Intelligent sorting server and method and system for data statistics

Abstract

The invention provides an intelligent sorting server and a method and a system for data statistics. The method comprises the following steps of: acquiring original data needing to be acquired which is produced in real time according to a first time granularity t1 by a server and storing the original data into a database; performing statistical analysis and processing on the stored data of the last time granularity tm-1 in the database after a predetermined time granularity tm; and storing the data after the statistical analysis and processing into the database corresponding to the current time granularity tm until the preset nth time granularity tn is reached, or until the load of the server reaches the preset threshold, wherein m is more than 1 and less than n. The method and the system can reduce the data volume to be processed and improve the data processing performance of the server on the premise of ensuring the statistical accuracy.

Description

technical field [0001] The invention relates to the technical field of data statistics, in particular to an intelligent sorting server and a method and system for statistical data. Background technique [0002] At present, due to the continuous improvement of real-time data and statistical performance requirements, people's requirements for the time granularity of data statistics and statistical data processing capabilities are constantly increasing. The improvement of time granularity will inevitably result in too much statistical data. A large amount of statistical data reduces the statistical performance of the data and increases the difficulty of statistical analysis. In actual statistics, the demand for real-time is constantly increasing, so that people need to know the statistical situation in a short period of time accurately, and the granularity of statistical time is required to be continuously reduced. At the same time, the fast and accurate statistics are requir...

AI Technical Summary

Problems solved by technology

[0004] In short, in the statistics of large amounts of data, the common problem is the contradiction between statistical accuracy and statistical performance.

On the whole, the methods currently used will cause loss of original data, resulting in a decrease in accuracy and increasing the complexity of the database. It is difficult to meet the requirements of not losing original data, reducing statistical accuracy, and improving statistical performance.

Images