MySQL中MyISAM引擎和Heap引擎执行速度性能测试(1)
【引自heiyeluren的博客】测试环境 CPU:Intel Pentium4 2.66GHz Memory:1GB Disk:73GB/SCSI OS:FreeBSD 4.11 PHP:PHP 5.2.1 MySQL:MySQL 4.1.23b 前期工作 my.cnf max_heap_table_size = 128M 建表 use test; -- -- Store engine heap -- CREATE TABLE
【引自heiyeluren的博客】测试环境
CPU:Intel Pentium4 2.66GHz
Memory:1GB
Disk:73GB/SCSI
OS:FreeBSD 4.11
PHP:PHP 5.2.1
MySQL:MySQL 4.1.23b
前期工作
my.cnf
max_heap_table_size = 128M |
建表
<p>use test;</p><p>--<br>-- Store engine heap<br>--<br>CREATE TABLE `tbl_heap` ( <br>`id` int(11) NOT NULL auto_increment, <br>`name` varchar(32) NOT NULL default '', <br>`email` varchar(32) NOT NULL default '', <br>`summary` varchar(255) default '', <br>KEY `id` (`id`) <br>) ENGINE=HEAP DEFAULT CHARSET=gbk; </p><p>--<br>-- Store engine myisam<br>--<br>CREATE TABLE `tbl_isam` ( <br>`id` int(11) NOT NULL auto_increment, <br>`name` varchar(32) NOT NULL default '', <br>`email` varchar(32) NOT NULL default '', <br>`summary` varchar(255) default '', <br>KEY `id` (`id`) <br>) ENGINE=InnoDB DEFAULT CHARSET=gbk;</p> |
插入数据
说明:每次都是空表插入数据
插入10000 Record
Heap engine insert 10000 record used time: 3.5008587837219<br>MyISAM engine insert 10000 record used time: 4.5881390571594 |
50000 Record
Heap engine insert 50000 record used time: 19.895354986191<br>MyISAM engine insert 50000 record used time: 33.866044998169
100000 Record
Heap engine insert 100000 record used time: 36.200875997543<br>MyISAM engine insert 100000 record used time: 68.34194111824
200000 Record
Heap engine insert 200000 record used time: 68.00207901001<br>MyISAM engine insert 200000 record used time: 125.26263713837 |
查询数据
表里分表有:200000条记录,两个表数据一致
直接select,10000次,每次取100条记录
Heap engine select 10000 times, 100 record used time: 12.122506141663<br>MyISAM engine select 10000 times, 100 record used time: 19.512896060944 |
直接select,1000次,每次取10000条记录
Heap engine select 1000 times, 10000 record used time: 111.54126811028<br>MyISAM engine select 1000 record used time: 116.79438710213 |
增加where条件,1000次,每次取10000条记录
Heap engine select 1000 times, 10000 record used time: 111.52102303505<br>MyISAM engine select 1000 times, 10000 record used time: 117.68481087685
where条件,10000次,每次从1000条起,取1000条记录
Heap engine select 10000 times, 1000 record used time: 124.28988695145<br>MyISAM engine select 10000 times, 1000 record used time: 139.82107305527
where条件增加like,10000次,每次从1000条起,取1000条记录
Heap engine select 10000 times, 1000 record used time: 145.43780493736<br>MyISAM engine select 10000 times, 1000 record used time: 163.56296992302 |
where条件增加索引,10000次,每次从1000条起,取1000条记录
<p>-- 建立索引 (在SQLyob下执行)<br>ALTER TABLE tbl_heap ADD INDEX idx_name (name);<br>ALTER TABLE tbl_isam ADD INDEX idx_name (name);</p><p>Heap engine alter table add index used time: 2.078<br>MyISAM engine alter table add index used time: 13.516</p><p>Heap engine select 10000 times, 1000 record used time: 153.48922395706<br>MyISAM engine select 10000 times, 1000 record used time: 239.86818814278</p> |
PS:不合适的索引还不如不要。

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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