Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Space vector data indexing and query method based on hbase distributed storage

A distributed storage and space vector technology, which is applied in the field of space vector data indexing and query based on HBase distributed storage, can solve the problems of wasting space, low resource utilization, and low performance of query index methods, and improve the organization mode , Avoid data redundant storage, reduce investment and the effect of data maintenance difficulty

Active Publication Date: 2021-12-24
吉奥时空信息技术股份有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of the above problems, the object of the present invention is to provide a space vector data organization and indexing method based on HBase distributed storage, aiming at solving the low performance, wasted space, and low resource utilization of existing HBase database query indexing methods question

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
  • Space vector data indexing and query method based on hbase distributed storage
  • Space vector data indexing and query method based on hbase distributed storage
  • Space vector data indexing and query method based on hbase distributed storage

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0030] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0031] figure 1 The flow of the HBase distributed storage-based space vector data indexing and query method provided by the embodiment of the present invention is shown, and only the parts related to the embodiment of the present invention are shown for convenience of description.

[0032] Such as figure 1 As shown, the space vector data index and query method based on HBase distributed storage provided by the embodiment of the present invention includes the following ...

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 present invention is applicable to the technical field of geographic information, and provides a spatial vector data indexing and query method based on HBase distributed storage. The method includes: establishing a spatial database metatable, and each record in the spatial database metatable corresponds to a spatial vector Data set table; each server node queries the space vector data set table according to the query conditions, and returns the query results to the client. The invention uses the RowKey index composed of partitions, spaces, attributes, object IDs, etc., which can effectively improve the organization of vector space data, thereby avoiding redundant storage of data; at the same time, it also customizes the partition strategy, which can automatically and evenly distribute data to each On the server node, the resource utilization rate of each node of the cluster is relatively balanced; in addition, the present invention also adopts a spatial coding method based on the XZ-Ordering idea, which can effectively solve the problem of line and area elements crossing geographic grids.

Description

technical field [0001] The invention belongs to the technical field of geographic information, and in particular relates to a space vector data index and query method based on HBase distributed storage. Background technique [0002] Spatiotemporal big data is an important part of big data and a basic information resource. With the gradual implementation of the national big data strategy, the data assets of government departments are becoming more and more perfect, which makes the total amount of spatiotemporal big data continue to increase. [0003] Traditional relational databases have been difficult to meet the storage, management and query applications of massive spatiotemporal big data. Therefore, it is urgent to break through the performance bottleneck of relational databases in mass data storage management and retrieval. In recent years, a number of excellent NoSQL (Not Only SQL, not just SQL) distributed databases have emerged in the field of big data storage, the m...

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): G06F16/22G06F16/215G06F16/2455G06F16/27G06F16/29
CPCG06F16/2255G06F16/215G06F16/2455G06F16/278G06F16/29
Inventor 吴杰尹心亮陈奇
Owner 吉奥时空信息技术股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products