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A distributed implementation system and method based on graph database

A technology for implementing systems and databases, which is applied in the distributed implementation system based on graph databases and graph databases. It can solve problems such as limited single-machine performance, low storage and query performance, and achieve the effect of avoiding storage.

Active Publication Date: 2021-09-17
北京知道未来信息技术有限公司
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

Queries involving entities, events, and associations are limited by the performance of a single machine, and the performance of storage and query is low

Method used

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  • A distributed implementation system and method based on graph database
  • A distributed implementation system and method based on graph database
  • A distributed implementation system and method based on graph database

Examples

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Embodiment Construction

[0031] The invention relates to distributed implementations of graph databases.

[0032] One scenario is that when an enterprise's graph database storage capacity faces a capacity bottleneck, the graph database can be deployed in a distributed manner to achieve a linear increase in graph database capacity.

[0033] One scenario is that when the writing performance of an enterprise's graph database is facing a performance bottleneck, the graph database is deployed in a distributed manner to achieve a linear increase in the writing performance of the graph database.

[0034] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.

[0035] When storing data, the arbitration module classifies and extracts the data that needs to be stored. If it is an entity node and relationship, it is stored in the main graph. If it is an event node and relatio...

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Abstract

The present invention provides a distributed implementation system and method based on graph database, including: a main control server, deploying an arbitration module and a main graph database; a working server, deploying a sub-graph database; Classified extraction, if the stored data is entity nodes and relationship information, it will be stored in the main graph database, if it is event nodes and relationship information, it will be stored in the sub-graph database; when the data is read, the arbitration module will read the information For analysis, if the read information is entity node and relationship information, it will be stored in the main graph database, and if the read information is event node and relationship information, it will be stored in the sub-graph database. The classification of data is realized through the arbitration module in the master server, so as to realize the linear expansion of data storage and writing performance. At the same time, the corresponding system method is provided.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a graph database, and in particular to a distributed implementation system and method based on a graph database. Background technique [0002] Graph database is a type of NoSQL database. As a non-relational database, it applies graph theory to store relational information between entities. [0003] For example, the relationship between people in a social network, in the graph database, each person is represented as a point, and the relationship between people is represented by the edges between points and points. Traditional relational databases are not ideal for storing "relational" data, and often have the defects of complex and slow queries, while graph databases can perfectly make up for this defect. [0004] Types of graph databases include, but are not limited to: Neo4j, Arangodb, Orientdb. [0005] Traditional graph data storage is realized by storing entities an...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/901
CPCG06F16/9024G06F16/9027
Inventor 陈效友刘理鑫
Owner 北京知道未来信息技术有限公司
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