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Method and device applied to graph database

A database and data technology, applied in the computer field, can solve the problems of time-consuming, data loss, and inability to automatically switch between the master node and the standby node, and achieve the effects of reducing management costs, improving efficiency, and improving query efficiency.

Pending Publication Date: 2021-01-15
CHINA CONSTRUCTION BANK
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  • Abstract
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Problems solved by technology

[0008] Third, when there is a problem with the master node of the cluster, the switch between the master node and the backup node of the cluster cannot be automatically realized, and it is impossible for the user to realize the non-inductive switch
[0009] Fourth, the use of distributed storage for data can improve the query efficiency of data to a certain extent. However, most graph database data cannot be stored in a distributed manner at present.
Data loss due to system hardware or service problems often needs to stop the business first, and then re-import the data, which takes a lot of time to re-import

Method used

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  • Method and device applied to graph database
  • Method and device applied to graph database
  • Method and device applied to graph database

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Embodiment Construction

[0041] Exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0042] Based on the invention, efficient data query can be realized, and the system runs smoothly. The main function of the invention is to ensure high availability of services and data. First, to ensure high service availability is to make the graph database elastic and fault-tolerant. Specifically, it refers to the ability of the graph database to continue to provide se...

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Abstract

The invention discloses a method and device applied to a graph database, and relates to the technical field of computers. The method comprises the following steps: receiving a service request from a user; calling data in the graph database based on the service request of the user; sending the retrieved data to a user, wherein the data is stored in a graph database in a distributed manner; when thesame data is configured with a plurality of copies, configuring a cross-cluster mode to support intra-city double clusters and remote clusters. Before the user request is sent to the nodes in the cluster, whether the service of each node in the cluster is normal or not is automatically detected, and if it is detected that the service of one or more nodes fails, the task related to the user request is not sent to the failed node. The invention has the functions of disaster recovery in the same city and different places, and can automatically isolate faulty nodes in the cluster, thereby improving the efficiency of maintaining the graph database cluster and reducing the management cost of the graph database cluster.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method and device applied to graph databases. Background technique [0002] At present, the amount of data is growing exponentially, data analysis is becoming more and more complex, and schema changes are becoming more and more frequent. At the same time, it is necessary to meet the requirements of real-time query response time and smarter data push. There are certain limitations in relational databases, which make relational databases ineffective in storing "relational" data in the current situation, and queries are complex and slow. [0003] A graph database is a non-relational database that aggregates data in a graph format. Graph databases can overcome huge and complex data challenges that relational databases cannot. In order to cope with the rapid growth of data, complex data analysis, frequent data processing, real-time efficient query, intelligent data push,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/27G06F11/14G06F11/07G06F9/50
CPCG06F16/27G06F11/1448G06F11/0793G06F9/5083
Inventor 蔡淑莲吕文栋洪毅清钟文杰
Owner CHINA CONSTRUCTION BANK
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