MySQL性能调优之Memory or SSD?
SLC因为速度快,使用寿命长,一般被用在企业级SSD上。而MLC则多用在消费级市场,如workstation。Fusion-io开发出一种管理MLC闪存
当一个传统的向外扩展的方式对于MySQL来讲变得流行,看看我们不得不扩充哪一方面(便宜的内存?快速存储?更好的电源效率?)将会变得非常有趣。这里确实有很多种选择——我每周大概会遇到一个客户使用Fushion-IO 卡。然而,我却看到了他们一个有趣的选择——他们选择购买一个SSD,当他们每秒仍然能读取很多页的时候(这时,我宁愿选择购买内存来取代),而使用存储驱动器做“写操作”使用。
在这里,我提出几个参考标准来供你确认是否是以上我说的这种情况:
1. 带有BBU的RAID 10硬盘超过8块(所谓BBU,社区的解释是在掉电的情况下,能够cache数据72h,当机器供电正常,再从cache中将数据写入磁盘)
2. Inter SSD X25-E 32GB
3. FushionIO 320GB MLC【1】
Dell PowerEdgeR900
4 QuadCoreIntel(R) Xeon(R) CPU E7320 @ 2.13GHz (16 cores in total)
32GB of RAM
RAID10 on 8disks 2.5” 15K RPMS
FusionIO 160GBSLC
FusionIO 320GBMLC
OS:
CentOS 5.5
XFS filesystem
开始,我们对RAID 10的存储做一个测试以建立一个基线。Y轴是每秒传输的数据(传输速率,它越大越好)。X轴是innodb_buffer_pool_size的大小。
我特地挑选了关于该测试中的三个有趣的点

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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

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











The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

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

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 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.

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 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

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.
