WO2022048589A1

WO2022048589A1 - Data acquisition method, apparatus and device, and medium

Info

Publication number: WO2022048589A1
Application number: PCT/CN2021/116184
Authority: WO
Inventors: 何朔; 许玉壮; 周钰; 杨洁
Original assignee: 中国银联股份有限公司
Priority date: 2020-09-03
Filing date: 2021-09-02
Publication date: 2022-03-10
Also published as: TW202211047A; CN112084234A; TWI797738B

Abstract

A data acquisition method, apparatus and device, and a medium. The method comprises: a blockchain node constructing a data query request on the basis of acquired data query information and by means of an intelligent contract, wherein the data query request carries the data query information; the blockchain node directly sending the data query request to an out-of-chain data source associated with the data query information; the out-of-chain data source receiving the data query request sent by the blockchain node, and the out-of-chain data source obtaining a data query result on the basis of the data query request; the out-of-chain data source sending the data query result to the blockchain node; and the blockchain node receiving the data query result sent by the out-of-chain data source. The complexity of accessing out-of-chain data by a blockchain node is reduced.

Description

Data acquisition method, apparatus, device and medium

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the priority of Chinese Patent Application No. 202010914632.4 filed on September 3, 2020, entitled "Data Acquisition Method, Apparatus, Equipment and Medium", the entire content of which is incorporated herein by reference.

technical field

The present application relates to the field of data services, and in particular, to a data acquisition method, apparatus, device and medium.

Background technique

Blockchain technology (also known as distributed ledger technology) is a decentralized distributed database technology, which has the characteristics of decentralization, openness, transparency, non-tampering, and trustworthiness. In application scenarios with high demands on data reliability.

In some application scenarios, blockchain nodes need to access off-chain data. At present, if a blockchain node wants to access off-chain data, it needs to deploy an oracle client or an oracle network separately outside the chain, which is highly complex.

SUMMARY OF THE INVENTION

The present application provides a data acquisition method, device, device and medium, which can solve the problem of high complexity when a blockchain node wants to access data outside the chain.

In the first aspect, the present application provides a data acquisition method, which is applied to a blockchain node, including:

Based on the obtained data query information, a data query request is constructed through a smart contract, and the data query request carries the data query information;

Send a data query request directly to the off-chain data source associated with the data query information, so that the off-chain data source can obtain the data query result based on the data query request;

Receive data query results sent by data sources outside the chain.

In the second aspect, the present application provides a data acquisition method, which is applied to an off-chain data source, including:

Receive the data query request sent by the blockchain node. The data query request is constructed by the blockchain node based on the acquired data query information through smart contracts, and the data query request carries the data query information;

Based on the data query request, obtain the data query result;

Send data query results to blockchain nodes.

In a third aspect, the present application provides a data acquisition device, which is applied to a blockchain node, including:

The data query request building module is used to construct a data query request through a smart contract based on the acquired data query information, and the data query request carries the data query information;

The data query request sending module is used to directly send a data query request to the off-chain data source associated with the data query information, so that the off-chain data source can obtain the data query result based on the data query request;

The data query result receiving module is used to receive the data query result sent by the data source outside the chain.

In a fourth aspect, the present application provides a data acquisition device, which is applied to an off-chain data source, including:

The data query request receiving module is used to receive the data query request sent by the blockchain node. The data query request is constructed by the blockchain node based on the acquired data query information through smart contracts, and the data query request carries the data query information;

The data query result determination module is used to obtain the data query result based on the data query request;

The data query result sending module is used to send the data query result to the blockchain node.

In a fifth aspect, the present application provides a data acquisition device, the device includes: a processor and a memory storing computer program instructions;

When the processor executes the computer program instructions, the data acquisition method provided in the first aspect or the second aspect is implemented.

In a sixth aspect, the present application provides a computer storage medium, where computer program instructions are stored thereon, and when the computer program instructions are executed by a processor, the data acquisition method provided in the first or second aspect above is implemented.

According to the data acquisition method, device, device, and computer storage medium of the embodiments of the present application, the blockchain node can construct a data query request based on the acquired data query information through a smart contract, and can directly send out-of-chain requests related to the data query information. The data source sends a data query request to obtain the data query result. It does not need to establish a separate oracle client or oracle network, but obtain the required data through direct communication between the blockchain node and the off-chain data source, thereby reducing the cost of The complexity of blockchain nodes accessing off-chain data.

Description of drawings

In order to illustrate the technical solutions of the embodiments of the present application more clearly, the following briefly introduces the accompanying drawings that need to be used in the embodiments of the present application. For those of ordinary skill in the art, without creative work, the Additional drawings can be obtained from these drawings.

1 is an architecture diagram of an example of a data acquisition system provided by the present application;

2 is a schematic flowchart of an embodiment of a data acquisition method provided by the present application;

3 is a schematic flowchart of another embodiment of the data acquisition method provided by the present application;

4 is a schematic flowchart of another embodiment of a data acquisition method provided by the present application;

5 is a schematic flowchart of still another embodiment of a data acquisition method provided by the present application;

6 is a schematic structural diagram of an embodiment of a data acquisition device provided by the present application;

7 is a schematic structural diagram of another embodiment of a data acquisition device provided by the present application;

FIG. 8 is a schematic diagram of a hardware structure of an embodiment of a data acquisition device provided by the present application.

detailed description

The features and exemplary embodiments of various aspects of the present application will be described in detail below. In order to make the purpose, technical solutions and advantages of the present application more clear, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only configured to explain the present application, and are not configured to limit the present application. It will be apparent to those skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely to provide a better understanding of the present application by illustrating examples of the present application.

It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any relationship between these entities or operations. any such actual relationship or sequence exists. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device that includes a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus. Without further limitation, an element defined by the phrase "comprises" does not preclude the presence of additional identical elements in a process, method, article, or device that includes the element.

For a better understanding of the present application, the data acquisition method, device and system provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings. It should be noted that these embodiments are not intended to limit the scope of the disclosure of the present application.

An oracle is a tool that can truly input off-chain data into the blockchain and ensure the authenticity of the data on the blockchain. At present, technologies such as oracles are rapidly attracting the attention of all parties in the technology and industry. Among them, the oracle technology opens up the space inside and outside the chain, which can greatly empower the blockchain and promote the implementation of all aspects of the blockchain. . However, at present, if blockchain nodes want to access off-chain data, they need to deploy the oracle client or oracle network separately outside the chain, which is highly complex.

Based on this, the data acquisition method, device, device and medium provided by this application reduce the complexity of the blockchain node acquiring data from outside the chain by directly establishing the communication between the blockchain node and the data source outside the chain. The following describes in detail with reference to the accompanying drawings and embodiments.

FIG. 1 is an architecture diagram of an example of a data acquisition system provided by the present application. As shown in FIG. 1 , the data acquisition system provided by this application includes a client 11 , a blockchain node 12 and an off-chain data source 13 .

In the embodiment of the present application, the client 11 sends data query information to the blockchain node 12 . In some embodiments, the data query information may include the query index of the data to be queried in the off-chain data source 13 . After receiving the data query information, the blockchain node 12 constructs a data query request through a smart contract based on the obtained data query information. The data query request carries data query information. The blockchain node 12 directly sends a data query request to the off-chain data source 13 associated with the data query information. The off-chain data source 13 receives the data query request sent by the blockchain node 12 . The off-chain data source 13 performs a query based on the received data query request to obtain a data query result. The off-chain data source 13 sends the data query result to the blockchain node 12, so that the blockchain node 12 can read data from outside the chain.

In the embodiment of the present application, the off-chain data source 13 may be a server that provides off-chain data.

In the embodiment of the present application, the blockchain node 12 can construct a data query request based on the acquired data query information through a smart contract, and can directly send the data query request to the off-chain data source 13 associated with the data query information to To obtain the data query results, it is not necessary to establish the oracle client 11 or the oracle network separately, but to obtain the required data through the direct communication between the blockchain node 12 and the off-chain data source 13, thereby reducing the number of blockchain nodes 12. The complexity of accessing off-chain data.

FIG. 2 is a schematic flowchart of an embodiment of a data acquisition method provided by the present application. The data acquisition method 200 provided in this application may be executed by the blockchain node 12 shown in FIG. 1 .

As shown in Figure 2, the data acquisition method 200 includes the following steps:

Step 210, based on the acquired data query information, construct a data query request through a smart contract, and the data query request carries the data query information;

Step 220, directly sending a data query request to an off-chain data source associated with the data query information, so that the off-chain data source obtains a data query result based on the data query request;

Step 230: Receive the data query result sent by the data source outside the chain.

The specific implementation manners of steps 210 to 230 are respectively introduced below.

Referring to step 210 , in some embodiments, the data query information includes a query index in the off-chain data source 13 . For example, the query index includes the query condition or the storage address of the data source 13 outside the chain.

In the embodiment of the present application, since the data query information includes the query index in the off-chain data source 13, the data query request constructed by the data query information can be directly sent to the off-chain data source 13, so as to realize the off-chain data Direct communication between source 13 and blockchain node 12.

In some embodiments, the blockchain nodes 12 can perform model training online, thus requiring training sample data. However, if the training sample data is stored in the blockchain node 12, it will take up a lot of storage space, and it will also leave hidden dangers for data security. Therefore, the training data can be stored in the off-chain data source 13 in advance. When model training is required, the blockchain node 12 can query the training data from the off-chain data source 13 in response to the data query information sent by the client 11 . In some embodiments, the client 11 may obtain the storage address of each training data in the off-chain data source 13 in advance, and use the storage address as data query information.

In some embodiments of the present application, since the training data is pre-collected data, trusted data is queried based on the storage address of the training data uploaded by the client 11 .

In some embodiments, the off-chain data source 13 may provide data access services in the manner of Hyper Text Transfer Protocol over SecureSocket Layer (HTTPS). Therefore, a data query request can be constructed based on the storage address in the data query request through a smart contract, and the data query request can be an HTTPS request address carrying the storage address.

In other embodiments, it is assumed that the smart contract needs to trigger the next action according to the target data, but sending the target data directly through the client 11 may not be trusted. For example, the smart contract needs to trigger the next action according to the payment result, but the payment result directly sent by the transaction sender is not credible, while the data from the off-chain data source 13 is more credible. Therefore, the data query information includes the query conditions of the data source 13 outside the chain. For example, the data query information includes the payment serial number, that is, the query condition is the payment serial number.

In some embodiments of the present application, if the query index includes query conditions, step 210 includes: constructing a data query request through a smart contract based on the obtained query conditions and the pre-stored query address of the off-chain data source 13 .

In the embodiment of the present application, if the trusted data needs to be queried from the off-chain data source 13, and the query index is the query condition of the data to be queried, the query address of the off-chain data source 13 needs to be obtained to realize the Query of off-chain data.

In some embodiments, if the bank payment result needs to be inquired, the inquiry address of the off-chain data source 13 may be the bank payment result inquiry address pre-registered in the blockchain node 12 . The smart contract can construct a data query request based on the received payment account and the pre-registered bank payment result query address.

In other embodiments of the present application, the data query information further includes a query authorization signature. The query authorization signature is used for obtaining the data query result based on the data query request when the off-chain data source 13 passes the verification of the query authorization signature.

In the embodiment of the present application, the client 11 can sign the data query information based on the public and private keys obtained from the off-chain data source 13 in advance, and then the query authorization signature can be obtained.

In the embodiment of the present application, the query authorization signature included in the data query information is for verification by the off-chain data source 13 . Only when the off-chain data source 13 passes the verification of the query authorization signature, will the query be performed based on the data query request, which can improve the security of the data query.

It should be noted that, if the data query information includes the query index and the query authorization signature in the off-chain data source 13, the smart contract will construct a data query request based on the query index and the query authorization signature.

As some examples, if the query index includes a storage address in the off-chain data source 13, the smart contract may carry a query authorization signature in the HTTPS request address generated based on the storage address.

The specific implementation manner of step 220 is described below.

In step 210 , the data query information is included in the query index in the off-chain data source 13 . That is, the data query information itself is the information related to the off-chain data source 13 . Therefore, through the data query information, the off-chain data source 13 that needs to send the data query request can be obtained.

As some examples, if the data query information includes the storage address of the off-chain data source 13, the off-chain data source 13 associated with the information can be acquired based on the data query information.

As another example, if the data query information includes a query condition, then based on the pre-registered query address associated with the query condition, the address of the off-chain data source 13 can be obtained.

After acquiring the data query request, the blockchain node 12 may directly send the data query request to the off-chain data source 13 associated with the data query information.

Involving step 230, after the off-chain data source 13 obtains the data query result based on the data query request, it can send the data query result to the blockchain node 12. The blockchain node 12 can receive the data query result sent by the off-chain data source 13, so that the blockchain can read off-chain data.

In some embodiments of the present application, before step 220, the data acquisition method 300 provided by the present application further includes: receiving data query information sent by the client.

In some embodiments of the present application, the blockchain platform may be Hyperledger Fabric. Then the client 11 can adjust the Fabric SDK to send the data query information to the blockchain node 12.

It should be noted that, according to the rules in the smart contract, the blockchain node 12 can construct a data query request to query data immediately after obtaining a data query information, and can also send a certain amount of data query information to the data query information. The off-chain data source 13 queries the data. For example, online model training requires a certain amount of training data. Therefore, after a certain amount of data query information of the training data is acquired, the off-chain data source 13 can be queried uniformly.

In some embodiments of the present application, in order to improve the security of the query data, before step 220, the data acquisition method 200 provided by the present application further includes: encrypting the data query request to obtain the encrypted data query request; here Basically, step 220 includes: directly sending an encrypted data query request to an off-chain data source associated with the data query information.

In the embodiment of the present application, by encrypting the data query request, the data can be prevented from being attacked, and the security of the data can be improved.

In some embodiments, the encrypted communication channel may be encrypted by using a secure transport layer protocol, and the encrypted data query request may be sent directly to the off-chain data source associated with the data query information.

In embodiments of the present application, a secure transport layer protocol is used to provide confidentiality and data integrity between two communication applications. The secure transport layer protocol has high security strength, small calculation amount, fast encryption and decryption speed, and high efficiency. Therefore, it can improve data security and data query efficiency at the same time.

In some embodiments of the present application, in order to further improve data security, the data query information further includes a data fingerprint of the target data to be queried. The data fingerprint of the target data is data obtained after hashing the target data by using a preset hashing algorithm. On this basis, the data acquisition method 200 provided by the present application further includes: hashing the data query result by using a preset hash algorithm through a smart contract to obtain a data fingerprint of the data query result; If the data fingerprint and the data fingerprint of the data query result are consistent, the smart contract will execute the preset processing on the data query result.

In the embodiment of the present application, the target data may be any data stored in the off-chain data source 13 . The client 11 can use a preset hash algorithm to hash the data stored in the off-chain data source 13 to obtain a data fingerprint of the data. The client 11 then sends the data fingerprint of the target data to the blockchain node 12 .

In the embodiment of the present application, by verifying whether the data fingerprint of the target data is consistent with the data fingerprint of the data query result, it can be determined whether the data to be queried is correct, and the accuracy of the data query is improved.

In the embodiment of the present application, the preset processing is related to the processing rules predefined in the smart contract. For example, the preset process may be to start model training.

In some embodiments of the present application, the data query result is an encrypted data query result. After step 230, the data acquisition method 200 provided by the present application further includes: decrypting the encrypted data query result to obtain the data query result .

In the embodiment of the present application, if the off-chain data source 13 encrypts the data query result in order to improve data security, the data query result sent by the off-chain data source 13 to the blockchain node 12 is the encrypted data search result. Then, the blockchain node 12 can use the decryption algorithm corresponding to the encryption algorithm to decrypt the encrypted data query result to obtain the final data query result.

In the embodiment of the present application, since the off-chain data source 13 sends the encrypted data query result to the blockchain node 12, external attacks can be prevented and the security of the data query result can be improved.

FIG. 3 is a schematic flowchart of another embodiment of the data acquisition method provided by the present application. The data acquisition method 300 provided by this application may be executed by the off-chain data source 13 shown in FIG. 1 .

As shown in Figure 3, the data acquisition method 300 includes the following steps:

Step 310: Receive a data query request sent by the blockchain node, the data query request is constructed by the blockchain node based on the acquired data query information and constructed through a smart contract, and the data query request carries the data query information;

Step 320, based on the data query request, obtain a data query result;

Step 330: Send the data query result to the blockchain node.

In the embodiment of the present application, the off-chain data source can query the data stored by itself based on the information in the data query request, and obtain the data query result corresponding to the data query request.

In some embodiments of the present application, referring to the relevant description of the data acquisition method 200 in FIG. 2 , in the data acquisition method 300 in FIG. 3 , the data query information may include the query index and the query authorization signature in the off-chain data source 13 , and on this basis, step 320 includes: obtaining a data query result matching the query index based on the query index carried in the data query request under the condition that the query authorization signature carried in the data query request passes the verification.

In the embodiments of the present application, the security of data query can be improved by verifying the query authorization signature.

In some embodiments, the verification of the query authorization signature carried in the data query request includes: determining that the query authorization signature is within a preset validity period, and/or, the number of requests for the data request carrying the query authorization signature is less than the preset number of times threshold.

In some embodiments, a validity period may be preset for the query authorization signature, and if the query authorization signature is within the preset validity period, it is determined that the query authorization signature has passed the verification. If the query authorization signature is not within the preset validity period, it is determined that the query authorization signature verification fails.

In other embodiments, if the number of requests for the data request carrying the query authorization signature is less than the preset number of times threshold, it is determined that the query authorization signature is verified as passed. If the number of requests of the data request carrying the query authorization signature is greater than or equal to the preset number of times threshold, it is determined that the query authorization signature verification fails.

In still other embodiments, the query authorization signature may also be verified comprehensively if the query authorization signature is within the preset validity period, and the number of requests for data requests carrying the query authorization signature is less than the preset number of times threshold.

In some embodiments of the present application, before step 330, the data acquisition method 300 provided by the present application further includes: encrypting the data query result to obtain the encrypted data query result; wherein, step 330 includes: sending the data to the blockchain The node sends the encrypted data query result.

In the embodiment of the present application, in order to improve the security of the data, the off-chain data source 13 encrypts the data query result. The blockchain node 12 can decrypt the encrypted data query result by using the decryption algorithm corresponding to the encryption algorithm to obtain the final data query result.

In some examples, the encrypted data query result may be sent to the blockchain node 12 through a secure transport layer protocol encrypted communication channel.

In the embodiment of the present application, the secure transport layer protocol has high security strength, small computational load, fast encryption and decryption speed, and high efficiency. Therefore, while data security is improved, data query efficiency can also be improved.

FIG. 4 is a schematic flowchart of another embodiment of the data acquisition method provided by the present application. As shown in FIG. 4 , the data acquisition method provided by the present application is applied to the application scenario of acquiring training data from off-chain.

In the scenario of using smart contracts to implement online training models, if training data is sent to blockchain nodes in the form of transactions, a large amount of block storage will be used. Therefore, in order to reduce the amount of data storage and the complexity of acquiring data from outside the chain, the data acquisition method provided in this application can be used.

In some embodiments of the present application, a data source service may be developed outside the chain, that is, an off-chain data source, and the off-chain data source provides a data access service in the form of HTTPS. The blockchain platform takes Hyperledger Fabric as an example, and uses chain code to implement the algorithm of online training model and deploy it on the blockchain.

Step 401, the client pre-assembles data query information. The data query information includes the data fingerprint of the training data, the storage address of the training data in the off-chain data source, and the query authorization signature.

The client uses a preset hash algorithm to hash each training data to obtain the data fingerprint of each training data. The client can obtain the storage address of the training data in the off-chain data source in advance from the off-chain data source. The client uses the authorization key obtained from the data source outside the chain to authorize the signature of the data query information, and obtain the query authorization signature.

Step 402, the client invokes the Fabric SDK to send data query information (also referred to as a transaction) to the blockchain node.

Step 403, the blockchain node receives the data query information.

Step 404, the smart contract in the blockchain node reads the data query information, and constructs a data query request based on the data query information.

Step 405 , the blockchain node sends a data query request to the off-chain data source through the secure transport layer protocol encrypted communication channel, and the request carries a query authorization signature.

Step 406, the off-chain data source receives the data query request.

Step 407 , after the data query request is received by the off-chain data source, the query authorization signature is verified.

Step 408, if the off-chain data source passes the verification of the query authorization signature, a data query result is obtained based on the data query request.

In step 409, the off-chain data source encrypts the data query result to obtain the encrypted data query result.

Step 410 , encrypt the communication channel through the secure transport layer protocol, and directly send the encrypted data query result to the blockchain node.

Step 411, the blockchain node receives the encrypted data query result.

Step 412, the blockchain node decrypts the encrypted data query result to obtain the data query result.

In step 413, the smart contract in the blockchain node can call the data query result, and hash the data query result to obtain a data fingerprint of the data query result.

Step 414, the smart contract in the blockchain node determines whether the data fingerprint of the training data to be queried in the data query information is consistent with the data fingerprint of the data query result.

Step 415, if the data fingerprint of the training data to be queried in the data query information is consistent with the data fingerprint of the data query result, the smart contract uses the data query result to perform model training.

Step 416 , if the data fingerprint of the training data to be queried in the data query information is inconsistent with the data fingerprint of the data query result, return the query failure feedback information to the client.

FIG. 5 is a schematic flowchart of still another embodiment of the data acquisition method provided by the present application. As shown in FIG. 5 , the data acquisition method provided by the present application is applied to an application scenario of querying payment results based on a bank query interface.

In the scenario where there is a smart contract on the blockchain and the next action needs to be initiated according to the payment result, in order to improve the reliability of the data, it can be queried from the payment result database of the bank outside the chain. In order to reduce the complexity of acquiring payment results from outside the chain, the data acquisition method provided in this application can be used.

In some embodiments of the present application, when deploying a smart contract on the blockchain, the bank's payment result query address is registered on the blockchain and approved by the contract participants.

Step 501, the client pre-assembles data query information. The data query information includes the payment serial number and the query authorization signature.

Step 502, the client sends data query information to the blockchain node.

Step 503, the blockchain node receives the data query information.

Step 504, the smart contract in the blockchain node reads the data query information, and constructs a data query request based on the payment serial number, the query authorization signature and the pre-registered bank payment result query address.

Step 505, the blockchain node sends a data query request to an off-chain data source (ie, a bank payment result query interface) through a secure transport layer protocol encrypted communication channel, and the request has a query authorization signature.

Step 506, the off-chain data source receives the data query request.

Step 507: After the data query request is received by the off-chain data source, the query authorization signature is verified.

Step 508, if the off-chain data source passes the verification of the query authorization signature, query the payment result corresponding to the payment serial number.

Step 509, the off-chain data source encrypts the payment result to obtain the encrypted payment result.

Step 510, encrypt the communication channel through the secure transport layer protocol, and directly send the encrypted payment result to the blockchain node.

Step 511, the blockchain node receives the encrypted payment result.

Step 512, the blockchain node decrypts the encrypted payment result to obtain the payment result.

Step 513, the smart contract in the blockchain node uses the queried payment result to perform the next step.

FIG. 6 is a schematic structural diagram of an embodiment of a data acquisition apparatus provided by the present application. As shown in FIG. 6, the data acquisition device 600 provided by the present application includes:

The data query request construction module 610 is configured to construct a data query request through a smart contract based on the acquired data query information, and the data query request carries the data query information;

a data query request sending module 620, configured to directly send a data query request to an off-chain data source associated with the data query information, so that the off-chain data source obtains a data query result based on the data query request;

The data query result receiving module 630 is configured to receive the data query result sent by the data source outside the chain.

In some embodiments of the present application, the data query information includes a query index in the off-chain data source 13 .

In some embodiments of the present application, the query index includes a query condition or a storage address of the data source 13 outside the chain.

In some embodiments of the present application, if the query index includes query conditions, the data query request building module 610 can be specifically configured to construct a data query through a smart contract based on the obtained query conditions and the pre-stored query address of the off-chain data source 13 ask.

In some embodiments of the present application, the data query information further includes a query authorization signature, and the query authorization signature is used by the off-chain data source 13 to obtain a data query result based on the data query request when the query authorization signature is verified.

In some embodiments of the present application, the data acquisition apparatus 600 further includes:

The receiving module is used to receive the data query information sent by the client 11 .

The first encryption module is used for encrypting the data query request to obtain the encrypted data query request.

According to the embodiment of the present application, the data query request sending module 620 is specifically configured to:

The encrypted data query request is directly sent to the off-chain data source 13 associated with the data query information.

In some embodiments of the present application, the data query request sending module 620 is specifically configured to:

The encrypted communication channel is encrypted by the secure transport layer protocol, and the encrypted data query request is directly sent to the off-chain data source 13 associated with the data query information.

In some embodiments of the present application, the data query information further includes a data fingerprint of the target data to be queried; the data fingerprint of the target data is data obtained after hashing the target data by using a preset hash algorithm.

According to the embodiment of the present application, the data acquisition apparatus 600 further includes:

The data fingerprint determination module is used for hashing the data query result by using the preset hash algorithm through the smart contract to obtain the data fingerprint of the data query result;

The processing module is configured to perform preset processing on the data query result through the smart contract when the data fingerprint of the target data is determined to be consistent with the data fingerprint of the data query result through the smart contract.

In some embodiments of the present application, the data query result is an encrypted data query result, and the data acquisition device 600 further includes:

The decryption module is used to decrypt the encrypted data query result to obtain the data query result.

Other details of the data acquisition apparatus 600 in this embodiment of the present application are similar to the data acquisition method 200 described above with reference to FIG. 2 , and are not repeated here.

FIG. 7 is a schematic structural diagram of another embodiment of the data acquisition apparatus provided by the present application. As shown in FIG. 7 , the data acquisition device 700 provided by the present application includes:

The data query request receiving module 710 is configured to receive a data query request sent by the blockchain node 12. The data query request is constructed by the blockchain node 12 based on the acquired data query information through a smart contract, and the data query request carries the data query. information;

a data query result determination module 720, configured to obtain a data query result based on the data query request;

The data query result sending module 730 is configured to send the data query result to the blockchain node 12 .

In some embodiments of the present application, the data query information includes a query index and a query authorization signature in the off-chain data source 13 .

According to the embodiment of the present application, the data query result determination module 720 is specifically configured to:

In the case where the verification of the query authorization signature carried in the data query request is passed, a data query result matching the query index is obtained based on the query index carried in the data query request.

In some embodiments of the present application, the verification of the query authorization signature carried in the data query request is passed, including:

It is determined that the query authorization signature is within the preset validity period, and/or the number of requests for data requests carrying the query authorization signature is less than the preset number of times threshold.

In some embodiments of the present application, the data acquisition apparatus 700 further includes:

The second encryption module is used for encrypting the data query result to obtain the encrypted data query result.

According to the embodiment of the present application, the data query result sending module 730 is configured to:

Send the encrypted data query result to the blockchain node 12.

In some embodiments of the present application, the data query result sending module 730 is specifically configured to:

The encrypted communication channel is encrypted by the secure transport layer protocol, and the encrypted data query result is sent to the blockchain node 12 .

Other details of the data acquisition apparatus 700 according to the embodiment of the present application are similar to the data acquisition method 300 according to the embodiment of the present application described above with reference to FIG. 3 , and are not repeated here.

The data acquisition method and apparatus according to the embodiments of the present application described in conjunction with FIG. 2 to FIG. 5 may be implemented by a data acquisition device. FIG. 8 is a schematic diagram of a hardware structure of an embodiment of a data acquisition device provided by the present application.

The data acquisition device 800 may include a processor 801 and a memory 802 storing computer program instructions.

Specifically, the above-mentioned processor 801 may include a central processing unit (CPU), or a specific integrated circuit (Application Specific Integrated Circuit, ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

Memory 802 may include mass storage for data or instructions. By way of example and not limitation, memory 802 may include a Hard Disk Drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a Universal Serial Bus (USB) drive or two or more A combination of more than one of the above. Memory 802 may include removable or non-removable (or fixed) media, where appropriate. Memory 802 may be internal or external to data acquisition device 800, where appropriate. In certain embodiments, memory 802 is non-volatile solid state memory.

In certain embodiments, memory 802 includes read only memory (ROM). Where appropriate, the ROM may be a mask programmed ROM, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), electrically rewritable ROM (EAROM) or flash memory or A combination of two or more of the above.

Memory may include read only memory (ROM), random access memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical or other physical/tangible memory storage devices. Thus, typically, a memory includes one or more tangible (non-transitory) computer-readable storage media (eg, memory devices) encoded with software including computer-executable instructions, and when the software is executed (eg, by a or multiple processors), it is operable to perform the operations described with reference to the data acquisition method according to the present disclosure.

The processor 801 reads and executes the computer program instructions stored in the memory 802 to implement any one of the data acquisition methods in the foregoing embodiments.

In one example, the data acquisition device 800 may also include a communication interface 803 and a bus 810 . Among them, as shown in FIG. 8 , the processor 801 , the memory 802 , and the communication interface 803 are connected through the bus 810 and complete the mutual communication.

The communication interface 803 is mainly used to implement communication between modules, apparatuses, units and/or devices in the embodiments of the present application.

The bus 810 includes hardware, software, or both, coupling the components of the data acquisition device to each other. By way of example and not limitation, bus 810 may include Accelerated Graphics Port (AGP) or other graphics bus, Enhanced Industry Standard Architecture (EISA) bus, Front Side Bus (FSB), HyperTransport (HT) interconnect, Industry Standard Architecture (ISA) ) bus, Infiniband Interconnect, Low Pin Count (LPC) bus, Memory Bus, Microchannel Architecture (MCA) bus, Peripheral Component Interconnect (PCI) bus, PCI-Express (PCI-X) bus, Serial Advanced Technology Attachment (SATA) bus, Video Electronics Standards Association Local (VLB) bus or other suitable bus or a combination of two or more of the above. Bus 810 may include one or more buses, where appropriate. Although embodiments of this application describe and illustrate a particular bus, this application contemplates any suitable bus or interconnect.

In addition, in combination with the data acquisition method in the foregoing embodiment, the embodiment of the present application may provide a computer storage medium for implementation. Computer program instructions are stored on the computer storage medium; when the computer program instructions are executed by the processor, any one of the data acquisition methods in the foregoing embodiments is implemented. Examples of computer-readable storage media shown include non-transitory computer-readable storage media, such as read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk, etc. .

To be clear, the present application is not limited to the specific configurations and processes described above and illustrated in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above-described embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the sequence of steps after comprehending the spirit of the present application.

The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an application specific integrated circuit (ASIC), suitable firmware, a plug-in, a function card, or the like. When implemented in software, elements of the present application are programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted over a transmission medium or communication link by a data signal carried in a carrier wave. A "machine-readable medium" may include any medium that can store or transmit information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, and the like. The code segments may be downloaded via a computer network such as the Internet, an intranet, or the like.

It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above steps, that is, the steps may be performed in the order mentioned in the embodiment, or may be different from the order in the embodiment, or several steps may be performed simultaneously.

Aspects of the present disclosure are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the present application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of 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, special purpose computer, or other programmable data processing apparatus to produce a machine such that execution of the instructions via the processor of the computer or other programmable data processing apparatus enables the Implementation of the functions/acts specified in one or more blocks of the flowchart and/or block diagrams. Such processors may be, but are not limited to, general purpose processors, special purpose processors, application specific processors, or field programmable logic circuits. It will also be understood that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can also be implemented by special purpose hardware for performing the specified functions or actions, or by special purpose hardware and/or A combination of computer instructions is implemented.

The above are only specific implementations of the present application. Those skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working process of the above-described systems, modules and units may refer to the foregoing method embodiments. The corresponding process in , will not be repeated here. It should be understood that the protection scope of the present application is not limited to this. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should all cover within the scope of protection of this application.

Claims

A data acquisition method applied to blockchain nodes, including:

Based on the acquired data query information, a data query request is constructed through a smart contract, and the data query request carries the data query information;

directly sending the data query request to an off-chain data source associated with the data query information, so that the off-chain data source obtains a data query result based on the data query request;

Receive the data query result sent by the off-chain data source.
The method of claim 1, wherein the data query information includes a query index in the off-chain data source.
The method according to claim 2, wherein the query index includes a query condition or a storage address of the data source outside the chain.
The method according to claim 3, wherein, if the query index includes query conditions, the data query request constructed through a smart contract based on the acquired data query information includes:

Based on the obtained query conditions and the pre-stored query address of the off-chain data source, the data query request is constructed through a smart contract.
The method according to claim 2, wherein the data query information further includes a query authorization signature, and the query authorization signature is used by the off-chain data source to verify the query authorization signature based on the The data query request is obtained to obtain the data query result.
The method according to claim 1, wherein, before the data query request is constructed through a smart contract based on the acquired data query information, the method further comprises:

The data query information sent by the client is received.
The method according to claim 1, wherein before the data query request is directly sent to an off-chain data source associated with the data query information, the method further comprises:

Encrypting the data query request to obtain an encrypted data query request;

The directly sending the data query request to the off-chain data source associated with the data query information includes:

The encrypted data query request is directly sent to the off-chain data source associated with the data query information.
The method according to claim 7, wherein the directly sending the encrypted data query request to an off-chain data source associated with the data query information comprises:

The encrypted data query request is directly sent to the off-chain data source associated with the data query information by encrypting the communication channel through the secure transport layer protocol.
The method according to claim 1, wherein the data query information further includes a data fingerprint of the target data to be queried; the data fingerprint of the target data is obtained after hashing the target data with a preset hash algorithm The data;

Wherein, after receiving the data query result sent by the off-chain data source, the method further includes:

Through the smart contract, the data query result is hashed by the preset hash algorithm to obtain a data fingerprint of the data query result;

When it is determined by the smart contract that the data fingerprint of the target data is consistent with the data fingerprint of the data query result, preset processing is performed on the data query result by the smart contract.
The method according to claim 1, wherein the data query result is an encrypted data query result, and the method further comprises:

Decrypt the encrypted data query result to obtain the data query result.
A data acquisition method, applying off-chain data sources, including:

receiving a data query request sent by a blockchain node, where the data query request is constructed by the blockchain node through a smart contract based on the acquired data query information, and the data query request carries the data query information;

obtaining a data query result based on the data query request;

Send the data query result to the blockchain node.
The method of claim 11, wherein the data query information includes a query index and a query authorization signature in the off-chain data source;

Wherein, obtaining a data query result based on the data query request includes:

In the case of passing the verification of the query authorization signature carried in the data query request, a data query result matching the query index is obtained based on the query index carried in the data query request.
The method according to claim 12, wherein the verification of the query authorization signature carried in the data query request is passed, comprising:

It is determined that the query authorization signature is within a preset validity period, and/or the number of requests for data requests carrying the query authorization signature is less than a preset number of times threshold.
The method according to claim 11, wherein before the sending the data query result to the blockchain node, the method further comprises:

Encrypting the data query result to obtain an encrypted data query result;

Wherein, the sending the data query result to the blockchain node includes:

Send the encrypted data query result to the blockchain node.
The method according to claim 14, wherein the sending the encrypted data query result to the blockchain node comprises:

The encrypted communication channel is encrypted by the secure transport layer protocol, and the encrypted data query result is sent to the blockchain node.
A data acquisition device, applied to a blockchain node, includes:

a data query request building module, configured to construct a data query request through a smart contract based on the acquired data query information, where the data query request carries the data query information;

a data query request sending module, configured to directly send the data query request to an off-chain data source associated with the data query information, so that the off-chain data source obtains a data query result based on the data query request;

The data query result receiving module is configured to receive the data query result sent by the off-chain data source.
A data acquisition method applied to off-chain data sources, including:

The data query request receiving module is used to receive the data query request sent by the blockchain node. The data query request is constructed by the blockchain node based on the acquired data query information through a smart contract, and the data query request carries have the data query information;

a data query result determination module, configured to obtain a data query result based on the data query request;

A data query result sending module, configured to send the data query result to the blockchain node.
A data acquisition device, comprising: a processor and a memory storing computer program instructions;

When the processor executes the computer program instructions, the data acquisition method according to any one of claims 1-15 is implemented.
A computer storage medium, where computer program instructions are stored thereon, and when the computer program instructions are executed by a processor, the data acquisition method according to any one of claims 1-15 is implemented.