CAJ | 학술논문

针对批量提交数据的存储特性，提出了一种对批量提交数据进行索引的快速查询算法。在测点采样周期已知的条件下，采用分组归并算法描述了测点的分类与测点编号、分组主表文件和索引表文件的建立，构建了相应的优化算法，并在此基础上设计了批量提交数据的快速查询算法。进一步对设计的算法进行了改进，使得改进后的算法具有更高的查询效率和存储效率。算例测试表明，本算法能有效解决批量提交数据的快速查询问题，并且改进后的算法在存储效率和查询效率方面比改进前有了明显提高。这一研究有助于为大数据量环境下的数据查询者提供科学的数据处理方法。
침대비량제교수거적존저특성，제출료일충대비량제교수거진행색인적쾌속사순산법。재측점채양주기이지적조건하，채용분조귀병산법묘술료측점적분류여측점편호、분조주표문건화색인표문건적건립，구건료상응적우화산법，병재차기출상설계료비량제교수거적쾌속사순산법。진일보대설계적산법진행료개진，사득개진후적산법구유경고적사순효솔화존저효솔。산례측시표명，본산법능유효해결비량제교수거적쾌속사순문제，병차개진후적산법재존저효솔화사순효솔방면비개진전유료명현제고。저일연구유조우위대수거량배경하적수거사순자제공과학적수거처리방법。
According to the storage properties of the batch data submitted , this article studies how the attribute data can be also fast queried when the batch data submitted can be fast storaged .Under the condition that the sampling period is known for each measured point , the grouping algorithm described the establishment of measuring points , measuring point number classification , data storage and data index .It constructs the the corresponding optimization algorithm , and on this basis to design a heuristic fast storage and query algorithm of the batch data .It furtherly im-proves the algorithm and make the improved algorithm has higher query efficiency and storage efficiency .The exam-ple shows that the algorithm can effectively solve the fast storage and queryproblem of batch submitted data , and make the storage efficiency and the efficiency of query can be obviously improved .This research contributes to sci-entific data processing method for the querier to query large amount of data .