hive学习04-员工部门表综合案例

知识点：

格式转换：cast（xxx as int）

按某列分桶某列排序，排序后打标机；例如：求每个地区工资最高的那个人的信息；

ROW_NUMBER() OVER(PARTITION BY COLUMN ORDER BY COLUMN)

row_number() over(distribute by t1.loc sort by cast(t1.sal as int) desc) as index

dept表

hive> select * from dept;
# deptno(部门编号)     dname(部门名称)          loc(部门所在地区)
                   ACCOUNTING               NEW YORK
                   RESEARCH                 DALLAS
                   SALES                    CHICAGO
                   OPERATIONS               BOSTON

ump表

hive> select * from ump;

# 员工编号   员工姓名    职务        领导编号     入职日期     工资    奖金    部门编号
# empno     ename       job         mgr         hiredate    sal    comm    deptno
        SMITH       CLERK               --  800.0   0.0
        ALLEN       SALESMAN            --  1600.0  300.0
        WARD        SALESMAN            --  1250.0  500.0
        JONES       MANAGER             --  2975.0  0.0
        MARTIN      SALESMAN            --  1250.0  1400.0
        BLAKE       MANAGER             --  2850.0  0.0
        CLARK       MANAGER             --  2450.0  0.0
        SCOTT       ANALYST             --  3000.0  0.0
        KING        PRESIDENT   NULL        --  5000.0  0.0
        TURNER      SALESMAN            --  1500.0  0.0
        ADAMS       CLERK               --  1100.0  0.0
        JAMES       CLERK               --  950.0   0.0
        FORD        ANALYST             --  3000.0  0.0
        MILLER      CLERK               --  1300.0  0.0    10

(1) 查询总员工数

select count(empno) from ump;

#Total MapReduce CPU Time Spent:  seconds  msec
#OK
#

(2) 查询总共有多少种职位

select count(distinct job) from  ump;
#Total MapReduce CPU Time Spent:  seconds  msec
#OK
#

(3) 统计每个职位有多少个员工，并且按照数量从大到小排序

select job ,count (*)as emp_cnt
from ump
group by job
order by emp_cnt desc;

SALESMAN
CLERK
MANAGER
ANALYST
PRESIDENT    

(4) 查询入职最早的员工

select ump.ename,ump.hiredate
from ump
join
(select  min(hiredate) as hiredate from ump)t1
where ump.hiredate=t1.hiredate;

#SMITH    --

(5) 统计出每个岗位的最高工资和平均工资

select job ,max(sal)as max_sale,avg(sal)as min_sale
from ump
group by job;

ANALYST 3000.0 3000.0
CLERK 950.0 1037.5
MANAGER 2975.0 2758.3333333333335
PRESIDENT 5000.0 5000.0
SALESMAN 1600.0 1400.0

(6) 查询出每个地区工资最高的员工

select t2.loc,t2.ename,t2.sal
from
(select t1.loc,t1.ename,t1.sal,
row_number() over(distribute by t1.loc sort by cast(t1.sal as int) desc) as index
from
(select  dept.loc,ump.ename,ump.sal from
dept join ump
on dept.deptno=ump.deptno)t1
)t2
where t2.index=;

#CHICAGO    BLAKE    2850.0
#DALLAS    FORD    3000.0
#NEW    KING    5000.0

(7) 查询上半年入职员工最多的地区

select t1.loc,count(*)as cnt
from
(select dept.loc,ump.ename,
cast(substr(ump.hiredate,,) as int) as hire_month
from dept join ump
on dept.deptno=ump.deptno)t1
where t1.hire_month<=
group by t1.loc
order by cnt desc
limit ;

CHICAGO