CN110442439B - Task process processing method and device and computer equipment - Google Patents
Task process processing method and device and computer equipment Download PDFInfo
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
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Abstract
The invention provides a task process processing method, a device and computer equipment, wherein the task process processing method comprises the following steps: analyzing the newly pushed task process, and performing step splitting processing on the task process to obtain a plurality of minimum granularity steps of the task process; matching the minimum granularity steps with a pre-established execution function table to obtain a plurality of execution functions corresponding to the minimum granularity steps; and inputting the execution parameters of the task process into a plurality of corresponding execution functions, and running the corresponding execution functions according to the sequence of the minimum granularity steps to obtain an output result of the task process. The task process processing method of the invention divides the task process into the minimum granularity step, and then utilizes the pre-established execution function to complete the minimum granularity step, so that the execution function can be repeatedly used in other task processes, thereby eliminating redundant codes of the task process and being easy to maintain.
Description
Technical Field
The invention relates to the technical field of software, in particular to a task process processing method, a task process processing device, a computer device and a computer storage medium.
Background
In the existing computer device, after receiving a new pushed task process, a multi-process processing mode is generally adopted to process the task process, each task process notifies a polling waiting task, or a task queue mode is adopted to process the task process, and the task process is written into the task queue, so as to poll data in the queue.
However, when a multi-process is adopted to process a task process, a high coupling condition is easily generated on a code of the task process, and the code is not easy to maintain. When the task queue is adopted, redundant code is excessive when the task processes contain the same execution steps.
Disclosure of Invention
In view of the above problems, the present invention provides a method, an apparatus, a computer device, and a computer storage medium for processing a task process, so as to eliminate redundant codes of the task process and facilitate maintenance.
In order to achieve the purpose, the invention adopts the following technical scheme:
a task process processing method comprises the following steps:
analyzing the newly pushed task process, and performing step splitting processing on the task process to obtain a plurality of minimum granularity steps of the task process;
matching the minimum granularity steps with a pre-established execution function table to obtain a plurality of execution functions corresponding to the minimum granularity steps;
and inputting the execution parameters of the task process into a plurality of corresponding execution functions, and running the corresponding execution functions according to the sequence of the minimum granularity steps to obtain an output result of the task process.
Preferably, in the task process processing method, the execution function is pre-established in a cache database, a task process related to the execution function is monitored by using a task message queue bus, and the execution function table is called to match the minimum granularity steps after the task process related to the execution function is monitored.
Preferably, in the task process processing method, a single process is used to perform step splitting processing on the task process.
Preferably, the task process processing method further includes:
after receiving the task process, generating a task ID unique to the task process;
the step of inputting the execution parameters of the task process into the corresponding multiple execution functions and running the corresponding multiple execution functions in the order of the multiple minimum granularity steps to obtain the output result of the task process includes:
determining the processing sequence of each execution parameter in the corresponding execution function according to the task ID;
and after the processing result of the execution parameter is obtained, taking the processing result as the output result, or sending the processing result as the execution parameter to a next execution function according to the sequence of the minimum granularity steps.
Preferably, the task process processing method further includes:
after obtaining the execution function, sequentially marking a plurality of execution parameters corresponding to the execution function to input the plurality of execution parameters according to the sequential marking.
Preferably, in the task process processing method, the task process is an asynchronous task process or a pre-marked synchronous task process.
The invention also provides a task process processing device, which comprises:
the task step splitting module is used for analyzing the newly pushed task process, and performing step splitting processing on the task process to obtain a plurality of minimum granularity steps of the task process;
the execution function acquisition module is used for matching the minimum granularity steps with a pre-established execution function table to obtain a plurality of execution functions corresponding to the minimum granularity steps;
and the execution function running module is used for inputting the execution parameters of the task process into the corresponding multiple execution functions, and running the corresponding multiple execution functions according to the sequence of the multiple minimum granularity steps to obtain the output result of the task process.
Preferably, the task process processing apparatus further includes:
the task ID generation module is used for generating a unique task ID of the task process after receiving the task process;
the execution function execution module comprises:
a processing sequence determining unit, configured to determine, according to the task ID, a sequence in which each of the execution parameters is processed in a corresponding execution function;
and the processing result transmission unit is used for taking the processing result as the output result after the processing result of the execution parameter is obtained, or sending the processing result as the execution parameter to a next execution function according to the sequence of the minimum granularity steps.
The invention also provides a computer device, which comprises a memory and a processor, wherein the memory is used for storing the computer program, and the processor runs the computer program to enable the computer device to execute the task process processing method.
The invention also provides a computer storage medium storing a computer program for use in the computer apparatus.
The invention provides a task process processing method, which comprises the following steps: analyzing the newly pushed task process, and performing step splitting processing on the task process to obtain a plurality of minimum granularity steps of the task process; matching the minimum granularity steps with a pre-established execution function table to obtain a plurality of execution functions corresponding to the minimum granularity steps; and inputting the execution parameters of the task process into a plurality of corresponding execution functions, and running the corresponding execution functions according to the sequence of the minimum granularity steps to obtain an output result of the task process. The task process processing method of the invention divides the task process into the minimum granularity step, and then utilizes the pre-established execution function to complete the minimum granularity step, so that the execution function can be repeatedly used in other task processes, thereby eliminating redundant codes of the task process and being easy to maintain.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings required to be used in the embodiments will be briefly described below, and it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope of the present invention. Like components are numbered similarly in the various figures.
Fig. 1 is a flowchart of a task process processing method provided in embodiment 1 of the present invention;
fig. 2 is a flowchart of execution function execution of a task process processing method according to embodiment 2 of the present invention;
fig. 3 is a flowchart of a task process processing method according to embodiment 3 of the present invention;
fig. 4 is a schematic structural diagram of a task process processing apparatus according to embodiment 4 of the present invention;
fig. 5 is a schematic structural diagram of an execution function execution module of a task process processing apparatus according to embodiment 4 of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Hereinafter, the terms "including", "having", and their derivatives, which may be used in various embodiments of the present invention, are only intended to indicate specific features, numbers, steps, operations, elements, components, or combinations of the foregoing, and should not be construed as first excluding the existence of, or adding to, one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.
Furthermore, the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of the present invention belong. The terms (such as those defined in commonly used dictionaries) should be interpreted as having a meaning that is consistent with their contextual meaning in the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein in various embodiments of the present invention.
Example 1
Fig. 1 is a flowchart of a task process processing method provided in embodiment 1 of the present invention, where the method includes the following steps:
step S11: analyzing the newly pushed task process, and carrying out step splitting processing on the task process to obtain a plurality of minimum granularity steps of the task process.
In the embodiment of the invention, when the computer equipment receives a newly pushed task process, the task process can be analyzed, wherein the task process is an asynchronous task process or a synchronous task process marked in advance, for example, the task process comprises an alarm processing task process, a mail sending task process and the like in the computer equipment.
In the embodiment of the present invention, the process of analyzing the task process may include obtaining a name of the task process, obtaining a computer resource to be used by the task process, searching an execution parameter required by the task process, and the like, so the process of analyzing the task process may be implemented by using an application program or an algorithm, which is not limited herein. And then, performing step splitting processing on the task process, namely splitting the task process to a step with the minimum granularity, namely subdividing the task to perform the required minimum step, for example, after an alarm at the home of a household generates an alarm, the computer equipment performs an alarm processing task, and the alarm processing task can be split into several execution steps with the minimum granularity, such as alarm information recording, alarm information real-time pushing, data statistics and the like.
In the embodiment of the present invention, the process of splitting the task process may also be implemented by an algorithm or an application program, for example, a task process step table may be pre-stored in the computing device, where the task process step table records in detail tag information of the task process, such as a name of the task process, and records in detail steps of the task process, and after the task process is analyzed to obtain the tag information of the task process, the computing device may match the obtained tag information with the task process step table by the algorithm or the application program to obtain detailed task process steps, and perform corresponding splitting according to the task process steps. Because the task process splitting process can be a matched simple process, the single process can be used for carrying out step splitting processing on the task process, namely, the multiple task processes can be split according to a preset sequence by using the single process, so that the complex processing of communication among the multiple processes can be avoided, and the splitting efficiency is improved.
Step S12: and matching the minimum granularity steps with a pre-established execution function table to obtain a plurality of execution functions corresponding to the minimum granularity steps.
In the embodiment of the present invention, after obtaining a plurality of minimum granularity steps of a task process, the minimum granularity step may be used to match with a pre-established execution function table to obtain a corresponding execution function. For example, in the above alarm processing task, the alarm short message notification step may be matched to the short message sending execution function, the alarm information recording step may be matched to the log recording execution function, the alarm information real-time pushing step may be matched to the log pushing execution function, and the data statistics step may be matched to the log statistics execution function. That is, an algorithm or an application program may be set in the computer device, and a suitable execution function may be matched for the minimum granularity step of the task process, and the execution function may implement a specific function of the minimum granularity, so that the step may be completed.
In the embodiment of the invention, the execution function is pre-established in a cache database, and a task message queue bus is utilized to monitor the task process message related to the execution function. The hardware of the cache database is the memory of the computer device, so as to improve the speed of reading and writing data when the execution function runs, and when the computer device is restarted, the cache database can also quickly load the execution function, so as to facilitate the calling of the subsequent task process. The execution function also monitors the task process message related to the execution function by using the task message queue bus, that is, the execution function can receive the task process message related to the execution function by a publish-subscribe manner, for example, the name of the execution function can be used as a communication tag, the communication tag is published on the message queue bus, and the message queue bus returns the task message related to the execution function to the corresponding execution function through the communication tag, so that each execution function can only receive the task message related to the execution function, and the interference between different execution functions is avoided. And calling the execution function table to be matched with the minimum granularity steps after the task process related to the execution function table is monitored.
Step S13: and inputting the execution parameters of the task process into a plurality of corresponding execution functions, and running the corresponding execution functions according to the sequence of the minimum granularity steps to obtain an output result of the task process.
In the embodiment of the invention, after the cache database acquires the corresponding execution function of the task process, the corresponding execution parameter is input into the execution function, and the execution parameter is operated, for example, the execution function for sending the short message is input into the mobile phone number of the receiver, the content of the short message and the like. If the steps of the task process are sequential, that is, the next step needs to obtain the structure of the current step, the execution function can also be run according to the order of the minimum granularity step of the task process, so as to obtain the output result of the task process. When the task process does not need to execute the steps sequentially, the execution function of the task process can be run in parallel, so that the processing speed of the task process is improved.
In the embodiment of the invention, the task process is divided into the minimum granularity step, and the minimum granularity step is completed by utilizing the pre-established execution function, so that the execution function can be repeatedly used in other task processes, thereby eliminating redundant codes of the task process and being easy to maintain.
Example 2
Fig. 2 is a flowchart of execution function execution of a task process processing method according to embodiment 2 of the present invention, including the following steps:
step S21: and determining the processing sequence of each execution parameter in the corresponding execution function according to the task ID.
In the embodiment of the present invention, after receiving the task process, a unique task ID of the task process is generated, that is, before inputting an execution parameter to a corresponding execution function, a unique task ID (Identity document) of the task process may be generated, for example, after receiving a newly pushed task process, a task ID may be generated for the task process immediately, and the task process may be marked with priority, importance degree of a task, and the like by the task ID. The process of generating the task ID may be implemented by using an algorithm or an application program, and for example, a task ID generation program may be provided in the computer device.
In the embodiment of the present invention, the task ID may also be used to mark the execution parameter of the task process, and the corresponding task ID may be input while the execution parameter is input to the corresponding execution function, so that the execution function may return the output result to the corresponding task process according to the task ID.
In the embodiment of the present invention, when different task processes need to use the same execution function, the execution function may also sequentially arrange the execution parameters that need to be processed according to the input task ID. For example, the priority level and the importance level of the task process may be obtained according to the flag information in the task ID, and the execution function may preferentially process the execution parameters of the task process having the importance level and the high priority level.
Step S22: and after the processing result of the execution parameter is obtained, taking the processing result as the output result, or sending the processing result as the execution parameter to a next execution function according to the sequence of the minimum granularity steps.
In the embodiment of the present invention, after the processing result of the execution parameter is obtained, if the execution function executes the last step of the task process, or the execution function executes parallel steps in the task process, the processing result may be directly returned to the task process. If the task process needs to be completed through a plurality of related serial steps, and the execution function executes an intermediate step of the serial steps, the processing result can be sent to the execution function corresponding to the next serial step.
Example 3
Fig. 3 is a flowchart of a task process processing method according to embodiment 3 of the present invention, where the method includes the following steps:
step S31: analyzing the newly pushed task process, and carrying out step splitting processing on the task process to obtain a plurality of minimum granularity steps of the task process.
This step is identical to step S11 described above, and will not be described herein again.
Step S32: and matching the minimum granularity steps with a pre-established execution function table to obtain a plurality of execution functions corresponding to the minimum granularity steps.
This step is identical to step S12 described above, and will not be described herein again.
Step S33: after obtaining the execution function, sequentially marking a plurality of execution parameters corresponding to the execution function to input the plurality of execution parameters according to the sequential marking.
In the embodiment of the present invention, the multiple minimum granularity steps obtained after the task process is split may be sequential serial steps, and according to the sequence of the serial steps, the execution function running sequence may be marked, or the execution parameter sequence may be marked, so that the execution parameters are sequentially input into the execution function, thereby obtaining a correct output result.
Step S34: and inputting the execution parameters of the task process into a plurality of corresponding execution functions, and running the corresponding execution functions according to the sequence of the minimum granularity steps to obtain an output result of the task process.
This step is identical to step S13 described above, and will not be described herein again.
Example 4
Fig. 4 is a schematic structural diagram of a task process processing device according to embodiment 4 of the present invention.
The task process processing apparatus 400 includes:
a task step splitting module 410, configured to parse a newly pushed task process, perform step splitting processing on the task process, and obtain multiple minimum granularity steps of the task process;
an execution function obtaining module 420, configured to match the multiple minimum granularity steps with a pre-established execution function table to obtain multiple execution functions corresponding to the multiple minimum granularity steps;
and an execution function running module 430, configured to input the execution parameters of the task process to the corresponding multiple execution functions, and run the corresponding multiple execution functions according to the sequence of the multiple minimum granularity steps, so as to obtain an output result of the task process.
As shown in fig. 5, the executive function execution module 430 includes:
a processing order determining unit 431, configured to determine, according to the task ID, an order in which each of the execution parameters is processed in the corresponding execution function;
a processing result transmission unit 432, configured to, after obtaining a processing result of the execution parameter, take the processing result as the output result, or send the processing result as the execution parameter to a next execution function according to the order of the minimum granularity steps.
In the embodiment of the present invention, for more detailed functional description of each module and each unit, reference may be made to contents of corresponding parts in the foregoing embodiment, which are not described herein again.
In addition, the invention also provides computer equipment which can comprise a smart phone, a tablet computer, a vehicle-mounted computer, intelligent wearable equipment and the like. The computer device comprises a memory and a processor, wherein the memory can be used for storing a computer program, and the processor executes the computer program to enable the computer device to execute the functions of the modules in the method or the task process processing device.
The memory may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the computer device, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The embodiment also provides a computer storage medium for storing a computer program used in the computer device.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative and, for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, each functional module or unit in each embodiment of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part of the technical solution that contributes to the prior art in essence can be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a smart phone, a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (7)
1. A task process processing method is characterized by comprising the following steps:
analyzing the newly pushed task process, and performing step splitting processing on the task process to obtain a plurality of minimum granularity steps of the task process;
matching the minimum granularity steps with a pre-established execution function table to obtain a plurality of execution functions corresponding to the minimum granularity steps;
after receiving the task process, generating a task ID unique to the task process;
determining the processing sequence of each execution parameter in the corresponding execution function according to the task ID;
after the processing result of the execution parameter is obtained, the processing result is used as an output result, or the processing result is used as the execution parameter to be sent to the next execution function according to the sequence of the minimum granularity steps;
the execution function is pre-established in a cache database, a task message queue bus is utilized to monitor the task process related to the execution function, and the execution function table is called to be matched with the minimum granularity steps after the task process related to the execution function is monitored.
2. The method according to claim 1, wherein the task process is subjected to step splitting processing by a single process.
3. The task process processing method according to claim 1, further comprising:
after obtaining the execution function, sequentially marking a plurality of execution parameters corresponding to the execution function to input the plurality of execution parameters according to the sequential marking.
4. A task process processing method according to claim 1, wherein the task process is an asynchronous task process or a pre-marked synchronous task process.
5. A task process processing apparatus, comprising:
the task step splitting module is used for analyzing the newly pushed task process, and performing step splitting processing on the task process to obtain a plurality of minimum granularity steps of the task process;
the execution function acquisition module is used for matching the minimum granularity steps with a pre-established execution function table to obtain a plurality of execution functions corresponding to the minimum granularity steps;
the execution function running module is used for inputting the execution parameters of the task process into a plurality of corresponding execution functions, running the corresponding execution functions according to the sequence of the minimum granularity steps to obtain the output result of the task process, wherein the execution functions are pre-established in a cache database, monitor the task process related to the execution functions by using a task message queue bus, and call the execution function table to be matched with the minimum granularity steps after monitoring the task process related to the execution functions;
the task ID generation module is used for generating a unique task ID of the task process after receiving the task process;
the execution function execution module comprises:
a processing sequence determining unit, configured to determine, according to the task ID, a sequence in which each of the execution parameters is processed in a corresponding execution function;
and the processing result transmission unit is used for taking the processing result as the output result after the processing result of the execution parameter is obtained, or sending the processing result as the execution parameter to a next execution function according to the sequence of the minimum granularity steps.
6. A computer device comprising a memory for storing a computer program and a processor for executing the computer program to cause the computer device to perform the task process handling method according to any one of claims 1 to 4.
7. A computer storage medium characterized in that it stores a computer program for use in the computer device of claim 6.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1465008A (en) * | 2001-02-16 | 2003-12-31 | 索尼株式会社 | Data processing method and its apparatus |
| CN102479107A (en) * | 2010-11-23 | 2012-05-30 | 天津中兴软件有限责任公司 | Method for scheduling program |
| CN108829466A (en) * | 2018-06-27 | 2018-11-16 | 中国建设银行股份有限公司 | A kind of data processing method, device, electronic equipment and storage medium |
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| CN1465008A (en) * | 2001-02-16 | 2003-12-31 | 索尼株式会社 | Data processing method and its apparatus |
| CN102479107A (en) * | 2010-11-23 | 2012-05-30 | 天津中兴软件有限责任公司 | Method for scheduling program |
| CN108829466A (en) * | 2018-06-27 | 2018-11-16 | 中国建设银行股份有限公司 | A kind of data processing method, device, electronic equipment and storage medium |
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