最后研究了一下PostgreSQL,跟MySQL的比较,小量数据查询MySQL有明显的优势,大量数据速度差不多,稳定性方面PostgreSQL更胜一筹
研究了一下几个免费的数据库软件,目的当然是想减少license的费用了,以下是一些个人拙见,仅供参考。
第一个研究的是大名鼎鼎的DB2,这是在我心中一直很神秘一直没有接触过的一款数据库软件,传说中在银行业市场占有率非常高。于是兴致勃勃的下了一款下来DB2 Express-C,看了一下ibm的白皮书,最新款10.0最大的特点就是1颗cpu2g内存完全免费,而且内核跟企业版一模一样。看上去很诱人的样子,于是花了三天时间安装,体验,基本我想要看到的都还不错,IDE友好度,查询速度,和日常管理工具都还不错,,差点就让我下了perfect的结论。可惜的是,对于企业应用上,有一个致命伤,就是跟其他数据库交互方面非常不友好,貌似有好几个工具可以用,但是都特么的要钱买license,哎,买imb的license跟买ms的有啥区别呢?三天之后果断放弃。
第二个研究的是MySQL,这款db可能是开源界内最闪耀的明星了,几年前就小试牛刀了一次,不过木有深入一点研究,这次补上。MySQL的安装方面的资料网上一箩筐,随便找了篇经验介绍,我又上路了。初步测试下来,都还不错,正巧,一个朋友跟我聊到了PostgreSQL,谈到现在这两款开源db的区别,朋友告诉我在稳定性方面MySQL比PostgreSQL差一点,经过我大量提交transaction测试,MySQL完败,汗颜!(具体的测试报告就不方便放上来了)
最后研究了一下PostgreSQL,跟MySQL的比较,小量数据查询MySQL有明显的优势,大量数据速度差不多,稳定性方面PostgreSQL更胜一筹,最吸引我眼球的一个特点就是PostgreSQL的日常语法跟Oracle有90%相同,跟MSSQL也有80%相同,可以说能够以最小的代价移植oracle和mssql的应用。
结论:
1)如果要开发的新应用需要跟其他应用(Oracle or MSSQL)交互,不要选择DB2 Express-C。
2)如果transaction数量比较大,不要选择MySQL。
3)如果在稳定性方面要求比较高,不要选择MySQL。
4)如果是Oracle的应用移植,强烈建议选择PostgreSQL。

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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