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In view of the inefficient query efficiency of mass monitoring data in distribution network, a new method for fast querying large data applications with rich network is proposed. Using the MPP query engine, the distribution data is embedded into the network monitoring interface, and the asynchronous query of the cross platform query interface is realized by using Ajax asynchronous interaction. The test results show that the cluster query, MPP combined with asynchronous callback mechanism to interactive server query update to hundreds of MS, cluster CPU use rate of about 11%, a reasonable amount can improve the clustering performance, improve the response ability of mass data, but much less than the expansion to enhance the ability of response to mass data cluster scale. Keywords-rich network applications; MPP query

Fast query of Big Data Based on rich Network Distribution Monitoring Information Flow