diff --git "a/\345\215\242\345\233\275\345\273\272/9.19/SQLQuery1.sql" "b/\345\215\242\345\233\275\345\273\272/9.19/SQLQuery1.sql"
new file mode 100644
index 0000000000000000000000000000000000000000..8280b6dfc7a27f150d872350679f274fe2e8189b
--- /dev/null
+++ "b/\345\215\242\345\233\275\345\273\272/9.19/SQLQuery1.sql"
@@ -0,0 +1,65 @@
+--1. 查询出武汉地区所有的员工信息，要求显示部门名称以及员工的详细资料
+select pe.*,de.DepartmentName 部门名称 from Department de 
+inner join 
+(select * from People
+where PeopleAddress='武汉') pe on pe.DepartmentId=de.DepartmentId 
+
+
+
+
+--2. 查询出武汉地区所有的员工信息，要求显示部门名称，职级名称以及员工的详细资料
+select a.*,R.RankName 职级名称 from [Rank] R
+inner join 
+	(
+		select pe.*,de.DepartmentName 部门名称 from Department de 
+		inner join 
+		(
+			select * from People
+			where PeopleAddress='武汉'
+		) 
+		pe on pe.DepartmentId=de.DepartmentId 
+	) a on a.RankId=R.RankId
+
+
+--3. 根据部门分组统计员工人数，员工工资总和，平均工资，最高工资和最低工资。
+select * from People 
+
+
+select count(DepartmentId) 人数,sum(PeopleSalary) 部门工资总和,avg(PeopleSalary) 平均工资 ,max(PeopleSalary) 最高工资,min(PeopleSalary) 最低工资  from people 
+group by DepartmentId
+
+
+
+
+--4. 根据部门分组统计员工人数，员工工资总和，平均工资，最高工资和最低工资，平均工资在10000 以下的不参与统计，并且根据平均工资降序排列。
+select count(DepartmentId) 人数,sum(PeopleSalary) 部门工资总和,avg(PeopleSalary) 平均工资 ,max(PeopleSalary) 最高工资,min(PeopleSalary) 最低工资  from people 
+where peopleSalary>=10000
+group by DepartmentId
+
+
+
+
+--5. 根据部门名称，然后根据职位名称，分组统计员工人数，员工工资总和，平均工资，最高工资和最低工资
+
+
+
+select  D.DepartmentName, count(DepartmentName) 部门人数,sum(p.PeopleSalary) 工资总和,avg(p.PeopleSalary) 平均工资,max(p.PeopleSalary) 最高工资,min(p.PeopleSalary) 最低工资 from people p 
+inner join [Rank] R on R.RankId=p.RankId
+inner join Department D on D.DepartmentId=D.DepartmentId
+group by D.DepartmentName
+
+
+
+--6.查询出巨蟹 6.22--7.22 的员工信息
+
+select * from people
+where month(PeopleBirth)=6 and day(PeopleBirth)>=22 or month(PeopleBirth)=7 and day(PeopleBirth)<=22 
+
+
+--7.查询所有员工信息，添加一列显示属相(鼠4,牛5,虎6,兔7,龙8,蛇9,马10,羊11,猴0,鸡1,狗2,猪3)
+--今年为虎年，2022%12=6,所以求于的数字分别对应
+
+select a.*,replace(b.s,0,'候')  from people a
+		inner join 
+		(select PeopleId,(year(PeopleBirth)%12) s from people) b on b.PeopleId=a.PeopleId
+	
\ No newline at end of file
diff --git "a/\345\215\242\345\233\275\345\273\272/9.19/\347\254\224\350\256\260.txt" "b/\345\215\242\345\233\275\345\273\272/9.19/\347\254\224\350\256\260.txt"
new file mode 100644
index 0000000000000000000000000000000000000000..757784f225f2b0b02665d3428219875e915e407d
--- /dev/null
+++ "b/\345\215\242\345\233\275\345\273\272/9.19/\347\254\224\350\256\260.txt"
@@ -0,0 +1,27 @@
+--鍒涘缓鑱岀骇琛紝rank涓虹郴缁熷叧閿瓧锛屾澶勪娇鐢╗]浠ｈ〃鑷畾涔夊悕瀛楋紝鑰岄潪绯荤粺鍏抽敭瀛�
+create table [Rank]
+(
+	RankId int primary key identity(1,1),
+	RankName nvarchar(50) not null,
+	RankRemark text
+);
+go
+
+--鍒涘缓鍛樺伐淇℃伅琛�
+create table People
+(
+	PeopleId int primary key identity(1,1),
+	--references浠ｈ〃澶栭敭寮曠敤,姝ゅ瓧娈靛繀椤荤鍚堜笌鍏跺畠琛ㄧ殑澶栭敭绾︽潫
+	DepartmentId int references Department(DepartmentId)  not null,
+	RankId int references [Rank](RankId) not null,
+	PeopleName nvarchar(50) not null,
+	--default浠ｈ〃瀛楁榛樿鍊�; check鍙互瑙勫畾瀛楁鍊肩殑绾︽潫鏉′欢;
+	PeopleSex nvarchar(1) default('鐢�') check(PeopleSex='鐢�' or PeopleSex='濂�') not null,
+	PeopleBirth datetime not null,
+	PeopleSalary decimal(12,2) check(PeopleSalary>= 1000 and PeopleSalary <= 100000) not null,
+	--unique浠ｈ〃鍞竴绾︽潫锛屼负鏁版嵁鎻愪緵鍞竴鎬т繚璇�;
+	PeoplePhone nvarchar(20) unique not null,
+	PeopleAddress nvarchar(100),
+	--datetime鍜宻malldatetime閮藉彲浠ヨ〃绀烘椂闂寸被鍨嬶紝getdate()鐢ㄤ簬鑾峰彇绯荤粺褰撳墠鏃堕棿
+	PeopleAddTime smalldatetime default(getdate())
+);
\ No newline at end of file
diff --git "a/\344\275\234\344\270\232/\344\275\234\344\270\232.sql" "b/\345\215\242\345\233\275\345\273\272/\344\275\234\344\270\232.sql"
similarity index 100%
rename from "\344\275\234\344\270\232/\344\275\234\344\270\232.sql"
rename to "\345\215\242\345\233\275\345\273\272/\344\275\234\344\270\232.sql"
diff --git "a/\344\275\234\344\270\232/\347\254\224\350\256\260.txt" "b/\345\215\242\345\233\275\345\273\272/\347\254\224\350\256\260.txt"
similarity index 100%
rename from "\344\275\234\344\270\232/\347\254\224\350\256\260.txt"
rename to "\345\215\242\345\233\275\345\273\272/\347\254\224\350\256\260.txt"