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Real-time computing platform and data computing method based on real-time computing platform

A real-time computing and data technology, which is applied in the field of computer communication, can solve the problems of high memory resource occupancy rate and equipment performance degradation, and achieve the effects of improving performance, reducing reading and writing pressure, and saving memory resources

Inactive Publication Date: 2017-09-01
ZHEJIANG NUMBER CHAIN TECH CO LTD
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  • Claims
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Problems solved by technology

[0003] However, the real-time computing performed by the real-time computing platform relies heavily on memory resources. As the business data processed by the real-time computing platform continues to increase, problems such as high memory resource occupancy and greatly reduced device performance have become an issue. Issues that the industry continues to discuss

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  • Real-time computing platform and data computing method based on real-time computing platform

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Embodiment Construction

[0041] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0042] The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term...

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Abstract

The invention provides a real-time computing platform and a data computing method based on the real-time computing platform. The method is applied to the real-time computing platform which comprises a real-time computing subsystem, an off-line computing subsystem and a message subsystem. The method can comprise the steps that the real-time computing subsystem pushes a first business indicator data set, obtained through real-time computing of newly-added business data, to a merging subsystem; the off-line computing subsystem pushes a second business indicator data set, obtained through off-line computing of newly-added off-line business data, to the merging subsystem; and the merging subsystem merges business indicator data of the same indicator type in the first business indicator data set and the second business indicator data set and updates all merged business indicator data to a first database based on the indicator type, and all the merged business indicator data is displayed visually. Therefore, by use of the method, consumption of memory resources by real-time computing of the business data can be effectively lowered, and equipment performance can be improved.

Description

technical field [0001] The present application relates to the field of computer communication, in particular to a real-time computing technology. Background technique [0002] With the development of big data, batch processing frameworks suitable for offline computing, such as MapReduce (an offline computing framework), can no longer meet people's needs for real-time processing of big data. The real-time computing platform provides a rich API and a memory-based high-speed execution engine, so that the real-time computing platform combined with streaming, batch processing and interactive trial query is widely used in real-time computing of big data. [0003] However, the real-time computing performed by the real-time computing platform relies heavily on memory resources. As the business data processed by the real-time computing platform continues to increase, problems such as high memory resource occupancy and greatly reduced device performance have become an issue. An issue...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F9/50
CPCG06F9/5016G06F16/2425G06F16/2462
Inventor 何敏陈军李卫军
Owner ZHEJIANG NUMBER CHAIN TECH CO LTD
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