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Efficient search engine method for heterogeneous multiple data sources based on Elasticsearch

A search engine, multi-data source technology, applied in the field of information search, can solve the problem that the spatiotemporal object database does not have fast query and other problems

Inactive Publication Date: 2021-06-18
苏州中科蓝迪软件技术有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Clearly, spatio-temporal object databases do not have the ability to quickly query the required information in all these sources, and this problem needs to be resolved urgently

Method used

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  • Efficient search engine method for heterogeneous multiple data sources based on Elasticsearch
  • Efficient search engine method for heterogeneous multiple data sources based on Elasticsearch
  • Efficient search engine method for heterogeneous multiple data sources based on Elasticsearch

Examples

Experimental program
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Embodiment 1

[0024] Embodiment 1: as Figure 1-3 An efficient search engine method based on Elasticsearch based on heterogeneous multi-data sources is shown, which consists of four parts: index database, index document, data collector and search interface. Organize the content data into corresponding index documents, then store the constructed index documents in the index database, and finally, users search and query through the search interface;

[0025] Described index database Elasticsearch is used in conjunction with relational database or non-relational database, utilizes the real-time search and analysis function of Elasticsearch, uses Elasticsearch-Hadoop (ES-Hadoop) connector, handles a large amount of data in Hadoop database;

[0026] The index document structure adopts the index document type JSON supported by Elasticsearch. Through Elasticsearch, spatiotemporal objects can be used to create index documents, JSON data document format, and the content types of documents supported ...

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PUM

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Abstract

The invention discloses an efficient search engine method for heterogeneous multiple data sources based on Elasticsearch. According to the method, heterogeneous and multi-data-source efficient full-text search of information in a space-time object database (a relational database and a non-relational database), a distributed file system and an information resource management system is realized. The search engine is composed of an index database, an index document structure, a data collector and a search interface. The method comprises the following steps: enabling a data collector to collect content data needing to be searched in a system, and organizing and constructing the content data into a corresponding index document; then storing the constructed index document into an index database; and finally searching and querying through a search interface. According to the invention, data of different types and multiple data sources at the enterprise level can be gathered into one system, and support is provided for data fusion analysis.

Description

technical field [0001] The invention relates to the technical field of information search, in particular to an efficient search engine method based on Elasticsearch-based heterogeneous multi-data sources. Background technique [0002] At present, commercial search engines such as Baidu use specific computer programs to collect information from the Internet according to certain strategies, organize and process the information, provide users with retrieval services, and display the relevant information retrieved by users to users. It consists of four parts: searcher, indexer, retriever and user interface. The function of the search engine is to roam, discover and collect information in the Internet. The function of the indexer is to understand the information searched by the searcher, extract the index items from it, and use it to represent the document and generate the index table of the document library. The function of the retriever is to quickly retrieve documents in the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/25G06F16/951G06F16/9538
CPCG06F16/252G06F16/951G06F16/9538
Inventor 刘小春张亚军姚亮李坡
Owner 苏州中科蓝迪软件技术有限公司
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