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Asynchronous task processing method and device based on multiple threads, equipment and medium

A technology of asynchronous tasks and processing methods, applied in the direction of multi-program device, program synchronization, program control design, etc., can solve the problems of single table, single task type, and insufficient flexibility of data table configuration, so as to improve timeliness and guarantee The effect of high utilization rate and applicability

Active Publication Date: 2021-03-26
PING AN BANK CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The current data processing scheme can only be used for the task being processed, the configuration flexibility of the data table is insufficient, the table is relatively single, and the types of tasks in the table are also relatively single, which cannot be applied to the processing of all asynchronous tasks

Method used

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  • Asynchronous task processing method and device based on multiple threads, equipment and medium
  • Asynchronous task processing method and device based on multiple threads, equipment and medium
  • Asynchronous task processing method and device based on multiple threads, equipment and medium

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Embodiment Construction

[0066] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0067] Such as figure 1 Shown is a flow chart of a preferred embodiment of the multithread-based asynchronous task processing method of the present invention. According to different requirements, the order of the steps in the flowchart can be changed, and some steps can be omitted.

[0068] The multi-thread-based asynchronous task processing method is applied to one or more electronic devices, and the electronic device is a device that can automatically perform numerical calculation and / or information processing according to preset or stored instructions. Hardware includes but is not limited to microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable gate arrays (Field-Programmable Ga...

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Abstract

The invention relates to the field of data processing of big data, and provides a multi-threading-based asynchronous task processing method, device and equipment and a medium, which are stronger in applicability through flexible configuration of tables, and can configure different resources according to different scenes, ensure the maximum utilization rate of the resources, improve the timelinessof task processing and improve the efficiency of task processing. The asynchronous tasks in each task block are processed in parallel by utilizing the plurality of consumption threads, and the consumption threads correspond to each task block, so that the task amount processed by each consumption thread at a time is increased, the number of the consumption threads started in parallel is effectively reduced while a large number of asynchronous tasks are processed in a high-speed time-efficient manner. Concurrency of the database is reduced, safety and stability of the database are guaranteed, and processing of asynchronous tasks and updating of the processing state are achieved based on multiple threads. In addition, the invention also relates to a blockchain technology, and the involved data table can be stored in the blockchain node.

Description

technical field [0001] The present invention relates to the technical field of data processing of big data, in particular to a method, device, device and medium for asynchronous task processing based on multithreading. Background technique [0002] With the continuous development of big data technology, the amount of data processed is also increasing, and there will be many problems in the process of data processing, which are mainly reflected in the following aspects: [0003] 1. The amount of data processed. [0004] At present, the amount of data processed is still limited, and it cannot support tasks with a large amount of processing every day, nor can it normally process large batches of data on event days. [0005] 2. Timeliness of data. [0006] The current data processing method is usually limited by the processing capacity, and the data processing speed is relatively slow, so it cannot be applied to tasks with high timeliness requirements. [0007] 3. Concurrency...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/22G06F16/23G06F9/48G06F9/52
CPCG06F16/2282G06F16/2308G06F9/4881G06F9/524G06F9/485Y02D10/00
Inventor 刘攀伟
Owner PING AN BANK CO LTD
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