CN112308513A - Automatic account checking system and method based on big data - Google Patents
Automatic account checking system and method based on big data Download PDFInfo
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- CN112308513A CN112308513A CN202011185200.0A CN202011185200A CN112308513A CN 112308513 A CN112308513 A CN 112308513A CN 202011185200 A CN202011185200 A CN 202011185200A CN 112308513 A CN112308513 A CN 112308513A
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- 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
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Abstract
The invention provides a big data based automatic reconciliation system and a big data based automatic reconciliation method.A real-time synchronization unit is used for receiving database change information, filtering useless fields by adopting different processing modes according to table names and storing the useless fields in an es search engine; the account checking processing unit is used for pulling relevant data of each service from the es search engine, checking accounts and storing account checking results to the es search engine; the form supplementing processing unit is used for pulling the serial number and the failure information of the reconciliation failure order from the es search engine, finding a corresponding service system according to the failure information and initiating form supplementing operation; and the statement of account processing unit is used for pulling statement of account information from the es search engine, classifying according to business and merchants and generating merchant statements.
Description
Technical Field
The invention relates to the field of transaction and financial data processing, in particular to an automatic account checking system and method based on big data.
Background
After the order payment of the current network transaction system is successful, the service systems such as cost charging, merchant charging and the like inform that the following problems exist:
first, missed notification or notification failure occurs frequently. Secondly, the missing notification condition cannot be known in advance. The post-channel reconciliation prompt processing is generally completed by the settlement personnel. On one hand, the problem is that the work flow is increased, and the manual processing cost is increased; in addition, the channel account checking timeliness and accuracy are directly influenced, and the working efficiency is reduced. Thirdly, when the amount of the reconciliation flow list is large enough, the reconciliation information is slow and the efficiency is extremely low due to massive data. Fourthly, the information security is very important for the financial system, and the information security is necessary to be ensured in the information processing process.
The technical scheme of the invention at least solves one or more problems, creates an accurate data basis for account checking of merchants, reduces labor cost, improves working efficiency, enhances information safety and makes innovative contributions for ensuring the integrity and consistency of transaction data and business processing data, and the technical means related to the four problems are the main innovation points of the invention. The ES search engine is originally introduced into the account checking system, so that the account checking efficiency is greatly improved; all modules work in a unified and coordinated mode, and cannot be cracked due to the fact that one module is out of order; the step of hash processing related to the transaction serial number improves the safety of the account checking system and saves the storage space.
In one embodiment, a block chain technology is further introduced, so that the consistency of the Merkle state tree and the corresponding state of the account can be ensured in real time, and the storage space can be saved.
Disclosure of Invention
The invention provides an automatic account checking system and method based on big data and a transaction system, which can automatically make a statement for a system with missing data and improve timeliness and accuracy.
Due to the fact that the es search engine is originally introduced into the account checking system, account checking efficiency is greatly improved, and for operators, the account checking condition of each order in the es search engine can be quickly acquired in an operation background, so that operation and maintenance are facilitated.
An automatic reconciliation system based on big data, comprising: the real-time synchronization unit is used for receiving the database change message, filtering useless fields by adopting different processing modes according to the table name and storing the useless fields in the es search engine; the account checking processing unit is used for pulling the relevant data of each service from the es search engine, checking accounts and storing account checking results to the es search engine; the form supplementing processing unit is used for pulling the serial number and the failure information of the reconciliation failure order from the es search engine, finding a corresponding service system according to the failure information and initiating form supplementing operation; and the statement of account processing unit is used for pulling statement of account information from the es search engine, classifying according to business and merchants and generating merchant statements.
The invention also provides an automatic account checking method based on the big data, which comprises the following steps: 1) receiving database change information, adopting different processing modes according to table names, filtering useless fields, and storing the useless fields in an es search engine; 2) pulling relevant data of each service from the es search engine, checking accounts, and storing account checking results to the es search engine; 3) pulling the serial number and the failure information of the reconciliation failure order from the es search engine, finding a corresponding service system according to the failure information, and initiating an order supplementing operation; 4) and (4) pulling account checking information from the es search engine, and classifying according to the business and the merchants to generate merchant statements.
The automatic reconciliation system still further comprises:
real-time synchronization process: monitoring a binlog log of the database 4 through the data synchronization platform 1, and when the log changes, sending the change message to the message queue 2 by the data synchronization platform 1; the message queue 2 informs the real-time synchronization unit 3 of message consumption; the real-time synchronization unit 3 integrates the same type of order according to the database table name in the change message, for example, payment orders such as WeChat, Paibao, Internet banking and shortcut can be integrated into a collection order. And finally saved in the es search engine 6.
The automatic reconciliation system still further comprises:
automatic account checking flow: the reconciliation processing unit 9 regularly pulls the order and each system data (merchant charging, cost charging, account details, etc.) of the es search engine 6, matches according to the unique business serial number of the whole platform, if the serial number has data in all systems, it is indicated that the reconciliation of the order is successful, otherwise, the reconciliation failure and which business is failed are recorded, and the reconciliation result information is stored in the es search engine 6.
The automatic reconciliation system still further comprises:
and (3) a flow of compensation: and the order supplementing processing unit 5 regularly pulls the order information of account checking failure of the es search engine 6, and performs order supplementing on the business system according to the business with failure record. And after the order is successfully supplemented, the data can be updated in the database 4, and the updating operation can trigger the real-time synchronization process, so that the automatic account checking process is performed again.
The automatic reconciliation system still further comprises:
a statement generation process: the statement processing unit 7 regularly draws the order and each system data of the es search engine 6, and carries out statistics according to the service type and the merchant dimension to generate a statement 8 for payment collection, payment and refund of the merchant.
The automatic reconciliation system still further comprises:
in this embodiment, the obtained transaction serial number is subjected to Hash and partition and then is put into a corresponding distributed real-time reconciliation system node. And converting the transaction flow number into output with fixed length through a hash algorithm, processing the obtained integer numerical value based on the known total node number of the distributed real-time reconciliation system, and distributing the transaction flow number to a corresponding node according to the processed result, wherein the node is the node for executing the real-time reconciliation operation. Specifically, the transaction serial number character string is firstly converted into a binary sequence only containing 0 and 1 through a mapping function, and the length L is obtainedSThe string of (Sbit); calculating the number of bit 0 in the character string Sbit
(ii) a Obtaining a bit sequence after position conversion by using a position conversion function pi (h) for the character string Sbit; wherein:
(ii) a Where h represents the original string length bit position and Hash () represents a Hash function.
The automatic reconciliation system still further comprises:
and after the account checking node is determined, controlling a transaction recorder corresponding to the account checking node, and recording transaction record data of a transaction initiator and a transaction receiver to a local database.
Drawings
FIG. 1 is an overall architecture diagram of an automated reconciliation system according to the invention
Detailed Description
The technical solutions in the embodiments of the present invention will be described in detail below with reference to the accompanying drawings in the embodiments of the present invention.
An automatic reconciliation system based on big data, comprising: the real-time synchronization unit is used for receiving the database change message, filtering useless fields by adopting different processing modes according to the table name and storing the useless fields in the es search engine; the account checking processing unit is used for pulling the relevant data of each service from the es search engine, checking accounts and storing account checking results to the es search engine; the form supplementing processing unit is used for pulling the serial number and the failure information of the reconciliation failure order from the es search engine, finding a corresponding service system according to the failure information and initiating form supplementing operation; and the statement of account processing unit is used for pulling statement of account information from the es search engine, classifying according to business and merchants and generating merchant statements.
See figure 1 for an overall architecture diagram of the automated reconciliation system. The architecture diagram mainly comprises 4 processes: the method comprises a real-time synchronization flow, an automatic reconciliation flow, a compensation flow and a statement generation flow.
As an example of the present application: the automatic reconciliation system still further comprises:
real-time synchronization process: monitoring a binlog log of the database 4 through the data synchronization platform 1, and when the log changes, sending the change message to the message queue 2 by the data synchronization platform 1; the message queue 2 informs the real-time synchronization unit 3 of message consumption; the real-time synchronization unit 3 integrates the same type of order according to the database table name in the change message, for example, payment orders such as WeChat, Paibao, Internet banking and shortcut can be integrated into a collection order. And finally saved in the es search engine 6.
As an example of the present application: the automatic reconciliation system still further comprises:
automatic account checking flow: the reconciliation processing unit 9 regularly pulls the order and each system data (merchant charging, cost charging, account details, etc.) of the es search engine 6, matches according to the unique business serial number of the whole platform, if the serial number has data in all systems, it is indicated that the reconciliation of the order is successful, otherwise, the reconciliation failure and which business is failed are recorded, and the reconciliation result information is stored in the es search engine 6.
As an example of the present application: the automatic reconciliation system still further comprises:
and (3) a flow of compensation: and the order supplementing processing unit 5 regularly pulls the order information of account checking failure of the es search engine 6, and performs order supplementing on the business system according to the business with failure record. And after the order is successfully supplemented, the data can be updated in the database 4, and the updating operation can trigger the real-time synchronization process, so that the automatic account checking process is performed again.
As an example of the present application: the automatic reconciliation system still further comprises:
a statement generation process: the statement processing unit 7 regularly draws the order and each system data of the es search engine 6, and carries out statistics according to the service type and the merchant dimension to generate a statement 8 for payment collection, payment and refund of the merchant.
As an example of the present application: the automatic reconciliation system still further comprises:
and performing Hash and partition on the acquired transaction serial number, and then throwing the transaction serial number to a corresponding distributed real-time reconciliation system node. And converting the transaction flow number into output with fixed length through a hash algorithm, processing the obtained integer numerical value based on the known total node number of the distributed real-time reconciliation system, and distributing the transaction flow number to a corresponding node according to the processed result, wherein the node is the node for executing the real-time reconciliation operation. Specifically, the transaction serial number character string is firstly converted into a binary sequence only containing 0 and 1 through a mapping function, and the length L is obtainedSThe string of (Sbit); calculating the number of bit 0 in the character string Sbit
(ii) a Obtaining a bit sequence after position conversion by using a position conversion function pi (h) for the character string Sbit; wherein:
(ii) a Where h represents the original string length bit position and Hash () represents a Hash function.
As an example of the present application: the automatic reconciliation system still further comprises:
and after the account checking node is determined, controlling a transaction recorder corresponding to the account checking node, and recording transaction record data of a transaction initiator and a transaction receiver into a local database or a block chain.
Optionally, the node on the MPT state tree is stored in the block chain, where when the node on the MPT state tree is stored in the database, a key in a key value pair of the node on the MPT state tree is a hash value of data content included in the node; value in the key Value pair of the node on the MPT state tree is the data content contained in the node.
That is, when a node in the MPT state tree is stored in the database, a hash Value of data content contained in the node may be calculated (that is, the whole node is subjected to hash calculation), the calculated hash Value is used as a Key, the data content contained in the node is used as a Value, and a Key-Value Key Value pair is generated; and then storing the generated Key-Value Key Value pair into a database.
Because the node in the MPT state tree takes the hash value of the data content contained in the node as Key and the data content contained in the node as value for storage; therefore, when a node on the MPT state tree needs to be queried, content addressing can be performed as a key based on the hash value of the data content contained in the node. By adopting the content addressing, for some nodes with repeated content, the node can be generally multiplexed to save the storage space of data storage.
For example, when a "transfer transaction" is completed in a block, the balance of the transferring party account and the transferring party account associated with the "transfer transaction" will generally change accordingly. After the transaction in the latest block generated by the blockchain is completed, the node device needs to construct an MPT tree according to the current account status data of all accounts in the blockchain because the account status in the current blockchain changes, so as to maintain the latest status of all accounts in the blockchain. When a latest block is generated in the block chain and the account status in the block chain changes after the transaction in the latest block is completed, the node device needs to reconstruct an MPT tree based on the latest account status data of all accounts in the block chain. Each block in the block chain has a corresponding MPT state tree; the MPT status tree maintains the latest account status of all accounts in the blockchain after the transaction in the block is completed. After the transaction in the latest block is completed, the account status of only part of the accounts may be changed; therefore, when updating the MPT state tree, it is not necessary to reconstruct a complete MPT state tree based on the current state data of all accounts in the block chain, but only to update the node corresponding to the account whose partial account state changes on the basis of the MPT state tree corresponding to the block before the latest block. For the nodes corresponding to the accounts whose account statuses in the MPT status tree have not changed, since the nodes are updated, the nodes corresponding to the blocks before the latest block can be directly multiplexed.
Embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the method shown in fig. 1.
The embodiment of the invention also provides a computer program product containing the instruction. Which when run on a computer causes the computer to perform the method of fig. 1 described above.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The foregoing describes the general principles of the present disclosure in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present disclosure are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present disclosure. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the disclosure is not intended to be limited to the specific details so described.
The block diagrams of devices, apparatuses, systems referred to in this disclosure are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
Claims (10)
1. An automatic reconciliation system based on big data, comprising:
the real-time synchronization unit is used for receiving the database change message, filtering useless fields by adopting different processing modes according to the table name and storing the useless fields in the es search engine;
the account checking processing unit is used for pulling the relevant data of each service from the es search engine, checking accounts and storing account checking results to the es search engine;
the form supplementing processing unit is used for pulling the serial number and the failure information of the reconciliation failure order from the es search engine, finding a corresponding service system according to the failure information and initiating form supplementing operation;
and the statement of account processing unit is used for pulling statement of account information from the es search engine, classifying according to business and merchants and generating merchant statements.
2. The big data automatic reconciliation system of claim 1, the reconciliation process of the automatic reconciliation system comprising: monitoring a binlog log of a database through a data synchronization platform, and when the log changes, sending the change message to a message queue by the data synchronization platform; the message queue informs the real-time synchronization unit to consume the messages; and the real-time synchronization unit integrates orders of the same type according to the database table name in the change message and finally stores the orders in the es search engine.
3. The big data automatic reconciliation system of claim 1, the reconciliation process of the automatic reconciliation system comprising: the reconciliation processing unit regularly pulls the order of the es search engine and data (such as merchant charging, cost charging, account details and the like) of each system, matches according to the unique business serial number of the whole platform, if the serial number has data in all the systems, the reconciliation success of the order is recorded, otherwise, the reconciliation failure and which business fails are recorded, and the reconciliation result information is stored in the es search engine.
4. The big data automatic reconciliation system of claim 1, the reconciliation process of the automatic reconciliation system comprising: the order supplementing processing unit regularly pulls order information of account checking failure of the es search engine, the order supplementing is carried out on the business system according to business with failure recording, data can be updated in the database after the order supplementing is successful, and a real-time synchronization flow can be triggered by the updating operation, so that the automatic account checking flow is carried out again.
5. The big data automatic reconciliation system of claim 1, the reconciliation process of the automatic reconciliation system comprising: the statement processing unit regularly pulls the order of the es search engine and the data of each system, and carries out statistics according to the service type and the merchant dimension to generate statement of payment collection, payment and refund of the merchant.
6. The big data automatic reconciliation system of claim 1, the reconciliation process of the automatic reconciliation system comprising: and carrying out Hash and partition on the obtained transaction serial number, then throwing the transaction serial number to a corresponding distributed real-time account checking system node, converting the transaction serial number into output with a fixed length through a Hash algorithm, processing the obtained integer numerical value based on the known total node number of the distributed real-time account checking system, and distributing the transaction serial number to the corresponding node according to the processed result, wherein the node is the node for executing real-time account checking operation.
7. The big data automatic reconciliation system of claim 6, further comprising: converting the transaction serial number character string into a binary sequence only containing 0 and 1 through a mapping function to obtain a length LSThe character string S of (2); calculating the number of bits 0 in the string S
Obtaining a transformed bit sequence by using a transformation function pi (h) for the character string S; wherein:
where h represents the original string length bit position and Hash () representsA hash function; after the account checking node is determined, controlling a transaction recorder corresponding to the account checking node, and recording transaction record data of a transaction initiator and a transaction receiver into a local database or a block chain; when the data content is stored in the block chain, calculating a hash Value of the data content contained in the node, taking the calculated hash Value as a Key, taking the data content contained in the node as a Value, and generating a Key-Value Key Value pair; and then, storing the generated Key-Value Key Value.
8. An automatic account checking method based on big data, which is realized based on the system of any one of claims 1 to 7 and is applied to WeChat, Payment treasure, Internet banking, shortcut and other payment orders.
9. A computer-readable storage medium having stored thereon executable instructions for implementing the method of claim 8.
10. A computing device, the device comprising a memory, a processor to execute instructions on the memory to implement the method of claim 8.
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