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Aiming at the status quo that it is easy to have efficiency bottle neck when dealing with the problem of a large scale in traditional plan chart, combined with the massiveness of data set in cloud computing environment, the paper makes some improvements to the chart plan technology. Data information in the cloud computing environment is dynamically extracted and used. Heuristic function is used to do the optimization sorting to different data information expansion branches. Data information expansion branches of little execution hope and even some unreasonable branches are exterminated to improve the execution efficiency of the system. It is proved by experiment that the algorithm put forward in this paper is feasible and highly efficient.