{"title":"非关系型数据库中的搜索算法","authors":"Roman Ceresnák, Michal Kvet, K. Matiaško","doi":"10.33847/2686-8296.4.2_2","DOIUrl":null,"url":null,"abstract":"The problem of the data growth and it is storing to the nonrelational data-bases is related to their decreasing efficiency of searching. Nowadays, a very popular database in memory will help us with decreasing the efficiency of the operation searching in this paper. This paper examines the data search-ing in applications hosted in cloud service Amazon with using of nonrela-tional database DynamoDB. It develops new procedures to provide faster response to user and to obtain the data using of nonrelational database Dy-namoDB, that will provide the demanded data and subsequently, it will transfer them to the memory. The given procedure is based on two methods. The first method is a recognition of values, to which the user refers and the provision of this data to the database in memory. The second method is re-lated to the automatic storing of the data transferred to the database in memory. We perform various experiments in the paper, which are showing us a border of efficiency respectively inefficiency from a time perspective.","PeriodicalId":235278,"journal":{"name":"Journal of Digital Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Searching Algorithm in a nonrelational database\",\"authors\":\"Roman Ceresnák, Michal Kvet, K. Matiaško\",\"doi\":\"10.33847/2686-8296.4.2_2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of the data growth and it is storing to the nonrelational data-bases is related to their decreasing efficiency of searching. Nowadays, a very popular database in memory will help us with decreasing the efficiency of the operation searching in this paper. This paper examines the data search-ing in applications hosted in cloud service Amazon with using of nonrela-tional database DynamoDB. It develops new procedures to provide faster response to user and to obtain the data using of nonrelational database Dy-namoDB, that will provide the demanded data and subsequently, it will transfer them to the memory. The given procedure is based on two methods. The first method is a recognition of values, to which the user refers and the provision of this data to the database in memory. The second method is re-lated to the automatic storing of the data transferred to the database in memory. We perform various experiments in the paper, which are showing us a border of efficiency respectively inefficiency from a time perspective.\",\"PeriodicalId\":235278,\"journal\":{\"name\":\"Journal of Digital Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Digital Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33847/2686-8296.4.2_2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Digital Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33847/2686-8296.4.2_2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The problem of the data growth and it is storing to the nonrelational data-bases is related to their decreasing efficiency of searching. Nowadays, a very popular database in memory will help us with decreasing the efficiency of the operation searching in this paper. This paper examines the data search-ing in applications hosted in cloud service Amazon with using of nonrela-tional database DynamoDB. It develops new procedures to provide faster response to user and to obtain the data using of nonrelational database Dy-namoDB, that will provide the demanded data and subsequently, it will transfer them to the memory. The given procedure is based on two methods. The first method is a recognition of values, to which the user refers and the provision of this data to the database in memory. The second method is re-lated to the automatic storing of the data transferred to the database in memory. We perform various experiments in the paper, which are showing us a border of efficiency respectively inefficiency from a time perspective.