A Relay Calculation Method Based on Complex Operation of Big Data

Abstract

The invention relates to a relay calculation method based on a big data complex operation. The method is characterized by comprising the steps that S1, after dynamic allocation through a computer system, data extraction, standardization and simple operation are completed in a database access terminal; S2, a semi-finished result is transmitted to a Web server, hardware resources of the Web server are utilized for further processing data through a specially developed operation processing module of the Web server, and a basic calculation task of big data is completed; S3, the data whose formatting is not completed in S2 is transmitted to a client side, a JS client side program is utilized for completing final simple combination, addition, subtraction, interception and filtration calculation through an advanced client side control of the client side, and the data is subjected to format display, chart display, sequencing, stressed display and correlation highlighting. By means of the method, processing bottlenecks caused by general processing software are avoided, and the situation that operation and processing approach a full load or accumulate at one position but wait or idle at the other two positions is greatly reduced and even eliminated.

Description

technical field [0001] The invention relates to the technical field of computer big data calculation methods, in particular to a relay calculation method based on big data complex calculations. Background technique [0002] With the large-scale popularization and development of the network, more and more enterprises, communities, schools and other departments have applied data management software such as human resources. These software distributions operate independently, ensuring the reasonable allocation of human resources, providing auxiliary decision-making information and traceable management credentials. Therefore, automatic analysis of abnormal data information and real-time query of upper-level data to improve the intelligence of human resource management is a cutting-edge technology that has attracted much attention in the field of human resource management and has a huge market demand. [0003] The data network of a micro-enterprise and institution includes at lea...

AI Technical Summary

Problems solved by technology

At the same time, these smallest management units are independent of each other, and the information between them is not interconnected. Once an abnormal situation occurs, how to quickly query the target is a very challenging problem for the human resource management network of enterprises and institutions.

[0004] In practical applications, most intelligent server management methods are aimed at single enterprises and institutions with fixed locations, but the management data of enterprises and institutions has limitations.

[0005] For the complex calculation of big data, the general processing software will cause a processing bottleneck on one of the database side, web server side or client side, often making the calculation and processing of one place close to full load or backlog, while the other two places are waiting or idle , greatly affecting the overall speed and performance of the system

Images