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
CN112559535AActive Publication Date: 2021-03-26PING AN BANK CO LTD

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
PING AN BANK CO LTD
Publication Date
2021-03-26

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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.
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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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