{"title":"内存数据库中t -哈希树的设计与实现","authors":"Zhiqiang Hu, Meiqi Hu","doi":"10.1109/ICIVC.2018.8492865","DOIUrl":null,"url":null,"abstract":"There are some shortcomings for the cache sensitivity of the index in main memory database, so a new index structure is proposed. T -tree index is studied individually ever before, so as Hash index. Combined with the analysis of the two index structure, a new index structure called the T-Hash tree is introduced. Through analyzing the times of the T -Hash tree cache sensitive and testing the performance of the query, insert, delete operation, the results show that the T -Hash tree can effectively reduce the times of cache sensitive, and as the amount of the data is large, the query, insert, delete efficiency of the T -Hash tree is higher than the T tree.","PeriodicalId":173981,"journal":{"name":"2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and Implementation of T-Hash Tree in Main Memory Data Base\",\"authors\":\"Zhiqiang Hu, Meiqi Hu\",\"doi\":\"10.1109/ICIVC.2018.8492865\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There are some shortcomings for the cache sensitivity of the index in main memory database, so a new index structure is proposed. T -tree index is studied individually ever before, so as Hash index. Combined with the analysis of the two index structure, a new index structure called the T-Hash tree is introduced. Through analyzing the times of the T -Hash tree cache sensitive and testing the performance of the query, insert, delete operation, the results show that the T -Hash tree can effectively reduce the times of cache sensitive, and as the amount of the data is large, the query, insert, delete efficiency of the T -Hash tree is higher than the T tree.\",\"PeriodicalId\":173981,\"journal\":{\"name\":\"2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIVC.2018.8492865\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIVC.2018.8492865","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and Implementation of T-Hash Tree in Main Memory Data Base
There are some shortcomings for the cache sensitivity of the index in main memory database, so a new index structure is proposed. T -tree index is studied individually ever before, so as Hash index. Combined with the analysis of the two index structure, a new index structure called the T-Hash tree is introduced. Through analyzing the times of the T -Hash tree cache sensitive and testing the performance of the query, insert, delete operation, the results show that the T -Hash tree can effectively reduce the times of cache sensitive, and as the amount of the data is large, the query, insert, delete efficiency of the T -Hash tree is higher than the T tree.