CN114416852A - Data processing method, device, equipment and medium - Google Patents
Data processing method, device, equipment and medium Download PDFInfo
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- CN114416852A CN114416852A CN202210103463.5A CN202210103463A CN114416852A CN 114416852 A CN114416852 A CN 114416852A CN 202210103463 A CN202210103463 A CN 202210103463A CN 114416852 A CN114416852 A CN 114416852A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/283—Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
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- G06—COMPUTING; CALCULATING OR COUNTING
- 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
Abstract
The embodiment of the application provides a data processing method, a data processing device, data processing equipment and a data processing medium. The method comprises the following steps: receiving a service requirement request sent by target equipment, wherein the service requirement request comprises an identifier of the target equipment, service data and service requirement information; acquiring a plurality of data tables corresponding to the identification of the target equipment based on the corresponding relation between the preset equipment identification and the data tables; under the condition that the target data table corresponding to the service demand information is not included in the plurality of data tables, calculating a calculation result corresponding to the service demand information based on a preset service rule, the service data and the service demand information; generating a target data table corresponding to the service demand information based on the calculation result and the service data; and sending the target data table to the target equipment. According to the embodiment of the application, the situation of repeated calculation is avoided, the waste of resources can be reduced, and meanwhile, the data processing efficiency can be improved.
Description
Technical Field
The present application relates to the field of data processing, and in particular, to a data processing method, apparatus, device, and medium.
Background
An existing data warehouse generally comprises a data detail layer, a data middle layer and data marts, wherein the data middle layer is established on the basis of the data detail layer, and the data middle layer can be connected with a plurality of data marts so as to realize data processing based on the architecture and further obtain a data table meeting user requirements.
However, each data mart corresponds to a single theme domain, such as risk, financial accounting, and the like, so that when the data mart calls data in the data middle layer for processing based on user requirements, other data marts may have already calculated a data table corresponding to the user requirements, but since preset business rules in each data mart are inconsistent, a situation of repeated calculation may occur, which not only wastes resources, but also reduces data processing efficiency.
Disclosure of Invention
Embodiments of the present application provide a data processing method, apparatus, device, and medium, which can improve data processing efficiency while reducing resource waste.
In a first aspect, an embodiment of the present application provides a data processing method, where the method includes: receiving a service requirement request sent by target equipment, wherein the service requirement request comprises an identifier of the target equipment, service data and service requirement information;
acquiring a plurality of data tables corresponding to the identification of the target equipment based on the corresponding relation between the preset equipment identification and the data tables;
under the condition that the target data table corresponding to the service demand information is not included in the plurality of data tables, calculating a calculation result corresponding to the service demand information based on a preset service rule, the service data and the service demand information;
generating a target data table corresponding to the service demand information based on the calculation result and the service data;
and sending the target data table to the target equipment.
In an optional implementation of the first aspect, the method further comprises:
and under the condition that the plurality of data tables comprise a target data table corresponding to the service demand information, sending the target data table to the target equipment.
In an optional implementation manner of the first aspect, acquiring, based on a preset correspondence between a device identifier and a data table, multiple data tables corresponding to an identifier of a target device includes:
acquiring a corresponding relation between a preset device identifier stored in the logic model and a data table;
and acquiring a plurality of data tables corresponding to the identification of the target equipment based on the identification of the target equipment and the corresponding relation between the preset equipment identification and the data tables.
In an optional implementation manner of the first aspect, the business data includes transaction information, account information, subscription information, and product information of the target user for purchasing the financial product.
In an alternative embodiment of the first aspect, the financial product comprises a financial product, fund or treasury.
In an optional implementation manner of the first aspect, the preset business rule is set based on the business data and the business requirement information.
In a second aspect, an embodiment of the present application provides a data processing apparatus, including:
the receiving module is used for receiving a service requirement request sent by target equipment, wherein the service requirement request comprises an identifier of the target equipment, service data and service requirement information;
the acquisition module is used for acquiring a plurality of data tables corresponding to the identifier of the target equipment based on the corresponding relation between the preset equipment identifier and the data tables;
the calculation module is used for calculating a calculation result corresponding to the service demand information on the basis of a preset service rule, the service data and the service demand information under the condition that the target data table corresponding to the service demand information is not included in the plurality of data tables;
the generating module is used for generating a target data table corresponding to the service demand information based on the calculation result and the service data;
and the sending module is used for sending the target data table to the target equipment.
In a third aspect, a data processing apparatus is provided, including: a memory for storing computer program instructions; and the processor is used for reading and executing the computer program instructions stored in the memory so as to execute the data processing method provided by any optional implementation mode of the first aspect and the second aspect.
In a fourth aspect, a computer storage medium is provided, on which computer program instructions are stored, which when executed by a processor implement the resource space method provided by any of the optional embodiments of the first and second aspects.
In a fifth aspect, a computer program product is provided, and instructions in the computer program product, when executed by a processor of an electronic device, cause the electronic device to execute the data processing method provided in any optional implementation manner of the first and second aspects.
In the data processing method, the apparatus, the device, and the medium according to the embodiments of the present application, a service requirement request including an identifier of a target device, service data, and service requirement information, which is sent by the target device, and a plurality of data tables corresponding to the identifier of the target device, which are obtained based on a preset correspondence between the device identifier and the data tables, may be received, and when the plurality of data tables do not include the target data table corresponding to the service requirement information, a calculation result corresponding to the service requirement information is calculated based on a preset service rule, the service data, and the service requirement information, and then a target data table corresponding to the service requirement information may be generated based on the calculation result and the service data, and the generated target data table is sent to the target device, so that a situation of repeated calculation is avoided, and further, waste of resources may be reduced, meanwhile, the data processing efficiency can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a data processing method provided in an embodiment of the present application;
FIG. 2 is a schematic flow chart diagram of another data processing method provided in the embodiments of the present application;
fig. 3 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a data processing device according to an embodiment of the present application.
Detailed Description
Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are intended to be illustrative only and are not intended to be limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone.
In order to solve the problem of low data processing efficiency while wasting resources in the prior art, embodiments of the present application provide a data processing method, an apparatus, a device, and a medium, where the method mainly includes receiving a service requirement request including an identifier of a target device, service data, and service requirement information sent by the target device, and obtaining a plurality of data tables corresponding to the identifier of the target device based on a preset correspondence between the device identifier and the data tables, and in a case where the plurality of data tables do not include a target data table corresponding to service requirement information, calculating a calculation result corresponding to the service requirement information based on a preset service rule, the service data, and the service requirement information, and further generating a target data table corresponding to the service requirement information based on the calculation result and the service data, and sending the generated target data table to the data processing apparatus,
in the data processing method provided by the present application, the execution main body may be a data processing apparatus, or a partial module used for executing the data processing method in the data processing apparatus. In the embodiment of the present application, a data processing method performed by a data processing apparatus is taken as an example, and the data processing method provided in the embodiment of the present application is described in detail.
The following describes in detail a data processing method, an apparatus, a device, and a storage medium provided in the embodiments of the present application with specific embodiments in conjunction with the accompanying drawings.
Fig. 1 is a schematic flowchart of a data processing method according to an embodiment of the present application.
As shown in fig. 1, the main execution body of the data processing method is a data processing apparatus, and specifically includes the following steps:
s110, receiving a service requirement request sent by the target equipment.
The target device may be a server, a terminal, and the like on the client side, and the service requirement request includes an identifier of the target device, service data, and service requirement information.
The service data may be raw data without any processing. In one embodiment, the business data further includes transaction information, account information, subscription information, and product information for the user to purchase the financial product. Financial products include financial products, funds or treasures. The business requirement information may be a user investment financial product holding representation. In addition, the service requirement information may be a data index required by the target device, for example, the service requirement information may be a daily average value of financial products purchased by the target device within a preset time period.
Specifically, the data processing apparatus may receive and analyze a service requirement request sent by the target device, so as to obtain an identifier of the target device, service data, and service requirement information included in the service requirement request. Therefore, the business requirement information in the business requirement request is taken as a target, and the existing business data is processed, so that the business decision making method is more beneficial to assisting the business management personnel to make business decisions such as management decisions, marketing decisions, product innovation, risk management and control and the like more scientifically and efficiently.
In an example, taking the construction of the holding portrait of the user investment financial product as an example, the data processing device may analyze, based on the received business requirement request, data of core keys, such as an identifier of the target device, business data, business requirement information, and the like, included in the business requirement request, so as to facilitate a demander to perform processing according to the analyzed data, so as to construct the holding portrait of the user investment financial product.
And S120, acquiring a plurality of data tables corresponding to the identification of the target device based on the corresponding relation between the preset device identification and the data tables.
The preset correspondence between the device identifier and the data table may be a correspondence between a device identifier of a device and a data table in advance of the data table of each device obtained based on history.
Specifically, the data processing apparatus may obtain a plurality of data tables corresponding to the identifier of the target device based on a preset correspondence between the device identifier and the data table. Therefore, the data table corresponding to the identifier of the target device can be obtained, so that whether the data tables corresponding to the service demand information exist in the plurality of data tables can be judged in the following process, the situation of repeated calculation can be avoided, the waste of resources is reduced, and the data processing efficiency can be improved.
And S130, under the condition that the target data table corresponding to the service requirement information is not included in the plurality of data tables, calculating a calculation result corresponding to the service requirement information based on a preset service rule, the service data and the service requirement information.
The preset service rule may be set based on the service data and the service requirement information, where the preset service rule includes a condition for screening the service data, for example, a transaction amount in the transaction information is lower than X, time involved in the subscription information needs to be within a preset time period, and the product information represents that the financial product is a financial product, and the like, and is not limited specifically herein. The preset business rules may also include calculation rules, that is, calculation rules for obtaining the business requirement information based on the business data. The calculation result may be a data index required by the service demand information, and is not specifically limited herein.
Under the condition that the target data table corresponding to the service demand information is not included in the plurality of data tables corresponding to the target device, that is, under the condition that the target data table corresponding to the service demand information is not generated by the data processing device, the service data can be screened based on the condition of screening the service data in the preset service rule, and then the calculation result corresponding to the service demand information is calculated based on the calculation rule included in the preset service rule, the service data obtained after screening and the service demand information. Therefore, by judging whether the target data table corresponding to the service demand information exists in the plurality of data tables or not, the situation of repeated calculation can be avoided, and the situation that a large number of data tables with different synonyms and different synonyms with the same name occur is further avoided.
In addition, in order to ensure the accuracy of data processing, in an embodiment, the preset service rule may be evaluated through a preset operation to judge the reasonability of the preset service rule, and the preset service rule is subjected to a penetrating operation under the condition that the preset service rule is unreasonable to reduce the preset service rule, so as to ensure the accuracy of data processing.
And S140, generating a target data table corresponding to the service demand information based on the calculation result and the service data.
The data processing apparatus may generate the target data table corresponding to the service demand information based on the obtained calculation result and the service data using the physical model in a case where the calculation result corresponding to the service demand information is obtained by calculation. Therefore, the target data table corresponding to the service requirement information can be conveniently sent to the target equipment subsequently, and the data delivery efficiency is improved.
In addition, the format of the target data table can be converted based on an access model so as to be provided for the target device to use, wherein the access model comprises an asset collection point such as a multi-dimensional model supporting autonomous number organization, a formation index or label library and the like, a modeling feature library is provided for data modeling, a wide table facing application access and the like.
In addition, it should be noted that, when generating the target data table corresponding to the service requirement information, no new data index having service significance is generated, and only the change of the data structure without service significance and part of special calculation are performed. For example, only data content is changed in the same period of the last year, the last month end time, the same ratio, the ring ratio, the earlier period of the ratio and the like, new data indexes with business significance and statistics on business data indexes are not generated, and data indexes and statistical value unit changes finished in an access area or a service or report tool are collected and counted according to organization equipment. In addition, data redundancy needs to be avoided as much as possible, and other service data and data derived from the service data except the data of the primary key and the core common field of the target data table may not be repeated in the target data table as much as possible. For example, taking the example of building a representation of a proprietary customer holding a financial product, it may be placed centrally in one data table, without the need for duplication in other data tables.
And S150, sending the target data table to the target equipment.
Specifically, after the data processing apparatus generates the target data table corresponding to the service requirement information, the target data table corresponding to the service requirement information may be directly transmitted to the target device.
According to the embodiment of the application, the service requirement request including the identification of the target equipment, the service data and the service requirement information sent by the target equipment can be received, the multiple data tables corresponding to the identification of the target equipment are obtained based on the corresponding relation between the preset equipment identification and the data tables, under the condition that the multiple data tables do not include the target data table corresponding to the service requirement information, the calculation result corresponding to the service requirement information is calculated based on the preset service rule, the service data and the service requirement information, further, the target data table corresponding to the service requirement information can be generated based on the calculation result and the service data, and the generated target data table is sent to the target equipment.
In an embodiment, the data processing method further includes:
and under the condition that the plurality of data tables comprise a target data table corresponding to the service demand information, sending the target data table to the target equipment.
Specifically, when the plurality of data tables corresponding to the identifier of the target device include the target data table corresponding to the service demand information, calculation is not required to be performed with the service demand information as a target, the target data table corresponding to the service demand information is generated, and the existing target data table can be directly sent to the target device. Therefore, the situation of repeated calculation is avoided, the waste of resources can be reduced, and meanwhile, the data processing efficiency can be improved.
In order to more fully describe the data processing method provided in the embodiment of the present application, in an embodiment, the above-mentioned step S120 may specifically include the following steps:
s210, acquiring the corresponding relation between the preset equipment identification stored in the logic model and the data table.
Specifically, since the preset correspondence between the device identifier and the data table is stored in the logical model constructed by the data processing apparatus, the data processing apparatus can obtain the correspondence between the preset device identifier and the data table from the logical model.
S220, acquiring a plurality of data tables corresponding to the identification of the target equipment based on the identification of the target equipment and the corresponding relation between the preset equipment identification and the data tables.
After the data processing apparatus obtains the preset correspondence between the device identifier and the data table, the data processing apparatus may retrieve, based on the identifier of the target device, a plurality of data tables corresponding to the identifier of the target device from the preset correspondence between the device identifier and the data table.
In this embodiment, by obtaining the corresponding relationship between the preset device identifier stored in the logic model and the data tables, and based on this, the identifier of the target device is used to obtain the multiple data tables corresponding to the target identifier, which is convenient for subsequently judging whether the obtained multiple data tables corresponding to the target identifier include the target data table corresponding to the service demand information, so as to avoid the situation of repeated calculation, reduce the waste of data resources, and improve the data processing efficiency.
It should be noted that the logical model involved in the data processing method provided in the embodiment of the present application is required to organize all the service data and data derived based on the service data according to the data granularity, according to the overall optimal principle, so as to implement the data processing method provided in the embodiment of the present application, thereby improving the data delivery capability. The service data is from a data lake, the related storage period and the storage strategy need to meet preset requirements, and if the storage period and the storage strategy do not meet the preset requirements, negotiation and modification are required to be carried out with the data lake in a signal mode.
In addition, in a specific implementation, the logic model may have the following advantages:
first, ensure data integrity, i.e., all the computing data in the existing data warehouse can be integrated, e.g., business data required to cover individual applications and businesses, and data derived based on the business data. Secondly, based on the corresponding relation between the preset device identification and the data table stored in the logic model, the situation of data repeated calculation can be avoided, and further the situation that a large number of data tables with the same name and different synonyms and different names are used is avoided. And thirdly, the logic model can optimize the related business rules by analyzing and penetrating the business rules, so that the data processing efficiency can be improved. Fourthly, through a multi-level model classification system facing business, the logic model is convenient to accurately use related data.
In addition, in order to facilitate understanding of the physical model involved in the data processing method provided in the embodiment of the present application, the physical model may be described in detail below.
The physical model is a physical model which is based on the logic model, is established according to the enterprise-level data dictionary specification, has clear hierarchy and standard naming and is convenient to calculate. The construction of the physical model should follow the following rules:
first, when constructing a physical model, it is desirable to minimize unnecessary redundancy of data indexes related to a data table. The redundancy case is limited to data derived from the service data, but the redundancy case of the service data can be considered appropriately.
Secondly, the physical model should fully consider some requirements of various databases on performance, such as distribution key selection, partitioning and other mechanisms, during design, so as to realize minimum capacity data storage and fastest query response.
Thirdly, when the physical model generates the target data table of the target device, the granularity of the entity involved in the logical model should not be changed, and when the target data table is generated, the logical model should take into account the factors of the complexity of data processing, query performance, timeliness of data processing, statistical frequency, model stability and the like, and data indexes belonging to the same granularity are all put in the same logical model. And the physical model may take into account business data and different data tables derived from the business data.
Based on the above, after the logical model and the physical model are obtained, data development, testing and commissioning can be performed on the data. The data development process comprises the following steps: SDM document filling, code production, scheduling information registration and configuration. The scheduling information registration configuration needs to conform to the development specifications, as well as the scripting specifications and scheduling command specifications. After the data development is completed, the data needs to be tested, for example, script and scheduling tests are completed, test reports are written, and reports are published and filed.
In this manner, data services may be published according to a unified data service specification, wherein the service types of the data services include a general query service, a schematized query service, and an asynchronous data service. Based on this, much basic development work can be reduced. In addition, in order to support data application more swiftly, data development, data service, data application and the like of commonality can be constructed so as to cover the commonality capability of various links of data application. Meanwhile, based on data and technology, a scene-oriented application support environment is formed, and comprises a service-oriented self-service application platform, a technician-oriented configuration application development mode and a high-level developer-oriented flexible and customizable data application development capacity, so that the data application requirements of different levels of personnel are met.
Based on the same inventive concept, the embodiment of the application also provides a data processing device. The description will be made with reference to FIG. 3
Fig. 3 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application.
As shown in fig. 3, the data processing apparatus 300 may include: a receiving module 310, an obtaining module 320, a calculating module 330, a generating module 340, and a sending module 350.
The receiving module is used for receiving a service requirement request sent by target equipment, wherein the service requirement request comprises an identifier of the target equipment, service data and service requirement information;
the acquisition module is used for acquiring a plurality of data tables corresponding to the identifier of the target equipment based on the corresponding relation between the preset equipment identifier and the data tables;
the calculation module is used for calculating a calculation result corresponding to the service demand information on the basis of a preset service rule, the service data and the service demand information under the condition that the target data table corresponding to the service demand information is not included in the plurality of data tables;
the generating module is used for generating a target data table corresponding to the service demand information based on the calculation result and the service data;
and the sending module is used for sending the target data table to the target equipment.
In an embodiment, the sending module is further configured to send the target data table to the target device when the target data table corresponding to the service requirement information is included in the plurality of data tables.
In one embodiment, the obtaining module is specifically configured to:
acquiring a corresponding relation between a preset device identifier stored in the logic model and a data table;
and acquiring a plurality of data tables corresponding to the identification of the target equipment based on the identification of the target equipment and the corresponding relation between the preset equipment identification and the data tables.
In one embodiment, the business data includes transaction information, account information, subscription information, and product information for a target user to purchase a financial product.
In one embodiment, the financial product comprises a financial product, fund, or treasury.
In one embodiment, the preset business rules are set based on the business data and the business requirement information.
According to the embodiment of the application, the service requirement request including the identification of the target equipment, the service data and the service requirement information sent by the target equipment can be received, the multiple data tables corresponding to the identification of the target equipment are obtained based on the corresponding relation between the preset equipment identification and the data tables, under the condition that the multiple data tables do not include the target data table corresponding to the service requirement information, the calculation result corresponding to the service requirement information is calculated based on the preset service rule, the service data and the service requirement information, further, the target data table corresponding to the service requirement information can be generated based on the calculation result and the service data, and the generated target data table is sent to the target equipment.
Each module in the data processing apparatus provided in the embodiment of the present application may implement the method steps in the embodiments shown in fig. 1 or fig. 2, and can achieve the corresponding technical effects, and for brevity, no further description is given here.
Fig. 4 is a schematic structural diagram of a data processing device according to an embodiment of the present application.
As shown in fig. 4, the data processing device 400 in the present embodiment includes an input device 401, an input interface 402, a central processing unit 403, a memory 404, an output interface 405, and an output device 406. The input interface 402, the central processing unit 403, the memory 404, and the output interface 405 are connected to each other through a bus 410, and the input device 401 and the output device 406 are connected to the bus 410 through the input interface 402 and the output interface 405, respectively, and further connected to other components of the data processing device 400.
Specifically, the input device 401 receives input information from the outside and transmits the input information to the central processor 403 through the input interface 402; the central processor 403 processes the input information based on computer-executable instructions stored in the memory 404 to generate output information, stores the output information temporarily or permanently in the memory 404, and then transmits the output information to the output device 406 through the output interface 405; output device 406 outputs the output information to the exterior of data processing device 400 for use by a user.
In one embodiment, the data processing apparatus 400 shown in FIG. 4 comprises: a memory 404 for storing programs; a processor 403, configured to execute the program stored in the memory to perform the method of the embodiment shown in fig. 1 or fig. 2 provided by the embodiment of the present application.
Embodiments of the present application further provide a computer-readable storage medium having computer program instructions stored thereon; the computer program instructions, when executed by a processor, implement the method of the embodiments shown in fig. 1 or fig. 2 provided by the embodiments of the present application.
It is to be understood that the present application is not limited to the particular arrangements and instrumentality described above and shown in the attached drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions or change the order between the steps after comprehending the spirit of the present application.
The functional blocks shown in the above structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic Circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of machine-readable media include electronic circuits, semiconductor Memory devices, Read-Only memories (ROMs), flash memories, erasable ROMs (eroms), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
As will be apparent to those skilled in the art, for convenience and brevity of description, the specific working processes of the systems, modules and units described above may refer to corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application.
Claims (10)
1. A method of data processing, the method comprising:
receiving a service requirement request sent by target equipment, wherein the service requirement request comprises an identifier of the target equipment, service data and service requirement information;
acquiring a plurality of data tables corresponding to the identification of the target equipment based on the corresponding relation between the preset equipment identification and the data tables;
under the condition that a target data table corresponding to the service demand information is not included in the plurality of data tables, calculating a calculation result corresponding to the service demand information based on a preset service rule, the service data and the service demand information;
generating a target data table corresponding to the service demand information based on the calculation result and the service data;
and sending the target data table to target equipment.
2. The method of claim 1, further comprising:
and under the condition that the plurality of data tables comprise a target data table corresponding to the service demand information, sending the target data table to target equipment.
3. The method according to claim 1, wherein obtaining a plurality of data tables corresponding to the identifier of the target device based on a preset correspondence between device identifiers and data tables comprises:
acquiring a corresponding relation between a preset device identifier stored in the logic model and a data table;
and acquiring a plurality of data tables corresponding to the identification of the target equipment based on the identification of the target equipment and the preset corresponding relation between the equipment identification and the data tables.
4. The method of claim 1, wherein the business data includes transaction information, account information, subscription information, and product information for a user to purchase a financial product.
5. The method of claim 1, wherein the financial product comprises a financial product, a fund, or a treasury.
6. The method of claim 1, wherein the preset business rule is set based on the business data and business requirement information.
7. A data processing apparatus, characterized in that the apparatus comprises:
the system comprises a receiving module, a sending module and a receiving module, wherein the receiving module is used for receiving a service requirement request sent by target equipment, and the service requirement request comprises an identifier of the target equipment, service data and service requirement information;
the acquisition module is used for acquiring a plurality of data tables corresponding to the identification of the target equipment based on the corresponding relation between the preset equipment identification and the data tables;
the calculation module is used for calculating a calculation result corresponding to the service demand information on the basis of a preset service rule, the service data and the service demand information under the condition that a target data table corresponding to the service demand information is not included in the plurality of data tables;
the generating module is used for generating a target data table corresponding to the service demand information based on the calculation result and the service data;
and the sending module is used for sending the target data table to the target equipment.
8. An information processing apparatus characterized by comprising: a processor and a memory storing computer program instructions;
the processor reads and executes the computer program instructions to implement the data processing method of any one of claims 1 to 6.
9. A computer storage medium, characterized in that it has stored thereon computer program instructions which, when executed by a processor, implement a data processing method according to any one of claims 1 to 6.
10. A computer program product, characterized in that instructions in the computer program product, when executed by a processor of an electronic device, cause the electronic device to perform the data processing method according to any of claims 1-6.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117251713A (en) * | 2023-10-11 | 2023-12-19 | 易方达基金管理有限公司 | Data processing method, device, terminal equipment and medium for buying quantity service |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117251713A (en) * | 2023-10-11 | 2023-12-19 | 易方达基金管理有限公司 | Data processing method, device, terminal equipment and medium for buying quantity service |
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