oracle复杂查询是sql
一、over()分析函数
分组查前几条:select * from test t where (select count(*) from test a where t.type=a.type and t.scope>a.scope)<2;
–rank()/dense_rank() over(partition by …order by …)
select * from(select t.*,rank() over(partition by t.type order by t.scope ) a from TEST t) a where a.a<3
–dense_rank()分级 连续排序
select t.*,dense_rank() over(partition by t.type order by t.scope)a from test t
–rank()分级 跳跃排序
select t.*,rank() over(partition by t.type order by t.scope)a from test t
select * from Test t where 2>(select count(*) from Test a where t.type=a.type and t.scope>a.scope)
select t.* from Test t,(select a.type,max(a.scope) scope from TEST a group by a.type) d where t.type=d.type and t.scope=d.scope
–笛卡尔乘积
select * from Test t,Test a
select t.* from Test t,(select a.type,max(a.scope) maxscope,min(a.scope) minscope from TEST a group by a.type) d where t.type=d.type and t.scope=d.scope
–
select t.*,d.maxscope-t.scope maxscope,t.scope-d.minscope minscope
from Test t,
(select a.type, max(a.scope) maxscope, min(a.scope) minscope
from TEST a
group by a.type) d
where t.type = d.type
–min()/max() over(partition by …)
select t.*,
nvl(max(t.scope) over(partition by t.type), 0) – t.scope maxscope,
t.scope – nvl(min(t.scope) over(partition by t.type), 0) minscope
from test t
–lead()/lag() over(partition by … order by …)
select t.*,lead(t.scope,1,0)over(partition by t.type order by t.scope) a–同组后一个
from test t
select t.*,lag(t.scope,1,0)over(partition by t.type order by t.scope) a–同组前一个
from test t
select t.*,
first_value(t.scope) over(partition by t.type) first_sal,
last_value(t.scope) over(partition by t.type) last_sal,
sum(t.scope) over(partition by t.type) sum_sal,
avg(t.scope) over(partition by t.type) avg_sal,
count(t.scope) over(partition by t.type) count_num,
row_number() over(partition by t.type order by t.scope) row_num
from test t
–注:带order by子句的方法说明在使用该方法的时候必须要带order by
原文链接:https://www.cnblogs.com/bigmonkeys/p/7896323.html
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