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Target data acquisition method and device thereof, storage medium and electronic device

A technology of target data and acquisition method, applied in the computer field, can solve the problem of low flexibility of target data, and achieve the effect of improving the flexibility of acquisition, flexible acquisition, and low solution flexibility

Active Publication Date: 2021-04-23
QINGDAO HAIER TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a target data acquisition method, device, storage medium, and electronic device to at least solve the technical problem of low flexibility in target data acquisition

Method used

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  • Target data acquisition method and device thereof, storage medium and electronic device
  • Target data acquisition method and device thereof, storage medium and electronic device
  • Target data acquisition method and device thereof, storage medium and electronic device

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Embodiment Construction

[0022] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0023] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The invention discloses a target data acquisition method and a device thereof, a storage medium and an electronic device. The method comprises the steps that a target data query request is acquired, and the target data query request is used for requesting to acquire target data matched with a target main key value; under the condition that the target main key value comprises a first main key value, responding to the target data query request, obtaining a piece of cache data matched with the target main key value in the distributed system, and determining the piece of cache data as target data, wherein N pieces of cache data is stored in the distributed system, the N pieces of cache data comprises respective first main key values, and N is a positive integer greater than or equal to 2; and under the condition that the target main key value comprises the second main key value, responding to the target data query request, obtaining at least two pieces of cache data matched with the target main key value in the distributed system, and determining the cache data as target data according to the at least two pieces of cache data. According to the invention, the technical problem of low flexibility of target data acquisition is solved.

Description

technical field [0001] The present invention relates to the field of computers, in particular to a target data acquisition method, device, storage medium and electronic device. Background technique [0002] At this stage, more and more business scenarios require real-time data processing, and there are more and more real-time computing tasks. Among them, Spark and Flink, as excellent computing frameworks in the field of real-time computing, have been widely used. Early versions of real-time computing frameworks (such as Spark Streaming) only supported transformation operations on a single data stream, and did not support associated or aggregated calculations on real-time data streams. Recently, with the support of time window functions, new versions of real-time computing frameworks (such as Spark Structured Streaming and Flink) have realized the associated aggregation calculation of real-time data covered by time window functions. [0003] However, most existing real-time ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2455G06F16/27
Inventor 程殿虎
Owner QINGDAO HAIER TECH
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