Oracle分析函数ROW_NUMBER()
Oracle分析函数RANK()|ROW_NUMBER()|LAG()使用详解 ROW_NUMBER()函数: row_number()和rownum差不多,功能更强一点(可以在各个分组内从1开时排序),效率更高(?效率貌更差些,实际测验时)。 ROW_NUMBER()的使用方法: ROW_NUMBER() OVER (PARTITION BY C
Oracle分析函数RANK()|ROW_NUMBER()|LAG()使用详解
ROW_NUMBER()函数:
row_number()和rownum差不多,功能更强一点(可以在各个分组内从1开时排序),效率更高(?效率貌似更差些,实际测验时)。
ROW_NUMBER()的使用方法:
ROW_NUMBER() OVER (PARTITION BY COL1 ORDER BY COL2)
详细说明:
根据COL1分组
在分组内部根据 COL2排序
而这个值就表示每组内部排序后的顺序编号(组内连续的唯一的)
- ROW_NUMBER()语法如下:
- 1、row_number() over(order by column desc)先对列column按照降序,再为每条记录返回一个序列号:
- SELECT D.*, ROW_NUMBER() OVER(ORDER BY D.R_OPATE_NUM DESC) AS INX FROM REPORT_DATA D
ROW_NUMBER()语法如下: 1、row_number() over(order by column desc)先对列column按照降序,再为每条记录返回一个序列号: SELECT D.*, ROW_NUMBER() OVER(ORDER BY D.R_OPATE_NUM DESC) AS INX FROM REPORT_DATA D
[sql] view plaincopyprint?
- 2、row_number() over(partition by column1 order by column2 asc) 先按照column1分组,再对分组后的数据进行以column2升序排列
- select personalid,ct_smp_type,row_number() over(partition by personalid order by ct_smp_type asc) rn from neogoodsrule
- 语法1的具体实例:获取前100名人员的排名信息,如下
2、row_number() over(partition by column1 order by column2 asc) 先按照column1分组,再对分组后的数据进行以column2升序排列 select personalid,ct_smp_type,row_number() over(partition by personalid order by ct_smp_type asc) rn from neogoodsrule 语法1的具体实例:获取前100名人员的排名信息,如下
[sql] view plaincopyprint?
<span>name</span><span>=</span><span>"code"</span><span>></span><span>WITH</span><span> REPORT_DATA </span><span>AS</span><span> </span>
Copy after login- (SELECT DW.DWID,DW.DWMC,JY.JYXM,JY.JH,RMPC.R_OPATE_NUM
- FROM REPORT_MONTH_PERSON_COUNT RMPC,JWT_JYXX JY,T_DWXX DW
- WHERE RMPC.JYID = JY.JYUSERID
- AND JY.SSDW = DW.DWID
- AND RMPC.R_YEAR = 2013
- AND RMPC.R_MONTH = 6
- AND JY.SSDW LIKE '4102%'
- ORDER BY RMPC.R_OPATE_NUM DESC)
- SELECT B.*
- FROM (SELECT D.*, ROW_NUMBER() OVER(ORDER BY D.R_OPATE_NUM DESC) AS INX
- FROM REPORT_DATA D
- ) B
- WHERE B.INX
-
ORDER BY B.INX
- Copy after loginCopy after loginCopy after login
<div class="dp-highlighter bg_sql"> <div class="bar"><div class="tools"> <strong>[sql]</strong> <a target="_blank" class="ViewSource" title="view plain" href="http://blog.csdn.net/liqingan880102/article/details/9924257#">view plain</a><a target="_blank" class="CopyToClipboard" title="copy" href="http://blog.csdn.net/liqingan880102/article/details/9924257#">copy</a><a target="_blank" class="PrintSource" title="print" href="http://blog.csdn.net/liqingan880102/article/details/9924257#">print</a><a target="_blank" class="About" title="?" href="http://blog.csdn.net/liqingan880102/article/details/9924257#">?</a> </div></div> <ol class="dp-sql"> <li class="alt"><span><span class="keyword">WITH</span><span> REPORT_DATA </span><span class="keyword">AS</span><span> </span></span></li> <li> <span> (</span><span class="keyword">SELECT</span><span> DW.DWID,DW.DWMC,JY.JYXM,JY.JH,RMPC.R_OPATE_NUM </span> </li> <li class="alt"> <span> </span><span class="keyword">FROM</span><span> REPORT_MONTH_PERSON_COUNT RMPC,JWT_JYXX JY,T_DWXX DW </span> </li> <li> <span> </span><span class="keyword">WHERE</span><span> RMPC.JYID = JY.JYUSERID </span> </li> <li class="alt"> <span> </span><span class="op">AND</span><span> JY.SSDW = DW.DWID </span> </li> <li> <span> </span><span class="op">AND</span><span> RMPC.R_YEAR = 2013 </span> </li> <li class="alt"> <span> </span><span class="op">AND</span><span> RMPC.R_MONTH = 6 </span> </li> <li> <span> </span><span class="op">AND</span><span> JY.SSDW </span><span class="op">LIKE</span><span> </span><span class="string">'4102%'</span><span> </span> </li> <li class="alt"> <span> </span><span class="keyword">ORDER</span><span> </span><span class="keyword">BY</span><span> RMPC.R_OPATE_NUM </span><span class="keyword">DESC</span><span>) </span> </li> <li> <span></span><span class="keyword">SELECT</span><span> B.* </span> </li> <li class="alt"> <span></span><span class="keyword">FROM</span><span> (</span><span class="keyword">SELECT</span><span> D.*, ROW_NUMBER() OVER(</span><span class="keyword">ORDER</span><span> </span><span class="keyword">BY</span><span> D.R_OPATE_NUM </span><span class="keyword">DESC</span><span>) </span><span class="keyword">AS</span><span> INX </span> </li> <li> <span> </span><span class="keyword">FROM</span><span> REPORT_DATA D </span> </li> <li class="alt"><span> ) B </span></li> <li> <span></span><span class="keyword">WHERE</span><span> B.INX </span> </li> <li class="alt"> <span></span><span class="keyword">ORDER</span><span> </span><span class="keyword">BY</span><span> B.INX </span> </li> </ol> </div><pre class='brush:php;toolbar:false;'>WITH REPORT_DATA AS (SELECT DW.DWID,DW.DWMC,JY.JYXM,JY.JH,RMPC.R_OPATE_NUM FROM REPORT_MONTH_PERSON_COUNT RMPC,JWT_JYXX JY,T_DWXX DW WHERE RMPC.JYID = JY.JYUSERID AND JY.SSDW = DW.DWID AND RMPC.R_YEAR = 2013 AND RMPC.R_MONTH = 6 AND JY.SSDW LIKE '4102%' ORDER BY RMPC.R_OPATE_NUM DESC) SELECT B.* FROM (SELECT D.*, ROW_NUMBER() OVER(ORDER BY D.R_OPATE_NUM DESC) AS INX FROM REPORT_DATA D ) B WHERE B.INX <=100 ORDER BY B.INX
以下为通过row_number() over(...)删除重复数据的例子,仅供参考:
delete from acc_fundnav
where rowid in (select row1
from (select rowid row1,
row_number() over(partition by HOST_ID order by rowid) lev
from acc_fundnav)
where lev > 1)
RANK():排序的时候跟派名次一样,可以并列2个第一名之后 是第3名
LAG:分组排序后 ,组内后面一条记录减前面一条记录的差,第一条可返回 NULL
BTW: EXPERT ONE ON ONE 上讲的最详细,还有很多相关特性,文档看起来比较费劲
rank()是跳跃排序,有两个第二名时接下来就是第四名(同样是在各个分组内)
dense_rank()l是连续排序,有两个第二名时仍然跟着第三名。
相比之下row_number是没有重复值的
lag(arg1,arg2,arg3):
arg1是从其他行返回的表达式
arg2是希望检索的当前行分区的偏移量。是一个正的偏移量,时一个往回检索以前的行的数目。
arg3是在arg2表示的数目超出了分组的范围时返回的值。
另见:《oracle分析函数技术详解(如 over())》
oracle分析函数技术详解(配上开窗函数over())
Oracle的LAG和LEAD分析函数

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Solutions to Oracle cannot be opened include: 1. Start the database service; 2. Start the listener; 3. Check port conflicts; 4. Set environment variables correctly; 5. Make sure the firewall or antivirus software does not block the connection; 6. Check whether the server is closed; 7. Use RMAN to recover corrupt files; 8. Check whether the TNS service name is correct; 9. Check network connection; 10. Reinstall Oracle software.

The method to solve the Oracle cursor closure problem includes: explicitly closing the cursor using the CLOSE statement. Declare the cursor in the FOR UPDATE clause so that it automatically closes after the scope is ended. Declare the cursor in the USING clause so that it automatically closes when the associated PL/SQL variable is closed. Use exception handling to ensure that the cursor is closed in any exception situation. Use the connection pool to automatically close the cursor. Disable automatic submission and delay cursor closing.

In Oracle, the FOR LOOP loop can create cursors dynamically. The steps are: 1. Define the cursor type; 2. Create the loop; 3. Create the cursor dynamically; 4. Execute the cursor; 5. Close the cursor. Example: A cursor can be created cycle-by-circuit to display the names and salaries of the top 10 employees.

To stop an Oracle database, perform the following steps: 1. Connect to the database; 2. Shutdown immediately; 3. Shutdown abort completely.

Building a Hadoop Distributed File System (HDFS) on a CentOS system requires multiple steps. This article provides a brief configuration guide. 1. Prepare to install JDK in the early stage: Install JavaDevelopmentKit (JDK) on all nodes, and the version must be compatible with Hadoop. The installation package can be downloaded from the Oracle official website. Environment variable configuration: Edit /etc/profile file, set Java and Hadoop environment variables, so that the system can find the installation path of JDK and Hadoop. 2. Security configuration: SSH password-free login to generate SSH key: Use the ssh-keygen command on each node

Oracle is not only a database company, but also a leader in cloud computing and ERP systems. 1. Oracle provides comprehensive solutions from database to cloud services and ERP systems. 2. OracleCloud challenges AWS and Azure, providing IaaS, PaaS and SaaS services. 3. Oracle's ERP systems such as E-BusinessSuite and FusionApplications help enterprises optimize operations.

When Oracle log files are full, the following solutions can be adopted: 1) Clean old log files; 2) Increase the log file size; 3) Increase the log file group; 4) Set up automatic log management; 5) Reinitialize the database. Before implementing any solution, it is recommended to back up the database to prevent data loss.

SQL statements can be created and executed based on runtime input by using Oracle's dynamic SQL. The steps include: preparing an empty string variable to store dynamically generated SQL statements. Use the EXECUTE IMMEDIATE or PREPARE statement to compile and execute dynamic SQL statements. Use bind variable to pass user input or other dynamic values to dynamic SQL. Use EXECUTE IMMEDIATE or EXECUTE to execute dynamic SQL statements.
