Build a high-performance C # Memory Database package

Source: Internet
Author: User

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[Thesis Title] Design and Implementation of Memory Database

The Database Management System Based on the disk structure meets the needs of traditional business and management applications. With the development of mobile communication technology and the diversity of people's needs, mobile communication needs to provide more types of data services, especially in the 3G era. The telecommunications industry has become a data-intensive industry, A high-performance database system is required as the underlying support. The disk database system cannot meet the real-time and near-real-time data access requirements. As computer software and hardware technology advances, it is possible to design a High-Performance Memory Database Management System by storing the core data of the database in the memory. This article first studies the relevant theories of the memory database management system, including the definition of the memory database, differences with the disk database management system, data structure, indexing, transaction processing, query optimization, database recovery, and other technologies. Secondly, based on the object-oriented idea and relational model, an embedded memory database management system running on VxWorks is designed and implemented, and the system design ideas and methods are introduced, focuses on the design of tables in the memory database management system; system index design, including sequential index, hash index, B-tree index, and t-tree index to be implemented; the queue design used for system resource management.

 

[Douding] Design of a distributed real-time Memory Database

[Douding] Design and Implementation of Real-time memory databases

[Douding] Design and Implementation of distributed memory database transaction management

[Blog] exploration of Memory Database kernel development)

 

Open-source memory database:

1. sharphsql

2. effiproz

3. SQLite, CSHARP-SQLite

4. db4o

5. deveeldb

6. fastdb

 

Sharphsql documents:

Http://www.cnblogs.com/tommyli/archive/2009/11/19/1605930.html

Http://archive.cnblogs.com/a/1586049/

Http://www.cnblogs.com/zc22/archive/2010/02/14/1668294.html

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