{"title":"解决了在数据库管理系统中存储分子动力学轨迹的问题","authors":"I. V. Likhachev","doi":"10.15514/ispras-2022-34(1)-12","DOIUrl":null,"url":null,"abstract":"The paper solves the problem of storing molecular dynamics trajectories in relational and non-relational databases. The traditional approach to organizing the structure of relational tables is not suitable for storing trajectories due to the appearance of a large number of records in one table. It is described how best to place data in the NoSQL class DBMS. These ideas are then transferred to the MySQL relational DBMS.","PeriodicalId":33459,"journal":{"name":"Trudy Instituta sistemnogo programmirovaniia RAN","volume":"25 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Solving the problem of storing trajectories of molecular dynamics in a DBMS\",\"authors\":\"I. V. Likhachev\",\"doi\":\"10.15514/ispras-2022-34(1)-12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper solves the problem of storing molecular dynamics trajectories in relational and non-relational databases. The traditional approach to organizing the structure of relational tables is not suitable for storing trajectories due to the appearance of a large number of records in one table. It is described how best to place data in the NoSQL class DBMS. These ideas are then transferred to the MySQL relational DBMS.\",\"PeriodicalId\":33459,\"journal\":{\"name\":\"Trudy Instituta sistemnogo programmirovaniia RAN\",\"volume\":\"25 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trudy Instituta sistemnogo programmirovaniia RAN\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15514/ispras-2022-34(1)-12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trudy Instituta sistemnogo programmirovaniia RAN","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15514/ispras-2022-34(1)-12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Solving the problem of storing trajectories of molecular dynamics in a DBMS
The paper solves the problem of storing molecular dynamics trajectories in relational and non-relational databases. The traditional approach to organizing the structure of relational tables is not suitable for storing trajectories due to the appearance of a large number of records in one table. It is described how best to place data in the NoSQL class DBMS. These ideas are then transferred to the MySQL relational DBMS.
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