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 <erkan.yanar@linsenraum.de> 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 http://mirror2.hs-esslingen.de/mariadb/repo/10.0/ubuntu 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/

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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