CN111831274A - Metadata analysis engine configuration system, method, terminal and readable storage medium - Google Patents
Metadata analysis engine configuration system, method, terminal and readable storage medium Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/34—Graphical or visual programming
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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
- G06F16/24—Querying
- G06F16/242—Query formulation
- G06F16/2433—Query languages
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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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24552—Database cache management
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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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24564—Applying rules; Deductive queries
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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
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
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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
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/907—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
Abstract
The invention provides a metadata analysis engine configuration system, a method, a terminal and a readable storage medium, comprising the following steps: a metadata engine subsystem; the metadata engine subsystem includes: the system comprises a metadata loader, an interface renderer, an API component, an SQL builder and an SQL executor; the metadata loader is respectively connected with the interface renderer and the API component and respectively pushes metadata to the interface renderer and the API component; the API component is respectively connected with the SQL builder and the SQL executor; the API component sends a SQL construction control instruction to the SQL builder; the SQL builder builds SQL and sends the execution SQL to an SQL actuator; the SQL executor then feeds data back to the API component. The invention can reduce professional requirements of practitioners, improve development efficiency and construction quality, and effectively solve the problems encountered in information-based construction.
Description
Technical Field
The present invention relates to the field of metadata processing technologies, and in particular, to a metadata parsing engine configuration system, a metadata parsing engine configuration method, a terminal, and a readable storage medium.
Background
Metadata, also called metadata, is data describing data, information describing attributes of the data, and is used to support functions such as indicating storage locations, history data, resource lookup, file records, and the like.
In the information project construction process, the information project construction process can be divided into a data filling system, a process approval system, a statistical analysis system, a big data computing system and a demand customization system according to business scenes, wherein about 10% of all the business systems have the same function (authority functions such as organization, user, role and the like), about 60% of all the data filling systems have similar filling function, about 70% of the process approval system has similar process, 60% of documents have similar degree, about 80% of graphs displayed by the statistical analysis system has similar degree and the like.
In a traditional development mode, various system functions are realized by writing codes. On the one hand, the complexity of the system has high requirements on professional qualities of developers, so that the output quality can be guaranteed, and on the other hand, repeated work of similarity of system functions and repeated production of requirements occupies the scarce project resources, so that the requirements of information-based construction project personnel are high, the output quality is uneven, the development period is long, the customer satisfaction is low, and the input cost is high.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a method for reducing the threshold of a practitioner and saving the labor input; and (5) unifying output standards and shielding quality difference caused by personnel difference. In particular to the four aspects.
A first aspect relates to a metadata parsing engine configuration system, comprising: a metadata engine subsystem;
the metadata engine subsystem includes: the system comprises a metadata loader, an interface renderer, an API component, an SQL builder and an SQL executor;
the metadata loader is respectively connected with the interface renderer and the API component and respectively pushes metadata to the interface renderer and the API component;
the API component is respectively connected with the SQL builder and the SQL executor;
the API component sends a SQL construction control instruction to the SQL builder;
the SQL builder builds SQL and sends the execution SQL to an SQL actuator;
the SQL executor then feeds data back to the API component.
The metadata loader reads, loads and parses the YAML metadata and the DB metadata, respectively.
Preferably, the method further comprises the following steps: the system comprises a platform loader, an Event loader and an Event cache;
the platform loader is respectively connected with the metadata loader and the Event loader;
the platform loader sends a metadata calling instruction to the metadata loader and the Event loader respectively;
the Event loader injects a metadata calling instruction into an Event cache;
and the metadata loader pushes the metadata to the interface renderer and the API component according to the metadata calling instruction.
Preferably, the method further comprises the following steps: caching metadata;
the metadata loader is connected with the metadata cache and injects metadata into the metadata cache;
the SQL builder is connected with the metadata cache and reads the metadata in the metadata cache.
Preferably, the interface renderer is connected with the system display interface;
the API component is connected with the API interface.
The SQL executor is connected with a metadata SQL cache.
A second aspect relates to a metadata parsing engine configuration method, including:
making a standard metadata configuration specification at a metadata configuration layer;
storing the metadata in a YAML file or a database to support real-time reading;
providing a metadata interface of the API component based on the metadata specification, and configuring standard metadata;
loading a metadata loader on a metadata analysis layer;
reading a metadata configuration from a YAML file or database through a metadata source identifier;
calling a metadata loader to obtain metadata configuration, analyzing and converting the metadata according to parameters transmitted by the API calling mode, and returning the metadata to an API calling party;
after the interface renderer acquires interface metadata, rendering the metadata into a standard interface for output;
the SQL builder models the metadata, configures a data query port and updates the SQL data;
the SQL executor executes SQL data processing;
the metadata SQL cache caches common operations of the metadata.
Preferably, the step of returning the metadata to the API caller after parsing and converting the metadata according to the parameters transferred by the API calling method further includes; the API calling party is a client;
the client sends an interface request instruction to the API component;
an API component acquires an interface metadata querier from a metadata SQL cache;
querying the interface metadata based on the interface metadata querier;
constructing an SQL actuator;
obtaining a metadata configuration specification from an Event loader;
sending metadata configuration specifications through an Event cache;
executing the SQL executor;
and sending the execution metadata operation rule to an Event loader, and caching through an Event cache.
A third aspect relates to a terminal implementing a metadata parsing engine configuration system, comprising:
a memory for storing a computer program and a metadata parsing engine configuration system;
and the processor is used for executing the computer program and the metadata analysis engine configuration system so as to realize the metadata analysis engine configuration system.
A fourth aspect relates to a readable storage medium having a metadata parsing engine configuration system, the readable storage medium having stored thereon a computer program for execution by a processor to implement the metadata parsing engine configuration system.
According to the technical scheme, the invention has the following advantages:
the invention abstracts the common content in the information construction process to form a metadata analysis engine, and sinks the changed part into the metadata configuration. The system performs metadata configuration through a visual interface, and renders the metadata into standard system functions through an engine for output. The invention can reduce professional requirements of practitioners, improve development efficiency and construction quality, and effectively solve the problems encountered in information-based construction.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings used in the description will be briefly introduced, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
FIG. 1 is a schematic diagram of a metadata parsing engine configuration system;
FIG. 2 is a flowchart of an embodiment of a method for configuring a metadata parsing engine.
Detailed Description
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to provide a thorough understanding of embodiments of the invention. One skilled in the relevant art will recognize, however, that the invention may be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations or operations have not been shown or described in detail to avoid obscuring aspects of the invention.
The present invention provides a metadata parsing engine configuration system, as shown in fig. 1, including: a metadata engine subsystem;
the metadata engine subsystem includes: the system comprises a metadata loader 1, an interface renderer 2, an API component 3, an SQL builder 4 and an SQL executor 5;
the metadata loader 1 is respectively connected with the interface renderer 2 and the API component 3, and the metadata loader 1 respectively pushes metadata to the interface renderer 2 and the API component 3;
the API component 3 is respectively connected with an SQL builder 4 and an SQL executor 5; the API component 3 sends a SQL construction control instruction to the SQL builder 4; the SQL builder 4 builds SQL and sends the execution SQL to the SQL executor 5; the SQL executor 5 executes and then feeds data back to the API component 3.
Wherein, the interface renderer 2 is connected with the system display interface 12; the API component 3 connects to an API interface 13. The system display interface may display the current state of the system, as well as metadata loading process data, and the like.
The API interface is used as an interface for data communication, and may be implemented to receive data, commands, control information, and the like transmitted from outside the system.
The metadata loader 1 reads, loads, and parses the YAML metadata and the DB metadata, respectively. That is, the metadata loader 1 can process YAML metadata as well as DB metadata. Wherein
YAML metadata is a highly readable metadata used to express data serialization. The languages upon which YAML can be based include: c language, Python, Perl. YAML metadata in the system can be obtained from XML and e-mail data formats.
The system of the present invention further comprises: a platform loader 6, an Event loader 7 and an Event cache 8;
the platform loader 6 is respectively connected with the metadata loader 1 and the Event loader 7; the platform loader 6 sends a metadata calling instruction to the metadata loader 1 and the Event loader 7 respectively; the Event loader 7 injects a metadata calling instruction into an Event cache 8; the metadata loader 1 pushes metadata to the interface renderer 2 and the API component 3 according to the metadata call instruction.
The platform loader 6 can be used as a starting unit for starting the metadata analysis engine, and loads and starts the metadata analysis engine to start a program for starting a subsystem of the metadata engine.
An embodiment of the present invention further includes: a metadata cache 9; the metadata loader 1 is connected with the metadata cache 9 and injects metadata into the metadata cache 9; the SQL builder 4 is connected to the metadata cache 9, and reads metadata in the metadata cache 9.
The SQL executor 5 is connected with a metadata SQL cache 11.
Based on the system, the invention also provides a metadata analysis engine configuration method, which comprises the following steps:
making a standard metadata configuration specification at a metadata configuration layer;
the standard metadata configuration specification may specify metadata accordingly, such as:
the table is an embodiment of the setting specification, and the specific form is not limited.
Storing the metadata in a YAML file or a database to support real-time reading;
providing a metadata interface of the API component based on the metadata specification, and configuring standard metadata;
loading a metadata loader on a metadata analysis layer;
reading a metadata configuration from a YAML file or database through a metadata source identifier;
calling a metadata loader to obtain metadata configuration, analyzing and converting the metadata according to parameters transmitted by the API calling mode, and returning the metadata to an API calling party;
here, the API caller is a client;
the client sends an interface request instruction to the API component;
an API component acquires an interface metadata querier from a metadata SQL cache;
querying the interface metadata based on the interface metadata querier;
constructing an SQL actuator;
obtaining a metadata configuration specification from an Event loader;
sending metadata configuration specifications through an Event cache;
executing the SQL executor;
and sending the execution metadata operation rule to an Event loader, and caching through an Event cache.
After the interface renderer acquires interface metadata, rendering the metadata into a standard interface for output;
the SQL builder models the metadata, configures a data query port and updates the SQL data;
the SQL executor executes SQL data processing;
the metadata SQL cache caches common operations of the metadata.
Therefore, the method is simple and easy to use, the threshold of the practitioner is reduced, and the labor input is saved; the invention unifies output standards and shields quality difference caused by personnel difference. The method is suitable for various informationized scenes and is wide in application;
based on the system and the method, the invention also provides a terminal for realizing the metadata analysis engine configuration system, which comprises the following steps:
a memory for storing a computer program and a metadata parsing engine configuration system;
and the processor is used for executing the computer program and the metadata analysis engine configuration system so as to realize the metadata analysis engine configuration system.
The present invention also provides a readable storage medium having a metadata parsing engine configuration system, the readable storage medium having stored thereon a computer program for execution by a processor to implement the metadata parsing engine configuration system.
The terminals implementing the metadata parsing engine configuration system are the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein, and can be implemented in electronic hardware, computer software, or a combination of both, the components and steps of the examples having been generally described in terms of functionality in the foregoing description for clarity of illustrating the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
Through the above description of the embodiments, those skilled in the art will readily understand that the terminal implementing the metadata parsing engine configuration system described herein may be implemented by software, or may be implemented by software in combination with necessary hardware. Therefore, the technical solution according to the embodiment of the present disclosure for implementing the metadata parsing engine configuration system can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the indexing method according to the embodiment of the present disclosure.
Implementing a metadata parsing engine configuration system the program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + +, or the like, as well as conventional procedural programming languages, such as the "C" language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A metadata parsing engine configuration system, comprising: a metadata engine subsystem;
the metadata engine subsystem includes: the system comprises a metadata loader, an interface renderer, an API component, an SQL builder and an SQL executor;
the metadata loader is respectively connected with the interface renderer and the API component and respectively pushes metadata to the interface renderer and the API component;
the API component is respectively connected with the SQL builder and the SQL executor;
the API component sends a SQL construction control instruction to the SQL builder;
the SQL builder builds SQL and sends the execution SQL to an SQL actuator;
the SQL executor then feeds data back to the API component.
2. The metadata parsing engine configuration system of claim 1,
the metadata loader reads, loads and parses the YAML metadata and the DB metadata, respectively.
3. The metadata parsing engine configuration system of claim 1,
further comprising: the system comprises a platform loader, an Event loader and an Event cache;
the platform loader is respectively connected with the metadata loader and the Event loader;
the platform loader sends a metadata calling instruction to the metadata loader and the Event loader respectively;
the Event loader injects a metadata calling instruction into an Event cache;
and the metadata loader pushes the metadata to the interface renderer and the API component according to the metadata calling instruction.
4. The metadata parsing engine configuration system of claim 1,
further comprising: caching metadata;
the metadata loader is connected with the metadata cache and injects metadata into the metadata cache;
the SQL builder is connected with the metadata cache and reads the metadata in the metadata cache.
5. The metadata parsing engine configuration system of claim 1,
the interface renderer is connected with a system display interface;
the API component is connected with the API interface.
6. The metadata parsing engine configuration system of claim 1,
the SQL executor is connected with a metadata SQL cache.
7. A method for configuring a metadata parsing engine, the method comprising:
making a standard metadata configuration specification at a metadata configuration layer;
storing the metadata in a YAML file or a database to support real-time reading;
providing a metadata interface of the API component based on the metadata specification, and configuring standard metadata;
loading a metadata loader on a metadata analysis layer;
reading a metadata configuration from a YAML file or database through a metadata source identifier;
calling a metadata loader to obtain metadata configuration, analyzing and converting the metadata according to parameters transmitted by the API calling mode, and returning the metadata to an API calling party;
after the interface renderer acquires interface metadata, rendering the metadata into a standard interface for output;
the SQL builder models the metadata, configures a data query port and updates the SQL data;
the SQL executor executes SQL data processing;
the metadata SQL cache caches common operations of the metadata.
8. The metadata parsing engine configuration method of claim 7,
the step of returning the metadata to the API caller after analyzing and converting the metadata according to the parameters transmitted by the API call mode also comprises the following steps; the API calling party is a client;
the client sends an interface request instruction to the API component;
an API component acquires an interface metadata querier from a metadata SQL cache;
querying the interface metadata based on the interface metadata querier;
constructing an SQL actuator;
obtaining a metadata configuration specification from an Event loader;
sending metadata configuration specifications through an Event cache;
executing the SQL executor;
and sending the execution metadata operation rule to an Event loader, and caching through an Event cache.
9. A terminal for implementing a metadata parsing engine configuration system, comprising:
a memory for storing a computer program and a metadata parsing engine configuration system;
a processor for executing the computer program and the metadata parsing engine configuration system to implement the metadata parsing engine configuration system according to any one of claims 1 to 6.
10. A readable storage medium having a metadata parsing engine configuration system, the readable storage medium having stored thereon a computer program for execution by a processor to implement the metadata parsing engine configuration system as claimed in any one of claims 1 to 6.
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