程序设计 设计需求 数据同步是分布式系统常常需要考虑的问题,即把分散的数据收集在一起,进行汇总统计。例如,耐克在全球均有分店,假如总店需要掌握分店的销售信息,就需要把分店的销售数据同步到总店。 目前主流数据库主要有两个:SQL Server和Oracle。对
程序设计 设计需求
数据同步是分布式系统常常需要考虑的问题,即把分散的数据收集在一起,进行汇总统计。例如,耐克在全球均有分店,假如总店需要掌握分店的销售信息,就需要把分店的销售数据同步到总店。
目前主流数据库主要有两个:SQL Server和Oracle。对于Oracle数据库,有着比较成熟的同步技术,但SQL数据库则没有太好的解决方案,虽然已经有公司研发了同步程序,但是价格过于昂贵。
同时,数据库同步技术是一种常用技术,因此有必要开发出一套独立的数据库同步系统,避免重复劳动。
综上需求,特提出“SQL Server数据库同步系统”开发。
运行环境程序采用.NET 4.0开发,因此只能运行于Windows操作系统,同时需要.NET Framwork 4.0的支持。
程序中使用了SQLite本地数据库系统,香港服务器,但已经自行支持,无需安装其他组件。
程序针对SQL Server数据库开发,因此只支持SQL Server数据库,目前已知支持SQL Server 2003、SQL Server 2005、SQL Server 2008。
技术内幕回复超100公布 哈哈~~~
程序使用说明 系统部署示意图
本系统分为客户端和服务器两个部分,其中客户端承担了系统绝大数事务,服务器只是简单的执行客户端传送的命令,属于典型的C/S胖客户端瘦服务器模式。这样设计的目的是为了减轻服务器的压力,让系统更加流畅。
客户端负责采集分布数据库中的数据,然后汇总到服务器。客户端需要配置的数据库连接字符串是指分布数据库的连接字符串,连接成功后才可以向主数据库同步数据。例如,有A、B、C三个分布数据库,需要把数据汇总到D数据库,那么需要三个客户端,分别连接A、B、C数据库,客户端运行在哪无所谓,只要能连接数据库即可。
主页说明
主页显示一些公共信息。
程序启动日期有助于您分析日志同步状况;
扫描引擎、同步引擎是本系统两大核心引擎,扫描引擎负责获取分布数据库的数据变动,同步引擎负责向服务器发送需要同步的数据。如果数据库连接字符串未设置,引擎不会开启,否则,引擎自动开启,无需人工干预。
数据库占用空间是指程序本地的SQLite数据库占用空间,由于长期使用会有大量日志信息,占用过大空间会使程序效率降低,可以及时清理。清理界面如下:
选择好要清除的日志类型,然后选择日期,提交后会清除该日期之前的所有记录。
活动日志说明
该页面可以查询程序的活动状况,以日期查询可以显示某个日期的记录。
程序活动日志是扫描记录,详细记录了扫描信息。

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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