers)/sum(visitors),4) `总转化率`
from v_sales;
*/
mysql> select * from v_sales_large_group
-> union
-> select '','','','总计',
-> sum(visitors) `总访客数`,
-> sum(buyers) `总买家数`,
-> sum(pay) `支付总金额`,
-> sum(refund) `退款总金额`,
-> sum(brush_order) `总刷单数`,
-> sum(brush_amount) `总刷单金额`,
-> sum(commission) `总佣金`,
-> ROUND(sum(buyers)/sum(visitors),4) `总转化率`
-> from v_sales;
+---------------------+---------------+--------------------------+-------------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
| sales_date | largegroup_no | largegroup_name | largegroup_header | visitors | buyers | pay | refund | brush_order | brush_amount | commission | conversion_rate |
+---------------------+---------------+--------------------------+-------------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
| 2022-01-01 00:00:00 | DZ01 | 电脑销售大组 | 刘备 | 5911 | 1907 | 214223.48 | 50787.37 | 1969 | 19356.17 | 6408.71 | 0.3226 |
| 2022-01-01 00:00:00 | DZ02 | 打印设备销售大组 | 曹操 | 7566 | 2142 | 215774.85 | 57763.32 | 2016 | 21596.72 | 6977.69 | 0.2831 |
| 2022-01-02 00:00:00 | DZ01 | 电脑销售大组 | 刘备 | 5916 | 2095 | 193022.12 | 52072.08 | 2017 | 19229.20 | 7048.70 | 0.3541 |
| 2022-01-02 00:00:00 | DZ02 | 打印设备销售大组 | 曹操 | 8759 | 2595 | 270044.20 | 52905.14 | 2006 | 21596.71 | 7450.07 | 0.2963 |
| 2022-01-03 00:00:00 | DZ01 | 电脑销售大组 | 刘备 | 5946 | 2014 | 178198.55 | 55796.98 | 1985 | 19166.24 | 6626.81 | 0.3387 |
| 2022-01-03 00:00:00 | DZ02 | 打印设备销售大组 | 曹操 | 7647 | 2269 | 245816.60 | 50852.25 | 1980 | 21091.77 | 7360.63 | 0.2967 |
| | | | 总计 | 41745 | 13022 | 1317079.80 | 320177.14 | 11973 | 122036.81 | 41872.61 | 0.3119 |
+---------------------+---------------+--------------------------+-------------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
7 rows in set (0.02 sec)
8、按品牌分组统计
创建视图的SQL语句如下：
-- 6、按品牌分组统计
-- 视图名：v_sales_brand
-- 说明：统计每个品牌每天的销售信息
-- 视图包含：销售日期（sales_date）
-- 品牌编号（brand_no）
-- 品牌名称（brand_name）
-- 访客数量（visitors）
-- 买家数量（buyers）
-- 支付金额（pay）
-- 退款金额（refund）
-- 刷单数量（brush_order）
-- 刷单金额（brush_amount）
-- 佣金（commission）
-- 转化率（conversion_rate）：买家数量/访客数量
DROP VIEW IF EXISTS v_sales_brand;
CREATE VIEW v_sales_brand
AS
SELECT
v_sales.sales_date sales_date,
v_relation_product_brand.brand_no brand_no,
v_relation_product_brand.brand_name brand_name,
SUM(v_sales.visitors) visitors,
SUM(v_sales.buyers) buyers,
SUM(v_sales.pay) pay,
SUM(v_sales.refund) refund,
SUM(v_sales.brush_order) brush_order,
SUM(v_sales.brush_amount) brush_amount,
SUM(v_sales.commission) commission,
ROUND(SUM(v_sales.buyers)/SUM(v_sales.visitors),4) conversion_rate
FROM
v_sales INNER JOIN v_relation_product_brand
on v_sales.product_no = v_relation_product_brand.product_no
GROUP BY
sales_date,
brand_no,
brand_name
;
查询视图数据：
/*
-- 数据查询语句
select * from v_sales_brand
union
select '','','总计',
sum(visitors) `总访客数`,
sum(buyers) `总买家数`,
sum(pay) `支付总金额`,
sum(refund) `退款总金额`,
sum(brush_order) `总刷单数`,
sum(brush_amount) `总刷单金额`,
sum(commission) `总佣金`,
ROUND(sum(buyers)/sum(visitors),4) `总转化率`
from v_sales;
*/
mysql> select * from v_sales_brand
-> union
-> select '','','总计',
-> sum(visitors) `总访客数`,
-> sum(buyers) `总买家数`,
-> sum(pay) `支付总金额`,
-> sum(refund) `退款总金额`,
-> sum(brush_order) `总刷单数`,
-> sum(brush_amount) `总刷单金额`,
-> sum(commission) `总佣金`,
-> ROUND(sum(buyers)/sum(visitors),4) `总转化率`
-> from v_sales;
+---------------------+----------+------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
| sales_date | brand_no | brand_name | visitors | buyers | pay | refund | brush_order | brush_amount | commission | conversion_rate |
+---------------------+----------+------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
| 2022-01-01 00:00:00 | B101 | 方正 | 1606 | 477 | 49624.64 | 13889.35 | 477 | 5231.34 | 1867.87 | 0.2970 |
| 2022-01-01 00:00:00 | B102 | 神州 | 1492 | 534 | 54520.67 | 11967.26 | 518 | 4896.22 | 1394.38 | 0.3579 |
| 2022-01-01 00:00:00 | B201 | 戴尔 | 1268 | 393 | 57601.96 | 12545.46 | 445 | 4431.40 | 1358.16 | 0.3099 |
| 2022-01-01 00:00:00 | B202 | 惠普 | 1545 | 503 | 52476.21 | 12385.30 | 529 | 4797.21 | 1788.30 | 0.3256 |
| 2022-01-01 00:00:00 | B301 | 联想 | 1423 | 491 | 50279.14 | 14741.22 | 521 | 3747.23 | 2395.40 | 0.3450 |
| 2022-01-01 00:00:00 | B302 | 兄弟 | 1485 | 426 | 48934.98 | 12624.45 | 462 | 5536.37 | 1488.40 | 0.2869 |
| 2022-01-01 00:00:00 | B401 | 京瓷 | 1920 | 560 | 53918.51 | 13692.41 | 477 | 5709.84 | 1264.90 | 0.2917 |
| 2022-01-01 00:00:00 | B402 | 夏普 | 2738 | 665 | 62642.22 | 16705.24 | 556 | 6603.28 | 1828.99 | 0.2429 |
| 2022-01-02 00:00:00 | B101 | 方正 | 1612 | 481 | 44794.70 | 12720.32 | 549 | 5182.77 | 1830.74 | 0.2984 |
| 2022-01-02 00:00:00 | B102 | 神州 | 1261 | 495 | 43418.65 | 14278.92 | 452 | 5589.83 | 2313.39 | 0.3925 |
| 2022-01-02 00:00:00 | B201 | 戴尔 | 1698 | 570 | 55210.77 | 14579.02 | 540 | 3943.40 | 1342.04 | 0.3357 |
| 2022-01-02 00:00:00 | B202 | 惠普 | 1345 | 549 | 49598.00 | 10493.82 | 476 | 4513.20 | 1562.53 | 0.4082 |
| 2022-01-02 00:00:00 | B301 | 联想 | 1563 | 614 | 66235.32 | 13382.01 | 577 | 5072.52 | 1712.49 | 0.3928 |
| 2022-01-02 00:00:00 | B302 | 兄弟 | 1543 | 613 | 53393.99 | 14300.47 | 449 | 4414.66 | 1393.34 | 0.3973 |
| 2022-01-02 00:00:00 | B401 | 京瓷 | 2030 | 701 | 91250.84 | 12510.36 | 492 | 6875.64 | 1930.66 | 0.3453 |
| 2022-01-02 00:00:00 | B402 | 夏普 | 3623 | 667 | 59164.05 | 12712.30 | 488 | 5233.89 | 2413.58 | 0.1841 |
| 2022-01-03 00:00:00 | B101 | 方正 | 1724 | 531 | 52323.65 | 12657.95 | 436 | 4597.27 | 1815.06 | 0.3080 |
| 2022-01-03 00:00:00 | B102 | 神州 | 1401 | 503 | 37984.83 | 16455.03 | 522 | 3981.38 | 1048.20 | 0.3590 |
| 2022-01-03 00:00:00 | B201 | 戴尔 | 1567 | 568 | 44866.26 | 14215.55 | 492 | 5751.37 | 1825.09 | 0.3625 |
| 2022-01-03 00:00:00 | B202 | 惠普 | 1254 | 412 | 43023.81 | 12468.45 | 535 | 4836.22 | 1938.46 | 0.3285 |
| 2022-01-03 00:00:00 | B301 | 联想 | 1520 | 647 | 45118.43 | 12425.80 | 496 | 4735.59 | 1546.58 | 0.4257 |
| 2022-01-03 00:00:00 | B302 | 兄弟 | 1467 | 590 | 65052.16 | 13567.61 | 532 | 3770.65 | 2074.53 | 0.4022 |
| 2022-01-03 00:00:00 | B401 | 京瓷 | 2832 | 464 | 70322.48 | 11314.21 | 483 | 6009.42 | 1887.65 | 0.1638 |
| 2022-01-03 00:00:00 | B402 | 夏普 | 1828 | 568 | 65323.53 | 13544.63 | 469 | 6576.11 | 1851.87 | 0.3107 |
| | | 总计 | 41745 | 13022 | 1317079.80 | 320177.14 | 11973 | 122036.81 | 41872.61 | 0.3119 |
+---------------------+----------+------------+----------+--------+------------+-----------+-------------+--------------+------------+-----------------+
25 rows in set (0.01 sec)
腾讯云面向开发者汇聚海量精品云计算使用和开发经验，营造开放的云计算技术生态圈。
更多推荐
3
0- 0
已为社区贡献5条内容
所有评论(0)