Oracle undo表空间与redo日志
undo表空间与redo日志文件在oracle中的作用非常重要,本文重点介绍undo回滚段的作用与特点,同时简单介绍undo与redo的区别和各自
undo表空间与redo日志文件在Oracle中的作用非常重要,本文重点介绍undo回滚段的作用与特点,同时简单介绍undo与redo的区别和各自己的作用:
一.undo中数据的特点:
1。是数据修改前的备份,主要是保证用户的读一致性
2. 在事务修改数据时产生
3。至少保存到事务结束
二。undo数据的作用:
1.回滚(rollback)操作
2.实现读一致性与闪回查询
3.从失败的事务中还原数据
4. 非正常停机后的实例恢复
三.undo回滚段的特点:
1.回滚段是由实例自动创建用于支持事务运行的专用段,同样是区和块组成,回滚顶会按实际需要自动进行增长或收缩,是一段可以给指定事务循环使用的存储缓冲区。
2.每个事务只会使用一个回滚段,一个回滚段在同一时刻可能会服务于多个事务
3.当一个事务开始的时候,会指定一个回滚段,在事务进行的过程中,当数据被修改时,原始的数据会被复制到回滚段。
4。在回滚段中,事务会不断填充盘区,直到事务结束或所有的空间被用完,如果当前的盘区不够用,事务会在段中请求扩展下一个盘区,如果所有已分配的盘区都被用完,事务会覆盖最初的盘区或者在回滚段允许的情况下扩展新的盘区来使用.
5。回滚段存在于undo表空间中,在数据库中可以存在多个undo表空间,但同一时刻只能使用一个undo表空间。
四.回滚段中的数据类型:
回滚段中的数据主要分为以下三种:
1.Uncommitted undo information; 未提交的回滚数据,该数据所关联的事务并未提交,用于实现读一致性,所以该数据不能被其它事务的数据所覆盖
2.Committed undo information;已经提交但未过期的回滚数据,该数据关联的事务已经提交,但是仍受到undo retention参数保持时间的影响
3.Expired undo information;事务已经提交,而且数据保存时间已经超过undo retention参数指定的时间,属于已经过期的数据
当回滚段满了后,会优先覆盖Expired undo information,当过期数据空间用完后,会再覆盖Committed undo information的区域,这时undo retention参数所规定的保持时间会被破坏,Uncommitted undo information的数据是不允许覆盖的,如果要求提交的数据在undo retention参数规定的时间内不会被覆盖,可以在undo表空间上指定RETENTION GUARANTEE,语法如下:
ALTER TABLESPACE UNDOTBS1 RETENTION GUARANTEE;
五。undo数据与redo数据的区别:
1.undo记录数据修改之前的操作,,redo记录磁盘数据将要进行的操作.
2.undo用于数据的回滚操作,和实现一致性读,redo用于前滚数据库操作
3.undo存储在回滚段里,redo存储在重做日志文件里
4.undo用于在多用户并发的系统里保证一致性读,redo用于防止数据丢失
六.与undo有关的相关参数
undo_management = auto 自动的undo表空间管理
undo_tablespace = undotbs1 设置undo表空间的名称,可以存在多个undo表空间,但同时只能使用一个
undo_retention = 900(秒) 设置快照保存的最少时间,设置后在此时间段内仍有可能会被覆盖
ALTER TABLESPACE UNDO_TS RETENTION GUARANTEE; 强制所有快照必须保存 undo_retention所规定的时间。

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

The article discusses dropping tables in MySQL using the DROP TABLE statement, emphasizing precautions and risks. It highlights that the action is irreversible without backups, detailing recovery methods and potential production environment hazards.
