mysql日志文件是我们比较熟悉的,下面就对mysql日志文件进行了详细的说明介绍,如果您对mysql日志文件方面感兴趣的话,不妨一看。 1.错误日志 Error Log 错误日志记录了mysql server 运行过程中所有较为严重的警告和错误信息,以及mysql每次启动和关闭的详细
mysql日志文件是我们比较熟悉的,下面就对mysql日志文件进行了详细的说明介绍,如果您对mysql日志文件方面感兴趣的话,不妨一看。
1.错误日志 Error Log
错误日志记录了mysql server 运行过程中所有较为严重的警告和错误信息,以及mysql每次启动和关闭的详细信息。
开启方法在启动mysql 时候加上--log-error选项。错误日志默认放在数据目录下,以hostname.err命名。但是可以使用命令--log-error[=file_name]修改其存放目录和文件名。
有时候,希望将错误日志做备份并重新开始记录,使用flush logs命令备份文件以.old结尾。
2.二进制日志:Binary Log&Binary Log Index
就是常说的binlog,是mysql中最为重要的日志之一。在通过--log-bin[=file_name]打开记录的功能之后,mysql会将所有修改数据库数据的query以二进制的时候记录到日志文件中,其中包括每一条query所执行的时间,所消耗的资源,以及相关事务信息,如果没有指定file_name,会在数据目录下记录为mysql-bin.****。
binlog还有其他一些附加选项参数:
--max_binlog_size设置binlog的最大存储上限,当日志到达这个上限的时候,会重新创建一个文件记录。
--binlog-do-db=db_name参数告诉mysql只对某个数据库记录binlog
--binlog-ignore-db=db_name参数告诉mysql忽略对某个数据库记录binlog
3.更新日志:update log
mysql5.0以后不支持,和binlog类似,但是不是以二进制形式记录,是简单的文本格式记录
4.查询日志:query log
查询日志记录mysql中所有的query,可通过--log[=file_name]来打开该日志,由于记录了所有的query,体积庞大,开启后对性能也有较大的影响,只在跟踪某些特殊的query性能问题时候才会短暂开启该功能。默认的文件名hostname.log。
5.慢查询日志:slow query log
通过--log-slow-queries[=file_name]来打开该功能并设置记录位置和文件名,默认文件名:hostname-slow.log,默认目录也是数据目录。
6InnoDB的在线的REDO日志:InnoDB REDO Log
REDO日志中记录了InnoDB所做的所有物理变更和事务信息,通过REDO日志和UNDO信息,InnoDB保证了在任何情况下的事务安全性。InnoDB的REDO日志同样默认存放在数据目录下,可以通过innodb_log_group_home_dir来更改设置日志的存放位置。通过innodb_log_files_in_group设置日志的数量。

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The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.

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InnoDB achieves atomicity through undolog, consistency and isolation through locking mechanism and MVCC, and persistence through redolog. 1) Atomicity: Use undolog to record the original data to ensure that the transaction can be rolled back. 2) Consistency: Ensure the data consistency through row-level locking and MVCC. 3) Isolation: Supports multiple isolation levels, and REPEATABLEREAD is used by default. 4) Persistence: Use redolog to record modifications to ensure that data is saved for a long time.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.


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