OR扩展
<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
- 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 ...
- 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 ...
- .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 ...
- .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 ...
- 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 ...
- 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 ...
- 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. ...
- .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 ...
- 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 ...
- 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
- CCF 送货 + 欧拉路模板
#include <bits/stdc++.h> using namespace std; stack<int> st; vector<]; ][]; ],cp[]; i ...
- storm 事务和DRPC结合
示例代码: package com.lky.topology; import backtype.storm.Config; import backtype.storm.LocalCluster; im ...
- Zookeeper为什么总是奇数个
zookeeper有这样一个特性: [集群中只要有超过过半的机器是正常工作的,那么整个集群对外就是可用的] 也就是说如果有2个zookeeper,那么只要有1个死了zookeeper就不能用了,因为1 ...
- MongoDB的数据类型
最近在写一个lua的MongoDB模块.MongoDB版本3.2,lua则是5.3.1.底层以C++来写,再把函数暴露给lua调用.但是在lua中打印结果时,发现了些奇怪的现象.首先,数据库中的内容: ...
- js中的函数，Date对象，Math对象和数组对象
函数就是完成某个功能的一组语句,js中的函数由关键字 function + 函数名 + 一组参数定义;函数在定义后可以被重复调用,通常将常用的功能写成一个函数,利用函数可以使代码的组织结构更多清晰. ...
- 三、Solr多核心及分词器（IK）配置
多核心的概念 多核心说白了就是多索引库.也可以理解为多个"数据库表" 说一下使用multicore的真实场景,比若说,产品搜索和会员信息搜索,不使用多核也没问题,这样带来的问题是 ...
- sqlserver，执行生成脚本时“引发类型为“System.OutOfMemoryException”的异常”(已解决)
sqlserver,执行生成脚本时“引发类型为“System.OutOfMemoryException”的异常”(已解决) 出现此错误主要是因为.sql的脚本文件过大(一般都超过100M)造成内存无法 ...
- 一键注册控件的批处理（包含x86 和 x64）
@echo off if "%PROCESSOR_ARCHITECTURE%"=="x86" goto x86 if "%PROCESSOR_ARCH ...
- mevan引入容联云通讯jar
首先从官网下载jar 然后拷贝到lib目录下 最后在pom.xml中这样写 <dependency> <groupId>cn.com</groupId> <a ...
- Java基础知识强化68：基本类型包装类之Character概述和Character常见方法
1. Character概述: public final class Character extends Object implements Serializable,Comparable<Ch ...