Oracle開發之分析函數總結_oracle

來源:互聯網
上載者:User

這一篇是對前面所有關於分析函數的文章的總結:

一、統計方面:

複製代碼 代碼如下:
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 )

具體請參考《Oracle開發之分析函數簡介Over用法》和《Oracle開發之視窗函數》

二、排列方面:

複製代碼 代碼如下:
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 ])

具體請參考《Oracle開發之分析函數(Rank, Dense_rank, row_number)》

三、最大值/最小值尋找方面:

複製代碼 代碼如下:
Min()/Max() Keep (Dense_rank First/Last [Partition by ] [Order by ])

具體請參考《Oracle開發之分析函數(Top/Bottom N、First/Last、NTile)》

四、首記錄/末記錄尋找方面:

複製代碼 代碼如下:
First_value / Last_value(Sum() Over ([Patition by ] [Order by ]
       Rows Between  Preceding And  Following  ))

具體請參考《Oracle開發之視窗函數》

五、相鄰記錄之間比較方面:

複製代碼 代碼如下:
Lag(Sum(), 1) Over([Patition by ] [Order by ])

具體請參考《Oracle開發之報表函數》

以上就是Oracle分析函數總結的全部內容,希望能給大家一個參考,也希望大家多多支援雲棲社區。

聯繫我們

該頁面正文內容均來源於網絡整理,並不代表阿里雲官方的觀點,該頁面所提到的產品和服務也與阿里云無關,如果該頁面內容對您造成了困擾,歡迎寫郵件給我們,收到郵件我們將在5個工作日內處理。

如果您發現本社區中有涉嫌抄襲的內容,歡迎發送郵件至: info-contact@alibabacloud.com 進行舉報並提供相關證據,工作人員會在 5 個工作天內聯絡您,一經查實,本站將立刻刪除涉嫌侵權內容。

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.