CN118195584A - Data processing method, data processing apparatus, device, medium, and program product - Google Patents

Data processing method, data processing apparatus, device, medium, and program product Download PDF

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CN118195584A
CN118195584A CN202410364929.6A CN202410364929A CN118195584A CN 118195584 A CN118195584 A CN 118195584A CN 202410364929 A CN202410364929 A CN 202410364929A CN 118195584 A CN118195584 A CN 118195584A
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product
function
product function
program
offline
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王俊雄
邵一飞
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Industrial and Commercial Bank of China Ltd ICBC
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Industrial and Commercial Bank of China Ltd ICBC
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    • G06F21/78—Protecting specific internal or peripheral components, in which the protection of a component leads to protection of the entire computer to assure secure storage of data
    • G—PHYSICS
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/02—Banking, e.g. interest calculation or account maintenance

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Abstract

The present disclosure provides a data processing method, a data processing apparatus, a device, a medium, and a program product, which can be applied to the fields of data processing and financial technology. The data processing method comprises the following steps: acquiring a function parameter set corresponding to a product function, wherein the function parameter set comprises a plurality of running state parameters representing the product function when running in a database; processing the function parameter set by using the function identification model to obtain a classification result corresponding to the product function, wherein the classification result represents the stage of the functional life cycle of the product function; under the condition that the classification result represents that the product function is in a stage to be withdrawn, obtaining a disposal result of the product function; and under the condition that the treatment result represents deleting the product function, performing offline deleting treatment on the product program set corresponding to the product function.

Description

Data processing method, data processing apparatus, device, medium, and program product
Technical Field
The present disclosure relates to the field of data processing and financial technology, and in particular to a data processing method, a data processing apparatus, an electronic device, a computer readable storage medium and a computer program product.
Background
With the iteration upgrading of the product functions, partial product functions are already offline or the traffic volume is seriously reduced, so that an inefficient function and an emergency exit program are formed. Programs corresponding to the inefficient functions should be temporarily brought down and physically deleted to reduce system maintenance costs and equipment resource costs.
However, in the actual exiting process, the existing low-efficiency product functions need to be screened manually one by one, so that a great deal of manpower is wasted, and the screening efficiency is low.
Disclosure of Invention
In view of the foregoing, the present disclosure provides a data processing method, a data processing apparatus, an electronic device, a computer-readable storage medium, and a computer program product.
According to a first aspect of the present disclosure, there is provided a data processing method comprising:
acquiring a function parameter set corresponding to a product function, wherein the function parameter set comprises a plurality of running state parameters representing the product function when running in a database;
Processing the function parameter set by using a function identification model to obtain a classification result corresponding to the product function, wherein the classification result represents the stage of the functional life cycle of the product function;
Acquiring a disposal result of the product function under the condition that the classification result represents that the product function is in a to-be-withdrawn stage;
And under the condition that the treatment result represents deleting the product function, performing offline deleting processing on the product program set corresponding to the product function.
According to an embodiment of the present disclosure, before the acquiring the function parameter set, the data processing method further includes:
Acquiring a program list corresponding to the product function, wherein the program list comprises a plurality of different product programs corresponding to the product function;
For each of the product programs, determining the product program as one of the set of product programs in the case where the product program only serves the product function.
According to an embodiment of the present disclosure, the above data processing method further includes:
and transmitting a product program set corresponding to the product function to a target server under the condition that the treatment result is the operation and maintenance address of the replacement of the product function, so that the product program set runs in the target server to provide the product function.
According to an embodiment of the present disclosure, the above data processing method further includes:
if the processing result is that the replacement function is used to replace the product function, offline deleting the product program set corresponding to the product function;
And carrying out optimization processing on the replacement program set corresponding to the replacement function to obtain an optimized replacement program set, so that the product function is provided by utilizing the optimized replacement program set.
According to an embodiment of the present disclosure, the plurality of operation status parameters includes an on-line duration, a function usage rate, and a period flag, wherein the period flag characterizes whether the product function is at a maturity stage of the function lifecycle at a historical time.
According to an embodiment of the present disclosure, processing the set of functional parameters using a functional identification model to obtain a classification result corresponding to the product function includes:
Identifying the category of the product function to obtain a category result, wherein the category result represents a service object of the product function;
Aiming at the product functions for providing services for any type of service objects, the categories of the product functions are identified based on the online time length, the function utilization rate and the period identification, and the classification results are obtained.
According to an embodiment of the present disclosure, the identifying the category of the product function based on the online time, the function usage rate, and the period identifier, to obtain the classification result includes:
Under the condition that the online time is not greater than a preset time threshold, determining the classification result of the product functions as a popularization period stage;
Determining the classification result of the product functions as a mature period stage under the condition that the online time is longer than the preset time threshold and the function utilization rate is greater than a first preset utilization rate threshold in a preset time period;
Under the condition that the function utilization rate is larger than the first preset utilization rate threshold value and the period mark is a preset mark, determining a classification result of the product function as a declining period stage;
and under the condition that the online time is longer than the preset time threshold and the function utilization rate is not longer than a second preset utilization rate threshold in a preset time period, determining the classification result of the product function as the to-be-exited stage.
According to an embodiment of the present disclosure, obtaining a treatment result of the above product function includes:
And sending the classification result to the operation and maintenance terminal so that the operation and maintenance terminal responds to the opinion collecting request of the classification result to generate the disposal result.
According to an embodiment of the present disclosure, offline deletion processing is performed on a product program set corresponding to the product function, including:
offline disposing the product program set such that the product program set is suspended from providing the product functions, wherein the offline disposing characterizes decoupling a relationship between the product program set and the product functions;
and deleting the offline treated product program set under the condition that the offline treated time meets the preset treatment duration.
According to an embodiment of the present disclosure, the above data processing method further includes:
Monitoring the product program set by using a monitoring program in the off-line treatment time to obtain a monitoring result;
and under the condition that the monitoring result shows that the click rate of the product function reaches a preset value during offline treatment, recovering the product function and modifying the quasi-exit stage corresponding to the product function into other types of stages.
A second aspect of the present disclosure provides a data processing apparatus comprising:
The system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a function parameter set corresponding to a product function, and the function parameter set comprises a plurality of running state parameters representing the product function when running in a database;
the classification module is used for processing the function parameter set by utilizing a function identification model to obtain a classification result corresponding to the product function, wherein the classification result represents the stage of the functional life cycle of the product function;
the second obtaining module is used for obtaining a treatment result of the product function under the condition that the classification result represents that the product function is in a stage to be withdrawn;
And the offline deleting module is used for carrying out offline deleting processing on the product program set corresponding to the product function under the condition that the treatment result represents deleting the product function.
A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; and a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the data processing method described above.
A fourth aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above-described data processing method.
A fifth aspect of the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the above-described data processing method.
According to the embodiment of the disclosure, the life cycle of the product function is judged through the function identification model, so that whether the product function is in a to-be-exited stage of the function life cycle is effectively identified, and when the product function is in the to-be-exited stage, a treatment result for the product function is timely obtained, so that whether to execute offline deleting operation on a product program set of the product function is determined according to the treatment result. Because the life cycle of different product functions is automatically identified by utilizing the function identification model, the identification efficiency of the product functions in the database is improved, and meanwhile, the offline deleting operation is executed by combining the treatment result of the product functions, so that the false deleting of the product functions can be effectively avoided, and the storage safety of the product functions stored in the database is improved.
Drawings
The foregoing and other objects, features and advantages of the disclosure will be more apparent from the following description of embodiments of the disclosure with reference to the accompanying drawings, in which:
FIG. 1 schematically illustrates an application scenario diagram of a data processing method and a data processing apparatus provided according to an embodiment of the present disclosure;
FIG. 2 schematically illustrates a flow chart of a data processing method according to an embodiment of the disclosure;
FIG. 3 schematically illustrates a functional lifecycle stage-by-stage flow diagram, according to an embodiment of the present disclosure;
FIG. 4 schematically illustrates a flow chart of a data processing method according to another embodiment of the present disclosure;
FIG. 5 schematically illustrates a block diagram of a data processing apparatus according to an embodiment of the present disclosure; and
Fig. 6 schematically illustrates a block diagram of an electronic device adapted to implement a data processing method according to an embodiment of the disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and/or the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It should be noted that the terms used herein should be construed to have meanings consistent with the context of the present specification and should not be construed in an idealized or overly formal manner.
Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a convention should be interpreted in accordance with the meaning of one of skill in the art having generally understood the convention (e.g., "a system having at least one of A, B and C" would include, but not be limited to, systems having a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).
In the technical scheme of the invention, the related user information (including but not limited to user personal information, user image information, user equipment information, such as position information and the like) and data (including but not limited to data for analysis, stored data, displayed data and the like) are information and data authorized by a user or fully authorized by all parties, and the related data are collected, stored, used, processed, transmitted, provided, disclosed, applied and the like, all comply with related laws and regulations and standards, necessary security measures are adopted, no prejudice to the public order is provided, and corresponding operation entries are provided for the user to select authorization or rejection.
Embodiments of the present disclosure provide a data processing method, a data processing apparatus, a device, a medium, and a program product, the method comprising obtaining a set of functional parameters corresponding to a product function, wherein the set of functional parameters comprises a plurality of operational state parameters characterizing the product function as it is running in a database; processing the function parameter set by using the function identification model to obtain a classification result corresponding to the product function, wherein the classification result represents the stage of the functional life cycle of the product function; under the condition that the classification result represents that the product function is in a stage to be withdrawn, obtaining a disposal result of the product function; and under the condition that the treatment result represents deleting the product function, performing offline deleting treatment on the product program set corresponding to the product function.
It should be noted that the data processing method and the data processing apparatus provided in the present disclosure may be used in a financial field, for example, a financial institution such as a bank, and may also be used in any field other than the financial field, for example, an insurance institution, and therefore, the application fields of the data processing method and the data processing apparatus provided in the present disclosure are not limited.
Fig. 1 schematically illustrates an application scenario diagram of a data processing method and a data processing apparatus provided according to an embodiment of the present disclosure.
As shown in fig. 1, the application scenario 100 according to this embodiment may include a telephone charge recharging page in a mobile banking or the like. 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 shopping class applications, web browser applications, search class applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only) may be installed on the terminal devices 101, 102, 103.
The terminal devices 101, 102, 103 may be a variety of electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.
The server 105 may be a server providing various services, such as a background management server (by way of example only) providing support for websites browsed by users using the terminal devices 101, 102, 103. The background management server may analyze and process the received data such as the user request, and feed back the processing result (e.g., the web page, information, or data obtained or generated according to the user request) to the terminal device.
It should be noted that the data processing method provided in the embodiments of the present disclosure may be generally performed by the server 105. Accordingly, the data processing apparatus provided by the embodiments of the present disclosure may be generally provided in the server 105. The data processing method provided by the embodiments of the present disclosure may also be performed by a server or a server cluster that is different from the server 105 and is capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Accordingly, the data processing apparatus provided by the embodiments of the present disclosure may also be provided in a server or a server cluster different from the server 105 and capable of communicating with the terminal devices 101, 102, 103 and/or the server 105.
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.
Fig. 2 schematically illustrates a flow chart of a data processing method according to an embodiment of the present disclosure. Fig. 3 schematically illustrates a functional lifecycle stage-by-stage flow diagram, according to an embodiment of the present disclosure.
As shown in fig. 2, the data processing method of this embodiment includes operations S210 to S240, and the transaction processing method may be executed by an electronic device.
In operation S210, a function parameter set corresponding to a product function is acquired, wherein the function parameter set includes a plurality of operation state parameters characterizing the product function when operating in a database;
In operation S220, the function parameter set is processed by using the function identification model to obtain a classification result corresponding to the product function, wherein the classification result characterizes what stage of the functional life cycle the product function is in;
In operation S230, in the case that the classification result characterizes the product function as being in the stage of waiting for exit, a disposition result of the product function is obtained;
in operation S240, in the case where the handling result represents deleting the product function, offline deleting processing is performed on the product program set corresponding to the product function.
According to the embodiment of the disclosure, the product function may refer to a certain webpage or software, and may also be a function executed by a certain control on the webpage, for example, in a telephone recharging page on banking software, different denominations of telephone recharging service are executed by using different controls. A product program collection refers to a plurality of software programs that provide program support for the product functions.
According to embodiments of the present disclosure, the lifecycle of a product function is divided into five phases, "promotion period (class 1), maturation period (class 2), decay period (class 3), withdrawal-intended (class 4), withdrawal (class 5)", with reference to the product lifecycle theory teaching raymond-frenon at university of harvard in the united states. The circulation of each stage is shown in figure 3.
According to embodiments of the present disclosure, the operational status parameters may be on-line duration, function usage, cycle identification, and the like. The treatment result is a digitized result generated from the feedback opinion, and for example, "0" may be used to indicate no deletion, and "1" may be used to indicate deletion.
According to embodiments of the present disclosure, an electronic device may perform the data processing method of the present disclosure periodically or in response to an operation and maintenance instruction of an operation and maintenance person. Firstly, acquiring a function parameter set corresponding to each product function, such as an on-line time length, a function utilization rate and other operation state parameters, and then utilizing a function identification model to process the operation state parameters to determine a classification result of the product function, such as that the product function is in a decay phase or a to-be-exited phase of a life cycle.
According to the embodiment of the disclosure, if the classification result determines that the secondary product function is in the stage to be exited, the secondary product function may not be deleted directly at this time, but a treatment result of an operation and maintenance person or other person for the product function is obtained, and if the treatment result shows that the product function is deleted, the electronic device performs offline deletion processing on a related product program set of the product function.
According to the embodiment of the disclosure, the life cycle of the product function is judged through the function identification model, so that whether the product function is in a to-be-exited stage of the function life cycle is effectively identified, and when the product function is in the to-be-exited stage, a treatment result for the product function is timely obtained, so that whether to execute offline deleting operation on a product program set of the product function is determined according to the treatment result. Because the life cycle of different product functions is automatically identified by utilizing the function identification model, the identification efficiency of the product functions in the database is improved, and meanwhile, the offline deleting operation is executed by combining the treatment result of the product functions, so that the false deleting of the product functions can be effectively avoided, and the storage safety of the product functions stored in the database is improved.
According to an embodiment of the present disclosure, before acquiring the set of functional parameters, the data processing method further includes:
Acquiring a program list corresponding to the product function, wherein the program list comprises a plurality of different product programs corresponding to the product function;
For each product program, the product program is determined to be one of a set of product programs in the case where the product program only serves the product function.
According to the embodiment of the disclosure, a plurality of product programs are needed behind each product function to provide data support, however, some product programs may be the same among different product functions, that is, the same product program provides services for at least two product functions, in this case, if the plurality of product programs corresponding to the product function a are deleted offline, the product function B may not normally provide services, so before the product program set of the product function a is deleted offline, the product programs capable of providing support for other product functions need to be removed first.
Fig. 4 schematically shows a flow chart of a data processing method according to another embodiment of the present disclosure.
Referring to fig. 4, the data processing method further includes:
And transmitting the product program set corresponding to the product function to the target server under the condition that the treatment result is the operation and maintenance address of the replacement product function, so that the product program set runs in the target server to provide the product function.
In one embodiment, the first database in one organization stores a larger pressure, and in the case that the product function is in the stage of waiting for the exit and the handling result is the operation and maintenance address of the replacement product function, the product program set corresponding to the product function may be transferred to the second database (i.e. the target server) in the organization, or the second database in another organization, where the storage capacity of the second database may be smaller than that of the first database, and of course, the storage capacity of the second database may be larger than that of the first database, so that the product function may be provided by using the product program set stored in the second database.
According to the embodiment of the disclosure, the operation and maintenance addresses of the product program sets corresponding to the product functions are replaced and stored in other servers, so that the storage pressure of the original storage server can be reduced.
Referring to fig. 4, the data processing method further includes:
Under the condition that the treatment result is that the replacement function is utilized to replace the product function, offline deleting the product program set corresponding to the product function;
and optimizing the replacement program set corresponding to the replacement function to obtain an optimized replacement program set, so that the product function is provided by utilizing the optimized replacement program set.
According to the embodiment of the disclosure, a certain commonality exists between different product functions, namely, the product function a and the product function B are similar, and if the product function a and the product function B respectively independently use one set of product program set, the operation pressure of the database is increased at the moment.
According to the embodiment of the disclosure, in order to effectively reduce the pressure of the database, the product program set corresponding to the product function can be subjected to offline deletion processing, and the replacement program set is subjected to optimization processing, so that the optimized replacement program set provides the product function, and the operation pressure of the database is reduced.
According to an embodiment of the present disclosure, the plurality of operational status parameters includes an on-line duration, a function usage rate, and a period identification, wherein the period identification characterizes whether the product function is at a maturity stage of a function lifecycle at a historical time.
According to embodiments of the present disclosure, the function usage rate may be the frequency with which the function is clicked.
According to embodiments of the present disclosure, period identification may use a "0" that was not in the maturity stage and a "1" indicates that was in the maturity stage.
According to an embodiment of the present disclosure, processing a function parameter set using a function identification model to obtain a classification result corresponding to a product function includes:
Identifying the category of the product function to obtain a category result, wherein the category result represents a service object of the product function;
aiming at the product functions for providing services for any type of service object, the categories of the product functions are identified based on the online time length, the function utilization rate and the period identification, and a classification result is obtained.
According to embodiments of the present disclosure, the category of a product function is identified to determine its category result, for example, the product function is software that serves a worker (i.e., an inner tube class) or software that serves a customer (i.e., a guest class), and the product functions of different service objects are generally different in criteria at the time of the category identification.
According to the embodiment of the disclosure, for a product function serving a worker, a classification result of the product function can be judged according to whether the online time length of the product function is greater than 12 months, whether the function utilization rate is greater than 5% or 3% in two quarters, and whether the product function is in a mature period stage or not, and the classification result can specifically display a specific stage of a functional life cycle of the product function at present.
According to an embodiment of the present disclosure, identifying a category of a product function based on an online time length, a function usage rate, and a period identifier, to obtain a classification result, includes:
Under the condition that the online time length is not greater than a preset time length threshold value, determining a classification result of the product function as a popularization period stage;
Under the condition that the online time length is greater than a preset time length threshold value and the function utilization rate in a preset time period is greater than a first preset utilization rate threshold value, determining a classification result of the product functions as a mature period stage;
under the condition that the function utilization rate is larger than a first preset utilization rate threshold value and the period mark is a preset mark, determining a classification result of the product function as a declining period stage;
and under the condition that the online time length is larger than a preset time length threshold value and the function utilization rate in a preset time period is not larger than a second preset utilization rate threshold value, determining a classification result of the product function as a to-be-exited stage.
According to the embodiment of the disclosure, specific stages of product functions are identified through indexes such as online time, function utilization rate, period identification and the like, and specific rules are shown in table 1. Wherein, the preset identifiers can use 1 and 0 to respectively indicate whether the preset identifiers are in the mature period or not.
TABLE 1
It should be noted that, the values of time, percentage, etc. in the above-mentioned division criteria may be specifically set according to actual requirements, and the above description is given only as an example. For example, in the above example, the first preset usage threshold may be 5% and the second preset usage threshold may be 3%.
According to an embodiment of the present disclosure, obtaining a treatment result of a product function includes:
and sending the classification result to the operation and maintenance terminal so that the operation and maintenance terminal responds to the opinion collecting request of the classification result to generate a treatment result.
According to the embodiment of the disclosure, in the case that the product function is determined to be in the to-be-exited stage, the classification result may be sent to the operation and maintenance terminal of the current institution, so that the operation and maintenance personnel of the current institution generate the treatment result according to the classification result and the actual situation.
According to embodiments of the present disclosure, if the current institution has a small demand for the product function, an opinion collection request may be transmitted to other institutions to cause the other institutions to generate disposal results in response to the opinion collection request.
Referring to fig. 4, offline deletion processing is performed on a product program set corresponding to a product function, including:
offline disposing of the product program collection such that the product program collection pauses providing the product functionality, wherein the offline disposing characterizes decoupling a relationship between the product program collection and the product functionality;
and deleting the offline treated product program set under the condition that the offline treated time meets the preset treatment duration.
According to embodiments of the present disclosure, in order to improve the security of data, in case of confirming deletion, a certain "cold period" may be reserved, for example, it is treated offline to suspend providing the product function, and the corresponding product program set is not deleted temporarily.
According to an embodiment of the present disclosure, in a case where the time of offline treatment satisfies a preset treatment duration, the deletion process is performed on the offline treated product program set. The preset treatment duration may be specifically set according to actual requirements, for example, may be two months.
Referring to fig. 4, the data processing method further includes:
Monitoring the product program set by using a monitoring program in the off-line treatment time to obtain a monitoring result;
And under the condition that the monitoring result shows that the click rate of the product function reaches a preset value during offline treatment, recovering the product function and modifying the to-be-exited phase corresponding to the product function into other types of phases.
According to embodiments of the present disclosure, when clicking on the product function during the time of offline treatment, since the relationship between the product program set and the product function has been decoupled, it may be displayed that "the function has been offline, please contact the technical section".
According to the embodiment of the disclosure, the click rate of the product function may be counted in the offline treatment time, if the click rate is greater than a preset value, it is indicated that the product function should not be deleted, and at this time, the product function may be recovered and the stage to be exited corresponding to the product function may be modified to another type of stage, such as a decay stage, where the preset value may be specifically set according to the actual requirement, for example, may be 60%.
Fig. 5 schematically shows a block diagram of a data processing apparatus according to an embodiment of the present disclosure.
As shown in fig. 5, the data processing apparatus 500 of this embodiment includes a first acquisition module 510, a classification module 520, a second acquisition module 530, and an offline delete module 540.
A first obtaining module 510, configured to obtain a function parameter set corresponding to a product function, where the function parameter set includes a plurality of operation state parameters that characterize when the product function is operated in a database;
The classification module 520 is configured to process the function parameter set by using the function identification model to obtain a classification result corresponding to the product function, where the classification result characterizes what stage of the functional life cycle the product function is in;
A second obtaining module 530, configured to obtain a treatment result of the product function when the classification result indicates that the product function is in the stage of waiting for exit;
the offline deleting module 540 is configured to perform offline deleting processing on the product program set corresponding to the product function when the treatment result represents deleting the product function.
According to the embodiment of the disclosure, the life cycle of the product function is judged through the function identification model, so that whether the product function is in a to-be-exited stage of the function life cycle is effectively identified, and when the product function is in the to-be-exited stage, a treatment result for the product function is timely obtained, so that whether to execute offline deleting operation on a product program set of the product function is determined according to the treatment result. Because the life cycle of different product functions is automatically identified by utilizing the function identification model, the identification efficiency of the product functions in the database is improved, and meanwhile, the offline deleting operation is executed by combining the treatment result of the product functions, so that the false deleting of the product functions can be effectively avoided, and the storage safety of the product functions stored in the database is improved.
According to an embodiment of the present disclosure, the data processing apparatus 500 further includes a third acquisition module, a determination module.
A third obtaining module, configured to obtain a program list corresponding to a product function, where the program list includes a plurality of different product programs corresponding to the product function;
a determining module for determining, for each product program, the product program as one of a set of product programs in case the product program only serves the product function.
According to an embodiment of the present disclosure, the data processing apparatus 500 further comprises a transmission module.
And the transmission module is used for transmitting the product program set corresponding to the product function to the target server under the condition that the treatment result is the operation and maintenance address of the replacement product function, so that the product program set runs in the target server to provide the product function.
According to an embodiment of the present disclosure, the data processing apparatus 500 further includes a second offline delete module, an optimization module.
The second offline deleting module is used for performing offline deleting treatment on the product program set corresponding to the product function under the condition that the treatment result is that the product function is replaced by the replacement function;
And the optimizing module is used for optimizing the replacing program set corresponding to the replacing function to obtain an optimized replacing program set so as to provide the product function by utilizing the optimized replacing program set.
According to an embodiment of the present disclosure, the plurality of operational status parameters includes an on-line duration, a function usage rate, and a period identification, wherein the period identification characterizes whether the product function is at a maturity stage of a function lifecycle at a historical time.
According to an embodiment of the present disclosure, the classification module 520 includes a first recognition unit, a second recognition unit.
The first identification unit is used for identifying the category of the product function to obtain a category result, wherein the category result represents a service object of the product function;
the second identifying unit is used for identifying the category of the product function based on the online time length, the function utilization rate and the period identifier aiming at the product function for providing service for any type of service object, and obtaining a classification result.
According to an embodiment of the present disclosure, the second identifying unit includes a first determining subunit, a second determining subunit, a third determining subunit, a fourth determining subunit.
The first determining subunit is used for determining a classification result of the product function as a popularization period stage under the condition that the online time length is not more than a preset time length threshold value;
The second determining subunit is used for determining the classification result of the product function as a mature period stage when the online time length is greater than a preset time length threshold value and the function utilization rate in a preset time period is greater than a first preset utilization rate threshold value;
the third determining subunit is used for determining a classification result of the product function as a declining phase under the condition that the function utilization rate is larger than a first preset utilization rate threshold value and the period mark is a preset mark;
and the fourth determining subunit is used for determining the classification result of the product function as a to-be-exited stage under the condition that the online time length is greater than a preset time length threshold value and the function utilization rate is not greater than a second preset utilization rate threshold value in a preset time period.
According to an embodiment of the present disclosure, the second acquisition module 530 includes a transmission module.
And the sending module is used for sending the classification result to the operation and maintenance terminal so that the operation and maintenance terminal responds to the opinion collection request of the classification result to generate a treatment result.
According to an embodiment of the present disclosure, the offline delete module 540 includes an offline handling unit, a delete unit.
An offline handling unit for offline handling the product program collection such that the product program collection pauses providing the product functionality, wherein the offline handling characterization decouples the relationship between the product program collection and the product functionality;
And the deleting unit is used for deleting the offline treated product program set under the condition that the offline treatment time meets the preset treatment duration.
According to an embodiment of the present disclosure, the data processing apparatus 500 further includes a monitoring module and a recovery module.
The monitoring module is used for monitoring the product program set by using the monitoring program in the off-line treatment time to obtain a monitoring result;
And the recovery module is used for recovering the product function and modifying the to-be-exited stage corresponding to the product function into other types of stages under the condition that the monitoring result shows that the click rate of the product function reaches the preset value during the off-line treatment.
According to an embodiment of the present disclosure, any of the plurality of modules of the first acquisition module 510, the classification module 520, the second acquisition module 530, and the offline delete module 540 may be combined in one module, or any of the plurality of modules may be split into a plurality of modules. Or at least some of the functionality of one or more of the modules may be combined with, and implemented in, at least some of the functionality of other modules. According to embodiments of the present disclosure, at least one of the first acquisition module 510, the classification module 520, the second acquisition module 530, the offline deletion module 540 may be implemented at least in part as hardware circuitry, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or in hardware or firmware, such as any other reasonable manner of integrating or packaging the circuitry, or in any one of or a suitable combination of three of software, hardware, and firmware. Or at least one of the first obtaining module 510, the classifying module 520, the second obtaining module 530, the offline deleting module 540 may be at least partially implemented as a computer program module which, when executed, may perform the corresponding functions.
Fig. 6 schematically illustrates a block diagram of an electronic device adapted to implement a data processing method according to an embodiment of the disclosure.
As shown in fig. 6, an electronic device 600 according to an embodiment of the present disclosure includes a processor 601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. The processor 601 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or an associated chipset and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), or the like. Processor 601 may also include on-board memory for caching purposes. The processor 601 may comprise a single processing unit or a plurality of processing units for performing different actions of the method flows according to embodiments of the disclosure.
In the RAM 603, various programs and data necessary for the operation of the electronic apparatus 600 are stored. The processor 601, the ROM 602, and the RAM 603 are connected to each other through a bus 604. The processor 601 performs various operations of the method flow according to the embodiments of the present disclosure by executing programs in the ROM 602 and/or the RAM 603. Note that the program may be stored in one or more memories other than the ROM 602 and the RAM 603. The processor 601 may also perform various operations of the method flow according to embodiments of the present disclosure by executing programs stored in the one or more memories.
According to an embodiment of the present disclosure, the electronic device 600 may also include an input/output (I/O) interface 605, the input/output (I/O) interface 605 also being connected to the bus 604. The electronic device 600 may also include one or more of the following components connected to the I/O interface 605: an input portion 606 including a keyboard, mouse, etc.; an output portion 607 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The drive 610 is also connected to the I/O interface 605 as needed. Removable media 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed as needed on drive 610 so that a computer program read therefrom is installed as needed into storage section 608.
The present disclosure also provides a computer-readable storage medium that may be embodied in the apparatus/device/system described in the above embodiments; or may exist alone without being assembled into the apparatus/device/system. The computer-readable storage medium carries one or more programs which, when executed, implement methods in accordance with embodiments of the present disclosure.
According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example, but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, the computer-readable storage medium may include ROM 602 and/or RAM 603 and/or one or more memories other than ROM 602 and RAM 603 described above.
Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the methods shown in the flowcharts. The program code means for causing a computer system to carry out the data processing methods provided by the embodiments of the present disclosure when the computer program product is run on the computer system.
The above-described functions defined in the system/apparatus of the embodiments of the present disclosure are performed when the computer program is executed by the processor 601. The systems, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.
In one embodiment, the computer program may be based on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed in the form of signals over a network medium, and downloaded and installed via the communication section 609, and/or installed from the removable medium 611. The computer program may include program code that may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
In such an embodiment, the computer program may be downloaded and installed from a network through the communication portion 609, and/or installed from the removable medium 611. The above-described functions defined in the system of the embodiments of the present disclosure are performed when the computer program is executed by the processor 601. The systems, devices, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.
According to embodiments of the present disclosure, program code for performing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, such computer programs may be implemented in high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. Programming languages include, but are not limited to, such as Java, c++, python, "C" or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. 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 some 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 or flowchart illustration, and combinations of blocks in the block diagrams 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.
Those skilled in the art will appreciate that the features recited in the various embodiments of the disclosure and/or in the claims may be provided in a variety of combinations and/or combinations, even if such combinations or combinations are not explicitly recited in the disclosure. In particular, the features recited in the various embodiments of the present disclosure and/or the claims may be variously combined and/or combined without departing from the spirit and teachings of the present disclosure. All such combinations and/or combinations fall within the scope of the present disclosure.
The embodiments of the present disclosure are described above. These examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the embodiments cannot be used advantageously in combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be made by those skilled in the art without departing from the scope of the disclosure, and such alternatives and modifications are intended to fall within the scope of the disclosure.

Claims (14)

1. A method of data processing, the method comprising:
Acquiring a function parameter set corresponding to a product function, wherein the function parameter set comprises a plurality of running state parameters representing the product function when running in a database;
processing the function parameter set by using a function identification model to obtain a classification result corresponding to the product function, wherein the classification result represents what stage of a function life cycle the product function is in;
Acquiring a treatment result of the product function under the condition that the classification result characterizes the product function to be in a to-be-withdrawn stage;
And under the condition that the treatment result represents deleting the product function, performing offline deleting processing on the product program set corresponding to the product function.
2. The method of claim 1, wherein prior to acquiring the set of functional parameters, the method further comprises:
Acquiring a program list corresponding to the product function, wherein the program list comprises a plurality of different product programs corresponding to the product function;
For each of the product programs, determining the product program as one of the set of product programs in the case where the product program only serves the product function.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
And transmitting a product program set corresponding to the product function to a target server under the condition that the treatment result is that the operation and maintenance address of the product function is replaced, so that the product program set runs in the target server to provide the product function.
4. The method according to claim 1 or 2, characterized in that the method further comprises:
Under the condition that the treatment result is that the replacement function is utilized to replace the product function, offline deleting processing is carried out on the product program set corresponding to the product function;
And optimizing the replacement program set corresponding to the replacement function to obtain an optimized replacement program set, so that the product function is provided by utilizing the optimized replacement program set.
5. The method of claim 1, wherein the plurality of operational status parameters include an on-line duration, a function usage rate, and a period identification, wherein the period identification characterizes whether the product function is at a maturity stage of the function lifecycle at a historical time.
6. The method of claim 5, wherein processing the set of functional parameters using a functional identification model to obtain a classification result corresponding to the product function comprises:
Identifying the category of the product function to obtain a category result, wherein the category result represents a service object of the product function;
And aiming at the product functions for providing services for any type of service objects, identifying the types of the product functions based on the online time length, the function utilization rate and the period identification, and obtaining the classification result.
7. The method of claim 6, wherein identifying the category of the product function based on the online time period, function usage, and cycle identification, results in the classification, comprises:
under the condition that the online time is not greater than a preset time threshold, determining a classification result of the product function as a popularization period stage;
Determining a classification result of the product function as a mature period stage under the condition that the online time is greater than the preset time threshold and the function utilization rate is greater than a first preset utilization rate threshold in a preset time period;
Under the condition that the function utilization rate is larger than the first preset utilization rate threshold value and the period mark is a preset mark, determining a classification result of the product function as a declining period stage;
And under the condition that the online time length is larger than the preset time length threshold value and the function utilization rate is not larger than a second preset utilization rate threshold value in a preset time period, determining the classification result of the product function as the to-be-exited stage.
8. The method of claim 1, wherein obtaining the treatment result of the product function comprises:
And sending the classification result to an operation and maintenance terminal so that the operation and maintenance terminal responds to an opinion collection request of the classification result to generate the treatment result.
9. The method of claim 8, wherein performing offline deletion processing on the product program set corresponding to the product function comprises:
offline disposing the set of product programs such that the set of product programs pauses providing the product functionality, wherein the offline disposing characterizes decoupling a relationship between the set of product programs and the product functionality;
and deleting the offline treated product program set under the condition that the offline treated time meets the preset treatment duration.
10. The method according to claim 9, wherein the method further comprises:
Monitoring the product program set by using a monitoring program in the off-line treatment time to obtain a monitoring result;
And under the condition that the monitoring result shows that the click rate of the product function reaches a preset value during offline treatment, recovering the product function and modifying the to-be-exited stage corresponding to the product function into other types of stages.
11. A data processing apparatus, the apparatus comprising:
The system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a function parameter set corresponding to a product function, and the function parameter set comprises a plurality of running state parameters representing the product function when running in a database;
The classification module is used for processing the function parameter set by utilizing a function identification model to obtain a classification result corresponding to the product function, wherein the classification result represents what stage of a function life cycle the product function is in;
The second acquisition module is used for acquiring a treatment result of the product function under the condition that the classification result represents that the product function is in a to-be-withdrawn stage;
And the offline deleting module is used for carrying out offline deleting processing on the product program set corresponding to the product function under the condition that the treatment result represents deleting the product function.
12. An electronic device, comprising:
one or more processors;
Storage means for storing one or more computer programs,
Characterized in that the one or more processors execute the one or more computer programs to implement the steps of the method according to any one of claims 1 to 10.
13. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, realizes the steps of the method according to any one of claims 1-10.
14. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the method according to any one of claims 1-10.
CN202410364929.6A 2024-03-28 2024-03-28 Data processing method, data processing apparatus, device, medium, and program product Pending CN118195584A (en)

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