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Query method and query system based on general query language

A general query and query method technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as limitations of optimization effects

Pending Publication Date: 2020-11-27
HANGZHOU SHUYUN INFORMATION TECH CO LTD
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

Existing big data query engines each have their own implementation methods for data query performance optimization, and each has its own focus. As a result, a query engine can only optimize for the scenarios it cares about. performance optimization, the optimization effect has limitations

Method used

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  • Query method and query system based on general query language

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Embodiment Construction

[0027] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0028] A query method based on a general query language, comprising the following steps:

[0029] S1. Analyze the structured query, convert the query content into a relational algebra expression, and obtain the query characteristics of the relational algebra expression by analyzing the relational algebra expression;

[0030] S2. Match the characteristics of the query engine with the query characteristics of the obtained relational algebra expression, calculate the cost required by each query engine to satisfy the query characteristics, and select the query engine with the smallest cost;

[0031] S3. After selecting the query engine, optimize the relational algebra expressions by using the query optimization rules bound to the query engine, and at the same time, perform query optimization for the query features that differ between the ...

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Abstract

The invention provides a query method and a query system based on a general query language, and belongs to the technical field of query engines. The method comprises: converting query content into a relational algebra expression, and obtaining query features of the relational algebra expression by analyzing the relational algebra expression; matching the query engine features with the query features, calculating the cost required by each query engine for meeting the query features, and selecting the query engine with the minimum cost; performing query optimization on the relational algebraic expression by using a query optimization rule bound with a query engine, and performing related query feature rewriting at the same time; calling a specific query engine adaptation service for the rewritten query features, converting the query features into a query language of a target engine, and submitting the target query language to the query engine for query to obtain a query result; and writing the query result into an external storage module, notifying a user that the query is finished, and acquiring the query result by the user through access connection.

Description

technical field [0001] The invention belongs to the technical field of query engines, and in particular relates to a query method and a query system based on a general query language. Background technique [0002] With the rapid development of big data technology, traditional data query methods can no longer meet the requirements for data query performance under massive data. As a result, various data query engines based on big data architectures have emerged, such as ElasticSearch, HIVE, and NoSQL. [0003] This type of professional big data query engine plays a very important role in solving the performance of big data query, and solves the problem of big data query performance to a certain extent. However, different query engines focus on different problems to be solved, so in different scenarios, different query engines have different advantages. Existing big data query engines each have their own implementation methods for data query performance optimization, and each...

Claims

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Application Information

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IPC IPC(8): G06F16/242G06F16/2453
CPCG06F16/2433G06F16/2453
Inventor 郭祖凯秦建伟
Owner HANGZHOU SHUYUN INFORMATION TECH CO LTD
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