MongoDB Oplog Archiving: Strategies And Experimental Analysis

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Gayatri S. Kapadia
Dr. Sonal Kanungo
Jalpa P. Pandya
Dr. Rustom D. Morena

Abstract

MongoDB is a widely used NoSQL database system. Archiving within MongoDB involves placing historical or outdated data in a distinct location or structure. This is usually done to release resources within the active database, leading to an enhancement in overall performance. The purpose of this approach is to enable organizations to efficiently handle substantial volumes of data and uphold a system that remains responsive for ongoing operations. MongoDB, known for being a NoSQL database, offers multiple methods for the archival of data. MongoDB depends on the Oplog (operation log) to record real-time database changes. This essential component plays a vital role in enabling features like replication and sharding, which are crucial for maintaining data consistency and ensuring high availability. Nevertheless, handling and archiving Oplog data can present notable difficulties, especially in extensive MongoDB deployments. This research delves into different Oplog archiving approaches and offers an empirical analysis of their performance and efficiency.

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How to Cite
Gayatri S. Kapadia, Dr. Sonal Kanungo, Jalpa P. Pandya, & Dr. Rustom D. Morena. (2024). MongoDB Oplog Archiving: Strategies And Experimental Analysis. Educational Administration: Theory and Practice, 30(5), 6378–6387. https://doi.org/10.53555/kuey.v30i5.3947
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Author Biographies

Gayatri S. Kapadia

Ph.D. Scholar, Department of Computer Science, Veer Narmad South Gujarat University (VNSGU), Surat, Gujarat, India.

 

Dr. Sonal Kanungo

Associate Professor, Department of Computer Science, DPG Degree College, MDU University, Gurugram.

 

Jalpa P. Pandya

Ph.D. Scholar, Department of Computer Science, Veer Narmad South Gujarat University (VNSGU), Surat, Gujarat, India.

 

Dr. Rustom D. Morena

Professor, Department of Computer Science, Veer Narmad South Gujarat University (VNSGU), Surat, Gujarat, India.