Query performance optimization method for blockchain carbon footprint data

Block chain can be used as a new kind of distributed database system, can be applied in areas such as carbon footprint. However, its practical application generally faces problems such as simple query function and low query performance due to the limitation of data storage mode. Therefore, for the application scenario of blockchain in carbon footprint, query performance optimization is a research topic that cannot be ignored. In this paper, we first introduce the current popular blockchain query schemes. Then we adopt a query optimization method based on MySQL, an external database, to support more complex and efficient query requirements. Finally, we verify the effectiveness and feasibility of the proposed scheme through experiments.