{"title":"Transforming RDB with BLOB fields to MongoDB","authors":"Ahmed Ibrahim, M. Youssef, E. Fakharany","doi":"10.1109/IACS.2017.7921988","DOIUrl":null,"url":null,"abstract":"Recently the No-SQL databases has been popularly used in the mobile and web applications. There are several types of No-SQL databases such as columnar, key-value, graph databases and finally the document store database which is efficient and has more dynamic queries than the normal RDBMS. This paper proposes an automatic method to map the data from the relational database to document store database (MONGODB). This is true for both structured and unstructured data such as word document files. The proposed method also has the capability of extracting the keywords from Blobs “Binary Large Object” Stored in relational databases to be mapped inside the MONGODB. The results show a complexity of order n where n is the number of records processed when it comes to the performance in creating the output from mapping the relational database to document store database for both types of data.","PeriodicalId":180504,"journal":{"name":"2017 8th International Conference on Information and Communication Systems (ICICS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 8th International Conference on Information and Communication Systems (ICICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IACS.2017.7921988","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Recently the No-SQL databases has been popularly used in the mobile and web applications. There are several types of No-SQL databases such as columnar, key-value, graph databases and finally the document store database which is efficient and has more dynamic queries than the normal RDBMS. This paper proposes an automatic method to map the data from the relational database to document store database (MONGODB). This is true for both structured and unstructured data such as word document files. The proposed method also has the capability of extracting the keywords from Blobs “Binary Large Object” Stored in relational databases to be mapped inside the MONGODB. The results show a complexity of order n where n is the number of records processed when it comes to the performance in creating the output from mapping the relational database to document store database for both types of data.
近年来,No-SQL数据库在移动和web应用中得到了广泛的应用。有几种类型的No-SQL数据库,如列式数据库、键值数据库、图形数据库和文档存储数据库,它比普通的RDBMS效率高,具有更多的动态查询。本文提出了一种将关系数据库中的数据自动映射到文档存储数据库(MONGODB)的方法。对于结构化和非结构化数据(如word文档文件)都是如此。该方法还具有从存储在关系数据库中的Blobs“Binary Large Object”中提取关键字并映射到MONGODB中的能力。结果显示复杂度为n阶,其中n是在为两种类型的数据创建从关系数据库映射到文档存储数据库的输出时处理的记录数量。