CN111813779A - Data query method, system, device and medium based on data interface configuration - Google Patents

Data query method, system, device and medium based on data interface configuration Download PDF

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Publication number
CN111813779A
CN111813779A CN202010655449.7A CN202010655449A CN111813779A CN 111813779 A CN111813779 A CN 111813779A CN 202010655449 A CN202010655449 A CN 202010655449A CN 111813779 A CN111813779 A CN 111813779A
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China
Prior art keywords
data
data interface
interface
module
data table
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CN202010655449.7A
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Chinese (zh)
Inventor
李文广
许�鹏
谷银银
吴小龙
杨彦青
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Ctrip Travel Network Technology Shanghai Co Ltd
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Ctrip Travel Network Technology Shanghai 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
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • G06F16/2282Tablespace storage structures; Management thereof
    • 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
    • G06F16/23Updating
    • 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
    • G06F16/25Integrating or interfacing systems involving database management systems
    • 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
    • G06F16/27Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor

Abstract

The invention discloses a data query method, a system, equipment and a medium based on data interface configuration, wherein the data query method based on the data interface configuration comprises the following steps: configuring data interface information, wherein the data interface information comprises a structured query language and an object data table; acquiring a request instruction of a data interface; acquiring a configured structured query language according to a request instruction of a data interface; and querying the target data from the configured object data table according to the structured query language. According to the invention, through configuring the data interface information, when a call interface request is received, the target data is directly inquired from the object data table for the normal call interface according to the structured query language, so that the operation of repeatedly developing the interface is avoided, and the working efficiency is improved.

Description

Data query method, system, device and medium based on data interface configuration
Technical Field
The present invention relates to the field of data interface technologies, and in particular, to a data query method, system, device, and medium based on data interface configuration.
Background
In the prior art, a query mode of Redis (remote dictionary service) is single, and specifically, a value (function) is queried through a unique key. This query approach is effective in simple unique value queries, but when multiple keyword queries are encountered from the same data source, multiple data sources need to be maintained. For example, in the interface of price trends, various combinations of price trends are provided: domestic, international, single-pass, round-trip, airline, flight. Price data in a certain takeoff time range in the history period is required to be returned according to the query time, so that data of a plurality of time dates are required to be stored, and the price in a certain time range is required to be cyclically taken during the query.
At present, query operations provided by a data interface require storage of massive amounts of data. But the on-line of each interface can be realized only after project resource application (including machine resources and personnel resources), data synchronization, development and test processes. The whole process is completed, the process takes 2-3 days per person, and the process is basically repeated work, thereby intangibly reducing the work efficiency.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a data query method, a system, equipment and a medium based on data interface configuration in order to overcome the defects of repeated development of interfaces and low working efficiency of data query provided by a data interface in the prior art.
The invention solves the technical problems through the following technical scheme:
the invention provides a data query method based on data interface configuration in a first aspect, which comprises the following steps:
configuring data interface information, wherein the data interface information comprises a structured query language and an object data table;
acquiring a request instruction of the data interface;
acquiring the configured structured query language according to a request instruction of the data interface;
and querying target data from the configured object data table according to the structured query language.
Preferably, the data interface information further includes: a verification code;
the verification code is used for verifying the validity of the request instruction of the data interface.
Preferably, the step of configuring the object data table includes:
creating an object data table;
synchronizing data in the original data table to the object data table;
and deleting the expired data in the object data table according to the data expiration statement.
Preferably, the step of obtaining the request instruction of the data interface further includes: testing the data interface, and if a request returns, testing the data interface normally; and if no request is returned, the data interface is tested to be abnormal.
The second aspect of the present invention provides a data query system configured based on a data interface, including: the system comprises a configuration module, a first acquisition module, a second acquisition module and a query module;
the configuration module is used for configuring data interface information, and the data interface information comprises a structured query language and an object data table;
the first acquisition module is used for acquiring a request instruction of the data interface;
the second obtaining module is used for obtaining the configured structured query language according to the request instruction of the data interface;
the query module is used for querying target data from the configured object data table according to the structured query language.
Preferably, the data interface information further includes: the data query system also comprises a verification module;
and the verification module is used for verifying the legality of the request instruction of the data interface according to the verification code.
Preferably, the configuration module comprises: a creating unit, a synchronizing unit and a deleting unit;
the creating unit is used for creating an object data table;
the synchronization unit is used for synchronizing data in the original data table to the object data table;
and the deleting unit is used for deleting the expired data in the object data table according to the data expiration statement.
Preferably, the data query system further comprises a test module;
the test module is used for testing the data interface, and if a request returns, the data interface is tested normally; and if no request is returned, the data interface is tested to be abnormal.
A third aspect of the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the processor implements the data query method based on the data interface configuration according to the first aspect.
A fourth aspect of the present invention provides a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the data query method based on the data interface configuration according to the first aspect.
The positive progress effects of the invention are as follows:
the invention provides a data query method, a system, equipment and a medium based on data interface configuration.
Drawings
Fig. 1 is a flowchart of a data query method based on data interface configuration according to embodiment 1 of the present invention.
Fig. 2 is a flowchart of a configuration object data table according to embodiment 1 of the present invention.
Fig. 3 is a schematic block diagram of a data query system configured based on a data interface according to embodiment 2 of the present invention.
Fig. 4 is a schematic structural diagram of a configuration module in the data query system configured based on the data interface according to embodiment 2 of the present invention.
Fig. 5 is a schematic structural diagram of an electronic device according to embodiment 3 of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
Example 1
As shown in fig. 1, the present embodiment provides a data query method based on data interface configuration, including:
step 101, configuring data interface information.
In this embodiment, the data interface information includes a Structured Query Language (SQL), an object data table, and a validation code; namely, the configuration structured query language, the configuration object data table, and the configuration validation code.
And 102, acquiring a request instruction of a data interface.
In this embodiment, the verification code is used to verify the validity of the request instruction of the data interface.
Step 103, testing the data interface, if a request returns, testing the data interface normally, and executing step 104; if no request is returned, step 106 is performed.
And 104, acquiring the configured structured query language according to the request instruction of the data interface.
In this embodiment, the structured query language is automatically configured according to parameter information such as fields that need to be returned and fields that need to be requested.
And 105, inquiring target data from the configured object data table according to the structured query language.
And 106, testing the data interface to be abnormal, and displaying abnormal information on a user page.
In this embodiment, the object data table is a create (data storage system) data table.
In this embodiment, a user configures Structured Query Language (SQL) and a verification code in a configuration interface, and the configured SQL and the verification code are automatically stored in a QCONF (distributed configuration management tool) configuration system, when a server receives a request instruction of a data interface, the server first obtains the verification code from the QCONF configuration system, verifies the validity of the request instruction of the data interface received by the server through the verification code, if the request instruction of the data interface is valid, the server tests the data interface through a test tool, if a request is returned, it indicates that the data interface is tested normally, and the server obtains the structured query language from the QCONF configuration system according to the request instruction of the data interface, and queries target data from a create data table according to the structured query language.
And if the request instruction of the data interface is illegal, the server refuses the request instruction.
When the server tests the data interface through the testing tool, if no request is returned, the data interface is indicated to be abnormal in testing, and the user page displays abnormal information.
As shown in fig. 2, in this embodiment, the configuring the object data table in step 101 includes:
step 1011, create an object data table.
Step 1012, synchronize the data in the original data table to the object data table.
In this embodiment, the original data table is a Hive (data warehouse platform) data table.
In this embodiment, a data synchronization process is configured on the configuration interface, the data synchronization process is automatically synchronized into a zeus system after being generated, and the system automatically synchronizes data in the Hive data table into the acrylate data table every day according to the setting. The setting is performed as required, and is not particularly limited.
And step 1013, deleting the expired data in the object data table according to the data expiration statement.
In this embodiment, the data expiration statement deletes the expired data in the acrylate data table to release the storage space of the acrylate data table.
In this embodiment, the synchronous data flow is templated by zeus api (calling interface of aeus application), and the data synchronous flow is uploaded to the zeus system by one key. In the Zeus system, data in the hive data table is synchronized into the cata data table in a spark shell mode, a former jar (computer file format) packet mode is abandoned, ten million levels of data can be imported within a few minutes, and the speed of importing or synchronizing is facilitated by reducing indexes, doc _ values and refreshing intervals.
In this embodiment, 1 crate cluster is deployed in production, where one cluster is composed of 12 8-core 24G memory virtual machines. 12 data tables are established in the cluster, 10+ hundred million pieces of data are stored, actual test of production is carried out, the performance meets the use requirements of most calling parties, the flow of online of a system data interface is simplified, partial development resources are released, the quality of the data is ensured, and the online time of the data interface is shortened.
In the embodiment, by configuring the data interface information, when the call interface request is received, the target data is directly inquired from the object data table for the normal call interface according to the structured query language, so that the operation of repeatedly developing the interface is avoided, and the working efficiency is improved.
Example 2
As shown in fig. 3, the present embodiment provides a data query system configured based on a data interface, including: the system comprises a configuration module 1, a first acquisition module 2, a verification module 3, a test module 4, a second acquisition module 5 and an inquiry module 6;
the configuration module 1 is used for configuring data interface information; in this embodiment, the data interface information includes a Structured Query Language (SQL), an object data table, and a validation code; namely, the configuration module 1 is used for configuring the structured query language, the configuration object data table and the configuration verification code.
The first obtaining module 2 is configured to obtain a request instruction of a data interface.
The verification module 3 is used for verifying the validity of the request instruction of the data interface according to the verification code.
The test module 4 is used for testing the data interface, if a request returns, the data interface is tested normally, and the second acquisition module 5 is called; if no request is returned, the data interface test is abnormal, and the user page displays abnormal information.
The second obtaining module 5 is configured to obtain the configured structured query language according to the request instruction of the data interface.
In this embodiment, the structured query language is automatically configured according to parameter information such as fields that need to be returned and fields that need to be requested.
The query module 6 is used for querying the target data from the configured object data table according to the structured query language.
In this embodiment, the object data table is a create (data storage system) data table.
In this embodiment, a user configures Structured Query Language (SQL) and a verification code in a configuration interface, and the configured SQL and the verification code are automatically stored in a QCONF (distributed configuration management tool) configuration system, when a server receives a request instruction of a data interface, the server first obtains the verification code from the QCONF configuration system, verifies the validity of the request instruction of the data interface received by the server through the verification code, if the request instruction of the data interface is valid, the server tests the data interface through a test tool, if a request is returned, it indicates that the data interface is tested normally, and the server obtains the structured query language from the QCONF configuration system according to the request instruction of the data interface, and queries target data from a create data table according to the structured query language.
And if the request instruction of the data interface is illegal, the server refuses the request instruction.
When the server tests the data interface through the testing tool, if no request is returned, the data interface is indicated to be abnormal in testing, and the user page displays abnormal information.
As shown in fig. 4, the configuration module 1 includes: a creation unit 11, a synchronization unit 12, and a deletion unit 13;
the creating unit 11 is used for creating an object data table;
the synchronization unit 12 is configured to synchronize data in the original data table to the object data table;
in this embodiment, the original data table is a Hive (data warehouse platform) data table.
In this embodiment, a data synchronization process is configured on the configuration interface, the data synchronization process is automatically synchronized into a zeus system after being generated, and the system automatically synchronizes data in the Hive data table into the acrylate data table every day according to the setting. The setting is performed as required, and is not particularly limited.
The deleting unit 13 is configured to delete the expired data in the object data table according to the data expiration statement.
In this embodiment, the data expiration statement deletes the expired data in the acrylate data table to release the storage space of the acrylate data table.
In this embodiment, the synchronous data flow is templated by zeus api (calling interface of aeus application), and the data synchronous flow is uploaded to the zeus system by one key. In the Zeus system, data in the hive data table is synchronized into the acrylate data table in a spark shell mode, a former jar (computer file format) packet mode is abandoned, ten million levels of data can be imported within a few minutes, and the data structure of the acrylate data table is reduced, indexes, doc _ values and refreshing intervals are beneficial to the importing or synchronizing speed.
In this embodiment, 1 crate cluster is deployed in production, where one cluster is composed of 12 8-core 24G memory virtual machines. 12 data tables are established in the cluster, 10+ hundred million pieces of data are stored, actual test of production is carried out, the performance meets the use requirements of most calling parties, the flow of online of a system data interface is simplified, partial development resources are released, the quality of the data is ensured, and the online time of the data interface is shortened.
In the embodiment, by configuring the data interface information, when the call interface request is received, the target data is directly inquired from the object data table for the normal call interface according to the structured query language, so that the operation of repeatedly developing the interface is avoided, and the working efficiency is improved.
Example 3
Fig. 5 is a schematic structural diagram of an electronic device according to embodiment 3 of the present invention. The electronic device comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to implement the data query method based on the data interface configuration of the embodiment 1. The electronic device 30 shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 5, the electronic device 30 may be embodied in the form of a general purpose computing device, which may be, for example, a server device. The components of the electronic device 30 may include, but are not limited to: the at least one processor 31, the at least one memory 32, and a bus 33 connecting the various system components (including the memory 32 and the processor 31).
The bus 33 includes a data bus, an address bus, and a control bus.
The memory 32 may include volatile memory, such as Random Access Memory (RAM)321 and/or cache memory 322, and may further include Read Only Memory (ROM) 323.
Memory 32 may also include a program/utility 325 having a set (at least one) of program modules 324, such program modules 324 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The processor 31 executes various functional applications and data processing, such as a data query method based on a data interface configuration provided in embodiment 1 of the present invention, by executing the computer program stored in the memory 32.
The electronic device 30 may also communicate with one or more external devices 34 (e.g., keyboard, pointing device, etc.). Such communication may be through input/output (I/O) interfaces 35. Also, the resulting device 30 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via a network adapter 36. As shown in FIG. 5, network adapter 36 communicates with the other modules of model-generating device 30 via bus 33. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the model-generating device 30, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module according to embodiments of the invention. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
Example 4
The present embodiment provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the data query method based on the data interface configuration provided in embodiment 1.
More specific examples, among others, that the readable storage medium may employ may include, but are not limited to: a portable disk, a hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible implementation manner, the present invention can also be implemented in the form of a program product, which includes program code for causing a terminal device to execute the steps of implementing the data query method based on data interface configuration described in embodiment 1 when the program product runs on the terminal device.
Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may be executed entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device or entirely on the remote device.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.

Claims (10)

1. A data query method based on data interface configuration is characterized by comprising the following steps:
configuring data interface information, wherein the data interface information comprises a structured query language and an object data table;
acquiring a request instruction of the data interface;
acquiring the configured structured query language according to a request instruction of the data interface;
and querying target data from the configured object data table according to the structured query language.
2. The data query method based on data interface configuration of claim 1, wherein the data interface information further comprises: a verification code;
the verification code is used for verifying the validity of the request instruction of the data interface.
3. The data query method based on the data interface configuration as claimed in claim 1, wherein the step of configuring the object data table comprises:
creating an object data table;
synchronizing data in the original data table to the object data table;
and deleting the expired data in the object data table according to the data expiration statement.
4. The data query method based on the data interface configuration as claimed in claim 1, wherein the step of obtaining the request instruction of the data interface further comprises: testing the data interface, and if a request returns, testing the data interface normally; and if no request is returned, the data interface is tested to be abnormal.
5. A data query system configured based on a data interface, comprising: the system comprises a configuration module, a first acquisition module, a second acquisition module and a query module;
the configuration module is used for configuring data interface information, and the data interface information comprises a structured query language and an object data table;
the first acquisition module is used for acquiring a request instruction of the data interface;
the second obtaining module is used for obtaining the configured structured query language according to the request instruction of the data interface;
the query module is used for querying target data from the configured object data table according to the structured query language.
6. The data query system as recited in claim 5, wherein the data interface information further comprises: the data query system also comprises a verification module;
and the verification module is used for verifying the legality of the request instruction of the data interface according to the verification code.
7. The data query system as recited in claim 5, wherein the configuration module comprises: a creating unit, a synchronizing unit and a deleting unit;
the creating unit is used for creating an object data table;
the synchronization unit is used for synchronizing data in the original data table to the object data table;
and the deleting unit is used for deleting the expired data in the object data table according to the data expiration statement.
8. The data query system as recited in claim 5, wherein the data query system further comprises a test module;
the test module is used for testing the data interface, and if a request returns, the data interface is tested normally; and if no request is returned, the data interface is tested to be abnormal.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the data query method based on the data interface configuration according to any one of claims 1 to 4 when executing the computer program.
10. 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 data query method based on the data interface configuration according to any one of claims 1 to 4.
CN202010655449.7A 2020-07-09 2020-07-09 Data query method, system, device and medium based on data interface configuration Pending CN111813779A (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109857803A (en) * 2018-12-13 2019-06-07 杭州数梦工场科技有限公司 Method of data synchronization, device, equipment, system and computer readable storage medium
US20190370370A1 (en) * 2018-06-04 2019-12-05 International Business Machines Corporation Autonomous generation of a graph query language interface on top of an application programming interface
CN110727684A (en) * 2019-10-08 2020-01-24 浪潮软件股份有限公司 Incremental data synchronization method for big data statistical analysis
CN111104421A (en) * 2019-12-31 2020-05-05 新奥数能科技有限公司 Data query method and device based on data interface standard configuration
CN111107137A (en) * 2019-12-06 2020-05-05 携程旅游信息技术(上海)有限公司 Communication data synchronization and processing method and system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190370370A1 (en) * 2018-06-04 2019-12-05 International Business Machines Corporation Autonomous generation of a graph query language interface on top of an application programming interface
CN109857803A (en) * 2018-12-13 2019-06-07 杭州数梦工场科技有限公司 Method of data synchronization, device, equipment, system and computer readable storage medium
CN110727684A (en) * 2019-10-08 2020-01-24 浪潮软件股份有限公司 Incremental data synchronization method for big data statistical analysis
CN111107137A (en) * 2019-12-06 2020-05-05 携程旅游信息技术(上海)有限公司 Communication data synchronization and processing method and system
CN111104421A (en) * 2019-12-31 2020-05-05 新奥数能科技有限公司 Data query method and device based on data interface standard configuration

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