Abstract: In view of the performance bottleneck in the treatment of massive data of the relational database which is adapted by the traditional electronic government platform, using the advantage of Hadoop distributed platform in mass data processing and combining HDFS distributed file system, Map/Reduce parallel computational mdoel and Hive data warehouse technology, this paper designs an electronic government cloud platform that combines relational database with Hadoop. Both of them collaboratively provide mass data query operation and storage service, so as reduce load pressure of the relational database server and enhance the extensibility of electronic government platform. Through the experiment, it proves that the scheme can greatly enhance the query efficiency of electronic government platform. This paper further analyzes the influence factors of query efficiency of this scheme to provide the reference for further study of building efficient electronic government cloud based on Hadoop.
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Key words: electronic government, massive data, cloud computing, Hadoop, relational database, query efficiency