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Data processing method and device

A data processing and database technology, applied in the computer field, can solve problems such as affecting user experience, slow data query, unserviceability, etc., to achieve the effect of improving query experience

Active Publication Date: 2021-08-24
ALIBABA CLOUD COMPUTING LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

An unreasonable parallelism setting will not only affect the user experience, but may also lead to serious consequences, for example: a very small parallelism setting will lead to slow data query; a very large parallelism setting will exhaust resources and cause unavailability. Serve

Method used

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Embodiment Construction

[0024] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the specification. However, this specification can be implemented in many other ways different from those described here, and those skilled in the art can make similar extensions without violating the connotation of this specification, so this specification is not limited by the specific implementations disclosed below.

[0025] Terms used in one or more embodiments of this specification are for the purpose of describing specific embodiments only, and are not intended to limit one or more embodiments of this specification. As used in one or more embodiments of this specification and the appended claims, the singular forms "a", "the", and "the" are also intended to include the plural forms unless the context clearly dictates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of the present specification refers t...

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Abstract

The embodiment of the invention provides a data processing method and device, and the method comprises the steps: determining at least two query templates corresponding to historical query records in a historical database, and determining an initial query record corresponding to each query template from a backup database; obtaining an average cpu occupancy rate and query time consumption of the initial query record under a preset degree of parallelism, and calculating an evaluation function corresponding to each query template according to the average cpu occupancy rate and query time consumption of the initial query record under the preset degree of parallelism through a preset algorithm; determining loss values of the at least two query templates based on the evaluation function corresponding to each query template and historical query records of the at least two query templates in the historical database under different degrees of parallelism; and determining a target parallelism degree corresponding to each query template in the at least two query templates on the basis of the loss value, so that the query speed can be improved during data query, and the situation of resource exhaustion can be avoided.

Description

technical field [0001] The embodiments of this specification relate to the field of computer technology, and in particular to a data processing method. Background technique [0002] During data processing, the setting of the parallelism degree of parallel processing will directly affect the computing speed and resource consumption. An unreasonable parallelism setting will not only affect the user experience, but may also lead to serious consequences, for example: a very small parallelism setting will lead to slow data query; a very large parallelism setting will exhaust resources and cause unavailability. Serve. Therefore, it is urgent to provide a data processing method that can not only increase the speed of data query, but also avoid the parallelism of resource exhaustion as much as possible. Contents of the invention [0003] In view of this, the embodiment of this specification provides the field of computer technology, and in particular relates to a data processing...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50G06F16/2453
CPCG06F9/5027G06F16/2453
Inventor 林炳辰李飞飞
Owner ALIBABA CLOUD COMPUTING LTD