CN105488186A - Decentralized distributed credit investigation inquiry release method - Google Patents
Decentralized distributed credit investigation inquiry release method Download PDFInfo
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- CN105488186A CN105488186A CN201510867466.6A CN201510867466A CN105488186A CN 105488186 A CN105488186 A CN 105488186A CN 201510867466 A CN201510867466 A CN 201510867466A CN 105488186 A CN105488186 A CN 105488186A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2471—Distributed queries
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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
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/03—Credit; Loans; Processing thereof
Abstract
The invention relates to the technical field of computer data processing, in particular to a decentralized distributed credit investigation release method for inquiring personal and unit credit information. According to the method, a credit investigation request input by a user is distributed by using a cluster concurrent mechanism; the request is subdivided into credit investigation requests for a plurality of platforms; the concurrent mechanism distributes the requests for a plurality of P2P (peer-to-peer) network loan platforms to corresponding platform subsystems to request inquiry by interfaces; the platform subsystems return inquiry results after inquiring respective databases; an inquiry processor collects the inquiry results of all the platform subsystems, merges the inquiry results, and displays a merged inquiry result for a user; and the inquiry results and the merged result are not subjected to persistence processing and storage so as to meet real-time performance of a credit investigation result returned by the inquiry requests every time. According to the method disclosed by the invention, safety and stability of an integral system are improved, flexibility is high, and an access speed is high.
Description
[technical field]
The present invention relates to microcomputer data processing field, the querying individual of the distributed credit of a kind of decentralization specifically and the dissemination method of unit credit information.
[background technology]
The credit system of China is still immature, and the credit investigation system of especially personalized lending is just at the early-stage, and a large amount of personalized lending information needs to share inquiry by a mechanism realization efficiently.Personalized lending credit investigation system is in the market generally with central server mode operation, and all collage-credit data all need typing central server, and also all by central server during inquiry, this kind of pattern exists following drawback:
One, this pattern collage-credit data of needing collage-credit data to carry out source mechanism to provide whole on request, cooperative institution's psychology threshold is higher, larger difference is there is between the collage-credit data scale of construction especially for different institutions, the mechanism having more collage-credit data is more prone to not open to the outside world oneself collage-credit data, and some reference company wants to buy these data, but expense is very high, be difficult to formation one the fully marketization, open, efficient, comprehensive personalized lending credit investigation system thus.
Two, simultaneously, data query pressure, the information security pressure of original credit investigation system central server are all very large, need to drop into great cost and safeguard central server, to guarantee its efficient, stable, safe operation.
Personalized lending mechanism wishes that respective data can produce value, wish the information disclosure of the borrower those exceeded the time limit out especially simultaneously, other lenders are allowed to inquire their record of bad behavior, the borrower broken one's word can not be borrowed money smoothly anywhere, checking for breaking one's word.But based on above-mentioned factor, current collage-credit data paces fully under way are very slow.
At present, domestic all fields such as large data analysis, cloud computing, reference are substantially all to store data in the mode of central database, cloud computing is the one of distributed computing technology, its ultimate principle is, by network, huge computing program is split into numerous less subroutine automatically, then result is returned to user by the bulky systems transferring to multi-section server to form after search, computational analysis.Internet Service Provider can within the several seconds, reach process number in necessarily even hundred million information.The shortcoming done like this is mass data centralized management, the puzzlement caused to reference company, data management company have following some:
Obtain the mode of a large amount of data: traditional way is when needing data, can go each data providing that data acquisition is come, then central database is imported to. can not ensure that data are real-time like this, centre must have a time delay, and data obtaining time is longer.
The security of managing mass data: data centralizations a large amount of is in the past at a data-base cluster, after database is attacked by others, because data are collected in a central database in advance, the data of whole cluster all may externally flow out, when assault time, after directly having entered into central database, a large amount of industry related data has once all been revealed, make hacker related personnel obtain data and become relatively quick, the security of data can not get ensureing.
[summary of the invention]
Native system adopts cloud computing technology, realizes distributed personalized lending information sharing and inquiry, meet the demand of personalized lending mechanism, turn avoid the distributed credit inquiry dissemination method of the decentralization of the problem that traditional credit investigation system is brought.
To achieve these goals, design a kind of distributed credit inquiry dissemination method of decentralization, reference request user inputted uses cluster concurrent mechanism to distribute, the reference request be subdivided into some platforms will be asked, the request of borrowing platform to some P2P nets is distributed to corresponding platform subsystem requesting query by interface by concurrent mechanism, Query Result returns by platform subsystem after the database of inquiry oneself, query processor collects the Query Result of all platform subsystems, carry out Query Result merging, and the Query Result after merging is showed user, Query Result and the result after merging do not carry out persistence and storage, carry out satisfied each inquiry request return the real-time of reference result.
Described method concrete steps are as follows: when user enters query interface time, input I.D. and name, click inquiry, server can be broadcast to all distributed query engines order and process, each platform request task is by a zookeeper monitoring nodes, distributed query engine sends communication request to corresponding back end and obtains data, when zookeeper monitors result 1 and result 2 completes or time-out can initiate merging task, the result of amalgamation result 1 and result 2, and monitor this merging task, TIMEOUT 3 times, if also failure, automatically this request is abandoned, alarm is carried out to this interface, when zookeeper monitor merge complete, then initiate the merging task of last layer, until whole broadcasting tasks has merged.
Described method is by external door, zookeeper cluster, distributed query engine and platform interface four Implement of Function Modules, user logs in from external door, and initiate requesting query task, door can be broadcast to each distributed query engine to request, each task in distributed query engine is managed by zookeeper cluster, each engine can do the control of load balancing to platform interface request, platform interface receives request, after completing corresponding safety verification, each platform is gone to fetch data, after getting data, data are returned by the secret key encryption of specifying, after distributed query engine is received and is returned, these data are completed to the checking of signature, and all rreturn values of this task are carried out to the merging of result set, after the result set of this task has merged, zookeeper cluster can monitor the change of task status.
In described method, all reference information is all stored in the database of each P2P net loan platform self of access intrinsic letter information system, when user inquires about reference information, native system and the P2P platform subsystem of all accesses carry out communicating to obtain reference information, and carry out result merging with the complete result providing one query.
Described method is realized by reference infosystem, reference infosystem uses distributed computer network and infosystem to reach total system target, completing an inquiry request needs multiple computer system to cooperate, when an inquiry is split as multiple subquery, each subquery completes being distributed in the multiple computer systems in internet.
Described method is specific as follows: when user submits reference information inquiring request to, this inquiry can be assigned with a unique ID for identifying the uniqueness of this inquiry, the information inquiry of user's reference is split as the subquery request to several target P 2P platform Query Subsystems by the inquiry distributor in querying server, each subquery can be assigned with a unique ID equally for identifying the uniqueness of this subquery, and these subquery requests is sent to the Query Subsystem of corresponding P2P platform to inquire about.
Described method is specific as follows: after inquiring result in the database of the Query Subsystem being respectively queried P2P platform at self, Query Result is returned to query scheduling device, return results meeting and comprise subquery ID corresponding to this result, query scheduling device can find inquiry ID according to subquery ID, and is merged in the Query Result corresponding to this inquiry ID by all subquery results to inquiring about ID.
Described method is specific as follows: use queue to rank the inquiry request of all users, some subqueries after each inquiry splits also use queue to rank, querying server adopts thread pool and Actor models of concurrency concurrent mechanism method, and concurrent taking-up inquiry and subquery from queue carry out the high efficiency processing to ensure to inquire about.
Described method is specific as follows:
A. synchronously Query Result mode is shown, user is after the request of query interface submit Query, wait for always and know that Query Result returns and shows on interface, if user exits or close after interface enters system next time during the course, the inquiry request of last time will no longer exist;
B. asynchronous displaying Query Result mode user is after the request of query interface submit Query, the treatment state of system prompts user inquiry is just in query processing, when Query Result returns, system prompt query State is that inquiry completes, and Query Result is shown to user, in query script, user can exit or shutdown system interface, again enters state and the result of the inquiry request before still can viewing.
Compared with prior art, the present invention has the following advantages:
1. obtained by the connection of setting up with each platform when obtaining data, there is no central database, when the data of other platforms carry out changing time, current latest data can be got by the inquiry of interface;
2. secure context, because the data of native system are at each node, each node is different platform, immediately the data that assault also all can not get all platforms are quickly subject to, and have employed SSL two-way authentication, data signature encryption technology, so very large raising be there has also been to the security of whole system, even if hacker takes data, also deciphering is needed just can to see, effectively prevent a large amount of outflows of data, the maximum data security that ensure that platform, whole system security, stability improve;
3. it is adopt parallel computation that final data merge, and the thinking of trading space for time ensures that the merging of end product can complete fast to greatest extent, and dirigibility is high, and access speed is fast.
[accompanying drawing explanation]
Fig. 1 is that distributed communication of the present invention connects process flow diagram;
Fig. 2 is distributed communication connected system Organization Chart of the present invention.
Specify Fig. 1 as Figure of abstract of the present invention.
[embodiment]
Below in conjunction with accompanying drawing, the invention will be further described, and the structure of this device and principle are very clearly concerning the people of this specialty.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
As shown in accompanying drawing 1 and Fig. 2, the reference request that user inputs by native system uses cluster concurrent mechanism to distribute, the reference inquiry request be subdivided into some platforms will be asked, the request of borrowing platform to some P2P nets is distributed to corresponding platform subsystem requesting query by interface by concurrent mechanism, Query Result returns by platform subsystem after the database of inquiry oneself, query processor collects the Query Result of all platform subsystems, carry out Query Result merging, and the Query Result after merging is showed user.Query Result and the result after merging do not carry out persistence and storage, carry out satisfied each inquiry request return the real-time of reference result.The concurrent real-time reference infosystem of this method decentralization, improves the real-time of reference information on the one hand, improves Consumer's Experience; Also effectively prevent the centralized stores of sensitive information on the other hand, and by illegal malice abuse, reach the object provided as required.
Intrinsic letter information system is without reference information center database device, each P2P net that all reference information is all stored in access intrinsic letter information system is borrowed in the database of platform self, also the reference information of all platforms is stored without any a company or mechanism, when user inquires about reference information, native system and the P2P platform subsystem of all accesses carry out communicating to obtain reference information, and carry out result merging with the complete result providing one query.Intrinsic letter information system uses distributed computer network and infosystem to reach total system target, completing an inquiry request needs multiple computer system to cooperate, when an inquiry is split as multiple subquery, each subquery completes being distributed in the multiple computer systems in internet, instead of complete in a concentrated computer system.
When user enters query interface time, input I.D. and name, click inquiry, server can be broadcast to all distributed query engines order and process, each platform request task is by a zookeeper monitoring nodes, distributed query engine sends communication request to corresponding back end and obtains data, when zookeeper monitors result 1 and result 2 completes or time-out can initiate merging task, the result of amalgamation result 1 and result 2, and monitor this merging task, TIMEOUT 3 times, if also failure, automatically this request is abandoned, alarm is carried out to this interface, when zookeeper monitor merge complete, then initiate the merging task of last layer, until whole broadcasting tasks has merged.
Native system is by external door, zookeeper cluster, distributed query engine and platform interface four Implement of Function Modules, user logs in from external door, and initiate requesting query task, door can be broadcast to each distributed query engine to request, each task in distributed query engine is managed by zookeeper cluster, each engine can do the control of load balancing to platform interface request, platform interface receives request, after completing corresponding safety verification, each platform is gone to fetch data, after getting data, data are returned by the secret key encryption of specifying, after distributed query engine is received and is returned, these data are completed to the checking of signature, and all rreturn values of this task are carried out to the merging of result set, after the result set of this task has merged, zookeeper cluster can monitor the change of task status.
Stability: intrinsic letter information system adopts Distributed Design, user is from gateway server system, and gateway server is by user's request forward to rear end querying server, and inquiry request is distributed to some P2P platform inquiry systems and obtains Query Result by querying server.Whole system is at least equipped with a gateway, querying server, a platform Query Subsystem, HighAvailable high availability scheme is adopted at subscription access server, the heartbeat detection of the product cooperation service application timing that the similar zookeeper of telegon is such, perception engine can delay after machine and can feed back to service application at once, avoid occurring invalid request call, gateway, querying server all support linear expansion, support dynamic load leveling configures, without single point failure problem, support round-the-clockly to provide 7*24 hour persistent service.
Security, intrinsic letter information system has carried out maltilevel security design, and the concrete safety practice adopted has:
Geodata and services device safety:
1. only have gateway just to provide external service channel, all inquiry request of user is all submitted to by gateway, and gateway server itself does not provide any data server, is only to provide the access service of common user query service.
2. querying server is in and is isolated Intranet, and all querying servers are all closed all to external port and forbidding public network IP, cannot enter any querying server from outer net.
3. access server is the unique passage entering isolation Intranet, only has system manager can enter by the access server of special system maintenance the maintenance that segregate Intranet carries out querying server.
4. publisher server upgrades the unique passage of version, to upgrading and the config update of credit investigation system, only have publisher server just to have permission and carry out, and publisher server also only has system manager just can must enter from access server.
Transmission security and user identity are differentiated:
1. adopt the method for short-message verification code authentication and RSAkey dynamic cipher verification to verify user identity when user and system manager's connecting system, guarantee that operation user is exactly this user.
2. data transmission uses asymmetric public and private key Encryption Model, guarantees data safety over the communication channels, even if data have been ravesdropping also can not reveal cleartext information.
The distributed reference inquiry system technical solution that to be honeybee data pin propose mutual golden industry, also may be used for allly calculating for large data, is specially:
1. user sends inquiry request to honeybee data, and request can be distributed to each distributed query engine to process, and platform request task, when task creation, has done the mean allocation of load to the interface quantity of each task process;
2. when platform request task sends request to the multiple interfaces under this task simultaneously time, this task can get respective free thread from thread pool, each interface assignment thread, docking port sends Asynchronous Request, and getting to each platform data node can for the data of inquiry;
3., when after interface to request, to the validity of request, the inspection of SSL signature authentication can be done, after being verified, carries out concrete data query operation, after finding data, transmission can be encrypted to data and return to platform request task;
4. after query engine receives and returns, data are merged, if overtime, just do 3 trials, after having merged, can the result set of this task merging be placed in distributed caching redis, change zookeeper task status, when finding that other brother tasks also complete merging, zookeeper can start another one task simultaneously, carry out secondary merging to result, recurrence to this task result is merged into a result set from level to level.
Claims (9)
1. the distributed credit inquiry dissemination method of a decentralization, it is characterized in that reference request user inputted uses cluster concurrent mechanism to distribute, the reference request be subdivided into some platforms will be asked, the request of borrowing platform to some P2P nets is distributed to corresponding platform subsystem requesting query by interface by concurrent mechanism, Query Result returns by platform subsystem after the database of inquiry oneself, query processor collects the Query Result of all platform subsystems, carry out Query Result merging, and the Query Result after merging is showed user, Query Result and the result after merging do not carry out persistence and storage, carry out satisfied each inquiry request return the real-time of reference result.
2. the distributed credit inquiry dissemination method of a kind of decentralization as claimed in claim 1, it is characterized in that described method concrete steps are as follows: when user enters query interface time, input I.D. and name, click inquiry, server can be broadcast to all distributed query engines order and process, each platform request task is by a zookeeper monitoring nodes, distributed query engine sends communication request to corresponding back end and obtains data, when zookeeper monitors result 1 and result 2 completes or time-out can initiate merging task, the result of amalgamation result 1 and result 2, and monitor this merging task, TIMEOUT 3 times, if also failure, automatically this request is abandoned, alarm is carried out to this interface, when zookeeper monitor merge complete, then initiate the merging task of last layer, until whole broadcasting tasks has merged.
3. the distributed credit inquiry dissemination method of a kind of decentralization as claimed in claim 1, it is characterized in that described method is by external door, zookeeper cluster, distributed query engine and platform interface four Implement of Function Modules, user logs in from external door, and initiate requesting query task, door can be broadcast to each distributed query engine to request, each task in distributed query engine is managed by zookeeper cluster, each engine can do the control of load balancing to platform interface request, platform interface receives request, after completing corresponding safety verification, each platform is gone to fetch data, after getting data, data are returned by the secret key encryption of specifying, after distributed query engine is received and is returned, these data are completed to the checking of signature, and all rreturn values of this task are carried out to the merging of result set, after the result set of this task has merged, zookeeper cluster can monitor the change of task status.
4. the distributed credit inquiry dissemination method of a kind of decentralization as claimed in claim 1, it is characterized in that in described method, all reference information is all stored in the database of each P2P net loan platform self of access intrinsic letter information system, when user inquires about reference information, native system and the P2P platform subsystem of all accesses carry out communicating to obtain reference information, and carry out result merging with the complete result providing one query.
5. the distributed credit inquiry dissemination method of a kind of decentralization as claimed in claim 1, it is characterized in that described method is realized by reference infosystem, reference infosystem uses distributed computer network and infosystem to reach total system target, completing an inquiry request needs multiple computer system to cooperate, when an inquiry is split as multiple subquery, each subquery completes being distributed in the multiple computer systems in internet.
6. the distributed credit inquiry dissemination method of a kind of decentralization as claimed in claim 1, it is characterized in that described method is specific as follows: when user submits reference information inquiring request to, this inquiry can be assigned with a unique ID for identifying the uniqueness of this inquiry, the information inquiry of user's reference is split as the subquery request to several target P 2P platform Query Subsystems by the inquiry distributor in querying server, each subquery can be assigned with a unique ID equally for identifying the uniqueness of this subquery, and these subquery requests sent to the Query Subsystem of corresponding P2P platform to inquire about.
7. the distributed credit inquiry dissemination method of a kind of decentralization as claimed in claim 1, it is characterized in that described method is specific as follows: after inquiring result in the database of the Query Subsystem being respectively queried P2P platform at self, Query Result is returned to query scheduling device, return results meeting and comprise subquery ID corresponding to this result, query scheduling device can find inquiry ID according to subquery ID, and is merged in the Query Result corresponding to this inquiry ID by all subquery results to inquiring about ID.
8. the distributed credit inquiry dissemination method of a kind of decentralization as claimed in claim 1, it is characterized in that described method is specific as follows: use queue to rank the inquiry request of all users, some subqueries after each inquiry splits also use queue to rank, querying server adopts thread pool and Actor models of concurrency concurrent mechanism method, and concurrent taking-up inquiry and subquery from queue carry out the high efficiency processing to ensure to inquire about.
9. the distributed credit inquiry dissemination method of a kind of decentralization as claimed in claim 1, is characterized in that described method is specific as follows:
A. synchronously Query Result mode is shown, user is after the request of query interface submit Query, wait for always and know that Query Result returns and shows on interface, if user exits or close after interface enters system next time during the course, the inquiry request of last time says no longer exist;
B. asynchronous displaying Query Result mode user is after the request of query interface submit Query, the treatment state of system prompts user inquiry is just in query processing, when Query Result returns, system prompt query State is that inquiry completes, and Query Result is shown to user, in query script, user can exit or shutdown system interface, again enters state and the result of the inquiry request before still can viewing.
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| CN106326771A (en) * | 2016-08-25 | 2017-01-11 | 联动优势科技有限公司 | Storage method and clearing system |
| CN106611372A (en) * | 2016-12-27 | 2017-05-03 | 深圳微众税银信息服务有限公司 | Credit investigation data query method and credit investigation data query system |
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| CN107038581A (en) * | 2016-12-08 | 2017-08-11 | 阿里巴巴集团控股有限公司 | The method and apparatus that e commerce transactions air control is realized based on distributed data source framework |
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| CN107943854B (en) * | 2017-11-03 | 2022-01-11 | 深圳前海微众银行股份有限公司 | Credit investigation service query method, apparatus and computer readable storage medium |
| CN108804238A (en) * | 2018-03-29 | 2018-11-13 | 中国工程物理研究院计算机应用研究所 | A kind of flexible bus communication means based on remote procedure call |
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| CN109753824A (en) * | 2018-12-14 | 2019-05-14 | 航天信息股份有限公司 | A kind of distributed electronic signature method and system |
| CN110032602A (en) * | 2019-04-17 | 2019-07-19 | 中国联合网络通信集团有限公司 | A kind of storage of product information, inquiry and management system and method |
| CN111090803A (en) * | 2019-11-22 | 2020-05-01 | 贝壳技术有限公司 | Data processing method and device, electronic equipment and storage medium |
| CN111431918A (en) * | 2020-03-31 | 2020-07-17 | 杭州溪塔科技有限公司 | Method and system for determining state label of target user based on block chain |
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