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Mass class locator data storage method

A technology for positioning data and massive amounts of data, applied in the field of information processing, it can solve problems such as inability to adapt to and meet the needs of data management and services, performance degradation, etc., and achieve the effect of avoiding data loss and unavailability

Inactive Publication Date: 2015-05-20
CHINA CHANGFENG SCI TECH IND GROUPCORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Due to various limitations and restrictive factors of the traditional data management software products, with the rapid expansion of the data volume, its performance declines, and it can no longer adapt to and meet the needs of data management and services in the new era.

Method used

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  • Mass class locator data storage method

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Embodiment Construction

[0019] In order to meet the challenges of massive information storage and query, many emerging data storage and application technologies and models have been born, the representative one of which is NoSQL database technology, that is, non-relational database technology. NoSQL data storage does not require a fixed table structure, and usually there is no connection operation. It has incomparable performance advantages in big data access than relational databases. The present invention is a database storage management system designed and developed based on NoSQL database technical thought. The NOSQL system has better scalability and can support a larger amount of data. Therefore, some methods of improving storage retrieval efficiency by increasing storage space can also be adopted. Due to the relatively simple implementation of the storage engine and the concurrency control mechanism of the NOSQL system, the performance of the system can be roughly estimated at the beginning of ...

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Abstract

The invention provides a mass class locator data storage method. A mass class locator data storage system based on a MongoDB server cluster is built to serve as a supporting platform, a data fragment technology and a distributed type data storage technology are utilized, a sharing-nothing storage framework is adopted, data are divided according to the specific dimensionality needed by services and are averagely stored in all servers and disks, so that it is ensured that read and write loads of the system are balanced as much as possible, all IOs for data reading and writing are called, and the total IO supporting capacity of the cluster is obtained. In addition, a memory mapped file technology is utilized, accessed data information is stored in memories of the servers, and therefore performance delay possibly caused by the magnetic disk IOs is reduced to the maximum extent.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a method for storing massive positioning data. Background technique [0002] Class positioning data refers to the collective term of all data information including positioning information and its transmission and storage format or form. Although location information still belongs to structured data in terms of classification, some of its storage and application characteristics have undergone tremendous changes, which are mainly reflected in the following two aspects: [0003] (1) Due to the increasing number of devices that generate positioning information, or the continuous increase in the collection density of positioning information due to specific business requirements, the amount of positioning information generated will far exceed that of traditional services. In the current actual business operation process, the data volume of the positioning information of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F3/067G06F3/061
Inventor 蓝飞翔陈学钊袁芳王欢
Owner CHINA CHANGFENG SCI TECH IND GROUPCORP
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