Multiple query optimization approach based on hive

摘要

To improve the processing efficiency on batch query for MapReduce, a multiple query optimization approach based on Hive+ is proposed to reduce the number of MapReduce tasks on multiple query, decrease the start time of MapReduce task and the overhead of fault tolerance, improve the query efficiency. TPC-H benchmark test set is selected as the use cases to experiment on Hive-0.12. The experiment shows that the processing efficiency of batch query is effectively improved.