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连接远程数据库(应用、数据库分离)
如果你是个数据库老鸟,请无视。。。
如果你也是个数据库初学者,请继续。。。
最近在做项目,遇到个问题,就是把数据库跟应用从物理上分离开来。。。
于是,网上找资料,就做个总结吧,
东拼西凑的。
情景,局域网,都是xp系统:
PC名 ip地址 环境配置
PC1 192.168.0.2 应用
PC2 192.168.0.3 数据库
1.PC2上 安装mysql,基础配置。。。请自行百度;用户名root,密码root...
2.PC1上 安装myeclipse等ide,基础配置。。。请自行百度;
3.PC2上,运行mysql.exe,运行命令
GRANT ALL PRIVILEGES ON *.* TO ‘root’@'192.168.0.3′ IDENTIFIED BY ‘root’ WITH GRANT OPTION;
意思是 :允许用户root从ip为192.168.0.3的主机连接到mysql服务器(如果把命令行的ip改为 %,则表示可以从任意地方连接到mysql服务器),并使用root作为密码,记得 FLUSH PRIVILEGES; ;
4.配置PC1的dbcp.properties,我的配置如下:
driverClassName=com.mysql.jdbc.Driver
url=jdbc/:mysql/://192.168.0.3/:3306/myfirstremotedb?characterEncoding/=UTF- 8&zeroDateTimeBehavior/=convertToNull
username=root
password=root
initialSize=5
maxActive=10
maxIdle=10
minIdle=0
maxWait=60000
connectionProperties=
defaultAutoCommit=true
(蓝色字体为数据库名字,黄色背景的字是在同一行里面的)。。。
5.coding。。。运行!就成功啦!
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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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