Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

An elasticsearch cluster expansion method that supports balanced resources

An expansion method and cluster technology, applied in resource allocation, multi-programming devices, electrical components, etc., can solve the problems that the sharding mechanism cannot meet the requirements, and the number of primary shards of the Hash sharding mechanism cannot be fixed, so as to avoid local hot spots Effect

Active Publication Date: 2020-07-10
XIAMEN MEIYA PICO INFORMATION
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the default sharding mechanism of Elasticsearch cannot meet the requirements, and the number of primary shards in the Hash sharding mechanism cannot be fixed.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • An elasticsearch cluster expansion method that supports balanced resources
  • An elasticsearch cluster expansion method that supports balanced resources
  • An elasticsearch cluster expansion method that supports balanced resources

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] To further illustrate the various embodiments, the present invention is provided with accompanying drawings. These drawings are a part of the disclosure of the present invention, which are mainly used to illustrate the embodiments, and can be combined with related descriptions in the specification to explain the operating principles of the embodiments. With reference to these contents, those skilled in the art should understand other possible implementations and advantages of the present invention. Components in the figures are not drawn to scale, and similar component symbols are generally used to denote similar components.

[0027] The present invention will be further described in conjunction with the accompanying drawings and specific embodiments.

[0028] The present invention is realized based on an Elasticsearch cluster and an alias mechanism. Elasticsearch provides an alias mechanism for libraries (index), and libraries (index) with the same alias will be logi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an Elasticsearch cluster expansion method supporting resource leveling. The method includes steps of S1, mounting Elasticsearch nodes according to server hardwire resource; S2, setting basic parameters of a dynamic cluster and recording some state values of the dynamic cluster, and performing data persistence on the parameters and the dynamic values in format of database or XML into a magnetic disk; S3, creating a thread, detecting file number and space occupancy regularly, and creating zones and adjusting storage strategy dynamically according to system parameters ifa threshold value is reached. According to the invention, data volume of corresponding proportions can be stored according to performance load leveling of a server in an Elasticsearch cluster and automatic creating of bases and zones are supported according a target data volume and the magnetic disk space threshold value, and the cluster is expanded dynamically. Therefore, problems of excessive data volume of one zone and local hot spots during new data insertion are avoided. At the same time, automatic recognition and load leveling on bases and zones of the Elasticsearch cluster can be realized after a new server is added into the cluster.

Description

technical field [0001] The invention relates to an Elasticsearch cluster expansion method supporting balanced resources. Background technique [0002] With the development and progress of society, it has entered the era of big data, and the storage and retrieval of massive data has been applied to various fields. Among them, full-text search is one of the commonly used functions, which is similar to the query effect of Baidu and Taobao. Elasticsearch is the most used enterprise-level search application server in full-text search, and has provided solutions for large enterprises such as Acerson, Blizzard Entertainment, Dell, and eBay. It has the characteristics of rich functions, near real-time retrieval, cluster support, etc., and is free and open source. [0003] For the storage of massive data, Elasticsearch supports cluster mode, and multiple data nodes can be deployed on each server. Each library can be divided into multiple primary shards, and each primary shard is s...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08G06F9/50G06F16/27
Inventor 曾超温若辉江汉祥吴金汉
Owner XIAMEN MEIYA PICO INFORMATION
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com