Data query method and device, equipment and medium

Abstract

The invention discloses a data query method and device, equipment and a medium, and the method comprises the steps: obtaining a to-be-executed data query statement, and converting the to-be-executed data query statement into a to-be-executed syntax tree, wherein the to-be-executed data query statement is a query statement written by using a pre-developed search processing language, and the search processing language has a corresponding relationship with processing languages of different data sources and processing languages of different query actuators; determining to-be-queried data source information corresponding to the to-be-executed data query statement according to the to-be-executed syntax tree; and executing a query plan corresponding to the to-be-executed syntax tree by utilizing a target query executor determined according to the to-be-queried data source information so as to obtain a query result corresponding to the to-be-executed data query statement. In this way, different data sources can be queried, and a specific query executor can be selected according to the data sources so as to accelerate the query process.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a data query method, device, equipment, and medium. Background technique [0002] Federated query is to initiate a query across multiple data sources, and filter and aggregate the results as needed. This can effectively solve the problem that data between multiple data sources cannot be operated uniformly, and solve the problem of difficult user rights management of multiple data sources. At present, federated query is mainly implemented based on SQL (Structured Query Language, Structured Query Language). However, in the current federated query scenario, the industry does not support SQL well enough, that is, the SQL language corresponds to some data source processing languages. If not, it cannot be converted into the processing language of the corresponding data source. And the same executor is often used for different data sources, and there is no automa...

AI Technical Summary

Problems solved by technology

At present, federated query is mainly implemented based on SQL (Structured Query Language, Structured Query Language). However, in the current federated query scenario, the industry does not support SQL well enough, that is, the SQL language corresponds to some data source processing languages. No, it cannot be converted into the processing language of the corresponding data source

And the same executor is often used for different data sources, and there is no automatic routing to select the appropriate query executor to speed up execution

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