Study on Applying Hadoop to Enhance the Retrieval Performance of Database Audit Systems
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    Abstract:

    Based on the present situation of lower retrieval performance of the single node database audit system,this paper carries out research of application of the Hadoop pseudo distribution model and the HBase column storage model to reconstruct the database audit system of the single node deployment for enhancing the retrieval performance.This paper focuses on the study of integrating HDFS storage mechanism,MapReduce computing framework and HBase data model to improve the performance of real-time retrieval and comprehensive analysis of database audit system.Reconstruction scheme can effectively improve the retrieval performance,but in view of the high reliability and large volume of the data,the application of Hadoop and HBase distributed cluster is proposed in combination with the production status.

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方建生,王福民.应用Hadoop提升数据库审计系统检索性能的研究.计算机系统应用,2016,25(12):30-34

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  • Received:March 30,2016
  • Revised:June 06,2016
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  • Online: December 14,2016
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