CN113094395A - Data query method, computer device and storage medium - Google Patents
Data query method, computer device and storage medium Download PDFInfo
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- CN113094395A CN113094395A CN202110296506.1A CN202110296506A CN113094395A CN 113094395 A CN113094395 A CN 113094395A CN 202110296506 A CN202110296506 A CN 202110296506A CN 113094395 A CN113094395 A CN 113094395A
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- 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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- G06F16/245—Query processing
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- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
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Abstract
The invention provides a data query method, computer equipment and a storage medium, wherein the method comprises the following steps: receiving a first user query request; generating a first index query request according to the first jvm contract name and each first query parameter, and sending the first index query request to a first jvm query server, so that the first jvm query server loads a first jvm contract according to the first jvm contract name in jvm, generates a first index according to each first query parameter, and returns the first index; receiving a first index, and inquiring a first inquiry result in a block chain database according to the first index; sending the first query result to a first jvm query server, so that the first jvm query server deserializes the first query result in jvm of loading a first jvm contract to generate a second query result and returns the second query result; and receiving a second query result, and returning the second query result to the first user terminal. The invention ensures that the performance of executing transaction is not influenced by high concurrent calling of the virtual machine, and promotes tps of a block chain system.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to a data query method, a computer device, and a storage medium.
Background
In existing blockchain systems, intelligent contracts for blockchains need to be executed in virtual machines (e.g., EVMs, JVMs, etc.).
Taking the blockchain system that loads and executes the intelligent contract through the JVM as an example, when a blockchain node processes a query request, the intelligent contract corresponding to the query request needs to be loaded in the JVM.
The problem of the above technical solution is that the query function is a highly concurrent function, that is, when many users send many query requests at the same time, the process running the blockchain needs to call multiple virtual machines concurrently and also needs to continue to execute transactions at the same time, which results in a performance reduction of executing transactions, thereby reducing tps of the whole blockchain system.
Disclosure of Invention
In view of the above-mentioned drawbacks and deficiencies of the prior art, it is desirable to provide a data query method, a computer device, and a storage medium that can simultaneously secure performance of a blockchain system in performing transactions by enabling a process running a blockchain to implement a query function without calling a virtual machine.
In a first aspect, the present invention provides a data query method applicable to a blockchain node, where a blockchain network is configured with a plurality of centralized jvm query servers, the method including:
receiving a first user query request; the first user query request is generated by a first user and comprises a first jvm contract name and a plurality of first query parameters;
generating a first index query request according to the first jvm contract name and each first query parameter, and sending the first index query request to a first jvm query server, so that the first jvm query server loads a first jvm contract according to the first jvm contract name in jvm, generates a first index according to each first query parameter, and returns the first index;
receiving a first index, and inquiring a first inquiry result in a block chain database according to the first index;
sending the first query result to a first jvm query server, so that the first jvm query server deserializes the first query result in jvm of loading a first jvm contract to generate a second query result and returns the second query result;
and receiving a second query result, and returning the second query result to the first user terminal.
In a second aspect, the present invention provides a data query method applicable to jvm query servers, where a blockchain network is configured with a plurality of centralized jvm query servers, the method including:
receiving a first index query request sent by a first block chain node; the first index query request is generated by a first block chain node according to a first jvm contract name and a plurality of first query parameters after receiving a first user query request; the first user inquiry request is generated by the first user end and comprises a first jvm contract name and each first inquiry parameter;
loading jvm a first jvm contract according to the first jvm contract name;
generating a first index according to each first query parameter in jvm that loads a first jvm contract;
returning the first index to the first block chain node, so that the first block chain node can inquire a first inquiry result in the block chain database according to the first index and send the first inquiry result;
receiving a first query result;
deserializing the first query result in jvm, which loads the first jvm contract, to generate a second query result;
and returning the second query result to the first block chain node so that the first block chain node returns the second query result to the first user terminal.
In a third aspect, the present invention also provides a computer device comprising one or more processors and a memory, wherein the memory contains instructions executable by the one or more processors to cause the one or more processors to perform a data query method provided according to embodiments of the present invention.
In a fourth aspect, the present invention also provides a storage medium storing a computer program that causes a computer to execute the data query method provided according to the embodiments of the present invention.
According to the data query method, the computer equipment and the storage medium provided by the embodiments of the invention, the plurality of centralized jvm query servers are deployed in the blockchain network, so that the process of running the blockchain program can separate the service needing to call the virtual machine to load the intelligent contract processing to the jvm query server, thereby ensuring that the performance of executing transaction is not influenced by high concurrent calling of the virtual machine and improving tps of the blockchain system;
the data query method, the computer device and the storage medium provided by some embodiments of the present invention further ensure that the real-time performance of the query service is not affected by network delay by deploying jvm query servers and the block link nodes on the same computer device.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
fig. 1 is a flowchart of a data query method according to an embodiment of the present invention.
Fig. 2 is a flowchart of another data query method according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 is a flowchart of a data query method according to an embodiment of the present invention.
As shown in fig. 1, in this embodiment, the present invention provides a data query method applicable to a blockchain node, where a blockchain network is configured with a plurality of centralized jvm query servers, the method including:
s11: receiving a first user query request; the first user query request is generated by a first user and comprises a first jvm contract name and a plurality of first query parameters;
s13: generating a first index query request according to the first jvm contract name and each first query parameter, and sending the first index query request to a first jvm query server, so that the first jvm query server loads a first jvm contract according to the first jvm contract name in jvm, generates a first index according to each first query parameter, and returns the first index;
s15: receiving a first index, and inquiring a first inquiry result in a block chain database according to the first index;
s17: sending the first query result to a first jvm query server, so that the first jvm query server deserializes the first query result in jvm of loading a first jvm contract to generate a second query result and returns the second query result;
s19: and receiving a second query result, and returning the second query result to the first user terminal.
Specifically, the following takes as an example that 100 user Query requests Query1-Query100 are received successively within a very short time period of a block chain node a, and jvm Query servers a are deployed at the same time on a computer device that deploys the block chain node a, and the above method is exemplarily explained.
Taking the process of processing the user Query request Query1 by the node a as an example:
the user side of the user A generates a user Query request Query1 according to a plurality of Query parameters (such as transaction hash, service related parameters and the like) and a first jvm contract name JvmConrectName 1 of a first jvm contract JvmConrectTracct 1 corresponding to data to be queried, and sends the Query1 to the node A.
In step S11, the node a receives the user Query request Query1 sent from the user end of the user a.
In step S13, the node a generates a first index Query request according to the first jvm contract name jvmclonname 1 and the Query parameters in Query1, and sends the first index Query request to jvm Query server a.
jvm query server a receives the first index query request, firstly loads first jvm contract jvmcontact 1 in jvm according to first jvm contract name jvmcontact name1, then generates first index key1 according to each query parameter in jvm of loading jvmcontact 1, and returns key1 to node a.
In step S15, node a receives key1, and queries the local blockchain database for the first query result value1 according to key 1. It should be noted that the query result value1 is generated by loading jvm of jvmct 1 and performing serialization processing, and the user side cannot analyze the serialized data in general, so that deserialization processing is also required.
In step S17, node a sends value1 to jvm query server a.
jvm after receiving value1, query server a deserializes value1 in jvm which loads jvmclone 1 to generate a second query result, query1, and returns a second query result, query1, to node a.
In step S19, node a receives QueryResult1 and returns QueryResult1 to the user side of user a.
The process of processing the user Query request Query2-Query100 by the node A is the same as the process of processing the Query1, and is not described in detail.
It should be noted that, in the above solution, the node a may process multiple user query requests simultaneously and in parallel, and the jvm query server a may also invoke multiple jvm that respectively load different contracts in parallel to process multiple index query requests and data deserialization in parallel.
Compared with the prior scheme, the process of the running node A needs to simultaneously process the task of executing the transaction and the task of calling a plurality of queries of the virtual machine in parallel; in the scheme provided by the application, the process of the running node A does not need to call the virtual machine when processing a plurality of inquired tasks in parallel, so that the task of processing and executing transaction is not influenced by the parallel call of the virtual machine.
The scheme takes the first jvm query server and the current block link point deployed on the same computer equipment as an example, and the method is exemplarily described;
in another embodiment, each jvm query server may also be deployed on a computer device dedicated to deploy jvm query servers according to actual needs, that is, the computer device that deploys the blockchain node does not locally deploy jvm query servers, in the above solution, each interaction between the blockchain node and the first jvm query server may be performed in a manner that can be understood by those skilled in the art, such as GRPC;
in further embodiments, it is also possible to deploy jvm query servers on computer devices with blockchain nodes deployed, jvm query servers on computer devices dedicated to deploying jvm query servers, etc. according to actual needs.
In the embodiment, the plurality of centralized jvm query servers are deployed in the blockchain network, so that the process of running the blockchain program can separate the service which needs to call the virtual machine to load the intelligent contract processing to the jvm query server, thereby ensuring that the performance of executing transaction is not influenced by high concurrent calling of the virtual machine and improving tps of the blockchain system; meanwhile, jvm query servers and the block link points are deployed on the same computer equipment, so that the real-time performance of the query services is further guaranteed against the influence of network delay.
Fig. 2 is a flowchart of another data query method according to an embodiment of the present invention. The method illustrated in fig. 2 may be performed in conjunction with the method illustrated in fig. 1.
As shown in fig. 2, in this embodiment, the present invention further provides a data query method suitable for jvm query servers, where a blockchain network is configured with a plurality of centralized jvm query servers, the method includes:
s21: receiving a first index query request sent by a first block chain node; the first index query request is generated by a first block chain node according to a first jvm contract name and a plurality of first query parameters after receiving a first user query request; the first user inquiry request is generated by the first user end and comprises a first jvm contract name and each first inquiry parameter;
s22: loading jvm a first jvm contract according to the first jvm contract name;
s23: generating a first index according to each first query parameter in jvm that loads a first jvm contract;
s24: returning the first index to the first block chain node, so that the first block chain node can inquire a first inquiry result in the block chain database according to the first index and send the first inquiry result;
s25: receiving a first query result;
s26: deserializing the first query result in jvm, which loads the first jvm contract, to generate a second query result;
s27: and returning the second query result to the first block chain node so that the first block chain node returns the second query result to the first user terminal.
In a preferred embodiment, the current jvm query server is deployed on the same computer device as the first tile link point.
In another preferred embodiment, each jvm query server is deployed on a computer device dedicated to deploying jvm query servers.
The data query principle of the method shown in fig. 2 can refer to the method shown in fig. 1, and is not described herein again.
Fig. 3 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
As shown in fig. 3, as another aspect, the present application also provides a computer apparatus 300 including one or more Central Processing Units (CPUs) 301 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)302 or a program loaded from a storage section 308 into a Random Access Memory (RAM) 303. In the RAM303, various programs and data necessary for the operation of the apparatus 300 are also stored. The CPU301, ROM302, and RAM303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
The following components are connected to the I/O interface 305: an input portion 306 including a keyboard, a mouse, and the like; an output section 307 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 308 including a hard disk and the like; and a communication section 309 including a network interface card such as a LAN card, a modem, or the like. The communication section 309 performs communication processing via a network such as the internet. A drive 310 is also connected to the I/O interface 305 as needed. A removable medium 311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 310 as necessary, so that a computer program read out therefrom is mounted into the storage section 308 as necessary.
In particular, according to an embodiment of the present disclosure, the method described in any of the above embodiments may be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program comprising program code for performing any of the methods described above. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 309, and/or installed from the removable medium 311.
As yet another aspect, the present application also provides a computer-readable storage medium, which may be the computer-readable storage medium included in the apparatus of the above-described embodiment; or it may be a separate computer readable storage medium not incorporated into the device. The computer readable storage medium stores one or more programs for use by one or more processors in performing the methods described in the present application.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units or modules described in the embodiments of the present application may be implemented by software or hardware. The described units or modules may also be provided in a processor, for example, each unit may be a software program provided in a computer or a mobile intelligent device, or may be a separately configured hardware device. Wherein the designation of a unit or module does not in some way constitute a limitation of the unit or module itself.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the present application. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (8)
1. A data query method is characterized in that a blockchain network is provided with a plurality of centralized jvm query servers, the method is suitable for blockchain nodes, and the method comprises the following steps:
receiving a first user query request; the first user query request is generated by a first user and comprises a first jvm contract name and a plurality of first query parameters;
generating a first index query request according to the first jvm contract name and each first query parameter, and sending the first index query request to a first jvm query server, so that the first jvm query server loads a first jvm contract according to the first jvm contract name in jvm, generates a first index according to each first query parameter, and returns the first index;
receiving the first index, and inquiring a first inquiry result in a block chain database according to the first index;
sending the first query result to the first jvm query server, so that the first jvm query server deserializes the first query result in jvm of loading the first jvm contract to generate and return a second query result;
and receiving the second query result, and returning the second query result to the first user terminal.
2. The method of claim 1, wherein the first jvm query server is deployed on the same computer device as the current tile link point.
3. The method of claim 1, wherein each of the jvm query servers is deployed on a computer device dedicated to deploying jvm query servers.
4. A data query method, wherein a plurality of centralized jvm query servers are configured in a blockchain network, the method is applied to the jvm query server, and the method comprises the following steps:
receiving a first index query request sent by a first block chain node; the first index query request is generated by the first blockchain node according to a first jvm contract name and a plurality of first query parameters after receiving a first user query request; the first user query request is generated by a first user end and comprises the first jvm contract name and each first query parameter;
loading a first jvm contract according to the first jvm contract name in jvm;
generating a first index from each of the first query parameters in jvm that loads the first jvm contract;
returning the first index to the first block chain node, so that the first block chain node can inquire a first inquiry result in a block chain database according to the first index and send the first inquiry result;
receiving the first query result;
deserializing the first query result in jvm of loading the first jvm contract to generate a second query result;
and returning the second query result to the first block chain node, so that the first block chain node returns the second query result to the first user end.
5. The method of claim 4, wherein the current jvm query server is deployed on the same computer device as the first tile link point.
6. The method of claim 4, wherein each of the jvm query servers is deployed on a computer device dedicated to deploying jvm query servers.
7. A computer device, the device comprising:
one or more processors;
a memory for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method recited in any of claims 1-6.
8. A storage medium storing a computer program, characterized in that the program, when executed by a processor, implements the method according to any one of claims 1-6.
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