今天在用mysql的innodb引擎时突然出现InnoDB registration as a STORAGE ENGINE failed.Unknown/unsupported table type: innodb.系统变得无法正常启动了,经过分析做个记录以借再次碰到此类问题的同学参考。
前几天,启动时,突然报1067系统错误,死活无法启动。
当时不管三七二十八,重装,清空注册表,重启,任然没办法启动。
总是在安装后的配置那里最后一步启动服务的界面卡死,半天没反应。
折腾了两三个小时,才猛然想起,该去看看日志,
110223 15:58:08 [Note] Plugin 'FEDERATED' is disabled.
110223 15:58:08 InnoDB: Initializing buffer pool, size = 17.0M
110223 15:58:08 InnoDB: Completed initialization of buffer pool
InnoDB: No valid checkpoint found.
InnoDB: If this error appears when you are creating an InnoDB database,
InnoDB: the problem may be that during an earlier attempt you managed
InnoDB: to create the InnoDB data files, but log file creation failed.
InnoDB: If that is the case, please refer to
InnoDB: http://dev.mysql.com/doc/refman/5.1/en/error-creating-innodb.html
110223 15:58:08 [ERROR] Plugin 'InnoDB' init function returned error.
110223 15:58:08 [ERROR] Plugin 'InnoDB' registration as a STORAGE ENGINE failed.
110223 15:58:08 [ERROR] Unknown/unsupported table type: innodb
110223 15:58:08 [ERROR] Aborting
大意是innodb初始化失败,不认识innodb类型。
google了一下,把my.ini文件打开,更改default-storage-engine=innodb为default-storage-engine=myism
启动成功。但是建表时找不到innodb引擎了。
但想着,也不能老这样啊,这样innodb也用不了了,有google了一下,主要是innodb日志大小不对造成的
innodb_buffer_pool_size=512M
innodb_log_file_size=128M
把以上几个参数调大点,然后把ibdata1,ib_logfile0,ib_logfile1这三个文件删除后,再重启服务就好了。
如果还是不行,在my.ini文件里还需要加入tmpdir="usr/tmp"这样的路径,因为innodb还需要一个临时的文件缓存区。
还遇到的问题是密码正确,但GUI工具无法登陆,可以先用配置程序修改密码,然后在命令行下登陆刷新权限就可以了。flush privilege.
记录下来,仅供遇到此类问题的同学参考。

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

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.

SQL commands in MySQL can be divided into categories such as DDL, DML, DQL, DCL, etc., and are used to create, modify, delete databases and tables, insert, update, delete data, and perform complex query operations. 1. Basic usage includes CREATETABLE creation table, INSERTINTO insert data, and SELECT query data. 2. Advanced usage involves JOIN for table joins, subqueries and GROUPBY for data aggregation. 3. Common errors such as syntax errors, data type mismatch and permission problems can be debugged through syntax checking, data type conversion and permission management. 4. Performance optimization suggestions include using indexes, avoiding full table scanning, optimizing JOIN operations and using transactions to ensure data consistency.

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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