CN112506925A - Data retrieval system and method based on block chain - Google Patents
Data retrieval system and method based on block chain Download PDFInfo
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- CN112506925A CN112506925A CN202011386523.6A CN202011386523A CN112506925A CN 112506925 A CN112506925 A CN 112506925A CN 202011386523 A CN202011386523 A CN 202011386523A CN 112506925 A CN112506925 A CN 112506925A
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- 238000013500 data storage Methods 0.000 claims abstract description 35
- 238000013075 data extraction Methods 0.000 claims abstract description 27
- 238000010845 search algorithm Methods 0.000 claims abstract description 10
- 238000012216 screening Methods 0.000 claims abstract description 5
- 238000000586 desensitisation Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 3
- 238000013499 data model Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 description 9
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2228—Indexing structures
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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Abstract
The invention discloses a data retrieval system and a method based on a block chain, wherein the system comprises the following steps: the device comprises a data synchronization module, a data extraction module, a data storage module and a data search module. The data synchronization module comprises a block chain non-common node and is used for synchronizing the block chain data; the data extraction module is used for screening and extracting data of the block chain data and constructing attribute graph model data; the data storage module is stored by adopting a graph database and is used for storing the attribute graph model data in the graph database so as to facilitate query analysis; the data search module is used for matching the information inquired by the user, determining a block chain data set which needs to be inquired by the user, and then realizing efficient inquiry by adopting a graph search algorithm of a graph database from the data storage module to obtain a data result. The invention provides a system and a method for searching block chain data, and aims to solve the problems of low data query performance and poor service query flexibility of the conventional block chain system.
Description
Technical Field
The invention belongs to the technical field of computer systems and block chains, and particularly relates to a data retrieval system and method based on a block chain.
Background
The characteristics of multi-center, traceability, non-tampering and the like of the block chain technology can provide credible and reliable rights transfer records. As a new technology, the block chain technology has great application potential in the fields of finance, product traceability, judicial evidence storage, logistics, medical treatment and the like. The financial industry has the characteristics of high trust cost and cooperation cost of participants and high requirements on safety and completeness of transaction records, and is very fit with the application characteristics of the block chain technology, so that the financial field is one of the fields with the most floor projects and the most abundant scenes of the block chain technology. By adopting the block chain technology, various financial assets such as equity, bond, bill and the like can be integrated into a block chain account book to become digital assets on the chain, and the digital assets are stored, transferred and transacted on the block chain, so that the financial transaction becomes convenient, fast and safe.
Due to the data query performance bottleneck of the current blockchain technology, an application system based on the blockchain technology can query data at a blockchain level and a transaction level, the data query capability for a specific service level is very limited, and the list query efficiency is low, for example, for a blockchain system for financial asset circulation service, customer information, asset information and transaction information are registered, a user can query information of a single asset transaction from the system, and query requirements for service analysis such as the whole circulation chain information of assets, asset circulation among customers and the like cannot be realized. On the other hand, data of different block chains are isolated from each other and cannot be communicated with each other, and at present, related data among different block chains are difficult to query.
Disclosure of Invention
The invention aims to provide a data retrieval system and a data retrieval method based on a block chain, and aims to solve the problems of low data query performance and poor service query flexibility of the conventional block chain system.
In one aspect, the present invention provides a data retrieval system based on a blockchain, the system comprising:
the data synchronization module comprises a block chain non-consensus node and is used for synchronizing data of the block chain consensus node in real time and forwarding a transaction request to the consensus node;
the data extraction module firstly acquires the block chain data of the data synchronization module, then performs screening and classification processing on the data, converts the data into attribute graph model data based on a graph structure according to chain division, namely node, relation and attribute ternary group data, and sends the attribute graph model data to the data storage module;
the data storage module is used for storing data;
and the data searching module is used for inquiring and checking the user, matching inquiry information input by the user after the checking is passed, and determining the block chain data set which needs to be inquired by the user, or directly inquiring from the data storage module, or sending an inquiry transaction request to the data synchronization module to acquire corresponding block chain data.
Furthermore, in the data synchronization module, the blockchain non-consensus node is a blockchain node which obtains admission permission of the blockchain network, does not participate in consensus of a specific blockchain network, and is only responsible for synchronously acquiring blockchain data from the blockchain consensus node and forwarding a transaction request sent from the data search module to the blockchain consensus node.
Further, the data extraction module firstly obtains the block chain data of the data synchronization module, the data to be obtained are all stored in a state database (such as leveldb) of the block chain, namely the data are stored in a key value pair key-value mode, the data extraction module carries out attribute graph data model construction after obtaining the data of the block chain key-value, namely node, relation and attribute ternary group data based on a graph structure are constructed, the node and relation type are extracted from the key value in the key-value data according to service meaning, the attribute data are extracted from the value in the key-value data, and the attribute of each node and relation includes the block chain identifier to which the data belong.
Furthermore, the data extraction module performs relevant desensitization processing on the data according to actual needs in the data extraction process, for example, filtering of privacy information such as personal mobile phone numbers and asset amounts of customers, and sends the attribute map model data to the data storage module after extraction is completed.
Further, the data storage module is used for storing attribute graph model data processed by the data extraction module, and the module stores the attribute graph model data by using a mainstream graph database (such as neo4j), and establishes an index for the related service identification information in the data, so that the data search module can query and analyze the data.
Furthermore, the data search module firstly checks the query authority of the user according to the query request of the user, matches the query information input by the user after the check is passed, and quickly queries the block chain data set required to be queried by the user through a graph search algorithm of a graph database from the data storage module to obtain a data result after determining the block chain data set required to be queried by the user.
Further, in the data search module, if the data set to be queried contains the data filtered by the data extraction module, that is, the data which is not stored in the data storage module, the data search module sends a query transaction request to the data synchronization module, and the data synchronization module forwards the transaction to the block chain consensus node, so that the corresponding data is obtained after the transaction is completed.
On the other hand, the invention also provides a data retrieval method based on the block chain, which comprises the following steps:
(1) the data synchronization module synchronizes data in the block chain in real time;
(2) the data extraction module acquires block chain data in the data synchronization module, then screens and classifies the data, constructs attribute graph model data based on a graph structure and sends the attribute graph model data to the data storage module;
(3) the data storage module adopts a graphic database to store attribute graphic model data and establishes a service information index;
(4) the data search module matches the query information input by the user, determines a block chain data set needing to be queried, and then rapidly queries from the data storage module through a graph search algorithm of a graph database to obtain a data result or initiates a query request through the data synchronization module to obtain corresponding block chain data.
The invention has the beneficial effects that: the invention provides a block chain data retrieval system and a block chain data retrieval method, and aims to solve the problems of low data query performance and poor service query flexibility of the conventional block chain system. The method comprises the steps of obtaining data of different block chains through a block chain non-common identification node data synchronization technology, screening and classifying the block chain data, constructing attribute graph model data based on a graph structure, then storing the attribute graph model data by adopting a graph database, analyzing through a graph search algorithm, and returning a block chain data set which needs to be inquired by a user.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a block chain-based data retrieval system according to an embodiment of the present invention;
FIG. 2 is a block chain data-based attribute map model according to an embodiment of the present invention;
fig. 3 is a block chain data retrieval flow chart according to an embodiment of the invention.
Detailed Description
The present invention will be described in further detail with reference to the following drawings and specific embodiments, it being understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
An embodiment of the present invention provides a data retrieval system based on a block chain, where a schematic diagram of a system structure is shown in fig. 1, and the system structure includes:
(1) the data synchronization module comprises a block chain non-consensus node and is used for synchronizing data of the block chain consensus node in real time and forwarding a transaction request to the consensus node;
(2) the data extraction module firstly acquires the block chain data of the data synchronization module, then performs screening and classification processing on the data, converts the data into attribute graph model data based on a graph structure according to chain division, namely node, relation and attribute ternary group data, and sends the attribute graph model data to the data storage module;
(3) the data storage module is used for storing data;
(4) and the data searching module is used for inquiring and checking the user, matching inquiry information input by the user after the checking is passed, and determining the block chain data set which needs to be inquired by the user, or directly inquiring from the data storage module, or sending an inquiry transaction request to the data synchronization module to acquire corresponding block chain data.
In the data synchronization module, the blockchain non-consensus node is a blockchain node which obtains admission permission of the blockchain network, does not participate in consensus of a specific blockchain network, and is only responsible for synchronously acquiring blockchain data from the blockchain consensus node and forwarding a transaction request sent from the data search module to the blockchain consensus node.
In the data extraction module, firstly, the block chain data of the data synchronization module is obtained, the data to be obtained are all stored in a state database (such as leveldb) of the block chain, namely, the data are stored in a key value pair key-value mode, the data extraction module carries out attribute graph data model construction after obtaining the data of the block chain key-value, namely, the data of a node, a relation and an attribute triple are constructed based on a graph structure, the node and the relation type are extracted from the key value in the key-value data according to business meaning, the attribute data are extracted from the value in the key-value data, and the attribute of each node and the attribute of each relation comprise the block chain identification of the data. And performing relevant desensitization treatment on the data according to actual needs in the data extraction process, such as filtering of privacy information such as personal mobile phone numbers and asset amounts of customers, and sending the attribute map model data to a data storage module after the data extraction is finished.
The data storage module is used for storing the attribute graph model data extracted by the data extraction module, and the module adopts a mainstream graph database (such as neo4j) for storage and establishes indexes for the related service identification information in the data so as to facilitate the data search module to query the data.
In the data search module, aiming at a query request of a user, firstly, the query authority of the user is verified, after the verification is passed, the query information input by the user is matched, and after a block chain data set required to be queried by the user is determined, the data storage module rapidly queries through a graph search algorithm of a graph database to obtain a data result. If the data set to be inquired contains the data filtered by the data extraction module, namely the data which is not stored in the data storage module, the data synchronization module sends an inquiry transaction request to the data synchronization module, the data synchronization module forwards the transaction to the block chain consensus node, and corresponding data is obtained after the transaction is completed.
An example of an attribute graph model constructed based on blockchain data is provided in an embodiment of the present invention, as shown in fig. 2, the attribute graph model data is service data extracted from three different financial asset blockchains, where a is a storage and transaction chain of a financial asset a, B is a storage and transaction chain of a financial asset B, C is a storage and transaction chain of a financial asset C, a customer (enterprise) and an asset are extracted from the three chains as node entities, customer information and asset information are used as node attributes, an association relationship and a transaction type between customers are used as relationship entities, and transaction information is used as a relationship attribute, where each node and relationship has an attribute identifying a blockchain to which the node and relationship belong. As shown in FIG. 2, enterprise a, asset A-1, enterprise B, and relationship information between them are from blockchain a, enterprise a, asset B, and relationship information between them are from blockchain B, and enterprise a, enterprise C, asset C, and relationship information between them are from blockchain C. From fig. 2, the circulation information of the assets, the association relationship between the clients, and the service association information in each block chain can be visually seen, and the attribute graph model data is directly stored in the graph database for data query and analysis.
An embodiment of the present invention provides a data retrieval method based on a block chain, as shown in fig. 3, the method includes:
(1) the data synchronization module synchronizes data in the block chain in real time;
(2) the data extraction module acquires block chain data in the data synchronization module, then screens and classifies the data, constructs attribute graph model data based on a graph structure and sends the attribute graph model data to the data storage module;
(3) the data storage module adopts a graphic database to store attribute graphic model data and establishes a service information index;
(4) the data search module matches the query information input by the user, determines a block chain data set needing to be queried, and then rapidly queries from the data storage module through a graph search algorithm of a graph database to obtain a data result or initiates a query request through the data synchronization module to obtain corresponding block chain data.
Taking the simpler attribute graph model constructed based on blockchain data shown in fig. 2 as an example, a user has two query requirements, namely, querying all assets held by enterprise a, and querying transaction information of asset a between enterprise a and enterprise b. Aiming at the first query, a data search module firstly checks the query authority of a user, classifies the query information into all asset information held by an enterprise a in three chains after the verification is passed, and queries a first-degree associated asset node of an enterprise a node in a graph database by adopting a first-degree associated search algorithm of a graph after a query data set is determined to obtain results of an asset A and an asset B; aiming at the second query, the data search module firstly checks the query authority of the user, classifies the query information into transaction associated information of an enterprise a and an enterprise b in an a chain after the verification is passed, queries the path information between an enterprise a node and an enterprise b node by adopting a path search algorithm of a graph after a query data set is determined, and obtains information with the result of containing the whole path, wherein the information comprises that the enterprise a signs an asset A, then the asset A is transferred to the enterprise b, and the transferred asset is the asset A-1. If the user needs to query the information (such as related desensitization information) which is not stored in the data storage module, the query transaction request can be sent to the data synchronization module through the data search module, and the data synchronization module forwards the query transaction request to the corresponding block chain query data result.
The above-described embodiments are intended to illustrate rather than to limit the invention, and any modifications and variations of the present invention are within the spirit of the invention and the scope of the appended claims.
Claims (8)
1. A blockchain-based data retrieval system, the system comprising:
the data synchronization module comprises a block chain non-consensus node and is used for synchronizing data of the block chain consensus node in real time and forwarding a transaction request to the consensus node;
the data extraction module firstly acquires the block chain data of the data synchronization module, then performs screening and classification processing on the data, converts the data into attribute graph model data based on a graph structure according to chain division, namely node, relation and attribute ternary group data, and sends the attribute graph model data to the data storage module;
the data storage module is used for storing data;
and the data searching module is used for inquiring and checking the user, matching inquiry information input by the user after the checking is passed, and determining the block chain data set which needs to be inquired by the user, or directly inquiring from the data storage module, or sending an inquiry transaction request to the data synchronization module to acquire corresponding block chain data.
2. The blockchain-based data retrieval system according to claim 1, wherein in the data synchronization module, the blockchain non-consensus node is a blockchain node that is allowed to be admitted to the blockchain network, and does not participate in consensus of the specific blockchain network, and is only responsible for synchronously acquiring blockchain data from the blockchain consensus node and forwarding the transaction request sent from the data search module to the blockchain consensus node.
3. The system according to claim 1, wherein the data extraction module first obtains blockchain data of the data synchronization module, the data to be obtained are stored in a state database of the blockchain, that is, the data are stored in a key-value pair key-value form, the data extraction module performs attribute graph data model construction after obtaining the data of the blockchain key-value, that is, a node, relationship and attribute triple data based on a graph structure is constructed, the node and relationship types are extracted from the key value in the key-value data according to business meanings, the attribute data is extracted from the value in the key-value data, and each attribute of the node and relationship includes a blockchain identifier to which the data belong.
4. The system according to claim 1, wherein the data extraction module performs a relevant desensitization process on the data according to actual needs during the data extraction process, and sends the data to the data storage module after the attribute map model data extraction is completed.
5. The system according to claim 1, wherein the data storage module is configured to store attribute map model data processed by the data extraction module, and the data storage module is configured to store the attribute map model data by using a graph database and index relevant service identification information in the data, so as to facilitate query analysis by the data search module.
6. The system of claim 1, wherein the data search module checks the query authority of the user for the query request of the user, matches the query information input by the user after the check is passed, and obtains the data result by fast querying from the data storage module through a graph search algorithm of a graph database after determining the data set of the block chain that the user needs to query.
7. The system according to claim 1, wherein in the data search module, if the data set to be queried contains data filtered by the data extraction module, that is, data not stored in the data storage module, the data search module sends a query transaction request to the data synchronization module, and the data synchronization module forwards the transaction to the blockchain consensus node, and acquires the corresponding data after the transaction is completed.
8. A data retrieval method based on the data retrieval system of any one of claims 1 to 7, comprising:
(1) the data synchronization module synchronizes data in the block chain in real time;
(2) the data extraction module acquires block chain data in the data synchronization module, then screens and classifies the data, constructs attribute graph model data based on a graph structure and sends the attribute graph model data to the data storage module;
(3) the data storage module adopts a graphic database to store attribute graphic model data and establishes a service information index;
(4) the data search module matches the query information input by the user, determines a block chain data set needing to be queried, and then rapidly queries from the data storage module through a graph search algorithm of a graph database to obtain a data result or initiates a query request through the data synchronization module to obtain corresponding block chain data.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110990878A (en) * | 2019-12-13 | 2020-04-10 | 支付宝(杭州)信息技术有限公司 | Construction method of private data derivative graph |
| CN113328920A (en) * | 2021-08-04 | 2021-08-31 | 成都飞机工业（集团）有限责任公司 | Method for collecting and storing equipment data |
| CN114095373A (en) * | 2021-10-29 | 2022-02-25 | 浙商银行股份有限公司 | Knowledge graph-based alliance chain management method, system, equipment and storage medium |
| CN115017234A (en) * | 2022-06-29 | 2022-09-06 | 贵州财经大学 | Block chain information management system, block chain information storage and query method |
| WO2023134274A1 (en) * | 2022-01-11 | 2023-07-20 | 广州广电运通金融电子股份有限公司 | Block chain transaction data retrieval system, method, device, and storage medium |
| CN114095373B (en) * | 2021-10-29 | 2024-04-19 | 浙商银行股份有限公司 | Knowledge graph-based alliance chain management method, system, equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107018125A (en) * | 2017-02-17 | 2017-08-04 | 阿里巴巴集团控股有限公司 | A kind of block catenary system, date storage method and device |
| CN109388643A (en) * | 2018-10-26 | 2019-02-26 | 陕西医链区块链集团有限公司 | A kind of rapid data searching system and method based on block chain |
| CN109408594A (en) * | 2018-10-26 | 2019-03-01 | 陕西医链区块链集团有限公司 | A kind of across chain data retrieval system and method based on block chain |
| CN111177202A (en) * | 2019-12-13 | 2020-05-19 | 浙商银行股份有限公司 | Supply chain financial system data query optimization method and platform based on block chain |
| CN113961598A (en) * | 2021-10-25 | 2022-01-21 | 中国科学院沈阳计算技术研究所有限公司 | Novel high-speed retrieval model for data on block chain |
-
2020
- 2020-12-01 CN CN202011386523.6A patent/CN112506925A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107018125A (en) * | 2017-02-17 | 2017-08-04 | 阿里巴巴集团控股有限公司 | A kind of block catenary system, date storage method and device |
| CN109388643A (en) * | 2018-10-26 | 2019-02-26 | 陕西医链区块链集团有限公司 | A kind of rapid data searching system and method based on block chain |
| CN109408594A (en) * | 2018-10-26 | 2019-03-01 | 陕西医链区块链集团有限公司 | A kind of across chain data retrieval system and method based on block chain |
| CN111177202A (en) * | 2019-12-13 | 2020-05-19 | 浙商银行股份有限公司 | Supply chain financial system data query optimization method and platform based on block chain |
| CN113961598A (en) * | 2021-10-25 | 2022-01-21 | 中国科学院沈阳计算技术研究所有限公司 | Novel high-speed retrieval model for data on block chain |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110990878A (en) * | 2019-12-13 | 2020-04-10 | 支付宝(杭州)信息技术有限公司 | Construction method of private data derivative graph |
| CN110990878B (en) * | 2019-12-13 | 2021-09-28 | 支付宝(杭州)信息技术有限公司 | Construction method of private data derivative graph |
| CN113328920A (en) * | 2021-08-04 | 2021-08-31 | 成都飞机工业（集团）有限责任公司 | Method for collecting and storing equipment data |
| CN113328920B (en) * | 2021-08-04 | 2021-10-29 | 成都飞机工业（集团）有限责任公司 | Method for collecting and storing equipment data |
| CN114095373A (en) * | 2021-10-29 | 2022-02-25 | 浙商银行股份有限公司 | Knowledge graph-based alliance chain management method, system, equipment and storage medium |
| CN114095373B (en) * | 2021-10-29 | 2024-04-19 | 浙商银行股份有限公司 | Knowledge graph-based alliance chain management method, system, equipment and storage medium |
| WO2023134274A1 (en) * | 2022-01-11 | 2023-07-20 | 广州广电运通金融电子股份有限公司 | Block chain transaction data retrieval system, method, device, and storage medium |
| CN115017234A (en) * | 2022-06-29 | 2022-09-06 | 贵州财经大学 | Block chain information management system, block chain information storage and query method |
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Application publication date: 20210316 |
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