Research on MongoDB Design and Query Optimization in Vehicle Management Information System

Yan Zhao

doi:10.4028/www.scientific.net/AMM.246-247.418

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 246-247Research on MongoDB Design and Query Optimization...

Research on MongoDB Design and Query Optimization in Vehicle Management Information System

Abstract:

NoSQL database is the broad definition of non-relational database. MongoDB is one of the most popular NoSQL database nowadays, and it is a schema-free and document oriented database, which has great query performance with huge amount of data and great scalability. More and more companies have adopted MongoDB, as increasingly large scale data is being stored in MongoDB, design philosophy and query optimization issues become growing concerns. This paper attempts to give the data storage structures of MongoDB on vehicle management information system. Based on this system, this paper gives two design philosophy and five different query optimization methods for MongoDB and gives the key code and diagrams of MongoDB optimization methods.

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Periodical:

Applied Mechanics and Materials (Volumes 246-247)

Pages:

418-422

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.246-247.418

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Online since:

December 2012

Authors:

Yan Zhao

Keywords:

MongoDB, NoSQL, Query Optimization

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