MySQL InnoDB和MyISAM数据引擎的差别分析
InnoDB和MyISAM是在使用MySQL最常用的两个表类型,各有优缺点,视具体应用而定。基本的差别为:MyISAM类型不支持事务处理等高级处理,而InnoDB类型支持
MyISAM类型的表强调的是性能,其执行数度比InnoDB类型更快,但是不提供事务支持,而InnoDB提供事务支持已经外部键等高级数据库功能。MyIASM是IASM表的新版本,有如下扩展:
二进制层次的可移植性。
NULL列索引。
对变长行比ISAM表有更少的碎片。
支持大文件。
更好的索引压缩。
更好的键吗统计分布。
更好和更快的auto_increment处理。
以下是一些细节和具体实现的差别:
1.InnoDB不支持FULLTEXT类型的索引。
2.InnoDB 中不保存表的具体行数,也就是说,执行select count(*) from table时,InnoDB要扫描一遍整个表来计算有多少行,但是MyISAM只要简单的读出保存好的行数即可。注意的是,当count(*)语句包含 where条件时,两种表的操作是一样的。
3.对于AUTO_INCREMENT类型的字段,InnoDB中必须包含只有该字段的索引,但是在MyISAM表中,可以和其他字段一起建立联合索引。
4.DELETE FROM table时,InnoDB不会重新建立表,而是一行一行的删除。
5.LOAD TABLE FROM MASTER操作对InnoDB是不起作用的,解决方法是首先把InnoDB表改成MyISAM表,导入数据后再改成InnoDB表,但是对于使用的额外的InnoDB特性(例如外键)的表不适用。
另外,InnoDB表的行锁也不是绝对的,如果在执行一个SQL语句时MySQL不能确定要扫描的范围,InnoDB表同样会锁全表,例如update table set num=1 where name like “%aaa%”
任何一种表都不是万能的,只用恰当的针对业务类型来选择合适的表类型,才能最大的发挥MySQL的性能优势。

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

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

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

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.
