CN109753383B - Score calculation method and device - Google Patents
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- CN109753383B CN109753383B CN201811613272.3A CN201811613272A CN109753383B CN 109753383 B CN109753383 B CN 109753383B CN 201811613272 A CN201811613272 A CN 201811613272A CN 109753383 B CN109753383 B CN 109753383B
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Abstract
The invention provides a score calculating method and a device, wherein the method comprises the following steps: receiving a plurality of score clearing data sent by each data center; wherein each data center performs multiple liquidity calculations simultaneously; selecting first-class score data corresponding to each data center from the plurality of score data to perform summary calculation; when any data center in each data center fails, acquiring second-class sorting data corresponding to the failed data center for summarizing and calculating. Therefore, when a certain data center fails, the transaction clearing processing can be continuously completed by using the backup data of other data centers, so that the service continuity of the clearing system can be guaranteed.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a score calculating method and device.
Background
At present, in the operation process of a clearing system of a certain data center, clearing services may be unavailable due to various faults, for example, natural disasters such as power failure, fire, earthquake and the like cause the data center where the clearing system is located to be unavailable as a whole, and then, for example, a single set or multiple sets of clearing reconciliation libraries are all down, and a clearing management library is all down, so that the clearing system services are interrupted, further, for example, a clearing processing system cluster fault, a clearing management system cluster fault or a clearing gateway system cluster fault causes the clearing system services to be unavailable, further, for example, a core switch, a spine switch, a leaf switch, a service switch and other infrastructure faults cause the clearing system services to be unavailable, so that the services of the clearing system are discontinuous.
In the related technology, after a fault data center is recovered, transaction clearing data which are not processed due to faults are processed through manual compensation, so that clearing services are completed.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, a first objective of the present invention is to provide a score calculating method, which is used to solve the problem that in the prior art, the operation can be performed only after the recovery of the faulty data center is required, and the timeliness of score calculation cannot be met.
The second purpose of the invention is to provide a liquidation calculating device.
A third object of the present invention is to provide another score calculating device.
A fourth object of the invention is to propose a non-transitory computer-readable storage medium.
A fifth object of the invention is to propose a computer program product.
In order to achieve the above object, an embodiment of a first aspect of the present invention provides a score calculating method, including:
receiving a plurality of score clearing data sent by each data center; wherein each data center performs a plurality of liquidation calculations simultaneously;
selecting first-class score clearing data corresponding to each data center from the plurality of score clearing data to perform summary calculation;
and when any data center in each data center fails, acquiring second type sorting data corresponding to the failed data center to perform the summarizing calculation.
Further, before obtaining the second type of classified data corresponding to the failed data center and performing the summary calculation, the method further includes:
and acquiring third-class sorting data corresponding to the data center with the fault to perform the summary calculation.
Further, the plurality of score data includes:
one or more of local inventory data, city-wide backup inventory data and remote backup inventory data.
Further, before receiving the plurality of pieces of score data sent by each data center, the method further includes:
and setting a local transaction clearing task, a city-sharing backup transaction clearing task and a remote backup transaction clearing task in each data center.
According to the score calculating method, a plurality of score data sent by each data center are received; wherein each data center performs multiple liquidity calculations simultaneously; selecting first-class score data from the plurality of score data for summary calculation; when any data center in each data center fails, acquiring second-class clearing data from the plurality of clearing data for summary calculation. Therefore, when a certain data center fails, the transaction clearing processing can be continuously completed by using the backup data of other data centers, so that the service continuity of the clearing system can be guaranteed.
In order to achieve the above object, a second embodiment of the present invention provides an inventory calculating device, including:
the receiving module is used for receiving a plurality of score clearing data sent by each data center; wherein each data center performs a plurality of liquidation calculations simultaneously;
the selecting module is used for selecting the first type of score clearing data corresponding to each data center from the plurality of score clearing data to perform summary calculation;
and the calculation module is used for acquiring second-class sorting data corresponding to the data center with the fault to perform the summary calculation when any data center in each data center has the fault.
Further, the calculation module is further configured to obtain third category clear data corresponding to the data center with the fault to perform the summary calculation.
Further, the plurality of score data includes:
one or more of local inventory data, city-wide backup inventory data and remote backup inventory data.
Further, the device further comprises:
and the setting module is used for setting a local transaction clearing task, a same-city backup transaction clearing task and a different-place backup transaction clearing task in each data center.
The score clearing calculation device of the embodiment of the invention receives a plurality of score clearing data sent by each data center; wherein each data center performs multiple liquidity calculations simultaneously; selecting first-class score data from the plurality of score data for summary calculation; when any data center in each data center fails, acquiring second-class clearing data from the plurality of clearing data for summary calculation. Therefore, when a certain data center fails, the transaction clearing processing can be continuously completed by using the backup data of other data centers, so that the service continuity of the clearing system can be guaranteed
In order to achieve the above object, a third embodiment of the present invention provides another score calculating device, including: memory, processor and computer program stored on the memory and executable on the processor, characterized in that the processor implements the score calculation method as described above when executing the program.
In order to achieve the above object, a fourth aspect of the present invention provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the score calculating method as described above.
In order to achieve the above object, a fifth embodiment of the present invention provides a computer program product, which when executed by an instruction processor in the computer program product, implements the score calculating method as described above.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flow chart of a score calculating method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an inventory calculating device according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of another score calculating device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of another score calculating device according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The score calculating method and apparatus according to the embodiment of the present invention will be described below with reference to the drawings.
Fig. 1 is a schematic flow chart of a score calculating method according to an embodiment of the present invention. As shown in fig. 1, the score calculating method includes the following steps:
s101, receiving a plurality of score clearing data sent by each data center; wherein each data center performs multiple liquidation calculations simultaneously.
The clearing calculation method of the embodiment of the invention aims to avoid the interruption of clearing service caused by a fault scene described by the background technology, improve the disaster tolerance capability of the clearing system and ensure the timeliness of the clearing service, the clearing system can continuously complete transaction clearing processing by using redundant backup data of other centers when one center fails by simultaneously carrying out clearing calculation on a plurality of clearing data such as local clearing data, same-city backup clearing data and remote backup clearing data, and the like, and the service continuity of the clearing system is ensured.
In practical application, the inventory system is connected with a plurality of data centers, for example, the inventory system of the internet platform is deployed by adopting a distributed architecture of three places and six data centers.
Specifically, the liquidation data of each data center can be redundantly backed up in the same city data center and the data centers at different places. The city is that two data centers are in the same area, for example, data center a and data center B are in city 1, that is, the city data center of data center a is B. The remote data center means that two data centers are not in the same area, for example, data center a is in city 1, and data center B is in city 2, that is, the remote data center of data center a is B.
In the implementation, each data center is provided with a local transaction clearing task, a same-city backup transaction clearing task and a different-place backup transaction clearing task. In order to ensure that each data center simultaneously executes a plurality of liquidation calculations, the liquidation calculations can be realized in a timing setting mode.
That is, each data center simultaneously executes one or more of the local transaction clearing task, the city-sharing backup transaction clearing task and the remote backup transaction clearing task, and after the execution is finished, each data center respectively collects the local clearing data, the city-sharing backup clearing data and the remote backup clearing data and uploads the collected data to the clearing system.
S102, selecting first-class score data corresponding to each data center from the plurality of score data to perform summary calculation.
S103, when any data center in each data center fails, acquiring second-class sorting data corresponding to the failed data center to perform summarizing calculation.
Specifically, after receiving a plurality of score clearing data sent by each data center, the score clearing system selects first-class score clearing data corresponding to each data center from the plurality of score clearing data to perform summary calculation, wherein the first-class score clearing data is local score clearing data. That is to say, after the score clearing control system receives a plurality of score clearing data such as local score clearing data, city-wide backup score clearing data and remote backup score clearing data uploaded by all the data centers, the local score clearing data of each data center is preferentially selected for batch summarization, so that the score clearing data calculation efficiency is improved.
Therefore, when any data center in each data center fails, the second type of clearing data corresponding to the failed data center is obtained for summarizing and calculating. The second type of inventory data can be one of city backup inventory data and remote backup inventory data, and can be selected and set according to actual application needs.
That is to say, when a data center fails to send the sorting data to the sorting control system, the sorting system will send an alarm, and after receiving the alarm, the batch sorting calculation can be completed by manually designating the same-city backup sorting data or the different-place backup sorting data, so as to ensure the service continuity of the sorting system.
It should be noted that one or more data centers may fail, and as long as the data center fails, the returning batch liquidation calculation may be completed by using the same-city backup liquidation data or the different-place backup liquidation data.
In summary, in the score calculating method according to the embodiment of the present invention, a plurality of score data sent by each data center are received; wherein each data center performs multiple liquidity calculations simultaneously; selecting first-class score data from the plurality of score data for summary calculation; when any data center in each data center fails, acquiring second-class clearing data from the plurality of clearing data for summary calculation. Therefore, when a certain data center fails, the transaction clearing processing can be continuously completed by using the backup data of other data centers, so that the service continuity of the clearing system can be guaranteed.
Fig. 2 is a schematic structural diagram of an inventory calculating device according to an embodiment of the present invention. As shown in fig. 2, includes: a receiving module 21, a selecting module 22 and a calculating module 23.
The receiving module 21 is configured to receive multiple pieces of score clearing data sent by each data center; wherein each data center performs multiple liquidation calculations simultaneously.
And the selecting module 22 is configured to select the first type of score data corresponding to each data center from the plurality of score data to perform summary calculation.
And the calculating module 23 is configured to, when any data center in each data center fails, obtain second type of sorted data corresponding to the failed data center to perform the summarizing calculation.
In this embodiment, the calculating module 23 is further configured to obtain third category sorting data corresponding to the failed data center for summary calculation.
In this embodiment, the plurality of score counts includes: one or more of local inventory data, city-wide backup inventory data and remote backup inventory data.
Further, with reference to fig. 3 and based on the embodiment shown in fig. 2, the apparatus may further include: a module 24 is provided.
The setting module 24 is configured to set a local transaction clearing task, a city backup transaction clearing task, and a remote backup transaction clearing task in each data center.
The score clearing calculation device of the embodiment of the invention receives a plurality of score clearing data sent by each data center; wherein each data center performs multiple liquidity calculations simultaneously; selecting first-class score data from the plurality of score data for summary calculation; when any data center in each data center fails, acquiring second-class clearing data from the plurality of clearing data for summary calculation. Therefore, when a certain data center fails, the transaction clearing processing can be continuously completed by using the backup data of other data centers, so that the service continuity of the clearing system can be guaranteed.
Fig. 4 is a schematic structural diagram of another score calculating device according to an embodiment of the present invention. This tally calculating device includes:
The processor 1002, when executing the program, implements the score calculating method provided in the above-described embodiment.
Further, the score calculating device further comprises:
a communication interface 1003 for communicating between the memory 1001 and the processor 1002.
A memory 1001 for storing computer programs that may be run on the processor 1002.
The processor 1002 is configured to implement the score calculating method according to the foregoing embodiment when executing the program.
If the memory 1001, the processor 1002, and the communication interface 1003 are implemented independently, the communication interface 1003, the memory 1001, and the processor 1002 may be connected to each other through a bus and perform communication with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
Optionally, in a specific implementation, if the memory 1001, the processor 1002, and the communication interface 1003 are integrated on one chip, the memory 1001, the processor 1002, and the communication interface 1003 may complete communication with each other through an internal interface.
The processor 1002 may be a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement embodiments of the present invention.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the liquidation calculation method as described above.
The present invention also provides a computer program product, which when executed by an instruction processor in the computer program product, implements the score calculating method as described above.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (6)
1. A score calculation method, comprising:
receiving a plurality of score clearing data sent by each data center; wherein each data center performs a plurality of liquidation calculations simultaneously;
selecting first-class score clearing data corresponding to each data center from the plurality of score clearing data to perform summary calculation;
when any data center in each data center fails, acquiring second type sorting data corresponding to the failed data center to perform summarizing calculation; the first type of clearing data is local clearing data, and the second type of clearing data is city backup clearing data or remote backup clearing data;
before receiving a plurality of pieces of score clearing data sent by each data center, the method further comprises the following steps:
and setting a local transaction clearing task, a city-sharing backup transaction clearing task and a remote backup transaction clearing task in each data center, so that each data center simultaneously executes the local transaction clearing task, the city-sharing backup transaction clearing task and the remote backup transaction clearing task.
2. The method of claim 1, before obtaining the second type of inventory data corresponding to the failed data center for the summary calculation, further comprising:
and acquiring third-class sorting data corresponding to the data center with the fault to perform the summary calculation.
3. An inventory computing device, comprising:
the receiving module is used for receiving a plurality of score clearing data sent by each data center; wherein each data center performs a plurality of liquidation calculations simultaneously;
the selecting module is used for selecting the first type of score clearing data corresponding to each data center from the plurality of score clearing data to perform summary calculation;
the calculation module is used for acquiring second-class sorting data corresponding to the data center with the fault to perform the summary calculation when any data center in each data center has the fault; the first type of clearing data is local clearing data, and the second type of clearing data is city backup clearing data or remote backup clearing data;
and the setting module is used for setting a local transaction clearing task, a city-sharing backup transaction clearing task and a remote backup transaction clearing task in each data center so that each data center simultaneously executes the local transaction clearing task, the city-sharing backup transaction clearing task and the remote backup transaction clearing task.
4. The apparatus of claim 3, further comprising:
and the computing module is further used for acquiring third-class sorting data corresponding to the data center with the fault to perform the summary computation.
5. An inventory computing device, comprising:
memory, processor and computer program stored on the memory and executable on the processor, characterized in that the processor implements the score calculation method as claimed in any of claims 1-2 when executing the program.
6. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the liquidation calculation method of any one of claims 1-2.
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| CN103646309A (en) * | 2013-12-04 | 2014-03-19 | 广东创能科技有限公司 | Ticket clearing system and method |
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Address after: 100045 21 / F, building 7, yard 1, Yuetan South Street, Xicheng District, Beijing Patentee after: NETSUNION CLEARING Corp. Address before: 100032 Room 101, 3 building, 29 hospital, Middle Road, North Third Ring Road, Xicheng District, Beijing. Patentee before: NETSUNION CLEARING Corp. |
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