Research On Active Data Dumping Technology Based On SQL Server

With the rapid development of Web technology,the Web-based applications are also used in various industry sectors.Web-based application system often needs to deal with a large number of data manipulation requests,resulting in a large number of historical data accumulated in the software system.In the past,in order to improve the efficiency and speed of the system,the historical data will be deleted directly.However,in the era of big data,historical data is very valuable to analyze the decision-making resources.Based on the problems,the active data dump technology of this research has arisen.The existing main data dump tools and SQL Server database backup strategies are based on the full analysis.First of all,this paper proposes the use of graph search and fuzzy matching method to build the database table on the basis of the business tables.The table pattern relationship lays the foundation for the subsequent acquisition of a complete dump target entity.Secondly,this paper presents the solution of the combination of Chinese natural language analysis and data dump,and analyzes the user's requirement of dumping according to the needs of the business.Combined with the table relation model,the dump object entity and the dump condition are obtained,and the data dump process is more flexible and efficient.Finally,this paper improves and perfects the original data dump technology.The application of SQL Server automatic agent and Windows system service technology complete data dump from two aspects of time and space initiative.In this paper,through the above three levels of technology research and design,the final part of the realization of the integration of the various forms of active data dump program.Compared with the traditional data dump mode and the practical application,it is shown that the scheme designed in this paper meets the actual requirements,and solves the problem of the current data dump.