An interactive elasticsearch deep paging query method and device

Abstract

The present invention provides a method for interactive ElasticSearch deep paging query, which is characterized by comprising: receiving a query request sent by a client; judging whether the query request is the first query request and is less than the paging threshold, and if both are no, Then, the interactive query method is performed, the data of the exhaustively classified fields other than the query field is calculated by aggregation, and the query conditions are combined according to the refined fields selected by the user and sent to the ElasticSearch server; the result data returned by the ElasticSearch server is encapsulated and returned to the ElasticSearch server. client. The present invention utilizes an interactive query mechanism for real-time and dynamic recommendation, and can interact with users by real-time and dynamic recommendation query conditions, providing users with choices, and making the query 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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