MySQL 5.6之innodb导入的改进
在MySQL 5.6之前,导入单个innodb表的idb文件需要对齐tablespace id,而如果tablespace id不一致,就需要通过在新库不挺的新建表
在MySQL 5.6之前,导入单个innodb表的idb文件需要对齐tablespace id,而如果tablespace id不一致,就需要通过在新库不挺的新建表,来增长tablespace id,,以致对齐tablespace id。
5.6版本之后
alter table ... import tablespace
已经不需要对齐tablespace id。
alter table ...for export
5.6增加了以上命令,可以使导出的idb文件保持一致状态,并且生成文件.cfg后缀文件。当我们需要单表复制的时候,直接拷贝.frm/.idb/.cfg文件,然后直接执行
alter table ... import tablespace
即可导入.
在5.6.8之后,可以不需要生成cfg文件,直接复制idb文件和结构文件即可进行导入!但是会生成如下告警:
Warning Code : 1810
InnoDB: IO Read error: (2, No such file or directory) Error opening './test/log_table_cube.cfg', will attempt to import without schema verification
注意,当对表加上for export锁定之后,复制完记得unlock tables释放该锁!
InnoDB存储引擎的启动、关闭与恢复
MySQL InnoDB独立表空间的配置
MySQL Server 层和 InnoDB 引擎层 体系结构图
InnoDB 死锁案例解析
MySQL Innodb独立表空间的配置
本文永久更新链接地址:

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 is one of the database engines of MySQL. It is now the default storage engine of MySQL and one of the standards for binary releases by MySQL AB. InnoDB adopts a dual-track authorization system, one is GPL authorization and the other is proprietary software authorization. InnoDB is the preferred engine for transactional databases and supports transaction security tables (ACID); InnoDB supports row-level locks, which can support concurrency to the greatest extent. Row-level locks are implemented by the storage engine layer.

InnoDB is a storage engine that stores data in tables on disk, so our data will still exist even after shutdown and restart. The actual process of processing data occurs in memory, so the data in the disk needs to be loaded into the memory. If it is processing a write or modification request, the contents in the memory also need to be refreshed to the disk. And we know that the speed of reading and writing to disk is very slow, which is several orders of magnitude different from reading and writing in memory. So when we want to get certain records from the table, does the InnoDB storage engine need to read the records from the disk one by one? The method adopted by InnoDB is to divide the data into several pages, and use pages as the basic unit of interaction between disk and memory. The size of a page in InnoDB is generally 16

1. Roll back and reinstall mysql. In order to avoid the trouble of importing this data from other places, first make a backup of the database file of the current library (/var/lib/mysql/location). Next, I uninstalled the Perconaserver 5.7 package, reinstalled the original 5.1.71 package, started the mysql service, and it prompted Unknown/unsupportedtabletype:innodb and could not start normally. 11050912:04:27InnoDB:Initializingbufferpool,size=384.0M11050912:04:27InnoDB:Complete

MySQL storage engine selection comparison: InnoDB, MyISAM and Memory performance index evaluation Introduction: In the MySQL database, the choice of storage engine plays a vital role in system performance and data integrity. MySQL provides a variety of storage engines, the most commonly used engines include InnoDB, MyISAM and Memory. This article will evaluate the performance indicators of these three storage engines and compare them through code examples. 1. InnoDB engine InnoDB is My

1. Mysql transaction isolation level These four isolation levels, when there are multiple transaction concurrency conflicts, some problems of dirty reading, non-repeatable reading, and phantom reading may occur, and innoDB solves them in the repeatable read isolation level mode. A problem of phantom reading, 2. What is phantom reading? Phantom reading means that in the same transaction, the results obtained when querying the same range twice before and after are inconsistent as shown in the figure. In the first transaction, we execute a range query. At this time, there is only one piece of data that meets the conditions. In the second transaction, it inserts a row of data and submits it. When the first transaction queries again, the result obtained is one more than the result of the first query. Data, note that the first and second queries of the first transaction are both in the same

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.

MySQL is a widely used database management system, and different storage engines have different impacts on database performance. MyISAM and InnoDB are the two most commonly used storage engines in MySQL. They have different characteristics and improper use may affect the performance of the database. This article will introduce how to use these two storage engines to optimize MySQL performance. 1. MyISAM storage engine MyISAM is the most commonly used storage engine for MySQL. Its advantages are fast speed and small storage space. MyISA

Tips and strategies to improve the read performance of MySQL storage engine: Comparative analysis of MyISAM and InnoDB Introduction: MySQL is one of the most commonly used open source relational database management systems, mainly used to store and manage large amounts of structured data. In applications, the read performance of the database is often very important, because read operations are the main type of operations in most applications. This article will focus on how to improve the read performance of the MySQL storage engine, focusing on a comparative analysis of MyISAM and InnoDB, two commonly used storage engines.
