CN110990586A - Method and device for acquiring map data - Google Patents
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- CN110990586A CN110990586A CN201911211163.3A CN201911211163A CN110990586A CN 110990586 A CN110990586 A CN 110990586A CN 201911211163 A CN201911211163 A CN 201911211163A CN 110990586 A CN110990586 A CN 110990586A
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- 238000013075 data extraction Methods 0.000 claims abstract description 99
- 238000000605 extraction Methods 0.000 claims description 5
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- 238000010586 diagram Methods 0.000 description 2
- 230000008676 import Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
- G06F16/367—Ontology
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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
- G06F16/20—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
- G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
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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
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
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Abstract
The invention provides a method and a device for acquiring map data, wherein the method comprises the following steps: implementing a rules engine; implementing data extraction rules by using the rule engine; and operating the data extraction rule to extract data from the service system and converting the extracted data into map data. The invention provides a method and a device for acquiring map data, which can reduce the workload of acquiring map data.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for acquiring map data.
Background
The knowledge graph is based on a dynamic ontology data model, various data sources are connected and imported with data, the fusion of industrial data on a logic layer is realized, the link relation among the data is communicated, and the data are more three-dimensionally enriched in service.
At present, service data are dispersed in databases of various service systems, and in order to construct a knowledge graph, the service data need to be organized according to a data format required by the graph. At present, the acquisition mode of the map data is to manually extract the service data from the database of the service system one by one, and then convert the service data into the map data one by one.
As can be seen from the above description, the prior art scheme for acquiring the atlas data is relatively heavy.
Disclosure of Invention
The embodiment of the invention provides a method and a device for acquiring map data, which can reduce the workload of acquiring the map data.
In a first aspect, an embodiment of the present invention provides a method for obtaining a map number, including:
implementing a rules engine;
implementing data extraction rules by using the rule engine;
and operating the data extraction rule to extract data from the service system and converting the extracted data into map data.
Alternatively,
the implementation of the data extraction rule by using the rule engine includes:
implementing in the rules engine the entity java class of the data extraction rules and the drl file of the data extraction rules;
generating a jar file of the data extraction rule according to the entity java class and the drl file;
the running the data extraction rule includes:
and realizing the data extraction rule according to the jar file.
Alternatively,
the implementing the data extraction rule according to the jar file comprises the following steps:
starting kie-server application;
creating a rule issuing container in said kie-server application;
importing the jar file into the rule issuing container;
issuing the jar file into a rest service through the rule issuing container;
and realizing the data extraction rule according to the rest service.
Alternatively,
the implementing the data extraction rule according to the rest service includes:
determining a service url (Uniform Resource Locator) of the rest service;
acquiring the jar file according to the service url;
creating a rule execution client of the data extraction rule according to the jar file;
and operating the rule execution client to realize the data extraction rule.
Alternatively,
the implementation rule engine comprises:
and (4) importing a drools toolkit into the masen project of Eclipse to realize a drools rule engine.
In a second aspect, an embodiment of the present invention provides an apparatus for acquiring atlas data, including:
the engine implementation unit is used for implementing a rule engine;
the rule implementation unit is used for implementing the data extraction rule by utilizing the rule engine;
and the data extraction unit is used for operating the data extraction rule, realizing the extraction of data from the service system and converting the extracted data into map data.
Alternatively,
the rule implementation unit is configured to implement an entity java class of the data extraction rule and an drl file of the data extraction rule in the rule engine, and generate a jar file of the data extraction rule according to the entity java class and the drl file;
and the data extraction unit is used for realizing the data extraction rule according to the jar file.
Alternatively,
the data extraction unit is used for starting kie-server application, creating a rule issuing container in the kie-server application, importing the jar file into the rule issuing container, issuing the jar file into a rest service through the rule issuing container, and implementing the data extraction rule according to the rest service.
Alternatively,
the data extraction unit is used for determining a service url of the rest service, acquiring the jar file according to the service url, creating a rule execution client of the data extraction rule according to the jar file, and operating the rule execution client to realize the data extraction rule.
Alternatively,
the engine implementation unit is used for importing a drools toolkit into the masen project of Eclipse to implement a drools rule engine.
In the embodiment of the invention, the data extraction rule is realized through the rule engine, then, the data can be automatically extracted from the service system by operating the data extraction rule, and the extracted data is converted into the map data, so that the process does not need to manually process the data of the service system one by one, and the workload of acquiring the map data is greatly reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a method for obtaining a number of maps according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method for obtaining a number of maps according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an apparatus for obtaining the number of maps according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer and more complete, the technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention, and based on the embodiments of the present invention, all other embodiments obtained by a person of ordinary skill in the art without creative efforts belong to the scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a method for obtaining a map number, including:
step 101: implementing a rules engine;
step 102: implementing data extraction rules by using the rule engine;
step 103: and operating the data extraction rule to extract data from the service system and converting the extracted data into map data.
In the embodiment of the invention, the data extraction rule is realized through the rule engine, then, the data can be automatically extracted from the service system by operating the data extraction rule, and the extracted data is converted into the map data, so that the process does not need to manually process the data of the service system one by one, and the workload of acquiring the map data is greatly reduced.
A method of extracting required data from a business system and a method of converting the extracted data into atlas data are set in the data extraction rule. The map data can be automatically generated as long as the data extraction rule is operated.
In an embodiment of the present invention, the implementation rule engine includes: and (4) importing a drools toolkit into the masen project of Eclipse to realize a drools rule engine.
In the embodiment of the invention, the rule engine adopts an open-source drools engine, the drools completely realizes the Rete algorithm, provides Eclipse Plugin development support, realizes the description of the business rules in a natural language mode, accords with the internal standard, and has high speed and high efficiency.
In an Eclipse integrated drools development environment, a drools toolkit is introduced into a maven project, a pom.
In an embodiment of the present invention, the implementing the data extraction rule by using the rule engine includes:
implementing in the rules engine the entity java class of the data extraction rules and the drl file of the data extraction rules;
generating a jar file of the data extraction rule according to the entity java class and the drl file;
the running the data extraction rule includes:
and realizing the data extraction rule according to the jar file.
In the embodiment of the present invention, entity java class and data extraction rule drl files are written in Eclipse using the language specification of drools, then pom. xml files are modified, and a maven install command is run to generate jar files corresponding to the data extraction rule, where the jar files may include: the service system comprises a groupId, an artifactId and a version number, wherein the groupId is a source service system corresponding to the rule extraction data, and the artifactId is a unique code of the rule. The jar file can be uniquely determined through the groupId, the artifactId and the version number, namely the data extraction rule is uniquely determined.
In an embodiment of the present invention, the implementing the data extraction rule according to the jar file includes:
starting kie-server application;
creating a rule issuing container in said kie-server application;
importing the jar file into the rule issuing container;
issuing the jar file into a rest service through the rule issuing container;
and realizing the data extraction rule according to the rest service.
In the embodiment of the invention, a deployment rule issuing application kie-server application deploys war of kie-server application to tobapps directory of tomcat during deployment, configures tomcat-users.xml file under config of tomcat, has a role name of kie-server and a password of kieserver 1! The kie-server application is started.
In the kie-server application, a rule issuing container is created, the container ID needs to be unique, a data extraction rule needing to be issued is selected to be imported, namely a jar file corresponding to the data extraction rule is imported, a corresponding rule service is issued through the rule issuing container, and a rest service capable of being directly called is generated.
In an embodiment of the present invention, the implementing the data extraction rule according to the rest service includes:
determining a service url of the rest service;
acquiring the jar file according to the service url;
creating a rule execution client of the data extraction rule according to the jar file;
and operating the rule execution client to realize the data extraction rule.
In the embodiment of the invention, the url is directly returned to the service after the rest service is generated.
In the maven project, kie-server package is imported, the pom. xml file is modified, and the files are added
< groupId > item name >
<artifactId>kieserver</artifactId>
<version>1.0-SNAPSHOT</version>
In the embodiment of the present invention, a method of kies services factory new restconfiguration (url, username, password,10000L) is called to obtain rule configuration information, that is, a jar file of a data extraction rule is obtained.
A rule execution client ruleserviceclient (rule configuration information) method is called to create a rule.
The rule execution client executes the rule execution client by executing the method of RuleServices client.
As shown in fig. 2, an embodiment of the present invention provides a method for obtaining atlas data, including:
step 201: and (4) importing a drools toolkit into the masen project of Eclipse to realize a drools rule engine.
Step 202: the entity java class of the data extraction rule and the drl file of the data extraction rule are implemented in a drools rule engine.
Step 203: and generating a jar file of the data extraction rule according to the entity java class and the drl file.
Step 204: the kie-server application is started.
Step 205: a rule issuance container is created in the kie-server application.
Step 206: and issuing the jar file into a rest service through the rule issuing container, and returning a service url of the rest service.
Step 207: and acquiring jar files according to the service url.
Step 208: and creating a rule execution client of the data extraction rule according to the jar file.
Step 209: and operating the rule execution client to realize the data extraction rule, extracting data from the service system and converting the extracted data into map data.
In the embodiment of the invention, the extraction of the map data from the service database is realized, and the data extraction rule is stored, so that the extraction rule is easy to maintain, the data extraction workload and the subsequent maintenance workload are reduced, and the maintenance cost is reduced.
As shown in fig. 3, an embodiment of the present invention provides an apparatus for acquiring atlas data, including:
an engine implementation unit 301, configured to implement a rule engine;
a rule implementing unit 302, configured to implement a data extraction rule by using the rule engine;
and the data extraction unit 303 is configured to run the data extraction rule, so as to extract data from the service system, and convert the extracted data into map data.
In an embodiment of the present invention, the rule implementing unit is configured to implement an entity java class of the data extraction rule and an drl file of the data extraction rule in the rule engine, and generate a jar file of the data extraction rule according to the entity java class and the drl file;
and the data extraction unit is used for realizing the data extraction rule according to the jar file.
In an embodiment of the present invention, the data extraction unit is configured to start kie-server application, create a rule issuing container in the kie-server application, import the jar file into the rule issuing container, issue the jar file into a rest service through the rule issuing container, and implement the data extraction rule according to the rest service.
In an embodiment of the present invention, the data extraction unit is configured to determine a service url of the rest service, obtain the jar file according to the service url, create a rule execution client of the data extraction rule according to the jar file, and run the rule execution client to implement the data extraction rule.
In an embodiment of the present invention, the engine implementation unit is configured to import a drools toolkit into a maven project of Eclipse, and implement a drools rule engine.
It is to be understood that the illustrated structure of the embodiments of the present invention does not constitute a specific limitation on the means for acquiring the atlas data. In other embodiments of the invention, the means for obtaining atlas data may comprise more or fewer components than shown, or some components may be combined, some components may be split, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.
Because the information interaction, execution process, and other contents between the units in the device are based on the same concept as the method embodiment of the present invention, specific contents may refer to the description in the method embodiment of the present invention, and are not described herein again.
The present invention also provides a computer-readable medium storing instructions for causing a computer to perform a method of acquiring atlas data as described herein. Specifically, a system or an apparatus equipped with a storage medium on which software program codes that realize the functions of any of the above-described embodiments are stored may be provided, and a computer (or a CPU or MPU) of the system or the apparatus is caused to read out and execute the program codes stored in the storage medium.
In this case, the program code itself read from the storage medium can realize the functions of any of the above-described embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.
Examples of the storage medium for supplying the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (e.g., CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD + RW), a magnetic tape, a nonvolatile memory card, and a ROM. Alternatively, the program code may be downloaded from a server computer via a communications network.
Further, it should be clear that the functions of any one of the above-described embodiments may be implemented not only by executing the program code read out by the computer, but also by causing an operating system or the like operating on the computer to perform a part or all of the actual operations based on instructions of the program code.
Further, it is to be understood that the program code read out from the storage medium is written to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion unit connected to the computer, and then causes a CPU or the like mounted on the expansion board or the expansion unit to perform part or all of the actual operations based on instructions of the program code, thereby realizing the functions of any of the above-described embodiments.
It should be noted that not all steps and modules in the above flows and system structure diagrams are necessary, and some steps or modules may be omitted according to actual needs. The execution order of the steps is not fixed and can be adjusted as required. The system structure described in the above embodiments may be a physical structure or a logical structure, that is, some modules may be implemented by the same physical entity, or some modules may be implemented by a plurality of physical entities, or some components in a plurality of independent devices may be implemented together.
In the above embodiments, the hardware unit may be implemented mechanically or electrically. For example, a hardware element may comprise permanently dedicated circuitry or logic (such as a dedicated processor, FPGA or ASIC) to perform the corresponding operations. The hardware elements may also comprise programmable logic or circuitry, such as a general purpose processor or other programmable processor, that may be temporarily configured by software to perform the corresponding operations. The specific implementation (mechanical, or dedicated permanent, or temporarily set) may be determined based on cost and time considerations.
While the invention has been shown and described in detail in the drawings and in the preferred embodiments, it is not intended to limit the invention to the embodiments disclosed, and it will be apparent to those skilled in the art that various combinations of the code auditing means in the various embodiments described above may be used to obtain further embodiments of the invention, which are also within the scope of the invention.
Claims (10)
1. A method of obtaining a number of atlases, comprising:
implementing a rules engine;
implementing data extraction rules by using the rule engine;
and operating the data extraction rule to extract data from the service system and converting the extracted data into map data.
2. The method of claim 1,
the implementation of the data extraction rule by using the rule engine includes:
implementing in the rules engine the entity java class of the data extraction rules and the drl file of the data extraction rules;
generating a jar file of the data extraction rule according to the entity java class and the drl file;
the running the data extraction rule includes:
and realizing the data extraction rule according to the jar file.
3. The method of claim 2,
the implementing the data extraction rule according to the jar file comprises the following steps:
starting kie-server application;
creating a rule issuing container in said kie-server application;
importing the jar file into the rule issuing container;
issuing the jar file into a rest service through the rule issuing container;
and realizing the data extraction rule according to the rest service.
4. The method of claim 3,
the implementing the data extraction rule according to the rest service includes:
determining a service uniform resource locator url of the rest service;
acquiring the jar file according to the service url;
creating a rule execution client of the data extraction rule according to the jar file;
and operating the rule execution client to realize the data extraction rule.
5. The method according to any one of claims 1 to 4,
the implementation rule engine comprises:
and (4) importing a drools toolkit into the masen project of Eclipse to realize a drools rule engine.
6. Apparatus for obtaining atlas data, comprising:
the engine implementation unit is used for implementing a rule engine;
the rule implementation unit is used for implementing the data extraction rule by utilizing the rule engine;
and the data extraction unit is used for operating the data extraction rule, realizing the extraction of data from the service system and converting the extracted data into map data.
7. The apparatus of claim 6,
the rule implementation unit is configured to implement an entity java class of the data extraction rule and an drl file of the data extraction rule in the rule engine, and generate a jar file of the data extraction rule according to the entity java class and the drl file;
and the data extraction unit is used for realizing the data extraction rule according to the jar file.
8. The apparatus of claim 7,
the data extraction unit is used for starting kie-server application, creating a rule issuing container in the kie-server application, importing the jar file into the rule issuing container, issuing the jar file into a rest service through the rule issuing container, and implementing the data extraction rule according to the rest service.
9. The apparatus of claim 8,
the data extraction unit is used for determining a service uniform resource locator url of the rest service, acquiring the jar file according to the service url, creating a rule execution client of the data extraction rule according to the jar file, and operating the rule execution client to realize the data extraction rule.
10. The apparatus according to any one of claims 6 to 9,
the engine implementation unit is used for importing a drools toolkit into the masen project of Eclipse to implement a drools rule engine.
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Cited By (1)
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Application publication date: 20200410 |