Query processing method, query processing system, server and computer readable medium

Abstract

The invention provides a query processing method, which relates to the field of cloud computing and comprises the following steps that: a service node analyzes a query request and generates a corresponding logic execution plan; the service node judges whether the logic execution plan belongs to OLAP scale query service or OLT scale query service; when it is judged that the logic execution plan belongs to OLAP scale query service, the service node divides the logic execution plan into a plurality of logic execution sub-plans; the coordination node generates a first physical execution plan corresponding to the logic execution plan and feeds back the first physical execution plan to the service node, and the first physical execution plan records node information of processing nodes corresponding to the logic execution sub-plans; the service node distributes each logic execution sub-plan to the corresponding processing node according to the first physical execution plan; the processing node processes the corresponding logic execution sub-plan to obtain a query sub-result, and reports the processing sub-result layer by layer; and the service node gathers the received processing sub-results, generates a final query result and feeds the final query result back to the user.

Description

technical field

[0001] The present disclosure relates to the technical field of the Internet of Things and the field of cloud computing, and in particular to a query processing method, a query processing system, a server, and a computer-readable medium. Background technique

[0002] In the field of the Internet of Things, the importance of data to enterprises is immeasurable. By mining the value behind the data, we can analyze the past, monitor the present and make decisions about the future. In this process, an important link is data query.

[0003] The data types in the field of the Internet of Things are diversified, and the amount of data is massive. The query scenarios cover the On-Line Analysis Processing (OLAP) scale query business and the On-Line Transaction Processing (OLTP) scale query business. However, it is difficult for existing data query engines to support OLAP-scale query services and OLTP-scale query services at the same time, that is, existing data query ...

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