CN116756219A - Data processing method, device, equipment and computer storage medium - Google Patents

Data processing method, device, equipment and computer storage medium Download PDF

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Publication number
CN116756219A
CN116756219A CN202310295971.2A CN202310295971A CN116756219A CN 116756219 A CN116756219 A CN 116756219A CN 202310295971 A CN202310295971 A CN 202310295971A CN 116756219 A CN116756219 A CN 116756219A
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Prior art keywords
transaction information
transaction
information
report
date
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涂梅生
袁平
邹昌宏
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China Construction Bank Corp
CCB Finetech Co Ltd
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China Construction Bank Corp
CCB Finetech Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/248Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21Design, administration or maintenance of databases
    • G06F16/215Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2474Sequence data queries, e.g. querying versioned data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/283Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

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  • Databases & Information Systems (AREA)
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Abstract

The application discloses a data processing method, a device, equipment and a computer storage medium, and relates to the technical field of big data. The method comprises the following steps: the first device sends a transaction request to the second device for the second device to generate first transaction information based on the first transaction date and the account information in the transaction request; receiving first transaction information sent by second equipment; acquiring second transaction information from the data warehouse, wherein the second transaction information is transaction information corresponding to account information between a second transaction date and a first transaction date; and fusing the first transaction information and the second transaction information to generate a first report, wherein the first report comprises account information, a first transaction date, a second transaction date, the first transaction information and the second transaction information. The report thus generated eliminates the time limitation and covers the traffic data entirely.

Description

Data processing method, device, equipment and computer storage medium
Technical Field
The present application relates to the field of big data technologies, and in particular, to a data processing method, apparatus, device, and computer storage medium.
Background
In the prior art, the financial institution needs to provide an asset report in the service process, which is usually an asset report generated based on data generated in real time in the transaction process, or an asset report is generated based on historical data of a data warehouse after processing the historical data, and the data warehouse receives the data generated in the transaction process at intervals and processes and stores the data for generating the asset report based on the data stored in the data warehouse in the condition that the asset report needs to be provided. The content of the asset report so generated is limited by the timeframe, which in turn results in incomplete coverage of the business data.
Disclosure of Invention
The embodiment of the application provides a data processing method, a device, equipment and a computer storage medium, which can generate a report to eliminate time limitation and comprehensively cover business data.
In a first aspect, an embodiment of the present application provides a data processing method, including:
transmitting a transaction request to the second device for the second device to generate first transaction information based on the first transaction date and the account information in the transaction request;
receiving first transaction information sent by second equipment;
acquiring second transaction information from the data warehouse, wherein the second transaction information is transaction information corresponding to account information between a second transaction date and a first transaction date;
and fusing the first transaction information and the second transaction information to generate a first report, wherein the first report comprises account information, a first transaction date, a second transaction date, the first transaction information and the second transaction information.
In one possible implementation, the obtaining the second transaction information from the data warehouse includes:
sending an extraction request to a data warehouse, wherein the extraction request comprises account information between a second transaction date and a first transaction date;
and receiving second transaction information sent by the data warehouse.
In one possible implementation, before sending the extraction request to the data warehouse, the method further comprises:
acquiring a report generation period;
generating an extraction request according to the report generation period;
fusing the first transaction information and the second transaction information to generate a first report, including:
and fusing the first transaction information and the second transaction information according to the report generation period to generate a first report.
In one possible implementation, fusing the first transaction information and the second transaction information to generate a first report includes:
and deleting the first transaction information to obtain a first report under the condition that the numbers of the first transaction information and the second transaction information are the same and the first transaction information and the second transaction information are consistent.
In one possible implementation, the account information includes an account number;
fusing the first transaction information and the second transaction information to generate a first report, including:
and deleting the first transaction information to obtain a first report under the condition that the account information corresponding to the first transaction information is the same as the account number in the account information corresponding to the second transaction information and the first transaction information and the second transaction information.
In a second aspect, an embodiment of the present application provides a data processing apparatus, including:
the sending module is used for sending a transaction request to the second device, so that the second device can generate first transaction information based on first transaction date and account information in the transaction request;
the receiving module is used for receiving the first transaction information sent by the second equipment;
the acquisition module is used for acquiring second transaction information from the data warehouse, wherein the second transaction information is transaction information corresponding to account information between a second transaction date and a first transaction date;
the fusion module is used for fusing the first transaction information and the second transaction information to generate a first report, wherein the first report comprises account information, a first transaction date, a second transaction date, the first transaction information and the second transaction information.
In one possible implementation, the obtaining module includes:
the sending submodule is used for sending an extraction request to the data warehouse, wherein the extraction request comprises account information from the second transaction date to the first transaction date;
and the receiving sub-module is used for receiving the second transaction information sent by the data warehouse.
In one possible implementation embodiment, the apparatus further includes:
an acquisition module for acquiring a report generation period before sending an extraction request to the data warehouse;
the generation module is used for generating an extraction request according to the report generation period;
the fusion module is specifically used for:
and fusing the first transaction information and the second transaction information according to the report generation period to generate a first report.
In one possible implementation, the fusion module is specifically configured to:
and deleting the first transaction information to obtain a first report under the condition that the numbers of the first transaction information and the second transaction information are the same and the first transaction information and the second transaction information are consistent.
In one possible implementation, the account information includes an account number;
the fusion module is specifically used for:
and deleting the first transaction information to obtain a first report under the condition that the account information corresponding to the first transaction information is the same as the account number in the account information corresponding to the second transaction information and the first transaction information and the second transaction information.
In a third aspect, an embodiment of the present application provides an electronic device, including:
a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements any of the above methods of processing data.
In a fourth aspect, embodiments of the present application provide a computer storage medium having stored thereon computer program instructions which, when executed by a processor, implement a data processing method according to any of the above.
In a fifth aspect, an embodiment of the present application provides a computer program product, where instructions in the computer program product, when executed by a processor of an electronic device, enable the electronic device to perform the data processing method of any one of the above.
The data processing method, the device, the equipment and the computer storage medium of the embodiment of the application send the transaction request to second equipment, so that the second equipment generates first transaction information based on first transaction date and account information in the transaction request, the transaction request is generated based on a first list, the first list comprises the first transaction date and the account information, the first transaction information sent by the second equipment is received, an extraction request is sent to a data warehouse, the extraction request comprises account information from second transaction date to first transaction date, the data warehouse comprises second transaction information corresponding to the account information from the second transaction date to the first transaction date, the data warehouse receives the second transaction information, the first transaction information and the second transaction information are fused, and a first report is generated, wherein the first report comprises the account information, the first transaction date, the second transaction date, the first transaction information and the second transaction information. The first transaction information and the second transaction information are fused, the generated first report comprises historical data and real-time data, the historical data corresponding to the first transaction information and the real-time data corresponding to the second transaction information are fused, time limitation is eliminated, and the first report comprises account information, first transaction date, second transaction date, first transaction information and second transaction information at the same time, so that business data are comprehensively covered.
Drawings
In order to more clearly illustrate the technical solution of the embodiments of the present application, the drawings that are needed to be used in the embodiments of the present application will be briefly described, and it is possible for a person skilled in the art to obtain other drawings according to these drawings without inventive effort.
FIG. 1 is a flow chart of a data processing method according to an embodiment of the present application;
FIG. 2 is a flow chart of a data processing method according to another embodiment of the present application;
FIG. 3 is a flow chart of a data processing method according to another embodiment of the present application;
FIG. 4 is a schematic diagram of a data processing apparatus according to still another embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to still another 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 the objects, technical solutions and advantages of the present application more apparent, the present application will be described in further detail below with reference to the accompanying drawings and the detailed embodiments. It should be understood that the particular embodiments described herein are meant to be illustrative of the application only and not 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 application by showing examples of the application.
It is noted that relational terms such as first and second, and the like are 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. Moreover, 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 like elements in a process, method, article or apparatus that comprises the element.
It should be noted that, in the embodiment of the present application, the data acquisition, storage, use, processing, etc. all conform to the relevant regulations of the national laws and regulations.
In the prior art, an asset report is usually generated based on data generated in real time in a transaction process, or is generated after processing historical data based on historical data of a data warehouse, and the content of the asset report is limited by a time range, so that service data coverage is incomplete.
In order to solve the problems in the prior art, the embodiment of the application provides a data processing method, a device, equipment and a computer storage medium. The following first describes a data processing method provided by an embodiment of the present application.
Fig. 1 is a flow chart of a data processing method according to an embodiment of the present application.
As shown in fig. 1, the data processing method applied to the first device provided in the embodiment of the present application includes S110 and S140.
S110, sending a transaction request to the second device for the second device to generate first transaction information based on the first transaction date and the account information in the transaction request.
In some embodiments, the transaction request is a transaction request generated based on a first manifest that includes a first transaction date and account information.
Here, the first manifest is a manifest that is input in advance by the user and is saved in the first device. The first transaction information is transaction information generated in real time, for example, the transaction information is the transaction information of securitized transaction.
Wherein the account information may include, but is not limited to, account remaining, account total.
In some embodiments, the first device receives a first list input by a user, the first list including a first transaction date and account information, the account information further including information to be transacted and transaction rules, where the second device transacts on the first transaction date according to the information to be transacted and the transaction rules in the account information, generating first transaction information.
In some embodiments, the second device updates the account information after generating the first transaction information.
In some embodiments, the first device includes a first module that receives user input, obtains a first list, generates a transaction request based on the first list, and sends the transaction request to the second device, where the first list includes a first transaction date and account information, and the first module may be a management module, and the first module stores a plurality of first lists, where the first lists may be lists that can be related to each other or lists that are not related to each other, and one first list includes at least one account information.
S120, receiving first transaction information sent by the second device.
In some embodiments, the second device generates first transaction information that is sent to the first device in real-time.
S130, acquiring second transaction information from the data warehouse, wherein the second transaction information is transaction information corresponding to account information between the second transaction date and the first transaction date.
Wherein the second transaction date is the date on which the first transaction date was determined.
In some embodiments, the data repository receives transaction information for a target time period transmitted by the second device for a predetermined period of time and stores the transaction information, the transaction information including second transaction information corresponding to account information between the second transaction date and the first transaction date.
And S140, fusing the first transaction information and the second transaction information to generate a first report, wherein the first report comprises account information, a first transaction date, a second transaction date, the first transaction information and the second transaction information.
In some embodiments, the first device includes a second module, which may be a report generation module, that fuses the data generated in real-time with the historical data to generate the first report.
In some embodiments, the first report includes account information corresponding to the first transaction information and a first transaction date, and further includes second transaction information corresponding to the account information between the second transaction date and the first transaction date, that is, the first report includes the first transaction date, and the account information corresponding to the second transaction information, where it is required to specify that the first report includes transaction information and historical transaction information generated in real time.
In this way, the first transaction information and the second transaction information are fused, the generated first report comprises both historical data and real-time data, the time limitation is eliminated, and the business data is covered comprehensively.
In some embodiments, as shown in fig. 2, the S130 may specifically include S210 to S220.
S210, sending an extraction request to a data warehouse, wherein the extraction request comprises account information from the second transaction date to the first transaction date.
S220, receiving second transaction information sent by the data warehouse.
In some embodiments, the first device includes a second module that receives a first manifest sent by the first module for the second module to generate the extraction request prior to sending the extraction request to the data warehouse, the first manifest including the first transaction date and the account information.
In some embodiments, the second module receives second transaction information transmitted by the second device.
In some embodiments, the second module may also receive updated account information sent by the second device.
In this way, the first device sends the extraction request to the data repository, which may provide the second transaction information, i.e., the historical data held in the data repository, to the first device based on the account information in the extraction request.
Based on this, in some embodiments, the method may further comprise, prior to sending the extraction request to the data warehouse;
acquiring a report generation period;
an extraction request is generated according to the report generation period.
Here, the report generation period is preset. The extraction request is a request generated in accordance with the report generation period.
The step S140 may specifically include:
and fusing the first transaction information and the second transaction information according to the report generation period to generate a first report.
In some embodiments, user input is received for a report generation period in accordance with which an extraction request for transaction information for a predetermined period of time is generated.
In some embodiments, the first transaction information and the second transaction information within a predetermined period of time are fused in accordance with a report generation period to generate a first report.
In this way, the report generation period is set according to the user's demand, and in the case where the user needs to inquire about the transaction information, the transaction information for a predetermined period of time can be viewed through the first report.
Based on this, in some embodiments, the S140 may specifically include:
and deleting the first transaction information to obtain a first report under the condition that the numbers of the first transaction information and the second transaction information are the same and the first transaction information and the second transaction information are consistent.
In some embodiments, in the case that the numbers of the first transaction information and the second transaction information are the same, comparing the first transaction information and the second transaction information, if they are consistent, deleting the first transaction information, and determining the first report.
In some embodiments, in the case that the numbers of the first transaction information and the second transaction information are the same, the first transaction information and the second transaction information are compared, and if the numbers are inconsistent, the first transaction information and the second transaction information are reserved at the same time, and the first report is determined.
In this way, the data stored in the data warehouse is used to delete the repeated record data based on the data in the data warehouse, thereby reducing the storage pressure.
Based on this, in some embodiments, the account information includes an account number;
the step S140 may specifically include:
and deleting the first transaction information to obtain a first report under the condition that the account information corresponding to the first transaction information is the same as the account number in the account information corresponding to the second transaction information and the first transaction information and the second transaction information.
In some embodiments, one account number corresponds to at least one number.
In some embodiments, under the condition that account numbers in account information corresponding to the first transaction information and the second transaction information are the same, comparing the first transaction information and the second transaction information, if the account numbers are consistent, deleting the first transaction information, and determining the first report.
In some embodiments, under the condition that account numbers in account information corresponding to the first transaction information and the second transaction information are the same, comparing the first transaction information and the second transaction information, if the account numbers are inconsistent, retaining the first transaction information and the second transaction information at the same time, and determining the first report.
In this way, the data stored in the data warehouse is used to delete the repeated record data based on the data in the data warehouse, thereby reducing the storage pressure.
As an example, fig. 3 shows an interaction process between a first device, a second device and a data warehouse, as shown in fig. 3, a first module in the first device may acquire account information in the data warehouse, the first module of the first device sends a transaction request to a third module of the second device, the transaction request includes a first transaction date and account information, in the case that the third module receives the transaction request, the first transaction date and account information are read and fed back to the fourth module, the fourth module performs a transaction according to the first transaction date and account information to generate first transaction information, the third module simultaneously updates account information, the second device sends the account information and the first transaction information to the first device in real time, the real-time transaction information is the first transaction information, and sends the transaction information and the account information of a target time period to the data warehouse according to a preset time period (for example, every twelve hours, the transaction information and the account information of a current day from the twelve days to the twelve days in the day are sent to the data warehouse), the data warehouse stores the transaction information and the information of the target time period, the first transaction information and the account information are stored, the first transaction information and the account information of the first transaction request is sent to the first transaction information is extracted to the first device, the first transaction information is sent to the first transaction information is corresponding to the first transaction information, and the first transaction information is sent to the first transaction information, and the first transaction information is reported to the first transaction information.
Based on the data processing method provided by the embodiment, correspondingly, the application further provides a specific implementation mode of the data processing device. Please refer to the following examples.
Referring first to fig. 4, a data processing apparatus 400 provided in an embodiment of the present application includes:
a sending module 410, configured to send a transaction request to a second device, for the second device to generate first transaction information based on a first transaction date and account information in the transaction request;
a receiving module 420, configured to receive first transaction information sent by the second device;
an obtaining module 430, configured to obtain second transaction information from the data repository, where the second transaction information is transaction information corresponding to account information between the second transaction date and the first transaction date;
the fusing module 440 is configured to fuse the first transaction information and the second transaction information to generate a first report, where the first report includes account information, a first transaction date, a second transaction date, the first transaction information and the second transaction information.
Based on this, in some embodiments, the acquisition module 430 includes:
the sending submodule is used for sending an extraction request to the data warehouse, wherein the extraction request comprises account information from the second transaction date to the first transaction date;
and the receiving sub-module is used for receiving the second transaction information sent by the data warehouse.
Based on this, in some embodiments, the apparatus 400 further comprises:
an acquisition module 430 for acquiring a report generation period before sending an extraction request to the data warehouse;
the generation module is used for generating an extraction request according to the report generation period;
the fusion module 440 specifically is configured to:
and fusing the first transaction information and the second transaction information according to the report generation period to generate a first report.
Based on this, in some embodiments, the fusion module 440 is specifically configured to:
and deleting the first transaction information to obtain a first report under the condition that the numbers of the first transaction information and the second transaction information are the same and the first transaction information and the second transaction information are consistent.
Based on this, in some embodiments, the account information includes an account number;
the fusion module 440 specifically is configured to:
and deleting the first transaction information to obtain a first report under the condition that the account information corresponding to the first transaction information is the same as the account number in the account information corresponding to the second transaction information and the first transaction information and the second transaction information.
The modules of the data processing device provided in the embodiment of the present application can implement the functions of the steps of the data processing method provided in fig. 1 to 3, and achieve the corresponding technical effects, and for brevity, will not be described in detail herein.
Based on the same inventive concept, the embodiment of the application also provides electronic equipment.
Fig. 5 shows a schematic hardware structure of an electronic device according to an embodiment of the present application.
A processor 501 and a memory 502 storing computer program instructions may be included in an electronic device.
In particular, the processor 501 may include a central processing unit (Central Processing Unit, CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or may be configured as one or more integrated circuits implementing embodiments of the present application.
Memory 502 may include mass storage for data or instructions. By way of example, and not limitation, memory 502 may comprise a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, magnetic tape, or universal serial bus (Universal Serial Bus, USB) Drive, or a combination of two or more of the foregoing. Memory 502 may include removable or non-removable (or fixed) media, where appropriate. Memory 502 may be internal or external to the integrated gateway disaster recovery device, where appropriate. In a particular embodiment, the memory 502 is a non-volatile solid state memory.
The Memory may include Read Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk storage media devices, optical storage media devices, flash Memory devices, electrical, optical, or other physical/tangible Memory storage devices. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors) it is operable to perform the operations described with reference to methods in accordance with aspects of the present disclosure.
The processor 501 implements any one of the data processing methods of the above embodiments by reading and executing computer program instructions stored in the memory 502.
In one example, the electronic device may also include a communication interface 503 and a bus 510. As shown in fig. 5, the processor 501, the memory 502, and the communication interface 503 are connected to each other by a bus 510 and perform communication with each other.
The communication interface 503 is mainly used to implement communication between each module, apparatus, unit and/or device in the embodiments of the present application.
Bus 510 includes hardware, software, or both that couple components of the electronic device to one another. By way of example, and not limitation, the buses may include an accelerated graphics port (Accelerated Graphics Port, AGP) or other graphics Bus, an enhanced industry standard architecture (Extended Industry Standard Architecture, EISA) Bus, a Front Side Bus (FSB), a HyperTransport (HT) interconnect, an industry standard architecture (Industry Standard Architecture, ISA) Bus, an Infiniband interconnect, a low pin count (Linear Predictive Coding, LPC) Bus, a memory Bus, a micro channel architecture (MicroChannel Architecture, MCa) Bus, a peripheral component interconnect (Peripheral Component Interconnect, PCI) Bus, a PCI-Express (Peripheral Component Interconnect-X, PCI-X) Bus, a serial advanced technology attachment (Serial Advanced Technology Attachment, SATA) Bus, a video electronics standards association Local Bus (VLB) Bus, or other suitable Bus, or a combination of two or more of these. Bus 510 may include one or more buses, where appropriate. Although embodiments of the application have been described and illustrated with respect to a particular bus, the application contemplates any suitable bus or interconnect. The electronic device may execute the data processing method in the embodiment of the present application, thereby implementing the data processing method described in fig. 1 to 3.
In addition, in combination with the data processing method in the above embodiment, the embodiment of the present application may be implemented by providing a computer storage medium. The computer storage medium has stored thereon computer program instructions; which when executed by a processor, implement any of the data processing methods of the above embodiments.
The application also provides a computer program product in which instructions, when executed by a processor of an electronic device, cause the electronic device to perform the various processes implementing any of the data processing method embodiments described above.
It should be understood that the application is not limited to the particular arrangements and instrumentality described above and shown in the drawings. For the sake of brevity, a detailed description of known methods is omitted here. 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 shown, and those skilled in the art can make various changes, modifications and additions, or change the order between steps, after appreciating the spirit of the present application.
The functional blocks shown in the above-described structural block diagrams may be implemented in hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), suitable firmware, a plug-in, a function card, or the like. When implemented in software, the elements of the 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 over transmission media or communication links by a data signal carried in a carrier wave. A "machine-readable medium" may include any medium that can store or transfer information. Examples of machine-readable media include electronic circuitry, semiconductor Memory devices, read-Only Memory (ROM), flash Memory, erasable Read-Only Memory (Erasable Read Only Memory, EROM), floppy disks, compact discs (Compact Disc Read-Only Memory, CD-ROM), optical disks, hard disks, fiber optic media, radio Frequency (RF) links, and the like. The code segments may be downloaded via computer networks such as the internet, intranets, etc.
It should also be noted that the exemplary embodiments mentioned in this disclosure 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, or may be performed in a different order from the order in the embodiments, or several steps may be performed simultaneously.
Aspects of the present disclosure are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to being, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware which performs the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In the foregoing, only the specific embodiments of the present application are described, and it will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the systems, modules and units described above may refer to the corresponding processes in the foregoing method embodiments, which are not repeated herein. It should be understood that the scope of the present application is not limited thereto, and any equivalent modifications or substitutions can be easily made by those skilled in the art within the technical scope of the present application, and they should be included in the scope of the present application.

Claims (13)

1. A data processing method applied to a first device, comprising:
transmitting the transaction request to a second device for the second device to generate first transaction information based on a first transaction date and account information in the transaction request;
receiving the first transaction information sent by the second equipment;
acquiring second transaction information from a data warehouse, wherein the second transaction information is transaction information corresponding to account information between a second transaction date and a first transaction date;
and fusing the first transaction information and the second transaction information to generate a first report, wherein the first report comprises account information, a first transaction date, a second transaction date, the first transaction information and the second transaction information.
2. The data processing method of claim 1, wherein the obtaining second transaction information from the data warehouse comprises:
sending an extraction request to a data warehouse, wherein the extraction request comprises account information between a second transaction date and a first transaction date;
and receiving the second transaction information sent by the data warehouse.
3. The data processing method of claim 2, wherein prior to sending the extraction request to the data warehouse, the method further comprises:
acquiring a report generation period;
generating the extraction request according to the report generation period;
the fusing the first transaction information and the second transaction information to generate a first report includes:
and fusing the first transaction information and the second transaction information according to the report generation period to generate a first report.
4. The method of claim 1, wherein the fusing the first transaction information and the second transaction information to generate a first report comprises:
and deleting the first transaction information to obtain a first report under the condition that the numbers of the first transaction information and the second transaction information are the same and the first transaction information and the second transaction information are consistent.
5. The data processing method according to claim 1, wherein the account information includes an account number;
the fusing the first transaction information and the second transaction information to generate a first report includes:
and deleting the first transaction information to obtain a first report under the condition that account information corresponding to the first transaction information is the same as account information in account information corresponding to the second transaction information and the first transaction information and the second transaction information are the same.
6. A data processing apparatus, comprising:
a sending module, configured to send the transaction request to a second device, for the second device to generate first transaction information based on a first transaction date and account information in the transaction request;
the receiving module is used for receiving the first transaction information sent by the second equipment;
the acquisition module is used for acquiring second transaction information from the data warehouse, wherein the second transaction information is transaction information corresponding to account information between a second transaction date and a first transaction date;
and the fusion module is used for fusing the first transaction information and the second transaction information to generate a first report, and the first report comprises account information, a first transaction date, a second transaction date, the first transaction information and the second transaction information.
7. The data processing apparatus of claim 6, wherein the acquisition module comprises:
a sending sub-module, configured to send an extraction request to a data repository, where the extraction request includes account information between a second transaction date and a first transaction date;
and the receiving sub-module is used for receiving the second transaction information sent by the data warehouse.
8. The data processing apparatus of claim 7, wherein the apparatus further comprises:
an acquisition module for acquiring a report generation period before sending an extraction request to the data warehouse;
the generation module is used for generating the extraction request according to the report generation period;
the fusion module is specifically used for:
and fusing the first transaction information and the second transaction information according to the report generation period to generate a first report.
9. The data processing apparatus according to claim 6, wherein the fusion module is specifically configured to:
and deleting the first transaction information to obtain a first report under the condition that the numbers of the first transaction information and the second transaction information are the same and the first transaction information and the second transaction information are consistent.
10. The data processing apparatus of claim 6, wherein the account information comprises an account number;
the fusion module is specifically used for:
and deleting the first transaction information to obtain a first report under the condition that account information corresponding to the first transaction information is the same as account information in account information corresponding to the second transaction information and the first transaction information and the second transaction information are the same.
11. A data processing electronic device, the device comprising: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements the method for processing data according to any one of claims 1-5.
12. A computer-readable storage medium, on which computer program instructions are stored which, when executed by a processor, implement a data processing method as claimed in any one of claims 1 to 5.
13. A computer program product, characterized in that instructions in the computer program product, when executed by a processor of an electronic device, enable the electronic device to perform the data processing method according to any one of claims 1-5.
CN202310295971.2A 2023-03-23 2023-03-23 Data processing method, device, equipment and computer storage medium Pending CN116756219A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310295971.2A CN116756219A (en) 2023-03-23 2023-03-23 Data processing method, device, equipment and computer storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310295971.2A CN116756219A (en) 2023-03-23 2023-03-23 Data processing method, device, equipment and computer storage medium

Publications (1)

Publication Number Publication Date
CN116756219A true CN116756219A (en) 2023-09-15

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
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Country Status (1)

Country Link
CN (1) CN116756219A (en)

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