An interactive ElasticSearch depth paging inquiry method and device

Abstract

The invention provides an interactive ElasticSearch depth paging inquiry method, which is characterized by comprising receiving a inquiry request sent by a client; judging whether the inquiry requestis a first inquiry request and is smaller than the paging threshold value, if both of them are negative, carrying out the interactive query mode, aggregating and calculating the data of the exhaustively classified fields other than the query fields, and sending the query criteria to the ElasticSearch server according to the refined field combination selected by the user; encapsulating the resulting data returned by the ElasticSearch server and returning it to the client. The invention can real-timely and dynamically recommend query conditions to interact with the user through the interactive query mechanism, and provides the user with a choice, so that the query is more friendly and efficient.

Description

technical field [0001] The invention relates to the field of data processing, in particular to an interactive ElasticSearch deep paging query method and electronic equipment. Background technique [0002] Queries are one of the most common operations for searching servers. Among them, ElasticSearch is a search server based on Lucene. It provides a full-text search engine with distributed multi-user capabilities. Elasticsearch is developed in Java and released as open source under the terms of the Apache license. It is a popular enterprise-level search engine; ElasticSearch is document oriented, which means it can store entire objects or documents. . However, it not only stores, but also indexes (index) the content of each document so that it can be searched. In ElasticSearch, you can index, search, sort, and filter documents (rather than rows and columns of data). [0003] However, as a high-performance in-memory database, ElasticSearch, because in a distributed system,...

AI Technical Summary

Problems solved by technology

Specifically, according to the query results again, the present invention aggregates, calculates, analyzes and recommends to the user according to fields that can be classified exhaustively other than non-query conditions, aggregates all types of the fields, and converts them into user-understandable descriptions and returns them to Page, the user selects the classification that needs to be refined, and the combined query conditions are sent to the web server for data query. By adding query refinement conditions, the query is further refined and the number of matching documents is reduced, thus effectively solving the problem of excessive cost in the ElasticSearch deep paging query. high problem

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