Full-text quick retrieval method and device, electronic equipment and storage medium

Abstract

The invention relates to a full-text quick retrieval method and device, electronic equipment and a storage medium, and the full-text quick retrieval device comprises a data extraction module, an interception word segmentation module, an index construction module and a retrieval interface module; the data extraction module is used for synchronizing the unstructured data into the search server; the intercept word segmentation module is used for carrying out intercept and word segmentation on the unstructured data in the search server to obtain words and information related to the words; the index construction module is used for constructing the words and the information related to the words into indexes; and the retrieval interface module is used for providing a retrieval interface for a client to perform retrieval based on the index. According to the full-text quick retrieval device provided by the embodiment of the invention, components such as the search server are integrated, one-key installation can be realized, a unified search interface is provided, a data extraction task can be self-defined, and a one-stop full-text retrieval service is provided.

Description

technical field [0001] The invention relates to the technical field of information retrieval, in particular to a full-text fast retrieval method, device, electronic equipment and storage medium. Background technique [0002] Traditional relational databases use table storage. A relational database is a data organization composed of two-dimensional tables and the relationships between them. Data is stored in rows and columns, which is very convenient to read and query. . However, with the development of the enterprise's business, the data volume of its database will continue to grow. Even if the database is optimized, the data volume will be very large. When faced with massive data queries, the performance will drop seriously, especially For traditional relational databases, problems such as query timeout and single point of failure often occur. Moreover, when searching according to the keywords input by the user and the filter conditions set, sometimes few or no results ar...

AI Technical Summary

Problems solved by technology

However, with the development of the enterprise's business, the data volume of its database will continue to grow. Even if the database is optimized, the data volume will be very large. When faced with massive data queries, the performance will drop seriously, especially For traditional relational databases, problems such as query timeout and single point of failure often occur

Moreover, when searching according to the keywords entered by the user and the filter conditions set, sometimes there will be few or no results returned

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