CN115619339A

CN115619339A - Data processing method, system, device, medium and computer program product

Info

Publication number: CN115619339A
Application number: CN202211204313.XA
Authority: CN
Inventors: 杨海宁
Original assignee: China Construction Bank Corp
Current assignee: China Construction Bank Corp
Priority date: 2022-09-29
Filing date: 2022-09-29
Publication date: 2023-01-17

Abstract

The invention relates to the field of data processing, in particular to a data processing method, which is used for a checked data processing system comprising a client, a distributed storage and a checking end, and comprises the following steps: the client sends a reporting instruction to the checking end; the checking end sends the URL of the distributed storage closest to the client; the client sends the checked data to the distributed storage based on the URL information; the distributed storage distributes identification information for the checked data based on a preset rule and sends the identification information to the client; the client sends identification information and a checking instruction for checking the checked data to the checking end; the checking end responds to the received identification information and the checking instruction and sends a checking rule to the distributed storage; the distributed storage checks the checked data based on the checking rule and returns a checking result to the checking end; and the checking end sends the checking result to the client. The invention also relates to a system, a device, a medium and a computer program product for processing data.

Description

Data processing method, system, device, medium and computer program product

Technical Field

The present invention relates to the field of data processing, and in particular, to a method, system, device, medium, and computer program product for processing data.

Background

Financial institutions need to send data to a checking end on time for checking, checked data are mainly divided into report type data and detail type data, the file size of the report type data is usually small, data sending and data checking are convenient, the file size of the detail type data is large (detail flow of large-scale financial institutions can reach TB level), the data are limited by the bandwidth of a financial private network, the transmission time of the files is long, and the data checking time is long.

The reporting mode of the checked data is divided into a CS (client/server) mode and a BS (browser/server) mode, wherein:

and (3) checking and submitting by using a CS mode, namely, the financial institution installs client software which is in butt joint with a checking end on a PC (personal computer), and a small database is embedded in the client software. Before data submission, data checking is carried out on the file submitted by the financial institution, and then the data is uploaded to a checking server through a financial private network.

And checking and submitting by using a BS mode, namely, a financial institution accesses a system of a checking end through a browser of a PC (personal computer), uploads a submitted file directly to a checking server through the system, and checks the data quality on the checking server.

Due to the seriousness and related requirements of check submission, if the data of the financial institution is found to have problems and needs to be submitted again, the long time consumption and the repeated use will seriously affect the utilization data of the check end. Due to the requirement of judicious checking, the checking end can irregularly adjust the reporting requirement according to the requirement.

The CS mode has an advantage that the report file can be checked by using the computing resources of the client, however, when a large amount of detail data is reported, the local computing cannot efficiently meet the requirement, and in addition, the report adjustment or the check relation adjustment requires the update package to be issued from the server, so the client is inconvenient to update. The BS mode has an obvious advantage in upgrading, but is limited by the bandwidth of the private financial network and low timeliness of the processing mode when reporting detailed data, and particularly, repeated reporting is required when reporting errors occur, which seriously affects the checking efficiency.

Disclosure of Invention

The invention aims to provide a data processing method, a data processing system, data processing equipment, data processing media and a computer program product, which are different from the prior art, the data processing method uses distributed storage to store checked data, the distributed storage can be deployed in a financial institution or a province close to the financial institution, the data transmission speed is increased, the distributed file checking is realized by reasonably utilizing the computing resources of the distributed storage based on a preset rule, and the problem of low checking efficiency of detailed data in a BS mode is solved.

The embodiment of the invention discloses a data processing method which is used for a client and comprises the following steps:

sending a reporting instruction to a checking end;

receiving distributed storage URL information which is from the checking end and is closest to the client;

sending the checked data to the distributed storage based on the URL information;

receiving identification information of the checked data from the distributed storage, the identification information being allocated by the distributed storage based on a predetermined rule;

sending the identification information and a checking instruction for checking the checked data to the checking end; and

and receiving the checking result from the distributed storage forwarded by the checking terminal.

Optionally, the sending the report instruction to the checking end further includes:

receiving a template, a submission date and a submission flow of the checked data;

and sending the submission instruction to the checking terminal according to the template, submission date and submission flow of the checked data.

The embodiment of the invention discloses a data processing method, which is used for distributed storage and comprises the following steps:

receiving checked data from a client;

distributing identification information to the checked data based on a preset rule;

sending the identification information to the client;

receiving a check rule from the check end;

checking the checked data based on the checking rule; and are

And returning a checking result to the checking end.

The embodiment of the invention discloses a data processing method which is used for a check end, and the method comprises the following steps:

receiving a reporting instruction from the client;

sending the URL information of distributed storage closest to the client;

in response to receiving identification information of the checked data and a checking instruction for checking the checked data, sending a checking rule to the distributed storage, wherein the identification information is distributed by the distributed storage based on a predetermined rule;

and receiving the checking result from the distributed storage and forwarding the checking result to the client.

Optionally, the method further comprises:

and receiving the checking rule, wherein the checking rule comprises a checking formula and an SQL statement.

Alternatively,

the checking rule further comprises preset values of data type, data precision, whether an enumerated value is valid or not, and whether the enumerated value is empty or not.

The embodiment of the invention discloses a data processing method, which is used for a checked data processing system comprising a client, a distributed storage and a checking end, and comprises the following steps:

the client sends a reporting instruction to the checking terminal;

the check terminal sends the URL information of the distributed storage closest to the client;

the client sends checked data to the distributed storage based on the URL information;

the distributed storage distributes identification information to the checked data based on a preset rule and sends the identification information to the client;

the client sends the identification information and a checking instruction for checking the checked data to the checking terminal;

the checking end responds to the received identification information and the checking instruction and sends a checking rule to the distributed storage;

the distributed storage checks the checked data based on the checking rule and returns a checking result to the checking end;

and the checking end sends the checking result to the client.

Optionally, the sending, by the client, the report instruction to the checking end further includes:

the client receives the template, the submission date and the submission process of the checked data;

and the client sends a reporting instruction to the checking end according to the template, the reporting date and the reporting flow of the checked data.

Optionally, the method further comprises:

and the checking end receives the checking rule, wherein the checking rule comprises a checking formula and an SQL statement.

Alternatively, the first and second liquid crystal display panels may be,

The embodiment of the invention discloses a data processing system, which comprises a client module, a distributed storage module and a check end module; wherein

The client module sends a reporting instruction to the checking end module;

the check end module sends the URL information of the distributed storage module closest to the client end module;

the client module sends the checked data to the distributed storage module based on the URL information;

the distributed storage module distributes identification information for the checked data based on a preset rule and sends the identification information to the client module;

the client module sends the identification information and a checking instruction for checking the checked data to the checking end module;

the checking end module responds to the received identification information and the checking instruction and sends a checking rule to the distributed storage module;

the distributed storage module checks the checked data based on the checking rule and returns a checking result to the checking end module;

and the checking end module sends the checking result to the client end module.

Embodiments of the present invention disclose a device for processing data, the device comprising a memory storing computer-executable instructions and a processor, the instructions, when executed by the processor, causing the device to implement a method of processing data according to an embodiment of the present invention.

Embodiments of the present invention disclose a computer storage medium having stored thereon instructions that, when executed on a computer, cause the computer to perform a method of processing data according to an embodiment of the present invention.

Embodiments of the invention disclose a computer program product comprising computer executable instructions for execution by a processor to perform a method of processing data according to an embodiment of the invention.

Compared with the prior art, the implementation mode of the invention has the main differences and the effects that:

in the invention, distributed storage is introduced into the checking and submitting flow, so that the submitting efficiency is accelerated, the checking efficiency is improved by using the computing resources of the distributed storage, the checking rules can be flexibly changed as required, a large amount of time is saved for a financial institution and a checking end, and the data quality is improved.

Drawings

Fig. 1 shows a schematic diagram of a client and a check end according to an embodiment of the application.

FIG. 2 shows a schematic diagram of a checked-out data processing system according to an embodiment of the present application.

Fig. 3 illustrates a timing diagram of a processing method of data according to an embodiment of the present application.

FIG. 4 shows a block diagram of a user interaction module according to an embodiment of the application.

Fig. 5 shows a flow chart of a method of processing data for a client according to an embodiment of the application.

Fig. 6 shows a flow chart of a processing method for data of distributed storage according to an embodiment of the present application.

Fig. 7 shows a flowchart of a processing method for checking data of a terminal according to an embodiment of the present application.

FIG. 8 shows a block diagram of a processing system for data according to an embodiment of the present application.

Fig. 9 shows a hardware configuration block diagram of an electronic device according to an embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

Fig. 1 shows a schematic diagram of a client and a check end according to an embodiment of the invention, wherein:

the client 101 is a terminal used by the financial institution to report the checked data to the checking terminal 102, the client 101 may be a desktop client or a mobile client, and the mobile client may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, portable wearable devices, and the like. The client 101 may be installed with an application that can transmit data to the check terminal 102, such as a browser or a newspaper software provided by the check terminal, and transmit a data message or the like to the check terminal 102 through the browser or the newspaper software. The application related to the embodiment of the application may be a software client, or a client such as a web page or an applet, and if the application is a client such as a web page or an applet, the background server is a background server corresponding to the software or the web page or the applet, and the specific type of the client is not limited.

The check terminal 102 is a server for processing a check service of a financial institution, and may be a background server corresponding to delivery software installed on the client 101, for example, the server may be an independent physical server or a server cluster or a distributed system composed of a plurality of servers, and may also be a cloud server providing basic cloud computing services such as cloud service, a cloud database, cloud computing, a cloud function, cloud storage, network service, cloud communication, middleware service, domain name service, security service, CDN, and a big data and artificial intelligence platform, but is not limited thereto.

The client 101 and the verification terminal 102 are connected via a network 103, the network 103 includes one or more networks and may include various connection types, such as wired, wireless communication links, cloud, or fiber optic cables, and the like, and the specific examples of the network described above may include the internet provided by the communication provider of the client 101. In particular, the network 103 may be a financial private network, which is a private network between a financial institution and a checking end, and is used to ensure secure data transmission without disclosure, because the private network has a higher cost and a smaller network bandwidth.

In the prior art, the client 101 reports the checked data to the checking end 102 in the conventional CS mode or BS mode. Due to the seriousness and related requirements of check submission, if the data of the financial institution is found to have problems and needs to be submitted again, the long time consumption and the repeated use will seriously affect the utilization data of the check end. Due to the requirement of judicious checking, the checking end can irregularly adjust the submission requirement according to the requirement. The CS mode has an advantage that the report file can be checked by using the computing resources of the client, however, when a large amount of detail data is reported, the local computing cannot efficiently meet the requirement, and in addition, the report adjustment or the check relation adjustment requires the update package to be issued from the server, so the client is inconvenient to update. The BS mode has obvious advantages in upgrading, but is limited by the bandwidth of the private financial network and the timeliness that the processing mode is not high when reporting detail data, and particularly, repeated reporting is required when reporting errors occur, which seriously affects the checking efficiency.

In view of the foregoing technical problems, an embodiment of the present application provides a data processing method, which is used for a checked data processing system including a client, a distributed storage and a checking end. According to the technical scheme, the data acquisition, storage, use, processing and the like meet relevant regulations of national laws and regulations.

FIG. 2 shows a schematic diagram of a checked-out data processing system, according to an embodiment of the invention. The checked data processing system comprises a client 101, a distributed storage 201 and a checking end 102, wherein the distributed storage 201 comprises distributed storages 201a-201d which are deployed at different positions, and the distributed storage 201 can be deployed at a financial institution or a provincial bureau close to the financial institution. The client 101, the distributed storage 201 and the check end 102 are connected through a financial private network.

Fig. 3 illustrates a timing diagram of a processing method of data according to an embodiment of the present invention. The following describes the data processing method with reference to fig. 2 and 3: the method comprises the following steps:

s301, the client sends a reporting instruction to the checking end; for example, the report to be submitted may be customized by the checked-out data processing system, i.e., the template for the financial institution submission data may be customized. And the reporting date and the reporting flow can be customized, and whether the related information of locking and returning exists or not can be customized. The client 101 receives a template, a delivery date and a delivery flow of the checked data input by the user, wherein the template, the delivery date and the delivery flow of the checked data can be provided by the checking end; then, the client 101 sends a distribution instruction to the verification side 102 based on the template, the distribution date, and the distribution flow of the verified data. The invention decouples the management of the reported data from other management, can only process the related content of the metadata and the instruction, and improves the response capability of the system.

S302, the check end sends the URL of the distributed storage closest to the client;

for example, the distributed storages 201a to 201d are distributed in different geographic locations, the client 101 of the financial institution located in city x sends a report instruction to the check end 102 of the check end located in city y, and then the check end 102 determines that the distributed storage 201a in the distributed storage 201 is closest to the client 101, for example, the distributed storage 201a is deployed in the financial institution, or the distributed storage 201a is geographically or topologically closest to the financial institution. The check end 102 transmits the URL of the distributed storage 201a to the client 101 through the private financial network.

S303, the client sends the checked data to the distributed storage based on the URL; for example, the client 101 transmits the checked data to the distributed storage 201a based on the URL of the distributed storage 201a.

S304, distributed storage is based on a preset rule, identification information is distributed to the checked data, and the identification information is used for distinguishing different checked data and is used for distinguishing different checked data

S305, sending the identification information to a client;

for example, the distributed storage 201a assigns identification information L, which may be various codes or numbers assigned based on a predetermined rule, to the checked data received from the client 101, so as to distinguish the checked data corresponding to the identification information L from other checked data. The distributed storage 201a then sends the identification information L to the client 101.

S306, the client sends identification information and a checking instruction for checking checked data to the checking end; for example, the client 101 transmits the identification information L and a check instruction for checking the checked data to the check terminal 102.

S307, the checking end responds to the received identification information and the checking instruction and sends a checking rule to the distributed storage;

s308, distributed storage checks the checked data based on the checking rule, and the data is checked

S309, returning a checking result to the checking end;

and S310, the checking end sends the checking result to the client.

For example, the check end 102 sends the check rule to the distributed storage 201 in response to receiving the identification information L and the check instruction; the distributed storage 201 checks the checked data based on the checking rule, and returns a checking result to the checking 102 end; the check end 102 sends the check result to the client 101.

According to some embodiments of the present application, a custom checking rule may be received by a checked data processing system, for example, by a checking terminal thereof, wherein the checking rule includes a data type, a data precision, whether an enumerated value is valid, whether the enumerated value is a null predetermined value, and other checking logic. And corresponding check formulas and SQL sentences can be configured and filled in on line through the checked data processing system, and during checking, the check formulas and the SQL sentences are sent to the distributed storage by the check end.

According to some embodiments of the present application, the processing system of data further comprises a user interaction module, as shown in fig. 4, the user interaction module 400 comprising: a user authority management unit 401, an organization management unit 402, a distributed storage management unit 403, a submission management unit 404, and a check rule definition unit 405.

According to some embodiments of the application, the data processing system can perform personalized display for the user through permission configuration and the user autonomously selects the data category in the foreground. The personalized configuration can enable different users to obtain data of different regions and different types, and only the data in the selected range is calculated for the users when the financial index calculation is carried out, so that the users can obtain more accurate calculation results in the authority range.

In the invention, distributed storage is introduced into the checking and submitting flow, so that the submitting efficiency is accelerated, the checking efficiency is improved by using the computing resources of the distributed storage, the checking rules can be flexibly changed as required, a large amount of time is saved for financial institutions and checking terminals, and the data quality is improved.

Fig. 5 shows a flow chart of a method of processing data for a client according to an embodiment of the application, as shown, the method comprises:

s502, sending a report instruction to a checking end;

s504, receiving a distributed storage URL which is closest to the client from the checking end;

s506, based on the URL, the checked data are sent to distributed storage;

s508, receiving identification information of the checked data from the distributed storage, wherein the identification information is distributed by the distributed storage based on a preset rule and is used for distinguishing different checked data;

s510, sending identification information and a checking instruction for checking checked data to a checking end; and

and S512, receiving the checking result from the distributed storage forwarded by the checking terminal.

According to some embodiments of the present application, sending a submission instruction to the checking end further includes:

receiving a template, a submission date and a submission process of the checked data;

and sending a reporting instruction to the checking end according to the template, the reporting date and the reporting flow of the checked data.

Fig. 6 shows a flow diagram of a method of processing data for distributed storage according to an embodiment of the application, as shown, the method comprising:

s602, receiving checked data from a client;

s604, distributing identification information for the checked data based on a preset rule, wherein the identification information is used for distinguishing different checked data;

s606, sending the identification information to the client;

s608, receiving a check rule from a check end;

s610, checking the checked data based on the checking rule; and are

And S612, returning a checking result to the checking end.

Fig. 7 shows a flowchart of a processing method for checking data of a terminal according to an embodiment of the present application, and as shown, the method includes:

s702, receiving a reporting instruction from a client;

s704, sending the distributed storage URL closest to the client;

s706, in response to receiving the identification information of the checked data and a checking instruction for checking the checked data, sending a checking rule to the distributed storage, wherein the identification information is distributed by the distributed storage based on a predetermined rule and is used for distinguishing different checked data;

and S708, receiving the checking result from the distributed storage and forwarding the checking result to the client.

According to some embodiments of the application, the method further comprises:

and receiving a checking rule, wherein the checking rule comprises a checking formula and an SQL statement.

According to some embodiments of the application, the checking rule further includes predetermined values of data type, data precision, whether the enumerated value is valid, and whether the enumerated value is empty.

FIG. 8 shows a block diagram of a processing system for data according to an embodiment of the present application. As shown, system 800 includes a client module 802, a distributed storage module 804, and a check-end module 806; wherein

The client module 802 sends a reporting instruction to the check end module 806;

the check end module 806 sends the URL of the distributed storage module 804 closest to the client end module 802;

the client module 802 sends the checked data to the distributed storage module 804 based on the URL;

the distributed storage module 804 allocates identification information for the checked data based on a predetermined rule, and sends the identification information to the client module 802, where the identification information is used to distinguish different checked data;

the client module 802 sends the identification information and a check instruction for checking the checked data to the check end module 806;

the check end module 806 sends a check rule to the distributed storage module 804 in response to receiving the identification information and the check instruction;

the distributed storage module 804 checks the checked data based on the checking rule and returns a checking result to the checking end module 806;

the check end module 806 sends the check result to the client end module 802.

The first embodiment is a method embodiment corresponding to the present embodiment, and the present embodiment can be implemented in cooperation with the first embodiment. The related technical details mentioned in the first embodiment are still valid in this embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the first embodiment.

Fig. 9 is a block diagram of a hardware configuration of an electronic device that implements processing of data according to an embodiment of the present invention.

As shown in fig. 9, electronic device 900 may include one or more processors 902, a system motherboard 908 coupled to at least one of processors 902, system memory 904 coupled to system motherboard 908, non-volatile memory (NVM) 906 coupled to system motherboard 908, and a network interface 910 coupled to system motherboard 908.

The processor 902 may include one or more single-core or multi-core processors. The processor 902 may include any combination of general-purpose processors and dedicated processors (e.g., graphics processors, application processors, baseband processors, etc.). In embodiments of the invention, the processor 902 may be configured to perform one or more embodiments in accordance with the various embodiments shown in fig. 3-7.

In some embodiments, system motherboard 908 may include any suitable interface controllers to provide any suitable interface to at least one of processors 902 and/or any suitable device or component in communication with system motherboard 908.

In some embodiments, system motherboard 908 may include one or more memory controllers to provide an interface to system memory 904. System memory 904 may be used to load and store data and/or instructions. System memory 904 of electronic device 900 may include any suitable volatile memory, such as suitable Dynamic Random Access Memory (DRAM), in some embodiments.

NVM906 may include one or more tangible, non-transitory computer-readable media for storing data and/or instructions. In some embodiments, NVM906 may include any suitable non-volatile memory, such as flash memory, and/or any suitable non-volatile storage device, such as at least one of an HDD (Hard Disk Drive), CD (Compact Disc) Drive, DVD (Digital Versatile Disc) Drive.

The NVM906 can include a portion of a storage resource installed on a device of the electronic device 900 or it can be accessed by, but is not necessarily a part of, the device. For example, the NVM906 can be accessed over a network via the network interface 910.

In particular, system memory 904 and NVM906 may each include: a temporary copy and a permanent copy of instructions 920. The instructions 920 may include: instructions that, when executed by at least one of the processors 902, cause the electronic device 900 to implement the method illustrated in fig. 3-7. In some embodiments, instructions 920, hardware, firmware, and/or software components thereof may additionally/alternatively be located in system motherboard 908, network interface 910, and/or processor 902.

The network interface 910 may include a transceiver to provide a radio interface for the electronic device 900 to communicate with any other suitable device (e.g., front end module, antenna, etc.) over one or more networks. In some embodiments, the network interface 910 may be integrated with other components of the electronic device 900. For example, the network interface 910 may be integrated with at least one of the processors 902, the system memory 904, the NVM906, and a firmware device (not shown) having instructions that, when executed by at least one of the processors 902, the electronic device 900 implements one or more of the various embodiments illustrated in fig. 3-7.

The network interface 910 may further include any suitable hardware and/or firmware to provide a multiple-input multiple-output radio interface. For example, network interface 910 may be a network adapter, a wireless network adapter, a telephone modem, and/or a wireless modem.

In one embodiment, at least one of the processors 902 may be packaged together with one or more controllers for a system motherboard 908 to form a System In Package (SiP). In one embodiment, at least one of the processors 902 may be integrated on the same die with one or more controllers for a system motherboard 908 to form a system on a chip (SoC).

The electronic device 900 may further include: an input/output (I/O) device 912 is coupled to the system motherboard 908. I/O device 912 may include a user interface to enable a user to interact with electronic device 900; the design of the peripheral component interface enables peripheral components to also interact with the electronic device 900. In some embodiments, the electronic device 900 further includes sensors for determining at least one of environmental conditions and location information associated with the electronic device 900.

In some embodiments, I/O devices 912 may include, but are not limited to, a display (e.g., a liquid crystal display, a touch screen display, etc.), a speaker, a microphone, one or more cameras (e.g., still image cameras and/or video cameras), a flashlight (e.g., a light emitting diode flash), and a keyboard.

In some embodiments, the peripheral component interfaces may include, but are not limited to, a non-volatile memory port, an audio jack, and a power interface.

In some embodiments, the sensors may include, but are not limited to, a gyroscope sensor, an accelerometer, a proximity sensor, an ambient light sensor, and a positioning unit. The positioning unit may also be part of the network interface 910 or interact with the network interface 910 to communicate with components of a positioning network, such as Global Positioning System (GPS) satellites.

It is to be understood that the illustrated architecture of the present invention is not to be construed as a specific limitation for the electronic device 900. In other embodiments of the present application, electronic device 900 may include more or fewer components than shown, or some components may be combined, some components may be split, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

Program code may be applied to input instructions to perform the functions described in this disclosure and to generate output information. The output information may be applied to one or more output devices in a known manner. For purposes of this application, a system for processing instructions that includes the processor 902 includes any system having a processor such as a Digital Signal Processor (DSP), a microcontroller, an Application Specific Integrated Circuit (ASIC), or a microprocessor.

The program code may be implemented in a high level procedural or object oriented programming language to communicate with a processing system. Program code may also be implemented in assembly or machine language, if desired. Indeed, the mechanisms described in this disclosure are not limited in scope to any particular programming language. In any case, the language may be a compiled or interpreted language.

One or more aspects of at least one embodiment may be implemented by instructions stored on a computer-readable storage medium, which when read and executed by a processor, enable an electronic device to implement the methods of the embodiments described herein.

According to some embodiments of the present application, a computer storage medium is disclosed, having stored thereon instructions that, when executed on a computer, cause the computer to perform any one of the possible methods of the first embodiment described above.

According to some embodiments of the application, a computer program product is disclosed, comprising computer executable instructions to be executed by a processor to implement a method of processing data according to an embodiment of the invention.

The first embodiment is a method embodiment corresponding to the present embodiment, and the present embodiment can be implemented in cooperation with the first embodiment. The related technical details mentioned in the first embodiment are still valid in this embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related technical details mentioned in the present embodiment can also be applied to the first embodiment.

It is to be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application. In addition, for convenience of description, only a part of structures or processes related to the present application, not all of them, is illustrated in the drawings. It should be noted that in the present specification, like reference numerals and letters denote like items in the drawings.

It will be understood that, although the terms "first", "second", etc. may be used herein to describe various features, these features should not be limited by these terms. These terms are used merely for distinguishing and are not intended to indicate or imply relative importance. For example, a first feature may be termed a second feature, and, similarly, a second feature may be termed a first feature, without departing from the scope of example embodiments.

In the description of the present application, it is also to be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present embodiment can be understood in specific cases by those of ordinary skill in the art.

The illustrative embodiments of the present application include, but are not limited to, methods, systems, devices, media and computer program products for processing data.

Various aspects of the illustrative embodiments will be described using terms commonly employed by those skilled in the art to convey the substance of their work to others skilled in the art. It will be apparent, however, to one skilled in the art that some alternative embodiments may be practiced using the features described in part. For purposes of explanation, specific numbers and configurations are set forth in order to provide a more thorough understanding of the illustrative embodiments. It will be apparent, however, to one skilled in the art that alternative embodiments may be practiced without the specific details. In some other instances, well-known features are omitted or simplified in order not to obscure the illustrative embodiments of the present application.

Further, various operations will be described as multiple operations separate from one another in a manner that is most helpful in understanding the illustrative embodiments; however, the order of description should not be construed as to imply that these operations are necessarily order dependent, and that many of the operations can be performed in parallel, concurrently, or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when the described operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, subprograms, and the like.

References in the specification to "one embodiment," "an illustrative embodiment," etc., indicate that the embodiment described may include a particular feature, structure, or characteristic, but every embodiment may or may not necessarily include the particular feature, structure, or characteristic. Moreover, such phrases are not necessarily referring to the same embodiment. Furthermore, when a particular feature is described in connection with a particular embodiment, the knowledge of one skilled in the art can affect such feature in combination with other embodiments, whether or not such embodiments are explicitly described.

The terms "comprising," "having," and "including" are synonymous, unless the context dictates otherwise. The phrase "A and/or B" means "(A), (B) or (A and B)".

As used herein, the term "module" may refer to, be part of, or include: memory (shared, dedicated, or group) for executing one or more software or firmware programs, an Application Specific Integrated Circuit (ASIC), an electronic circuit and/or processor (shared, dedicated, or group), a combinational logic circuit, and/or other suitable components that provide the described functionality.

In the drawings, some features of structures or methods may be shown in a particular arrangement and/or order. However, it should be understood that such specific arrangement and/or ordering is not required. Rather, in some embodiments, the features may be described in a manner and/or order different from that shown in the illustrative figures. Additionally, the inclusion of structural or methodical features in a particular figure does not imply that all embodiments need to include such features, and in some embodiments, may not include such features or may be combined with other features.

In some cases, the disclosed embodiments may be implemented in hardware, firmware, software, or any combination thereof. The disclosed embodiments may also be implemented in the form of instructions or programs carried or stored on one or more transitory or non-transitory machine-readable (e.g., computer-readable) storage media, which may be read and executed by one or more processors or the like. When the instructions or programs are executed by a machine, the machine may perform the various methods described previously. For example, the instructions may be distributed via a network or other computer readable medium. Thus, a machine-readable medium may include, but is not limited to, any mechanism for storing or transmitting information in a form readable by a machine (e.g., a computer), such as floppy diskettes, optical disks, compact disc read-only memories (CD-ROMs), magneto-optical disks, read-only memories (ROMs), random Access Memories (RAMs), erasable programmable read-only memories (EPROMs), electrically erasable programmable read-only memories (EEPROMs), magnetic or optical cards, or flash memory or tangible machine-readable memory for transmitting network information via electrical, optical, acoustical or other forms of signals (e.g., carrier waves, infrared signals, digital signals, etc.). Thus, a machine-readable medium includes any form of machine-readable medium suitable for storing or transmitting electronic instructions or machine (e.g., a computer) readable information.

While the embodiments of the present application have been described in detail with reference to the accompanying drawings, the application of the present application is not limited to the various applications mentioned in the embodiments of the present application, and various structures and modifications can be easily implemented with reference to the present application to achieve various advantageous effects mentioned herein. Variations that do not depart from the gist of the invention are intended to be within the scope of the invention.

Claims

1. A method for processing checked data, which is used for a client, and is characterized in that the method comprises the following steps:

sending a reporting instruction to a checking end;

2. The method of claim 1, wherein sending a submission instruction to a verification end further comprises:

and sending the submission instruction to the checking end according to the template, the submission date and the submission flow of the checked data.

3. A method for processing data for distributed storage, the method comprising:

receiving checked data from a client;

distributing identification information for the checked data based on a predetermined rule;

sending the identification information to the client;

receiving a checking rule from the checking end;

checking the checked data based on the checking rule; and are

And returning a checking result to the checking end.

4. A data processing method is used for a check end, and is characterized by comprising the following steps:

receiving a reporting instruction from the client;

sending the URL of the distributed storage closest to the client;

5. The method of claim 4, further comprising:

6. The method according to any one of claims 3 to 5,

7. A data processing method, used in a checked data processing system including a client, a distributed storage and a checking end, the method comprising:

the client sends a reporting instruction to the checking terminal;

the check end sends the URL information of the distributed storage closest to the client;

the client sends the checked data to the distributed storage based on the URL information;

the client sends the identification information and a checking instruction for checking the checked data to the checking end;

and the checking end sends the checking result to the client.

8. The method of claim 7, wherein the sending, by the client, a submission instruction to the checking end further comprises:

9. The method of claim 7, further comprising:

10. The method of claim 9,

11. A data processing system is characterized by comprising a client module, a distributed storage module and a check end module; wherein

The client module sends a reporting instruction to the checking end module;

the checking end module sends the URL information of the distributed storage module closest to the client end module;

the client module sends checked data to the distributed storage module based on the URL information;

and the checking end module sends the checking result to the client end module.

12. An apparatus, characterized in that the apparatus comprises a memory storing computer executable instructions and a processor, which instructions, when executed by the processor, cause the apparatus to carry out a method of processing data according to any one of claims 1-10.

13. A computer storage medium having stored thereon instructions which, when run on a computer, cause the computer to execute a method of processing data according to any one of claims 1-10.

14. A computer program product comprising computer executable instructions for execution by a processor to perform a method of processing data according to any one of claims 1 to 10.