提及虚拟化技术,我可是linuxContainer(LXC)的热爱者。但随着Docker技术的声名鹊起,我想在这展示一下如何使用带有Docker的MyS
提及虚拟化技术,我可是linuxContainer(LXC)的热爱者。但随着Docker技术的声名鹊起,我想在这展示一下如何使用带有Docker的MySQL。
Docker是什么?
实际上,Docker就是LXC的封装。使用起来很有意思。Docker采用LXC来虚拟化每个应用。所以在接下来的示例中,我们会启动chroot环境中一个被封装在自己命名空间内的mysql实例(你也可以设置Cgroups对应的资源)使用Docker的一个亮点就是统一文件系统(aufs)。所以当启动一个Docker容器后,它会记录其aufs总数并只会更新新写入的数据。
Aufs对于大多数应用来说十分有用,并且也能很好地支持数据库测试。在这我只想做个简单的示例-仅仅抛砖引玉,实用性也许并不高- Dockerfile. Dockerfile是Docker镜像的构建脚本
咱们来看看Dockerfile的内容:
FROM Ubuntu
MAINTAINER erkan yanar
ENV DEBIAN_FRONTEND noninteractive
RUN apt-get install -y python-software-properties
RUN apt-key adv --recv-keys --keyserver hkp://keyserver.ubuntu.com:80 0xcbcb082a1bb943db
RUN add-apt-repository 'deb precise main'
RUN apt-get update
RUN apt-get install -y mariadb-server
RUN echo "[mysqld]" >/etc/mysql/conf.d/docker.cnf
RUN echo "bind-address = 0.0.0.0" >>/etc/mysql/conf.d/docker.cnf
RUN echo "innodb_flush_method = O_DSYNC" >>/etc/mysql/conf.d/docker.cnf
RUN echo "skip-name-resolve" >>/etc/mysql/conf.d/docker.cnf
RUN echo "init_file = /etc/mysql/init" >>/etc/mysql/conf.d/docker.cnf
RUN echo "GRANT ALL ON *.* TO supa@'%' IDENTIFIED BY 'supa';" >/etc/mysql/init
EXPOSE 3306
USER mysql
ENTRYPOINT mysqld
你可以按自己的需求更改。明白了大意后,,可以进一步优化代码。比如,较少运行步骤:)
运行一下看看 (命名为mysql)
> cat $DOCKERFILENAME | docker build -t mysql -
很好!启动51个容器看看:
> time for i in $(seq 10 60 ) ; do docker run -d -p 50$i:3306 mysql ; done
..
real 0m27.446s
user 0m0.264s
sys 0m0.211s
这都是在我笔记本上的结果. 如果使用KVM性能会更好 :)
> docker ps | grep mysqld |wc -l
51
> docker ps | head -2
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
6d3a5181cd56 mysql:latest /bin/sh -c mysqld About a minute ago Up About a minute 0.0.0.0:5060->3306/tcp lonely_pare
快来试试吧 \o/
Docker 的详细介绍:请点这里
Docker 的下载地址:请点这里
开源项目Docker,Red Hat新的虚拟化选择
dockerlite: 轻量级 Linux 虚拟化
Docker的搭建Gitlab CI 全过程详解
Docker 和一个正常的虚拟机有何区别?
Docker 将改变所有事情

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 MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.

SQL commands in MySQL can be divided into categories such as DDL, DML, DQL, DCL, etc., and are used to create, modify, delete databases and tables, insert, update, delete data, and perform complex query operations. 1. Basic usage includes CREATETABLE creation table, INSERTINTO insert data, and SELECT query data. 2. Advanced usage involves JOIN for table joins, subqueries and GROUPBY for data aggregation. 3. Common errors such as syntax errors, data type mismatch and permission problems can be debugged through syntax checking, data type conversion and permission management. 4. Performance optimization suggestions include using indexes, avoiding full table scanning, optimizing JOIN operations and using transactions to ensure data consistency.

InnoDB achieves atomicity through undolog, consistency and isolation through locking mechanism and MVCC, and persistence through redolog. 1) Atomicity: Use undolog to record the original data to ensure that the transaction can be rolled back. 2) Consistency: Ensure the data consistency through row-level locking and MVCC. 3) Isolation: Supports multiple isolation levels, and REPEATABLEREAD is used by default. 4) Persistence: Use redolog to record modifications to ensure that data is saved for a long time.

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

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.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.


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

Atom editor mac version download
The most popular open source editor

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

Dreamweaver CS6
Visual web development tools