Oracle开发课题之：分析函数总结（转载）
Oracle开发专题之：分析函数总结（转载）
Sum(
) Over ([Partition by ] [Order by ])
Sum() Over ([Partition by ] [Order by ]
Rows Between Preceding And Following)
Sum() Over ([Partition by ] [Order by ]
Rows Between Preceding And Current Row)
Sum() Over ([Partition by ] [Order by ]
Range Between Interval '' 'Day' Preceding
And Interval '' 'Day' Following )
Rank() Over ([Partition by ] [Order by ] [Nulls First/Last])
Dense_rank() Over ([Patition by] [Order by ] [Nulls First/Last])
Row_number() Over ([Partitionby ] [Order by ] [Nulls First/Last])
Ntile() Over ([Partition by ] [Order by ])
Min()/Max() Keep (Dense_rank First/Last [Partition by ] [Order by ])
First_value / Last_value(Sum() Over ([Patition by ] [Order by ]
Rows Between Preceding And Following ))
Lag(Sum(), 1) Over([Patition by ] [Order by ])
这一篇是对前面所有关于分析函数的文章的总结：
一、统计方面：
具体请参考《Oracle开发专题之：分析函数(OVER)》和《Oracle开发专题之：窗口函数》
二、排列方面：
Dense_rank() Over ([Patition by
具体请参考《Oracle开发专题之：分析函数2(Rank, Dense_rank, row_number) 》
三、最大值/最小值查找方面：
具体请参考《Oracle应用专题之：分析函数3(Top/Bottom N、First/Last、NTile) 》
四、首记录/末记录查找方面：
具体请参考《Oracle开发专题之：窗口函数》
五、相邻记录之间比较方面：
具体请参考《Oracle开发专题之：窗口函数》
转载自：http://www.blogjava.net/pengpenglin/archive/2008/06/29/211491.html