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Real-time statistical method for API service calling

A technology of API services and statistical methods, applied in computing, transmission systems, program control design, etc., can solve the problems of increasing system complexity, application system throughput, robustness and fault tolerance requirements, and achieving high throughput. Effect

Pending Publication Date: 2020-06-19
山东爱城市网信息技术有限公司
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Problems solved by technology

[0008] However, the service-oriented application system also increases the complexity of the system, and the requirements for the throughput, robustness and fault tolerance of the application system are getting higher and higher

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Embodiment Construction

[0034] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer, the present invention will be described in detail below in conjunction with the embodiments. It should be noted that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0035] This API service call real-time statistics method, the API service call data in the micro-service application system is collected in real time, because the API service call data collection and business processing are separated in the micro-service application system, the asynchronous API service request data acquisition and collection method is adopted, and the real-time transmission micro Sub-application service call data in the service application system;

[0036] In the microservice application system, the API service call data is transmitted in real time. A cache system is set between the mic...

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Abstract

The invention particularly relates to a real-time statistical method for API service calling. According to the real-time statistical method for API service calling, API service calling data in the micro-service application system are collected in real time, the obtained data are transmitted to the computing engine system in real time through the cache system, and the situation that streaming stateful computing is used and window time is adopted for dividing computing granularity is considered, so that delay time is set to trigger aggregation computing, and the computing process state is cachedin a memory. The API service call real-time statistical method is applied to the API service call. An efficient processing method is provided for real-time API service calling situation statistics and flow monitoring under a micro-service system, efficient, high-throughput and exactly-once API service flow situation statistics can be achieved, and a ranking list of API service calling flow is given.

Description

technical field [0001] The invention relates to the technical field of calculation statistics and storage, in particular to a method for real-time statistics of API service calls. Background technique [0002] The rapid development of communication, big data and cloud computing technology has greatly changed the mode of network storage, transmission and computing, promoted the geometric growth of online application system business, and brought about subversive changes in the architecture of application system. From the traditional monolithic architecture, and later the SOA architecture, to the current mainstream microservice architecture, the application system has also changed from a closed, isolated, highly coupled model to an open, shared, and decoupled model. With the increase in the diversity and variability of business scenarios and requirements, and the problems of repeated construction of system functions and closed isolation, the traditional single application archi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/448H04L12/26
CPCG06F9/4482H04L43/0888Y02D10/00
Inventor 王勇
Owner 山东爱城市网信息技术有限公司
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