作者:Jerry

有时候优化sql的时候,在执行计划中看到有VM_NSO_X的视图,在Oracle定义中,可以吧NSO理解为nested subquery optimizing,功能就是把in转换为join,把not in转换为anti join等,当然转换的时候有一定的限制。下面我们来简单看下会生成VM_NSO_1视图的几个例子

1. 创建2个测试表

SQL> create table test_jerry as select * from dba_objects;

Table created.

SQL> create table test_jerry2 as select * from dba_objects;

Table created.

SQL> select count(*) from test_jerry where object_id not in (select max(object_id) from test_jerry2 group by owner);

Execution Plan
----------------------------------------------------------
Plan hash value: 3525080607 ------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 26 | | 908 (1)| 00:00:11 |
| 1 | SORT AGGREGATE | | 1 | 26 | | | |
|* 2 | HASH JOIN RIGHT ANTI NA| | 89846 | 2281K| 2144K| 908 (1)| 00:00:11 |
| 3 | VIEW | VW_NSO_1 | 87509 | 1110K| | 349 (1)| 00:00:05 |
| 4 | HASH GROUP BY | | 87509 | 2563K| | 349 (1)| 00:00:05 |
| 5 | TABLE ACCESS FULL | TEST_JERRY2 | 87509 | 2563K| | 347 (1)| 00:00:05 |
| 6 | TABLE ACCESS FULL | TEST_JERRY | 89847 | 1140K| | 347 (1)| 00:00:05 |
------------------------------------------------------------------------------------------------ Predicate Information (identified by operation id):
--------------------------------------------------- 2 - access("OBJECT_ID"="MAX(OBJECT_ID)") Note
-----
- dynamic sampling used for this statement (level=2) Statistics
----------------------------------------------------------
0 recursive calls
0 db block gets
2490 consistent gets
2484 physical reads
0 redo size
528 bytes sent via SQL*Net to client
524 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed SQL> select count(*) from test_jerry where object_id not in (select max(object_id) from test_jerry2); Execution Plan
----------------------------------------------------------
Plan hash value: 3071647562 ------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 13 | 694 (1)| 00:00:09 |
| 1 | SORT AGGREGATE | | 1 | 13 | | |
|* 2 | TABLE ACCESS FULL | TEST_JERRY | 4492 | 58396 | 347 (1)| 00:00:05 |
| 3 | SORT AGGREGATE | | 1 | 13 | | |
| 4 | TABLE ACCESS FULL| TEST_JERRY2 | 87509 | 1110K| 347 (1)| 00:00:05 |
------------------------------------------------------------------------------------ Predicate Information (identified by operation id):
--------------------------------------------------- 2 - filter("OBJECT_ID"<> (SELECT MAX("OBJECT_ID") FROM "TEST_JERRY2"
"TEST_JERRY2")) Note
-----
- dynamic sampling used for this statement (level=2) Statistics
----------------------------------------------------------
7 recursive calls
0 db block gets
2629 consistent gets
2484 physical reads
0 redo size
528 bytes sent via SQL*Net to client
524 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed SQL> select count(*) from test_jerry where object_id in (select object_id from test_jerry2 where owner='SYS' minus select object_id from test_jerry where owner='SCOTT'); Execution Plan
----------------------------------------------------------
Plan hash value: 773093838 ----------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
----------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 26 | | 1307 (1)| 00:00:16 |
| 1 | SORT AGGREGATE | | 1 | 26 | | | |
|* 2 | HASH JOIN | | 32153 | 816K| | 1307 (1)| 00:00:16 |
| 3 | VIEW | VW_NSO_1 | 32153 | 408K| | 960 (1)| 00:00:12 |
| 4 | MINUS | | | | | | |
| 5 | SORT UNIQUE | | 32153 | 941K| 1272K| | |
|* 6 | TABLE ACCESS FULL| TEST_JERRY2 | 32153 | 941K| | 347 (1)| 00:00:05 |
| 7 | SORT UNIQUE | | 14 | 420 | | | |
|* 8 | TABLE ACCESS FULL| TEST_JERRY | 14 | 420 | | 347 (1)| 00:00:05 |
| 9 | TABLE ACCESS FULL | TEST_JERRY | 89847 | 1140K| | 347 (1)| 00:00:05 |
---------------------------------------------------------------------------------------------- Predicate Information (identified by operation id):
--------------------------------------------------- 2 - access("OBJECT_ID"="OBJECT_ID")
6 - filter("OWNER"='SYS')
8 - filter("OWNER"='SCOTT') Note
-----
- dynamic sampling used for this statement (level=2) Statistics
----------------------------------------------------------
93 recursive calls
0 db block gets
4691 consistent gets
3726 physical reads
0 redo size
528 bytes sent via SQL*Net to client
524 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
12 sorts (memory)
0 sorts (disk)
1 rows processed SQL> select count(*) from test_jerry where object_id in (select object_id from test_jerry2 where owner='SYS' union all select object_id from test_jerry where owner='SCOTT'); Execution Plan
----------------------------------------------------------
Plan hash value: 1173723582 --------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
--------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 26 | 1041 (1)| 00:00:13 |
| 1 | SORT AGGREGATE | | 1 | 26 | | |
|* 2 | HASH JOIN | | 32167 | 816K| 1041 (1)| 00:00:13 |
| 3 | VIEW | VW_NSO_1 | 32167 | 408K| 694 (1)| 00:00:09 |
| 4 | HASH UNIQUE | | 32167 | 942K| 694 (1)| 00:00:09 |
| 5 | UNION-ALL | | | | | |
|* 6 | TABLE ACCESS FULL| TEST_JERRY2 | 32153 | 941K| 347 (1)| 00:00:05 |
|* 7 | TABLE ACCESS FULL| TEST_JERRY | 14 | 420 | 347 (1)| 00:00:05 |
| 8 | TABLE ACCESS FULL | TEST_JERRY | 89847 | 1140K| 347 (1)| 00:00:05 |
-------------------------------------------------------------------------------------- Predicate Information (identified by operation id):
--------------------------------------------------- 2 - access("OBJECT_ID"="OBJECT_ID")
6 - filter("OWNER"='SYS')
7 - filter("OWNER"='SCOTT') Note
-----
- dynamic sampling used for this statement (level=2) Statistics
----------------------------------------------------------
82 recursive calls
0 db block gets
4669 consistent gets
3726 physical reads
0 redo size
527 bytes sent via SQL*Net to client
524 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
8 sorts (memory)
0 sorts (disk)
1 rows processed
SQL> select count(*) from test_jerry where object_id in (SELECT LEVEL FROM DUAL CONNECT BY LEVEL<100); Execution Plan
----------------------------------------------------------
Plan hash value: 3708743834 --------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
--------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 26 | 350 (1)| 00:00:05 |
| 1 | SORT AGGREGATE | | 1 | 26 | | |
|* 2 | HASH JOIN | | 1 | 26 | 350 (1)| 00:00:05 |
| 3 | VIEW | VW_NSO_1 | 1 | 13 | 3 (34)| 00:00:01 |
| 4 | HASH UNIQUE | | 1 | | 3 (34)| 00:00:01 |
|* 5 | CONNECT BY WITHOUT FILTERING (UNIQUE)| | | | | |
| 6 | FAST DUAL | | 1 | | 2 (0)| 00:00:01 |
| 7 | TABLE ACCESS FULL | TEST_JERRY | 89847 | 1140K| 347 (1)| 00:00:05 |
-------------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id):
--------------------------------------------------- 2 - access("OBJECT_ID"="LEVEL")
5 - filter(LEVEL<100) Note
-----
- dynamic sampling used for this statement (level=2) Statistics
----------------------------------------------------------
4 recursive calls
0 db block gets
1315 consistent gets
1242 physical reads
0 redo size
526 bytes sent via SQL*Net to client
524 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
1 sorts (memory)
0 sorts (disk)
1 rows processed

可以从上面的sql得出一个简单的结论,当子查询中出现max,rownum,group by,union all,minus,intersect等聚合函数的时候,Oracle就会自动把子查询转换成视图VM_NSO_X,其实在Oracle的子查询中如果出现上面的几种情况,也就限制了view merge,就无法对视图进行merge。如果需要去掉CBO生成VM_NSO_1,只需要在子查询中加一个no_unnest限制,这样CBO就会走filter了。下面看一个加了no_unnest的执行计划

SQL> select count(*) from test_jerry where object_id in (SELECT /*+ no_unnest() */ LEVEL FROM DUAL t CONNECT BY LEVEL<100);

Execution Plan
----------------------------------------------------------
Plan hash value: 2000702637 -------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
-------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 13 | 5963 (1)| 00:01:12 |
| 1 | SORT AGGREGATE | | 1 | 13 | | |
|* 2 | FILTER | | | | | |
| 3 | TABLE ACCESS FULL | TEST_JERRY | 89847 | 1140K| 347 (1)| 00:00:05 |
|* 4 | FILTER | | | | | |
|* 5 | CONNECT BY WITHOUT FILTERING (UNIQUE)| | | | | |
| 6 | FAST DUAL | | 1 | | 2 (0)| 00:00:01 |
------------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id):
--------------------------------------------------- 2 - filter( EXISTS (SELECT /*+ NO_UNNEST */ 0 FROM "SYS"."DUAL" "T" WHERE LEVEL=:B1 CONNECT
BY LEVEL<100))
4 - filter(LEVEL=:B1)
5 - filter(LEVEL<100) Note
-----
- dynamic sampling used for this statement (level=2) Statistics
----------------------------------------------------------
7 recursive calls
0 db block gets
1385 consistent gets
1242 physical reads
0 redo size
526 bytes sent via SQL*Net to client
524 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
86968 sorts (memory)
0 sorts (disk)
1 rows processed
  • 本文固定链接: http://www.savedba.com/?p=824
  • 转载请注明: 版权所有,文章允许转载,但必须以链接方式注明源地址,否则追究法律责任!

Oracle 自动生成的视图VM_NSO_1的更多相关文章

  1. Oracle 自动生成hive建表语句

    从 oracle 数据库导数到到 hive 大数据平台,需要按照大数据平台的数据规范,重新生成建表的 SQL 语句,方便其间,写了一个自动生成SQL的存储过程. ① 创建一张表,用来存储源表的结构,以 ...

  2. oracle自动编号

    oracle自动编号 在access中有自动编号的数据类型,MSSQL和MYSQL也都有自动增长的数据类型,插入记录时不用操作此字段,会自动获得数据值,而oracle没有自动增长的数据类型,我们需要建 ...

  3. ORACLE 创建与使用视图

    一.what(什么是视图?) 1.视图是一种数据库对象,是从一个或者多个数据表或视图中导出的虚表,视图所对应的数据并不真正地存储在视图中,而是存储在所引用的数据表中,视图的结构和数据是对数据表进行查询 ...

  4. Oracle 创建和使用视图

    一.what(什么是视图?) 1.视图是一种数据库对象,是从一个或者多个数据表或视图中导出的虚表,视图所对应的数据并不真正地存储在视图中,而是存储在所引用的数据表中,视图的结构和数据是对数据表进行查询 ...

  5. 利用 Oracle EM 企业管理器 进行oracle SQL的优化(自动生成索引)

    利用 Oracle EM 企业管理器 进行oracle SQL的优化(自动生成索引) ##应用情景 项目中有大量的SQL,尤其是涉及到统计报表时,表关联比较多,当初开发建表时也没搞好索引关联的,上线后 ...

  6. 基于OCILIB的oracle数据库操作总结及自动生成Model和Dao的工具

    基于OCILIB的oracle数据库操作总结 1.       类图 2.       基类BaseOCIDao的设计与实现 BaseOCIDao.h头文件 #pragma once /* ----- ...

  7. 简单两步快速学会使用Mybatis-Generator自动生成entity实体、dao接口和简单mapper映射(用mysql和oracle举例)

    前言: mybatis-generator是根据配置文件中我们配置的数据库连接参数自动连接到数据库并根据对应的数据库表自动的生成与之对应mapper映射(比如增删改查,选择性增删改查等等简单语句)文件 ...

  8. Oracle 每天自动生成AWR报告

    经验丰富的老员工希望能够每天为数据库生成1个AWR报告,以便于后期分析数据库的性能变化,手动生成太麻烦,查了一下资料,发现可以自动生成,过程如下. 数据库环境:11gR2 RAC(双节点) AWR报告 ...

  9. Oracle 函数 “自动生成订单号”

    create or replace function get_request_code return varchar2 AS --函数的作用:自动生成订单号 v_mca_no mcode_apply_ ...

随机推荐

  1. new char()与new char[]区别

    char *pc = new char(15); //开辟一个内存单元,并用括号里的初始化(用15来初始化你定义的指针所指向的那个char)char *pc = new char[15]; //开辟一 ...

  2. vue中input输入第一个字符时,光标会消失,需要再次点击才能输入

    vue中input输入第一个字符时,光标会消失,需要再次点击才能输入 在这里我犯了一个小错误,v-if语法比较倾向于一次性操作,当input获取焦点时,v-if判断为true,立即刷新数据,进行渲染, ...

  3. redis详解(包含使用场景)

    本文围绕以下几点进行阐述 1.为什么使用redis2.使用redis有什么缺点3.单线程的redis为什么这么快4.redis的数据类型,以及每种数据类型的使用场景5.redis的过期策略以及内存淘汰 ...

  4. Navicat连接mysql报错1251 -client does not support authentication protocol

    原文https://blog.csdn.net/qq_35654080/article/details/82588188 详解请参考https://blog.csdn.net/chszs/articl ...

  5. mysqli的方法测试小结

    <?php class MysqlController extends ControllerBase { public $config = array(); public $mysql = NU ...

  6. GoCN每日新闻(2019-09-26)

    1. go-gin-api 路由中间件:Jaeger 链路追踪(六)https://mp.weixin.qq.com/s/Ea28475_UTNaM9RNfgPqJA2. golang interfa ...

  7. [SDOI2009][BZOJ 1226]学校食堂

    Description 小F 的学校在城市的一个偏僻角落,所有学生都只好在学校吃饭.学校有一个食堂,虽然简陋,但食堂大厨总能做出让同学们满意的菜肴.当然,不同的人口味也不一定相同,但每个人的口味都可以 ...

  8. [学习笔记] 二叉查找树/BST

    平衡树前传之BST 二叉查找树(\(BST\)),是一个类似于堆的数据结构, 并且,它也是平衡树的基础. 因此,让我们来了解一下二叉查找树吧. (其实本篇是作为放在平衡树前的前置知识的,但为了避免重复 ...

  9. 使用 WebRTC 构建简单的前端视频通讯

    在传统的 Web 应用中,浏览器与浏览器之间是无法直接相互通信的,必须借助服务器的帮助,但是随着 WebRTC 在各大浏览器中的普及,这一现状得到了改变. WebRTC(Web Real-Time C ...

  10. K8S Kubernetes 架构

    Kubernetes最初源于谷歌内部的Borg,提供了面向应用的容器集群部署和管理系统. Kubernetes架构 Kubernetes借鉴了Borg的设计理念,比如Pod.Service.Label ...