CN110443690A - A kind of method, apparatus, server and the storage medium of variance data reconciliation - Google Patents

A kind of method, apparatus, server and the storage medium of variance data reconciliation Download PDF

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Publication number
CN110443690A
CN110443690A CN201910755519.3A CN201910755519A CN110443690A CN 110443690 A CN110443690 A CN 110443690A CN 201910755519 A CN201910755519 A CN 201910755519A CN 110443690 A CN110443690 A CN 110443690A
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CN
China
Prior art keywords
reconciliation
identifier
data
variance data
information
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CN201910755519.3A
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Chinese (zh)
Inventor
杨尚京
王枫
谭仕朝
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Shenzhen Lexin Software Technology Co Ltd
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Shenzhen Lexin Software Technology Co Ltd
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Priority to CN201910755519.3A priority Critical patent/CN110443690A/en
Publication of CN110443690A publication Critical patent/CN110443690A/en
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    • 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
    • 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
    • G06Q40/12Accounting
    • G06Q40/125Finance or payroll

Abstract

The embodiment of the invention discloses method, apparatus, server and the storage mediums of a kind of variance data reconciliation, this method comprises: obtaining reconciliation variance data, the reconciliation variance data includes first identifier and the first information;Reconciliation data are obtained, the reconciliation data include second identifier and the second information;According to the first identifier and the second identifier, matches the reconciliation variance data and the reconciliation data carry out reconciliation.By obtaining reconciliation variance data and reconciliation data, the second identifier in the first identifier and reconciliation data in reconciliation variance data is matched, achieve the effect that when cut and do not suspend transaction when the reconciliation variance data that generates carry out to flat.

Description

A kind of method, apparatus, server and the storage medium of variance data reconciliation
Technical field
The present embodiments relate to financial services industry more particularly to a kind of method, apparatus of variance data reconciliation, service Device and storage medium.
Background technique
With the rapid development of computer technology and Internet technology, the development of internet financial system business also becomes to get over Come more important.
Cut when financial system needs system data is divided, reconciliation, statistics, when cut generation when if there is transaction Event occur, there are transaction data the data that A system generates more kainogenesis when cut before, B system generate data update send out It is raw when cut after.If when cut generation when pause transaction, this pause mode of doing business strong influence to the use traded Family experience.In case of when cut when do not suspend transaction, then can generate variance data, will lead to reconciliation can not be to flat.
Summary of the invention
The embodiment of the present invention provides method, apparatus, server and the storage medium of a kind of variance data reconciliation, to realize The variance data generated when cutting when generation is carried out to flat.
In a first aspect, the embodiment of the invention provides a kind of methods of variance data reconciliation, comprising:
Reconciliation variance data is obtained, the reconciliation variance data includes first identifier and the first information;
Reconciliation data are obtained, the reconciliation data include second identifier and the second information;
According to the first identifier and the second identifier, matches the reconciliation variance data and the reconciliation data carry out Reconciliation.
Optionally, described according to the first identifier and the second identifier, match the reconciliation variance data and described Reconciliation data carry out reconciliation, comprising:
Extract the first identifier of the reconciliation variance data;
Extract the second identifier of the reconciliation data;
Judge whether the first identifier matches with the second identifier and carries out reconciliation.
Optionally, it is described judge the first identifier whether with the second identifier match carry out reconciliation, comprising:
If the first identifier and the second identifier successful match, the first information and second letter are compared Breath;
If the first identifier and the non-successful match of the second identifier, are added to rolling for the reconciliation variance data In dynamic database.
Optionally, if in the first identifier and the non-successful match of the second identifier, by the reconciliation difference number After being added in rolling data library, comprising:
Obtain the waiting time that the reconciliation variance data is added to behind the rolling data library;
Match the waiting time and preset time threshold;
If the waiting time reaches the preset time threshold, again according to the first identifier and second mark Know, matches the reconciliation variance data and the reconciliation data carry out reconciliation.
Optionally, the first information and second information include at least user identifier, one in amount of money numerical value or It is multinomial.
It is optionally, described to compare the first information and second information, comprising:
Obtain the amount of money numerical value of the first information;
Obtain the amount of money numerical value of second information;
Whether amount of money numerical value and the amount of money numerical value of second information for comparing the first information are consistent.
Optionally, the acquisition reconciliation variance data, comprising:
Real-time reconciliation is carried out to the received accounting data of system according to preset time interval;
According to the result of the real-time reconciliation using not to flat accounting data as the reconciliation variance data.
Second aspect, the embodiment of the invention discloses a kind of devices of variance data reconciliation, comprising:
Module is obtained, for obtaining reconciliation variance data, the reconciliation variance data includes first identifier and the first information; Reconciliation data are obtained, the reconciliation data include second identifier and the second information;
Matching module, for matching the reconciliation variance data and institute according to the first identifier and the second identifier It states reconciliation data and carries out reconciliation.
The third aspect, the embodiment of the invention discloses a kind of servers, comprising:
One or more processors;
Storage device, for storing one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processing The method that device realizes variance data reconciliation described in any embodiment of the present invention.
Fourth aspect, the embodiment of the invention discloses a kind of computer readable storage mediums, are stored thereon with computer journey Sequence realizes the method for variance data reconciliation described in any embodiment of the present invention when the program is executed by processor.
The embodiment of the present invention is by obtaining reconciliation variance data and reconciliation data, by the first identifier in reconciliation variance data With the second identifier matching in reconciliation data, solve the problems, such as when cut generation when do not suspend transaction and generate variance data, it is real Now when cut and do not suspend transaction when the reconciliation variance data that generates carry out to flat effect.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the method for variance data reconciliation that the embodiment of the present invention one provides;
Fig. 2 is a kind of flow chart of the method for variance data reconciliation provided by Embodiment 2 of the present invention;
Fig. 3 is a kind of flow chart of the method for variance data reconciliation provided by Embodiment 2 of the present invention;
Fig. 4 is a kind of flow chart of the method for variance data reconciliation provided by Embodiment 2 of the present invention;
Fig. 5 is a kind of flow chart of the method for variance data reconciliation that the embodiment of the present invention three provides;
Fig. 6 is a kind of structural schematic diagram of the device for variance data reconciliation that the embodiment of the present invention four provides;
Fig. 7 is a kind of structural schematic diagram for server that the embodiment of the present invention five provides.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
It should be mentioned that some exemplary embodiments are described as before exemplary embodiment is discussed in greater detail The processing or method described as flow chart.Although each step is described as the processing of sequence by flow chart, many of these Step can be implemented concurrently, concomitantly or simultaneously.In addition, the sequence of each step can be rearranged.When its operation Processing can be terminated when completion, it is also possible to have the additional step being not included in attached drawing.Handle the side of can correspond to Method, function, regulation, subroutine, subprogram etc..
In addition, term " first ", " second " etc. can be used to describe herein various directions, movement, step or element etc., But these directions, movement, step or element should not be limited by these terms.These terms are only used to by first direction, movement, step Rapid or element and another direction, movement, step or element are distinguished.For example, the case where not departing from scope of the present application Under, it can be second speed difference by First Speed difference, and similarly, it is poor second speed difference can be known as First Speed Value.First Speed difference and second speed difference both speed difference, but it is not same speed difference.Term " the One ", " second " etc. is not understood to indicate or imply relative importance or implicitly indicates the number of indicated technical characteristic Amount." first " is defined as a result, the feature of " second " can explicitly or implicitly include one or more of the features. In the description of the present invention, " multiple ", " batch " are meant that at least two, such as two, three etc., unless otherwise clearly having The restriction of body.
Embodiment one
Fig. 1 is a kind of flow chart of the method for variance data reconciliation that the embodiment of the present invention one provides, and the present embodiment can fit For by reconciliation variance data, to flat scene, this method can be executed by server, be specifically comprised the following steps:
S110, reconciliation variance data is obtained, the reconciliation variance data includes first identifier and the first information;
In the present embodiment, reconciliation variance data refers to the variance data generated during reconciliation.Illustratively, it is handing over The data easily initiated occur when cut before, be stored in A system.Transaction complete data occur when cut after, be stored in B system In.As soon as the data that the data for initiation of trading at this time and transaction are completed are not in system, then the reconciliation of transaction data can not be complete At variance data will be generated.Illustratively, initiate have a pay invoice when transaction, but user does not pay accordingly at this time The amount of money, this data is in A system.It is cut when having been carried out after the completion of user-pay, Payment Amount information is in B system at this time, just Reconciliation can not be carried out to pay invoice and Payment Amount information.When cut the time for referring to replacement system accounting, system is from current work As subsequent work day is switched to day, generally with a consecutive days for a switching cycle.Illustratively, current time is to insult for 2nd Morning zero point, the time of system accounting is 1 before current time, and the time of system accounting is 2 after current time.
First identifier refers to the mark that can distinguish this reconciliation variance data uniqueness.Illustratively, first identifier can be Serial number, herein with no restrictions.As soon as there can be a unique serial number after the completion of each transaction, can be found according to serial number Unique corresponding reconciliation variance data.The first information refers to corresponding information in reconciliation variance data.Illustratively, the first information Including at least one or more in user identifier, amount of money numerical value, herein with no restrictions.User identifier, which refers to, can identify specific use The mark at family.Illustratively, the content of reconciliation variance data can be " serial number: 0001;User name: Zhang San;Transaction amount: 200 yuan.", it is not particularly limited herein.
S120, reconciliation data are obtained, the reconciliation data include second identifier and the second information;
In the present embodiment, reconciliation data refer to the data that reconciliation can be carried out with reconciliation variance data.Reconciliation variance data With reconciliation data there is no absolute definition, but it is opposite.Illustratively, if for the data in A system, in B system It finds corresponding data and carries out reconciliation, then the data in A system are reconciliation variance data, the data in B system are reconciliation number According to.If finding corresponding data for the data in B system in A system and carrying out reconciliation, then the data in B system are pair Account variance data, the data in A system are then reconciliation data.
Second identifier refers to the mark that can distinguish this reconciliation data uniqueness, corresponding with first identifier.If first identifier When for serial number, second identifier is also serial number.Second information refers to the information that reconciliation is carried out with the first information, includes at least and uses It is one or more in family mark, amount of money numerical value, type of transaction, herein with no restrictions.
S130, according to the first identifier and the second identifier, match the reconciliation variance data and the reconciliation number According to progress reconciliation;
It in the present embodiment, can be by judging first identifier since first identifier and second identifier all have uniqueness It is whether consistent with second identifier, to match reconciliation variance data and the progress reconciliation of reconciliation data.Illustratively, reconciliation difference number According to first identifier be " 0021 ", then only second identifier is also that the reconciliation data of " 0021 " could be with this reconciliation variance data Reconciliation is carried out, and then reconciliation variance data is carried out to flat.
The technical solution of the embodiment of the present invention, by obtaining reconciliation variance data and reconciliation data, by reconciliation variance data In first identifier and reconciliation data in second identifier matched.Since first identifier and second identifier have uniqueness, It is whether consistent with second identifier to may determine that first identifier, to match reconciliation variance data and reconciliation data.Reached when The reconciliation variance data do not suspended and generated when transaction is cut to carry out to flat effect.
Embodiment two
Fig. 2 is a kind of flow chart of the method for variance data reconciliation provided by Embodiment 2 of the present invention.The present embodiment be The further refinement of above-mentioned technical proposal, suitable for by reconciliation variance data to flat scene.This method can be held by server Row, comprising:
S210, reconciliation variance data is obtained, the reconciliation variance data includes first identifier and the first information;
S220, reconciliation data are obtained, the reconciliation data include second identifier and the second information;
S231, the first identifier for extracting the reconciliation variance data;
In the present embodiment, reconciliation variance data includes first identifier and the first information.First identifier, which refers to, can distinguish this The mark of reconciliation variance data uniqueness.The first identifier that reconciliation variance data is extracted in reconciliation variance data, can use The uniqueness and reconciliation data of first identifier carry out reconciliation.
S232, the second identifier for extracting the reconciliation data;
In the present embodiment, reconciliation data include second identifier and the second information.Second identifier, which refers to, can distinguish this reconciliation The mark of data uniqueness.Second identifier is extracted in reconciliation data, can use the uniqueness and reconciliation difference of second identifier Data carry out reconciliation.
S233, judge the first identifier whether with the second identifier match carry out reconciliation.
In the present embodiment, since first identifier and second identifier all have uniqueness, only one first identifier It is corresponding with a second identifier.First identifier and second identifier matching, then illustrate that first identifier is consistent with second identifier, at this time Reconciliation variance data and reconciliation data can be subjected to reconciliation.Illustratively, the reconciliation variance data that first identifier is 0001 can With the reconciliation variance data progress reconciliation for being 0001 with second identifier.Preferably, first identifier and second identifier are serial number.
By first identifier with uniqueness and second identifier, reconciliation variance data and reconciliation number can be accurately matched According to.
It is replaced in embodiment one, step S231, S232, S233 could alternatively be:
According to the first identifier and the second identifier, matches the reconciliation variance data and the reconciliation data carry out Reconciliation.
Refering to Fig. 3, replaced in embodiment another, step S233 includes:
If S234, the first identifier and the second identifier successful match, compare the first information with it is described Second information;
In the present embodiment, first identifier and second identifier successful match then illustrate that first identifier is consistent with second identifier. The first information and the second information are compared at this time.The first information and the second information are including at least one in user identifier, amount of money numerical value Item is multinomial.The first information and the second information are compared, that is, compares the amount of money numerical value of the first information and the amount of money of the second information Whether numerical value is consistent.
After first identifier and second identifier successful match, obtains the amount of money numerical value of the first information and obtain the gold of the second information Specified number value.If the amount of money numerical value of first identifier is consistent with the amount of money numerical value of second identifier, reconciliation variance data and reconciliation Data are to flat, this reconciliation variance data disappearance.If the amount of money numerical value of first identifier and the amount of money numerical value of second identifier are inconsistent, It may be to need manually to be checked because the system for obtaining data there is a problem.
If S235, the first identifier and the non-successful match of the second identifier, the reconciliation variance data is added Enter into rolling data library.
In the present embodiment, first identifier and the non-successful match of second identifier then may be that reconciliation data are destroyed, therefore It can not successful match.It is also likely to be that transaction is not completed, therefore reconciliation data generate not yet.Rolling data library is for temporary Reconciliation variance data is stored, reconciliation variance data is added in rolling data library, when the reconciliation data being destroyed are repaired Afterwards or after the completion of transaction, corresponding reconciliation data can be matched to during rolling reconciliation, thus reconciliation variance data to flat.
Refering to Fig. 4, replaced in embodiment another, after step S235, comprising:
S240, the acquisition reconciliation variance data are added to the waiting time behind the rolling data library;
In the present embodiment, it starts the clock after reconciliation variance data being added to rolling data library, thus acquisition pair Account variance data is added to the waiting time behind rolling data library.Illustratively, reconciliation difference number is added to rolling data library The specific time be 1:00, when reaching 1:05 timesharing, waiting time at this time is 5 minutes.
S250, the matching waiting time and preset time threshold.
In the present embodiment, matching the waiting time and preset time threshold include the waiting time reach preset time threshold and Match time does not reach preset time threshold.If waiting time arrival preset time threshold, described in return step S231, extraction The first identifier of reconciliation variance data.If match time does not reach preset time threshold, continue waiting for, until waiting Time reaches preset time threshold.
Illustratively, preset time threshold can be set to 5 minutes, 10 minutes, herein with no restrictions.With preset time threshold Value is for 5 minutes, and when the waiting time is 5 minutes, the waiting time reaches preset time threshold at this time, then again according to first Mark and second identifier, match reconciliation variance data and reconciliation data carry out reconciliation.Since reconciliation variance data is before first Corresponding reconciliation data are then not present in mark and the non-successful match of second identifier before explanation.Therefore, reconciliation variance data only needs The reconciliation data updated in preset time threshold are matched.Illustratively, preset time threshold is 5 minutes, works as waiting When time reaches preset time threshold, it is only necessary to carry out the reconciliation data updated within reconciliation variance data and this 5 minutes pair Account.
It will be evident that after reconciliation variance data reaches preset time threshold in rolling data library, still can not to usually, Then continue waiting for, it, will be in reconciliation variance data and preset time threshold when the waiting time arriving again at preset time threshold The reconciliation data of update carry out reconciliation.Reconciliation variance data only needs to carry out with the reconciliation data updated in preset time threshold pair Account greatly reduces the resource utilization of reconciliation system.
It replaces, it is also not necessary to the waiting time, being directed to the reconciliation data updated each time all in embodiment another Carry out a reconciliation.
The technical solution of the embodiment of the present invention, by obtaining reconciliation variance data and reconciliation data, by reconciliation variance data In first identifier and reconciliation data in second identifier matched.Since first identifier and second identifier have uniqueness, It is whether consistent with second identifier to may determine that first identifier, to match reconciliation variance data and reconciliation data.Reached when The reconciliation variance data do not suspended and generated when transaction is cut to carry out to flat effect.In addition, reconciliation variance data only need to it is default when Between the reconciliation data that update in threshold value carry out reconciliation, greatly reduce the resource utilization of reconciliation system.
Embodiment three
Fig. 5 is a kind of flow chart of the method for variance data reconciliation that the embodiment of the present invention three provides, and the present embodiment is upper State and advanced optimize on the basis of embodiment, suitable for by reconciliation variance data to flat scene.As shown in figure 5, this method can To be executed by server, specifically include:
S311, real-time reconciliation is carried out to the received accounting data of system according to preset time interval;
In the present embodiment, preset time interval can be 2 minutes, i.e., carry out primary real-time reconciliation at intervals of two minutes.Wealth It is even multi-party that the source of business data can be both sides, herein with no restrictions.Prefixed time interval is shorter, and reconciliation is more timely, The reconciliation variance data of generation can be carried out to flat as early as possible, but the resources occupation rate of reconciliation simultaneously is higher.
S312, according to the result of the real-time reconciliation using not to flat accounting data as the reconciliation variance data.
In the present embodiment, real-time reconciliation result includes reconciliation to gentle reconciliation not to flat.The successful data account quilt of reconciliation To flat, the data of reconciliation failure not by flat, using not by flat data as reconciliation variance data, then again by reconciliation difference Data are to flat.
S320, reconciliation data are obtained, the reconciliation data include second identifier and the second information;
S330, according to the first identifier and the second identifier, match the reconciliation variance data and the reconciliation number According to progress reconciliation.
The technical solution of the embodiment of the present invention, by obtaining reconciliation variance data and reconciliation data, by reconciliation variance data In first identifier and reconciliation data in second identifier matched.Since first identifier and second identifier have uniqueness, It is whether consistent with second identifier to may determine that first identifier, to match reconciliation variance data and reconciliation data.Reached when The reconciliation variance data do not suspended and generated when transaction is cut to carry out to flat effect.In addition, shorten the time of reconciliation into minute grade, it can With when generating reconciliation variance data in time to flat.
Example IV
Fig. 6 is a kind of structural schematic diagram of the device for variance data reconciliation that the embodiment of the present invention four provides, the present embodiment It is applicable to reconciliation variance data to flat scene, which can be realized by the way of software and/or hardware, and can be collected At on the server.The content of not detailed description can be with reference to the description in any means embodiment of the present invention in the present embodiment.
As shown in fig. 6, variance data account checking apparatus 400 provided in this embodiment may include obtaining module 410 and matching Module 420, in which:
Module 410 is obtained, for obtaining reconciliation variance data, the reconciliation variance data includes first identifier and the first letter Breath;Reconciliation data are obtained, the reconciliation data include second identifier and the second information;
Matching module 420, for according to the first identifier and the second identifier, match the reconciliation variance data and The reconciliation data carry out reconciliation.
Further, matching module 420 further include:
Extraction unit, for extracting the first identifier of the reconciliation variance data;Extract the institute of the reconciliation data State second identifier;
Judging unit carries out reconciliation for judging whether the first identifier matches with the second identifier.
Optionally, judging unit is also used to:
If the first identifier and the second identifier successful match, the first information and second letter are compared Breath;
If the first identifier and the non-successful match of the second identifier, are added to rolling for the reconciliation variance data In dynamic database.
Further, module 410 is obtained to be also used to:
Obtain the waiting time that the reconciliation variance data is added to behind the rolling data library;
Match the waiting time and preset time threshold;
If the waiting time reaches the preset time threshold, again according to the first identifier and second mark Know, matches the reconciliation variance data and the reconciliation data carry out reconciliation.
Further, module 410 is obtained to be also used to:
Obtain the amount of money numerical value of the first information;
Obtain the amount of money numerical value of second information;
Whether amount of money numerical value and the amount of money numerical value of second information for comparing the first information are consistent.
Difference provided by any embodiment of the invention can be performed in variance data account checking apparatus provided by the embodiment of the present invention Heteromerism has the corresponding functional module of execution method and beneficial effect according to account checking method.
Embodiment five
Fig. 7 is a kind of structural schematic diagram for server that the embodiment of the present invention five provides.Fig. 7, which is shown, to be suitable for being used to realizing The block diagram of the exemplary servers 612 of embodiment of the present invention.The server 612 that Fig. 7 is shown is only an example, should not be right The function and use scope of the embodiment of the present invention bring any restrictions.
As shown in fig. 7, server 612 is showed in the form of generic server.The component of server 612 may include but not Be limited to: one or more processor 616, storage device 628 connect different system components (including storage device 628 and processing Device 616) bus 618.
Bus 618 indicates one of a few class bus structures or a variety of, including storage device bus or storage device control Device processed, peripheral bus, graphics acceleration port, processor or total using the local of any bus structures in a variety of bus structures Line.For example, these architectures include but is not limited to industry standard architecture (Industry Subversive Alliance, ISA) bus, microchannel architecture (Micro Channel Architecture, MAC) bus is enhanced Isa bus, Video Electronics Standards Association (Video Electronics Standards Association, VESA) local are total Line and peripheral component interconnection (Peripheral Component Interconnect, PCI) bus.
Server 612 typically comprises a variety of computer system readable media.These media can be it is any being capable of bedding and clothing The usable medium that business device 612 accesses, including volatile and non-volatile media, moveable and immovable medium.
Storage device 628 may include the computer system readable media of form of volatile memory, such as arbitrary access Memory (Random Access Memory, RAM) 630 and/or cache memory 632.Terminal 612 can be wrapped further Include other removable/nonremovable, volatile/non-volatile computer system storage mediums.Only as an example, storage system 634 can be used for reading and writing immovable, non-volatile magnetic media (Fig. 6 do not show, commonly referred to as " hard disk drive ").Although It is not shown in Fig. 6, the disc driver for reading and writing to removable non-volatile magnetic disk (such as " floppy disk ") can be provided, and To removable anonvolatile optical disk, such as CD-ROM (Compact Disc Read-Only Memory, CD-ROM), number Optic disk (Digital Video Disc-Read Only Memory, DVD-ROM) or other optical mediums) read-write CD drive Dynamic device.In these cases, each driver can be connected by one or more data media interfaces with bus 618.It deposits Storage device 628 may include at least one program product, which has one group of (for example, at least one) program module, this A little program modules are configured to perform the function of various embodiments of the present invention.
Program/utility 640 with one group of (at least one) program module 642 can store in such as storage dress It sets in 628, such program module 642 includes but is not limited to operating system, one or more application program, other program moulds It may include the realization of network environment in block and program data, each of these examples or certain combination.Program module 642 usually execute function and/or method in embodiment described in the invention.
Server 612 can also be with one or more external equipments 614 (such as keyboard, direction terminal, display 624 etc.) Communication, can also be enabled a user to one or more terminal interact with the server 612 communicate, and/or with make the clothes Any terminal (such as network interface card, modem etc.) that business device 612 can be communicated with one or more of the other computing terminal Communication.This communication can be carried out by input/output (I/O) interface 622.Also, server 612 can also be suitable by network Orchestration 620 and one or more network (such as local area network (Local Area Network, LAN), wide area network (Wide Area Network, WAN) and/or public network, such as internet) communication.As shown in fig. 6, network adapter 620 passes through bus 618 It is communicated with other modules of server 612.It should be understood that although not shown in the drawings, can be used in conjunction with server 612 other hard Part and/or software module, including but not limited to: microcode, terminal driver, redundant processor, external disk drive array, magnetic Disk array (Redundant Arrays of Independent Disks, RAID) system, tape drive and data backup Storage system etc..
The program that processor 616 is stored in storage device 628 by operation, thereby executing various function application and number According to processing, such as the method for realizing a kind of variance data reconciliation provided by any embodiment of the invention, this method may include:
Reconciliation variance data is obtained, the reconciliation variance data includes first identifier and the first information;
Reconciliation data are obtained, the reconciliation data include second identifier and the second information;
According to the first identifier and the second identifier, matches the reconciliation variance data and the reconciliation data carry out Reconciliation.
The technical solution of the embodiment of the present invention, by obtaining reconciliation variance data and reconciliation data, by reconciliation variance data In first identifier and reconciliation data in second identifier matched.Since first identifier and second identifier have uniqueness, It is whether consistent with second identifier to may determine that first identifier, to match reconciliation variance data and reconciliation data.Reached when The reconciliation variance data do not suspended and generated when transaction is cut to carry out to flat effect.
Embodiment six
The embodiment of the present invention six additionally provides a kind of computer readable storage medium, is stored thereon with computer program, should A kind of such as variance data account checking method provided by any embodiment of the invention is realized when program is executed by processor, this method can To include:
Reconciliation variance data is obtained, the reconciliation variance data includes first identifier and the first information;
Reconciliation data are obtained, the reconciliation data include second identifier and the second information;
According to the first identifier and the second identifier, matches the reconciliation variance data and the reconciliation data carry out Reconciliation.
The computer readable storage medium of the embodiment of the present invention, can be using one or more computer-readable media Any combination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.Computer Readable storage medium storing program for executing for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, dress It sets or device, or any above combination.The more specific example (non exhaustive list) of computer readable storage medium wraps It includes: there is the electrical connection of one or more conducting wires, portable computer diskette, hard disk, random access memory (RAM), read-only Memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer-readable Storage medium can be it is any include or storage program tangible medium, the program can be commanded execution system, device or Device use or in connection.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal, Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for By the use of instruction execution system, device or device or program in connection.
The program code for including on storage medium can transmit with any suitable medium, including --- but it is not limited to nothing Line, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
The computer for executing operation of the present invention can be write with one or more programming languages or combinations thereof Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++, It further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion Divide and partially executes or executed on remote computer or terminal completely on the remote computer on the user computer.It is relating to And in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or extensively Domain net (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as provided using Internet service Quotient is connected by internet).
The technical solution of the embodiment of the present invention, by obtaining reconciliation variance data and reconciliation data, by reconciliation variance data In first identifier and reconciliation data in second identifier matched.Since first identifier and second identifier have uniqueness, It is whether consistent with second identifier to may determine that first identifier, to match reconciliation variance data and reconciliation data.Reached when The reconciliation variance data do not suspended and generated when transaction is cut to carry out to flat effect.
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation, It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.

Claims (10)

1. a kind of method of variance data reconciliation characterized by comprising
Reconciliation variance data is obtained, the reconciliation variance data includes first identifier and the first information;
Reconciliation data are obtained, the reconciliation data include second identifier and the second information;
According to the first identifier and the second identifier, matches the reconciliation variance data and the reconciliation data carry out pair Account.
2. the method for variance data reconciliation as described in claim 1, which is characterized in that described according to the first identifier and institute Second identifier is stated, the reconciliation variance data is matched and the reconciliation data carries out reconciliation, comprising:
Extract the first identifier of the reconciliation variance data;
Extract the second identifier of the reconciliation data;
Judge whether the first identifier matches with the second identifier and carries out reconciliation.
3. the method for variance data reconciliation as claimed in claim 2, which is characterized in that described whether to judge the first identifier It is matched with the second identifier and carries out reconciliation, comprising:
If the first identifier and the second identifier successful match, compare the first information and second information;
If the first identifier and the non-successful match of the second identifier, are added to rolling number for the reconciliation variance data According in library.
4. the method for variance data reconciliation as claimed in claim 3, which is characterized in that if in the first identifier and described The non-successful match of second identifier, then after the reconciliation variance data being added in rolling data library, comprising:
Obtain the waiting time that the reconciliation variance data is added to behind the rolling data library;
Match the waiting time and preset time threshold;
If waiting time reaches the preset time threshold, again according to the first identifier and the second identifier, It matches the reconciliation variance data and the reconciliation data carries out reconciliation.
5. the method for variance data reconciliation as claimed in claim 3, which is characterized in that the first information and second letter Breath is including at least one or more in user identifier, amount of money numerical value.
6. the method for variance data reconciliation as claimed in claim 5, which is characterized in that described to compare the first information and institute State the second information, comprising:
Obtain the amount of money numerical value of the first information;
Obtain the amount of money numerical value of second information;
Whether amount of money numerical value and the amount of money numerical value of second information for comparing the first information are consistent.
7. the method for variance data reconciliation as described in claim 1, which is characterized in that the acquisition reconciliation variance data, packet It includes:
Real-time reconciliation is carried out to the received accounting data of system according to preset time interval;
According to the result of the real-time reconciliation using not to flat accounting data as the reconciliation variance data.
8. a kind of device of variance data reconciliation characterized by comprising
Module is obtained, for obtaining reconciliation variance data, the reconciliation variance data includes first identifier and the first information;It obtains Reconciliation data, the reconciliation data include second identifier and the second information;
Matching module, for according to the first identifier and the second identifier, matching the reconciliation variance data and described right Account data carry out reconciliation.
9. a kind of server characterized by comprising
One or more processors;
Storage device, for storing one or more programs;
When one or more of programs are executed by one or more of processors, so that one or more of processors are real Now such as the method for variance data reconciliation of any of claims 1-7.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor The method such as variance data reconciliation of any of claims 1-7 is realized when execution.
CN201910755519.3A 2019-08-15 2019-08-15 A kind of method, apparatus, server and the storage medium of variance data reconciliation Pending CN110443690A (en)

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Application publication date: 20191112