CN117395310A

CN117395310A - Task processing method, device, computer equipment and storage medium

Info

Publication number: CN117395310A
Application number: CN202311348618.2A
Authority: CN
Inventors: 严祖辉
Original assignee: Ping An Property and Casualty Insurance Company of China Ltd
Current assignee: Ping An Property and Casualty Insurance Company of China Ltd
Priority date: 2023-10-17
Filing date: 2023-10-17
Publication date: 2024-01-12

Abstract

The application belongs to the field of big data and the field of financial science and technology, and relates to a task processing method, which comprises the following steps: acquiring a service task; judging whether the business task is a task conforming to a preset task category; if yes, adjusting the business task based on the task adjustment rule to obtain a target task; acquiring a target REDIS node and a target channel matched with a target task; issuing a target task into a target channel through a target REDIS node; and monitoring the execution process of the target task executed by the target consumer after the target consumer subscribed to the target channel monitors the target task. The application also provides a task processing device, computer equipment and a storage medium. Furthermore, the target tasks of the present application may be stored in a blockchain. The method and the device can be applied to task processing scenes in the financial field, performance problems can not exist by executing tasks through REDIS, extra complexity of an application system can not be improved, and automatic monitoring of a task execution process is realized.

Description

Task processing method, device, computer equipment and storage medium

Technical Field

The present application relates to the field of artificial intelligence development technology and financial technology, and in particular, to a task processing method, device, computer equipment, and storage medium.

Background

With the increasing scale of finance and technology companies, such as insurance companies and banks, the field in which finance and technology companies are engaged is expanding, and the types of business task processing of finance and technology companies are increasing, how to implement efficient operation of business tasks in this case has a great influence on the business task processing cost of finance and technology companies.

The existing business task processing of a finance and technology company generally adopts a task processing mode based on zookeeper or mysql, and the two modes have the problems of weaker performance and higher complexity, and can not realize automatic monitoring of the task execution process, so that the processing intelligence is lower.

Disclosure of Invention

An object of the embodiments of the present application is to provide a task processing method, device, computer equipment, and storage medium, so as to solve the problems of weak performance and high complexity in the existing business task processing manner of the finance and technology company, and the technical problem of low intelligence in processing can not be achieved by automatically monitoring the task execution process.

In order to solve the above technical problems, the embodiments of the present application provide a task processing method, which adopts the following technical schemes:

acquiring a business task to be processed;

judging whether the business task is a task conforming to a preset task category;

if yes, adjusting the business task based on a task adjusting rule corresponding to the task category to obtain a corresponding target task;

acquiring a target REDIS node and a target channel matched with the target task;

issuing the target task into the target channel through the target REDIS node;

after a target consumer corresponding to the target channel subscribes to monitor the target task, monitoring the execution process of the target task executed by the target consumer based on a preset monitor.

Further, the step of adjusting the business task based on the task adjustment rule corresponding to the task category to obtain a corresponding target task specifically includes:

if the task class is a first task class, adjusting the business task based on a first task adjustment rule corresponding to the first task class to obtain a first task;

Taking the first task as the target task;

if the task category is a second task category, adjusting the business task based on a second task adjustment rule corresponding to the second task category to obtain a second task;

and taking the second task as the target task.

Further, the step of obtaining the target REDIS node and the target channel matched with the target task specifically includes:

acquiring preset associated task configuration data;

acquiring a designated task identifier of the target task;

inquiring the associated task configuration data based on the designated task identifier, and inquiring a designated REDIS node and a designated channel associated with the designated task identifier from the associated task configuration data;

taking the designated REDIS node as the target REDIS node;

and taking the designated channel as the target channel.

Further, the step of issuing, by the target REDIS node, the target task into the target channel specifically includes:

acquiring the current working state of the target REDIS node;

judging whether the working state accords with a preset abnormal state or not;

If the working state does not accord with the abnormal state, issuing the target task into the target channel through the target REDIS node;

if the working state accords with the abnormal state, calling a preset standby REDIS node;

and issuing the target task into the target channel through the standby REDIS node.

Further, the step of obtaining the current working state of the target REDIS node specifically includes:

calling a preset REDIS visual billboard;

acquiring node identification information of the target REDIS node;

and carrying out data query on the REDIS visual billboard based on the node identification information so as to query the current working state of the target REDIS node from the REDIS visual billboard.

Further, before the step of obtaining the target REDIS node and the target channel matched with the target task, the method further includes:

acquiring node information of REDIS nodes to be bound;

based on the node information, binding the REDIS node to be bound;

registering a preset channel monitor;

acquiring preset consumer information;

and registering the consumer corresponding to the consumer.

Further, after the step of monitoring the execution process of the target task executed by the target consumer based on the preset monitor after the target consumer corresponding to the target channel subscribes to the target task, the method further includes:

acquiring an execution result of the target task;

judging whether the execution result is an execution failure or not;

if yes, collecting task execution data generated by the target consumer in the execution process of executing the target task;

judging whether the target task accords with a preset task retry condition or not based on the task execution data;

and if the task retry condition is met, carrying out retry processing on the target task.

In order to solve the above technical problems, the embodiments of the present application further provide a task processing device, which adopts the following technical schemes:

the first acquisition module is used for acquiring a business task to be processed;

the first judging module is used for judging whether the business task is a task conforming to a preset task category;

the adjustment module is used for adjusting the business task based on the task adjustment rule corresponding to the task category if so, so as to obtain a corresponding target task;

The second acquisition module is used for acquiring a target REDIS node and a target channel matched with the target task;

the issuing module is used for issuing the target task into the target channel through the target REDIS node;

and the monitoring module is used for monitoring the execution process of the target task executed by the target consumer based on a preset monitor after the target consumer corresponding to the target channel subscribes to the target task.

In order to solve the above technical problems, the embodiments of the present application further provide a computer device, which adopts the following technical schemes:

acquiring a business task to be processed;

issuing the target task into the target channel through the target REDIS node;

In order to solve the above technical problems, embodiments of the present application further provide a computer readable storage medium, which adopts the following technical solutions:

acquiring a business task to be processed;

issuing the target task into the target channel through the target REDIS node;

Compared with the prior art, the embodiment of the application has the following main beneficial effects:

firstly, acquiring a business task to be processed; then judging whether the business task is a task conforming to a preset task category; if yes, adjusting the business task based on a task adjusting rule corresponding to the task category to obtain a corresponding target task; then, a target REDIS node and a target channel matched with the target task are obtained; subsequently, the target task is issued into the target channel through the target REDIS node; and finally, after a target consumer corresponding to the target channel subscribes to monitor the target task, monitoring the execution process of the target task executed by the target consumer based on a preset monitor. When the business task to be processed is acquired, if the business task is detected to be the task conforming to the preset task category, the business task is intelligently adjusted by utilizing the task adjustment rule to obtain the target task conforming to the corresponding task category, so that when a subsequent target consumer executes the target task, the processing efficiency of the task processing can be effectively improved, the accuracy of the task processing is ensured, and the situation that the same task is repeatedly executed is avoided. And then controlling a target consumer subscribed to the target channel to execute the target task based on the use of the target REDIS node and the target channel, wherein performance problems are avoided and the additional complexity of the application system is not improved by using REDIS to execute the task. And subsequently, monitoring the execution process of the target task executed by the target consumer based on a preset monitor so as to realize automatic monitoring of the execution process of the target task, thereby improving the monitoring intelligence of the execution condition of the target task.

Drawings

For a clearer description of the solution in the present application, a brief description will be given below of the drawings that are needed in the description of the embodiments of the present application, it being obvious that the drawings in the following description are some embodiments of the present application, and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.

FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;

FIG. 2 is a flow chart of one embodiment of a task processing method according to the present application;

FIG. 3 is a schematic diagram of a structure of one embodiment of a task processing device according to the present application;

FIG. 4 is a schematic structural diagram of one embodiment of a computer device according to the present application.

Detailed Description

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the applications herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description and claims of the present application and in the description of the figures above are intended to cover non-exclusive inclusions. The terms first, second and the like in the description and in the claims or in the above-described figures, are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

In order to better understand the technical solutions of the present application, the following description will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings.

As shown in fig. 1, a system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

The user may interact with the server 105 via the network 104 using the terminal devices 101, 102, 103 to receive or send messages or the like. Various communication client applications, such as a web browser application, a shopping class application, a search class application, an instant messaging tool, a mailbox client, social platform software, etc., may be installed on the terminal devices 101, 102, 103.

The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablet computers, electronic book readers, MP3 players (Moving Picture Experts Group Audio Layer III, dynamic video expert compression standard audio plane 3), MP4 (Moving Picture ExpertsGroup Audio Layer IV, dynamic video expert compression standard audio plane 4) players, laptop and desktop computers, and the like.

The server 105 may be a server providing various services, such as a background server providing support for pages displayed on the terminal devices 101, 102, 103.

It should be noted that, the task processing method provided in the embodiments of the present application is generally executed by a server/terminal device, and accordingly, the task processing device is generally disposed in the server/terminal device.

It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

With continued reference to FIG. 2, a flow chart of one embodiment of a task processing method according to the present application is shown. The order of the steps in the flowchart may be changed and some steps may be omitted according to various needs. The task processing method provided by the embodiment of the application can be applied to any scene needing to process business tasks, and the task processing method can be applied to products of the scenes, such as financial business task processing in the field of financial insurance. The task processing method comprises the following steps:

Step S201, a service task to be processed is acquired.

In this embodiment, the electronic device (e.g., the server/terminal device shown in fig. 1) on which the task processing method operates may acquire the service task to be processed through a wired connection manner or a wireless connection manner. The execution subject of the task processing method may specifically be an application system in the electronic device. In the application scenario of the financial technology, the application system may include any one of an insurance system, a banking system, a transaction system, and an order system. It should be noted that the wireless connection may include, but is not limited to, 3G/4G/5G connection, wiFi connection, bluetooth connection, wiMAX connection, zigbee connection, UWB (ultra wideband) connection, and other now known or later developed wireless connection. In the application scenario of financial technology, the business tasks to be processed may include transaction tasks, payment tasks, loan tasks, insurance product recommendation tasks, and so on.

Step S202, judging whether the business task is a task conforming to a preset task category.

In this embodiment, the task category may include a category related to data change in the business logic of the task or related to a large batch of tasks in the business logic.

And step S203, if yes, adjusting the business task based on a task adjusting rule corresponding to the task category to obtain a corresponding target task.

In this embodiment, the foregoing adjustment processing is performed on the service task based on the task adjustment rule corresponding to the task category, so as to obtain a specific implementation process of the corresponding target task, which will be described in further detail in the subsequent specific embodiments, which will not be described herein.

Step S204, a target REDIS node and a target channel matched with the target task are obtained.

In this embodiment, the above specific implementation process of obtaining the target REDIS node and the target channel that match the target task will be described in further detail in the following specific embodiments, which will not be described herein.

Step S205, issuing, by the target REDIS node, the target task into the target channel.

In this embodiment, the above-mentioned implementation process of publishing the target task to the target channel through the target REDIS node will be described in further detail in the following embodiments, which will not be described herein.

Step S206, after the target consumer corresponding to the target channel is subscribed to monitor the target task, monitoring the execution process of the target task executed by the target consumer based on a preset monitor.

In this embodiment, the target consumer may specifically be a server subscribed to the target channel. The monitor is specifically a channel monitor corresponding to the target channel, and through the use of the channel monitor, the execution process of the target task executed by the target consumer can be monitored, so that the corresponding record can be carried out on the process of the target task executed by the target consumer, and the task record can be obtained. The task record may include the following data: the method comprises the steps of flow record, task ID, task state, task progress, task initial parameters, task retry parameters, execution results, execution server IP, creator and updater.

Firstly, acquiring a service task to be processed; then judging whether the business task is a task conforming to a preset task category; if yes, adjusting the business task based on a task adjusting rule corresponding to the task category to obtain a corresponding target task; then, a target REDIS node and a target channel matched with the target task are obtained; subsequently, the target task is issued into the target channel through the target REDIS node; and finally, after a target consumer corresponding to the target channel subscribes to monitor the target task, monitoring the execution process of the target task executed by the target consumer based on a preset monitor. When the business task to be processed is acquired, if the business task is detected to be the task conforming to the preset task category, the business task is intelligently adjusted by utilizing the task adjustment rule to obtain the target task conforming to the corresponding task category, so that when a subsequent target consumer executes the target task, the processing efficiency of the task processing can be effectively improved, the accuracy of the task processing is ensured, and the situation that the same task is repeatedly executed is avoided. And then controlling a target consumer subscribed to the target channel to execute the target task based on the use of the target REDIS node and the target channel, wherein performance problems are avoided and the additional complexity of the application system is not improved by using REDIS to execute the task. And subsequently, monitoring the execution process of the target task executed by the target consumer based on a preset monitor so as to realize automatic monitoring of the execution process of the target task, thereby improving the monitoring intelligence of the execution condition of the target task.

In some alternative implementations, step S203 includes the steps of:

and if the task class is the first task class, adjusting the business task based on a first task adjustment rule corresponding to the first task class to obtain a first task.

In this embodiment, when the data change is related to the service logic of the task in the first task category, the corresponding first task adjustment rule is a uniqueness rule, that is, the uniqueness of the service task is controlled by performing idempotent processing and adding a distributed lock to the service task, so as to obtain the first task.

And taking the first task as the target task.

And if the task category is a second task category, adjusting the business task based on a second task adjustment rule corresponding to the second task category to obtain a second task.

In this embodiment, the second task category specifically refers to a business logic of a task involving a large number of tasks, and the corresponding second task adjustment rule is a slicing processing rule, that is, a slicing logic processing is adopted for the business task to obtain the second task.

And taking the second task as the target task.

If the task category is detected to be the first task category, the business task is adjusted based on a first task adjustment rule corresponding to the first task category, so that a first task is obtained; then taking the first task as the target task; if the task category is detected to be the second task category, adjusting the business task based on a second task adjustment rule corresponding to the second task category to obtain a second task; and taking the second task as the target task. According to the method and the device for processing the task, before task release and monitoring are carried out, task analysis is carried out on the service task intelligently, if the service task is detected to be the task conforming to the preset task category, the service task is intelligently adjusted and processed based on the task adjusting rule corresponding to the task category, so that the target task conforming to the corresponding task category is obtained, when a subsequent target consumer carries out execution processing on the target task, the processing efficiency of task processing can be effectively improved, the accuracy of task processing is guaranteed, and the situation that the same task is repeatedly executed is avoided.

In some alternative implementations of the present embodiment, step S204 includes the steps of:

And acquiring preset associated task configuration data.

In this embodiment, the associated task configuration data is generated by performing configuration according to actual task configuration requirements. Specifically, the associated task configuration data is obtained by processing associated configuration data of tasks according to preconfigured REDIS node data, subscription channel information and task information. Wherein REDIS node data can comprise addresses, configuration tasks, associated service numbers; the subscription channel information may include a channel ID, a channel type, and a channel transport object; the task information may include: task ID, task parameter template, creator, updater. The content of the obtained associated task configuration data may include: the configuration ID, the task ID, the associated REDIS node and the associated channel have one-to-one association relation.

And acquiring the designated task identification of the target task.

In this embodiment, the task identifier of the target task refers to a task ID of the target task, and the task ID of the target task may be obtained by obtaining the task identifier of the target task.

And carrying out query processing on the associated task configuration data based on the designated task identifier, and querying a designated REDIS node and a designated channel associated with the designated task identifier from the associated task configuration data.

In this embodiment, the specific task ID identical to the specific task identifier may be first screened from the associated task configuration data, and then the specific REDIS node and the specific channel associated with the specific task identifier may be queried from the associated task configuration data.

And taking the designated REDIS node as the target REDIS node.

And taking the designated channel as the target channel.

The method comprises the steps of obtaining preset associated task configuration data; then acquiring a designated task identifier of the target task; then, inquiring the associated task configuration data based on the assigned task identifier, and inquiring an assigned REDIS node and an assigned channel associated with the assigned task identifier from the associated task configuration data; subsequently taking the designated REDIS node as the target REDIS node and taking the designated channel as the target channel. According to the method and the device, the obtained designated task identifier of the target task is used for inquiring the preset associated task configuration data, so that the target REDIS node and the target channel associated with the designated task identifier can be inquired out from the associated task configuration data quickly and accurately, the acquisition efficiency of the target REDIS node and the target channel is improved, and the follow-up execution and monitoring processing of the target task based on the use of the target REDIS node and the target channel can be realized.

In some alternative implementations, step S205 includes the steps of:

and acquiring the current working state of the target REDIS node.

In this embodiment, the above specific implementation process of obtaining the current working state of the target REDIS node will be described in further detail in the following specific embodiments, which will not be described herein.

And judging whether the working state accords with a preset abnormal state or not.

In this embodiment, the abnormal state may include a REDIS cache breakdown or REDIS cache downtime.

And if the working state does not accord with the abnormal state, issuing the target task into the target channel through the target REDIS node.

In this embodiment, if the working state does not conform to the abnormal state, it indicates that the target REDIS node is currently in a normal operating state, so that the target task may be issued into the target channel directly through the target REDIS node.

And if the working state accords with the abnormal state, calling a preset standby REDIS node.

In this embodiment, if the working state accords with the abnormal state, it indicates that the target REDIS node is currently in the abnormal working state. The standby REDIS node is a REDIS node which is constructed in advance and used for executing task transfer processing related to the abnormal REDIS node.

In this embodiment, the standby REDIS node is used to issue the target task into the target channel, so as to ensure normal execution of the target task.

The current working state of the target REDIS node is obtained; then judging whether the working state accords with a preset abnormal state or not; if the working state does not accord with the abnormal state, issuing the target task into the target channel through the target REDIS node; if the working state accords with the abnormal state, calling a preset standby REDIS node; and then, the target task is issued into the target channel through the standby REDIS node. According to the method and the device, the current working state of the target REDIS node is obtained, if the working state is detected to be in accordance with the abnormal state, the preset standby REDIS node is called to issue the target task into the target channel, so that task transfer processing related to the abnormal REDIS node is conducted, and normal execution of the target task is ensured.

In some optional implementations, the obtaining the current working state of the target REDIS node includes the following steps:

Calling a preset REDIS visual billboard.

In this embodiment, the REDIS visual sign is a pre-constructed visual panel for visually displaying the health status and execution condition of each REDIS node. In addition, a task visual billboard is also constructed, and the task visual billboard is used for visually displaying the running state and the execution condition of each task and is used for visually displaying the health state and the execution condition of an application system.

And acquiring node identification information of the target REDIS node.

In this embodiment, the node identification information of the target REDIS node refers to a node ID of the target REDIS node, and the node identification information of the target REDIS node may be obtained by obtaining the node ID of the target REDIS node.

In this embodiment, the specified node ID identical to the node identification information may be screened out from the REDIS visual billboard, and then the current working state of the target REDIS node associated with the specified node ID may be queried out from the REDIS visual billboard.

The method comprises the steps of calling a preset REDIS visual billboard; then obtaining node identification information of the target REDIS node; and then, carrying out data query on the REDIS visual billboard based on the node identification information so as to query the current working state of the target REDIS node from the REDIS visual billboard. According to the method and the device, the obtained node identification information of the target REDIS node is used for inquiring the preset REDIS visual billboard, so that the current working state of the target REDIS node can be quickly and accurately inquired from the REDIS visual billboard, the obtaining efficiency of the current working state of the target REDIS node is improved, the follow-up accurate release processing of the target task based on the current working state of the target REDIS node is facilitated, and the smooth completion of release of the target task is ensured.

In some optional implementations of this embodiment, before step S204, the electronic device may further perform the following steps:

node information of REDIS nodes to be bound is obtained.

In this embodiment, the REDIS node to be bound is a REDIS node prepared according to an actual service usage requirement and used for binding with an application system, and the node information refers to a node ID of the REDIS node, where the node ID is used to identify the REDIS node.

And based on the node information, binding the REDIS node to be bound.

In this embodiment, the REDIS node to be bound corresponding to the node information may be obtained, so that the REDIS node to be bound and the application system may be bound, so that the task publishing function of the REDIS node may be used subsequently. If the number of tasks to be processed is excessive, REDIS nodes can be bound again (i.e. a plurality of REDIS nodes are newly added), and peak clipping and valley filling are performed, so that smooth execution of the tasks is ensured, and specific and normal execution efficiency of the tasks is ensured.

And registering the preset channel monitor.

In this embodiment, the channel listener is a listener for monitoring the task execution process of the consumer associated with the channel. The channel monitor is registered to enable the channel monitor to take effect on the monitoring function of the consumer.

And acquiring preset consumer information.

In the present embodiment, the above-described consumer information is identification information of a server for executing (consuming) a task issued in a channel, and may be, for example, a server ID. The REDIS nodes and the loads of the application system can be set according to the number of tasks and the number of channels, so that the CPU occupied by the tasks executed on each server can be balanced.

And registering the consumer corresponding to the consumer.

In this embodiment, the channel monitor is registered, so that the consumer can subscribe to the task in the channel and perform the corresponding task execution process.

The method comprises the steps of obtaining node information of REDIS nodes to be bound; then, based on the node information, binding the REDIS node to be bound; then registering the preset channel monitor; and obtaining preset consumer information later, and registering the consumer corresponding to the consumer. The method and the device realize the task release function by the REDIS node to be bound intelligently, realize the monitoring function for the consumer by the channel monitor and realize the function that the consumer can subscribe the tasks in the channel and perform corresponding task execution processing by carrying out binding processing on the REDIS node to be bound in advance, and carry out registration processing on the consumer corresponding to the consumer.

In some optional implementations of this embodiment, after step S206, the electronic device may further perform the following steps:

And acquiring an execution result of the target task.

In this embodiment, the execution result may include execution success or execution failure.

And judging whether the execution result is the execution failure or not.

If yes, collecting task execution data generated by the target consumer in the execution process of executing the target task.

In this embodiment, during the execution of the target task by the target consumer, the execution of the target task by the target consumer may be monitored in advance according to a monitor, and corresponding task execution data may be recorded.

And judging whether the target task accords with a preset task retry condition or not based on the task execution data.

In this embodiment, the task retry condition may refer to that the task service logic of the target task is not abnormal, and the data such as the CPU and the memory of the consumer corresponding to the target task are all normal numerical intervals.

The execution result of the target task is obtained; then judging whether the execution result is an execution failure or not; if yes, collecting task execution data generated by the target consumer in the execution process of executing the target task; subsequently, based on the task execution data, judging whether the target task accords with a preset task retry condition; and if the task retry condition is met, carrying out retry processing on the target task. According to the method and the device, the execution process of the target task executed by the target consumer is monitored by using the monitor, if the execution result of the target task is detected to be the execution failure, whether the target task meets the preset task retry condition or not is judged according to the acquired task execution data generated by the target consumer in the execution process of executing the target task, if the task retry condition is met, the target task is intelligently retried, so that the smooth completion of the execution flow of the target task is ensured, and the intelligence of task processing is improved.

It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.

It is emphasized that the target task may also be stored in a blockchain node in order to further ensure privacy and security of the target task.

The blockchain referred to in the application is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and the like. The Blockchain (Blockchain), which is essentially a decentralised database, is a string of data blocks that are generated by cryptographic means in association, each data block containing a batch of information of network transactions for verifying the validity of the information (anti-counterfeiting) and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, an application services layer, and the like.

The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.

Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and other directions.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by computer readable instructions stored in a computer readable storage medium that, when executed, may comprise the steps of the embodiments of the methods described above. The storage medium may be a nonvolatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a random access Memory (Random Access Memory, RAM).

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.

With further reference to fig. 3, as an implementation of the method shown in fig. 2, the present application provides an embodiment of a task processing device, where an embodiment of the device corresponds to the embodiment of the method shown in fig. 2, and the device may be specifically applied to various electronic devices.

As shown in fig. 3, the task processing device 300 according to the present embodiment includes: the system comprises a first acquisition module 301, a first judgment module 302, an adjustment module 303, a second acquisition module 304, a release module 305 and a monitoring module 306. Wherein:

a first obtaining module 301, configured to obtain a service task to be processed;

a first judging module 302, configured to judge whether the service task is a task that accords with a preset task class;

the adjustment module 303 is configured to, if yes, perform adjustment processing on the service task based on a task adjustment rule corresponding to the task category, so as to obtain a corresponding target task;

a second obtaining module 304, configured to obtain a target REDIS node and a target channel that are matched with the target task;

a publishing module 305, configured to publish, by the target REDIS node, the target task into the target channel;

and the monitoring module 306 is configured to monitor, based on a preset monitor, an execution process of the target task executed by the target consumer after the target consumer corresponding to the target channel subscribes to the target task.

In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the task processing method in the foregoing embodiment one by one, which is not described herein again.

In some alternative implementations of the present embodiment, the adjustment module 303 includes:

the first adjustment sub-module is used for adjusting the business task based on a first task adjustment rule corresponding to the first task category if the task category is the first task category, so as to obtain a first task;

a first determining submodule, configured to take the first task as the target task;

the second adjustment sub-module is used for adjusting the business task based on a second task adjustment rule corresponding to the second task category if the task category is the second task category, so as to obtain a second task;

and the second determining submodule is used for taking the second task as the target task.

In some optional implementations of this embodiment, the second obtaining module 304 includes:

The first acquisition sub-module is used for acquiring preset associated task configuration data;

the second acquisition sub-module is used for acquiring the appointed task identification of the target task;

the query sub-module is used for carrying out query processing on the associated task configuration data based on the designated task identifier, and querying a designated REDIS node and a designated channel associated with the designated task identifier from the associated task configuration data;

a third determining sub-module, configured to take the specified REDIS node as the target REDIS node;

and a fourth determining submodule, configured to take the specified channel as the target channel.

In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the task processing method in the foregoing embodiment one by one, and are not described herein again.

In some alternative implementations of the present embodiment, the publishing module 305 includes:

a third obtaining sub-module, configured to obtain a current working state of the target REDIS node;

the judging submodule is used for judging whether the working state accords with a preset abnormal state or not;

the first issuing submodule is used for issuing the target task into the target channel through the target REDIS node if the working state does not accord with the abnormal state;

A calling sub-module, configured to call a preset standby REDIS node if the working state accords with the abnormal state;

and the second issuing sub-module is used for issuing the target task into the target channel through the standby REDIS node.

In some optional implementations of this embodiment, the third acquisition submodule includes:

the calling unit is used for calling a preset REDIS visual billboard;

an obtaining unit, configured to obtain node identification information of the target REDIS node;

and the query unit is used for carrying out data query on the REDIS visual billboard based on the node identification information so as to query the current working state of the target REDIS node from the REDIS visual billboard.

In some optional implementations of this embodiment, the task processing device further includes:

A third obtaining module, configured to obtain node information of REDIS nodes to be bound;

the first processing module is used for carrying out binding processing on the REDIS nodes to be bound based on the node information;

the second processing module is used for registering a preset channel monitor;

a fourth acquisition module, configured to acquire preset consumer information;

and the third processing module is used for registering the consumer corresponding to the consumer.

a fifth obtaining module, configured to obtain an execution result of the target task;

the second judging module is used for judging whether the execution result is the execution failure or not;

the acquisition module is used for acquiring task execution data generated by the target consumer in the execution process of executing the target task if the target consumer is in the target task;

the third judging module is used for judging whether the target task accords with a preset task retry condition or not based on the task execution data;

And the fourth processing module is used for retrying the target task if the task retrying condition is met.

In order to solve the technical problems, the embodiment of the application also provides computer equipment. Referring specifically to fig. 4, fig. 4 is a basic structural block diagram of a computer device according to the present embodiment.

The computer device 4 comprises a memory 41, a processor 42, a network interface 43 communicatively connected to each other via a system bus. It should be noted that only computer device 4 having components 41-43 is shown in the figures, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may be implemented instead. It will be appreciated by those skilled in the art that the computer device herein is a device capable of automatically performing numerical calculations and/or information processing in accordance with predetermined or stored instructions, the hardware of which includes, but is not limited to, microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASICs), programmable gate arrays (fields-Programmable Gate Array, FPGAs), digital processors (Digital Signal Processor, DSPs), embedded devices, etc.

The computer equipment can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing equipment. The computer equipment can perform man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch pad or voice control equipment and the like.

The memory 41 includes at least one type of readable storage medium including flash memory, hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), random Access Memory (RAM), static Random Access Memory (SRAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), programmable Read Only Memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the storage 41 may be an internal storage unit of the computer device 4, such as a hard disk or a memory of the computer device 4. In other embodiments, the memory 41 may also be an external storage device of the computer device 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the computer device 4. Of course, the memory 41 may also comprise both an internal memory unit of the computer device 4 and an external memory device. In this embodiment, the memory 41 is typically used to store an operating system and various application software installed on the computer device 4, such as computer readable instructions of a task processing method, and the like. Further, the memory 41 may be used to temporarily store various types of data that have been output or are to be output.

The processor 42 may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 42 is typically used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is configured to execute computer readable instructions stored in the memory 41 or process data, such as computer readable instructions for executing the task processing method.

The network interface 43 may comprise a wireless network interface or a wired network interface, which network interface 43 is typically used for establishing a communication connection between the computer device 4 and other electronic devices.

in the embodiment of the application, firstly, a service task to be processed is acquired; then judging whether the business task is a task conforming to a preset task category; if yes, adjusting the business task based on a task adjusting rule corresponding to the task category to obtain a corresponding target task; then, a target REDIS node and a target channel matched with the target task are obtained; subsequently, the target task is issued into the target channel through the target REDIS node; and finally, after a target consumer corresponding to the target channel subscribes to monitor the target task, monitoring the execution process of the target task executed by the target consumer based on a preset monitor. When the business task to be processed is acquired, if the business task is detected to be the task conforming to the preset task category, the business task is intelligently adjusted by utilizing the task adjustment rule to obtain the target task conforming to the corresponding task category, so that when a subsequent target consumer executes the target task, the processing efficiency of the task processing can be effectively improved, the accuracy of the task processing is ensured, and the situation that the same task is repeatedly executed is avoided. And then controlling a target consumer subscribed to the target channel to execute the target task based on the use of the target REDIS node and the target channel, wherein performance problems are avoided and the additional complexity of the application system is not improved by using REDIS to execute the task. And subsequently, monitoring the execution process of the target task executed by the target consumer based on a preset monitor so as to realize automatic monitoring of the execution process of the target task, thereby improving the monitoring intelligence of the execution condition of the target task.

The present application also provides another embodiment, namely, a computer-readable storage medium storing computer-readable instructions executable by at least one processor to cause the at least one processor to perform the steps of the task processing method as described above.

From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk), comprising several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method described in the embodiments of the present application.

It is apparent that the embodiments described above are only some embodiments of the present application, but not all embodiments, the preferred embodiments of the present application are given in the drawings, but not limiting the patent scope of the present application. This application may be embodied in many different forms, but rather, embodiments are provided in order to provide a more thorough understanding of the present disclosure. Although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing, or equivalents may be substituted for elements thereof. All equivalent structures made by the specification and the drawings of the application are directly or indirectly applied to other related technical fields, and are also within the protection scope of the application.

Claims

1. A method of task processing comprising the steps of:

acquiring a business task to be processed;

issuing the target task into the target channel through the target REDIS node;

2. The task processing method according to claim 1, wherein the step of performing adjustment processing on the business task based on a task adjustment rule corresponding to the task category to obtain a corresponding target task specifically includes:

Taking the first task as the target task;

and taking the second task as the target task.

3. The task processing method according to claim 1, wherein the step of obtaining a target REDIS node and a target channel that match the target task specifically includes:

acquiring preset associated task configuration data;

acquiring a designated task identifier of the target task;

taking the designated REDIS node as the target REDIS node;

and taking the designated channel as the target channel.

4. The task processing method according to claim 1, wherein the step of issuing, by the target REDIS node, the target task into the target channel specifically includes:

Acquiring the current working state of the target REDIS node;

judging whether the working state accords with a preset abnormal state or not;

5. The task processing method according to claim 4, wherein the step of obtaining the current working state of the target REDIS node specifically includes:

calling a preset REDIS visual billboard;

acquiring node identification information of the target REDIS node;

6. The task processing method according to claim 1, further comprising, before the step of acquiring a target REDIS node and a target channel that match the target task:

Acquiring node information of REDIS nodes to be bound;

based on the node information, binding the REDIS node to be bound;

registering a preset channel monitor;

acquiring preset consumer information;

and registering the consumer corresponding to the consumer.

7. The task processing method according to claim 1, further comprising, after the step of monitoring, based on a preset listener, an execution process of the target task by the target consumer after the target consumer corresponding to the target channel listens to the target task:

acquiring an execution result of the target task;

judging whether the execution result is an execution failure or not;

8. A task processing device, comprising:

9. A computer device comprising a memory having stored therein computer readable instructions which when executed by a processor implement the steps of the task processing method of any of claims 1 to 7.

10. A computer readable storage medium having stored thereon computer readable instructions which when executed by a processor implement the steps of the task processing method according to any of claims 1 to 7.