Hive和Kylin性能对比_大数据培训

Hive和Kylin性能对比

需求：根据部门名称[dname]统计员工薪资总数[sum（sal）]

1 Hive查询

hive> select dname,sum(sal) from emp e join dept d on e.deptno = d.deptno group by dname;

Query ID = atguigu_20181210104140_4931b735-5bad-4a4f-bce6-67985b8fe30a

Total jobs = 1

SLF4J: Class path contains multiple SLF4J bindings.

… …

… …

Stage-Stage-2: Map: 1  Reduce: 1   Cumulative CPU: 3.95 sec   HDFS Read: 13195 HDFS Write: 48 SUCCESS

Total MapReduce CPU Time Spent: 3 seconds 950 msec

OK

ACCOUNTING      3750.0

RESEARCH        10875.0

SALES   9400.0

Time taken: 23.893 seconds, Fetched: 3 row(s)

hive>

2 Kylin查询

1）进入Insight页面

2）在New Query中输入查询语句并Submit

3）数据图表展示及导出