Signaling big data processing method and electronic device

Abstract

The present invention provides a signaling big data processing method and electronic equipment. The method includes: using a pre-established Counter pre-extraction model, performing Counter extraction processing on the signaling big data to be processed, and performing external calculation on the extracted Counter; The signaling big data extracted by Counter is stored for calculation and processing. The present invention can effectively improve the processing efficiency of signaling big data, effectively reduce hardware consumption, save hardware investment, and improve enterprise benefits.

Description

technical field [0001] The present invention relates to the technical field of communication data processing, and more specifically, to a signaling big data processing method and electronic equipment. Background technique [0002] At present, various telecom operators with rich big data resources have extensively established a large number of signaling monitoring systems, and analysis of various dimensions based on signaling data has become a key capability of various telecom operators. For example, based on signaling data, carry out poor-quality network element analysis, end-to-end service quality analysis, customer perception traceability analysis, and real-time service quality monitoring. At the same time, due to the rapid development of mobile Internet services, the signaling data scale is huge and continues to grow. [0003] The explosive data growth and the very slow analysis speed of the existing architecture have brought great challenges to the processing efficiency...

AI Technical Summary

Problems solved by technology

[0004] The XDR is directly put into the database for calculation, but because the URI, User-Agent, etc. in the XDR detailed list occupy a large amount of storage, and at the same time count useless fields for business indicators, it consumes more memory resources during the calculation process and reduces data processing performance;

[0005] The amount of data involved in the calculation is large, and at the same time, the complex logic judgment of Counter extraction is included in the SQL, which makes the statistical analysis and processing of some business indicators take a long time;

[0006] Hadoop is a general-purpose computing framework developed and implemented based on the Java language, and its processing efficiency for specific business scenarios is not optimal.

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