Oracle重做日志(redo log)是用来记录操作条目,用于数据库数据恢复。为了提高效率,oracle通常建议设置三组redo log。本文将对
Oracle重做日志(redo log)是用来记录操作条目,用于数据库数据恢复。为了提高效率,oracle通常建议设置三组redo log。本文将对重做日志组的状态以及多种状态之间切换做解析,力求掌握该知识点。
Oracle调整联机重做日志大小(change redo log size)
Oracle 联机重做日志文件(ONLINE LOG FILE)
Oracle联机重做日志丢失的恢复
Oracle 联机重做日志文件(online redo log file) 详述
Oracle重做日志文件版本不一致问题处理
【备份与恢复】恢复受损的复用联机重做日志文件
一.概述
oracle重做日志组通常有四种状态,即unused,inactive,active,current。
unused通常指从未被使用的日志组,,即新添加的日志组。
current状态为LGWR进程正把redo log buffer的日志写进日志组中。
active为刚刚完成日志切换后的状态,此时该日志组中提交的事务引起的数据改变还没有完全从DB buffer cache写入到数据文件中,因此该日志组还不能被覆盖,并且待完全写入后变为inactive状态。如果数据库为归档模式,那么是在该状态下完成归档的。
inactive状态的日志可以被覆盖,可以允许写入日志。如果是在归档模式下,那么此阶段证明归档已经完成。
二.实验
本次实验以开启归档模式为例:
日志组为三组,状态分别为inactive,inactive,current。如图:
手动归档后,观察发现组1的状态变为current,组3的状态变为active,组2的状态不变 。如下图:
说明当前写入的日志组为组1,组3正在进行归档和进行必要的数据写入至datafile。待这两项工作完成后,再看如下图:
说明组3已经完成了归档,可以允许下一次写入了。在非归档模式下,组3的状态也能变成inactive,说明完成了数据从DB BUFFER CACHE写入至DB files。
三、总结
上述实验很好的说明了oracle日志组在整个生命周期所具有的状态。当然没有看到unused状态,这种状态是当日志组刚新添到数据库后的状态,这种操作在生产环境中很少,所以本次实验没有看到这种状态。
另外有人会认为在手动日志切换时为什么使用命令alter system archive log current。这里也做一个说明。
两组命令最后的效果一样。alter system switch logfile是不等归档完成就进行switch logfile操作,速度快,尤其在非归档模式下适用,对当前实例生效。而alter system archive log current要等待归档完成才操作,对所有实例生效。
本文永久更新链接地址:

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Dreamweaver Mac version
Visual web development tools

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

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version
Useful JavaScript development tools