A fast statistical method for mobile applications

A mobile application and statistical method technology, applied in the field of mobile applications, can solve the problems of not reducing the amount of calculation and analysis, long-term calculation and analysis, and increasing the overall system complexity, so as to reduce the time required, the fault tolerance rate is high, and the required effect of time

Active Publication Date: 2021-06-22
YONYOU NETWORK TECH CO LTD
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  • Description
  • Claims
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Problems solved by technology

However, when there are many historical messages, it takes a long time to calculate and analyze; another solution is to process this kind of big data through distributed computing. Although this solution can speed up the processing speed, it does not reduce the overall calculation and analysis. , while the distributed computing of multiple machines itself increases the complexity of the overall system

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  • A fast statistical method for mobile applications

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Embodiment Construction

[0039] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0040] Such as figure 1 As shown, the quick statistical method of the mobile application of the embodiment of the present invention is characterized in that, comprises the following steps:

[0041] Step S1, the server receives the application data reported when the mobile application APP starts.

[0042] In this step, when the mobile app starts the application, it will report a piece of application data. The application data reported by the mobile application includes: application version, device ID number, network connection me...

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Abstract

The present invention proposes a fast statistical method for mobile applications, including: the server receives the application data; the server splices the received application data and stores them in the redis buffer; obtains the reported data, and determines the reported data in combination with the information recorded in the database Whether the equipment is a newly added equipment, the acquired reported information and equipment type will be put into the file of the day according to the format; at the preset time, the new reported data of the day will be combined with the intermediate file of the one-dimensional calculation calculated on the previous day to generate a one-dimensional Aggregate result file, generate the one-dimensional calculation result file of the day at the same time; then perform two-dimensional total calculation, generate a two-dimensional total result file according to the new reported data of the day combined with the intermediate file of two-dimensional calculation calculated on the previous day, Generate the two-dimensional calculation result file of the current day. The invention can greatly reduce the time required for traversing historical data, thereby significantly reducing the time required for daily statistics. It is convenient for users to see daily data updates faster.

Description

technical field [0001] The invention relates to the technical field of mobile applications, in particular to a fast statistical method for mobile applications. Background technique [0002] The statistics of mobile applications play an important role in the operation of mobile apps, which is convenient for users to understand the installation volume, activity level, geographical location information of user groups, and device information. The traditional server-side statistical method is to log each reported original message, and perform statistics based on all message information every day. However, when there are many historical messages, it takes a long time to calculate and analyze; another solution is to process this kind of big data through distributed computing. Although this solution can speed up the processing speed, it does not reduce the overall calculation and analysis. , while the distributed computing of multiple machines itself increases the complexity of the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/23G06F16/2458H04L29/08
Inventor 周兴海
Owner YONYOU NETWORK TECH CO LTD
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