A fast statistical method based on the discuz community

Abstract

The present invention relates to the technical field of real-time data processing, and specifically relates to a fast statistical method based on the Discuz community, comprising the following steps: Step 1, constructing a data memory computing mechanism; Step 2, constructing a forum theme hash table; Step 3 , Statistical processing. The present invention can significantly improve the processing performance of the community platform with huge historical data, transfer database-intensive operations to memory CPU-intensive operations, release MySQL and other database resources in time, reduce exclusive locks and other lock tables, and improve the response success rate. In small and medium-sized, high-frequency real-time queries, statistics and other business fields with large processing volumes, it provides favorable guarantees for the real-time and accuracy required by users to use services, and supports the secondary expansion and development of personalized statistical project requirements , the method of the present invention will open a new way for the data statistics processing platform, and also provide a new research idea for the business application research and development of the community forum.

Description

technical field [0001] The invention relates to the technical field of real-time data processing, in particular to a fast statistical method based on the Discuz community. Background technique [0002] With the continuous development of the Internet, information pays more attention to real-time performance. With the popularity of Weibo and WeChat, search engines have launched real-time search functions one after another. However, real-time data is more meaningful for website operations. People who look at data and reports tend to They hope that the more real-time the data, the better. They hope to grasp the changes of the website every hour or even every ten minutes, be able to know the current situation of the website well, and be able to find problems and respond quickly. [0003] From a technical point of view, it is obvious that real-time data statistics require more resources, because most of the data analyzed by the website needs to be calculated from the click stream ...

AI Technical Summary

Problems solved by technology

[0007] 1. Operating costs remain high, and server equipment requirements brought about by high concurrent processing capabilities have become synonymous with high costs;

[0008] 2. Low degree of query optimization, excessive reliance on the traditional SQL method provided by the database, many invalid data and structural attribute restrictions during the query process;

[0009] 3. The I / O throughput load is heavy, the utilization rate of CPU memory is unreasonable, and the flexibility of business applications is not high;

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