Method and module for data asynchronous processing with synchronous information callback function

Abstract

The invention discloses a method and module for data asynchronous processing with a synchronous information callback function and relates to the field of asynchronous data processing. The method comprises the steps that a thread pool with a designated maximum thread quantity is established, a priority is added to a thread of each asynchronous data processing task, and the threads are added into the pool; when the threads in the pool are started, information executed by the asynchronous data processing task corresponding to the current thread is returned; time counting is started for the current thread according to a preset time counting cycle; the pool is used to call the current thread to start working, and stack information during abnormity occurrence is determined and returned when an abnormity takes place during work of the current thread; and whether the current thread is completed is detected at scheduled time. According to the invention, the running quantity of the multiple threads can be controlled, and whether execution of the threads is completed is detected at scheduled time; and execution states of the asynchronous data processing tasks can be known, occupied resources of a CPU and consumed electric energy are reduced, and system performance can be ensured.

Description

technical field [0001] The invention relates to the field of asynchronous data processing, in particular to a data asynchronous processing method and module with a synchronous callback information function. Background technique [0002] Usually in the Android application development process, the function of asynchronous data processing is often used; since the Android UI (User Interface, user interface) interface is working on the main thread, if some very time-consuming work is not used asynchronously If it is processed directly in the main thread, it will cause the Android system APP to freeze, and even an abnormal error of ANR (Application Not Responding, application not responding) will appear in severe cases. [0003] At present, the existing Android-based asynchronous data processing method is generally as follows: each time a new task is started, a new thread will be started (a thread is a single sequential control flow in the program, and it is a relatively independe...

AI Technical Summary

Problems solved by technology

However, when there are many asynchronous data processing tasks, enabling and recycling multi-threading will reduce the performance of the system, and the above method cannot provide feedback on the execution status of asynchronous tasks; since many logics in development need to be processed synchronously, feedback on asynchronous tasks The execution state and processing structure of the

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