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Distributed type performance data processing method

A technology of data processing and processing methods, applied in the fields of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of increasing software costs, emerging efficiency problems, and large processing pressure on ORACLE databases, and achieves improved efficiency and improved Effects of Accessibility

Active Publication Date: 2014-06-11
INSPUR TIANYUAN COMM INFORMATION SYST CO LTD
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Problems solved by technology

[0003] However, the summary of performance files and the warehousing rely heavily on ORACLE. With the continuous increase of data volume, the processing pressure of ORACLE database is greater, and the efficiency problem is prominent. At the same time, ORACLE also increases the software cost.

Method used

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  • Distributed type performance data processing method

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Embodiment Construction

[0019] The present invention will be described in detail below with reference to the accompanying drawings.

[0020] A kind of distributed performance data processing method of the present invention is to use HADOOP, HBASE open-source software distributed storage performance file and adopt STORM scheduling framework, parallel summary calculation, the summary calculation result is entered into ORACLE database; Concrete steps are as follows:

[0021] 1) Introduce the open source distributed file system HADOOP and HBASE software, and split the performance data files into small files with large network element entities as the unit through HBASE and store them in HADOOP;

[0022] 2) The summary calculation of performance data takes files from HADOOP through HBASE, and calculates them in the JAVA program;

[0023] 3) Introducing concurrent processing, the storm master node performs unified scheduling, assigns tasks to different worker nodes for summary calculation, and improves proc...

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Abstract

The invention provides a distributed type performance data processing method based on computing processing of distribution type stored data, and relates to storage and computing processing of network performance large data. A performance data file is stored and managed in a distributed manner through an HBASE and an HADOOP; meanwhile, missions are distributed to a plurality of worker nodes by using a STORM scheduling framework; concurrent computing and storage can be carried out; the entire treatment time is shortened by improving concurrence, so that the dependence on ORACLE is reduced, and the software cost is reduced.

Description

technical field [0001] The present invention relates to the technical field of mobile communication, in particular to a distributed performance data processing method. Background technique [0002] In mobile communication, the performance management system collects and analyzes the operation data of the network management system. It has the ability to collect, analyze, summarize, and store network management data, provide front-end report query, and model management. [0003] However, the collection and warehousing of performance files rely heavily on ORACLE. With the continuous increase of data volume, the processing pressure of ORACLE database is greater, and the efficiency problem is highlighted. At the same time, ORACLE also increases the software cost. Contents of the invention [0004] The purpose of the present invention is to provide a distributed performance data processing method. [0005] The purpose of the present invention is achieved in the following manner...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F9/46
CPCG06F16/13G06F16/182
Inventor 晏学义陈学庆刘金海史守斌
Owner INSPUR TIANYUAN COMM INFORMATION SYST CO LTD
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