CN108156195B - Service data checking method and system - Google Patents
Service data checking method and system Download PDFInfo
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- CN108156195B CN108156195B CN201611101918.0A CN201611101918A CN108156195B CN 108156195 B CN108156195 B CN 108156195B CN 201611101918 A CN201611101918 A CN 201611101918A CN 108156195 B CN108156195 B CN 108156195B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
Abstract
The invention relates to a method and a system for checking service data, wherein the method comprises the following steps: when the service machine needs to perform data inspection, sending a data inspection request to the control server; after receiving a data check request sent by a business machine, the control server selects a data submission storage for the business machine to submit data; the business machine submits the business data to be checked to the selected data submission storage; the data inspection node reads the required data to be inspected from the data submission memory and carries out inspection processing; and after the data inspection is finished, the service machine acquires the inspected result data based on the data signature to be inspected and the service machine identification. The method and the system for checking the business data can simultaneously process a large number of business forms for different business users, thereby greatly improving the efficiency of checking the mass data, enabling the users to check the data in a simple submitting and obtaining mode, and improving the user experience.
Description
[ technical field ] A method for producing a semiconductor device
The invention belongs to the field of data processing, and particularly relates to a service data checking method and system.
[ background of the invention ]
In the internet era, users often need to process a large number of electronic business forms, but the business forms often have some obvious errors, such as: consistency issues, and only after these apparent errors are overcome, can the next processing be done on these forms, and a common data check is to determine whether the data to be checked is valid based on specific rules, such as: the customer inputs the identification card information and can judge whether the identification card information is valid or not based on the identification card numbering rule. The number of the forms is often very large, and the simple checks can be processed by a conventional form checking tool such as excel, but if the number of the data records exceeds 1000, the user can hardly process the data records manually, but actually, the number of the data records often exceeds ten thousand, and hundreds of thousands or more, which brings great challenges to the manual processing of the user. On the other hand, a user can perform data inspection by writing a program, but the development cost of the inspection program is high, each business user customizes rules for own data and asks programmers to write the program, the waste of resources is unimaginable, and the efficiency of doing so is very low.
Based on the above many problems, there is an urgent need for a new method and system for checking service data, which can process a large number of service forms for different service users at the same time, and each user can check customized data through a service machine, and after the data check is completed, the user only needs to request data from a server as needed, so that the efficiency of checking mass data is greatly improved, the user can check data through a simple submission and acquisition manner, and the user experience is improved.
[ summary of the invention ]
In order to solve the above problems in the prior art, the present invention provides a method and a system for checking service data, and the technical scheme is as follows: the method comprises the following steps:
step 1: when the service machine needs to perform data inspection, sending a data inspection request to the control server;
step 2: after receiving a data check request sent by a business machine, the control server selects a data submission storage for the business machine to submit data;
and step 3: the business machine submits the business data to be checked to the selected data submission storage;
and 4, step 4: and the data inspection node reads the required data to be inspected from the data submission storage and performs inspection processing.
And 5: and after the data inspection is finished, the service machine acquires the inspected result data based on the data signature to be inspected and the service machine identification.
Further: the data submitted by the business machine is one or more of form data, transaction data and education data.
Further: when a preset time arrives or a preset period arrives, the service machine needs to perform data check.
Further: when the financial statement in the middle of the year and at the end of the year needs to be submitted, the business machine needs to perform data check.
Further: the data submission storage is one of cloud storage, enterprise storage, distributed storage.
Further: the best performing transaction submission store is selected for the paying user.
Further: the service submitting memory is a virtual storage device which is invisible to the user, and the service machine submits data through a submitting interface.
Further: the data volume of the business machine submitted verification can not exceed the set threshold, and if the data volume exceeds the set threshold, the business machine can continue to submit the data only by paying the user.
Further: the data charging modes corresponding to the data volumes with different sizes are different.
The system comprises: a request module: when the service machine needs to perform data inspection, sending a data inspection request to the control server;
a selection module: after receiving a data check request sent by a business machine, the control server selects a data submission storage for the business machine to submit data;
a submission module: the business machine submits the business data to be checked to the selected data submission storage;
an inspection module: and the data inspection node reads the required data to be inspected from the data submission storage and performs inspection processing.
An acquisition module: and after the data inspection is finished, the service machine acquires the inspected result data based on the data signature to be inspected and the service machine identification.
The beneficial effects of the invention include: a large number of service forms can be processed for different service users simultaneously, meanwhile, each user can customize data check rules through the service machine, and after the data check is finished, the user only needs to request data from the server when needed, so that the efficiency of mass data check is greatly improved, the user can check the data through a simple submitting and obtaining mode, and the user experience is improved.
[ description of the drawings ]
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, and are not to be considered limiting of the invention, in which:
fig. 1 is a block diagram of a service data inspection system according to the present invention.
FIG. 2 is a flow chart of a method for checking service data according to the present invention
[ detailed description ] embodiments
The present invention will now be described in detail with reference to the drawings and specific embodiments, wherein the exemplary embodiments and descriptions are provided only for the purpose of illustrating the present invention and are not to be construed as limiting the present invention.
Referring to fig. 1, the present invention is a business data inspection system, which includes one or more business machines, one or more data submission storage devices, a data inspection center, a control server, and one or more result data servers;
the data inspection platform comprises a plurality of data inspection nodes, and the data inspection nodes are distributed;
the service machine can be connected with the control server in a wired or wireless mode;
referring to fig. 2, the basic steps of the service data inspection method of the present invention are shown:
step 1: when the service machine needs to perform data inspection, sending a data inspection request to the control server;
step 2: after receiving a data check request sent by a business machine, the control server selects a data submission storage for the business machine to submit data;
and step 3: the business machine submits the business data to be checked to the selected data submission storage;
and 4, step 4: and the data inspection node reads the required data to be inspected from the data submission storage and performs inspection processing.
And 5: after the data inspection is finished, the service machine acquires the inspected result data based on the data signature to be inspected and the service machine identification;
a data inspection method of the present invention will be described in detail below.
(1) When the business machine needs to perform data inspection, sending a data inspection request to the control server, wherein the data inspection request comprises the size and signature of data to be inspected and the business machine identifier;
the service machine identification can be an IP address of the service machine or an MAC address of service machine equipment; the service machine identification can be distributed by the control server, and the control server distributes a unique identification for a new service machine when the new service machine is added into the system;
(2) after receiving a data checking request sent by a service machine, if the data checking capability of a distributed data checking platform allows, a control server selects a data submission storage for submission and sends a checking approval message to the service machine, wherein the checking approval message carries a data submission storage identifier for the service machine to submit data to be checked;
after receiving the data checking request, the control server extracts the size of the data to be checked and the service machine identifier from the data, searches a data checking rule set by a user of the service machine from a local memory based on the service machine identifier, judges whether the storage capacity of the distributed data checking platform is allowed or not based on the size of the data to be checked, and judges whether the computing capacity of the distributed data checking platform is allowed or not based on the data checking rule and the size of the data to be checked; since the amount of calculation is different for different inspection rules, the inspection rules need to be considered when considering the calculation capability;
preferably: whether the storage capacity of the distributed data inspection platform is allowed or not is judged based on the size of the data to be inspected, and the method specifically comprises the following steps: judging whether a data submission memory with the residual storage space larger than the size of the data to be checked exists or not, if so, allowing the storage capacity, otherwise, not allowing the storage capacity;
preferably: judging whether the computing capacity is allowed or not based on the number of the check items involved in the check rule;
preferably: judging whether the computing power is allowed or not based on the computing complexity of the checking algorithm involved in the checking rule;
preferably: as the complexity of the inspection rules increases and the size of the data to be inspected increases, the required computational power increases;
selecting a data submission storage for submission, specifically: checking the residual space size of each data submission storage, selecting the first N data submission storages with the residual space size closest to the size of the data to be checked as data submission storages to be selected, and selecting the data submission storage with the minimum communication overhead between business machines from the N data submission storages as the selected data submission storage; wherein N may be selected empirically;
(3) after receiving the check agreement message, the service machine extracts the data submission storage identification from the message, sends the data to be checked to the corresponding data submission storage based on the identification, and sends a submission completion message to the control server after the data submission is completed;
the plurality of business machines can perform data submission in parallel, and the data submission process and the data processing can be performed in parallel, so that the execution efficiency is greatly improved, and meanwhile, the data submission and the data inspection are separated to form a data isolation area, so that the safety of data is ensured;
(4) the control server receives the submission completion message, creates a data inspection task and allocates a task number based on the data to be inspected, and allocates the data inspection task of the service machine to a data inspection node for inspection processing according to the size of the data volume to be inspected;
if the data volume to be checked is larger than the processing capacity of any data check node in the data check center, splitting the data check task based on a preset splitting strategy, forming a plurality of subtasks after splitting, allocating subtask numbers, and allocating the plurality of subtasks to one or more data check nodes for processing; specifically, the method comprises the following steps: obtaining the size C1-Cmax of the available storage space of all the data check nodes, wherein max is the total amount of the data check nodes; if the data volume to be checked of the task T is larger than the size of the available storage space of any data check node in the data check center, splitting the data to be checked into a first part and a second part, wherein the size of the first part is equal to the maximum value multiplied by P in C1-Cmax (when the size is smaller than the maximum value multiplied by P, all the data are evenly split into the first part according to the actual value), generating a subtask T1 based on the data to be checked in the first part, distributing the subtask T1 to the data check node corresponding to the maximum value, updating the size of the available storage space of the data check node to 0 in real time, and if the data volume of the split second part is not 0, continuing splitting and distributing the tasks for the second part until the number of the second part is 0; obtaining one or more subtasks after splitting;
where P is a percentage value less than or equal to 1, since the size of the inspected data may change, the change in this amount needs to be considered in advance; p may be set according to empirical values;
the splitting strategy can also be that the mean value of the available storage space sizes of all the data inspection nodes is obtained, and the data to be inspected is split into the mean value;
the data inspection task of the service machine is distributed to the data inspection nodes for inspection processing according to the size of the data volume to be inspected, and the method specifically comprises the following steps: the control server checks the size of the available storage space of each data check node, selects the first M data check nodes with the size of the available storage space closest to the size of the data to be checked as the data check nodes to be selected, and selects the data check node with the strongest computing capability from the M data check nodes as the selected data check node; wherein M may be selected empirically; preferably, a data check node with the minimum communication overhead is selected;
preferably: the control server allocates a unique task number for each data inspection task;
preferably: selecting a data check node with the computing capacity which is most matched with the data check rule set by the business machine as the selected data check node;
preferably: selecting the inspection node with the largest cache space for the business machine with high priority as the selected data inspection node; selecting the check node with the minimum cache space as the selected data check node for the business machine with low priority;
preferably, the data inspection task of the service machine is allocated to the data inspection node for inspection processing according to the size of the data volume to be inspected, and specifically includes: distributing the data inspection task to the data inspection node with the largest available storage space;
(5) the data inspection node reads the required data to be inspected from the data submission memory and carries out inspection processing; the method specifically comprises the following steps: the data check node acquires a data check rule of the task specified by the business machine from the control server, reads required data to be checked from the data submission storage, stores the data to be checked in a local storage space, and performs data check based on the check rule;
(6) after finishing the processing of the inspection task/subtask, the data inspection node sends a data storage request to one or more result data servers;
after the data inspection node finishes the inspection, one or more result data servers are selected to send data storage requests based on the result data server selection strategy; the selection policy may be: selecting one or a group of result data servers which are most frequently used, or selecting all the result data servers to send requests in a broadcasting mode, or selecting one or a group of result data servers with the minimum communication overhead to send requests;
(7) after receiving the data storage request, the result data server determines whether to send a storage granting message according to the storage capacity of the result data server, if the storage capacity is allowed, the result data server sends the storage granting request to the data checking node, and if the storage granting request is not allowed, the result data server does not respond; wherein, the storage granting request carries the identifier of the result data server;
(8) after receiving the storage granting message, the data checking node sends a response message to the result data server; selecting one result data server from the plurality of grant deposit messages if received;
selecting a result data server, specifically: selecting a result data server with the minimum communication overhead or selecting a result data server with the fastest response;
(9) after receiving the response message, the result data server sends a response completion message to the data check node; after receiving the response completion message, the data inspection node sends the processed result data and the corresponding task/subtask number to the result data server; after the storage is finished, the data inspection node sends a task completion message to the control server, wherein the message comprises a task number and a result data server identifier;
(10) after receiving the result data, the result data server stores the result data and the corresponding task/subtask number in a correlation manner;
different tasks and result data thereof may be stored in the same result data server, and the result data server manages the result data;
preferably: storing result data corresponding to the same task in a continuous storage space;
(11) after receiving the task completion message, the control server judges whether the task is split or not, if not, the control server sends a related message to a result data server, the message carries a to-be-processed data signature and a service machine identifier aiming at the task, and the step (14) of executing skipping is carried out; if the data is split, after all subtasks corresponding to a task are completed, the task control server selects a result data server for data splicing, and sends a data transfer instruction to each result data server for processing the subtasks of the task, wherein the data transfer instruction carries the selected result data server identifier for data splicing, and the step (12) is continued;
judging whether the task is split, specifically: judging whether the task is a subtask or not based on the task number, if not, not splitting, and if so, splitting; or, the judgment is made through an allocation table stored in a local memory; the control server needs to update the re-allocation table in real time when performing task allocation or task splitting;
selecting a result data server specifically comprises: selecting a result data server with the largest available storage space, selecting the result data server storing the most subtask result data from the result data servers storing all subtask result data of the task as a transfer server (at the moment, the transfer efficiency is highest when the data transfer amount is minimum), and selecting a special result data server (the special server is specially used for transferring the result data);
(12) after receiving the data transfer instruction, the result data server sends the result data corresponding to the subtask and the subtask identifier thereof to the selected result data server, and after receiving the result data, the selected result data server splices the result data according to the sequence of the subtask identifier thereof and stores the task number and the spliced result data in an associated manner; after the splicing is finished, the selected result data server sends a splicing finishing message to the control server;
(13) after receiving the splicing completion message, the control server sends an associated message to a result data server, wherein the message carries a to-be-processed data signature and a service machine identifier for the task;
(14) the result data server stores the data signature to be processed, the service machine identifier, the task identifier and the corresponding result data in an associated manner, and sends an association completion message to the control server;
the result data server manages result data, the result data server stores the result data from different check nodes, and different result data are stored in different storage spaces based on the data signature to be processed, the service machine identifier and the task identifier;
(15) the control server sends a task completion message to the service machine, wherein the message carries the identifier of the result data server;
for a user, the user does not know which result data server the required data is stored in, nor does the user know the specific storage position, and the result data server is invisible or inaccessible to the service machine, and only after the identification is obtained, one result data server can be accessed based on the identification, so that the storage space of the result data server is isolated from the service machine, and the safety of the data of the service machine is ensured through isolation;
(16) after receiving the task completion message, the service machine sends a data acquisition request to the result data server according to the identifier of the result data server, wherein the request carries the signature of the data to be checked and the identifier of the service machine;
after obtaining the identification of the result data server, the user cannot obtain all data on the server, and can only obtain the result data corresponding to the data to be checked submitted by the service machine based on the signature; the data signature is submitted by the service machine while submitting the data to be checked, and in the whole data checking process, only the control server and the service machine know that the service machine can obtain the required data based on the signature and the service machine identification at the same time, which is equivalent to double authentication;
after acquiring the task completion message, the user extracts the required identification and signature information, and can send a request when needing result data, and the result data server plays a role in data management and storage;
the result data server can delete the result data after the data validity period is reached;
(17) the result data server extracts result data based on the request and sends the result data to the service machine;
the result data server obtains result data matched with both the data signature to be checked and the service machine identification and sends the result data to the service machine, and when any information is not matched, an authentication failure message is sent to the service machine;
the service data inspection method and the service data inspection system can process a large number of service forms for different service users at the same time, each user can check the customized data through the service machine, and after the data inspection is finished, the user only needs to request the server for data as required, so that the efficiency of mass data inspection is greatly improved, the user can perform data inspection through a simple submission and acquisition mode, and the user experience is improved.
The above description is only a preferred embodiment of the present invention, and all equivalent changes or modifications of the structure, characteristics and principles described in the present invention are included in the scope of the present invention.
Claims (10)
1. A service data checking method is characterized by comprising the following steps:
step 1: when the service machine needs to perform data inspection, sending a data inspection request to the control server;
the data checking request comprises the size and signature of the data to be checked and the service machine identifier;
the service machine identification can be an IP address of the service machine or an MAC address of service machine equipment; the service machine identification can be distributed by the control server, and the control server distributes a unique identification for a new service machine when the new service machine is added into the system;
step 2: after receiving a data check request sent by a business machine, the control server selects a data submission storage for the business machine to submit data;
if the data checking capability of the distributed data checking platform allows, selecting a data submission storage for submission, and sending a checking agreement message to the service machine, wherein the checking agreement message carries a data submission storage identifier for the service machine to submit the data to be checked;
after receiving the data checking request, the control server extracts the size of the data to be checked and the service machine identifier from the data, searches a data checking rule set by a user of the service machine from a local memory based on the service machine identifier, judges whether the storage capacity of the distributed data checking platform is allowed or not based on the size of the data to be checked, and judges whether the computing capacity of the distributed data checking platform is allowed or not based on the data checking rule and the size of the data to be checked; since the amount of calculation is different for different inspection rules, the inspection rules need to be considered when considering the calculation capability;
and step 3: the business machine submits the business data to be checked to the selected data submission storage;
after receiving the check agreement message, the service machine extracts the data submission storage identification from the message, sends the data to be checked to the corresponding data submission storage based on the identification, and sends a submission completion message to the control server after the data submission is completed;
the plurality of business machines can perform data submission in parallel, and the data submission process and the data processing can be performed in parallel, so that the execution efficiency is greatly improved, and meanwhile, the data submission and the data inspection are separated to form a data isolation area, so that the safety of data is ensured;
and 4, step 4: the data inspection node reads the required data to be inspected from the data submission memory and carries out inspection processing;
the control server receives the submission completion message, creates a data inspection task and allocates a task number based on the data to be inspected, and allocates the data inspection task of the service machine to a data inspection node for inspection processing according to the size of the data volume to be inspected;
if the data volume to be checked is larger than the processing capacity of any data check node in the data check center, splitting the data check task based on a preset splitting strategy, forming a plurality of subtasks after splitting, allocating subtask numbers, and allocating the plurality of subtasks to one or more data check nodes for processing; specifically, the method comprises the following steps: obtaining the size C1-Cmax of the available storage space of all the data check nodes, wherein max is the total amount of the data check nodes; if the data volume to be checked of the task T is larger than the size of the available storage space of any data check node in the data check center, splitting the data to be checked into a first part and a second part, wherein the size of the first part is equal to the maximum value multiplied by P in C1-Cmax (when the size is smaller than the maximum value multiplied by P, all the data are evenly split into the first part according to actual values), generating a subtask T1 based on the data to be checked in the first part, distributing the subtask T1 to the data check node corresponding to the maximum value, updating the size of the available storage space of the data check node to 0 in real time, and if the data volume of the split second part is not 0, continuing splitting and task distribution aiming at the second part until the number of the second part is 0; obtaining one or more subtasks after splitting;
where P is a percentage value less than or equal to 1, since the size of the inspected data may change, the change in this amount needs to be considered in advance; p may be set according to empirical values;
the splitting strategy can also be that the mean value of the available storage space sizes of all the data inspection nodes is obtained, and the data to be inspected is split into the mean value;
the data inspection task of the service machine is distributed to the data inspection nodes for inspection processing according to the size of the data volume to be inspected, and the method specifically comprises the following steps: the control server checks the size of the available storage space of each data check node, selects the first M data check nodes with the size of the available storage space closest to the size of the data to be checked as the data check nodes to be selected, and selects the data check node with the strongest computing capability from the M data check nodes as the selected data check node; wherein M may be selected empirically;
and 5: after the data inspection is finished, the service machine acquires the inspected result data based on the data signature to be inspected and the service machine identification;
the data inspection node reads the required data to be inspected from the data submission memory and carries out inspection processing; the method specifically comprises the following steps: the data check node acquires the data check rule of the task specified by the business machine from the control server, reads the required data to be checked from the data submission storage, stores the data to be checked in the local storage space, and performs data check based on the check rule.
2. The business data inspection method of claim 1, wherein the data submitted by the business machine is one or more of form data, transaction data, and education data.
3. The service data inspection method according to claim 1, wherein: when a preset time arrives or a preset period arrives, the service machine needs to perform data check.
4. The method according to claim 1, wherein the business machine needs to perform data inspection when the annual mid-year and annual terminal financial statements need to be submitted.
5. The business data inspection method of claim 1, wherein the data submission store is one of a cloud store, an enterprise store, and a distributed store.
6. The business data inspection method of claim 1, wherein a business submission store with the best performance is selected for a paying user.
7. The method according to claim 1, wherein the service delivery memory is a virtual storage device, the virtual storage device is invisible to the user, and the service machine delivers the data through a delivery interface.
8. The business data inspection method of claim 1, wherein the amount of data that the business machine submits validation cannot exceed a set threshold, and if the set threshold is exceeded, the user is charged to be able to continue the submission.
9. The method of claim 8, wherein the data charges for the data of different sizes are different.
10. A system for the service data inspection method according to claim 1, wherein the system comprises:
a request module: when the service machine needs to perform data inspection, sending a data inspection request to the control server;
a selection module: after receiving a data check request sent by a business machine, the control server selects a data submission storage for the business machine to submit data;
a submission module: the business machine submits the business data to be checked to the selected data submission storage;
an inspection module: the data inspection node reads the required data to be inspected from the data submission memory and carries out inspection processing;
an acquisition module: and after the data inspection is finished, the service machine acquires the inspected result data based on the data signature to be inspected and the service machine identification.
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| CN104731859A (en) * | 2015-02-02 | 2015-06-24 | 厦门市美亚柏科信息股份有限公司 | Data processing method and device |
| CN105373746A (en) * | 2015-11-26 | 2016-03-02 | 深圳市金证科技股份有限公司 | Distributed data processing method and device |
| CN105515963A (en) * | 2015-12-03 | 2016-04-20 | 中国联合网络通信集团有限公司 | Data gateway device and big data system |
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