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High-load service storage and retrieval method for non-relational data storage

A data storage, non-relational technology, which is applied in the field of storage and retrieval, can solve the problems of low efficiency of massive data storage and retrieval, and achieve the effect of improving data retrieval efficiency, efficient storage, and low cost

Active Publication Date: 2019-01-15
NANJING NARI GROUP CORP +2
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Purpose of the invention: In order to solve the problem of low storage and retrieval efficiency of a large amount of data in the prior art, the present invention provides a high-load business storage method for non-relational data storage, and provides a high-load business retrieval for non-relational data storage method

Method used

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  • High-load service storage and retrieval method for non-relational data storage
  • High-load service storage and retrieval method for non-relational data storage

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Embodiment Construction

[0026] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0027] see figure 1 , the high-load business storage and retrieval system of non-relational data storage includes a storage management module, a metadata module, an index module and a content storage module. Storage management module: the core processing module of storage, storage interface, responsible for the management of the entire storage system, scheduling of storage tasks, assigning data operations to the metadata module, index module, and content storage module, and completing the entire process scheduling and control of storage and retrieval . Metadata module: metadata processing, storage, and caching, processing non-relational data, extracting metadata information, and storing them in persistent storage. When the system starts, metadata information is loaded into memory for cache processing; metadata information includes global data ...

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Abstract

The invention discloses a high-load service storage and retrieval method for non-relational data storage. The storage process is to receive a request for creating / updating non-relational data, construct metadata information for the non-relational data, put the metadata information into a buffer and store the metadata information permanently. Gets the index key information, builds the index information, caches the index information, and stores it permanently. The retrieval process receives the data retrieval request, obtains the metadata information from the cache, and returns the metadata information. Searches for index information based on the metadata information and returns the index information. For a large amount of data, the invention can realize efficient storage and retrieval, andis simple and reliable, easy to operate and maintain, and low in cost.

Description

technical field [0001] The present invention relates to the technical field of computer storage, in particular to a storage and retrieval method based on storage data index optimization and reconstructed storage target objects (files, data blocks), which can significantly improve data search efficiency. Background technique [0002] With the rapid development of information technology, more and more data are produced, how to efficiently store and retrieve data has always been the focus of the industry. Various storage systems and technologies have emerged, trying to improve the efficiency of data storage and retrieval from various aspects. These technologies include traditional file systems, relational database systems, non-relational database systems, distributed file systems, distributed blocks and object storage systems, etc. The current mainstream cloud storage system uses technologies such as high-speed networks and distributed systems to store and retrieve data more e...

Claims

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Application Information

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IPC IPC(8): G06F16/22G06F16/2455
Inventor 朱广新院仁杰俞俊钱琳梅竹庞恒茂卜敏陈海洋凌阳王剑江樱宋德炳许明杰王琳
Owner NANJING NARI GROUP CORP
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