CN111179066B - Batch processing method and device for business data, server and storage medium - Google Patents
Batch processing method and device for business data, server and storage medium Download PDFInfo
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Abstract
The embodiment of the application provides a batch processing method and device for business data, a server and a storage medium. Wherein the method comprises the following steps: receiving a batch processing request for target service data, wherein the target service data comprises a plurality of service data to be processed; responding to the batch processing request, generating and displaying a batch processing list, wherein a plurality of attribute marking options are respectively set for each service data in a plurality of service data in the batch processing list; receiving a selection operation of an attribute marking option for service data; and determining and carrying out batch processing on the business data in the batch processing list according to the selection operation and the attribute marks hit by the business data in the batch processing list respectively. Therefore, in the batch processing process of the business data, different attribute marks can be flexibly set for the business data under different conditions in a batch processing state, so that the batch processing can be performed more finely and pertinently.
Description
Technical Field
The present application relates to the field of batch service data processing technologies, and in particular, to a batch service data processing method, device, server, and storage medium.
Background
In some business scenarios with a large data processing amount, for example, in business scenarios where a bank examines a large amount of transfer data at a certain time point, it is often required to perform batch processing on a huge amount of business data in the same batch in a short time. However, based on the existing method, in the batch processing process, the operation on the business data of the same batch in the batch processing state is mostly performed uniformly, so that the setting operation of the attribute mark and other related differentiated processing cannot be performed on one or a plurality of business data in the batch processing process.
Therefore, there is a need for a batch processing method of service data capable of flexibly setting attribute flags for parts of service data in a batch state individually during batch processing.
Disclosure of Invention
The embodiment of the application provides a batch processing method, device, server and storage medium for business data, which are used for solving the technical problems that in the prior method, attribute marks cannot be set on one or a plurality of business data in a batch processing state flexibly in the batch processing process of the business data, and the business data in the batch processing state cannot be subjected to targeted batch processing in a distinguishing manner.
The embodiment of the application provides a batch processing method of business data, which comprises the following steps:
receiving a batch processing request for target service data, wherein the target service data comprises a plurality of service data to be processed;
responding to the batch processing request, generating and displaying a batch processing list according to the target service data, wherein the batch processing list comprises each service data in a plurality of service data, and a plurality of attribute marking options are respectively set for each service data in the plurality of service data in the batch processing list;
receiving a selection operation of an attribute marking option for service data in the batch processing list;
determining attribute marks hit by the business data in the batch processing list respectively according to the selection operation;
and carrying out batch processing on the business data in the batch processing list according to the attribute marks hit by the business data in the batch processing list.
In one embodiment, the attribute tags include at least one of: authorization pass flag, return previous process flag, request review flag, exception data flag, audit pass flag.
In one embodiment, according to the attribute marks hit by the service data in the batch processing list, batch processing is performed on the service data in the batch processing list, including:
dividing the business data in the batch processing list into a plurality of processing groups according to the attribute marks hit by the business data;
and carrying out batch processing on the business data in the batch processing list according to the processing group.
In one embodiment, dividing the business data in the batch processing list into a plurality of processing groups according to the attribute tags hit by the business data comprises:
calculating the association degree between the attribute marks hit by the service data;
and dividing the business data with the association degree between the hit attribute marks being greater than or equal to a preset association degree threshold value into a processing group.
In one embodiment, after determining the attribute tags hit by the service data in the batch processing list according to the selecting operation, the method further includes:
and setting an attribute tag corresponding to the hit attribute tag for the service data according to the hit attribute tag of the service data.
In one embodiment, the traffic data includes at least one of: transfer data to be audited, voucher data to be authorized, application data of authority to be opened, collection service data, payment service data, supply chain service data, draft service data, deposit service data and financial service data.
In one embodiment, key feature information display items of the service data are further set in the batch processing list for each service data in the plurality of service data, and are used for displaying key feature information of the service data, where the key feature information of the service data is used for determining attribute marks hit by the service data.
In one embodiment, feature information detail display items of the service data are further set in the batch processing list for each service data in the plurality of service data, where a content interface in the feature information detail display items is in a hidden state when not triggered, is in a display state when triggered, and displays a content interface containing feature information details of the service data in the display state.
In one embodiment, a plurality of attribute marking options are further provided in the content interface, wherein the attribute marking options provided in the content interface are associated with the attribute marking options provided in the batch processing list and outside the content interface.
The embodiment of the application also provides a batch processing device of the business data, which comprises the following steps:
The first receiving module is used for receiving a batch processing request aiming at target service data, wherein the target service data comprises a plurality of service data to be processed;
the generation module is used for responding to the batch processing request, generating and displaying a batch processing list according to the target service data, wherein the batch processing list comprises each service data in a plurality of service data, and a plurality of attribute marking options are respectively set for each service data in the plurality of service data in the batch processing list;
the second receiving module is used for receiving the selection operation of the attribute marking options aiming at the service data in the batch processing list;
the determining module is used for determining attribute marks hit by the business data in the batch processing list respectively according to the selection operation;
and the processing module is used for carrying out batch processing on the business data in the batch processing list according to the attribute marks hit by the business data in the batch processing list.
The embodiment of the application also provides a server, which comprises a processor and a memory for storing instructions executable by the processor, wherein the processor receives a batch processing request aiming at target service data when executing the instructions, and the target service data comprises a plurality of service data to be processed; responding to the batch processing request, generating and displaying a batch processing list according to the target service data, wherein the batch processing list comprises each service data in a plurality of service data, and a plurality of attribute marking options are respectively set for each service data in the plurality of service data in the batch processing list; receiving a selection operation of an attribute marking option for service data in the batch processing list; determining attribute marks hit by the business data in the batch processing list respectively according to the selection operation; and carrying out batch processing on the business data in the batch processing list according to the attribute marks hit by the business data in the batch processing list.
The embodiment of the application also provides a computer readable storage medium, wherein computer instructions are stored on the computer readable storage medium, and the instructions are executed to realize receiving a batch processing request aiming at target service data, wherein the target service data comprises a plurality of service data to be processed; responding to the batch processing request, generating and displaying a batch processing list according to the target service data, wherein the batch processing list comprises each service data in a plurality of service data, and a plurality of attribute marking options are respectively set for each service data in the plurality of service data in the batch processing list; receiving a selection operation of an attribute marking option for service data in the batch processing list; determining attribute marks hit by the business data in the batch processing list respectively according to the selection operation; and carrying out batch processing on the business data in the batch processing list according to the attribute marks hit by the business data in the batch processing list.
In the embodiment of the application, after a batch processing request for target service data is received, a batch processing list containing a plurality of attribute mark options is respectively set for each service data besides each service data in the target service data is generated and displayed, so that different attribute marks can be flexibly and independently set for part of service data in different conditions in a batch processing state according to specific conditions of the service data in the batch processing process, thereby distinguishing operation can be carried out on the service data in the batch processing state in the same batch, further finer and more targeted batch processing can be carried out on the service data in different conditions in a distinguishing manner according to the attribute marks of the service data, the operation of operators is simplified, the accuracy of the batch processing of the service data is improved, and the processing efficiency is also solved, and the technical problems that the attribute marks cannot be flexibly set for part of the service data in the batch processing state in the batch processing process of the service data in the prior art, and the targeted batch processing of the service data cannot be distinguished in a specific manner in the batch processing state in the batch processing process of the service data are solved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of one embodiment of batch processing of business data in one example scenario;
FIG. 2 is a process flow diagram of a method for batch processing of business data provided in accordance with an embodiment of the present application;
FIG. 3 is a schematic diagram of one embodiment of a method for batch processing of business data provided by an embodiment of the present application in one scenario example;
FIG. 4 is a schematic diagram of one embodiment of a method for batch processing of business data provided by an embodiment of the present application in one example scenario;
FIG. 5 is a schematic diagram of an embodiment of a method for batch processing of business data provided by an embodiment of the present application in one scenario example;
FIG. 6 is a block diagram of a batch processing device for service data according to an embodiment of the present application;
Fig. 7 is a schematic diagram of a server composition structure of a method for batch processing of service data according to an embodiment of the present application.
Detailed Description
In order to make the technical solution of the present application better understood by those skilled in the art, the technical solution of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
Considering that the business data is in a batch processing state in the batch processing process of the same batch of business data based on the prior method, the operation of the batch of business data is uniform, and the operation of distinguishing one or a plurality of business data in the batch of business data from other business data cannot be independently carried out. For example, may participate in the illustration of fig. 1. In a business scenario that a bank performs auditing for a large amount of transfer data, operators responsible for auditing can only uniformly set an attribute mark for a plurality of transfer data in the auditing list in batches, for example, auditing is passed, and the like, but cannot flexibly subdivide the plurality of transfer data in the list, and respectively set corresponding attribute marks for each transfer data independently. If the operator needs to set the service data separately, the service data is usually stripped off to be in a batch processing state, and then the corresponding attribute marks are set additionally. The operation is relatively troublesome and inconvenient.
Therefore, when the existing method is implemented, the technical problems that attribute marks cannot be flexibly and individually set for part of service data in the process of batch processing of the service data and targeted batch processing cannot be performed on the service data in batch processing in a distinguishing manner often exist.
In view of the above, the present application contemplates that the batch processing list may be modified, where the modified batch processing list may include, in addition to each service data in the same batch of multiple service data, a plurality of attribute marking options for operation for each service data separately. By introducing and using the batch processing list to participate in batch processing of a large amount of service data, the service data can be in a batch processing state in the batch processing process of the service data, and different attribute marks can be flexibly set in the batch processing list for part of the service data in different conditions according to specific conditions of the service data by selecting the attribute mark of the service data in the batch processing list, so that the service data in the batch processing state of the same batch can be conveniently distinguished. Further, the service data belonging to different conditions can be processed in a finer and more targeted mode in a differentiated mode according to the attribute marks of the service data in the batch processing list. The operation of operators is simplified, the accuracy and the processing efficiency of the business data batch processing are improved, and the technical problems that in the existing method, attribute marks cannot be flexibly and independently set for part of business data in the process of the business data batch processing, and the business data in the batch processing cannot be subjected to targeted batch processing in a distinguishing manner are solved.
Based on the thought, the embodiment of the application provides a batch processing method for business data. Referring specifically to fig. 2, a process flow diagram of a method for batch processing of service data according to an embodiment of the present application is shown. The batch processing method for service data provided by the embodiment of the application can comprise the following when being implemented.
S201: a batch processing request for target business data is received, wherein the target business data comprises a plurality of business data to be processed.
In this embodiment, the batch processing method of service data provided by the embodiment of the application can be applied to a scenario of auditing service data (for example, transfer data) of transaction type of a user by a bank, a scenario of authorizing payment service data (for example, credential data to be authorized) of invoking payment of a bank account by the bank for requesting authorization by the user, a scenario of applying service data (for example, application data of applying for opening a certain service authority type by the bank, and the like.
It should be noted that, for the application scenario based on the bank, an operator responsible for specific processing such as auditing, authorizing, opening authority, or a server of the bank may often obtain a lot of huge amount of business data to be processed at a certain time point. Because the data volume of the service data is large, only batch processing can be performed, but based on the existing method, the service data is in a batch state in particular in the batch processing process, and in the batch state, the service data is inconvenient, and one or a plurality of service data of the service data cannot be independently operated and processed. It may be generally necessary to exit the batch processing state from the service data before performing corresponding operation processing. Therefore, the operation is troublesome to realize, and the overall processing efficiency of the service data is affected.
Of course, the application scenario listed above is only a schematic illustration. In the implementation process, the batch processing method of the service data provided by the embodiment of the application can be applied to other application scenes according to specific conditions and processing requirements. The application is not limited in this regard.
In this embodiment, the target service data may be specifically understood as a data set including a plurality of service data to be processed in a batch processing state.
In this embodiment, the service data may specifically include transfer data to be audited, credential data to be authorized, application data of permission to be opened, and the like. Of course, the above listed business data is only one illustrative. In the implementation, other types of service data can be further included according to specific application scenarios. For example, it may further include: collection service data, payment service data, supply chain service data, draft service data, deposit service data, financial service data, and the like. The present specification is not limited to this.
In this embodiment, the batch processing request for the target service data may specifically be request data for performing corresponding processing on the batch processing request for the target service data generated by using the batch processing request for the target service data as the target service data to be batch processed for the same batch of the same time-point-to-be-processed service data after a large amount of to-be-processed service data accessed by a service data processing system of a bank at a certain time point is received, and the batch processing request is sent to a server or an operator responsible for performing batch processing together with the target service data. Further, the server or the operator may receive the above-mentioned batch processing request, and target service data in a batch state to be processed.
S202: and responding to the batch processing request, generating and displaying a batch processing list according to the target service data, wherein the batch processing list comprises each service data in a plurality of service data, and a plurality of attribute marking options are respectively set for each service data in the plurality of service data in the batch processing list.
In this embodiment, the batch processing list may be shown in fig. 3, and in particular, each service data in the plurality of service data included in the batch target service data may be included in the batch processing list. And, unlike the ordinary processing list, one or more attribute marking options are further set in the batch processing list separately for each of the plurality of service data, independently of the other service data.
The attribute marking option is used for independently setting corresponding independent attribute marks for corresponding single service data under the condition of not influencing other service data of the batch.
The attribute flag may be specifically understood as flag information determined based on feature information of the service data and associated with a specific process for the service data. Specifically, the attribute flag may include at least one of: authorization pass flag, rollback previous process flag, request review flag, exception data flag, audit pass flag, etc. And when the service data is processed in detail later, matching processing can be carried out according to the attribute marks corresponding to the service data. Of course, the above listed attribute designations are only illustrative. In the specific implementation, other types of marking information can be introduced as attribute marks according to specific application scenes and processing requirements. The present specification is not limited to this.
In this embodiment, the batch processing list may specifically be a list interface in the form, and as shown in fig. 3, each line in the lateral direction in the list interface corresponds to one service data of the plurality of service data. The method comprises two parts in the longitudinal direction, wherein the first part is a business data characteristic information part near the left side in the list interface, and particularly comprises a plurality of key characteristic information display items for displaying a plurality of key characteristic information with relatively higher attention degree of corresponding business data. The second part is a right attribute marking information item part in the list interface, and specifically may include a plurality of different attribute marking options to be operated, and is used for determining whether the corresponding service data hits the attribute marking corresponding to the attribute marking option by receiving the corresponding operation determined by the server or the operator based on the characteristic information of the service data.
In this embodiment, many different feature information may be included for each service data. For example, the transfer data may include key feature information such as a payer name, a customer service number, a payer account number, an amount, etc. which pay attention to relatively high in the auditing process, or may include non-key feature information including information such as a payee name, a payee account number, address information initiated by the transfer data, etc. which pay attention to relatively low in the auditing process relative to the key feature information, but may reflect some situation features of the service data.
In this embodiment, considering that the types and contents of feature information (including key feature information and non-key feature information) included in one service data are relatively large, the feature information and the non-key feature information may not be displayed together on a list interface of a batch processing list. Therefore, in the implementation, the first part in the list interface of the displayed batch processing list specifically only displays a plurality of key feature information items, and the corresponding specific key feature information is directly displayed through the plurality of key feature information items. For example, the specific feature information "KL00001" corresponding to a certain piece of service data (a key feature information item) may be directly displayed in the "client service number" item. In contrast, the specific information content of the non-key feature information is not directly displayed in the list interface. Therefore, an operator can conveniently perform setting and determining operation on the attribute mark of the service data in the second part of the list interface according to the key characteristic information with higher attention degree displayed in the first part of the list interface of the batch processing list under the specific processing scenes such as auditing, authorizing and the like.
In this embodiment, it is considered that sometimes, when an operator performs the setting and determining operation of the attribute flag, the operator may only lean on the key feature information displayed in the first portion of the list interface, and the corresponding attribute flag cannot be set and determined accurately, and further, the operator needs to refer to the non-key feature information item including the service data to analyze the service data more comprehensively to determine the appropriate attribute flag. In order to meet the above processing requirements, in a specific implementation, referring to fig. 4, a feature information detail display item corresponding to the single service data is further provided in the first portion of the processing interface of the displayed batch processing list.
The characteristic information detail display item comprises a content interface for displaying characteristic information details of corresponding service data, and the content interface can be particularly integrated with various different information such as key characteristic information, non-key characteristic information and the like of the service data. In order not to influence the operator to read the information data in the key characteristic information item normally, the content interface of the characteristic information detail display item is in a hidden state under the condition that the content interface is not triggered normally, namely the content interface of the characteristic information detail display item is not displayed in the list interface directly. Only the icon corresponding to the characteristic information detail presentation item will be simply presented in the first portion of the list interface presented to the operator. When an operator needs to read specific feature information details of the service data, the operation such as clicking an icon of a feature information detail display item of the service data can be triggered. And under the condition that the characteristic information display item is triggered, displaying the corresponding content interface in a pop-up interface mode. See fig. 5. The characteristic information aiming at the service data can be comprehensively displayed in the content interface, including key characteristic information, non-key characteristic information and the like, so that an operator can accurately and comprehensively judge the specific attribute mark hit by the service data according to the characteristic information displayed in the content interface.
In this embodiment, considering that when the operator reads the feature information of the service data on the content interface, if the operator wants to operate the attribute marking item of the service data again, the operator needs to exit the content interface again, and returns to the second part in the list interface to perform corresponding operation on the displayed attribute marking item of the service data. The implementation of operators is relatively complicated and inconvenient, and the treatment efficiency of the operators is also affected.
For the above-mentioned situation, in order to further facilitate the operation and processing of the operator, in a specific implementation, referring to fig. 5, a plurality of attribute marking options are further provided in the content interface. And the attribute marking options in the content interface are linked with the attribute marking options corresponding to the same service data in the list interface of the batch processing list but outside the content interface. Specifically, when an operator operates a certain attribute marking option set in the content interface, the operator can automatically execute the same operation on the same attribute marking option corresponding to the same service data outside the content interface in a linkage manner. Thus, the operator can directly complete the operation of the attribute marking option aiming at the service data in the content interface without exiting the content interface.
In this embodiment, referring to fig. 3, one or more attribute marking options may be specifically displayed in the second portion of the list interface of the displayed batch processing list. Each attribute marking option is used for indicating an attribute marking, and each attribute marking option corresponds to one service data and is used for representing whether the service data hits the indicated attribute marking.
Specifically, referring to fig. 3, the attribute marking options may include: the option for an attribute flag indicating whether "audit pass flag" is hit may be abbreviated as "pass"; the option of an attribute flag for indicating whether the "retract previous process flag" is hit or not may be abbreviated as "retract"; and an option for indicating whether the attribute flag of "reject associated application flag" is hit, may be abbreviated as "reject", or the like. Of course, the attribute marking options listed above are only one illustrative. Other types of attribute marking options may also be included in the implementation, depending on the particular situation and processing requirements. The present specification is not limited to this.
S203: a selection operation of an attribute marking option for business data in the batch processing list is received.
In this embodiment, the operator or the server may perform, in the batch list interface, a corresponding selection operation, such as clicking, hooking, or the like, on the attribute marking option of the service data displayed in the second portion according to the feature information of the service data displayed in the first portion of the batch list interface. The server may receive the selection operation, and determine, according to the selection operation, an attribute flag selected by the operator or the server as an attribute flag hit by the service data. Of course, the above-listed clicking, hooking, etc. selection operations indicate a schematic illustration. In specific implementation, other types of selection operations can be introduced according to specific application scenarios.
S204: and determining the attribute marks hit by the business data in the batch processing list respectively according to the selection operation.
In this embodiment, the server may determine the attribute tag hit by the service data by receiving and performing a selection operation, such as clicking, hooking, or the like, according to the attribute tag option shown in the second portion of the list interface for the batch processing list.
For example, according to the key feature information of a certain piece of service data displayed in the first part of the list interface of the displayed batch processing list, an operator determines that the corresponding piece of service data related verification information is not complete, and can not be authorized temporarily, and the service data needs to be returned to be reprocessed again before returning, and then the "returned to last processing mark option" of the service data in the second part of the row can be clicked, so that the "returned to last processing mark" can be independently set for the piece of service data as the attribute mark hit by the piece of service data.
In this embodiment, the operator or the server may determine, according to the feature information of the service data, the attribute tags hit by the service data by performing the above operation in the attribute tag options displayed in the second portion of the list interface of the batch processing list. Correspondingly, the attribute labels corresponding to the hit attribute labels are respectively and independently set for the business data in the batch processing state according to the attribute labels hit by each business data by collecting and operating the list interface by an operator or a server.
For example, for the service data with the hit attribute marked as the "return previous processing mark", a string of "TUIHUI" may be added to the service data as the attribute mark of the service data to identify the attribute mark hit by the service data. Of course, the above listed attribute tags are only one illustrative. In particular, other types of data may be used as attribute tags for indicating hit attribute tags, as the case may be.
In this embodiment, in implementation, an operator or a server may individually determine, according to a specific situation, one or more different attribute tags hit for the service data in combination with feature information of the service data.
In this embodiment, in order to cope with some special cases, a custom attribute marking option may also be provided in the second portion of the list interface of the illustrated batch processing list. The custom attribute marking option may specifically be a blank option. When the operator or the server determines that the attribute feature condition corresponding to the service data does not belong to any condition represented by the preset attribute marking options in the second part according to the feature information of the service data, the operator or the server can determine that the service data hits the custom attribute marking by clicking the custom attribute marking options, and input the custom attribute marking in the popped custom attribute marking setting dialog box. For example, the operator may fill "warning" in the custom attribute marking dialog box as a custom attribute marking, and further may determine the attribute marking hit by the business data as a custom "warning" marking.
S205: and carrying out batch processing on the business data in the batch processing list according to the attribute marks hit by the business data in the batch processing list.
In this embodiment, the server may determine, according to the attribute flag of the service data included in the batch processing list, a specific situation corresponding to each service data; further, service data corresponding to different conditions in the batch of service data can be distinguished according to specific conditions corresponding to the service data; and then adopting a targeted processing mode to the service data corresponding to the same condition in a targeted manner to carry out batch processing.
In this embodiment, the foregoing batch processing of the service data in the batch processing list according to the attribute tags hit by the service data in the batch processing list may include the following when implemented: dividing the business data in the batch processing list into a plurality of processing groups according to the attribute marks hit by the business data; and carrying out batch processing on the business data in the batch processing list according to the processing group.
Wherein the processing group is associated with an attribute tag. The plurality of service data divided in one processing group corresponds to the same or similar case. And the plurality of business data in the same processing group can be processed in a unified batch by adopting a processing mode corresponding to the processing group.
For example, batch rollback processing or the like may be performed uniformly for a plurality of business data in a processing group associated with "rollback previous processing flag".
According to the above-described manner, when a specific batch processing is performed on a large amount of service data included in the batch processing list, different processing groups can be distinguished by using the processing group as a unit, and a specific batch processing method matched with the processing group can be used for performing the batch processing on a plurality of service data belonging to the same processing group. After the matching processing of each processing group is finished in the above manner, the batch processing of a large amount of business data contained in the target business data is also finished in a differentiated and finer manner.
In this embodiment, when processing groups are specifically divided, service data having the same attribute flag as hit may be divided into one processing group.
For example, the server may first obtain attribute tags of respective service data; and extracting and combining the service data with the same attribute label according to the attribute label, namely the service data with the same attribute label, to obtain a corresponding processing group.
In this embodiment, it is considered that in the scenario of batch processing of service data by banks, there is a certain relevance and similarity to the processing mode adopted when processing some service data with strong relevance in specific feature information situations. Therefore, in the specific implementation, the processing group may be divided according to the degree of association between attribute tags hit by each service data.
In the implementation, the association degree between attribute marks hit by each service data in a plurality of service data can be calculated first; and extracting the service data with the association degree between the hit attribute marks being greater than or equal to a preset association degree threshold value, wherein the characteristic information conditions corresponding to the service data have stronger association, so that the data can be divided into a processing group. And in the subsequent concrete processing, the plurality of business data with stronger relevance in the processing can be processed in a targeted batch.
In this embodiment, it is also considered that for a relatively complex application scenario, an operator or a server may set a plurality of attribute flags for respective service data by operating on the batch processing list described above, respectively. In this case, in implementation, attribute tag combinations hit by each service data may be acquired, and clustering processing may be performed on the plurality of attribute tag combinations to obtain corresponding plurality of combination types. And dividing the hit attribute marking combination into one processing group according to the combination type. And then batch processing can be carried out by adopting a corresponding processing mode for each processing group.
Of course, the above-listed dividing method of the processing group is only a schematic illustration. In the implementation, according to specific application scenarios and processing requirements, other suitable dividing modes can be adopted to divide the plurality of service data into corresponding processing groups according to the hit attribute marks of the service data. The present specification is not limited to this.
Compared with the prior art, the method and the device have the advantages that after the batch processing request for the target service data is received, the batch processing list containing a plurality of attribute mark options is respectively arranged for each service data besides each service data in the target service data is generated and displayed, so that different attribute marks can be flexibly and independently arranged for part of the service data in different conditions in the batch processing state according to specific conditions of the service data in the batch processing process, the service data in the batch processing state can be distinguished and operated, further, finer and more targeted batch processing can be differently carried out for the service data in different conditions according to the attribute marks of the service data, the operation of operators is simplified, the accuracy of the batch processing of the service data is improved, and the processing efficiency is also solved, and the technical problems that the attribute marks cannot be independently arranged for part of the service data in the batch processing state in the batch processing process of the service data in the prior art, and the service data in the batch processing state cannot be distinguished and processed in a specific manner in the batch processing state in the prior art.
In one embodiment, the attribute flag may specifically include at least one of: authorization pass flag, return previous process flag, request review flag, exception data flag, audit pass flag, etc. Of course, the above listed attribute designations are only illustrative. In specific implementation, other types of attribute marks can be introduced according to specific application scenes and processing requirements. The present specification is not limited to this.
In one embodiment, the foregoing batch processing of the service data in the batch processing list according to the attribute tags hit by the service data in the batch processing list may include the following when implemented: dividing the business data in the batch processing list into a plurality of processing groups according to the attribute marks hit by the business data; and carrying out batch processing on the business data in the batch processing list according to the processing group.
In one embodiment, the dividing the service data in the batch processing list into a plurality of processing groups according to the hit attribute flag of the service data may include the following when implemented: calculating the association degree between the attribute marks hit by the service data; and dividing the business data with the association degree between the hit attribute marks being greater than or equal to a preset association degree threshold value into a processing group.
In one embodiment, after determining the attribute tags hit by the service data in the batch processing list according to the selecting operation, the method may further include: and setting an attribute tag corresponding to the hit attribute tag for the service data according to the hit attribute tag of the service data.
In one embodiment, when the service data is implemented, at least one of the following may be included: transfer data to be audited, voucher data to be authorized, application data to be opened with permission, collection service data, payment service data, supply chain service data, draft service data, deposit service data, financial service data and the like. Of course, the above listed business data is only one illustrative. In implementation, according to a specific application scenario, the method provided by the embodiment of the application can be applied to other types of service data. The present specification is not limited to this.
In one embodiment, key feature information display items of the service data are further set in the batch processing list for each service data in the plurality of service data, and are used for displaying key feature information of the service data, where the key feature information of the service data is used for determining attribute marks hit by the service data.
In an embodiment, a feature information detail display item of the service data may be specifically set for each service data in the batch processing list, where a content interface in the feature information detail display item is in a hidden state when not triggered, is in a display state when triggered, and displays a content interface including feature information details of the service data in the display state.
In one embodiment, a plurality of attribute marking options can be specifically arranged in the content interface, wherein the attribute marking options arranged in the content interface are associated with the attribute marking options arranged in the batch processing list and outside the content interface.
From the above description, it can be seen that, after receiving a batch processing request for target service data, the batch processing method for service data provided by the embodiment of the present application generates and displays a batch processing list including a plurality of attribute marking options for each service data, so as to allow, during the batch processing of service data, to flexibly and independently set different attribute marks for part of service data in different situations in a batch processing state according to specific situations of service data, thereby performing a distinguishing operation on service data in a batch processing state in the same batch, and further performing finer and more targeted batch processing on service data belonging to different situations in a distinguishing manner according to the attribute marks of service data, simplifying the operation of operators, improving the accuracy of batch processing of service data, and processing efficiency, and solving the technical problems in the prior art that in the batch processing of service data, the attribute marks cannot be individually set for part of service data in a batch processing state in a flexible manner, and the service data in a batch processing state cannot be handled in a distinguishing manner. And setting feature information display items of corresponding service data for each service data in the plurality of service data in the batch processing list, wherein a content interface in the feature information display items is in a hidden state under the condition of not being triggered and is in a display state under the condition of being triggered so as to display feature information details of the contained service data. And the content interface is further provided with an internal attribute marking option which is linked with an attribute marking option outside the content interface, so that when an operator processes the service data in batches, the operator can conveniently read specific characteristic information details of the service data by triggering the characteristic information display item to enter the content interface, and the attribute marking aiming at the service data is directly arranged on the content interface, thereby further simplifying the operation of the operator and improving the batch processing efficiency.
Based on the same inventive concept, the embodiment of the application also provides a batch processing device for service data, as described in the following embodiment. Because the principle of the batch processing device for service data for solving the problem is similar to that of the batch processing method for service data, the implementation of the batch processing device for service data can refer to the implementation of the batch processing method for service data, and the repetition is omitted. As used below, the term "unit" or "module" may be a combination of software and/or hardware that implements the intended function. While the bulk processing device of traffic data described in the following embodiments is preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated. Referring to fig. 6, a composition structure diagram of a batch processing device for service data provided by an embodiment of the present application is shown, where the device specifically may include: the first receiving module 601, the generating module 602, the second receiving module 603, the determining module 604 and the processing module 605 are specifically described below.
The first receiving module 601 may be specifically configured to receive a batch processing request for target service data, where the target service data includes a plurality of service data to be processed;
The generating module 602 may be specifically configured to respond to the batch processing request, generate and display a batch processing list according to the target service data, where the batch processing list includes each service data in the plurality of service data, and set a plurality of attribute marking options for each service data in the plurality of service data in the batch processing list;
the second receiving module 603 may be specifically configured to receive a selection operation of an attribute marking option for the service data in the batch processing list;
the determining module 604 may be specifically configured to determine, according to the selection operation, an attribute tag hit by each service data in the batch processing list;
the processing module 605 may be specifically configured to perform batch processing on the service data in the batch processing list according to the attribute tags hit by the service data in the batch processing list.
In one embodiment, the attribute flag may specifically include at least one of: authorization pass flag, rollback previous process flag, request review flag, exception data flag, audit pass flag, etc.
In one embodiment, in order to perform batch processing on the service data in the batch processing list according to the attribute tags hit by the service data in the batch processing list, the processing module 605 may specifically include the following structural units:
The grouping unit is specifically configured to divide the service data in the batch processing list into a plurality of processing groups according to the attribute marks hit by the service data;
the processing unit is specifically configured to perform batch processing on the service data in the batch processing list according to the processing group.
In one embodiment, the grouping unit may be configured to calculate a degree of association between attribute tags hit by the service data when the grouping unit is implemented; and dividing the business data with the association degree between the hit attribute marks being greater than or equal to a preset association degree threshold value into a processing group.
In one embodiment, when the determining module 604 is specifically implemented, after determining, according to the selecting operation, the attribute tags hit by the service data in the batch processing list, the attribute tags corresponding to the hit attribute tags may be set for the service data according to the hit attribute tags of the service data.
In one embodiment, the service data may specifically include at least one of the following: transfer data to be audited, voucher data to be authorized, application data to be opened, collection service data, payment service data, supply chain service data, draft service data, deposit service data, financial service data and the like.
In one embodiment, a key feature information display item of the service data is further set in the batch processing list generated by the generating module 602 for each service data in the plurality of service data, and is used for displaying key feature information of the service data, where the key feature information of the service data is used for determining an attribute tag hit by the service data.
In one embodiment, a feature information detail display item of the service data is further set in the batch processing list generated by the generating module 602 for each service data in the plurality of service data, where a content interface in the feature information detail display item is in a hidden state when not triggered, is in a display state when triggered, and displays a content interface containing feature information details of the service data in the display state.
In one embodiment, a plurality of attribute marking options are further provided in the content interface generated by the generating module 602, where the attribute marking options provided in the content interface are associated with attribute marking options provided in the batch list and outside the content interface.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
It should be noted that the system, apparatus, module, or unit set forth in the above embodiments may be implemented by a computer chip or entity, or may be implemented by a product having a certain function. For convenience of description, in this specification, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each element may be implemented in the same piece or pieces of software and/or hardware when implementing the present application.
Moreover, in this specification, adjectives such as first and second may be used solely to distinguish one element or action from another element or action without necessarily requiring or implying any actual such relationship or order. Where the environment permits, reference to an element or component or step (etc.) should not be construed as limited to only one of the element, component, or step, but may be one or more of the element, component, or step, etc.
From the above description, it can be seen that, after the batch processing device for service data provided by the embodiment of the present application receives a batch processing request for target service data through the first receiving module, a batch processing list including a plurality of attribute marking options is generated and displayed through the generating module, and is also provided for each service data, so as to allow, during the batch processing of service data, different attribute marks to be flexibly set for part of service data in different situations according to specific situations of service data, thereby performing a distinguishing operation on service data in a batch processing state in a same batch, so that finer and more specific batch processing can be performed for service data in different situations in a distinguishing manner according to the respective attribute marks of service data, operation of operators is simplified, accuracy of batch processing of service data is improved, and processing efficiency is also solved, where in the existing method, attribute marks cannot be flexibly set for part of service data alone in the batch processing of service data is not possible, and the problem of performing the distinguishing and the batch processing of service data in the batch processing in a specific manner is solved.
The embodiment of the application also provides a server, and in particular, the composition structure schematic diagram of the server based on the batch processing method of service data provided by the embodiment of the application shown in fig. 7 can be referred to, and the electronic device can include an input device 71, a processor 72 and a memory 73. Wherein the input device 71 may be specifically configured to receive a batch processing request for target service data, where the target service data includes a plurality of service data to be processed. The processor 72 may be specifically configured to generate and display a batch processing list according to the target service data in response to the batch processing request, where the batch processing list includes each service data in the plurality of service data, and set a plurality of attribute marking options for each service data in the plurality of service data in the batch processing list; receiving a selection operation of an attribute marking option for service data in the batch processing list; determining attribute marks hit by the business data in the batch processing list respectively according to the selection operation; and carrying out batch processing on the business data in the batch processing list according to the attribute marks hit by the business data in the batch processing list. The memory 73 may be used in particular for storing a corresponding program of instructions.
In this embodiment, the input device may specifically be one of the main apparatuses for exchanging information between the user and the computer system. The input device may include a keyboard, mouse, camera, scanner, light pen, handwriting input board, voice input device, etc.; the input device is used to input raw data and a program for processing these numbers into the computer. The input device may also acquire and receive data transmitted from other modules, units, and devices. The processor may be implemented in any suitable manner. The processor may be implemented in any suitable manner. For example, the processor may take the form of, for example, a microprocessor or processor, and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a programmable logic controller, and an embedded microcontroller, among others. The memory may in particular be a memory device for storing information in modern information technology. The memory may comprise a plurality of levels, and in a digital system, may be memory as long as binary data can be stored; in an integrated circuit, a circuit with a memory function without a physical form is also called a memory, such as a RAM, a FIFO, etc.; in the system, the storage device in physical form is also called a memory, such as a memory bank, a TF card, and the like.
In this embodiment, the functions and effects specifically implemented by the server may be explained in comparison with other embodiments, which are not described herein.
The embodiment of the application also provides a computer storage medium of the batch processing method based on the business data, wherein the computer storage medium stores computer program instructions which are realized when being executed: receiving a batch processing request for target service data, wherein the target service data comprises a plurality of service data to be processed; responding to the batch processing request, generating and displaying a batch processing list according to the target service data, wherein the batch processing list comprises each service data in a plurality of service data, and a plurality of attribute marking options are respectively set for each service data in the plurality of service data in the batch processing list; receiving a selection operation of an attribute marking option for service data in the batch processing list; determining attribute marks hit by the business data in the batch processing list respectively according to the selection operation; and carrying out batch processing on the business data in the batch processing list according to the attribute marks hit by the business data in the batch processing list.
In the present embodiment, the storage medium includes, but is not limited to, a random access Memory (Random Access Memory, RAM), a Read-Only Memory (ROM), a Cache (Cache), a Hard Disk (HDD), or a Memory Card (Memory Card). The memory may be used to store computer program instructions. The network communication unit may be an interface for performing network connection communication, which is set in accordance with a standard prescribed by a communication protocol.
In this embodiment, the functions and effects of the program instructions stored in the computer storage medium may be explained in comparison with other embodiments, and are not described herein.
Although various embodiments are described in this disclosure, the present application is not limited to the specific embodiments described in the industry standard or examples, and some industry standard or embodiments modified in light of the above description may be used to achieve the same, equivalent or similar embodiments or the same or a different embodiment may be implemented in different forms. Examples of data acquisition, processing, output, judgment, etc. using these modifications or variations are still within the scope of alternative embodiments of the present application.
Although the application provides method operational steps as described in the examples or flowcharts, more or fewer operational steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When implemented by an apparatus or client product in practice, the methods illustrated in the embodiments or figures may be performed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment, or even in a distributed data processing environment). The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, it is not excluded that additional identical or equivalent elements may be present in a process, method, article, or apparatus that comprises a described element.
The apparatus or module, etc. set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. For convenience of description, the above devices are described as being functionally divided into various modules, respectively. Of course, when implementing the present application, the functions of each module may be implemented in the same or multiple pieces of software and/or hardware, or a module implementing the same function may be implemented by a combination of multiple sub-modules. The above-described apparatus embodiments are merely illustrative, and the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed.
Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller can be regarded as a hardware component, and means for implementing various functions included therein can also be regarded as a structure within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, classes, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
From the above description of embodiments, it will be apparent to those skilled in the art that the present application may be implemented in software plus a necessary general hardware platform. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a mobile terminal, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments of the present application.
Various embodiments in this specification are described in a progressive manner, and identical or similar parts are all provided for each embodiment, each embodiment focusing on differences from other embodiments. The application is operational with numerous general purpose or special purpose computer system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
Although the present application has been described by way of examples, one of ordinary skill in the art will recognize that there are many variations and modifications of the present application without departing from the spirit of the application, and it is intended that the appended embodiments encompass such variations and modifications without departing from the application.
Claims (10)
1. The batch processing method of the business data is characterized by comprising the following steps:
receiving a batch processing request for target service data, wherein the target service data comprises a plurality of service data to be processed;
responding to the batch processing request, generating and displaying a batch processing list according to the target service data, wherein the batch processing list comprises each service data in a plurality of service data, and a plurality of attribute marking options are respectively set for each service data in the plurality of service data in the batch processing list;
receiving a selection operation of an attribute marking option for service data in the batch processing list;
determining attribute marks hit by the business data in the batch processing list respectively according to the selection operation;
carrying out batch processing on the business data in the batch processing list according to the attribute marks hit by the business data in the batch processing list; the method specifically comprises the following steps: calculating the association degree between the attribute marks hit by the service data; dividing the business data with the association degree between the hit attribute marks being greater than or equal to a preset association degree threshold value into a processing group; and distinguishing different conditions corresponding to different processing groups, and carrying out batch processing on the business data in the batch processing list by adopting a targeted processing mode according to the processing groups.
2. The method of claim 1, wherein the attribute tags include at least one of: authorization pass flag, return previous process flag, request review flag, exception data flag, audit pass flag.
3. The method of claim 1, wherein after determining the attribute tags hit by the business data in the batch processing list, respectively, according to the selecting operation, the method further comprises:
and setting an attribute tag corresponding to the hit attribute tag for the service data according to the hit attribute tag of the service data.
4. The method of claim 1, wherein the traffic data comprises at least one of: transfer data to be audited, voucher data to be authorized, application data of authority to be opened, collection service data, payment service data, supply chain service data, draft service data, deposit service data and financial service data.
5. The method according to claim 1, wherein key feature information display items of service data are further set in the batch processing list for each service data in the plurality of service data, and are used for displaying key feature information of service data, wherein the key feature information of service data is used for determining attribute marks hit by service data.
6. The method according to claim 5, wherein feature information detail display items of service data are further set in the batch processing list for each service data in the plurality of service data, wherein a content interface in the feature information detail display items is in a hidden state when not triggered, is in a display state when triggered, and displays a content interface containing feature information details of service data in the display state.
7. The method of claim 6, wherein a plurality of attribute marking options are also provided within the content interface, wherein an attribute marking option provided within the content interface is associated with an attribute marking option provided in the batch list and outside of the content interface.
8. A batch processing apparatus for service data, comprising:
the first receiving module is used for receiving a batch processing request aiming at target service data, wherein the target service data comprises a plurality of service data to be processed;
the generation module is used for responding to the batch processing request, generating and displaying a batch processing list according to the target service data, wherein the batch processing list comprises each service data in a plurality of service data, and a plurality of attribute marking options are respectively set for each service data in the plurality of service data in the batch processing list;
The second receiving module is used for receiving the selection operation of the attribute marking options aiming at the service data in the batch processing list;
the determining module is used for determining attribute marks hit by the business data in the batch processing list respectively according to the selection operation;
the processing module is used for carrying out batch processing on the business data in the batch processing list according to the attribute marks hit by the business data in the batch processing list respectively; the processing module is specifically used for calculating the association degree between the attribute marks hit by the service data; dividing the business data with the association degree between the hit attribute marks being greater than or equal to a preset association degree threshold value into a processing group; and distinguishing different conditions corresponding to different processing groups, and carrying out batch processing on the business data in the batch processing list by adopting a targeted processing mode according to the processing groups.
9. A server comprising a processor and a memory for storing processor executable instructions, wherein the processor, when executing the instructions, implements the steps of the method of any one of claims 1 to 7.
10. A computer readable storage medium having stored thereon computer instructions, which when executed, implement the steps of the method of any of claims 1 to 7.
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| CN112835932B (en) * | 2021-01-11 | 2024-05-28 | 中国邮政储蓄银行股份有限公司 | Batch processing method and device for business table and nonvolatile storage medium |
| CN112925752A (en) * | 2021-02-25 | 2021-06-08 | 平安普惠企业管理有限公司 | Batch file processing method and device, electronic equipment and storage medium |
| CN113010742B (en) * | 2021-03-01 | 2023-03-21 | 歌尔微电子股份有限公司 | Data processing method, device, equipment and medium |
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