一直以来,类似非归档无备份的数据库损坏,或者备份不可用,或者用备份恢复因为时间太长或者空间限制等等原因制约,非常规恢复一直是我们不能扔掉的救命稻草,在这个方面我并不擅长,但是一直都很喜欢。 记得2001年前后,我第一次有兴趣想要认真学习一下Orac
一直以来,类似非归档无备份的数据库损坏,或者备份不可用,或者用备份恢复因为时间太长或者空间限制等等原因制约,非常规恢复一直是我们不能扔掉的救命稻草,在这个方面我并不擅长,但是一直都很喜欢。
记得2001年前后,我第一次有兴趣想要认真学习一下Oracle(以前做开发相关比较多,菜鸟dba),在还没有了解Oracle备份恢复的机制时,忘记为什么首先接触了Oracle 817的Standby,一周内完整的读了一遍文档,动手搭建了两个,并记录在ITPUB和我自己的blog上,很有成就感,而那时,我还没有意识到,其实Standby 的本质就是数据库的备份和恢复的完美结合。
后来有机会作为dba参加一个公司(在当时没觉得公司小,但是只有我一个菜鸟dba,O(∩_∩)O哈哈~)的一个海外项目,是做一个3节点Oracle 817 OPS 克隆数据库的事情,当时我还不熟悉RMAN,使用dd裸设备的方式完成了任务。这个项目之后,我开始迷上Oracle的备份和恢复,并且开始玩rman了。
迄今为止,我还是认为数据库备份恢复是学习Oracle的最佳入口,因为很多时候你可以方便的模拟场景,并研究恢复,在一个个案例中,学习和了解更多internal的原理。当然,任何时候官方文档都是第一步,没有这个基础,很多都如同空中楼阁。
还有一点,一个好的架构设计、备份恢复策略和灾备设计都是最好的选择,这个是毋庸置疑的。
但是中国大量D版客户,尤其是小客户中太多情况下是没有专业的设计,出了问题,非常规恢复的手段就是救命稻草了。
下面的ppt就是去年一个客户在备份不可用的情况下,花“巨资”请人做了非常规恢复后,找我们去做的一次交流,客户要求的主题就是“非常规恢复”:
浅谈Oracle非常规恢复-lunar
原文地址:浅谈Oracle非常规恢复, 感谢原作者分享。

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


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