CN111861436A - Data processing method, device, system, medium executed by server - Google Patents
Data processing method, device, system, medium executed by server Download PDFInfo
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- CN111861436A CN111861436A CN201910337804.3A CN201910337804A CN111861436A CN 111861436 A CN111861436 A CN 111861436A CN 201910337804 A CN201910337804 A CN 201910337804A CN 111861436 A CN111861436 A CN 111861436A
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- order
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- unpaid
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/08—Payment architectures
- G06Q20/10—Payment architectures specially adapted for electronic funds transfer [EFT] systems; specially adapted for home banking systems
- G06Q20/102—Bill distribution or payments
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
Abstract
The present disclosure provides a data processing method performed by a server, including: acquiring a target order, wherein the target order is an order which is not paid and is in a delayed payment state; determining whether the payment resources related to the target order meet a first preset condition; and when the payment resources meet a first preset condition, acquiring corresponding specific resources from a user account corresponding to the target order. The present disclosure also provides a data processing apparatus, a data processing system, and a computer-readable storage medium.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and more particularly, to a data processing method performed by a server, a data processing apparatus, a data processing system, and a computer-readable storage medium.
Background
In the transaction process, the existing payment mode is not perfect. For example, during a promotion, a large number of orders are generated due to a large number of users conducting transactions, who generally want to complete payment as soon as possible in order for the order to enter delivery as soon as possible. However, when a large number of orders are paid, the payment channel of the cash register is often unable to provide services normally in a short time, which may cause repeated payments by the user, or unsuccessful payments, which may cause a large number of complaints and even loss of the customer order. Therefore, how to improve the payment experience of the user and ensure the timely delivery of the order, so that the improvement of the shopping experience of the user becomes a problem which needs to be solved urgently at present.
In the course of implementing the disclosed concept, the inventor finds that at least the following problems exist in the prior art, which generally cause the payment channel of the cash register to fail to provide the service normally in a short time when a large number of orders are paid, thereby causing the user to pay repeatedly, or the payment is unsuccessful, causing a large number of complaints and even the loss of the order.
Disclosure of Invention
In view of the above, the present disclosure provides an optimized data processing method performed by a server, a data processing apparatus, a data processing system, and a computer-readable storage medium.
One aspect of the present disclosure provides a data processing method performed by a server, including: the method comprises the steps of obtaining a target order, wherein the target order is an order which is not paid and is in a delayed payment state, determining whether payment resources related to the target order meet a first preset condition, and obtaining corresponding specific resources from a user account corresponding to the target order when the payment resources meet the first preset condition.
According to an embodiment of the present disclosure, the target order includes: and the payment mode of the target order. The determining whether the payment resource related to the target order meets a first preset condition comprises: determining whether hardware resources in the server meet a second preset condition, and determining whether a performance index related to the payment mode in the server meets an index threshold value when the hardware resources meet the second preset condition.
According to an embodiment of the present disclosure, the method further includes: receiving request data of a user for an unpaid order, wherein the request data is used for requesting to mark the unpaid order as a delayed payment state, marking the unpaid order as the delayed payment state based on the request data to obtain the target order, and generating distribution data of the target order.
According to an embodiment of the present disclosure, the marking that the unpaid order is in the delayed payment state based on the request data includes: and acquiring credit data of the user corresponding to the unpaid order, and marking the unpaid order to be in the delayed payment state when the credit data meets a third preset condition.
According to an embodiment of the present disclosure, the method further includes: and determining specific resources in the unpaid order, and sending inquiry information to a user corresponding to the unpaid order when the specific resources meet a resource threshold, wherein the inquiry information is used for inquiring whether the unpaid order needs to be marked as a delayed payment state.
Another aspect of the present disclosure provides a data processing apparatus including: the device comprises a first acquisition module, a first determination module and a second acquisition module. The method comprises the steps that a first obtaining module obtains a target order, the target order is an order which is not paid and is in a delayed payment state, a first determining module determines whether payment resources related to the target order meet a first preset condition, and a second obtaining module obtains corresponding specific resources from a user account corresponding to the target order when the payment resources meet the first preset condition.
According to an embodiment of the present disclosure, the target order includes: and the payment mode of the target order. The determining whether the payment resource related to the target order meets a first preset condition comprises: determining whether hardware resources in a server meet a second preset condition, and determining whether a performance index related to the payment mode in the server meets an index threshold value when the hardware resources meet the second preset condition.
According to an embodiment of the present disclosure, the apparatus further includes: the device comprises a receiving module, a marking module and a generating module. The receiving module receives request data of a user for an unpaid order, the request data is used for requesting to mark the unpaid order in a delayed payment state, the marking module marks the unpaid order in the delayed payment state based on the request data so as to obtain the target order, and the generating module generates distribution data of the target order.
According to an embodiment of the present disclosure, the marking that the unpaid order is in the delayed payment state based on the request data includes: and acquiring credit data of the user corresponding to the unpaid order, and marking the unpaid order to be in the delayed payment state when the credit data meets a third preset condition.
According to an embodiment of the present disclosure, the apparatus further includes: a second determining module and a sending module. The second determining module determines a specific resource in the unpaid order, and the sending module sends inquiry information to a user corresponding to the unpaid order when the specific resource meets a resource threshold, wherein the inquiry information is used for inquiring whether the unpaid order needs to be marked as a delayed payment state.
Another aspect of the present disclosure provides a computer-readable storage medium storing computer-executable instructions for implementing the method as described above when executed.
Another aspect of the disclosure provides a computer program comprising computer executable instructions for implementing the method as described above when executed.
According to the embodiment of the disclosure, the problem that in the prior art, when a large number of orders are paid, a payment channel of a cash desk cannot normally provide service in a short time, so that a user can pay repeatedly or pay unsuccessfully, and a large number of complaints and even loss of bills can be caused can be solved at least partially, and therefore the payment experience of the user can be improved, the timely delivery of the orders can be ensured, and the technical effect of the shopping experience of the user can be improved.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of embodiments of the present disclosure with reference to the accompanying drawings, in which:
fig. 1 schematically shows a system architecture of a data processing method and a data processing system performed by a server according to an embodiment of the present disclosure;
FIG. 2 schematically shows a flow chart of a data processing method performed by a server according to an embodiment of the present disclosure;
fig. 3 schematically shows a flow chart of a data processing method performed by a server according to another embodiment of the present disclosure;
FIG. 4 schematically shows a block diagram of a data processing apparatus according to an embodiment of the present disclosure;
FIG. 5 schematically shows a block diagram of a data processing apparatus according to another embodiment of the present disclosure; and
FIG. 6 schematically shows a block diagram of a computer system suitable for data processing according to an embodiment of the present disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.). Where a convention analogous to "A, B or at least one of C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B or C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).
An embodiment of the present disclosure provides a data processing method performed by a server, including: the method comprises the steps of obtaining a target order, wherein the target order is an order which is not paid and is in a delayed payment state, determining whether payment resources related to the target order meet a first preset condition, and obtaining corresponding specific resources from a user account corresponding to the target order when the payment resources meet the first preset condition.
Fig. 1 schematically shows a system architecture of a data processing system and a data processing method performed by a server according to an embodiment of the present disclosure. It should be noted that fig. 1 is only an example of a system architecture to which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, and does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.
As shown in fig. 1, the system architecture 100 according to this embodiment may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the terminal devices 101, 102, 103. The background management server may analyze and perform other processing on the received data such as the user request, and feed back a processing result (e.g., a webpage, information, or data obtained or generated according to the user request) to the terminal device.
It should be noted that the data processing method provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the data processing apparatus provided by the embodiments of the present disclosure may be generally disposed in the server 105. The data processing method provided by the embodiment of the present disclosure may also be executed by a server or a server cluster different from the server 105 and capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Accordingly, the data processing apparatus provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the terminal devices 101, 102, 103 and/or the server 105.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Fig. 2 schematically shows a flow chart of a data processing method performed by a server according to an embodiment of the present disclosure.
As shown in fig. 2, the method includes operations S210 to S230.
In operation S210, a target order is obtained, where the target order is an order that is unpaid and in a delayed payment state.
According to the embodiment of the disclosure, when a user purchases on the e-commerce platform, after the user places an order, the user cannot pay the order in time due to the limitation of the payment condition, at this time, the user can mark the unpaid order as a delayed payment order through a delayed contract mechanism provided by the e-commerce platform, so that the e-commerce platform can automatically deduct corresponding amount from an account of the user to complete the payment of the order under the condition that the later payment condition allows. The unpaid order in the delayed payment state is a target order, and the target order can enter a distribution flow so as to ensure that the target order can be distributed in time when the payment condition limits the timely payment of the user, and good shopping experience is brought to the user.
In the embodiment of the present disclosure, after the user starts the time-delay contract mechanism, the unpaid orders stored in the order system are marked as target orders, for example, and the server of the e-commerce platform may obtain the target orders from the order system at a specific time, for example. For example, the target orders may be obtained every preset time period, or the target orders may be obtained at a preset time point.
In operation S220, it is determined whether the payment resource related to the target order satisfies a first preset condition.
In operation S230, when the payment resource satisfies a first preset condition, a corresponding specific resource is acquired from a user account corresponding to the target order.
According to the embodiment of the disclosure, after the server acquires the target order from the order system, whether the payment resource related to the target order meets the first preset condition or not can be determined. The target order includes a payment method, for example, the payment method may be a payment method selected when the user places an order and starts a delayed contract mechanism, and the payment method includes, for example, unionpay, wechat payment, white-stripe payment in kyoto, and the like. The payment resources related to the target order may include, for example, hardware resources of the server and performance indicators related to the payment method in the server.
The payment resource meeting the first preset condition may be, for example, a hardware resource of the server and a performance index related to the payment method sufficient for operating the payment function.
Specifically, the determining whether the payment resource related to the target order meets a first preset condition includes: and determining whether the hardware resources in the server meet a second preset condition, and determining whether the performance index related to the payment mode in the server meets an index threshold value when the hardware resources meet the second preset condition.
According to the embodiment of the present disclosure, the hardware resource may be, for example, a CPU, a memory, and a network IO (Input and output) state of the server. The hardware resource of the server satisfying the second preset condition may be, for example, that the CPU utilization of the current server does not exceed a first preset value, and the first preset value may be, for example, 60%. And when the CPU utilization rate of the server exceeds a first preset value, the current server is busy and is not suitable for payment processing of the target order. The hardware resource of the server may meet the second preset condition, that the memory usage rate of the server does not exceed a second preset value (the second preset value may be specifically set according to an actual application situation), or that the network IO state of the server is a non-blocking state, and the like. It is understood that the hardware resource in the server satisfying the second preset condition may be that the hardware resource satisfies the following conditions at the same time: the CPU utilization rate does not exceed a first preset value, the memory utilization rate of the server does not exceed a second preset value, and the network IO state of the server is a non-blocking state.
According to the embodiment of the disclosure, when the hardware resource of the server meets the second preset condition, whether the performance index related to the payment method meets the index threshold value can be further determined. The payment method may be a plurality of payment methods, each payment method corresponds to a corresponding payment interface, and the performance index related to the payment method may be a response performance index of the corresponding interface. For example, when the payment method of the target order is unionpay, the server may determine whether the performance index related to unionpay satisfies the index threshold according to the response performance index of the interface corresponding to unionpay. The index threshold may be a preset threshold, for example. For example, the preset index threshold is 500ms, when the index threshold of the interface for which the server side obtains the current unionpay is 700ms, it indicates that the performance of the interface for the current unionpay is not good and is not suitable for payment, at this time, the server may continue to detect the index threshold of the interface for the unionpay, when the index threshold is detected to be lower than 500ms, the server may start a payment process, and automatically deduct a specific resource corresponding to the target order from the account of the user, where the specific resource may be, for example, a corresponding amount.
According to the method and the device, through a time delay contract mechanism, the order can be delivered firstly after the order placement of the user is completed and under the condition that the order is not paid, and the server automatically completes payment in an effective time period, for example, the server automatically completes payment when a service channel is relatively idle, so that the order of the user is enabled to avoid a payment peak, and the shopping experience of the user is improved.
Fig. 3 schematically shows a flow chart of a data processing method performed by a server according to another embodiment of the present disclosure.
As shown in fig. 3, the method includes operations S210 to S230 and operations S310 to S350.
In operation S310, a specific resource in the unpaid order is determined. For example, after the user places an order on the e-commerce platform, the amount of the unpaid order is determined.
In operation S320, when the specific resource satisfies the resource threshold, query information is sent to the user corresponding to the unpaid order, where the query information is used to query whether the unpaid order needs to be marked as a delayed payment state.
According to the embodiment of the disclosure, the resource threshold may be a preset delayed contract cash payment amount, and the preset resource may be specifically set according to the actual application, for example, may be 200 yuan, 500 yuan, and the like. The particular resource satisfying the resource threshold may be, for example, an amount of the unpaid order being less than the resource threshold, e.g., an amount to be paid in the unpaid order being less than 200 dollars. When the specific resource meets the resource threshold, the method automatically jumps to the interface for starting the delayed fit payment service, and the user can determine whether to start the delayed fit payment service on the interface. When the user makes an operation of determining to start the delayed fit payment service on the delayed fit payment service interface, request data is generated according to the operation of the user and is sent to the server for processing, when the user does not need to start the delayed fit payment service, the user enters a traditional cash register interface, and the user can continue to pay the order on the traditional cash register interface.
In operation S330, request data of a user for an unpaid order is received, where the request data is used to request that the unpaid order be marked in a delayed payment state.
In operation S340, the unpaid order is marked in a delayed payment state based on the request data to obtain the target order.
In operation S350, delivery data for the target order is generated.
For example, the server may receive request data that the user needs to start a delayed fit payment service, and mark the unpaid order as a target order according to the request data. After the user starts the delayed fit payment service, the target order is locked, for example, and in order to ensure that the transaction is normally performed, the target order cannot be cancelled or modified, for example, and meanwhile, the target order enters the distribution process.
In the embodiment of the present disclosure, after the user starts the delayed contract mechanism to generate the target order, for example, the server may automatically acquire the corresponding specific resource from the user account corresponding to the target order when it is detected that the payment resource meets the first preset condition.
According to an embodiment of the present disclosure, marking an unpaid order in a delayed payment state based on request data includes: and acquiring credit data of the user corresponding to the unpaid order, and marking the unpaid order to be in a delayed payment state when the credit data meets a third preset condition.
In the embodiment of the disclosure, after the delayed contract cash register service is started, the order can enter the distribution process without payment. Therefore, in order to reduce the risk of merchants in the transaction process and improve the transaction experience of users, the disclosed embodiments may allow users with good credit records to start a delayed contract cash register service, for example. Thus, the satisfaction of the third preset condition by the user credit data may be, for example, the absence of bad transaction records in the user's historical transaction data. When the user credit data meets the third preset condition, a delayed contract cashing service can be started for the user to mark an unpaid order of the user as a target order, the target order can enter a distribution process, and then the server automatically acquires corresponding specific resources from an account of the user when detecting that the payment resources meet the first preset condition.
According to the embodiment of the disclosure, when the user decides to start the delayed contract cashing service, the user can autonomously set the amount of automatic payment, the payment mode, the deduction sequence, the preferential payment use method and the like on the delayed contract cashing service interface.
The shopping experience of the user is improved in a mode of delaying contract cash registering service, for example, the order can be delivered first under the condition that the payment is not made after the order is placed by the user, and the user does not need to worry that the order cannot be delivered due to unsuccessful payment caused by the limitation of payment resources. Meanwhile, the server can autonomously schedule payment for a target order of the starting delayed contract cash-receiving service so as to ensure smooth payment and bring the user with extreme experience.
It will be appreciated that payment is made by the delayed contract checkout service so that the user may not have to make a manual payment immediately after placing the order, and that an order that opens the delayed contract checkout service may, for example, be an order that has already been completed, except that the actual payment will be subsequently completed automatically by the server, and delivery of the order is not dependent on having to be completed.
Fig. 4 schematically shows a block diagram of a data processing device according to an embodiment of the present disclosure.
As shown in fig. 4, the data processing apparatus 400 includes a first obtaining module 410, a first determining module 420, and a second obtaining module 430.
The first obtaining module 410 may be used to obtain a target order, which is an order that is unpaid and in a delayed payment state. According to the embodiment of the present disclosure, the first obtaining module 410 may, for example, perform operation S210 described above with reference to fig. 2, which is not described herein again.
The first determination module 420 may be used to determine whether the payment resources associated with the target order satisfy a first preset condition.
According to an embodiment of the present disclosure, the target order comprises: the payment mode of the target order. Determining whether the payment resource related to the target order meets a first preset condition, including: and determining whether the hardware resources in the server meet a second preset condition, and determining whether the performance index related to the payment mode in the server meets an index threshold value when the hardware resources meet the second preset condition.
According to the embodiment of the present disclosure, the first determining module 420 may perform, for example, operation S220 described above with reference to fig. 2, which is not described herein again.
The second obtaining module 430 may be configured to obtain the corresponding specific resource from the user account corresponding to the target order when the payment resource meets the first preset condition. According to the embodiment of the present disclosure, the second obtaining module 430 may, for example, perform operation S230 described above with reference to fig. 2, which is not described herein again.
Fig. 5 schematically shows a block diagram of a data processing device according to another embodiment of the present disclosure.
As shown in fig. 5, the data processing apparatus 500 includes a first obtaining module 410, a first determining module 420, a second obtaining module 430, a second determining module 510, a sending module 520, a receiving module 530, a marking module 540, and a generating module 550. The first obtaining module 410, the first determining module 420, and the second obtaining module 430 are the same as or similar to the modules described above with reference to fig. 4, and are not described herein again.
The second determination module 510 may be used to determine a particular resource in an unpaid order. According to an embodiment of the present disclosure, the second determining module 510 may perform, for example, operation S310 described above with reference to fig. 3, which is not described herein again.
The sending module 520 may be configured to send query information to a user corresponding to the unpaid order when the specific resource satisfies the resource threshold, where the query information is used to query whether the unpaid order needs to be marked as a delayed payment state. According to the embodiment of the present disclosure, the sending module 520 may, for example, perform the operation S320 described above with reference to fig. 3, which is not described herein again.
The receiving module 530 may be configured to receive request data of a user for an unpaid order, the request data requesting that the unpaid order be marked as a delayed payment state. According to the embodiment of the present disclosure, the receiving module 530 may perform, for example, the operation S330 described above with reference to fig. 3, which is not described herein again.
The marking module 540 may be configured to mark the unpaid order as in a delayed payment state based on the request data to obtain the target order.
According to an embodiment of the present disclosure, marking an unpaid order in a delayed payment state based on request data includes: and acquiring credit data of the user corresponding to the unpaid order, and marking the unpaid order to be in a delayed payment state when the credit data meets a third preset condition.
According to the embodiment of the present disclosure, the marking module 540 may, for example, perform the operation S340 described above with reference to fig. 3, which is not described herein again.
The generation module 550 may be used to generate delivery data for the target order. According to the embodiment of the present disclosure, the generating module 550 may perform, for example, the operation S350 described above with reference to fig. 3, which is not described herein again.
Any number of modules, sub-modules, units, sub-units, or at least part of the functionality of any number thereof according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules, sub-modules, units, and sub-units according to the embodiments of the present disclosure may be implemented by being split into a plurality of modules. Any one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in any other reasonable manner of hardware or firmware by integrating or packaging a circuit, or in any one of or a suitable combination of software, hardware, and firmware implementations. Alternatively, one or more of the modules, sub-modules, units, sub-units according to embodiments of the disclosure may be at least partially implemented as a computer program module, which when executed may perform the corresponding functions.
For example, any plurality of the first obtaining module 410, the first determining module 420, the second obtaining module 430, the second determining module 510, the sending module 520, the receiving module 530, the marking module 540, and the generating module 550 may be combined and implemented in one module, or any one of them may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the first obtaining module 410, the first determining module 420, the second obtaining module 430, the second determining module 510, the sending module 520, the receiving module 530, the marking module 540, and the generating module 550 may be at least partially implemented as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or implemented by any one of three implementations of software, hardware, and firmware, or a suitable combination of any of them. Alternatively, at least one of the first obtaining module 410, the first determining module 420, the second obtaining module 430, the second determining module 510, the sending module 520, the receiving module 530, the marking module 540, and the generating module 550 may be at least partially implemented as a computer program module that, when executed, may perform a corresponding function.
FIG. 6 schematically shows a block diagram of a computer system suitable for data processing according to an embodiment of the present disclosure. The computer system illustrated in FIG. 6 is only one example and should not impose any limitations on the scope of use or functionality of embodiments of the disclosure.
As shown in fig. 6, a computer system 600 according to an embodiment of the present disclosure includes a processor 601, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. Processor 601 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 601 may also include onboard memory for caching purposes. Processor 601 may include a single processing unit or multiple processing units for performing different actions of a method flow according to embodiments of the disclosure.
In the RAM 603, various programs and data necessary for the operation of the system 600 are stored. The processor 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. The processor 601 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM 602 and/or RAM 603. It is to be noted that the programs may also be stored in one or more memories other than the ROM 602 and RAM 603. The processor 601 may also perform various operations of the method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.
According to an embodiment of the present disclosure, system 600 may also include an input/output (I/O) interface 605, input/output (I/O) interface 605 also connected to bus 604. The system 600 may also include one or more of the following components connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
According to embodiments of the present disclosure, method flows according to embodiments of the present disclosure may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program, when executed by the processor 601, performs the above-described functions defined in the system of the embodiments of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.
According to embodiments of the present disclosure, the computer-readable storage medium may be a computer-non-volatile computer-readable storage medium, which may include, for example and without limitation: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM 602 and/or RAM 603 described above and/or one or more memories other than the ROM 602 and RAM 603.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.
The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.
Claims (12)
1. A data processing method performed by a server, comprising:
acquiring a target order, wherein the target order is an order which is not paid and is in a delayed payment state;
determining whether the payment resources related to the target order meet a first preset condition; and
and when the payment resources meet a first preset condition, acquiring corresponding specific resources from a user account corresponding to the target order.
2. The method of claim 1, wherein:
the target order includes: the payment mode of the target order;
the determining whether the payment resource related to the target order meets a first preset condition comprises:
Determining whether hardware resources in the server meet a second preset condition; and
and when the hardware resource meets a second preset condition, determining whether a performance index related to the payment mode in the server meets an index threshold value.
3. The method of claim 1, further comprising:
receiving request data of a user for an unpaid order, wherein the request data is used for requesting to mark the unpaid order as a delayed payment state;
marking the unpaid order in a delayed payment state based on the request data to obtain the target order; and
and generating the distribution data of the target order.
4. The method of claim 3, wherein said marking the unpaid order in a delayed payment state based on the request data comprises:
acquiring credit data of a user corresponding to the unpaid order;
and when the credit data meet a third preset condition, marking that the unpaid order is in the delayed payment state.
5. The method of claim 3, further comprising:
determining a particular resource in the unpaid order; and
and when the specific resource meets a resource threshold value, sending inquiry information to a user corresponding to the unpaid order, wherein the inquiry information is used for inquiring whether the unpaid order needs to be marked into a delayed payment state.
6. A data processing apparatus comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module acquires a target order, and the target order is an order which is not paid and is in a delayed payment state;
the first determination module is used for determining whether the payment resources related to the target order meet a first preset condition; and
and the second acquisition module is used for acquiring corresponding specific resources from the user account corresponding to the target order when the payment resources meet a first preset condition.
7. The apparatus of claim 6, wherein:
the target order includes: the payment mode of the target order;
the determining whether the payment resource related to the target order meets a first preset condition comprises:
determining whether hardware resources in the server meet a second preset condition; and
and when the hardware resource meets a second preset condition, determining whether a performance index related to the payment mode in the server meets an index threshold value.
8. The apparatus of claim 6, further comprising:
the receiving module is used for receiving request data of a user for an unpaid order, wherein the request data is used for requesting to mark the unpaid order as a delayed payment state;
The marking module is used for marking the unpaid order in a delayed payment state based on the request data so as to obtain the target order; and
and the generating module is used for generating the distribution data of the target order.
9. The apparatus of claim 8, wherein the marking of the unpaid order in a delayed payment state based on the request data comprises:
acquiring credit data of a user corresponding to the unpaid order;
and when the credit data meet a third preset condition, marking that the unpaid order is in the delayed payment state.
10. The apparatus of claim 8, further comprising:
a second determination module that determines a particular resource in the unpaid order; and
and the sending module is used for sending inquiry information to the user corresponding to the unpaid order when the specific resource meets the resource threshold, wherein the inquiry information is used for inquiring whether the unpaid order needs to be marked as a delayed payment state or not.
11. A data processing system comprising:
one or more processors;
a storage device for storing one or more programs,
wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-5.
12. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method of any one of claims 1 to 5.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910337804.3A CN111861436A (en) | 2019-04-24 | 2019-04-24 | Data processing method, device, system, medium executed by server |
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| CN201910337804.3A CN111861436A (en) | 2019-04-24 | 2019-04-24 | Data processing method, device, system, medium executed by server |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112541801A (en) * | 2020-12-08 | 2021-03-23 | 深圳市丰巢网络技术有限公司 | Express item acquisition control method and device, electronic equipment and storage medium |
| CN113504858A (en) * | 2021-07-16 | 2021-10-15 | 北京猿力未来科技有限公司 | Order page processing method, device, equipment and storage medium |
-
2019
- 2019-04-24 CN CN201910337804.3A patent/CN111861436A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112541801A (en) * | 2020-12-08 | 2021-03-23 | 深圳市丰巢网络技术有限公司 | Express item acquisition control method and device, electronic equipment and storage medium |
| CN113504858A (en) * | 2021-07-16 | 2021-10-15 | 北京猿力未来科技有限公司 | Order page processing method, device, equipment and storage medium |
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