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A Method of Improving the Efficiency of Multi-Table Join Query in Online Aggregation

A connection query and multi-table query technology, which is applied in the field of improving the efficiency of multi-table connection query in online aggregation, can solve the problems of low efficiency of multi-table connection query, achieve the effect of reducing the number of iterations and improving execution efficiency

Active Publication Date: 2021-10-01
SOUTHEAST UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for improving the efficiency of multi-table join query in online aggregation, and solve the problem of low efficiency of multi-table join query by means of query index

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  • A Method of Improving the Efficiency of Multi-Table Join Query in Online Aggregation
  • A Method of Improving the Efficiency of Multi-Table Join Query in Online Aggregation
  • A Method of Improving the Efficiency of Multi-Table Join Query in Online Aggregation

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Embodiment Construction

[0036] The present invention will be further illustrated below in conjunction with specific embodiments, and it should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0037] A method for improving the efficiency of multi-table join query in online aggregation, the method includes the following steps:

[0038] Step S1: Build an index module, select an appropriate connection attribute from the multi-table query of historical records through a mixed integer linear programming model, and establish an index for the selected connection attribute;

[0039] Step S2: According to the index created in step 1, design a multi-table join query algorithm Index Ripple Join;

[0040] Step S3: Use the central limit theorem to perform interval estimation on the collected samples, so as to obtain the confidence interval of the multi-table join query.

[0041] Further, the ...

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Abstract

The invention discloses a method for improving the query efficiency of multi-table connection in online aggregation. The present invention includes step S1: building an index module, selecting a suitable connection attribute from the multi-table query of historical records through a mixed integer linear programming model, and building an index for the selected connection attribute; step S2: according to the index created in step 1, design Multi-table join query algorithm Index Ripple Join; Step S3: Use the central limit theorem to perform interval estimation on the collected samples, so as to obtain the multi-table join query confidence interval. The invention can effectively improve the efficiency of multi-table join query in online aggregation.

Description

Technical field: [0001] The invention relates to a method for improving the query efficiency of multi-table connection in online aggregation, and in particular to a method for improving the efficiency of multi-table connection query in online aggregation by obtaining tuples meeting connection conditions by searching indexes. Background technique: [0002] With the application and popularization of social networks, Internet of Things, e-commerce, etc., the data generated in today's information age has experienced explosive growth compared with ten years ago. Enterprises, government agencies, and scientific research institutions generate a huge amount of data every day. Taobao generates 7T of data every day, and Baidu needs to process 100PB of data every day. How to process such large-scale data to mine useful information is a problem that major companies and institutions need to solve. Online aggregation can improve the speed of SQL query because it does not need to scan the...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2453G06F16/2455
Inventor 宋爱波贡欢
Owner SOUTHEAST UNIV
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