A Performance Analysis of Different MongoDB Consistency Levels

A Performance Analysis of Different MongoDB Consistency Levels

연구 분야: Databases

학회: International Conference on Information Technology-New Generations

MongoDB DBMS is a NoSQL database management system that is known for its good performance in clusters of computers. In addition, the MongoDB has distinct levels of consistency that can be defined at the moment that a database operation is performed. The work described in this paper aims at investigating the MongoDB‘s performance using different levels of consistency. More specifically, the throughput and runtime performance of MongoDB operations are evaluated based on some workloads provided by the YCSB+T benchmark, which is an extension of the YCSB benchmark. The performance tests were performed according to two of the consistency level settings offered by MongoDB, w:1, j:true and readConcern (rc):local and w:majority, j:true and rc:local. The conclusion reached is that better performance is achieved when using the w:1, j:true and readConcern:local configuration. As a result, if there is a need for higher performance and data consistency is not an essential requirement, a write concern configuration that writes only to the primary node is a good solution.