天池SQL训练营(六)-综合练习题-10道经典题目

如果你还没有学习过SQL训练营的以下知识，请查阅主页博文学习：

Task 1 SQL基础：初识数据库与SQL-安装与基本介绍等
Task 2 SQL基础：查询与排序-select、运算符、聚合分组查询等
Task 3 SQL进阶：复杂查询方法-视图、子查询、函数等
Task 4 SQL进阶： 集合运算-表的加减法和join等
Task 5 SQL进阶：SQL高级处理-窗口函数等

下载相关创建表格和插入数据脚本

这里为了方便大家，数据脚本已经给大家准备好啦。
点击下方链接直接下载
创建数据表脚本：http://tianchi-media.oss-cn-beijing.aliyuncs.com/dragonball/SQL/create_table.sql
插入数据脚本：https://tianchi-media.oss-cn-beijing.aliyuncs.com/dragonball/SQL/data.zip
大家下载好脚本后，先在MySQL环境中运行create_table.sql脚本，创建数据表，然后解压下载好的data.zip，解压后目录如下：

8-10ccf_offline_stage1_train.sql
6-winequality-white.sql
5-8-10ccf_online_stage1_train.sql
4-macro industry.sql
3-ccf_offline_stage1_test_revised.sql
2-winequality-red.sql
1-9income statement.sql
1-9company operating.sql
1-7market data.sql

脚本文件名前面的序号表示用到该数据集的题目序号，例如1-7market data.sql表示第1题和第7题用到了该数据集。
同样的，这里给大家的也是sql脚本，里面是插入数据的语句，大家只需打开后在MySQL环境中运行即可将数据导入到数据表中。

练习题1：将三张表中的TICKER_SYMBOL为600383和600048的信息合并在一起。

数据来源：https://tianchi.aliyun.com/dataset/dataDetail?dataId=1074
请使用A股上市公司季度营收预测数据集《Income Statement.xls》和《Company Operating.xlsx》和《Market Data.xlsx》，以Market Data为主表，将三张表中的TICKER_SYMBOL为600383和600048的信息合并在一起。只需要显示以下字段。

表名	字段名
Income Statement	TICKER_SYMBOL
Income Statement	END_DATE
Income Statement	T_REVENUE
Income Statement	T_COGS
Income Statement	N_INCOME
Market Data	TICKER_SYMBOL
Market Data	END_DATE_
Market Data	CLOSE_PRICE
Company Operating	TICKER_SYMBOL
Company Operating	INDIC_NAME_EN
Company Operating	END_DATE
Company Operating	VALUE

SELECT MarketData.*,
 OperatingData.INDIC_NAME_EN,
 OperatingData.VALUE,
 IncomeStatement.N_INCOME,
 IncomeStatement.T_COGS,
 IncomeStatement.T_REVENUE 
 FROM ( 
 SELECT TICKER_SYMBOL,
 END_DATE,
 CLOSE_PRICE
 FROM `market data` 
 WHERE TICKER_SYMBOL IN ('600383','600048') ) MarketData
 LEFT JOIN -- operating data
 (SELECT TICKER_SYMBOL,
 		INDIC_NAME_EN,
		END_DATE,
 		VALUE 
 	FROM `company operating`
 	WHERE TICKER_SYMBOL IN ('600383','600048') ) OperatingData
 ON MarketData.TICKER_SYMBOL = OperatingData.TICKER_SYMBOL
 AND MarketData.END_DATE = OperatingData.END_DATE
 LEFT JOIN -- income statement
 (SELECT DISTINCT TICKER_SYMBOL,
 END_DATE,
 T_REVENUE,
 T_COGS,
 N_INCOME
 FROM `income statement`
 WHERE TICKER_SYMBOL IN ('600383','600048') ) IncomeStatement
ON MarketData.TICKER_SYMBOL = IncomeStatement.TICKER_SYMBOL
 AND MarketData.END_DATE = IncomeStatement.END_DATE
ORDER BY MarketData.TICKER_SYMBOL, MarketData.END_DATE

练习题2：找出 pH=3.03的所有红葡萄酒，然后，对其 citric acid 进行中式排名

数据来源：https://tianchi.aliyun.com/dataset/dataDetail?dataId=44
请使用 Wine Quality Data 数据集《winequality-red.csv》，找出 pH=3.03的所有红葡萄酒，然后，对其 citric acid 进行中式排名（相同排名的下一个名次应该是下一个连续的整数值。换句话说，名次之间不应该有“间隔”）

SELECT pH, 
	`citric acid`,
  DENSE_RANK() OVER (ORDER BY `citric acid`) AS rankn
FROM `winequality-red`
WHERE pH= 3.03;

练习题3：发放优惠券总金额最多和发放优惠券张数最多的商家。

数据来源：https://tianchi.aliyun.com/competition/entrance/231593/information
使用Coupon Usage Data for O2O中的数据集《ccf_offline_stage1_test_revised.csv》，试分别找出在2016年7月期间，发放优惠券总金额最多和发放优惠券张数最多的商家。
这里只考虑满减的金额，不考虑打几折的优惠券。

-- 发放优惠券总?额最多的商家
SELECT Merchant_id,
 -- SUM(SUBSTRING_INDEX(`Discount_rate`,':', 1)) AS sale_amount,
 SUM(SUBSTRING_INDEX(`Discount_rate`,':',-1)) AS discount_amount
 FROM ccf_offline_stage1_test_revised
WHERE Date_received BETWEEN '2016-07-01' AND '2016-07-31'
GROUP BY Merchant_id
ORDER BY discount_amount DESC
LIMIT 1;

-- 发放优惠券张数最多的商家
SELECT Merchant_id,COUNT(1) AS cnt
	FROM ccf_offline_stage1_test_revised
WHERE Date_received BETWEEN '2016-07-01' AND '2016-07-31'
GROUP BY Merchant_id
ORDER BY cnt DESC
LIMIT 1;

练习题4：计算全社会用电量

数据来源：https://tianchi.aliyun.com/dataset/dataDetail?dataId=1074
请使用A股上市公司季度营收预测中的数据集《Macro&Industry.xlsx》中的sheet-INDIC_DATA，请计算全社会用电量:第一产业:当月值在2015年用电最高峰是发生在哪月？并且相比去年同期增长/减少了多少个百分比？

-- 2015年?电最?峰是发?在哪?
SELECT PERIOD_DATE,
 MAX(DATA_VALUE) FianlValue
 FROM `macro industry`
WHERE INDIC_ID = '2020101522'
 AND YEAR(PERIOD_DATE) = 2015
GROUP BY PERIOD_DATE
ORDER BY FianlValue DESC
LIMIT 1;

-- 并且相?去年同期增?/减少了多少个百分?？
SELECT BaseData.*,
 (BaseData.FianlValue - YoY.FianlValue) / YoY.FianlValue YoY
 FROM (SELECT PERIOD_DATE,
   MAX(DATA_VALUE) FianlValue
   FROM `macro industry`
   WHERE INDIC_ID = '2020101522'
   	AND YEAR(PERIOD_DATE) = 2015
   GROUP BY PERIOD_DATE 
   ORDER BY FianlValue DESC
   	LIMIT 1) BaseData
 LEFT JOIN -- YOY 
   (SELECT PERIOD_DATE,
   MAX(DATA_VALUE) FianlValue
   FROM `macro industry`
   WHERE INDIC_ID = '2020101522'
   	AND YEAR(PERIOD_DATE) = 2014
   GROUP BY PERIOD_DATE ) YoY
 ON YEAR(BaseData.PERIOD_DATE) = YEAR(YoY.PERIOD_DATE) + 1
 AND MONTH(BaseData.PERIOD_DATE) = MONTH(YoY.PERIOD_DATE);

练习题5：找出优惠券弃用率最高的商家

数据来源：https://tianchi.aliyun.com/competition/entrance/231593/information
使用Coupon Usage Data for O2O中的数据集《ccf_online_stage1_train.csv》，试统计在2016年6月期间，线上总体优惠券弃用率为多少？并找出优惠券弃用率最高的商家。
弃用率 = 被领券但未使用的优惠券张数 / 总的被领取优惠券张数

-- 2016年6?期间，线上总体优惠券弃?率为多少？
SELECT SUM(CASE WHEN Date='0000-00-00' AND Coupon_id IS NOT NULL
               THEN 1
               ELSE 0
               END) /
   SUM(CASE WHEN Coupon_id IS NOT NULL
       THEN 1
       ELSE 0
       END) AS discard_rate
FROM ccf_online_stage1_train
WHERE Date_received BETWEEN '2016-06-01' AND '2016-06-30';

-- 2016年6?期间，优惠券弃?率最?的商家？
SELECT Merchant_id, 
 SUM(CASE WHEN Date = '0000-00-00' AND Coupon_id IS NOT NULL 
         THEN 1
         ELSE 0
         END) /
   SUM(CASE WHEN Coupon_id IS NOT NULL
       THEN 1
       ELSE 0
       END) AS discard_rate
 FROM ccf_online_stage1_train
WHERE Date_received BETWEEN '2016-06-01' AND '2016-06-30'
GROUP BY Merchant_id
ORDER BY discard_rate DESC
LIMIT 1;

练习题6：找出 pH=3.63的所有白葡萄酒，然后，对其 residual sugar 量进行英式排名

数据来源：https://tianchi.aliyun.com/dataset/dataDetail?dataId=44
请使用 Wine Quality Data 数据集《winequality-white.csv》，找出 pH=3.63的所有白葡萄酒，然后，对其 residual sugar 量进行英式排名（非连续的排名）

SELECT pH, 
 `residual sugar`,
 RANK() OVER (ORDER BY `residual sugar`) AS rankn
 FROM `winequality-white`
WHERE pH= 3.63;

练习题7：市值最大的三个行业是哪些

数据来源：https://tianchi.aliyun.com/dataset/dataDetail?dataId=1074
请使用A股上市公司季度营收预测中的数据集《Market Data.xlsx》中的sheet-DATA，
计算截止到2018年底，市值最大的三个行业是哪些？以及这三个行业里市值最大的三个公司是哪些？（每个行业找出前三大的公司，即一共要找出9个）

-- 计算截?到2018年底，市值最?的三个?业是哪些？
SELECT TYPE_NAME_CN,
 SUM(MARKET_VALUE)
 FROM `market data`
WHERE YEAR(END_DATE) = 2018
GROUP BY TYPE_NAME_CN
ORDER BY SUM(MARKET_VALUE) DESC
LIMIT 3;

-- 这三个?业?市值最?的三个公司是哪些？思路：求前三得行业以及每个行业前三的公司
SELECT BaseData.TYPE_NAME_CN,
 BaseData.TICKER_SYMBOL
 FROM (SELECT TYPE_NAME_CN,
   TICKER_SYMBOL,
   MARKET_VALUE,
   ROW_NUMBER() OVER(PARTITION BY TYPE_NAME_CN ORDER BY MARKET_VALUE)
  CompanyRanking
   FROM `market data` ) BaseData
 LEFT JOIN
   ( SELECT TYPE_NAME_CN,
   SUM(MARKET_VALUE)
   FROM `market data`
   WHERE YEAR(END_DATE) = 2018
   GROUP BY TYPE_NAME_CN
   ORDER BY SUM(MARKET_VALUE) DESC
   LIMIT 3 ) top3Type
 ON BaseData.TYPE_NAME_CN = top3Type.TYPE_NAME_CN
WHERE BaseData.CompanyRanking <= 3
 AND top3Type.TYPE_NAME_CN IS NOT NULL

练习题8：线上线下累计优惠券使用次数最多的顾客。

数据来源：https://tianchi.aliyun.com/competition/entrance/231593/information
使用Coupon Usage Data for O2O中的数据集《ccf_online_stage1_train.csv》和《ccf_offline_stage1_train.csv》，试找出在2016年6月期间，线上线下累计优惠券使用次数最多的顾客。

SELECT User_id,
 SUM(couponCount) couponCount
 FROM (SELECT User_id,
   count(*) couponCount
   FROM `ccf_online_stage1_train`
   WHERE (Date != 'null' AND Coupon_id != 'null')
   AND (LEFT(DATE,7)='2016-06' )
   GROUP BY User_id
   UNION ALL 
   SELECT User_id,
   COUNT(*) couponCount
   FROM `ccf_offline_stage1_train`
   WHERE (Date != 'null' AND Coupon_id != 'null')
   AND (LEFT(DATE,7)='2016-06' )
   GROUP BY User_id ) BaseData
GROUP BY User_id
ORDER BY SUM(couponCount) DESC
LIMIT 1

练习题9：白云机场旅客吞吐量最高的那一季度对应的净利润是多少？

数据来源：https://tianchi.aliyun.com/dataset/dataDetail?dataId=1074
请使用A股上市公司季度营收预测数据集《Income Statement.xls》中的sheet-General Business和《Company Operating.xlsx》中的sheet-EN。
找出在数据集所有年份中，按季度统计，白云机场旅客吞吐量最高的那一季度对应的净利润是多少？（注意，是单季度对应的净利润，非累计净利润。）

-- 因为正好是第?季度，所以不需要减。 如果是2季度，单季度净利润需要?2季度的值减去1?份的
SELECT *
 FROM (SELECT TICKER_SYMBOL,
   YEAR(END_DATE) Year,
   QUARTER(END_DATE) QUARTER,
   SUM(VALUE) Amount
   FROM `company operating`
   WHERE INDIC_NAME_EN = 'Baiyun Airport:Passenger throughput'
   GROUP BY TICKER_SYMBOL,YEAR(END_DATE),QUARTER(END_DATE)
   ORDER BY SUM(VALUE) DESC
   LIMIT 1 ) BaseData
 LEFT JOIN -- income statement
   (SELECT TICKER_SYMBOL,
   YEAR(END_DATE) Year,
   QUARTER(END_DATE) QUARTER,
   SUM(N_INCOME) Amount
   FROM `income statement`
   GROUP BY TICKER_SYMBOL,YEAR(END_DATE),QUARTER(END_DATE) ) Income
 ON BaseData.TICKER_SYMBOL = Income.TICKER_SYMBOL
 AND BaseData.Year = Income.Year
 AND BaseData.QUARTER = Income.QUARTER;

练习题10：线上线下累计被使用优惠券满减最多的前3名商家

数据来源：https://tianchi.aliyun.com/competition/entrance/231593/information
使用Coupon Usage Data for O2O中的数据集《ccf_online_stage1_train.csv》和《ccf_offline_stage1_train.csv》，试找出在2016年6月期间，线上线下累计被使用优惠券满减最多的前3名商家。
比如商家A，消费者A在其中使用了一张200减50的，消费者B使用了一张30减1的，那么商家A累计被使用优惠券满减51元。

SELECT Merchant_id,
 SUM(discount_amount) discount_amount
 FROM (SELECT Merchant_id,
   SUM(SUBSTRING_INDEX(`Discount_rate`,':',-1)) AS discount_amount
   FROM `ccf_online_stage1_train`
   WHERE (Date != 'null' AND Coupon_id != 'null')
   AND (LEFT(DATE,4)=2016 ) 
   AND MID(DATE,5,2) = '06'
   GROUP BY Merchant_id
   UNION ALL 
   SELECT Merchant_id,
   SUM(SUBSTRING_INDEX(`Discount_rate`,':',-1)) AS discount_amount
   FROM `ccf_offline_stage1_train`
   WHERE (Date != 'null' AND Coupon_id != 'null')
   AND (LEFT(DATE,4)=2016 )
   AND MID(DATE,5,2) = '06'
   GROUP BY Merchant_id ) BaseData
GROUP BY Merchant_id
ORDER BY SUM(discount_amount) DESC
LIMIT 3;