这篇文章主要介绍了Oracle排名函数(Rank)实例详解,需要的朋友可以参考下
--已知:两种排名方式(分区和不分区):使用和不使用partition
--两种计算方式(连续,不连续),对应函数:dense_rank,rank
·查询原始数据:学号,姓名,科目名,成绩
select * from t_score
S_ID |
S_NAME |
SUB_NAME |
SCORE |
1 |
张三 |
语文 |
80.00 |
2 |
李四 |
数学 |
80.00 |
1 |
张三 |
数学 |
0.00 |
2 |
李四 |
语文 |
50.00 |
3 |
张三丰 |
语文 |
10.00 |
3 |
张三丰 |
数学 |
|
3 |
张三丰 |
体育 |
120.00 |
4 |
杨过 |
JAVA |
90.00 |
5 |
mike |
c++ |
80.00 |
3 |
张三丰 |
Oracle |
0.00 |
4 |
杨过 |
Oracle |
77.00 |
2 |
李四 |
Oracle |
77.00 |
·查询各学生科目为Oracle排名(简单排名)
select sc.s_id,sc.s_name,sub_name,sc.score,
rank() over (order by score desc) 名次
from t_score sc
where sub_name=‘Oracle‘
S_ID |
S_NAME |
SUB_NAME |
SCORE |
名次 |
4 |
杨过 |
Oracle |
77.00 |
1 |
2 |
李四 |
Oracle |
77.00 |
1 |
3 |
张三丰 |
Oracle |
0.00 |
3 |
对比:rank()与dense_rank():非连续排名与连续排名(都是简单排名)
select sc.s_id,sc.s_name,sub_name,sc.score,
dense_rank() over (order by score desc) 名次
from t_score sc
where sub_name=‘Oracle‘
S_ID |
S_NAME |
SUB_NAME |
SCORE |
名次 |
4 |
杨过 |
Oracle |
77.00 |
1 |
2 |
李四 |
Oracle |
77.00 |
1 |
3 |
张三丰 |
Oracle |
0.00 |
2 |
·查询各学生各科排名(分区排名)
select sc.s_id,sc.s_name,sub_name,sc.score,
rank() over
(partition by sub_name order by score desc) 名次
from t_score sc
S_ID |
S_NAME |
SUB_NAME |
SCORE |
名次 |
4 |
杨过 |
JAVA |
90.00 |
1 |
4 |
杨过 |
Oracle |
77.00 |
1 |
2 |
李四 |
Oracle |
77.00 |
1 |
3 |
张三丰 |
Oracle |
0.00 |
3 |
5 |
mike |
c++ |
80.00 |
1 |
3 |
张三丰 |
数学 |
|
1 |
2 |
李四 |
数学 |
80.00 |
2 |
1 |
张三 |
数学 |
0.00 |
3 |
3 |
张三丰 |
体育 |
120.00 |
1 |
1 |
张三 |
语文 |
80.00 |
1 |
2 |
李四 |
语文 |
50.00 |
2 |
3 |
张三丰 |
语文 |
10.00 |
3 |
·查询各科前2名(分区排名)
·类似:新闻表,求栏目点击率在前3位的新闻。
商品表,求各类别销售额在前10位的商品。
select * from ( select sc.s_id,sc.s_name,sub_name,sc.score, dense_rank() over (partition by sub_name order by score desc) 名次 from t_score sc ) x where x.名次<=2
S_ID |
S_NAME |
SUB_NAME |
SCORE |
名次 |
4 |
杨过 |
JAVA |
90.00 |
1 |
4 |
杨过 |
Oracle |
77.00 |
1 |
2 |
李四 |
Oracle |
77.00 |
1 |
3 |
张三丰 |
Oracle |
0.00 |
2 |
5 |
mike |
c++ |
80.00 |
1 |
3 |
张三丰 |
数学 |
|
1 |
2 |
李四 |
数学 |
80.00 |
2 |
3 |
张三丰 |
体育 |
120.00 |
1 |
1 |
张三 |
语文 |
80.00 |
1 |
2 |
李四 |
语文 |
50.00 |
2 |
·查询各同学总分
select s_id,s_name,sum(score) sum_score from t_score
group by s_id,s_name
S_ID |
S_NAME |
SUM_SCORE |
1 |
张三 |
80.00 |
2 |
李四 |
207.00 |
3 |
张三丰 |
130.00 |
4 |
杨过 |
167.00 |
5 |
mike |
80.00 |
·根据总分查询各同学名次
select x.*,
rank() over (order by sum_score desc) 名次
from (
select s_id,s_name,sum(score) sum_score from t_score
group by s_id,s_name ) x
S_ID |
S_NAME |
SUM_SCORE |
名次 |
2 |
李四 |
207.00 |
1 |
4 |
杨过 |
167.00 |
2 |
3 |
张三丰 |
130.00 |
3 |
1 |
张三 |
80.00 |
4 |
5 |
mike |
80.00 |
4 |
语法:
rank() over (order by 排序字段 顺序)
rank() over (partition by 分组字段 order by 排序字段 顺序)
1.顺序:asc|desc 名次与业务相关:
示例:找求优秀学员:成绩:降序 迟到次数:升序
2.分区字段:根据什么字段进行分区。
问题:分区与分组有什么区别?
·分区只是将原始数据进行名次排列(记录数不变),
·分组是对原始数据进行聚合统计(记录数变少,每组返回一条),注意:聚合。
脚本:
create table t_score( autoid number primary key, s_id number(3), s_name char(8) not null, sub_name varchar2(20), score number(10,2) ); insert into t_score (autoid, s_id, s_name, sub_name, score) values (8, 1, ‘张三‘, ‘语文‘, 80); insert into t_score (autoid, s_id, s_name, sub_name, score) values (9, 2, ‘李四‘, ‘数学‘, 80); insert into t_score (autoid, s_id, s_name, sub_name, score) values (10, 1, ‘张三‘, ‘数学‘, 0); insert into t_score (autoid, s_id, s_name, sub_name, score) values (11, 2, ‘李四‘, ‘语文‘, 50); insert into t_score (autoid, s_id, s_name, sub_name, score) values (12, 3, ‘张三丰‘, ‘语文‘, 10); insert into t_score (autoid, s_id, s_name, sub_name, score) values (13, 3, ‘张三丰‘, ‘数学‘, null); insert into t_score (autoid, s_id, s_name, sub_name, score) values (14, 3, ‘张三丰‘, ‘体育‘, 120); insert into t_score (autoid, s_id, s_name, sub_name, score) values (15, 4, ‘杨过‘, ‘java‘, 90); insert into t_score (autoid, s_id, s_name, sub_name, score) values (16, 5, ‘mike‘, ‘c++‘, 80); insert into t_score (autoid, s_id, s_name, sub_name, score) values (3, 3, ‘张三丰‘, ‘oracle‘, 0); insert into t_score (autoid, s_id, s_name, sub_name, score) values (4, 4, ‘杨过‘, ‘oracle‘, 77); insert into t_score (autoid, s_id, s_name, sub_name, score) values (17, 2, ‘李四‘, ‘oracle‘, 77); commit;
ending...
转载:https://www.jb51.net/article/51627.htm
原文地址:https://www.cnblogs.com/hxun/p/11751330.html