CN112699170B - Query method and system based on multi-source data structure block chain - Google Patents
Query method and system based on multi-source data structure block chain Download PDFInfo
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Abstract
The invention provides a query method and a query system based on a multi-source data structure block chain. According to the information condition of the local account book of the block chain, which needs to be loaded, a matching data structure which is suitable for the storage requirement and the subsequent query requirement of the information is selected; distributing said information to data processing nodes applying the matching data structure; the distributed data processing nodes convert the information into blocks according to a matching data structure; and linking, by the data processing node, the block to a local ledger by hash header validation; sharing the updated local account book among distributed nodes of the block chain, and forming consensus on the updated local account book; and obtaining the data processing node to which the information is distributed by the distributed node according to a local ledger, and inquiring the distributed data processing node about the information. The invention increases the compatibility of the multi-source data structure, overcomes the limitation of the account book structure and the consensus mechanism solidification of the block chain, and enhances the flexibility and the applicability.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a query method and a query system based on a multi-source data structure block chain.
Background
In many scenarios, such as e-commerce, internet finance, etc., highly reliable, tamper-resistant, traceable information query mechanisms are needed, such as validating transaction records, invoking credit information, etc. The process involves links such as transmission, interaction, response, storage and the like of data information, and because the links are realized by means of the Internet, a robust, reliable and safe network architecture is the fundamental guarantee thereof.
The traditional network architecture uses a background server of a related platform as a central node. All information is stored on the background server, the central node responds to the query request, and interacts with the terminal node serving as a request party to transmit the requested information. Although various network security and security facilities exist for the central node, the central node is still vulnerable to network attacks, and once a problem occurs, the central node causes abnormality and paralysis of the whole system and even leakage of confidential information.
The block chain is a decentralized network architecture, namely the central node in the traditional network architecture is cancelled, each terminal distributed over the network is used as an equal distributed node, all information is shared among all distributed nodes, each distributed node stores a local account book containing all information, the distributed nodes transmit information with each other, and the distributed nodes unify the respective local account books based on a consensus mechanism under the rules of POW and the like.
Therefore, the block chain technology fundamentally solves the adverse effect caused by the operation of the traditional network mechanism taking the central nodes such as the background server and the like as the core, for example, all distributed nodes have consistent local accounts, and the problem that the whole network system is paralyzed due to the attack of one or some nodes does not exist. The local account book adopts a HASH (HASH) tree structure, information is stored by taking a block as a unit, verification is carried out by a multi-level HASH head, and the information cannot be falsified and counterfeited due to the fact that a distributed node of the whole network corresponds to a unique local account book through a consensus mechanism. Therefore, the network architecture based on the block chain is applied to scenes such as electronic commerce, internet finance, mobile payment and the like, realizes an information query mechanism with high reliability, tamper resistance and traceability, and has the advantages of robustness, credibility and fairness.
The local ledgers of the blockchain are linked together by individual blocks (blocks) based on hash header verification and are shared by the distributed nodes. In the process of adding a new block to the account book, the new block also has verification information contained in a Hash Head (Hash Head) in addition to the main body information, and the new block and the existing block of the local account book are linked together through the Hash Head. In the process of linking the new block to the local account book, a consensus process among the distributed nodes exists, the distributed nodes can only form consensus on the only local account book version finally according to a preset rule, and then the local account book after the consensus authentication is mutually transmitted and shared by all the distributed nodes to form the basis of information query. Therefore, the data size and the data format of each block in the local account book of the block chain are relatively fixed, the common identification authentication also causes the data organization mode and the updating mechanism of the local account book to be rather fixed and inefficient, and the fixed condition is not suitable for the information storage and query requirements of high concurrency, strong real-time performance and large data load in many application scenarios.
Therefore, in practical applications, the blockchain network architecture currently realizes large-scale commercialization only in a few scenarios such as virtual currency transactions, and other application scenarios cannot be popularized in a concept design stage or after trial use. One important problem is that the data structure of the current account book serving as the essential basis of the block chain and the consensus mechanism thereof are relatively solidified, and cannot well meet the requirements of information storage and query in various application scenarios.
Disclosure of Invention
In view of the foregoing problems, it is an object of the present invention to provide a query method and system based on a multi-source data structure block chain.
The invention provides a query method based on a multisource data structure block chain, which is characterized by comprising the following steps of:
selecting a matching data structure which is suitable for the storage requirement and the subsequent query requirement of the information according to the condition of the information which needs to be loaded into the local account book of the block chain;
distributing said information to data processing nodes applying the matching data structure;
the distributed data processing nodes convert the information into blocks according to a matching data structure; and linking, by the data processing node, the block to a local ledger by hash header validation;
sharing the updated local account book among distributed nodes of the block chain, and forming consensus on the updated local account book;
and obtaining the data processing node to which the information is distributed by the distributed node according to a local ledger, and inquiring the distributed data processing node about the information.
Preferably, the data processing node calculates a token value uniquely corresponding to the information in accordance with the matching data structure, and writes the token value in one or more blocks as the subject information in accordance with a writing rule of the blocks.
Preferably, a token value uniquely corresponding thereto is calculated from said information by said data processing node based on one or more levels of hash calculation.
Preferably, the matching data structure is determined according to the data type, data format and data magnitude of the information and the feedback real-time requirement of the information on data query; and processing the information into the matching data structure by the data processing node to which the matching data structure is applied, and storing the matching data structure corresponding to the information at the data processing node.
Preferably, the information is mapped to a corresponding structure section of the matching data structure based on the matching data structure according to the data type, data format and data magnitude of the information and the feedback real-time requirement of the information on data query, and the information is encapsulated into a data unit corresponding to the matching data structure section.
Preferably, after the information is encapsulated into the data units, the block translation cost of each data unit is evaluated, and the block translation costs of all data units of the information are equalized.
Preferably, the distributed node obtains a check value through one-stage or multi-stage hash calculation on the information queried from the allocated data processing node, and verifies the check value by using a corresponding token value stored in a block in the local ledger.
In order to implement the above method, the present invention provides a query system based on a multi-source data structure block chain, which is characterized in that the query system comprises: a multi-source scheduling layer, a block chain layer and an inquiry service layer;
wherein the multi-source scheduling layer comprises: the system comprises a data source interface module, a block chain local account book loading module and a block chain local account book loading module, wherein the data source interface module is used for obtaining information to be loaded into the block chain local account book from one or more data sources; the information analysis module is used for selecting a matching data structure which is suitable for the storage requirement and the subsequent query requirement of the information according to the condition of the information which needs to be loaded into the local account book of the block chain; an allocation module for allocating said information to data processing nodes applying the matching data structure;
the block chain layer comprises a certain number of distributed nodes, and the distributed nodes share a local account book; in addition, in the process of adding a new block to the local account book, the new block is linked with the existing block of the local account book through the Hash head verification information, and the distributed node forms consensus on the unique local account book version according to a preset rule;
and a part of the distributed nodes are data processing nodes; the distributed data processing nodes convert the information into blocks according to a matching data structure; and linking the block to a local ledger by hash header verification; sharing the updated local account book among the distributed nodes of the block chain, and forming consensus on the updated local account book;
and the distributed node is used for acquiring the data processing node to which the information is distributed according to the local account book and inquiring the distributed data processing node about the information.
Preferably, the data processing node calculates a token value uniquely corresponding to the information in accordance with the matching data structure, and writes the token value in one or more blocks as the subject information in accordance with a writing rule of the blocks.
Preferably, the data processing node calculates a token value uniquely corresponding thereto from the information based on one or more levels of hash calculation.
Preferably, the information analysis module determines the matching data structure according to the data type, data format and data magnitude of the information and the feedback real-time requirement of the information on data query; and, the data processing node to which the matching data structure is applied processes the information into the matching data structure, and stores the matching data structure corresponding to the information at the data processing node.
Preferably, the data processing node maps the information to a corresponding structure segment of the matching data structure based on the matching data structure according to the data type, data format and data magnitude of the information and the feedback real-time requirement of the information on data query, and then encapsulates the information into a data unit corresponding to the matching data structure segment.
Preferably, after the information is encapsulated into the matching data structure segment, the data processing node evaluates the block translation cost of each data unit, and balances the block translation costs of all data units of the information.
Preferably, the distributed node obtains a check value through one-stage or multi-stage hash calculation for the information queried from the allocated data processing node, and verifies the check value by using a corresponding token value stored in a block in the local ledger.
The invention has the beneficial effects that: firstly, the compatibility of a multi-source data structure can be increased, a matching data structure is adaptively selected according to the requirements of an application scene and the characteristics of a source data structure, block conversion is carried out, and then the block is brought into a local account book of a block chain, so that the advantages of decentralization, difficult attack and no tampering of the block chain network system are enjoyed, meanwhile, the limitation of the account book structure and consensus mechanism solidification of the block chain to practical application is overcome, and the flexibility and the applicability are enhanced; and the data processing node can realize the structured packaging of information based on the matching data structure, thereby realizing the equalization of block conversion.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a query method for a multi-source data structure block chain according to an embodiment of the present invention;
fig. 2 is a specific structural block diagram of a service gateway node according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Referring to fig. 1, the query method based on the multi-source data structure block chain provided by the present invention is characterized by comprising the following steps:
s101: selecting a matching data structure which is suitable for the storage requirement and the subsequent query requirement of the information according to the condition of the information which needs to be loaded into the local account book of the block chain;
s102: distributing said information to data processing nodes applying the matching data structure;
s103: the distributed data processing nodes convert the information into blocks according to a matching data structure; and linking, by the data processing node, the block to a local ledger by hash header validation;
s104: sharing the updated local account book among the distributed nodes of the block chain, and forming consensus on the updated local account book;
s105: and obtaining the data processing node to which the information is distributed by the distributed node according to a local ledger, and inquiring the distributed data processing node about the information.
In the invention, the information to be loaded into the local account book of the block chain is obtained from one or more data sources, wherein the data sources can be e-commerce platforms, internet financial platforms, credit information platforms and the like, the information obtained from the data sources can record the data of types such as transactions, account balance, personal credit and the like, and the format of the information can be text data, metadata of XML or other markup languages, form data, even media format data such as images and the like.
In S101, a matching data structure suitable for the storage requirement and the subsequent query requirement of the information is selected according to the condition of the information that needs to be loaded into the local account book of the block chain. In this step, a plurality of matching data structures may be preset, each matching data structure having its own structure segment, so that the information may be mapped to data units corresponding to the structure segments in the matching data structure after the encapsulation is completed. Furthermore, a matching data structure, the setting of which conforms to the data type, data format, data magnitude and query feedback real-time requirement of the information, can be determined according to the data type, data format and data magnitude of the information and the feedback real-time requirement of the information on data query.
S102: the information is distributed to the data processing nodes to which the matching data structure applies. As will be explained below, the blockchain network structure of the present invention has dedicated data processing nodes, each having its own suitable matching data structure. Therefore, in this step, according to the matching data structure that is selected in step S101 and that is adapted to the information storage requirement and the subsequent query requirement, the information is distributed and transmitted to the data processing node that applies the matching data structure. Furthermore, the data processing node to which the matching data structure is applied maps the information to a corresponding structure segment of the matching data structure based on the matching data structure, and then packages the information into a data unit corresponding to the matching data structure segment, thereby processing the information into the matching data structure, and stores the matching data structure corresponding to the information in the data processing node.
S103: the distributed data processing nodes convert the information into blocks according to a matching data structure; and linking, by the data processing node, the block to a local ledger by hash header verification. And the data processing node calculates a characteristic value uniquely corresponding to each data unit packaged by the information according to a matching data structure, and writes the characteristic value into one or more blocks according to the writing rule of the blocks as main information. The data processing unit may perform hash calculation on data of the data unit to obtain a unique corresponding token value for each data unit encapsulated by the information, or perform second-level hash calculation on hash calculation results of all the data units on the basis of performing hash calculation on data of the data unit to obtain a hash calculation result, so as to obtain a unique corresponding token value, or so on to implement multi-level hash calculation. Obviously, the above hash calculation consumes a certain overhead, and therefore, after the information is packaged into data units, the block conversion overhead of each data unit is evaluated, and the block conversion overheads of all the data units of the information are equalized.
S104: and sharing the updated local account book among the distributed nodes of the block chain, and forming consensus on the updated local account book. As described above, each block of the local ledger has a characteristic value of a data unit encapsulated by information, and a data processing node to which information is allocated for encapsulation and storage can also be obtained by the block in the local ledger. When any one distributed node wants to inquire the related content of the information, a query request can be sent to the data processing node corresponding to the information, and the data unit of the information is obtained under the condition of obtaining permission.
S105: and the distributed node obtains a check value for the data unit of the information inquired from the distributed data processing node through one-stage or multi-stage Hash calculation, and verifies the check value by using the corresponding characteristic value stored in the block in the local account book. Therefore, by using the representation value in the local account book block, the verification is performed on the data unit of the information inquired from the data processing node, and the non-tamper property of the information is ensured.
In order to implement the above method, as shown in fig. 2, the present invention provides a query system based on a multi-source data structure block chain, including: a multi-source scheduling layer 1, a block chain layer 2 and an inquiry service layer 3.
Wherein the multi-source scheduling layer 1 includes: the data source interface module 101 is configured to obtain information to be loaded into a local ledger of a blockchain from one or more data sources; the information analysis module 102 is configured to select a matching data structure that is suitable for a storage requirement of the information and a subsequent query requirement according to a condition of the information that needs to be loaded into the local account book of the block chain; an assigning module 103 for assigning said information to the data processing node applying the matching data structure. The information analysis module 102 determines the matching data structure according to the data type, data format and data magnitude of the information and the feedback real-time requirement of the information on data query; and, the data processing node to which the matching data structure is applied processes the information into the matching data structure, and stores the matching data structure corresponding to the information at the data processing node.
The block chain layer 2 comprises a certain number of distributed nodes 201, and the distributed nodes share a local account book; and the process of adding a new block to the local ledger links the new block with an existing block of the local ledger by means of hash header verification information, and the distributed node forms a consensus on the unique local ledger version according to a predetermined rule.
And a portion of distributed nodes 201 are data processing nodes 202. The data processing node 202 maps the information to a corresponding structure segment of the matching data structure based on the matching data structure according to the data type, data format and data magnitude of the information and the feedback real-time requirement of the information on data query, and further encapsulates the information into a data unit corresponding to the matching data structure segment. Wherein, the allocated data processing node 202 converts the information into blocks according to a matching data structure; and linking the block to a local ledger by hash header verification; and sharing the updated local account book among the distributed nodes of the block chain, and forming consensus on the updated local account book. The data processing node 202 calculates a token value uniquely corresponding to the information according to the matching data structure, and writes the token value into one or more blocks as subject information according to the writing rule of the blocks. After the information is encapsulated into the matching data structure segment, the data processing node 202 evaluates the block translation cost of each data unit, and balances the block translation costs of all data units of the information.
The distributed node 201 is configured to obtain the data processing node 202 to which the information is distributed according to the local ledger, and query the distributed data processing node for the information through a query interaction channel provided by the query service layer 3. The distributed node 201 obtains a check value through one-stage or multi-stage hash calculation for the information queried from the allocated data processing node, and verifies the check value by using a corresponding token value stored in a block in the local book.
The invention has the beneficial effects that: firstly, the compatibility of a multi-source data structure can be increased, a matching data structure is adaptively selected according to the requirements of an application scene and the characteristics of a source data structure, block conversion is carried out, and then the block is brought into a local account book of a block chain, so that the advantages of decentralization, difficult attack and no tampering of the block chain network system are enjoyed, meanwhile, the limitation of the account book structure and consensus mechanism solidification of the block chain to practical application is overcome, and the flexibility and the applicability are enhanced; and the data processing node can realize the structured packaging of information based on the matching data structure, thereby realizing the equalization of block conversion.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. A query method based on a multi-source data structure block chain is characterized by comprising the following steps:
selecting a matching data structure which is suitable for the storage requirement and the subsequent query requirement of the information according to the condition of the information which needs to be loaded into the local account book of the block chain;
distributing said information to data processing nodes applying the matching data structure;
the distributed data processing nodes convert the information into blocks according to a matching data structure; and linking, by the data processing node, the block to a local ledger by hash header validation;
sharing the updated local account book among the distributed nodes of the block chain, and forming consensus on the updated local account book;
obtaining, by the distributed node, a data processing node to which the information is distributed according to a local ledger, and querying the distributed data processing node for the information;
determining the matching data structure according to the data type, data format and data magnitude of the information and the feedback real-time requirement of the information on data query; and processing the information into the matching data structure by the data processing node to which the matching data structure is applied, and storing the matching data structure corresponding to the information at the data processing node;
and mapping the information to a corresponding structure section of the matched data structure based on the matched data structure according to the data type, the data format and the data magnitude of the information and the feedback real-time requirement of the information on data query, and further packaging the information into a data unit corresponding to the matched data structure section.
2. The multi-source data structure block chain-based query method according to claim 1, wherein the data processing node calculates a token value uniquely corresponding to the information according to the matching data structure, and writes the token value into one or more blocks as main information according to a block writing rule.
3. The multi-source data structure block chain-based query method of claim 2, wherein the token value uniquely corresponding thereto is calculated from the information by the data processing node based on one or more levels of hash calculation.
4. The multi-source data structure block chain-based query method of claim 1, wherein the distributed nodes obtain check values through one-stage or multi-stage hash calculation for the information queried from the allocated data processing nodes, and verify the check values by using corresponding token values stored in the blocks in the local ledger.
5. A query system based on a multi-source data structure blockchain, comprising: a multi-source scheduling layer, a block chain layer and an inquiry service layer;
wherein the multi-source scheduling layer comprises: the system comprises a data source interface module, a block chain local account book loading module and a block chain local account book loading module, wherein the data source interface module is used for obtaining information to be loaded into the block chain local account book from one or more data sources; the information analysis module is used for selecting a matching data structure which is suitable for the storage requirement and the subsequent query requirement of the information according to the condition of the information which needs to be loaded into the local account book of the block chain; an allocation module for allocating said information to data processing nodes applying the matching data structure;
the block chain layer comprises a certain number of distributed nodes, and the distributed nodes share a local account book; in addition, in the process of adding a new block to the local account book, the new block is linked with the existing block of the local account book through the Hash head verification information, and the distributed node forms consensus on the unique local account book version according to a preset rule;
and a part of the distributed nodes are data processing nodes; the distributed data processing nodes convert the information into blocks according to a matching data structure; and linking the block to a local ledger by hash header verification; sharing the updated local account book among the distributed nodes of the block chain, and forming consensus on the updated local account book;
the distributed node is used for acquiring the data processing node to which the information is distributed according to a local account book and inquiring the information from the distributed data processing node;
determining the matching data structure according to the data type, data format and data magnitude of the information and the feedback real-time requirement of the information on data query; and processing the information into the matching data structure by the data processing node to which the matching data structure is applied, and storing the matching data structure corresponding to the information at the data processing node;
and mapping the information to a corresponding structure section of the matched data structure based on the matched data structure according to the data type, the data format and the data magnitude of the information and the feedback real-time requirement of the information on data query, and packaging the information into a data unit corresponding to the matched data structure section.
6. The multi-source data structure block chain-based query system of claim 5, wherein the data processing node calculates a token value uniquely corresponding to the information according to the matching data structure, and writes the token value into one or more blocks as subject information according to a writing rule of the blocks.
7. The multi-source data structure block chain-based query system of claim 6, wherein the data processing node calculates a token value uniquely corresponding to the information according to the matching data structure, and writes the token value into one or more blocks as subject information according to a writing rule of the blocks.
8. The multi-source data structure block chain-based query system of claim 7, wherein: the data processing node calculates from the information a token value uniquely corresponding thereto based on one or more levels of hash calculation.
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