WORKING WITH LARGE OBJECTS IN APPLICATION DEVELOPMENT

Vanya Lazarova
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Abstract

In this paper are considered the specifics of the manipulation of large objects in the database of an application - recording, storage, processing, transmission over the network. Some literature sources dealing with this topic will be reviewed and after that some specifics of working with large objects will be presented. The paper will also address the advantages of using large objects in application development. Some new software products that assist the storage of large objects will also be reviewed. Large Objects (LOBs) are a set of data types in Oracle DBMS, Microsoft SQL Server etc. LOBs are designed to store large amount of data. Large objects are for huge files such as an audio and video files. LOBs can support a maximum file size ranging from 2 GB to 8 GB. Large objects are suitable for storing semi-structured and unstructured data. Storing data in large objects allows data to be accessed and manipulated efficiently within an application. The data in the application s database, with the accumulation of many audio and video files, will at some point begin to meet the rules of big data, and its processing and storage must be carried out by specialized big data environments. The problems of transferring and storing large objects in specialized big data environments will be discussed. Data transfer between different environments will be addressed. The format and content of the data must be preserved, and this leads to the need to comply with several conditions, which will be considered.
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在应用程序开发中处理大型对象
本文将探讨在应用程序数据库中处理大型对象的具体方法--记录、存储、处理和网络传输。本文将对涉及该主题的一些文献资料进行综述,然后介绍使用大型对象工作的一些具体细节。本文还将讨论在应用程序开发中使用大型对象的优势。此外,还将评述一些有助于大型对象存储的新软件产品。大型对象(LOB)是 Oracle DBMS、Microsoft SQL Server 等系统中的一组数据类型。LOB 专为存储大量数据而设计。大型对象适用于音频和视频文件等巨型文件。LOB 支持的最大文件大小从 2 GB 到 8 GB 不等。大型对象适合存储半结构化和非结构化数据。将数据存储在大型对象中,可以在应用程序中高效地访问和处理数据。随着大量音频和视频文件的积累,应用程序数据库中的数据在某一时刻将开始符合大数据的规则,其处理和存储必须由专门的大数据环境来完成。我们将讨论在专门的大数据环境中传输和存储大型对象的问题。将讨论不同环境之间的数据传输问题。必须保留数据的格式和内容,这就需要遵守几个条件,我们将对此进行讨论。
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