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Oracle分析函数ROW_NUMBER()

mysql 搞代码 4年前 (2022-01-09) 56次浏览 已收录 0个评论

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)

  1. ROW_NUMBER()语法如下:
  2. 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:
  3. 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?

  1. 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
  2. select personalid,ct_smp_type,row_number() over(partition by personalid order by ct_smp_type asc) rn from neogoodsrule
  3. 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?

  1. <PRE class=sql name=“code”>WITH REPORT_DATA AS
  2. (SELECT DW.DWID,DW.DWMC,JY.JYXM,JY.JH,RMPC.R_OPATE_NUM
  3. FROM REPORT_MONTH_PERSON_COUNT RMPC,JWT_JYXX JY,T_DWXX DW
  4. WHERE RMPC.JYID = JY.JYUSERID
  5. AND JY.SSDW = DW.DWID
  6. AND RMPC.R_YEAR = 2013
  7. AND RMPC.R_MONTH = 6
  8. AND JY.SSDW LIKE ‘4102%’
  9. ORDER BY RMPC.R_OPATE_NUM DESC)
  10. SELECT B.*
  11. FROM (SELECT D.*, ROW_NUMBER() OVER(ORDER BY D.R_OPATE_NUM DESC) AS INX
  12. FROM REPORT_DATA D
  13. ) B
  14. WHERE B.INX <=100
  15. ORDER BY B.INX
  16.   

<div class="dp-highlighter bg_sql"><div class="bar"><div class="tools"><strong>[sql]</strong> view plaincopyprint?</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 <=100  </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="prettyprint linenums">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       ) BWHERE B.INX <=100ORDER 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 上讲的最详细本文来源[email protected]搞@^&代*@码网(,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


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