CN112541001A - Data query method, device, storage medium and equipment - Google Patents

Data query method, device, storage medium and equipment Download PDF

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Publication number
CN112541001A
CN112541001A CN201910901427.1A CN201910901427A CN112541001A CN 112541001 A CN112541001 A CN 112541001A CN 201910901427 A CN201910901427 A CN 201910901427A CN 112541001 A CN112541001 A CN 112541001A
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query
database
information
temporary
node
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CN201910901427.1A
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Chinese (zh)
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赵振宇
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Beijing Gridsum Technology Co Ltd
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Beijing Gridsum Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/242Query formulation
    • G06F16/2433Query languages
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/248Presentation of query results

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention relates to the technical field of databases, discloses a data query method, a data query device, a data query storage medium and data query equipment, and solves the problems that in the prior art, when different databases are used in the same system, different query statements need to be supported, and the system is complex to process. The method comprises the following steps: receiving a query statement for querying database information; analyzing the query statement to obtain a logical operation syntax tree corresponding to the query statement; and obtaining a query result corresponding to the query statement according to the logical operation syntax tree. The embodiment of the invention is suitable for the data query process in the query database.

Description

Data query method, device, storage medium and equipment
Technical Field
The invention relates to the technical field of databases, in particular to a data query method, a data query device, a storage medium and data query equipment.
Background
In the prior art, different databases may exist in the same system, and different query statements are required to be used when querying the database, for example, sql statements are used for querying relational databases such as sql server and mysql. But the query statement is different for the database with the same storage structure. Especially, when the system changes the storage database, the user or the developer needs to use a new query statement, which increases the learning cost of the user and the development cost of the developer, and also increases the complexity of the system.
Disclosure of Invention
The embodiment of the invention aims to provide a data query method, a data query device, a storage medium and data query equipment, and solves the problems that different query statements need to be supported and the system processing is complex when different databases are used in the same system in the prior art.
In order to achieve the above object, an embodiment of the present invention provides a data query method, where the method includes: receiving a query statement for querying database information; analyzing the query statement to obtain a logical operation syntax tree corresponding to the query statement; and obtaining a query result corresponding to the query statement according to the logical operation syntax tree.
Further, the logical operation syntax tree includes node query information and a logical relationship between the node query information.
Further, the obtaining of the query result corresponding to the query statement according to the logical operation syntax tree includes: sending each node query information in the logical operation syntax tree to the database; receiving temporary query results corresponding to the query information of each node returned by the database; according to the logical relationship among the node query information, logically operating each corresponding temporary query result to obtain temporary query information; sending the temporary query information to the database; and receiving a query result corresponding to the temporary query information returned by the database.
Further, the query statement further includes a preset data structure, and the receiving of the query result corresponding to the temporary query information returned by the database includes: and receiving a storage structure corresponding to the temporary query information returned by the database as a query result of the preset data structure.
Further, the preset data structure is any one of a graph structure, a table structure or a tree structure.
Correspondingly, an embodiment of the present invention further provides a data query apparatus, including: a receiving unit, configured to receive a query statement for querying database information; the analysis unit is used for analyzing the query statement to obtain a logical operation syntax tree corresponding to the query statement; and the query unit is used for obtaining a query result corresponding to the query statement according to the logical operation syntax tree.
Further, the logical operation syntax tree includes node query information and a logical relationship between the node query information.
Further, the query unit is further configured to send query information of each node in the logical operation syntax tree to the database; receiving temporary query results corresponding to the query information of each node returned by the database; according to the logical relationship among the node query information, logically operating each corresponding temporary query result to obtain temporary query information; sending the temporary query information to the database; and receiving a query result corresponding to the temporary query information returned by the database.
Further, the query statement further includes a preset data structure, and the query unit is further configured to receive a storage structure corresponding to the temporary query information returned by the database as a query result of the preset data structure.
Further, the preset data structure is any one of a graph structure, a table structure or a tree structure.
Correspondingly, the embodiment of the present invention further provides a storage medium, where the storage medium includes a stored program, and when the program runs, the device on which the storage medium is located is controlled to execute the data query method described above.
Correspondingly, the embodiment of the invention also provides equipment, which comprises at least one processor, at least one memory and a bus, wherein the memory and the bus are connected with the processor; the processor and the memory complete mutual communication through the bus; the processor is configured to call program instructions in the memory to perform the data query method as described above.
According to the technical scheme, after receiving the query statement for querying the information of the database, the query statement is analyzed, the logical operation syntax tree corresponding to the query statement is obtained, and then the query result corresponding to the query statement is obtained according to the logical operation syntax tree. The embodiment of the invention solves the problems that different query statements need to be supported and the system processing is complex when different databases are used in the same system in the prior art, can be suitable for data query of any kind of databases by using the uniform query statements, does not need to develop different query statements aiming at different databases, reduces the complexity of the system and improves the query efficiency.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic flow chart of a data query method according to an embodiment of the present invention;
FIG. 2 is a flow chart of another data query method provided by the embodiment of the invention;
FIG. 3 is a diagram of a syntax tree for logical operations provided by an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a data query device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an apparatus according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
Fig. 1 is a schematic flowchart of a data query method according to an embodiment of the present invention. As shown in fig. 1, the method is applied to a data query device, and the method comprises the following steps:
step 101, receiving a query statement for querying database information;
102, analyzing the query statement to obtain a logical operation syntax tree corresponding to the query statement;
and 103, obtaining a query result corresponding to the query statement according to the logical operation syntax tree.
Wherein, the query statement is a statement describing information to be queried in the database. And analyzing the query statement to obtain a logical operation syntax tree comprising the node query information and the relation among the node query information. And analyzing the query statement by using javascript grammar. After the logical operation syntax tree is obtained, sending each node query information in the logical operation syntax tree to the database, namely calling a uniform query interface in the database, after each node query information is sent to the database, the database finds a temporary query result meeting conditions according to the node query information, and returns the temporary query result corresponding to each node query information to the data query device. And then, according to the logical relationship among the node query information, for example, the logical relationship such as and, or, and the like among the node query information, logically operating each corresponding temporary query result to obtain temporary query information. And then, sending the temporary query information to the database, searching a query result which finally meets the condition by the database according to the temporary query information, and returning the query result to the data query device. In addition, a preset data structure of a query result returned by the database can be set in the query statement. For example, the preset data structure is any one of a graph structure, a table structure, or a tree structure. The database can return the query result to the data query device according to a preset data structure set in the query statement and a storage structure of the preset data structure.
To facilitate understanding of the embodiment of the present invention, fig. 2 is a schematic flowchart of a data query method provided by the embodiment of the present invention. As shown in fig. 2, the method is applied to a data query device, and the method includes the following steps:
step 201, receiving a query statement for querying database information, wherein the query statement further comprises a preset data structure;
for example, the query statement is to query a node in the database that is older than 30 years old, and the node name that has a relationship with the node older than 30 years old is an employee.
Step 202, analyzing the query statement to obtain a logical operation syntax tree corresponding to the query statement, where the logical operation syntax tree includes node query information and a logical relationship between the node query information.
After the query statement in the above example is analyzed, the obtained node query information is "the age attribute of the queried node is greater than 30 years old" and "the node name related to the queried node is: employee ", the logical relationship between the query information of the two nodes is" and ", and as shown in fig. 3, the logical relationship is a logical operation syntax tree obtained after the query statement is analyzed.
After the parsing of the query statement is completed, the obtained logical operation syntax tree is executed, and a unified query interface of the database needs to be called, that is, the unified query interface must satisfy the following three query functions:
1) executing input inquiry information of each node to obtain a temporary inquiry result corresponding to the inquiry information of each node;
2) according to the logical relationship among the node query information, logically operating each corresponding temporary query result to obtain temporary query information;
3) and returning a query result corresponding to the query statement finally through the temporary query information.
That is, through the unified query interface, a user does not need to know the query mode of the bottom-layer database, the processing mode in the database is separated from the processing mode of the data query device, the data query device does not need to care about the execution mode and the intermediate result in the database, and only needs to receive the temporary query result, so that the database can be called to return the final query result.
Step 203, sending each node query information in the logical operation syntax tree to the database;
step 204, receiving temporary query results corresponding to the query information of each node returned by the database;
step 205, according to the logical relationship between the query information of each node, logically calculating each corresponding temporary query result to obtain temporary query information;
step 206, sending the temporary query information to the database;
and step 207, receiving a query result of the preset data structure corresponding to the temporary query information returned by the database.
In conjunction with the syntax tree of logical operations shown in fig. 3, the node query information "the age attribute of the queried node is greater than 30 years old" and "the node name associated with the queried node is: and inputting the employee' into the database, and inquiring by the database to obtain two temporary inquiry results corresponding to the inquiry information of the two nodes. For example, the two temporary query results corresponding to the two node query information are a and b, respectively. Because the logical relationship between the query information of the two nodes is AND, the temporary query results a and b are combined to obtain temporary query information c, and then the temporary query information c is sent to the database, the database returns the final query result corresponding to the temporary query information, and the query result is returned according to the storage structure of the preset data structure.
By the embodiment of the invention, the query of various databases can be realized, and the query statements in the embodiment of the invention can be used for querying no matter which database is used, and the same storage structure can be returned, so that the development of corresponding query languages for each database is not needed, and the complexity of the system is reduced. In addition, for the uniform query interface in the database, technical support is provided for a developer to query the database, development efficiency is provided, and for a user, a specific query mode of the database does not need to be concerned through the uniform query interface.
Correspondingly, fig. 4 is a schematic structural diagram of a data query apparatus according to an embodiment of the present invention. As shown in fig. 4, the apparatus includes: a receiving unit 41, configured to receive a query statement for querying database information; the parsing unit 42 is configured to parse the query statement to obtain a logical operation syntax tree corresponding to the query statement; and the query unit 43 is configured to obtain a query result corresponding to the query statement according to the logical operation syntax tree.
Further, the logical operation syntax tree includes node query information and a logical relationship between the node query information.
Further, the query unit is further configured to send query information of each node in the logical operation syntax tree to the database; receiving temporary query results corresponding to the query information of each node returned by the database; according to the logical relationship among the node query information, logically operating each corresponding temporary query result to obtain temporary query information; sending the temporary query information to the database; and receiving a query result corresponding to the temporary query information returned by the database.
Further, the query statement further includes a preset data structure, and the query unit is further configured to receive a storage structure corresponding to the temporary query information returned by the database as a query result of the preset data structure.
Further, the preset data structure is any one of a graph structure, a table structure or a tree structure.
The operation process of the device refers to the implementation process of the data query method.
The data inquiry device comprises a processor and a memory, wherein the receiving unit, the analyzing unit, the inquiring unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to one or more, and the data stored in each database can be ensured to be kept synchronous by adjusting the kernel parameters.
Correspondingly, an embodiment of the present invention further provides a storage medium, where the storage medium includes a stored program, and when the program runs, the device on which the storage medium is located is controlled to execute the data query method in the foregoing embodiment.
Correspondingly, fig. 5 is a schematic structural diagram of an apparatus according to an embodiment of the present invention, and as shown in fig. 5, the apparatus 50 includes at least one processor 51, and at least one memory 52 and a bus 53 connected to the processor 51; the processor and the memory complete mutual communication through the bus; the processor is configured to call the program instructions in the memory to execute the data query method according to the above embodiment.
The embodiment of the invention provides a processor, which is used for running a program, wherein the data query method is executed when the program runs.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: receiving a query statement for querying database information; analyzing the query statement to obtain a logical operation syntax tree corresponding to the query statement; and obtaining a query result corresponding to the query statement according to the logical operation syntax tree.
Further, the logical operation syntax tree includes node query information and a logical relationship between the node query information.
Further, the obtaining of the query result corresponding to the query statement according to the logical operation syntax tree includes: sending each node query information in the logical operation syntax tree to the database; receiving temporary query results corresponding to the query information of each node returned by the database; according to the logical relationship among the node query information, logically operating each corresponding temporary query result to obtain temporary query information; sending the temporary query information to the database; and receiving a query result corresponding to the temporary query information returned by the database.
Further, the query statement further includes a preset data structure, and the receiving of the query result corresponding to the temporary query information returned by the database includes: and receiving a storage structure corresponding to the temporary query information returned by the database as a query result of the preset data structure.
Further, the preset data structure is any one of a graph structure, a table structure or a tree structure.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. 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.
In a typical configuration, a device includes one or more processors (CPUs), memory, and a bus. The device may also include input/output interfaces, network interfaces, and the like.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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 above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (10)

1. A method for data query, the method comprising:
receiving a query statement for querying database information;
analyzing the query statement to obtain a logical operation syntax tree corresponding to the query statement;
and obtaining a query result corresponding to the query statement according to the logical operation syntax tree.
2. The data query method of claim 1, wherein the logical operation syntax tree includes node query information and logical relationships between the respective node query information.
3. The data query method of claim 2, wherein obtaining the query result corresponding to the query statement according to the logical operation syntax tree comprises:
sending each node query information in the logical operation syntax tree to the database;
receiving temporary query results corresponding to the query information of each node returned by the database;
according to the logical relationship among the node query information, logically operating each corresponding temporary query result to obtain temporary query information;
sending the temporary query information to the database;
and receiving a query result corresponding to the temporary query information returned by the database.
4. The data query method according to claim 1, wherein the query statement further includes a preset data structure, and the receiving the query result corresponding to the temporary query information returned by the database includes:
and receiving a storage structure corresponding to the temporary query information returned by the database as a query result of the preset data structure.
5. The data query method of claim 4, wherein the predetermined data structure is any one of a graph structure, a table structure or a tree structure.
6. A data query apparatus, comprising:
a receiving unit, configured to receive a query statement for querying database information;
the analysis unit is used for analyzing the query statement to obtain a logical operation syntax tree corresponding to the query statement;
and the query unit is used for obtaining a query result corresponding to the query statement according to the logical operation syntax tree.
7. The apparatus according to claim 6, wherein the syntax tree for logical operations comprises node query information and logical relationships between the node query information.
8. The data query device of claim 7, wherein the query unit is further configured to send query information of each node in the logical operation syntax tree to the database; receiving temporary query results corresponding to the query information of each node returned by the database; according to the logical relationship among the node query information, logically operating each corresponding temporary query result to obtain temporary query information; sending the temporary query information to the database; and receiving a query result corresponding to the temporary query information returned by the database.
9. A storage medium, comprising a stored program, wherein when the program runs, a device on which the storage medium is located is controlled to execute the data query method according to any one of claims 1 to 5.
10. An apparatus comprising at least one processor, and at least one memory, bus connected to the processor; the processor and the memory complete mutual communication through the bus; the processor is used for calling the program instructions in the memory to execute the data query method of any one of the claims 1-5.
CN201910901427.1A 2019-09-23 2019-09-23 Data query method, device, storage medium and equipment Pending CN112541001A (en)

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CN114328595A (en) * 2021-11-30 2022-04-12 苏州浪潮智能科技有限公司 Data query method and device, electronic equipment and storage medium
CN116126865A (en) * 2023-02-17 2023-05-16 安芯网盾(北京)科技有限公司 Proxy method and device for mixed use of multiple databases

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CN110032575A (en) * 2019-04-15 2019-07-19 网易(杭州)网络有限公司 Data query method, apparatus, equipment and storage medium
CN110096513A (en) * 2019-04-10 2019-08-06 阿里巴巴集团控股有限公司 A kind of data query, fund checking method and device

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CN105260403A (en) * 2015-09-22 2016-01-20 广东同望科技股份有限公司 Universal cross-database access method
US20170249361A1 (en) * 2016-02-29 2017-08-31 International Business Machines Corporation Detecting logical relationships based on structured query statements
CN110096513A (en) * 2019-04-10 2019-08-06 阿里巴巴集团控股有限公司 A kind of data query, fund checking method and device
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CN114328595A (en) * 2021-11-30 2022-04-12 苏州浪潮智能科技有限公司 Data query method and device, electronic equipment and storage medium
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CN116126865A (en) * 2023-02-17 2023-05-16 安芯网盾(北京)科技有限公司 Proxy method and device for mixed use of multiple databases
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