CN111159300A - Data processing method and device based on block chain - Google Patents
Data processing method and device based on block chain Download PDFInfo
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- CN111159300A CN111159300A CN201911412769.3A CN201911412769A CN111159300A CN 111159300 A CN111159300 A CN 111159300A CN 201911412769 A CN201911412769 A CN 201911412769A CN 111159300 A CN111159300 A CN 111159300A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
Abstract
The invention discloses a data processing method and a data processing device based on a block chain, wherein the method comprises the following steps: receiving a plurality of job data from a plurality of data chains in a blockchain, the job data including: job execution order information, job basic information; sequentially storing a plurality of job data in a local database according to the job execution sequence information, wherein the local database is provided with an index which is preset according to the job basic information; and sending the corresponding job data to a subscription mechanism producer according to a predetermined subscription mechanism so as to be forwarded to a corresponding subscription mechanism consumer. By the method and the system, the query requirements of different job data can be met, and the query efficiency can be accelerated by the index set based on the job basic information.
Description
Technical Field
The invention relates to the field of data processing, in particular to a data processing method and device based on a block chain.
Background
At present, a large problem faced by a block chain after being put into production application is a query problem. The native blockchain provides various different transaction and blockdata query interfaces, but these queries are basically based on a KEY-value database stored in the blockchain, and are based on the height, ID (Identity document), transaction ID, etc. of the blockchain as KEY.
However, the above query method cannot satisfy the query of all the service data, and particularly, when performing multidimensional auditing and retrieving operations, the above query method cannot satisfy the query requirement.
Disclosure of Invention
In view of the above, the present invention provides a data processing method and apparatus based on a block chain to solve at least one of the above-mentioned problems.
According to a first aspect of the present invention, there is provided a data processing method based on a block chain, the method comprising: receiving a plurality of job data from a plurality of data chains in a blockchain, the job data including: job execution order information, job basic information; sequentially storing the plurality of job data in a local database according to the job execution sequence information, wherein the local database is provided with an index which is set in advance according to job basic information; and sending the corresponding job data to a subscription mechanism producer according to a predetermined subscription mechanism so as to be forwarded to a corresponding subscription mechanism consumer.
After receiving a plurality of job data from a plurality of data chains in a blockchain, the method further comprises: and performing filtering operation on the plurality of job data according to a preset storage rule.
Further, the method further comprises: receiving and storing a query requirement; and feeding back related operation data through the index according to the query requirement.
Further, the method further comprises: and updating the index according to the query requirement.
According to a second aspect of the present invention, there is provided a block chain based data processing apparatus, the apparatus comprising: a data receiving unit configured to receive a plurality of job data from a plurality of data chains in a block chain, the job data including: job execution order information, job basic information; a data storage unit configured to sequentially store the plurality of job data in a local database according to the job execution order information, the local database having an index set in advance according to job basic information; and the data sending unit is used for sending the corresponding job data to the subscription mechanism producer according to a preset subscription mechanism so as to be convenient for forwarding to the corresponding subscription mechanism consumer.
Preferably, the apparatus further comprises: and the filtering unit is used for carrying out filtering operation on the plurality of job data according to a preset storage rule.
Further, the apparatus further comprises: the query requirement receiving unit is used for receiving and storing a query requirement; and the feedback unit is used for feeding back related operation data through the index according to the query requirement.
Further, the apparatus further comprises: and the updating unit is used for updating the index according to the query requirement.
According to a third aspect of the present invention, there is provided an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the above block chain based data processing method when executing the program.
According to a fourth aspect of the present invention, the present invention provides a computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, realizes the steps of the above block chain based data processing method.
According to the technical scheme, the received job data are sequentially stored in the local database according to the job execution sequence, and the corresponding job data are sent to the subscription mechanism producer according to the subscription mechanism, so that the corresponding subscription mechanism consumer can receive the job data conveniently.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a block chain based data processing method according to an embodiment of the present invention;
FIG. 2 is a block diagram of a data processing apparatus based on blockchains according to an embodiment of the present invention;
FIG. 3 is a detailed block diagram of a data processing apparatus based on a blockchain according to an embodiment of the present invention;
FIG. 4 is a block chain architecture according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of an electronic device according to an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Because the current block chain query interface cannot meet the query requirements of all service data (hereinafter referred to as operation data), especially for multidimensional auditing and retrieval operations, embodiments of the present invention provide a data processing scheme based on a block chain, which can meet the query requirements of different operation data by setting an index in advance according to operation basic information in a local database, and can accelerate query efficiency when querying the operation data. Embodiments of the present invention are described in detail below with reference to the accompanying drawings.
Fig. 1 is a flowchart of a data processing method based on a block chain according to an embodiment of the present invention, as shown in fig. 1, the method including:
And 102, sequentially storing the plurality of job data in a local database according to the job execution sequence information, wherein the local database has an index which is set in advance according to the job basic information.
The local database can be a relational database, and can store various block data in a structured manner so as to facilitate subsequent query.
In actual operation, the index may be set based on a main field of the job (or referred to as a service), for example, the index is set according to an account number, a customer number, or the like, or the index may be set based on a common query element.
In one embodiment, the index may be set by an account number, a card number, a name, a transaction amount, a payee, or a combination of several elements, for example, an approximate date, an approximate amount, an approximate who participated in a transaction, etc. as a query condition, and increasing these indexes may accelerate query efficiency.
And when an inquiry demand is received, feeding back related operation data through a preset index according to the inquiry demand. Preferably, the query requirement can be stored locally, so that the index can be updated according to the query requirement at a later stage.
And 103, sending the corresponding job data to a subscription mechanism producer according to a predetermined subscription mechanism so as to be forwarded to a corresponding subscription mechanism consumer.
The received job data are sequentially stored in the local database according to the job execution sequence, and the corresponding job data are sent to the subscription mechanism producer according to the subscription mechanism, so that the corresponding subscription mechanism consumer can receive the job data conveniently.
In an implementation, the blockchain has a plurality of data chains, and synchronization is required to be set for each data chain. Thus, complete data can be provided in the local database, and data among a plurality of data chains is related, and can also be embodied in one database.
Specifically, the transaction (which may also be referred to as a job) throughput is different for each data chain, and a plurality of threads may be provided for a data chain with a large throughput to perform data synchronization concurrently. When multithread synchronization is carried out, if strict sequence types appear among transactions, the synchronized block chain can be stored into the database after local caching and the transaction front and back sequence coherence of the cache are carried out.
In one embodiment, the filtering operation may be performed on the received plurality of job data according to a predetermined storage rule. That is, for the job data which is not needed locally at all, the filtering can be carried out at the same time of synchronization, the storage pressure of the local database is reduced, and the query efficiency is increased.
Before storage, most of data on the data chain is encrypted by using a privacy technology, and when local data are synchronized, encrypted data can be decrypted and stored after being analyzed by JSON (JavaScript Object Notation), XML (extensible markup Language) and other format data, so that subsequent query speed is increased.
Preferably, the job association relationship between the plurality of job data of the plurality of received data chains is stored.
In particular, for transactions completed over multiple blockchains, the continuous characteristics of the transaction may be obtained and saved in a local rule base. For example, there are client number correspondence, temporal context, and service ID comparison between two chains (e.g., the service ID of a transaction executed in chain a is ID1, and the service ID corresponding to chain B is IDB), and the continuity of services among multiple chains is concatenated and associated to form a global session conversation sequence, which is used for local correlation query, can be used for root tracing and tracking the destination of transactions on multiple chains.
In step 103, when the transactions in the blockchain are not all transactions that the client needs to process, especially when only a few transactions are client transactions, the subscription mechanism needs to be executed. For example, an organization has multiple business departments, each with its own acquisition requirements, and each department can customize its own required transaction conditions, i.e., set up a subscription mechanism. In this way, in the block operation data processing process, the corresponding transaction information is pushed to the corresponding client according to the subscribed transaction condition.
In one embodiment, the monitoring may be performed through a subscription mechanism, for example, when some transactions have certain characteristics (e.g., amount is too large and frequency is too high), such transactions may be pushed to the monitoring terminal and an alarm mechanism of the monitoring terminal may be triggered.
In actual operation, the subscription mechanism may be incorporated into the synchronization mechanism, and in the synchronization process, when the acquired data satisfies the subscription mechanism, the data may be sent to a producer of the subscription mechanism, and the producer may automatically send the data to the consumer.
Specifically, the synchronization mechanism flow may include: get data from blockchain (concurrency), parse data, filter data, sort data, and save data to local database.
The subscription flow may include: the client subscribes the message, sends the subscription message to the subscription producer through a synchronization mechanism, the subscription producer pushes the message to the subscription consumer, and the subscription consumer starts a related function to receive the message.
Based on similar inventive concepts, the embodiment of the present invention further provides a data processing apparatus based on a block chain, and preferably, the apparatus may be used to implement the above-mentioned method embodiments.
Fig. 2 is a block diagram of a data processing apparatus based on a block chain according to an embodiment of the present invention, as shown in fig. 2, the apparatus including: a data receiving unit 21, a data storage unit 22, and a data transmitting unit 23, wherein:
a data receiving unit 21, configured to receive a plurality of job data from a plurality of data chains in a block chain, where the job data includes: job execution order information, job basic information. The job basic information here may include: job time, account number, card number, amount of money involved, payee, etc. associated with the job.
A data storage unit 22, configured to sequentially store the plurality of job data in a local database according to the job execution order information, the local database having an index set in advance according to job basic information.
And the data sending unit 23 is configured to send the corresponding job data to the subscription mechanism producer according to a predetermined subscription mechanism, so as to forward the job data to the corresponding subscription mechanism consumer.
The job data received by the data receiving unit 21 are sequentially stored in the local database according to the job execution order through the data storage unit 22, the corresponding job data are transmitted to the subscription mechanism producer according to the subscription mechanism by the data transmitting unit 23 so as to be received by the corresponding subscription mechanism consumer, the local database has an index set according to the job basic information, so that the query requirements of different job data can be met, and the query efficiency can be accelerated through the index set based on the job basic information.
In practical operation, as shown in fig. 3, the apparatus further comprises: and a filtering unit 24 for performing a filtering operation on the plurality of job data according to a predetermined storage rule. The filtering unit 24 can filter local unwanted transaction data, perform filtering while synchronizing data, reduce the storage pressure of a local database, and increase the efficiency of query.
With continued reference to fig. 3, the apparatus may further include: a query requirement receiving unit 25 and a feedback unit 26, wherein:
a query requirement receiving unit 25 for receiving and storing a query requirement;
and the feedback unit 26 is configured to feed back relevant job data through the index according to the query requirement.
In order to improve the query efficiency, with continued reference to fig. 3, the apparatus may further include: and the updating unit 27 is configured to update the index according to the query requirement, so as to achieve efficiency of accelerating query.
Preferably, with continued reference to fig. 3, the apparatus further comprises: an association relation storage unit 28, configured to store a job association relation between the received plurality of job data of the plurality of data chains.
The association relationship storage unit 28 can serially connect and associate the services among multiple chains to form a global session conversation sequence, which is used for local association query, root tracing and tracking the destination demand of the transaction on multiple chains.
For the specific execution process of each unit, reference may be made to the description in the foregoing method embodiment, and details are not described here again.
In practical operation, the units may be arranged in combination or in a single arrangement, and the present invention is not limited thereto.
The embodiment of the present invention is described in detail below with reference to the blockchain architecture shown in fig. 4.
As shown in fig. 4, the blockchain architecture includes: the system comprises a block chain platform node 1, an access system 2, a service system 3, a client 4, a subscription consumer 5, a subscription producer 6, a synchronization module 7, an analysis filtering module 8, a data query module 9 and a database 10, which are respectively described in detail below.
(1) Block chain platform node 1
Each blockchain requires a node to be established locally for local business systems to access the chain, and for more complex blockchain systems, there are typically multiple chains that may use different blockchain protocols, such as Fabric0.6 (a blockchain architecture), Fabric1.0, and alliance chains with proprietary contract systems added thereto based on Fabric or other alliance chains, or blockchain systems developed autonomously by blockchain enterprises.
In any block chain, the local database stores the block data of the block chain and the latest block state information in a file manner.
(2) Access system 2
The blockchain is connected to the business system through an access system 2, which access system 2 may have an interface developed by the blockchain platform itself, which interface needs to be developed for each different platform. The access system 2 may also be a BAAS platform (cloud platform for facilitating access of blockchain) developed by blockchain enterprises, and various blockchain platforms are merged, and the service system only needs to call a uniform BAAS interface provided by the product.
(3) Business system 3
The business system 3 is responsible for performing business logic processing that interacts directly with the blockchain system. Such as data uplink, block chain data query, etc. In the embodiment of the invention, the service system can be directly connected with the data query module, and the quick query is completed by querying the local relational database without querying in the data of the block chain link, so that the query efficiency is greatly improved, and the coupling of the service system and the data characteristics of the block chain is reduced.
When logic needing to be called passively exists in a business system, for example, the quasi-real-time notification of state change can be completed by registering a subscription consumer without periodically scanning data or batch completion at night, so that the real-time performance can be improved and the consumption of system resources can be reduced.
(4) Client terminal 4
The client 4 may be a terminal device of an actual teller, a data center operator, or the like, through which a service request may be initiated, a data notification received, or the like.
(5) Subscribing consumers 5
The subscription consumer 5 is a message user of the subscription mechanism, and receives the message sent by the subscription producer after the message subscription operation, without sending a data request to the producer periodically.
The subscription consumer 5 is responsible for completing the reception of the message from the subscription producer and for starting the relevant logic of the business system or for directly presenting to the client.
(6) Subscription producer 6
The subscription producer 6 is a message sender of the subscription mechanism, and when finding out that there is data conforming to the subscription logic in the synchronization module, the data is packaged and sent to the corresponding subscription producer, and the subscription producer will send the message to all consumers of the message.
(7) Synchronization module 7
The synchronization module 7 completes a stable synchronization from the blockchain system to the local database. Specifically, the synchronization module 7 may perform timing scanning on each block chain, perform multi-process block scanning according to a preset configuration for a chain with a large transaction amount, and if a certain type of transaction has a sequential requirement, it needs to wait for completion of synchronization of similar data in a leading block in a data memory buffer before sequentially writing the data into a local database.
(8) Analysis filtering module 8
The analysis filtering module 8 is called by the synchronization module in advance, and the analysis filtering module 8 is mainly responsible for the following operations:
(a) performing transaction disassembly on the read block data;
(b) unpacking data according to transaction data format (e.g., json, xml, etc.);
(c) checking whether the transaction is data needing to be screened according to the configuration, and if so, ignoring the data;
(d) and checking whether the transaction contains the encrypted data, and if so, decrypting the encrypted data by adopting an algorithm or an encryption machine.
(9) Data query module 9
The data query module 9 is responsible for completing query of relevant data from the local database according to query requirements and returning the data to the query caller.
Specifically, according to the query requirement, the local database is queried, and the result is compiled according to the required view and returned to the service system or the client.
The query requirements can be stored in a local database, and query retrieval can be further optimized by counting the query requirements of various data so as to improve query performance.
(10) Database with a plurality of databases
The database is a relational database and is used for storing various block data in a structured mode.
When a system is built, a new data format is loaded, and a new index is needed for loading a new query requirement, scripts for creating the index and the data table are written according to needs, a corresponding data table can be created in a local relational database, and the new index is built to prepare for querying of a data query module.
FIG. 5 is a schematic diagram of an electronic device according to an embodiment of the invention. The electronic device shown in fig. 5 is a general-purpose data processing apparatus comprising a general-purpose computer hardware structure including at least a processor 501 and a memory 502. The processor 501 and the memory 502 are connected by a bus 503. Memory 502 is adapted to store one or more instructions or programs that are executable by processor 501. The one or more instructions or programs are executed by processor 501 to implement the steps in the above-described blockchain-based data processing method.
The processor 501 may be an independent microprocessor or a set of one or more microprocessors. Thus, the processor 501 implements the processing of data and the control of other devices by executing commands stored in the memory 502 to execute the method flows of the embodiments of the present invention as described above. The bus 503 connects the above components together, and also connects the above components to a display controller 504 and a display device and an input/output (I/O) device 505. Input/output (I/O) devices 505 may be a mouse, keyboard, modem, network interface, touch input device, motion sensing input device, printer, and other devices known in the art. Typically, input/output (I/O) devices 505 are connected to the system through an input/output (I/O) controller 506.
The memory 502 may store, among other things, software components such as an operating system, communication modules, interaction modules, and application programs. Each of the modules and applications described above corresponds to a set of executable program instructions that perform one or more functions and methods described in embodiments of the invention.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the steps of the above data processing method based on a block chain.
In summary, embodiments of the present invention provide a data processing scheme based on a blockchain, which can process local data by itself by establishing a local relational database, for example, return a query result by retrieving the local data without affecting blockchain transactions, thereby reducing the performance of processing queries by the blockchain, and by setting a subscription mechanism, can reduce resource consumption of data synchronization upwards, and can be applied to alarm and monitoring, and when an exception occurs in the blockchain, the viewing of historical data is not affected.
The preferred embodiments of the present invention have been described above with reference to the accompanying drawings. The many features and advantages of the embodiments are apparent from the detailed specification, and thus, it is intended by the appended claims to cover all such features and advantages of the embodiments which fall within the true spirit and scope thereof. Further, since numerous modifications and changes will readily occur to those skilled in the art, it is not desired to limit the embodiments of the invention to the exact construction and operation illustrated and described, and accordingly, all suitable modifications and equivalents may be resorted to, falling within the scope thereof.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The principle and the implementation mode of the invention are explained by applying specific embodiments in the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (12)
1. A method for processing data based on a blockchain, the method comprising:
receiving a plurality of job data from a plurality of data chains in a blockchain, the job data including: job execution order information, job basic information;
sequentially storing the plurality of job data in a local database according to the job execution sequence information, wherein the local database is provided with an index which is set in advance according to job basic information;
and sending the corresponding job data to a subscription mechanism producer according to a predetermined subscription mechanism so as to be forwarded to a corresponding subscription mechanism consumer.
2. The blockchain-based data processing method according to claim 1, wherein after receiving a plurality of job data from a plurality of data chains in a blockchain, the method further comprises:
and performing filtering operation on the plurality of job data according to a preset storage rule.
3. The blockchain-based data processing method according to claim 1, wherein the method further comprises:
receiving and storing a query requirement;
and feeding back related operation data through the index according to the query requirement.
4. The blockchain-based data processing method according to claim 3, wherein the method further comprises:
and updating the index according to the query requirement.
5. The blockchain-based data processing method according to claim 3, wherein the method further comprises:
and storing the received job association relation among the plurality of job data of the plurality of data chains.
6. An apparatus for data processing based on a blockchain, the apparatus comprising:
a data receiving unit configured to receive a plurality of job data from a plurality of data chains in a block chain, the job data including: job execution order information, job basic information;
a data storage unit configured to sequentially store the plurality of job data in a local database according to the job execution order information, the local database having an index set in advance according to job basic information;
and the data sending unit is used for sending the corresponding job data to the subscription mechanism producer according to a preset subscription mechanism so as to be convenient for forwarding to the corresponding subscription mechanism consumer.
7. The blockchain-based data processing apparatus according to claim 6, wherein the apparatus further comprises:
and the filtering unit is used for carrying out filtering operation on the plurality of job data according to a preset storage rule.
8. The blockchain-based data processing apparatus according to claim 6, wherein the apparatus further comprises:
the query requirement receiving unit is used for receiving and storing a query requirement;
and the feedback unit is used for feeding back related operation data through the index according to the query requirement.
9. The blockchain-based data processing apparatus according to claim 8, the apparatus further comprising:
and the updating unit is used for updating the index according to the query requirement.
10. The blockchain-based data processing apparatus according to claim 6, wherein the apparatus further comprises:
and the association relation storage unit is used for storing the received job association relation among the plurality of job data of the plurality of data chains.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the block chain based data processing method according to any of claims 1 to 5 are implemented by the processor when executing the program.
12. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method for blockchain-based data processing according to any one of claims 1 to 5.
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| CN110489413A (en) * | 2019-07-15 | 2019-11-22 | 杭州复杂美科技有限公司 | A kind of storage of transaction record, querying method and system, equipment and storage medium |
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