A Method for Query and Display Massive Time-series Data

A method for querying and displaying time series data based on extreme value of periods is proposed. By which the range of time to be queried and analyzed is divided into periods, and then determine the number of sampling points within a time period according to extreme value of the each time period’s data and the total number of points to be taken. Uniformly take the sampling points through a database query mechanism, combined with multi-threading mechanism to achieve parallel query and curve drawing of each time period data. The experimental results show that compared with traditional methods, the number of points needed for sampling can be assigned, and the drawn curve has a good approximation of the original curve in the case that the number of access points has been pre-determined; it is able to greatly shorten the time of curve query and drawing, with good engineering practicality