Database Query Optimization Based on Distributed Photovoltaic Power Generation

Rely on the distributed photovoltaic management system database, this paper puts forward a dynamic optimization of Mysql configuration parameters using hill-climbing algorithm, and through the index on the database field and multi-thread query optimization methods, make every effort to reduce the time spent on querying the data in database, and through a set of simulation, The results show that the parameters tuning is effective, the design scheme using index and multi thread can reduce the query time by more than 45% compared with the traditional single thread query method when querying a large amount of data in the distributed database, so it can achieve the database query optimization, improve the operation efficiency of distributed photovoltaic management system.