<pre name="code" class="sql">SQL> select substr(xx.acct_no,1,5) agent_org, xx.vou_kind,sum( xx.trans_amt) trans_amt
from (
select * from dwf.F_EVT_SAVD_LIST
where trans_date >= to_date('2013-10-10', 'YYYY-MM-DD')
AND trans_date <= to_date('2014-03-31', 'YYYY-MM-DD')
) xx
where ( xx.vou_kind in ('3', '4')
or
( xx.vou_kind ='188' and xx.trans_code in ('100201','105301') )
)
and xx.dc_flag = '1'
group by substr(xx.acct_no,1,5), xx.vou_kind,xx.vou_no,xx.trans_date ; 2 3 4 5 6 7 8 9 10 11 12 19781 rows selected. Execution Plan
----------------------------------------------------------
Plan hash value: 3813767548 -------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
-------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 38474 | 2893K| 1663 (1)| 00:00:20 |
| 1 | HASH GROUP BY | | 38474 | 2893K| | |
| 2 | CONCATENATION | | | | | |
| 3 | INLIST ITERATOR | | | | | |
|* 4 | TABLE ACCESS BY INDEX ROWID| F_EVT_SAVD_LIST | 1 | 77 | 7 (0)| 00:00:01 |
|* 5 | INDEX RANGE SCAN | F_EVT_SAVD_LIST_IDX1 | 7 | | 5 (0)| 00:00:01 |
| 6 | INLIST ITERATOR | | | | | |
|* 7 | TABLE ACCESS BY INDEX ROWID| F_EVT_SAVD_LIST | 38473 | 2892K| 961 (1)| 00:00:12 |
|* 8 | INDEX RANGE SCAN | F_EVT_SAVD_LIST_IDX1 | 1781 | | 673 (1)| 00:00:09 |
------------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id):
--------------------------------------------------- 4 - filter("F_EVT_SAVD_LIST"."DC_FLAG"='1')
5 - access("F_EVT_SAVD_LIST"."VOU_KIND"='188' AND ("F_EVT_SAVD_LIST"."TRANS_CODE"='100201'
OR "F_EVT_SAVD_LIST"."TRANS_CODE"='105301') AND "TRANS_DATE">=TO_DATE(' 2013-10-10 00:00:00',
'syyyy-mm-dd hh24:mi:ss') AND "TRANS_DATE"<=TO_DATE(' 2014-03-31 00:00:00', 'syyyy-mm-dd
hh24:mi:ss'))
7 - filter("F_EVT_SAVD_LIST"."DC_FLAG"='1')
8 - access(("F_EVT_SAVD_LIST"."VOU_KIND"='3' OR "F_EVT_SAVD_LIST"."VOU_KIND"='4') AND
"TRANS_DATE">=TO_DATE(' 2013-10-10 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
"TRANS_DATE"<=TO_DATE(' 2014-03-31 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
filter("TRANS_DATE">=TO_DATE(' 2013-10-10 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
"TRANS_DATE"<=TO_DATE(' 2014-03-31 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
(LNNVL("F_EVT_SAVD_LIST"."VOU_KIND"='188') OR LNNVL("F_EVT_SAVD_LIST"."TRANS_CODE"='100201')
AND LNNVL("F_EVT_SAVD_LIST"."TRANS_CODE"='105301'))) Note
-----
- dynamic sampling used for this statement (level=2) Statistics
----------------------------------------------------------
0 recursive calls
0 db block gets
20833 consistent gets
0 physical reads
0 redo size
526389 bytes sent via SQL*Net to client
15021 bytes received via SQL*Net from client
1320 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
19781 rows processed CONCATENATION作用:进行扩展就是进行了union改写 使用NO_EXPAND:
阻止扩展 SQL> select /*+ NO_EXPAND*/ substr(xx.acct_no,1,5) agent_org, xx.vou_kind,sum( xx.trans_amt) trans_amt
from (
select * from dwf.F_EVT_SAVD_LIST
where trans_date >= to_date('2013-10-10', 'YYYY-MM-DD')
AND trans_date <= to_date('2014-03-31', 'YYYY-MM-DD')
) xx
where ( xx.vou_kind in ('3', '4')
or
( xx.vou_kind ='188' and xx.trans_code in ('100201','105301') )
)
and xx.dc_flag = '1'
group by substr(xx.acct_no,1,5), xx.vou_kind,xx.vou_no,xx.trans_date ; 2 3 4 5 6 7 8 9 10 11 12 19781 rows selected. Execution Plan
----------------------------------------------------------
Plan hash value: 1587974759 ------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 38473 | 2892K| | 261K (1)| 00:52:21 |
| 1 | HASH GROUP BY | | 38473 | 2892K| | 261K (1)| 00:52:21 |
|* 2 | TABLE ACCESS BY INDEX ROWID | F_EVT_SAVD_LIST | 38473 | 2892K| | 261K (1)| 00:52:21 |
| 3 | BITMAP CONVERSION TO ROWIDS | | | | | | |
| 4 | BITMAP OR | | | | | | |
| 5 | BITMAP CONVERSION FROM ROWIDS| | | | | | |
| 6 | SORT ORDER BY | | | | 15M| | |
|* 7 | INDEX RANGE SCAN | F_EVT_SAVD_LIST_IDX1 | | | | 676 (1)| 00:00:09 |
| 8 | BITMAP CONVERSION FROM ROWIDS| | | | | | |
| 9 | SORT ORDER BY | | | | 15M| | |
|* 10 | INDEX RANGE SCAN | F_EVT_SAVD_LIST_IDX1 | | | | 676 (1)| 00:00:09 |
| 11 | BITMAP CONVERSION FROM ROWIDS| | | | | | |
| 12 | SORT ORDER BY | | | | 15M| | |
|* 13 | INDEX RANGE SCAN | F_EVT_SAVD_LIST_IDX1 | | | | 676 (1)| 00:00:09 |
------------------------------------------------------------------------------------------------------------------ Predicate Information (identified by operation id):
--------------------------------------------------- 2 - filter("F_EVT_SAVD_LIST"."DC_FLAG"='1' AND "TRANS_DATE">=TO_DATE(' 2013-10-10 00:00:00',
'syyyy-mm-dd hh24:mi:ss') AND "TRANS_DATE"<=TO_DATE(' 2014-03-31 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
7 - access("F_EVT_SAVD_LIST"."VOU_KIND"='3')
filter("F_EVT_SAVD_LIST"."VOU_KIND"='3')
10 - access("F_EVT_SAVD_LIST"."VOU_KIND"='4')
filter("F_EVT_SAVD_LIST"."VOU_KIND"='4')
13 - access("F_EVT_SAVD_LIST"."VOU_KIND"='188')
filter(("F_EVT_SAVD_LIST"."TRANS_CODE"='100201' OR "F_EVT_SAVD_LIST"."TRANS_CODE"='105301') AND
"F_EVT_SAVD_LIST"."VOU_KIND"='188') Note
-----
- dynamic sampling used for this statement (level=2) Statistics
----------------------------------------------------------
4 recursive calls
0 db block gets
210065 consistent gets
0 physical reads
0 redo size
548250 bytes sent via SQL*Net to client
15021 bytes received via SQL*Net from client
1320 SQL*Net roundtrips to/from client
3 sorts (memory)
0 sorts (disk)
19781 rows processed 现在走了 BITMAP CONVERSION FROM ROWIDS逻辑读变为210065 ,反而增大 ,静止BITMAP CONVERSION FROM ROWIDS呢? B-tree to Bitmap Conversions
One of the optimizer’s strategies is to range scan B-tree indexes to acquire lists of rowids, convert
the lists of rowids into the equivalent bitmaps, and perform bitwise operations to identify a
small set of rows. Effectively, the optimizer can take sets of rowids from index range scans and
convert them to bitmap indexes on the fly before doing an index_combine on the resulting 优化器的其中一个策略是 Index range scan 得到需要的rowid,转为rowid列表到等效的视图,执行按位运算来确定笑的行集。 实际上,优化器可以取出行集转换为 bitmap indexes bitmap indexes.
In 8i, only tables with existing bitmap indexes could be subject to this treatment, unless
the parameter _b_tree_bitmap_plans had been set to relax the requirement for a preexisting
bitmap index. In 9i, the default value for this parameter changed from false to true—so you may see
execution plans involving bitmap conversions after you’ve upgraded, even though you don’t
have a single bitmap index in your database. Unfortunately, because of the implicit packing
assumption that the optimizer uses for bitmap indexes, this will sometimes be a very bad idea.
As a related issue, this change can make it worth using the minimize_records_per_block
option on all your important tables. SQL> alter session set "_b_tree_bitmap_plans"=false; Session altered. SQL> select /*+ NO_EXPAND*/ substr(xx.acct_no,1,5) agent_org, xx.vou_kind,sum( xx.trans_amt) trans_amt
from (
select * from dwf.F_EVT_SAVD_LIST
where trans_date >= to_date('2013-10-10', 'YYYY-MM-DD')
AND trans_date <= to_date('2014-03-31', 'YYYY-MM-DD')
) xx
where ( xx.vou_kind in ('3', '4')
or
( xx.vou_kind ='188' and xx.trans_code in ('100201','105301') )
)
and xx.dc_flag = '1'
group by substr(xx.acct_no,1,5), xx.vou_kind,xx.vou_no,xx.trans_date ; 2 3 4 5 6 7 8 9 10 11 12 19781 rows selected. Execution Plan
----------------------------------------------------------
Plan hash value: 2812292261 --------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
--------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 38473 | 2892K| 268K (2)| 00:53:47 |
| 1 | HASH GROUP BY | | 38473 | 2892K| 268K (2)| 00:53:47 |
|* 2 | TABLE ACCESS FULL| F_EVT_SAVD_LIST | 38473 | 2892K| 268K (2)| 00:53:47 |
-------------------------------------------------------------------------------------- Predicate Information (identified by operation id):
--------------------------------------------------- 2 - filter("F_EVT_SAVD_LIST"."DC_FLAG"='1' AND "TRANS_DATE">=TO_DATE('
2013-10-10 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND "TRANS_DATE"<=TO_DATE('
2014-03-31 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
(("F_EVT_SAVD_LIST"."VOU_KIND"='3' OR "F_EVT_SAVD_LIST"."VOU_KIND"='4') OR
"F_EVT_SAVD_LIST"."VOU_KIND"='188' AND
("F_EVT_SAVD_LIST"."TRANS_CODE"='100201' OR
"F_EVT_SAVD_LIST"."TRANS_CODE"='105301'))) Note
-----
- dynamic sampling used for this statement (level=2) Statistics
----------------------------------------------------------
5 recursive calls
0 db block gets
1210345 consistent gets
1210244 physical reads
0 redo size
548290 bytes sent via SQL*Net to client
15021 bytes received via SQL*Net from client
1320 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
19781 rows processed 此时走了全表扫描
												

OR扩展的更多相关文章

  1. Asp.net Boilerplate之AbpSession扩展

    当前Abp版本1.2,项目类型为MVC5. 以属性的形式扩展AbpSession,并在"记住我"后,下次自动登录也能获取到扩展属性的值,版权归"角落的白板报"所 ...

  2. 恢复SQL Server被误删除的数据(再扩展)

    恢复SQL Server被误删除的数据(再扩展) 大家对本人之前的文章<恢复SQL Server被误删除的数据> 反应非常热烈,但是文章里的存储过程不能实现对备份出来的日志备份里所删数据的 ...

  3. .NET Core中间件的注册和管道的构建(3) ---- 使用Map/MapWhen扩展方法

    .NET Core中间件的注册和管道的构建(3) ---- 使用Map/MapWhen扩展方法 0x00 为什么需要Map(MapWhen)扩展 如果业务逻辑比较简单的话,一条主管道就够了,确实用不到 ...

  4. .NET Core中间件的注册和管道的构建(2)---- 用UseMiddleware扩展方法注册中间件类

    .NET Core中间件的注册和管道的构建(2)---- 用UseMiddleware扩展方法注册中间件类 0x00 为什么要引入扩展方法 有的中间件功能比较简单,有的则比较复杂,并且依赖其它组件.除 ...

  5. 采用EntityFramework.Extended 对EF进行扩展(Entity Framework 延伸系列2)

    前言 Entity Framework 延伸系列目录 今天我们来讲讲EntityFramework.Extended 首先科普一下这个EntityFramework.Extended是什么,如下: 这 ...

  6. Dapper扩展之~~~Dapper.Contrib

    平台之大势何人能挡? 带着你的Net飞奔吧!http://www.cnblogs.com/dunitian/p/4822808.html#skill 上一篇文章:Dapper逆天入门~强类型,动态类型 ...

  7. ExtJS 4.2 Date组件扩展:添加清除按钮

    ExtJS中除了提供丰富的组件外,我们还可以扩展他的组件. 在这里,我们将在Date日期组件上添加一个[清除]按钮,用于此组件已选中值的清除. 目录 1. Date组件介绍 2. 主要代码说明 3. ...

  8. .NET Core的文件系统[5]:扩展文件系统构建一个简易版“云盘”

    FileProvider构建了一个抽象文件系统,作为它的两个具体实现,PhysicalFileProvider和EmbeddedFileProvider则分别为我们构建了一个物理文件系统和程序集内嵌文 ...

  9. Hawk 6. 编译和扩展开发

    Hawk是开源项目,因此任何人都可以为其贡献代码.作者也非常欢迎使用者能够扩展出更有用的插件. 编译 编译需要Visual Stuido,版本建议使用2015, 2010及以上没有经过测试,但应该可以 ...

  10. 为IEnumerable<T>添加RemoveAll<IEnumerable<T>>扩展方法--高性能篇

    最近写代码,遇到一个问题,微软基于List<T>自带的方法是public bool Remove(T item);,可是有时候我们可能会用到诸如RemoveAll<IEnumerab ...

随机推荐

  1. html(四)

    今天html的内容就讲完了,感觉时间过得好快啊,知识点比较多,需要慢慢消化啊... <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Trans ...

  2. JavaScript 单例模式实现

    Singleton模式指的是调用一个类,任何时候返回的都是同一个实例. 对于Node来说,模块文件可以看成是一个类.怎么保证每次执行这个模块文件,返回的都是同一个实例呢? 很容易想到,可以把实例放到顶 ...

  3. C++ lambda 表达式传递的变量默认不可变

    我遇到例如以下问题: int count=0; listener->onTouchMoved=[count](Touch* t,Event* e){ count++; log("onT ...

  4. 常用语言api语法Cheat Sheet

    http://overapi.com/jquery/ OverAPI.com Python jQuery NodeJS PHP Java Ruby Javascript ActionScript CS ...

  5. [Javascript] JSON.parse API

    JSON (JavaScript Object Notation) is a standard method to serialize JavaScript objects and is common ...

  6. javascript eval和JSON之间的联系(转)

    eval函数的工作原理 eval函数会评估一个给定的含有JavaScript代码的字符串,并且试图去执行包含在字符串里的表达式或者一系列的合法的JavaScript语句.eval函数将把最后一个表达式 ...

  7. js中setTimeout/setInterval定时器用法示例

    js中setTimeout(定时执行一次)和setInterval(间隔循环执行)用法介绍. setTimeout:在指定的毫秒数后调用指定的代码段或函数:setTimeout示例代码 functio ...

  8. java开发webservice的几种方式

    webservice的应用已经越来越广泛了,下面介绍几种在Java体系中开发webservice的方式,相当于做个记录. 1.Axis2 Axis是apache下一个开源的webservice开发组件 ...

  9. chmod

    0表示没有权限,1表示可执行权限,2表示可写权限,4表示可读权限数字与字符对应关系如下:r=4,w=2,x=1若要rwx属性则4+2+1=7若要rw-属性则4+2=6:若要r-x属性则4+1=5命令: ...

  10. SplitButton( 分割按钮)

    一. 加载方式//class 加载方式<a href="javascript:void(0)" id="edit" class="easyui- ...