ORACLE 分析函数FIRST_VALUE,LAST_VALUE用法
sum over
avg over
first_value over
last_value over
...聚合函数结合over就是分析函数
备注LAST_VALUE一般这样操作:
【ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING / ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW】
3、列出每月的订单总额以及截至到当前月的订单总额
SQL> select month,
2 sum(tot_sales) month_sales,
3 sum(sum(tot_sales)) over(order by month
4 rows between unbounded preceding and current row) current_total_sales
5 from orders
6 group by month;
MONTH MONTH_SALES CURRENT_TOTAL_SALES
---------- ----------- -------------------
1 610697 610697
2 428676 1039373
3 637031 1676404
4 541146 2217550
5 592935 2810485
6 501485 3311970
7 606914 3918884
8 460520 4379404
9 392898 4772302
10 510117 5282419
11 532889 5815308
12 492458 6307766
SQL> select month,
2 sum(tot_sales) month_sales,
3 sum(sum(tot_sales)) over(order by month
4 rows between unbounded preceding and current row) current_total_sales,
5 sum(sum(tot_sales)) over(order by month
6 rows between unbounded preceding and unbounded following) total_sales
7 from orders
8 group by month;
MONTH MONTH_SALES CURRENT_TOTAL_SALES TOTAL_SALES
---------- ----------- ------------------- -----------
1 610697 610697 6307766
2 428676 1039373 6307766
3 637031 1676404 6307766
4 541146 2217550 6307766
5 592935 2810485 6307766
6 501485 3311970 6307766
7 606914 3918884 6307766
8 460520 4379404 6307766
9 392898 4772302 6307766
10 510117 5282419 6307766
11 532889 5815308 6307766
12 492458 6307766 6307766
4、统计当天销售额和五天内的评价销售额
select trunc(order_dt) day,
sum(sale_price) daily_sales,
avg(sum(sale_price)) over (order by trunc(order_dt)
range between interval '2' day preceding
and interval '2' day following) five_day_avg
from cust_order
where sale_price is not null
and order_dt between to_date('01-jul-2001','dd-mon-yyyy')
and to_date('31-jul-2001','dd-mon-yyyy')
为了对指定范围进行统计,Oracle使用关键字range、interval来指定一个范围。上面的例子告诉Oracle查找当前日期的前2天,后2天范围内的记录,并统计其销售平均值
5、Oracle提供了2个额外的函数:first_value、last_value,用于在窗口记录集中查找第一条记录和最后一条记录。假设我们的报表需要显示当前月、上一个月、后一个月的销售情况,以及每3个月的销售平均值,这两个函数就可以派上用场了
select month,
first_value(sum(tot_sales)) over (order by month
rows between 1 preceding and 1 following) prev_month,
sum(tot_sales) monthly_sales,
last_value(sum(tot_sales)) over (order by month
rows between 1 preceding and 1 following) next_month,
avg(sum(tot_sales)) over (order by month
rows between 1 preceding and 1 following) rolling_avg
from orders
where year = 2001
and region_id = 6
group by month
order by month;
首先我们来看:rows between 1 preceding and 1 following告诉Oracle在当前记录的前一条、后一条范围内查找并统计,而first_value和last_value在这3条记录中至分别找出第一条、第三条记录,这样我们就轻松地得到相邻三个月的销售记录及平均值了!
6、我们知道了如何利用窗口函数来显示相邻的记录,现在假如我们想每次显示当月的销售额和上个月的销售额,应该怎么做呢?
从第五点的介绍我们可以知道,利用first_value(sum(tot_sales) over (order by month rows between 1 preceding and 0 following))就可以做到了,其实Oracle还有一个更简单的方式让我们来比较2条记录,它就是lag函数。
leg函数类似于preceding和following
子句,它能够通过和当前记录的相对位置而被应用,在比较同一个相邻的记录集内两条相邻记录的时候特别有用。
select month,
sum(tot_sales) monthly_sales,
lag(sum(tot_sales), 1) over (order by month) prev_month_sales
from orders
where year = 2001
and region_id = 6
group by month
order by month;
*************************************************
1、over函数的写法:
over(partition by class order by sroce) 按照sroce排序进行累计,order by是个默认的开窗函数,按照class分区。
2、开窗的窗口范围:
over(order by sroce range between 5 preceding and 5 following):窗口范围为当前行数据幅度减5加5后的范围内的。
over(order by sroce rows between 5 preceding and 5 following):窗口范围为当前行前后各移动5行。
3、与over()函数结合的函数的介绍
(1)、查询每个班的第一名的成绩:如下
1 SELECT * FROM (select t.name,t.class,t.sroce,rank() over(partition by t.class order by t.sroce desc) mm from T2_TEMP t) where mm = 1;
*************************************************
分析函数应用场景:https://blog.csdn.net/WuLex/article/details/82796991
sum over
avg over
first_value over
last_value over
...聚合函数结合over就是分析函数
备注LAST_VALUE一般这样操作:
【ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING / ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW】
3、列出每月的订单总额以及截至到当前月的订单总额
SQL> select month,
2 sum(tot_sales) month_sales,
3 sum(sum(tot_sales)) over(order by month
4 rows between unbounded preceding and current row) current_total_sales
5 from orders
6 group by month;
MONTH MONTH_SALES CURRENT_TOTAL_SALES
---------- ----------- -------------------
1 610697 610697
2 428676 1039373
3 637031 1676404
4 541146 2217550
5 592935 2810485
6 501485 3311970
7 606914 3918884
8 460520 4379404
9 392898 4772302
10 510117 5282419
11 532889 5815308
12 492458 6307766
SQL> select month,
2 sum(tot_sales) month_sales,
3 sum(sum(tot_sales)) over(order by month
4 rows between unbounded preceding and current row) current_total_sales,
5 sum(sum(tot_sales)) over(order by month
6 rows between unbounded preceding and unbounded following) total_sales
7 from orders
8 group by month;
MONTH MONTH_SALES CURRENT_TOTAL_SALES TOTAL_SALES
---------- ----------- ------------------- -----------
1 610697 610697 6307766
2 428676 1039373 6307766
3 637031 1676404 6307766
4 541146 2217550 6307766
5 592935 2810485 6307766
6 501485 3311970 6307766
7 606914 3918884 6307766
8 460520 4379404 6307766
9 392898 4772302 6307766
10 510117 5282419 6307766
11 532889 5815308 6307766
12 492458 6307766 6307766
4、统计当天销售额和五天内的评价销售额
select trunc(order_dt) day,
sum(sale_price) daily_sales,
avg(sum(sale_price)) over (order by trunc(order_dt)
range between interval '2' day preceding
and interval '2' day following) five_day_avg
from cust_order
where sale_price is not null
and order_dt between to_date('01-jul-2001','dd-mon-yyyy')
and to_date('31-jul-2001','dd-mon-yyyy')
为了对指定范围进行统计,Oracle使用关键字range、interval来指定一个范围。上面的例子告诉Oracle查找当前日期的前2天,后2天范围内的记录,并统计其销售平均值
5、Oracle提供了2个额外的函数:first_value、last_value,用于在窗口记录集中查找第一条记录和最后一条记录。假设我们的报表需要显示当前月、上一个月、后一个月的销售情况,以及每3个月的销售平均值,这两个函数就可以派上用场了
select month,
first_value(sum(tot_sales)) over (order by month
rows between 1 preceding and 1 following) prev_month,
sum(tot_sales) monthly_sales,
last_value(sum(tot_sales)) over (order by month
rows between 1 preceding and 1 following) next_month,
avg(sum(tot_sales)) over (order by month
rows between 1 preceding and 1 following) rolling_avg
from orders
where year = 2001
and region_id = 6
group by month
order by month;
首先我们来看:rows between 1 preceding and 1 following告诉Oracle在当前记录的前一条、后一条范围内查找并统计,而first_value和last_value在这3条记录中至分别找出第一条、第三条记录,这样我们就轻松地得到相邻三个月的销售记录及平均值了!
6、我们知道了如何利用窗口函数来显示相邻的记录,现在假如我们想每次显示当月的销售额和上个月的销售额,应该怎么做呢?
从第五点的介绍我们可以知道,利用first_value(sum(tot_sales) over (order by month rows between 1 preceding and 0 following))就可以做到了,其实Oracle还有一个更简单的方式让我们来比较2条记录,它就是lag函数。
leg函数类似于preceding和following
子句,它能够通过和当前记录的相对位置而被应用,在比较同一个相邻的记录集内两条相邻记录的时候特别有用。
select month,
sum(tot_sales) monthly_sales,
lag(sum(tot_sales), 1) over (order by month) prev_month_sales
from orders
where year = 2001
and region_id = 6
group by month
order by month;
*************************************************
1、over函数的写法:
over(partition by class order by sroce) 按照sroce排序进行累计,order by是个默认的开窗函数,按照class分区。
2、开窗的窗口范围:
over(order by sroce range between 5 preceding and 5 following):窗口范围为当前行数据幅度减5加5后的范围内的。
over(order by sroce rows between 5 preceding and 5 following):窗口范围为当前行前后各移动5行。
3、与over()函数结合的函数的介绍
(1)、查询每个班的第一名的成绩:如下
1 SELECT * FROM (select t.name,t.class,t.sroce,rank() over(partition by t.class order by t.sroce desc) mm from T2_TEMP t) where mm = 1;
*************************************************
分析函数应用场景:https://blog.csdn.net/WuLex/article/details/82796991