Probability based big data query method

A query method and big data technology, applied in the database field, can solve problems such as inability to meet query requirements

Active Publication Date: 2015-12-02
NORTHEASTERN UNIV
View PDF2 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the complete query method adopted by the current database system can no longer meet this query

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
  • Probability based big data query method
  • Probability based big data query method
  • Probability based big data query method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0079] The present invention proposes a probability-based big data query method. During the query process, the query performance is improved by specifying the query probability and the integrity of the query data is lost. It is a new type of data query technology, and has better Versatility, applicability and scalability. The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. A probability-based big data query method in this embodiment, such as figure 1 As shown, it includes: the step of dividing the data set with multiple attributes according to the data model; the step of loading the data set according to the data probability placement model; and the step of performing probability query on the data set.

[0080] The data model defines how data is organized in the database system, mainly including two parts: the logical model and the physical model of the data. figure 2 is the data model diagr...

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 discloses a probability based big data query method and pertains to the technical field of databases. The method comprises: the step of partitioning a data set with a plurality of attributes according to a data model; the step of loading the partitioned data set according to a data probability placement model; and the step of performing probability query on the data set. The method is an approximately complete query method, which improves the query performance of data by appropriately sacrificing query integrity; realizes probability placement of data and solution of existence probability of data in each storage file by using a probability based data placement model; enables data query in a database system through total probability query by using a heuristic data query method; and ensures a query error of probability query through probability calculation.

Description

technical field [0001] The invention belongs to the technical field of databases, in particular to a probability-based big data query method. Background technique [0002] The high integration of the ternary world of man, machine, and things has triggered the explosive growth of data scale and the high complexity of data models. The world has entered the era of networked big data. The advent of the big data era has brought great challenges to traditional data management systems. NoSQL (NotonlySQL) databases have been widely favored by academia and industry for their high scalability, high availability, and flexible data models. Data query technology is one of the core technologies of database systems. With the development of cloud computing technology and NoSQL database technology, NoSQL-based data query technology has attracted much attention and has been widely studied in the industry. [0003] As we all know, the current mainstream NoSQL database is mainly based on 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
IPC IPC(8): G06F17/30
CPCG06F16/2433G06F16/24532G06F16/278
Inventor 宋杰伍晋博张一川张莉
Owner NORTHEASTERN UNIV
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
Try Eureka
PatSnap group products