以Oracle DBMS为例,分析使用二进制JSON与本机JSON的对比

IF 0.4 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS IPSI BgD Transactions on Internet Research Pub Date : 2023-07-01 DOI:10.58245/ipsi.tir.2302.10
Srđa Bjeladinović, Milica Škembarević, Olga Jejic, Marko Asanović,
{"title":"以Oracle DBMS为例,分析使用二进制JSON与本机JSON的对比","authors":"Srđa Bjeladinović, Milica Škembarević, Olga Jejic, Marko Asanović,","doi":"10.58245/ipsi.tir.2302.10","DOIUrl":null,"url":null,"abstract":"JSON is a popular and proven standard for specifying self-describing text files with a flexible structure. To maintain its position in the market, Oracle introduced support for JSON data in the 12c R1 version of its DBMS. This version has introduced functions for storing and managing JSON data in native form but also showed some limitations. Each new version introduced new or updated JSON functions. The 21c can store JSON data in binary form, provides more straightforward syntax and even supports JSON as a predefined data type. The paper aims to compare the performance when the underlying storage of JSON is native or binary. A data model and seven use cases were designed to demonstrate earlier and new functionalities. Additionally, experiments showed the impact of JSON data stored in native (19c and 21c) and binary form (21c) on the average execution time and costs of SQL statements.","PeriodicalId":41192,"journal":{"name":"IPSI BgD Transactions on Internet Research","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An analysis of using binary JSON versus native JSON on the example of Oracle DBMS\",\"authors\":\"Srđa Bjeladinović, Milica Škembarević, Olga Jejic, Marko Asanović,\",\"doi\":\"10.58245/ipsi.tir.2302.10\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"JSON is a popular and proven standard for specifying self-describing text files with a flexible structure. To maintain its position in the market, Oracle introduced support for JSON data in the 12c R1 version of its DBMS. This version has introduced functions for storing and managing JSON data in native form but also showed some limitations. Each new version introduced new or updated JSON functions. The 21c can store JSON data in binary form, provides more straightforward syntax and even supports JSON as a predefined data type. The paper aims to compare the performance when the underlying storage of JSON is native or binary. A data model and seven use cases were designed to demonstrate earlier and new functionalities. Additionally, experiments showed the impact of JSON data stored in native (19c and 21c) and binary form (21c) on the average execution time and costs of SQL statements.\",\"PeriodicalId\":41192,\"journal\":{\"name\":\"IPSI BgD Transactions on Internet Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2023-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IPSI BgD Transactions on Internet Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.58245/ipsi.tir.2302.10\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IPSI BgD Transactions on Internet Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.58245/ipsi.tir.2302.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

JSON是一种流行且经过验证的标准,用于指定具有灵活结构的自描述文本文件。为了保持其在市场上的地位,Oracle在其DBMS的12c R1版本中引入了对JSON数据的支持。这个版本引入了以本机形式存储和管理JSON数据的函数,但也有一些限制。每个新版本都引入了新的或更新的JSON函数。21c可以以二进制形式存储JSON数据,提供更直接的语法,甚至支持JSON作为预定义的数据类型。本文旨在比较JSON的底层存储是本机存储还是二进制存储时的性能。设计了一个数据模型和七个用例来演示早期的和新的功能。此外,实验还显示了以原生(19c和21c)和二进制(21c)形式存储的JSON数据对SQL语句的平均执行时间和成本的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
An analysis of using binary JSON versus native JSON on the example of Oracle DBMS
JSON is a popular and proven standard for specifying self-describing text files with a flexible structure. To maintain its position in the market, Oracle introduced support for JSON data in the 12c R1 version of its DBMS. This version has introduced functions for storing and managing JSON data in native form but also showed some limitations. Each new version introduced new or updated JSON functions. The 21c can store JSON data in binary form, provides more straightforward syntax and even supports JSON as a predefined data type. The paper aims to compare the performance when the underlying storage of JSON is native or binary. A data model and seven use cases were designed to demonstrate earlier and new functionalities. Additionally, experiments showed the impact of JSON data stored in native (19c and 21c) and binary form (21c) on the average execution time and costs of SQL statements.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
IPSI BgD Transactions on Internet Research
IPSI BgD Transactions on Internet Research COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
25.00%
发文量
0
期刊最新文献
LVRF: A Latent Variable Based Approach for Exploring Geographic Datasets An Organizational Perspective of Human Resource Modeling A Decision Support System for Internal Migration Policy-Making "Towards Real-time House Detection in Aerial Imagery Using Faster Region-based Convolutional Neural Network" "Detecting and Removing Clouds Affected Regions from Satellite Images Using Deep Learning"
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1