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Data query method and device, storage medium and electronic equipment

A data query and data source technology, applied in the data field, can solve problems such as increasing the cost of use and affecting the efficiency of OLAP, and achieve the effect of reducing the cost of use, improving the efficiency, and improving the efficiency of data query.

Pending Publication Date: 2021-11-26
BEIJING VOLCANO ENGINE TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the architectures of various computing engines are different. When using multiple heterogeneous computing engines, users are required to master different engine usage skills, including SQL (Structured Query Language, Structured Query Language) syntax, function definition, and parameter tuning. For example, when users use the Presto engine, they need to write SQL according to the syntax specification of the Presto engine, while when using the Spark engine, they need to write SQL according to the syntax specification of the Spark engine, which greatly increases the user's cost in the data query process , thus affecting OLAP efficiency

Method used

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  • Data query method and device, storage medium and electronic equipment
  • Data query method and device, storage medium and electronic equipment
  • Data query method and device, storage medium and electronic equipment

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Embodiment Construction

[0026] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the drawings, it should be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein; A more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for exemplary purposes only, and are not intended to limit the protection scope of the present disclosure.

[0027] It should be understood that the various steps described in the method implementations of the present disclosure may be executed in different orders, and / or executed in parallel. Additionally, method embodiments may include additional steps and / or omit performing illustrated steps. The scope of the present disclosure is not limited in this respect. ...

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Abstract

The invention relates to a data query method and device, a storage medium and electronic equipment. The invention aims to reduce the use cost of a user in a data query process and improve data query efficiency. The method comprises the steps of acquiring a structured query language statement determined based on a unified structured query language standard; determining query features corresponding to the structured query language statement, wherein the query features are used for representing query semantics of the structured query language statement; according to the query characteristics of the structured query language statement, determining a target calculation engine in a plurality of calculation engines, and converting the structured query language statement into a target data query statement which can be executed by the target calculation engine; and executing the target data query statement through the target calculation engine.

Description

technical field [0001] The present disclosure relates to the field of data technology, and in particular, to a data query method, device, storage medium and electronic equipment. Background technique [0002] OLAP (Online Analytical Processing, Online Analytical Processing) is online data access and analysis for specific problems. The goal of OLAP is to meet the specific query and report requirements of decision support or multi-dimensional environment. [0003] In related technologies, in the OLAP process, data may first be obtained from a data source through a computing engine for analysis. However, the architectures of various computing engines are different. When using multiple heterogeneous computing engines, users are required to master different engine usage skills, including SQL (Structured Query Language, Structured Query Language) syntax, function definition, and parameter tuning. For example, when users use the Presto engine, they need to write SQL according to t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/242G06F16/2455
CPCG06F16/2433G06F16/2455
Inventor 孙科韩帅郭俊
Owner BEIJING VOLCANO ENGINE TECH CO LTD
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