CN116701407A - Financial policy data storage system based on distributed database - Google Patents
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Abstract
A financial policy data storage system based on a distributed database comprises an operation interface module, a data node management module, a data compression module, a data distributor module, a data synchronizer module, a data security module, a data backup module and a query engine module; the invention provides a financial policy data storage system based on a distributed database, which adopts the distributed database technology, firstly provides an operation interface for a user to operate, selects storable storage nodes, compresses stored data through a compression algorithm, automatically selects proper nodes for storage through a data distributor, simultaneously maintains the consistency of the node data, adopts an encryption algorithm to carry out safe encryption and backup on the data, and can carry out quick query on the policy data by the user.
Description
Technical Field
The invention relates to the field of data storage, in particular to a financial policy data storage system based on a distributed database.
Background
With the rapid development and digital transformation of the financial industry, the insurance industry needs to process and manage a large amount of policy data. Conventional centralized database storage systems face challenges in handling large amounts of data, such as inefficiency in data storage and retrieval, capacity and performance limitations, and the like. To overcome the limitations of conventional databases, distributed database techniques have evolved. The distributed database stores data on a plurality of nodes and works cooperatively through network connection to provide higher storage capacity, data concurrency and scalability. The advent of distributed databases provides a better solution for financial policy data storage systems. Accordingly, a financial policy storage system based on a distributed database is presented. Through distributed storage, data synchronization and security control, financial policy data management with high performance, expandability and security is realized. The system has wide application prospect in the financial insurance industry, and can provide a more reliable and efficient policy storage management solution for insurance companies, agents and clients.
Disclosure of Invention
The invention aims to provide a financial policy data storage system based on a distributed database, so as to solve the problems in the background technology.
In order to achieve the above objective, the present invention provides a financial policy data storage system based on a distributed database, which includes an operation interface module, a data node management module, a data compression module, a data distributor module, a data synchronizer module, a data security module, a data backup module, and a query engine module; the operation interface module provides a graphic operation interface for a user to use; the data node management module manages and coordinates all storage nodes; the data compression module compresses and optimizes the data to be stored through a compression algorithm; the data distributor module makes a policy data distribution strategy by using a load balancing algorithm, distributes policy data to proper data nodes, and ensures balanced storage and access of the data; the data synchronizer module monitors and synchronizes the variation among the data nodes, and ensures the accuracy and consistency of the data; the data security module can only access and modify data by an authorized user through an encryption technology and an authority control mechanism, so that data leakage and tampering are prevented, and the security of policy data is protected; the data backup module periodically backs up the policy data at the backup storage node to prevent the data from being lost and damaged; the query engine module supports various query languages and query modes, and provides a flexible query interface to enable a user to quickly search the policy data according to various conditions and parameters.
Furthermore, the operation interface module provides an operation interface of the distributed storage system, a user can conveniently manage and inquire the policy data, the operation interface module provides abundant functions and interaction modes for the user by adopting an intuitive graphical user interface, and the user can perform authority authentication, policy entry and editing, policy inquiry and retrieval and storage system log inquiry on the operation interface.
Furthermore, the data node management module manages and coordinates data storage nodes in the system, realizes the capacity of distributed storage and processing policy data, and a user can flexibly adjust the number and the positions of the nodes according to the system requirements by adding, deleting and modifying the data storage nodes through the data node management module, so that the user can reasonably conduct node planning configuration according to the system scale and the performance requirements, and the data storage nodes comprise a physical server, cloud storage and a virtual machine.
Furthermore, the data compression module compresses the policy data by adopting a Huffman coding lossless compression algorithm, converts the data into a more compact storage format, occupies less storage space after compression, reduces storage cost, reduces bandwidth consumption of data transmission, and can decompress the compressed data when the policy data is required to be accessed or used, restore the data into an original format and ensure the integrity and usability of the data.
Further, the data distributor module analyzes system requirements and business rules, adopts a load balancing algorithm based on the policy type, the geographic position and the client attribute, formulates a corresponding distribution strategy, determines the rule and the mode of data distribution by the policy data distribution strategy, automatically distributes policy data to proper storage nodes, ensures reasonable distribution of the data among different data nodes, dynamically adjusts the routing and distribution modes of the data according to factors such as node load and availability, and realizes load balancing and node fault recovery.
Further, the data synchronizer module monitors the data change condition in each data node in real time, monitors the data addition, modification and deletion operation in real time, captures the change event of the data, acquires the latest data update information by monitoring the data change, ensures the data consistency and reliability of different storage nodes, eliminates the influence caused by the data version problem, and prepares for the subsequent operation.
Furthermore, the data security module controls access and operation authority of the policy data storage node through an access control and authority management mechanism, performs identity verification and authorization according to user identity, role and authority level, only authorized users can access corresponding data, the data security module also limits the operation authority of the users so as to prevent unauthorized users from modifying or deleting the data, and the data security module encrypts the transmission and storage process of the policy data by adopting a hash encryption algorithm and a key management mechanism to prevent the data from being stolen or tampered in transmission.
Furthermore, the data backup module periodically backs up the financial policy data at the backup storage node according to the system demand and the data change frequency and a preset time interval, the system keeps the data information of a plurality of time points through the periodic backup, and when data loss, data damage and system failure occur, the data backup module can restore the data from the backup data to a normal running state, so that the reliability and the restorability of the distributed storage system are ensured.
Further, the query engine module supports multiple query languages and query modes, provides flexible query interfaces to enable users to quickly search policy data according to various conditions and parameters, analyzes structures, conditions and association relations of query sentences to determine the most effective query plan, improves query performance and response time by optimizing the query plan, reduces consumption of system resources, supports distributed query processing, distributes query requests to appropriate data nodes, coordinates query operations among the data nodes, improves throughput and concurrency performance of query by parallel processing and distributed computation, and quickly searches large-scale data.
The beneficial effects are that: the invention provides a financial policy data storage system based on a distributed database, which comprises an operation interface module, a data node management module, a data compression module, a data distributor module, a data synchronizer module, a data security module, a data backup module and a query engine module; the operation interface module adopts an intuitive graphical user interface to provide rich functions and interaction modes for users, and the users perform authority authentication, policy entry and editing, policy inquiry and retrieval and system log inquiry; the data node management module manages and coordinates data storage nodes in the system, and reasonably performs planning configuration of the nodes; the data compression module compresses the policy data by adopting a Huffman coding lossless compression algorithm, so that the storage cost is reduced, and the bandwidth consumption of data transmission is reduced; the data distributor module makes a policy data distribution strategy by using a load balancing algorithm, distributes policy data to proper data nodes, ensures balanced storage and access of the data, and realizes load balancing and node fault recovery; the data synchronizer module monitors and synchronizes the variation among the data nodes, and ensures the accuracy and consistency of the data; the data security module can only access and modify data by authorized users through a hash encryption algorithm and an authority control mechanism, so that data leakage and tampering are prevented, and the security of policy data is protected; the data backup module periodically backs up the policy data at the backup storage node to prevent the data from being lost and damaged; the query engine module supports various query languages and query modes, analyzes the structure, the condition and the association relation of query sentences, determines the most effective query plan, and improves the query performance and the response time by optimizing the query plan, thereby reducing the consumption of system resources. The financial policy data storage system based on the distributed database can efficiently store and manage a large amount of financial policy data, the system can flexibly allocate and expand storage nodes through the distributed database technology and the data node management module, high-capacity and high-concurrency data storage is provided, the system can rapidly respond to the inquiry request of a user and efficiently search and return required policy data through the optimized inquiry processing and data indexing technology, the user can rapidly and accurately acquire required information, various advantages are brought to data management and business operation in the financial industry, the working efficiency is improved, the data safety is guaranteed, and better user experience is provided.
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The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation on the invention, and other drawings can be obtained by one of ordinary skill in the art without undue effort from the following drawings.
Fig. 1 is a schematic diagram of the structure of the present invention.
Detailed Description
The invention is further described in connection with the following examples.
Referring to fig. 1, an objective of the present invention is to provide a financial policy data storage system based on a distributed database, so as to solve the above-mentioned problems in the background art.
In order to achieve the above objective, the present invention provides a financial policy data storage system based on a distributed database, an operation interface module, a data node management module, a data compression module, a data distributor module, a data synchronizer module, a data security module, a data backup module, and a query engine module; the operation interface module provides a graphic operation interface for a user to use; the data node management module manages and coordinates all storage nodes; the data compression module compresses and optimizes the data to be stored through a compression algorithm; the data distributor module makes a policy data distribution strategy by using a load balancing algorithm, distributes policy data to proper data nodes, and ensures balanced storage and access of the data; the data synchronizer module monitors and synchronizes the variation among the data nodes, and ensures the accuracy and consistency of the data; the data security module can only access and modify data by an authorized user through an encryption technology and an authority control mechanism, so that data leakage and tampering are prevented, and the security of policy data is protected; the data backup module periodically backs up the policy data at the backup storage node to prevent the data from being lost and damaged; the query engine module supports various query languages and query modes, and provides a flexible query interface to enable a user to quickly search the policy data according to various conditions and parameters.
Furthermore, the operation interface module provides an operation interface of the distributed storage system, a user can conveniently manage and inquire the policy data, the operation interface module provides abundant functions and interaction modes for the user by adopting an intuitive graphical user interface, and the user can perform authority authentication, policy entry and editing, policy inquiry and retrieval and storage system log inquiry on the operation interface.
Specifically, the data node management module manages and coordinates data storage nodes in the system, realizes the capacity of distributed storage and processing policy data, and a user can flexibly adjust the number and the positions of the nodes according to the system requirements by adding, deleting and modifying the data storage nodes through the data node management module, so that the user can perform reasonable node planning configuration according to the system scale and the performance requirements, and the data storage nodes comprise a physical server, cloud storage and a virtual machine.
Specifically, the data compression module compresses the policy data by adopting a Huffman coding lossless compression algorithm, converts the data into a more compact storage format, occupies less storage space after compression, reduces storage cost, reduces bandwidth consumption of data transmission, and can decompress the compressed data when the policy data is required to be accessed or used, restore the data into an original format and ensure the integrity and usability of the data.
Specifically, the data distributor module analyzes system requirements and business rules, adopts a load balancing algorithm based on policy types, geographic positions and client attributes, formulates corresponding distribution strategies, determines rules and modes of data distribution by the policy data distribution strategies, automatically distributes policy data to appropriate storage nodes, ensures reasonable distribution of the data among different data nodes, dynamically adjusts the routing and distribution modes of the data according to factors such as node loads and availability, and realizes load balancing and node fault recovery.
Specifically, the data synchronizer module monitors the data change condition in each data node in real time, monitors the data addition, modification and deletion operation in real time, captures the change event of the data, acquires the latest data update information by monitoring the data change, ensures the data consistency and reliability of different storage nodes, eliminates the influence caused by the data version problem, and prepares for the subsequent operation.
Specifically, the data security module controls access and operation authority of the policy data storage node through an access control and authority management mechanism, performs identity verification and authorization according to user identity, role and authority level, only authorized users can access corresponding data, the data security module also limits the operation authority of the users so as to prevent unauthorized users from modifying or deleting the data, and the data security module encrypts transmission and storage processes of the policy data by adopting a hash encryption algorithm and a key management mechanism to prevent the data from being stolen or tampered in transmission.
Specifically, the data backup module periodically backs up financial policy data at backup storage nodes according to system requirements and data change frequency and a preset time interval, the system keeps data information of a plurality of time points through periodic backup, and when data loss, data damage and system failure occur, the data backup module can restore data from the backup data to a normal running state, so that the reliability and the restorability of the distributed storage system are ensured.
Specifically, the query engine module supports multiple query languages and query modes, provides flexible query interfaces to enable users to quickly search policy data according to various conditions and parameters, analyzes the structure, conditions and association relation of query sentences to determine the most effective query plan, improves query performance and response time by optimizing the query plan, reduces consumption of system resources, supports distributed query processing, distributes query requests to appropriate data nodes, coordinates query operation among the data nodes, improves throughput and concurrency performance of query by parallel processing and distributed computation, and quickly searches large-scale data.
The beneficial effects are that: the invention provides a financial policy data storage system based on a distributed database, which comprises an operation interface module, a data node management module, a data compression module, a data distributor module, a data synchronizer module, a data security module, a data backup module and a query engine module; the operation interface module adopts an intuitive graphical user interface to provide rich functions and interaction modes for users, and the users perform authority authentication, policy entry and editing, policy inquiry and retrieval and system log inquiry; the data node management module manages and coordinates data storage nodes in the system, and reasonably performs planning configuration of the nodes; the data compression module compresses the policy data by adopting a Huffman coding lossless compression algorithm, so that the storage cost is reduced, and the bandwidth consumption of data transmission is reduced; the data distributor module makes a policy data distribution strategy by using a load balancing algorithm, distributes policy data to proper data nodes, ensures balanced storage and access of the data, and realizes load balancing and node fault recovery; the data synchronizer module monitors and synchronizes the variation among the data nodes, and ensures the accuracy and consistency of the data; the data security module can only access and modify data by authorized users through a hash encryption algorithm and an authority control mechanism, so that data leakage and tampering are prevented, and the security of policy data is protected; the data backup module periodically backs up the policy data at the backup storage node to prevent the data from being lost and damaged; the query engine module supports various query languages and query modes, analyzes the structure, the condition and the association relation of query sentences, determines the most effective query plan, and improves the query performance and the response time by optimizing the query plan, thereby reducing the consumption of system resources. The financial policy data storage system based on the distributed database can efficiently store and manage a large amount of financial policy data, the system can flexibly allocate and expand storage nodes through the distributed database technology and the data node management module, high-capacity and high-concurrency data storage is provided, the system can rapidly respond to the inquiry request of a user and efficiently search and return required policy data through the optimized inquiry processing and data indexing technology, the user can rapidly and accurately acquire required information, various advantages are brought to data management and business operation in the financial industry, the working efficiency is improved, the data safety is guaranteed, and better user experience is provided.
The present invention also provides a computer readable storage medium having stored therein at least one instruction that is loaded and executed by a processor to implement the above-described method. The computer readable storage medium may be, among other things, ROM, random access memory, CD-ROM, magnetic tape, floppy disk, optical data storage device, etc. The instructions stored therein may be loaded by a processor in the terminal and perform the methods described above.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. A financial policy data storage system based on a distributed database comprises an operation interface module, a data node management module, a data compression module, a data distributor module, a data synchronizer module, a data security module, a data backup module and a query engine module; the operation interface module provides a graphic operation interface for a user to use; the data node management module manages and coordinates all storage nodes; the data compression module compresses and optimizes the data to be stored through a hash compression algorithm; the data distributor module makes a policy data distribution strategy by using a load balancing algorithm, distributes policy data to proper data nodes, and ensures balanced storage and access of the data; the data synchronizer module monitors and synchronizes the variation among the data nodes, and ensures the accuracy and consistency of the data; the data security module can only access and modify data by an authorized user through an encryption technology and an authority control mechanism, so that data leakage and tampering are prevented, and the security of policy data is protected; the data backup module periodically backs up the policy data at the backup storage node to prevent the data from being lost and damaged; the query engine module supports various query languages and query modes, and provides a flexible query interface to enable a user to quickly search the policy data according to various conditions and parameters.
2. The financial policy data storage system based on the distributed database according to claim 1, wherein the operation interface module provides an operation interface of the distributed storage system, so that a user can conveniently manage and query policy data, and the operation interface module provides abundant functions and interaction modes for the user by adopting an intuitive graphical user interface, and in the operation interface, the user can perform authority authentication, policy entry and editing, policy query and search and storage system log query.
3. The financial policy data storage system based on the distributed database according to claim 1, wherein the data node management module manages and coordinates data storage nodes in the system to realize the capability of distributed storage and processing of policy data, and a user can add, delete and modify the data storage nodes through the data node management module, flexibly adjust the number and the positions of the nodes according to the system requirements, and perform reasonable node planning configuration according to the system scale and the performance requirements, wherein the data storage nodes comprise physical servers, cloud storage and virtual machines.
4. The financial policy data storage system based on the distributed database according to claim 1, wherein the data compression module compresses policy data by using a Huffman coding lossless compression algorithm, converts the data into a more compact storage format, occupies less storage space after compression, reduces storage cost, reduces bandwidth consumption of data transmission, and can decompress the compressed data when the policy data is required to be accessed or used, restore the data into an original format, and ensure the integrity and usability of the data.
5. The financial policy data storage system based on the distributed database according to claim 1, wherein the data distributor module analyzes system requirements and business rules, adopts a load balancing algorithm based on policy types, geographic positions and client attributes, formulates corresponding distribution strategies, determines rules and modes of data distribution by the policy data distribution strategies, automatically distributes policy data to appropriate storage nodes, ensures reasonable distribution of the data among different data nodes, dynamically adjusts routing and distribution modes of the data according to factors such as node loads and availability, and realizes load balancing and node fault recovery.
6. The financial policy data storage system based on a distributed database according to claim 1, wherein the data synchronizer module monitors the data change condition in each data node in real time, monitors the data adding, modifying and deleting operations in real time, captures the change event of the data, acquires the latest data update information by monitoring the data change, ensures the data consistency and reliability of different storage nodes, eliminates the influence caused by the data version problem, and prepares for the subsequent operation.
7. The distributed database-based financial policy data storage system according to claim 1, wherein the data security module controls access and operation rights to the policy data storage node through access control and rights management mechanisms, performs authentication and authorization according to user identity, role, rights level, and only authorized users can access corresponding data, and further limits operation rights of users to prevent unauthorized users from modifying or deleting data, and encrypts transmission and storage processes of policy data by using hash encryption algorithm and key management mechanisms to prevent data from being stolen or tampered during transmission.
8. The financial policy data storage system based on the distributed database according to claim 1, wherein the data backup module periodically backs up the financial policy data at the backup storage node according to the system requirement and the data change frequency and a predetermined time interval, and the system maintains data information of a plurality of time points through the periodic backup, when data loss, data damage and system failure occur, the data backup module can restore data from the backup data to a normal operation state, thereby ensuring the reliability and the restorability of the distributed storage system.
9. The financial policy data storage system based on the distributed database according to claim 1, wherein the query engine module supports a plurality of query languages and query modes, provides a flexible query interface to enable a user to quickly search policy data according to various conditions and parameters, analyzes the structure, conditions and association relation of query sentences, determines the most effective query plan, improves query performance and response time by optimizing the query plan, reduces consumption of system resources, supports distributed query processing, distributes query requests to appropriate data nodes, coordinates query operations among the data nodes, improves throughput and concurrency performance of queries by parallel processing and distributed computation, and quickly searches large-scale data.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8639650B1 (en) * | 2003-06-25 | 2014-01-28 | Susan Pierpoint Gill | Profile-responsive system for information exchange in human- and device-adaptive query-response networks for task and crowd management, distributed collaboration and data integration |
| CN106713363A (en) * | 2017-02-27 | 2017-05-24 | 北京亚太东方通信网络有限公司 | Method for constructing interactive network service based on global transmission sharing |
| CN108197260A (en) * | 2017-12-30 | 2018-06-22 | 南京陶特思软件科技有限公司 | A kind of document file management system |
-
2023
- 2023-08-01 CN CN202310956811.8A patent/CN116701407A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8639650B1 (en) * | 2003-06-25 | 2014-01-28 | Susan Pierpoint Gill | Profile-responsive system for information exchange in human- and device-adaptive query-response networks for task and crowd management, distributed collaboration and data integration |
| CN106713363A (en) * | 2017-02-27 | 2017-05-24 | 北京亚太东方通信网络有限公司 | Method for constructing interactive network service based on global transmission sharing |
| CN108197260A (en) * | 2017-12-30 | 2018-06-22 | 南京陶特思软件科技有限公司 | A kind of document file management system |
Non-Patent Citations (1)
| Title |
|---|
| 高应波 等: ""基于双重架构的保险代理业务系统的设计"", 《通信论坛》 * |
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