服务器运作了三十天,部分请求变慢了求解决
服务器运行了三十天,部分请求变慢了求解决
部署在阿里云上的服务器,双核,内存4G。centos6.4,apache,php5.3,mysql,Yii框架。PV一天三万多,负载并不高。
运行了三十天,这两天变得不太稳定,有时候出现请求时间长,大约1-10秒内。
通过MYSQL的profile记录了一下查询超过0.03秒的SQL语句,发现有时候update,closing tables,end,query end其中一两个耗时比较长,从0.几秒到几秒不等。而这些语句都是比较简单的update , insert , select语句。
还有一些请求是运行时间长,又没有SQL慢查询记录的。
同一样的请求,有时候就慢,有时候就快。。top命令监测下,CPU基本在10%多,内存30%,CPU wa一般都在30%以下,偶尔会到四十多。
求各位大神帮看看是什么原因。。
------解决方案--------------------
感觉是数据库设计问题,索引设计的问题。但是说mysql没有慢查询,就不清楚了。
------解决方案--------------------
查看一下各项日志,如:apache日志,mysql日志,看是否有异常现象。
------解决方案--------------------
阿里云的IO瓶颈问题不是一天两天了...
------解决方案--------------------
怎么说呢,觉得,国内的云服务器目前不是很靠谱,之前有用几台云服务器,时不时就不稳定,但是没遇过IO问题,主要是连不上,或者机器卡死。
------解决方案--------------------
数据量大了,自然查询速度就慢了。。。
你说的有时慢有时快,这跟并发量有关,也跟网络当前状况有关,还跟db当前的负载有关。
数据库的锁有时也会影响写的速度。尤其是你在运用了大量MYISAM表时,表级锁对于同时有读写操作的表来说是致命的。所以尽量都用innodb,除非你100%确定某个表对于用户来说永远没有写操作。

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











MySQL and phpMyAdmin are powerful database management tools. 1) MySQL is used to create databases and tables, and to execute DML and SQL queries. 2) phpMyAdmin provides an intuitive interface for database management, table structure management, data operations and user permission management.

In MySQL, the function of foreign keys is to establish the relationship between tables and ensure the consistency and integrity of the data. Foreign keys maintain the effectiveness of data through reference integrity checks and cascading operations. Pay attention to performance optimization and avoid common errors when using them.

RedHatendedsupportforCentOStoshifttowardsacommerciallyfocusedmodelwithCentOSStream.1)CentOStransitionedtoCentOSStreamforRHELdevelopment.2)ThisencourageduserstomovetoRHEL.3)AlternativeslikeAlmaLinux,RockyLinux,andOracleLinuxemergedasreplacements.

The main difference between MySQL and MariaDB is performance, functionality and license: 1. MySQL is developed by Oracle, and MariaDB is its fork. 2. MariaDB may perform better in high load environments. 3.MariaDB provides more storage engines and functions. 4.MySQL adopts a dual license, and MariaDB is completely open source. The existing infrastructure, performance requirements, functional requirements and license costs should be taken into account when choosing.

SQL is a standard language for managing relational databases, while MySQL is a database management system that uses SQL. SQL defines ways to interact with a database, including CRUD operations, while MySQL implements the SQL standard and provides additional features such as stored procedures and triggers.

NGINX and Apache each have their own advantages and disadvantages, and the choice should be based on specific needs. 1.NGINX is suitable for high concurrency scenarios because of its asynchronous non-blocking architecture. 2. Apache is suitable for low-concurrency scenarios that require complex configurations, because of its modular design.

MySQL and phpMyAdmin can be effectively managed through the following steps: 1. Create and delete database: Just click in phpMyAdmin to complete. 2. Manage tables: You can create tables, modify structures, and add indexes. 3. Data operation: Supports inserting, updating, deleting data and executing SQL queries. 4. Import and export data: Supports SQL, CSV, XML and other formats. 5. Optimization and monitoring: Use the OPTIMIZETABLE command to optimize tables and use query analyzers and monitoring tools to solve performance problems.

Apache remains important in today's technology ecosystem. 1) In the fields of web services and big data processing, ApacheHTTPServer, Kafka and Hadoop are still the first choice. 2) In the future, we need to pay attention to cloud nativeization, performance optimization and ecosystem simplification to maintain competitiveness.
