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?
- <PRE class=sql name=“code”>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
<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())》