2012•Applied Mechanics and MaterialsRequires access

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

Yan Jun Zhao

Open publisher page 3 citations

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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What this paper is about

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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Available 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.

Key concepts: NoSQL, Computer science, Scalability, Query optimization, Database, Relational database, View, Relational database management system

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