CN114708080B - Distributed financial data online processing method - Google Patents
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Abstract
The invention discloses a distributed financial data online processing method, relating to the technical field of data management, wherein financial data from different front-end financial data sources are summarized and classified by setting a data storage space, financial data from the same front-end financial data source are further summarized and classified by setting different time partition intervals in the data storage space, partition sequences are generated, and finally the financial data from different front-end financial data sources are integrated by correlating the same partition sequences in different data storage spaces, so that a data base can be provided for realizing parallel processing among the financial data from different front-end financial data sources, independent financial data report analysis on the financial data from different front-end financial data sources is not needed, and the financial data processing flow is shortened, and the financial data processing efficiency is improved.
Description
Technical Field
The invention relates to the technical field of data management, in particular to a distributed financial data online processing method.
Background
The client information of the financial consulting company is very complicated, such as identity information collection, data scanning, bill storage, receipt printing and stamping and other businesses. In the current technology and business, the financial data management system can only provide support for the business of fixed customers, the use efficiency is very low, and a large amount of idle waste of a computer system and a network system is caused;
in the process of processing financial data, particularly parallel processing of financial data of multiple data source points often has asynchronous information, so that the financial data cannot be accurately estimated in the process of processing the financial data, and the processing capacity and the processing efficiency of the data are influenced when the financial data are actually processed.
Disclosure of Invention
The invention aims to provide a distributed financial data online processing method.
The purpose of the invention can be realized by the following technical scheme: a distributed financial data online processing method comprises the following steps:
the method comprises the following steps: establishing a distributed communication node, and linking the distributed communication node with different front-end financial data sources;
step two: the financial data uploaded to the distributed communication nodes from the front-end financial data source are summarized, and the financial data are processed at intervals;
step three: and uploading the financial data in the distributed communication nodes to an information sharing platform, and performing parallel processing on the financial data in the information sharing platform.
Further, the establishment process of the distributed communication node comprises:
setting front-end data entry ports according to actual requirements, and entering financial data through each front-end data entry port;
after confirming the entered financial data, the user uploads the financial data to a corresponding distributed communication node, and meanwhile, the entry time of the financial data is obtained, and a time tag is generated;
establishing a distributed communication node, linking the distributed communication node with a front-end data entry port, acquiring financial data in the front-end data entry port, and marking the front-end data entry port linked with the distributed communication node as a front-end financial data source.
Furthermore, each front-end data entry port is provided with a unique name and a corresponding identification code, and the generated time tag is attached with the identification code information of the front-end data entry port.
Further, before the user enters the financial data through each front-end data entry port, the process of identity registration and login of the user comprises:
setting an information registration port, and inputting personal basic information into the information registration port by a user;
the method comprises the steps that personal basic information of a user is audited, after the audit is passed, a user account is generated according to a mobile phone number in the personal basic information input by the user, the user account is bound with a front-end data entry port corresponding to an information registration port, the user account is endowed with the authority of performing financial data entry from the bound front-end data entry port, and the generated user account is sent to the user;
and setting a user login port, inputting the obtained user account into the user login port by the user, verifying the input user account by the user login port, and finishing login after the verification is passed.
Further, the specific process of performing time separation on the financial data comprises:
establishing a data processing interval, and importing financial data in each distributed communication node into the data processing interval;
establishing a corresponding data storage interval in the data processing interval according to the identification code of each front-end financial data source;
establishing a time partition interval in each data storage space, wherein each time partition interval corresponds to a time period;
acquiring time tags corresponding to all financial data in each data storage space, matching time corresponding to the time tags with a time period corresponding to each time partition interval, generating partition sequences, and binding the generated partition sequences with the financial data corresponding to the time tags;
financial data with the same partition sequence in different data storage spaces are marked and the partition sequences are associated.
Further, the process of parallel processing the financial data comprises:
setting work distribution nodes and acquiring the real-time reading speed of each work distribution node;
setting a task demand port and calling a demand for input data in the task demand port;
according to the input data calling requirement, marking financial data meeting the data calling requirement to obtain a financial data packet, and acquiring a total data volume value of the financial data packet;
sorting each piece of financial data in the financial data packet according to the data volume value;
acquiring a volume parallel coefficient of the financial data packet;
and setting a massif parallel threshold, comparing the massif parallel coefficient of the obtained financial data packet with the massif parallel threshold, and judging whether the work distribution node can meet the parallel processing requirement of the financial data packet according to the comparison result.
Compared with the prior art, the invention has the beneficial effects that: the financial data that will come from different front end financial data sources through setting up data storage space sums up the classification, the rethread sets up different time in data storage space and cuts off the interval and further sums up the financial data of same front end financial data source and classify, and generate and cut off the sequence, at last through cutting off the sequence with the same in the different data storage space and associating, thereby realize integrating the financial data of different front end financial data sources, make and realize parallel processing and provide the data basis between the financial data of different front end financial data sources, do not need the independent financial data statement analysis of carrying on of the financial data of different front end financial data sources, shorten the financial data processing flow, improve financial data processing efficiency.
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Fig. 1 is a schematic diagram of the present invention.
Detailed Description
As shown in fig. 1, a distributed financial data online processing method includes the following steps:
the method comprises the following steps: establishing a distributed communication node, and linking the distributed communication node with different front-end financial data sources;
step two: the financial data uploaded to the distributed communication nodes from the front-end financial data source are summarized, and time interval processing is carried out on the financial data;
step three: and uploading the financial data in the distributed communication nodes to an information sharing platform, and performing parallel processing on the financial data in the information sharing platform.
It should be further noted that, in the implementation process, the establishment process of the distributed communication node includes:
setting front-end data entry ports according to actual requirements, and entering financial data through each front-end data entry port;
after confirming the entered financial data, the user uploads the financial data to a corresponding distributed communication node, and meanwhile, the entry time of the financial data is obtained, and a time tag is generated; it is further noted that, in the specific implementation process, each front-end data entry port is provided with a unique name and a corresponding identification code, and the generated time tag is attached with the identification code information of the front-end data entry port;
establishing a distributed communication node, linking the distributed communication node with a front-end data entry port, acquiring financial data in the front-end data entry port, and marking the front-end data entry port linked with the distributed communication node as a front-end financial data source;
it should be further explained that, in the specific implementation process, before the user enters the financial data through each front-end data entry port, the user needs to perform identity registration and login, and the process of performing identity registration and login by the user includes:
setting an information registration port, and inputting personal basic information into the information registration port by a user; it should be further noted that, in the implementation process, the personal basic information of the user includes name, gender, age, and phone number of real-name authentication;
the method comprises the steps that personal basic information of a user is audited, after the audit is passed, a user account is generated according to a mobile phone number in the personal basic information input by the user, the user account is bound with a front-end data entry port corresponding to an information registration port, the user account is endowed with the authority of performing financial data entry from the bound front-end data entry port, and the generated user account is sent to the user;
setting a user login port, inputting the obtained user account number into the user login port by a user, verifying the input user account number by the user login port, and completing login after the verification is passed; it should be further noted that, in the specific implementation process, when the personal basic information of the user is checked, the personal basic information is input through the information registration port in which the front-end data entry port is located, and the user account of the user can only log in and operate in the data entry port.
It should be further noted that, in the specific implementation process, each distributed communication node summarizes the financial data obtained from the front-end financial data source and performs time separation on the financial data, and the specific process of performing time separation on the financial data includes:
establishing a data processing interval, and importing financial data in each distributed communication node into the data processing interval;
establishing a corresponding data storage interval in the data processing interval according to the identification code of each front-end financial data source, and importing the financial data of each front-end financial data source into the corresponding data storage interval;
establishing time partition intervals in each data storage space, wherein each time partition interval corresponds to a time period, and the time periods corresponding to different time partition intervals in the same data storage space are different;
acquiring time tags corresponding to all financial data in each data storage space, and matching the time corresponding to the time tags with the time period corresponding to each time partition interval;
when the time corresponding to the time tag is within a time period range corresponding to a certain time partition interval, marking the financial data corresponding to the time tag, generating a partition sequence according to the corresponding time partition interval, and binding the generated partition sequence with the financial data corresponding to the time tag;
financial data with the same partition sequence in different data storage spaces are marked and the partition sequences are associated.
It should be further noted that, in the specific implementation process, the financial data from different front-end financial data sources are summarized and classified by setting the data storage space, the financial data from the same front-end financial data source are further summarized and classified by setting different time partition intervals in the data storage space, partition sequences are generated, and finally the same partition sequences in different data storage spaces are associated, so that the financial data from different front-end financial data sources are integrated, a data basis is provided for parallel processing among the financial data from different front-end financial data sources, independent financial data statement analysis on the financial data from different front-end financial data sources is not needed, the financial data processing flow is shortened, and the financial data processing efficiency is improved.
It should be further noted that, in the specific implementation process, after the time interval processing of the financial data of different front-end financial data sources is completed, the financial data of different front-end financial data sources are processed in parallel, and the specific process includes:
setting work distribution nodes, marking each work distribution node as i, wherein i =1, 2, … …, n is more than 0, and n is an integer;
acquiring the real-time reading speed of each work distribution node, and marking the real-time reading speed of each work distribution node as DS i ；
Setting a task demand port and calling a demand for input data in the task demand port; it is further noted that, in the implementation process, the data call requirement includes at least one of a time range and an identification code of a front-end financial data source;
according to the input data calling requirement, marking financial data which meet the data calling requirement;
summarizing all the marked financial data to obtain a financial data packet, acquiring a total data volume value of the financial data packet, and marking the total data volume value as ST;
recording the number of financial data pieces in the financial data packet as m, sequencing each piece of financial data according to a data volume value, and labeling each piece of financial data as j, wherein j =1, 2, … …, m, m > 0 and m is an integer, and labeling the data volume value of each piece of financial data as CS j ；
It should be further explained that, in the specific implementation process, in the process of sorting the financial data, if the data volume values of the financial data are consistent, sorting is performed according to the time corresponding to the time tag of the financial data; if the data volume value is consistent with the time corresponding to the time tag, randomly sequencing;
acquiring a massively parallel coefficient of the financial data packet, and marking the massively parallel coefficient of the financial data packet as BX;
wherein
；
Setting a massiveness threshold B0, and comparing the massiveness coefficient of the obtained financial data packet with the massiveness threshold;
let i =1, when BX > B0, it indicates that the data volume value of the financial data packet exceeds the load of the current working distribution node, let i =2, continue to obtain the volume coefficient of the financial data packet, and so on;
when i = k, k is less than or equal to n, and BX is less than or equal to B0, it indicates that the current work distribution node can meet the parallel data processing of the financial data packet; all the work distribution nodes corresponding to the labels i =1 to i = k are marked and the data in the financial data packet is processed.
It should be further noted that, in the implementation process, when i = k, k > n, and BX > B0, the early warning information is generated and sent to the user, so as to inform the user that the financial data volume corresponding to the data call demand input by the user is overloaded.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the scope of the present invention.
Claims (4)
1. A distributed financial data online processing method is characterized by comprising the following steps:
the method comprises the following steps: establishing a distributed communication node, and linking the distributed communication node with different front-end financial data sources;
step two: the financial data uploaded to the distributed communication nodes from the front-end financial data source are summarized, and the financial data are processed at intervals; the process of time-out processing financial data includes:
establishing a data processing interval, and importing financial data in each distributed communication node into the data processing interval;
establishing a corresponding data storage interval in the data processing interval according to the identification code of each front-end financial data source;
establishing a time partition interval in each data storage space, wherein each time partition interval corresponds to a time period;
acquiring time tags corresponding to all financial data in each data storage space, matching time corresponding to the time tags with a time period corresponding to each time partition interval, generating partition sequences, and binding the generated partition sequences with the financial data corresponding to the time tags;
marking financial data with the same partition sequence in different data storage spaces, and associating the partition sequences;
step three: uploading financial data in the distributed communication nodes to an information sharing platform, and performing parallel processing on the financial data in the information sharing platform, wherein the process of performing parallel processing on the financial data comprises the following steps:
setting work distribution nodes, and marking each work distribution node as i, wherein i =1, 2, … …, n, n > 0 and n is an integer;
acquiring the real-time reading speed of each work distribution node, and marking the real-time reading speed of each work distribution node as DS i ；
Setting a task demand port and calling a demand for input data in the task demand port;
marking financial data which meet the data calling requirements according to the input data calling requirements;
summarizing all the marked financial data to obtain a financial data packet, acquiring a total data volume value of the financial data packet, and marking the total data volume value as ST;
recording the number of financial data pieces in the financial data packet as m, sequencing each piece of financial data according to a data volume value, and labeling each piece of financial data as j, wherein j =1, 2, … …, m, m > 0 and m is an integer, and labeling the data volume value of each piece of financial data as CS j ；
Acquiring a massively parallel coefficient of the financial data packet, and marking the massively parallel coefficient of the financial data packet as BX;
wherein
Setting a massively parallel threshold B0, and comparing the massively parallel coefficient of the obtained financial data packet with the massively parallel threshold;
let i =1, when BX > B0, it indicates that the data volume value of the financial data packet exceeds the load of the current working distribution node, let i =2, continue to obtain the volume coefficient of the financial data packet, and so on;
when i = k, k is less than or equal to n, and BX is less than or equal to B0, it indicates that the current work distribution node can satisfy the parallel data processing of the financial data packet; all the work distribution nodes corresponding to the labels i =1 to i = k are marked and the data in the financial data packet is processed.
2. A distributed online financial data processing method according to claim 1 wherein the establishment of a distributed communication node comprises:
setting front-end data entry ports according to actual requirements, and performing financial data entry through each front-end data entry port;
after confirming the entered financial data, the user uploads the financial data to a corresponding distributed communication node, and meanwhile, the entry time of the financial data is obtained, and a time tag is generated;
establishing a distributed communication node, linking the distributed communication node with a front-end data entry port, acquiring financial data in the front-end data entry port, and marking the front-end data entry port linked with the distributed communication node as a front-end financial data source.
3. A distributed online financial data processing method as claimed in claim 2 in which each front-end data entry port is provided with a unique name and corresponding identification code, and the generated time tag is accompanied by identification code information for the front-end data entry port.
4. A distributed online financial data processing method according to claim 3 wherein, prior to financial data entry by a user via each front-end data entry port, the user performs identity registration and login procedures including:
setting an information registration port, and inputting personal basic information into the information registration port by a user;
the method comprises the steps that personal basic information of a user is audited, after the audit is passed, a user account is generated according to a mobile phone number in the personal basic information input by the user, the user account is bound with a front-end data entry port corresponding to an information registration port, the user account is endowed with the authority of performing financial data entry from the bound front-end data entry port, and the generated user account is sent to the user;
and setting a user login port, inputting the obtained user account into the user login port by the user, verifying the input user account by the user login port, and finishing login after the verification is passed.
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| CN113065938A (en) * | 2021-04-12 | 2021-07-02 | 信阳农林学院 | Financial data processing method and system |
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| CN113537370A (en) * | 2021-07-22 | 2021-10-22 | 湖南涉外经济学院 | Cloud computing-based financial data processing method and system |
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| CN114510589A (en) * | 2022-01-21 | 2022-05-17 | 北京快确信息科技有限公司 | Enterprise financial data entry method and device and electronic equipment |
| CN114357085B (en) * | 2022-03-15 | 2022-06-03 | 国网浙江省电力有限公司绍兴供电公司 | Financial data storage method and device based on block chain and storage medium |
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