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Query applications based on nested data, the most commonly used form of data representation on the web, especially precise query, is becoming more extensively used. MapReduce, a distributed architecture with parallel computing power, provides a good solution for big data processing. However, in practical application, query requests are usually concurrent, which causes bottlenecks in server processing. To solve this problem, this paper first combines a column storage structure and an inverteddoi:10.3745/jips.04.0205 dblp:journals/jips/WangW21 fatcat:jebkod7zjnfuvmx4uyw2td6cou