CN114579574A - Data processing method and device for financial business, electronic equipment and storage medium - Google Patents
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Abstract
The invention relates to the technical field of big data, and provides a data processing method, a device, electronic equipment and a storage medium for financial services, wherein the method comprises the following steps: acquiring real-time account information corresponding to financial services to be processed; routing out a fund transaction data table of each account from the real-time account information by adopting a preset routing decision module; identifying a fund type for each fund in the fund transaction data table for each account; dividing a fund transaction data table corresponding to at least one account according to the fund type to obtain a plurality of sub-account data tables; and executing the data processing task in the data processing request, and extracting data from the multiple sub-account data tables to obtain a data processing result. The invention can process the fund data of the same type in the same sub-account data table without processing other sub-account data tables, thereby improving the data processing efficiency.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a data processing method and device of financial business, electronic equipment and a storage medium.
Background
With the continuous expansion of financial business and the continuous increase of fund types, the prior art summarizes the daily final share data of each account in a financial account summary table by storing all fund type data into the financial account summary table.
However, in the process of summarizing the daily final share data, the daily data of each account needs to be processed to obtain the daily final share data, and the financial account summary table has a large and complex amount of data and a slow processing process, which causes a delay in the feedback of the data processing result, resulting in low data processing efficiency.
Therefore, it is necessary to provide a method for processing data rapidly and accurately.
Disclosure of Invention
In view of the above, there is a need to provide a data processing method, apparatus, electronic device and storage medium for financial services, which can process the same type of fund data in the same sub-account data table without processing other sub-account data tables, thereby improving data processing efficiency.
A first aspect of the present invention provides a data processing method for financial services, the method including:
analyzing the received data processing request, and acquiring real-time account information corresponding to the financial service to be processed, wherein the real-time account information comprises at least one account;
routing out a fund transaction data table of each account from the real-time account information by adopting a preset routing decision module;
identifying a fund type of each fund in a fund transaction data table of each account, wherein the fund transaction data table of each account comprises at least one fund;
dividing a fund transaction data table corresponding to the at least one account according to the fund type to obtain a plurality of sub-account data tables;
and executing the data processing task in the data processing request, and extracting data from the plurality of sub-account data tables to obtain a data processing result.
Optionally, the routing out the fund transaction data table of each account from the real-time account information by using a preset routing decision module includes:
acquiring a plurality of preset dimensions and fund transaction storage templates corresponding to the financial service to be processed;
identifying a routing node corresponding to each dimension of each account in the real-time account information;
based on the routing node corresponding to each dimension of each account, routing out dimension information corresponding to each dimension from the real-time account information by adopting a preset routing decision module;
and mapping the plurality of dimension information corresponding to the plurality of dimensions of each account to corresponding fund transaction storage templates to obtain a fund transaction data table of each account.
Optionally, the identifying a fund type for each fund in the fund transaction data table for each account comprises:
extracting a fund code of each fund from a fund transaction data table of each account;
determining the fund type of each fund according to the fund code of each fund.
Optionally, the dividing the fund transaction data table corresponding to the at least one account according to the fund type to obtain a plurality of sub-account data tables includes:
aiming at each fund transaction data table of each account, recording fund transaction data of funds of the same type in the same sub data table by adopting a preset grouping aggregation function according to the fund type, and binding each sub data table with a corresponding user account;
and classifying the plurality of sub-data tables bound with the user account according to the fund type to obtain a plurality of sub-account data tables, wherein each sub-account data table comprises a plurality of sub-data tables of the fund of the same type.
Optionally, the classifying the multiple sub-data sheets bound with the user account according to the fund type to obtain multiple sub-account data sheets includes:
and performing table dropping on a plurality of sub-data tables of the same type of fund according to a preset table dropping rule to obtain a corresponding sub-account data table of each fund type.
Optionally, the executing the data processing task in the data processing request, and extracting data from the multiple sub-account data tables to obtain a data processing result includes:
analyzing the data processing task to obtain a data processing condition;
converting the data processing conditions into database query statements according to preset conversion rules;
and executing the database query statement, and traversing the plurality of sub-account data tables to obtain a data processing result.
Optionally, the analyzing the received data processing request and the acquiring the real-time account information corresponding to the financial service to be processed includes:
analyzing the message of the data processing request to obtain message information carried by the message;
acquiring a block identification code of a block chain from the message information;
acquiring a preset application layer interface according to the block identification code of the block chain;
acquiring an encryption key of a financial service equipment node to be processed according to the application layer interface;
and encrypting the real-time data acquired from the financial service equipment to be processed by using the encryption key by using an encryption algorithm, and outputting the encrypted real-time data through the application layer interface to obtain the real-time account information corresponding to the financial service to be processed.
A second aspect of the present invention provides a data processing apparatus for financial transactions, the apparatus comprising:
the analysis and acquisition module is used for analyzing the received data processing request and acquiring real-time account information corresponding to the financial service to be processed, wherein the real-time account information comprises at least one account;
the routing module is used for routing out a fund transaction data table of each account from the real-time account information by adopting a preset routing decision module;
the identification module is used for identifying the fund type of each fund in the fund transaction data table of each account, wherein the fund transaction data table of each account comprises at least one fund;
the division module is used for dividing the fund transaction data table corresponding to the at least one account according to the fund type to obtain a plurality of sub-account data tables;
and the extraction module is used for executing the data processing task in the data processing request and extracting data from the plurality of sub-account data tables to obtain a data processing result.
A third aspect of the present invention provides an electronic device comprising a processor and a memory, wherein the processor is configured to implement the data processing method of the financial transaction when executing the computer program stored in the memory.
A fourth aspect of the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the data processing method of financial transactions.
In summary, according to the data processing method, the data processing device, the electronic device and the storage medium for financial services, the fund transaction data table of each account is routed from the real-time account information by using the preset routing decision module, so that the fund transaction data table of each account can be managed conveniently and uniformly in the follow-up process, and the fund transaction data management efficiency is improved. The fund type of each fund in the fund transaction data table of each account is identified, the fund transaction data table corresponding to at least one account is divided according to the fund type to obtain a plurality of sub-account data tables, the fund of the same type is determined to be one sub-account data table, and when data processing is subsequently carried out, the fund data of the same type are processed in the same sub-account data table without processing other sub-account data tables, so that the data processing efficiency is improved. And executing the data processing task in the data processing request, and directly extracting the data processing result from the plurality of sub-account data tables, so that the timeliness of acquiring the data processing result is improved.
Drawings
Fig. 1 is a flowchart of a data processing method of a financial transaction according to an embodiment of the present invention.
Fig. 2 is a block diagram of a data processing apparatus for financial services according to a second embodiment of the present invention.
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a detailed description of the present invention will be given below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present invention and features of the embodiments may be combined with each other without conflict.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
Example one
Fig. 1 is a flowchart of a data processing method of a financial transaction according to an embodiment of the present invention.
In this embodiment, the data processing method for financial services may be applied to an electronic device, and for an electronic device that needs to perform data processing for financial services, the function of data processing for financial services provided by the method of the present invention may be directly integrated on the electronic device, or may be run in the electronic device in the form of a Software Development Kit (SDK).
As shown in fig. 1, the data processing method of the financial transaction specifically includes the following steps, and the order of the steps in the flowchart may be changed and some may be omitted according to different requirements.
And S11, analyzing the received data processing request, and acquiring real-time account information corresponding to the financial service to be processed, wherein the real-time account information comprises at least one account.
In this embodiment, for the financial field, when performing data processing of a financial transaction, a data processing request is initiated to a server through a client, specifically, the client may be a smart phone, an IPAD, or other existing intelligent device, the server may be a data processing subsystem, and in a data processing process, for example, the client may send the data processing request to the data processing subsystem.
In this embodiment, when the data processing request subsystem receives a data processing request, the data processing request is analyzed, and real-time account information of the financial service to be processed is obtained, where the real-time account information includes other information related to an account, such as user information, transaction flow information, transaction time, transaction amount, fund code, fund type, and the like, and the real-time account information includes at least one account.
In an optional embodiment, the analyzing the received data processing request and the acquiring the real-time account information corresponding to the financial service to be processed includes:
analyzing the message of the data processing request to obtain message information carried by the message;
acquiring a block identification code of a block chain from the message information;
acquiring a preset application layer interface according to the block identification code of the block chain;
acquiring an encryption key of a financial service equipment node to be processed according to the application layer interface;
and encrypting the real-time data acquired from the financial service equipment to be processed by using the encryption key by using an encryption algorithm, and outputting the encrypted real-time data through the application layer interface to obtain the real-time account information corresponding to the financial service to be processed.
In this embodiment, the block identifier of the block chain is used to uniquely identify identity information of a block in the block chain, and specifically, the identity information is used to identify an application layer interface in the block.
In this embodiment, different financial services to be processed correspond to different service equipment nodes to be processed, and an application layer interface is set for each service equipment node to be processed in advance, where the application layer interface is set in a block of a block chain, an encryption key of the corresponding financial service equipment node to be processed is stored in the application layer interface, and the block chain does not depend on a third party and performs transmission of real-time account information through its own distributed node, so that leakage of the real-time account information can be prevented, and the security of the real-time account information is further improved.
In the embodiment, when the real-time account information is acquired, the real-time data acquired by the financial service equipment to be processed is encrypted, and the real-time data is output through the application layer interface preset in the block chain block to obtain the real-time account information, so that the safety of the real-time account information is improved.
And S12, routing out the fund transaction data table of each account from the real-time account information by adopting a preset routing decision module.
In this embodiment, the fund transaction data table includes account information of each account, for example, the account a includes other information related to the account, such as user information, service information, and time information.
In an optional embodiment, the routing out the fund transaction data table of each account from the real-time account information by using a preset routing decision module comprises:
acquiring a plurality of preset dimensions and fund transaction storage templates corresponding to the financial service to be processed;
identifying a routing node corresponding to each dimension of each account in the real-time account information;
based on the routing node corresponding to each dimension of each account, adopting a preset routing decision module to route dimension information corresponding to each dimension from the real-time account information;
and mapping the plurality of dimension information corresponding to the plurality of dimensions of each account to corresponding fund transaction storage templates to obtain a fund transaction data table of each account.
In the embodiment, because the data processing logics in the account information corresponding to different financial services are different, a plurality of dimensions and fund transaction data storage templates can be preset for each financial service according to historical data, so that the fund transaction data table of each account can be managed conveniently and uniformly in the follow-up process, and the fund transaction data management efficiency is improved.
Specifically, the preset multiple dimensions may include a user dimension, a fund dimension and a time dimension, where the user dimension includes user information such as a user account, basic information of the user, and an attribute of the user, and the attribute of the user refers to an account level of the user account and a risk preference for purchasing the fund, and for example, the risk preference includes a conservative type, a robust type, a balanced type, an active type and an aggressive type; the fund dimensionality comprises fund information such as fund numbers and fund types, and the time dimensionality comprises time information such as fund purchasing time and account risk evaluation time.
In this embodiment, the fund transaction data table includes account information of each account, for example: user information, type of fund purchased, time of fund purchase, amount of fund purchase, etc.
And S13, identifying the fund type of each fund in the fund transaction data table of each account, wherein the fund transaction data table of each account comprises at least one fund.
In this embodiment, each account includes at least one fund, wherein each fund corresponds to a fund type, and specifically, the fund type includes multiple modes, for example, the fund type can be divided into an open fund and a closed fund according to fund units; the method can be divided into growth type fund, income type fund and balance type fund according to different investment risks and profits; the investment targets may be classified into four categories, i.e., bond fund, stock fund, currency fund and mixed fund, which are not limited herein.
In an alternative embodiment, the identifying the type of fund for each fund in the fund transaction data table for each account comprises:
extracting a fund code of each fund from a fund transaction data table of each account;
determining the fund type of each fund according to the fund code of each fund.
In this embodiment, the fund code is used to uniquely identify the fund type.
And S14, dividing the fund transaction data sheet corresponding to the at least one account according to the fund type to obtain a plurality of sub-account data sheets.
In an optional embodiment, the dividing the fund transaction data table corresponding to the at least one account according to the fund type to obtain a plurality of sub-account data tables includes:
for each fund transaction data table of each account, recording fund transaction data of the fund of the same type in the same sub data table by adopting a preset grouping aggregation function according to the fund type, and binding each sub data table with a corresponding user account;
and classifying the plurality of sub data tables bound with the user account according to the fund type to obtain a plurality of sub account data tables, wherein each sub account data table comprises a plurality of sub data tables of the fund of the same type.
In this embodiment, a grouping aggregation function may be preset, and the grouping aggregation function may be an aggregation function (aggregation function) or a grouping SELECT.
Further, the classifying the plurality of sub-data tables bound with the user account according to the fund type to obtain a plurality of sub-account data tables comprises:
and performing table dropping on a plurality of sub-data tables of the same type of fund according to a preset table dropping rule to obtain a corresponding sub-account data table of each fund type.
Specifically, the preset table dropping rule may be that table dropping is performed according to users, for example, all funds of the same user are sequentially sorted to perform table dropping; or the list can be published according to the purchasing time sequence of a plurality of funds in the same type; the fund data table can also be sorted according to the use frequency of the funds in the same type of fund, for example, the funds in the same type of fund are sorted in a descending order according to the use frequency of each fund, and sorted into the corresponding sub-account data table according to the descending order.
In this embodiment, the grouping aggregation function may group the real-time account information corresponding to the same type of fund in each fund transaction data table of each account, and perform aggregation calculation on the real-time account information corresponding to each fund in the real-time account information corresponding to the same type of fund, so as to ensure that only one data is recorded for each fund in each fund type of each account, reduce the data volume of each sub-data table, and further reduce the data volume in each sub-account data table.
In other optional embodiments, the method further comprises:
identifying a fund code for each fund in the fund transaction data table for each account;
and dividing the fund transaction data table corresponding to the at least one account according to the fund code to obtain a sub-account data table of each fund.
In this embodiment, for a live-time service in the financial field, due to the need of a service mode, a large part of the benefits of a fund service are reflected in the asset scale of a user, in order to bring more and better asset configuration to the user, the service often needs to be docked with a plurality of funds, and simultaneously manages asset data of tens of millions of users.
In this embodiment, the fund transaction data table corresponding to the at least one account is divided, the fund of the same type is determined as one sub-account data table or each fund is independently determined as one sub-account data table, and when a data processing task is subsequently performed, data processing is not required, and a data processing result is directly extracted from the plurality of sub-account data tables, so that the problem that the prior art cannot meet the requirement on timeliness is solved, and the timeliness for acquiring the data processing result is improved.
In the embodiment, the same fund is independently determined to be a sub-account data table, when a new fund type or account information corresponding to the new fund is received, only a new sub-account data table needs to be created again, the original sub-account data table does not need to be processed, horizontal expansion of the fund account is achieved, the data volume of the existing financial account general table is reduced, the thought of processing a small amount of data for multiple times is adopted, the efficiency of integrally inserting the new fund account information is improved, and the data processing efficiency is further improved.
And S15, executing the data processing task in the data processing request, and extracting data from the plurality of sub-account data tables to obtain a data processing result.
In this embodiment, the data in the sub-account data table is result data, and when the data processing task is executed, data is extracted from the plurality of sub-account data tables according to the data processing conditions in the data processing task, so that processing is not required, and the data processing efficiency is improved.
In an optional embodiment, the executing the data processing task in the data processing request and extracting data from the multiple sub-account data tables to obtain a data processing result includes:
analyzing the data processing task to obtain a data processing condition;
converting the data processing conditions into database query statements according to preset conversion rules;
and executing the database query statement, and traversing the plurality of sub-account data tables to obtain a data processing result.
Illustratively, the data processing conditions in the processing task are: extracting a current share of the M fund of the target account, and converting the extracted current share of the M fund of the target account into a database query statement, wherein the database query statement may be an SQL query statement: and inquiring data corresponding to the fund code of the M fund, executing the SQL inquiry statement, traversing the plurality of sub-account data tables, inquiring data corresponding to the fund code of the M fund, and extracting to obtain a data processing result.
In this embodiment, since the data in each sub-account data table is the real-time account information classified based on the fund type, in the subsequent receiving of the data processing request, data extraction is performed from the multiple sub-account data tables corresponding to the target account according to the data processing conditions, so as to obtain the data processing result corresponding to the target account, the data processing result is a real-time account information accumulation result, and meanwhile, the data processing result does not need to be calculated separately, instead of generating the final share data of the user through daily transaction dynamic account record aggregation of the user in the prior art, the timeliness of the data processing result is improved.
In summary, in the data processing method for financial services according to this embodiment, the preset routing decision module is used to route the fund transaction data table of each account from the real-time account information, so that the fund transaction data table of each account is conveniently managed in a subsequent unified manner, and the management efficiency of the fund transaction data is improved. The fund type of each fund in the fund transaction data table of each account is identified, the fund transaction data table corresponding to at least one account is divided according to the fund type to obtain a plurality of sub-account data tables, the fund of the same type is determined to be one sub-account data table, and when data processing is subsequently carried out, the fund data of the same type are processed in the same sub-account data table without processing other sub-account data tables, so that the data processing efficiency is improved. And executing the data processing task in the data processing request, and directly extracting the data processing result from the plurality of sub-account data tables, so that the timeliness of acquiring the data processing result is improved.
Example two
Fig. 2 is a block diagram of a data processing apparatus for financial services according to a second embodiment of the present invention.
In some embodiments, the data processing device 20 of the financial transaction may include a plurality of functional modules comprised of program code segments. The program codes of the various program segments in the data processing device 20 of the financial transaction may be stored in a memory of the electronic equipment and executed by the at least one processor to perform the functions of data processing of the financial transaction (described in detail in fig. 1).
In this embodiment, the data processing device 20 of the financial transaction may be divided into a plurality of functional modules according to the functions performed by the data processing device. The functional module may include: a parsing and collection module 201, a routing module 202, a recognition module 203, a partitioning module 204, and an extraction module 205. The module referred to herein is a series of computer readable instruction segments stored in a memory that can be executed by at least one processor and that can perform a fixed function. In the present embodiment, the functions of the modules will be described in detail in the following embodiments.
The analyzing and collecting module 201 is configured to analyze the received data processing request and collect real-time account information corresponding to the financial service to be processed, where the real-time account information includes at least one account.
In this embodiment, for the financial field, when performing data processing of a financial transaction, a data processing request is initiated to a server through a client, specifically, the client may be a smart phone, an IPAD, or other existing intelligent device, the server may be a data processing subsystem, and in a data processing process, for example, the client may send the data processing request to the data processing subsystem.
In this embodiment, when the data processing request subsystem receives a data processing request, the data processing request is analyzed, and real-time account information of the financial service to be processed is obtained, where the real-time account information includes other information related to an account, such as user information, transaction flow information, transaction time, transaction amount, fund code, fund type, and the like, and the real-time account information includes at least one account.
In an optional embodiment, the parsing and collecting module 201 parses the received data processing request, and collecting the real-time account information corresponding to the financial service to be processed includes:
analyzing the message of the data processing request to obtain message information carried by the message;
acquiring a block identification code of a block chain from the message information;
acquiring a preset application layer interface according to the block identification code of the block chain;
acquiring an encryption key of a financial service equipment node to be processed according to the application layer interface;
and encrypting the real-time data acquired from the financial service equipment to be processed by using the encryption key by using an encryption algorithm, and outputting the encrypted real-time data through the application layer interface to obtain the real-time account information corresponding to the financial service to be processed.
In this embodiment, the block identifier of the block chain is used to uniquely identify identity information of a block in the block chain, and specifically, the identity information is used to identify an application layer interface in the block.
In this embodiment, different financial services to be processed correspond to different service equipment nodes to be processed, and an application layer interface is set for each service equipment node to be processed in advance, where the application layer interface is set in a block of a block chain, an encryption key of the corresponding financial service equipment node to be processed is stored in the application layer interface, and the block chain does not depend on a third party and performs transmission of real-time account information through its own distributed node, so that leakage of the real-time account information can be prevented, and the security of the real-time account information is further improved.
In the embodiment, when the real-time account information is acquired, the real-time data acquired by the financial service equipment to be processed is encrypted, and the real-time data is output through the application layer interface preset in the block chain block to obtain the real-time account information, so that the safety of the real-time account information is improved.
And the routing module 202 is configured to route the fund transaction data table of each account from the real-time account information by using a preset routing decision module.
In this embodiment, the fund transaction data table includes account information of each account, for example, the account a includes other information related to the account, such as user information, service information, and time information.
In an optional embodiment, the routing module 202, using a preset routing decision module, routing out the fund transaction data table of each account from the real-time account information includes:
acquiring a plurality of preset dimensions and fund transaction storage templates corresponding to the financial service to be processed;
identifying a routing node corresponding to each dimension of each account in the real-time account information;
based on the routing node corresponding to each dimension of each account, adopting a preset routing decision module to route dimension information corresponding to each dimension from the real-time account information;
and mapping the plurality of dimension information corresponding to the plurality of dimensions of each account to corresponding fund transaction storage templates to obtain a fund transaction data table of each account.
In the embodiment, because the data processing logics in the account information corresponding to different financial services are different, a plurality of dimensions and fund transaction data storage templates can be preset for each financial service according to historical data, so that the fund transaction data table of each account can be managed conveniently and uniformly in the follow-up process, and the fund transaction data management efficiency is improved.
Specifically, the preset multiple dimensions may include a user dimension, a fund dimension and a time dimension, where the user dimension includes user information such as a user account, basic information of the user, and an attribute of the user, and the attribute of the user refers to an account level of the user account and a risk preference for purchasing the fund, and for example, the risk preference includes a conservative type, a robust type, a balanced type, an active type and an aggressive type; the fund dimensionality comprises fund information such as fund numbers and fund types, and the time dimensionality comprises time information such as fund purchasing time and account risk evaluation time.
In this embodiment, the fund transaction data table includes account information of each account, for example: user information, type of fund purchased, time of fund purchase, amount of fund purchase, etc.
The identifying module 203 is configured to identify a fund type of each fund in the fund transaction data table of each account, wherein the fund transaction data table of each account contains at least one fund.
In this embodiment, each account includes at least one fund, wherein each fund corresponds to a fund type, and specifically, the fund type includes multiple modes, for example, the fund type can be divided into an open fund and a closed fund according to fund units; the method can be divided into growth type fund, income type fund and balance type fund according to different investment risks and profits; the investment targets may be classified into four categories, i.e., bond fund, stock fund, currency fund and mixed fund, which are not limited herein.
In an alternative embodiment, the identifying module 203 identifies the fund type for each fund in the fund transaction data table for each account comprises:
extracting a fund code of each fund from a fund transaction data table of each account;
determining the fund type of each fund according to the fund code of each fund.
In this embodiment, the fund code is used to uniquely identify the fund type.
The dividing module 204 is configured to divide the fund transaction data table corresponding to the at least one account according to the fund type to obtain a plurality of sub-account data tables.
In an optional embodiment, the dividing module 204 divides the fund transaction data table corresponding to the at least one account according to the fund type, and obtaining a plurality of sub-account data tables includes:
aiming at each fund transaction data table of each account, recording fund transaction data of funds of the same type in the same sub data table by adopting a preset grouping aggregation function according to the fund type, and binding each sub data table with a corresponding user account;
and classifying the plurality of sub-data tables bound with the user account according to the fund type to obtain a plurality of sub-account data tables, wherein each sub-account data table comprises a plurality of sub-data tables of the fund of the same type.
In this embodiment, a grouping aggregation function may be preset, and the grouping aggregation function may be an aggregation function (aggregation function) or a grouping SELECT.
Further, the classifying the plurality of sub-data tables bound with the user account according to the fund type to obtain a plurality of sub-account data tables comprises:
and performing table dropping on a plurality of sub-data tables of the same type of fund according to a preset table dropping rule to obtain a corresponding sub-account data table of each fund type.
Specifically, the preset table dropping rule may be that table dropping is performed according to users, for example, all funds of the same user are sequentially sorted to perform table dropping; the table can also be sorted according to the purchase time sequence of a plurality of funds in the same type; the fund in the same type of fund can be sorted according to the use frequency of the fund, for example, the funds in the same type of fund are sorted in a descending order according to the use frequency of each fund, and are sorted into the corresponding sub-account data tables in sequence according to the descending order.
In this embodiment, the grouping aggregation function may group the real-time account information corresponding to the same type of fund in each fund transaction data table of each account, and perform aggregation calculation on the real-time account information corresponding to each fund in the real-time account information corresponding to the same type of fund, so as to ensure that only one data is recorded for each fund in each fund type of each account, reduce the data volume of each sub-data table, and further reduce the data volume in each sub-account data table.
In other alternative embodiments, the fund code for each fund in the fund transaction data table for each account is identified; and dividing the fund transaction data table corresponding to the at least one account according to the fund code to obtain a sub-account data table of each fund.
In this embodiment, for a live-time service in the financial field, due to the need of a service mode, a large part of the benefits of a fund service are reflected in the asset scale of a user, in order to bring more and better asset configuration to the user, the service often needs to be docked with a plurality of funds, and simultaneously manages asset data of tens of millions of users.
In this embodiment, the fund transaction data table corresponding to the at least one account is divided, the fund of the same type is determined as one sub-account data table or each fund is independently determined as one sub-account data table, and when a data processing task is subsequently performed, data processing is not required, and a data processing result is directly extracted from the plurality of sub-account data tables, so that the problem that the prior art cannot meet the requirement on timeliness is solved, and the timeliness for acquiring the data processing result is improved.
In the embodiment, the same fund is independently determined to be a sub-account data table, when a new fund type or account information corresponding to the new fund is received, only a new sub-account data table needs to be created again, the original sub-account data table does not need to be processed, horizontal expansion of the fund account is achieved, the data volume of the existing financial account general table is reduced, the thought of processing a small amount of data for multiple times is adopted, the efficiency of integrally inserting the new fund account information is improved, and the data processing efficiency is further improved.
The extraction module 205 is configured to execute the data processing task in the data processing request, and perform data extraction from the multiple sub-account data tables to obtain a data processing result.
In this embodiment, the data in the sub-account data table is result data, and when the data processing task is executed, data is extracted from the plurality of sub-account data tables according to the data processing conditions in the data processing task, so that processing is not required, and the data processing efficiency is improved.
In an optional embodiment, the extracting module 205 executes a data processing task in the data processing request, and performs data extraction from the multiple sub-account data tables, and obtaining a data processing result includes:
analyzing the data processing task to obtain a data processing condition;
converting the data processing conditions into database query statements according to preset conversion rules;
and executing the database query statement, and traversing the plurality of sub-account data tables to obtain a data processing result.
Illustratively, the data processing conditions in the processing task are: extracting a current share of the M fund of the target account, and converting the extracted current share of the M fund of the target account into a database query statement, wherein the database query statement may be an SQL query statement: and inquiring data corresponding to the fund codes of the M fund, executing the SQL inquiry statement, traversing the plurality of sub-account data tables, inquiring data corresponding to the fund codes of the M fund, and extracting to obtain a data processing result.
In this embodiment, since the data in each sub-account data table is the real-time account information classified based on the fund type, in the subsequent receiving of the data processing request, data extraction is performed from the multiple sub-account data tables corresponding to the target account according to the data processing conditions, so as to obtain the data processing result corresponding to the target account, the data processing result is a real-time account information accumulation result, and meanwhile, the data processing result does not need to be calculated separately, instead of generating the final share data of the user through daily transaction dynamic account record aggregation of the user in the prior art, the timeliness of the data processing result is improved.
In summary, in the data processing apparatus for financial services according to this embodiment, the preset routing decision module is used to route the fund transaction data table of each account from the real-time account information, so that the fund transaction data table of each account is conveniently managed in a subsequent unified manner, and the management efficiency of the fund transaction data is improved. The fund type of each fund in the fund transaction data table of each account is identified, the fund transaction data table corresponding to at least one account is divided according to the fund type to obtain a plurality of sub-account data tables, the fund of the same type is determined to be one sub-account data table, and when data processing is subsequently carried out, the fund data of the same type are processed in the same sub-account data table without processing other sub-account data tables, so that the data processing efficiency is improved. And executing the data processing task in the data processing request, and directly extracting the data processing result from the plurality of sub-account data tables, so that the timeliness of acquiring the data processing result is improved.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention. In the preferred embodiment of the present invention, the electronic device 3 comprises a memory 31, at least one processor 32, at least one communication bus 33 and a transceiver 34.
It will be appreciated by those skilled in the art that the configuration of the electronic device shown in fig. 3 does not constitute a limitation of the embodiment of the present invention, and may be a bus-type configuration or a star-type configuration, and the electronic device 3 may include more or less other hardware or software than those shown, or a different arrangement of components.
In some embodiments, the electronic device 3 is an electronic device capable of automatically performing numerical calculation and/or information processing according to instructions set or stored in advance, and the hardware thereof includes but is not limited to a microprocessor, an application specific integrated circuit, a programmable gate array, a digital processor, an embedded device, and the like. The electronic device 3 may also include a client device, which includes, but is not limited to, any electronic product that can interact with a client through a keyboard, a mouse, a remote controller, a touch pad, or a voice control device, for example, a personal computer, a tablet computer, a smart phone, a digital camera, and the like.
It should be noted that the electronic device 3 is only an example, and other existing or future electronic products, such as may be adapted to the present invention, should also be included in the scope of the present invention, and is included by reference.
In some embodiments, the memory 31 is used for storing program codes and various data, such as the data processing device 20 of financial services installed in the electronic equipment 3, and realizes high-speed and automatic access to programs or data during the operation of the electronic equipment 3. The Memory 31 includes a Read-Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an electronically Erasable rewritable Read-Only Memory (Electrically-Erasable Programmable Read-Only Memory (EEPROM)), an optical Read-Only disk (CD-ROM) or other optical disk Memory, a magnetic disk Memory, a tape Memory, or any other medium readable by a computer capable of carrying or storing data.
In some embodiments, the at least one processor 32 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The at least one processor 32 is a Control Unit (Control Unit) of the electronic device 3, connects various components of the electronic device 3 by using various interfaces and lines, and executes various functions and processes data of the electronic device 3 by running or executing programs or modules stored in the memory 31 and calling data stored in the memory 31.
In some embodiments, the at least one communication bus 33 is arranged to enable connectivity communication between the memory 31 and the at least one processor 32, and/or the like.
Although not shown, the electronic device 3 may further include a power supply (such as a battery) for supplying power to each component, and optionally, the power supply may be logically connected to the at least one processor 32 through a power management device, so as to implement functions of managing charging, discharging, and power consumption through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device 3 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
It is to be understood that the embodiments described are illustrative only and are not to be construed as limiting the scope of the claims.
The integrated unit implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, an electronic device, or a network device) or a processor (processor) to execute parts of the methods according to the embodiments of the present invention.
In a further embodiment, in conjunction with fig. 2, the at least one processor 32 may execute operating means of the electronic device 3 and various installed application programs (such as the data processing device 20 of the financial transaction), program codes, and the like, for example, the above-mentioned modules.
The memory 31 has program code stored therein, and the at least one processor 32 can call the program code stored in the memory 31 to perform related functions. For example, the respective modules illustrated in fig. 2 are program codes stored in the memory 31 and executed by the at least one processor 32, so as to implement the functions of the respective modules for the purpose of data processing of financial services.
Illustratively, the program code may be divided into one or more modules/units, which are stored in the memory 31 and executed by the processor 32 to accomplish the present application. The one or more modules/units may be a series of computer readable instruction segments capable of performing certain functions, which are used for describing the execution process of the program code in the electronic device 3. For example, the program code may be partitioned into a parsing and collection module 201, a routing module 202, an identification module 203, a partitioning module 204, and an extraction module 205.
In one embodiment of the present invention, the memory 31 stores a plurality of computer-readable instructions that are executed by the at least one processor 32 to implement the functions of data processing for financial transactions.
Specifically, the at least one processor 32 may refer to the description of the relevant steps in the embodiment corresponding to fig. 1, and details are not repeated here.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
Further, the computer-readable storage medium may be non-volatile or volatile.
Further, the computer-readable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the blockchain node, and the like.
The block chain referred by the application is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or that the singular does not exclude the plural. A plurality of units or means recited in the present invention may also be implemented by one unit or means through software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A data processing method for financial transactions, the method comprising:
analyzing the received data processing request, and acquiring real-time account information corresponding to the financial service to be processed, wherein the real-time account information comprises at least one account;
routing out a fund transaction data table of each account from the real-time account information by adopting a preset routing decision module;
identifying a fund type of each fund in a fund transaction data table of each account, wherein the fund transaction data table of each account comprises at least one fund;
dividing a fund transaction data table corresponding to the at least one account according to the fund type to obtain a plurality of sub-account data tables;
and executing the data processing task in the data processing request, and extracting data from the plurality of sub-account data tables to obtain a data processing result.
2. The data processing method of financial transaction as claimed in claim 1, wherein said routing out the fund transaction data table of each account from the real-time account information using a predetermined routing decision module comprises:
acquiring a plurality of preset dimensions and fund transaction storage templates corresponding to the financial service to be processed;
identifying a routing node corresponding to each dimension of each account in the real-time account information;
based on the routing node corresponding to each dimension of each account, adopting a preset routing decision module to route dimension information corresponding to each dimension from the real-time account information;
and mapping the plurality of dimension information corresponding to the plurality of dimensions of each account to corresponding fund transaction storage templates to obtain a fund transaction data table of each account.
3. The data processing method of a financial transaction of claim 1 wherein said identifying a fund type for each fund in the fund transaction data table for each account comprises:
extracting a fund code of each fund from a fund transaction data table of each account;
determining the fund type of each fund according to the fund code of each fund.
4. The data processing method of financial transactions of claim 1, wherein said dividing the corresponding fund transaction data table for said at least one account according to said fund type to obtain a plurality of sub-account data tables comprises:
aiming at each fund transaction data table of each account, recording fund transaction data of funds of the same type in the same sub data table by adopting a preset grouping aggregation function according to the fund type, and binding each sub data table with a corresponding user account;
and classifying the plurality of sub-data tables bound with the user account according to the fund type to obtain a plurality of sub-account data tables, wherein each sub-account data table comprises a plurality of sub-data tables of the fund of the same type.
5. The data processing method of financial transaction as claimed in claim 4, wherein said classifying the plurality of sub-data tables bound with the user account according to the fund type to obtain a plurality of sub-account data tables comprises:
and performing table dropping on a plurality of sub-data tables of the same type of fund according to a preset table dropping rule to obtain a corresponding sub-account data table of each fund type.
6. The data processing method of financial transaction as claimed in claim 1, wherein said executing the data processing task in the data processing request to extract data from the plurality of sub-account data tables, and obtaining the data processing result comprises:
analyzing the data processing task to obtain a data processing condition;
converting the data processing conditions into database query statements according to preset conversion rules;
and executing the database query statement, and traversing the plurality of sub-account data tables to obtain a data processing result.
7. The data processing method of financial services according to claim 1, wherein said parsing the received data processing request and collecting real-time account information corresponding to the financial service to be processed comprises:
analyzing the message of the data processing request to obtain message information carried by the message;
acquiring a block identification code of a block chain from the message information;
acquiring a preset application layer interface according to the block identification code of the block chain;
acquiring an encryption key of a financial service equipment node to be processed according to the application layer interface;
and encrypting the real-time data acquired from the financial service equipment to be processed by using the encryption key by using an encryption algorithm, and outputting the encrypted real-time data through the application layer interface to obtain the real-time account information corresponding to the financial service to be processed.
8. A data processing apparatus for financial transactions, the apparatus comprising:
the analysis and acquisition module is used for analyzing the received data processing request and acquiring real-time account information corresponding to the financial service to be processed, wherein the real-time account information comprises at least one account;
the routing module is used for routing out the fund transaction data table of each account from the real-time account information by adopting a preset routing decision module;
the identification module is used for identifying the fund type of each fund in the fund transaction data table of each account, wherein the fund transaction data table of each account comprises at least one fund;
the division module is used for dividing the fund transaction data table corresponding to the at least one account according to the fund type to obtain a plurality of sub-account data tables;
and the extraction module is used for executing the data processing task in the data processing request and extracting data from the plurality of sub-account data tables to obtain a data processing result.
9. An electronic device, characterized in that the electronic device comprises a processor and a memory, the processor being configured to implement the data processing method of a financial transaction as claimed in any one of claims 1 to 7 when executing a computer program stored in the memory.
10. A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the data processing method of a financial transaction according to any one of claims 1 to 7.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101566986A (en) * | 2008-04-21 | 2009-10-28 | 阿里巴巴集团控股有限公司 | Method and device for processing data in online business processing |
| CN108734021A (en) * | 2018-04-03 | 2018-11-02 | 杭州连银科技有限公司 | It is a kind of based on the financial credit big data methods of risk assessment and system that remove private data |
| CN109933626A (en) * | 2019-02-12 | 2019-06-25 | 平安科技（深圳）有限公司 | Data processing method, device and the financial transaction terminal of financial business |
| CN111147377A (en) * | 2019-12-05 | 2020-05-12 | 连连银通电子支付有限公司 | Method, device, equipment and medium for determining service channel |
-
2022
- 2022-03-04 CN CN202210208801.1A patent/CN114579574A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101566986A (en) * | 2008-04-21 | 2009-10-28 | 阿里巴巴集团控股有限公司 | Method and device for processing data in online business processing |
| CN108734021A (en) * | 2018-04-03 | 2018-11-02 | 杭州连银科技有限公司 | It is a kind of based on the financial credit big data methods of risk assessment and system that remove private data |
| CN109933626A (en) * | 2019-02-12 | 2019-06-25 | 平安科技（深圳）有限公司 | Data processing method, device and the financial transaction terminal of financial business |
| CN111147377A (en) * | 2019-12-05 | 2020-05-12 | 连连银通电子支付有限公司 | Method, device, equipment and medium for determining service channel |
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