Real-time Database Data Transfer And Conversion Method Realization

The main function of a traditional relational database is to manage permanent and steady data. It focuses on the integrality and consistency and scarcely considers the time restriction of data management. Real time database differs greatly from the traditional database. It combines real time system with database on the concept, technology, method and mechanism. It is a kind of database in which data and transaction are time limited. The correctness of system depends on not only the logical result of the transaction but also the time when the logical results are produced. Real time database can provide the rapid and timely data services, integrate the heterogeneous control system effectively, and offer the distributed data services. Together with the relational database, the real time database constitutes the data platform and plays an important role in the integration of information.After systematically analyzing the characteristics of the architecture, the time characteristic, transaction management, scheduler politics and concurrent access control, etc., the paper puts forward the design scheme and implement methods of the system.The real time database technology of data transfer and conversion is not only used to produce the data warehouse but also search the data in different structure data sources, transfer the data and restore the data in another data source in order to extract, analyze and gather the data. In that way, it supports data storage and rapid real time search strongly. According to the collaboration project(The integrative business system of Practice Qualification Registration Center of BUREAU OF CONSTRUCTION), the author discusses the design method of data transferability and transformation and applies the technology of data transferability and transformation and realization method of the real time mechanism in view of real time access. As a result, the consistence and the integralityof the shared data are ensured by the time restriction.The most typical problem of the real time database is solving the data management in real time database, providing the algorithm of time schedule and resource allocation and giving the various methods of managing real time data. The clustering analysis method can collect, select, filtrate, store the large account of data continually and response to different data service in time .It has an effective way to integrate the relational database with real time database and transform the relational database to real time database. It provides a tremendous capability of data processing for the real time database system.According to applying background of real time database system and the problem of higher complexity in the clustering algorithm of user accessing schedule, the paper puts forward a new clustering algorithm. Firstly, we synthesize the statistic of the times and time of users' visiting page which mapped to visiting time attribute value. Then, the dimension is descended by extracting the feature elements from a original user session. Finally, we give a similarity method of session and get a fuzzy similarity matrix which can cluster session. This algorithm is proved to have better accuracy, fewer CPU time and better scalability than others by the experiments. It can be widely used in the fields of Electronic Commerce.This project has applied the technology of Web Service based on XML. This technology improves the interactivity of the application based on Web and provides a new method of the collection, update and release of real time information, which implements the integration of information greatly.