{"title":"地质物探属性降维统计方法在油气远景勘探中的有效性","authors":"Maxim Krasnyuk, Svitlana Krasniuk","doi":"10.36074/05.06.2020.v3.29","DOIUrl":null,"url":null,"abstract":"in dapper that is, you need to implement an interface to describe how to process the script (a specific SqlGeometry example is processed by an additional library dapper). As a result, Dapper is an excellent tool that is suitable for highly loaded and visited enterprise projects such as stackexchange. In other cases, the Entity Framework does the job of the main ORM. But it requires the right settings and the right approach to use and optimization. If there are sufficiently high-loaded systems or queries in them, you can use Dapper to optimize these queries (or use the SqlQuery command in EF and write pure sql) since Dapper works many times faster than other ORMs.","PeriodicalId":410813,"journal":{"name":"TENDENZE ATTUALI DELLA MODERNA RICERCA SCIENTIFICA - BAND 3","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"EFFICIENCY OF STATISTICAL METHODS OF REDUCING THE DIMENSION OF GEOLOGICAL AND GEOPHYSICAL ATTRIBUTES FOR EXPLORATION OF PROSPECTIVE HYDROCARBON DEPOSITS\",\"authors\":\"Maxim Krasnyuk, Svitlana Krasniuk\",\"doi\":\"10.36074/05.06.2020.v3.29\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"in dapper that is, you need to implement an interface to describe how to process the script (a specific SqlGeometry example is processed by an additional library dapper). As a result, Dapper is an excellent tool that is suitable for highly loaded and visited enterprise projects such as stackexchange. In other cases, the Entity Framework does the job of the main ORM. But it requires the right settings and the right approach to use and optimization. If there are sufficiently high-loaded systems or queries in them, you can use Dapper to optimize these queries (or use the SqlQuery command in EF and write pure sql) since Dapper works many times faster than other ORMs.\",\"PeriodicalId\":410813,\"journal\":{\"name\":\"TENDENZE ATTUALI DELLA MODERNA RICERCA SCIENTIFICA - BAND 3\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"TENDENZE ATTUALI DELLA MODERNA RICERCA SCIENTIFICA - BAND 3\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36074/05.06.2020.v3.29\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"TENDENZE ATTUALI DELLA MODERNA RICERCA SCIENTIFICA - BAND 3","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36074/05.06.2020.v3.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
EFFICIENCY OF STATISTICAL METHODS OF REDUCING THE DIMENSION OF GEOLOGICAL AND GEOPHYSICAL ATTRIBUTES FOR EXPLORATION OF PROSPECTIVE HYDROCARBON DEPOSITS
in dapper that is, you need to implement an interface to describe how to process the script (a specific SqlGeometry example is processed by an additional library dapper). As a result, Dapper is an excellent tool that is suitable for highly loaded and visited enterprise projects such as stackexchange. In other cases, the Entity Framework does the job of the main ORM. But it requires the right settings and the right approach to use and optimization. If there are sufficiently high-loaded systems or queries in them, you can use Dapper to optimize these queries (or use the SqlQuery command in EF and write pure sql) since Dapper works many times faster than other ORMs.