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Data processing device and method based on stored data grids

A data processing device and memory data technology, applied in the computer field, can solve problems such as large data volume, complex logic, and long operation response time, and achieve the effects of reducing load pressure, shortening response time, and speeding up

Inactive Publication Date: 2014-01-01
YONYOU NETWORK TECH
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, because there are many core algorithms in the ERP system, the logic is quite complex, and the amount of data involved is huge, so the calculation takes a long time. The traditional software algorithm structure has long operation response time, heavy server load pressure, and bottleneck resource contention. , huge pressure on network transmission, etc.
[0004] At present, there is no effective technical solution in the relevant technologies to solve the above-mentioned technical problems encountered in the group's ERP system

Method used

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  • Data processing device and method based on stored data grids
  • Data processing device and method based on stored data grids
  • Data processing device and method based on stored data grids

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Embodiment Construction

[0033] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0034] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described here. Therefore, the protection scope of the present invention is not limited by the specific details disclosed below. EXAMPLE LIMITATIONS.

[0035] figure 1 A schematic block diagram of a data processing device based on an in-memory data grid according to an embodiment of the present invention is shown.

[0036] Such as figure 1 As sho...

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Abstract

The invention provides a data processing device based on stored data grids and a data processing method based on the stored data grids. The device comprises a data loading module, a data dividing module and a data processing module, wherein the data loading module is used for loading data to be processed in a data base to the stored data grids; the data dividing module is used for dividing the data loaded in the stored data grids into at least one data set according to the relevance among the data; the data processing module is used for respectively processing each data set by using different grid nodes in the stored data grids, and returning the processing result of each data set to the data base. According to the technical scheme, the data to be processed which are loaded into the stored data grids are divided into a plurality of data sets, processing is respectively carried out by different grid nodes in the stored data grids, the data processing efficiency is improved, the load pressure for processing by a signal processor is reduced, and the respond time for processing the data is shortened.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a data processing device based on an internal data grid and a data processing method based on an internal data grid. Background technique [0002] In-memory data grid (IMDG) is a new type of grid system for memory resource sharing on wide area network. Its main goal is to improve the system performance of memory-intensive applications or IO-intensive applications when physical memory is insufficient. In-memory data grids are seen as a way to handle big data that is fast, varied, and large in volume. Storing data in memory and distributing it across multiple servers is an approach for easier data acquisition, improved scalability, and better data analysis. [0003] The Group's ERP (Enterprise Resource Planning) system has the characteristics of huge data volume and complex and time-consuming processing. The data volume of the system can generally reach tens of gigabyt...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/986
Inventor 王海文
Owner YONYOU NETWORK TECH
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