CN109635022A - A kind of visual ElasticSearch collecting method and device - Google Patents
A kind of visual ElasticSearch collecting method and device Download PDFInfo
- Publication number
- CN109635022A CN109635022A CN201811290888.1A CN201811290888A CN109635022A CN 109635022 A CN109635022 A CN 109635022A CN 201811290888 A CN201811290888 A CN 201811290888A CN 109635022 A CN109635022 A CN 109635022A
- Authority
- CN
- China
- Prior art keywords
- plug
- configuration file
- task
- scheduling
- elasticsearch
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of visual ElasticSearch collecting method and devices, comprising: creation visualization component, visualization component include input plug-in unit, output inserter and scheduling plug-in unit；It is associated with by the way that plug-in unit, output inserter will be inputted with scheduling plug-in unit, creates task；Parameter configuration is carried out to the input plug-in unit, output inserter and scheduling plug-in unit respectively, obtains input plug-in card configuration file, output inserter configuration file and scheduling plug-in card configuration file；The operation node and task strategy of configuration task；Loading tasks strategy obtains the nodal information of object run node；Task is sent to object run node so that object run node obtains and parses the input plug-in card configuration file, output inserter configuration file and scheduling plug-in card configuration file by the nodal information according to object run node, executes data acquisition；Configuration process is simplified through the invention, multitask multinode can concurrently be acquired simultaneously, be effectively increased the efficiency of data acquisition, reduce use cost.
Description
Technical field
The present invention relates to data acquisition technology fields, adopt more particularly, to a kind of visual ElasticSearch data
Set method and device.
Background technique
ElasticSearch is the search server based on Lucene, it provides a distributed multi-user energy
The full-text search engine of power is based on RESTful web interface, and Elasticsearch is developed with Java, and as Apache
Open source code publication under license terms, is Enterprise search engine currently popular, designed for that can reach in cloud computing
Search in real time is stablized, reliably, quickly, easy to install and use.
There is a precondition using the effective search of ElasticSearch, needs first to collect data
In ElasticSearch.At present acquisition data usually using third side plug complete, need using order line or complexity match
Set, learning cost and using threshold it is higher, and can only single task execute, acquisition speed it is slow, inefficiency.
Summary of the invention
To solve the above-mentioned problems, the invention proposes a kind of visual ElasticSearch collecting method and
Device, by way of through graphical operation, the input and output and creation scheduler task of definition structure data realize base
It is acquired in the data of ElasticSearch, simplifies collection process, improve acquisition rate.
To achieve the goals above, the present invention adopts the following technical scheme:
Specifically, a kind of visual ElasticSearch collecting method, is applied to and node server communication link
The user terminal connect, which comprises
Visualization component is created, the visualization component includes input plug-in unit, output inserter and scheduling plug-in unit；
By the way that the input plug-in unit, output inserter to be associated with scheduling plug-in unit, task is created；
Parameter configuration is carried out to the input plug-in unit, output inserter and scheduling plug-in unit respectively, obtains input plug-in card configuration text
Part, output inserter configuration file and scheduling plug-in card configuration file；
Configure the operation node and task strategy of the task；
The task strategy is loaded, the nodal information of object run node is obtained；
The task is sent to object run node so as to target fortune by the nodal information according to the object run node
Row node obtains and parses the input plug-in card configuration file, output inserter configuration file and scheduling plug-in card configuration file, executes
Data acquisition.
Further, the input plug-in card configuration file includes data source information and query script, the data source information
IP and port information including data source data library.
Further, the output inserter configuration file includes datum target information, and the datum target is
ElasticSearch server, the datum target information include IP, port, the index name of Elasticsearch server
And typonym.
Further, the scheduling plug-in card configuration file includes scheduling type, scheduling time and association input and output.
Further, the operation node for configuring the task includes the title of configuration operation node server, IP, port letter
Breath.
Further, the task strategy for configuring the task includes configuration executive mode, object run node server, appoints
Log rank of being engaged in and scheduler task, the scheduler task are that the task is associated with to the object run node server.
Further, the input plug-in card configuration file and output inserter configuration file save as ktr file, the tune
Degree plug-in card configuration file is kjb file.
Further, the object run node executes the specific steps of data acquisition are as follows: the object run node solution
The scheduling plug-in card configuration file is analysed, scheduling type, scheduling time and the association input/output information of the task, target are obtained
Node is run according to the association input/output information of acquisition, obtains the input plug-in card configuration file and output inserter configuration text
Part obtains the data source information and the datum target by parsing input plug-in card configuration file and output inserter configuration file
Information, and according to data source information and data target information, the acquisition of data is executed according to scheduling type and scheduling time.
Specifically, a kind of visual ElasticSearch data acquisition device, described device includes: designer and pipe
Device is managed, the designer is used to create task by visualization component, and the manager is for configuring operation node and distribution institute
The object run node of task is stated, and task is sent to the object run node and is executed.
Compared with prior art, the beneficial effects of the present invention are:
The present invention is by way of graphical operation, the input and output and creation scheduler task of definition structure data, needle
To different business demands, need to only make easy configuration can start the acquisition of structural data, improve the ease for use of data acquisition,
It multitask multinode can concurrently acquire simultaneously, improve the high efficiency of data acquisition.
Detailed description of the invention
Fig. 1 is a kind of visual ElasticSearch collecting method flow chart of the invention；
Fig. 2 is the data acquisition flow chart of the embodiment of the present invention 1；
Fig. 3 is a kind of visual ElasticSearch data acquisition device block diagram of the invention.
Description of symbols: 101- designer, 102- manager.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.The present invention being usually described and illustrated herein in the accompanying drawings is implemented
The component of example can be arranged and be designed with a variety of different configurations.
Therefore, the detailed description of the embodiment of the present invention provided in the accompanying drawings is not intended to limit below claimed
The scope of the present invention, but be merely representative of selected embodiment of the invention.Based on the embodiments of the present invention, this field is common
Technical staff's every other embodiment obtained without creative efforts belongs to the model that the present invention protects
It encloses.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
The terms "include", "comprise" or any other variant thereof is intended to cover non-exclusive inclusion, so that packet
The process, method, article or equipment for including a series of elements not only includes those elements, but also including being not explicitly listed
Other element, or further include for elements inherent to such a process, method, article, or device.Do not limiting more
In the case where, the element that is limited by sentence "including a ...", it is not excluded that including process, method, the object of the element
There is also other identical elements in product or equipment.
Embodiment 1
As shown in Figure 1, a kind of visual ElasticSearch collecting method, is applied to logical with node server
Believe the user terminal of connection, method includes:
Visualization component is created, visualization component includes input plug-in unit, output inserter and scheduling plug-in unit, by adopting data
Collect visualized, user, which need to only make easy configuration, can start data acquisition, without carrying out the order and complexity of abstract difficult note
Cumbersome configuration operation, promotes user experience, reduces learning cost and uses threshold, collection process is intelligently controlled by control centre
System is not necessarily to manual intervention, and can monitor acquisition details in real time.
By will input plug-in unit, output inserter with scheduling plug-in unit be associated with, creation task, each plug-in unit be it is independent, one
A complete task chain is made of input plug-in unit, output inserter and scheduling plug-in unit.
Configuration input plug-in unit, configuration information include inputting plugin name, data source information and query script, will be configured
Input plug-in card configuration file saves as ktr file；Data source information includes the information such as the IP in data source data library, port, inquiry
Script is that the script of the inquiry data from data source data library is needed so that oracle is data source data library as an example from oracle
Data are read, then data source information need to fill in the information such as IP and the port of oracle, and query script is that number is inquired from oracle
According to SQL statement.
Output inserter, including output inserter title and data target information are configured, datum target is that data pick-up is arrived
Target database, configured output inserter configuration file is saved as into ktr file；In the present embodiment, datum target is
ElasticSearch server, datum target information include IP, port, index name and the class of Elasticsearch server
Type title.
Configuration schedules plug-in unit includes whether repeated acquisition, scheduling type, scheduling time and is associated with input and output, configures
Scheduling plug-in card configuration file save as kjb file；Scheduling type includes executing at once, away from currently how long executing, daily
Some time executes, some time executes weekly, monthly some time executes；Scheduling time is to need after having configured scheduling type
Specified specific scheduling time；Association input and output are that the input plug-in unit that specified current scheduling plug-in unit needs to call and output are inserted
Part.
Configuration operation node, including operation node server title, IP and port information.
Configuration task strategy distributes the object run node of task, configuration information includes executive mode, object run section
Point server, task daily record rank and scheduler task, scheduler task are that task is associated with to the object run node serve of distribution
Device；Node clustering is used simultaneously, task can be executed in multinode, and multitask is supported to carry out simultaneously, and node support is extending transversely,
Data acquisition efficiency can be effectively improved, when encountering performance bottleneck, node extending transversely is only needed, can be solved.
Loading tasks strategy obtains the nodal information of object run node, and the nodal information according to object run node will
Task is sent to object run node so that object run node obtains and parses input plug-in card configuration file, output inserter configuration
File and scheduling plug-in card configuration file, execute data acquisition.
As shown in Fig. 2, object run node executes the specific steps of data acquisition are as follows: object run node resolution scheduling is inserted
Part configuration file obtains scheduling type, scheduling time and the association input/output information of task, and object run node is according to acquisition
Association input/output information, obtain input plug-in card configuration file and output inserter configuration file, matched by parsing input plug-in unit
It sets file and output inserter configuration file obtains data source information and data target information, and according to data source information and data mesh
Information is marked, the acquisition of data is executed according to scheduling type and scheduling time.
Embodiment 2
As shown in figure 3, a kind of visual ElasticSearch data acquisition device, device includes: designer and management
Device, designer are used to create task by visualization component, and a complete task chain is inserted by input plug-in unit, output inserter and scheduling
3 plug-in unit compositions of part, visualized operation detailed process are as follows: choose plug-in unit on the designer page, pin left mouse button, be dragged in volume
Plug-in unit editor plug-in unit detailed configuration information is double-clicked in volume region, and then mouse is directed toward one of plug-in unit, pin left button do not put drag to
Another plug-in unit carries out line association；Manager is used to distribute object run node for task, and the task of creation is sent to mesh
Mark operation node, object run node execute data acquisition by the configuration information of input plug-in unit, output inserter and scheduling plug-in unit.
In several embodiments provided herein, it should be understood that disclosed device and method can also pass through
Other modes are realized.The apparatus embodiments described above are merely exemplary, for example, flow chart and block diagram in attached drawing
Show the device of multiple embodiments according to the present invention, the architectural framework in the cards of method and computer program product,
Function and operation.In this regard, each box in flowchart or block diagram can represent the one of a module, section or code
Part, a part of the module, section or code, which includes that one or more is for implementing the specified logical function, to be held
Row instruction.It should also be noted that function marked in the box can also be to be different from some implementations as replacement
The sequence marked in attached drawing occurs.For example, two continuous boxes can actually be basically executed in parallel, they are sometimes
It can execute in the opposite order, this depends on the function involved.It is also noted that every in block diagram and or flow chart
The combination of box in a box and block diagram and or flow chart can use the dedicated base for executing defined function or movement
It realizes, or can realize using a combination of dedicated hardware and computer instructions in the system of hardware.
In addition, each functional module in each embodiment of the present invention can integrate one independent portion of formation together
Point, it is also possible to modules individualism, an independent part can also be integrated to form with two or more modules.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (9)
1. a kind of visual ElasticSearch collecting method, applied to the user communicated to connect with node server
Terminal, which is characterized in that the described method includes:
Visualization component is created, the visualization component includes input plug-in unit, output inserter and scheduling plug-in unit；
By the way that the input plug-in unit, output inserter to be associated with scheduling plug-in unit, task is created；
Parameter configuration is carried out to the input plug-in unit, output inserter and scheduling plug-in unit respectively, obtains input plug-in card configuration file, defeated
Plug-in card configuration file and scheduling plug-in card configuration file out；
Configure the operation node and task strategy of the task；
The task strategy is loaded, the nodal information of object run node is obtained；
The task is sent to object run node so as to object run section by the nodal information according to the object run node
Point obtains and parses the input plug-in card configuration file, output inserter configuration file and scheduling plug-in card configuration file, executes data
Acquisition.
2. a kind of visual ElasticSearch collecting method according to claim 1, which is characterized in that institute
Stating input plug-in card configuration file includes data source information and query script, and the data source information includes the IP in data source data library
And port information.
3. a kind of visual ElasticSearch collecting method according to claim 1, which is characterized in that institute
Stating output inserter configuration file includes datum target information, and the datum target is ElasticSearch server, the data
Target information includes IP, port, index name and the typonym of Elasticsearch server.
4. a kind of visual ElasticSearch collecting method according to claim 1, which is characterized in that institute
Stating scheduling plug-in card configuration file includes scheduling type, scheduling time and association input and output.
5. a kind of visual ElasticSearch collecting method according to claim 1, which is characterized in that match
The operation node for setting the task includes the title of configuration operation node server, IP, port information.
6. a kind of visual ElasticSearch collecting method according to claim 1, which is characterized in that match
The task strategy for setting the task includes that configuration executive mode, object run node server, task daily record rank and scheduling are appointed
Business, the scheduler task are that the task is associated with to the object run node server.
7. a kind of visual ElasticSearch collecting method according to claim 1, which is characterized in that institute
It states input plug-in card configuration file and output inserter configuration file saves as ktr file, the scheduling plug-in card configuration file is kjb
File.
8. a kind of visual ElasticSearch collecting method described in -7 any one according to claim 1, special
Sign is that the object run node executes the specific steps of data acquisition are as follows: the object run node parses the scheduling
Plug-in card configuration file obtains scheduling type, scheduling time and the association input/output information of the task, object run node root
According to the association input/output information of acquisition, the input plug-in card configuration file and output inserter configuration file are obtained, parsing is passed through
Input plug-in card configuration file and the output inserter configuration file acquisition data source information and the datum target information, and according to
Data source information and data target information execute the acquisition of data according to scheduling type and scheduling time.
9. a kind of visual ElasticSearch data acquisition device, using one as described in claim 1-8 any one
The visual ElasticSearch collecting method of kind, which is characterized in that described device includes: designer and manager, institute
Designer is stated for creating task by visualization component, the manager is used to configure operation node and distributes the task
Object run node, and task is sent to the object run node and is executed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811290888.1A CN109635022B (en) | 2018-10-31 | 2018-10-31 | Visual elastic search data acquisition method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811290888.1A CN109635022B (en) | 2018-10-31 | 2018-10-31 | Visual elastic search data acquisition method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109635022A true CN109635022A (en) | 2019-04-16 |
| CN109635022B CN109635022B (en) | 2021-04-13 |
Family
ID=66066926
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811290888.1A Active CN109635022B (en) | 2018-10-31 | 2018-10-31 | Visual elastic search data acquisition method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109635022B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111949389A (en) * | 2020-08-11 | 2020-11-17 | 曙光信息产业(北京)有限公司 | Slurm-based information acquisition method and device, server and computer-readable storage medium |
| CN113542796A (en) * | 2020-04-22 | 2021-10-22 | 腾讯科技（深圳）有限公司 | Video evaluation method and device, computer equipment and storage medium |
| CN114661685A (en) * | 2022-03-25 | 2022-06-24 | 机科发展科技股份有限公司 | Method and apparatus for generating log record component, log recording method, and medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104283967A (en) * | 2014-10-23 | 2015-01-14 | 武汉华大优能信息有限公司 | Third-party data service system based on Internet-of-Things data collecting |
| CN104486445A (en) * | 2014-12-30 | 2015-04-01 | 北京天云融创软件技术有限公司 | Distributed extendable resource monitoring system and method based on cloud platform |
| US20150170114A1 (en) * | 2013-12-18 | 2015-06-18 | Apriva, Llc | System and method for acquiring and integrating multi-source information for advanced analystics and visualization |
| CN104847924A (en) * | 2015-03-27 | 2015-08-19 | 浙江工业大学 | High-speed rotating valve and flow parameter real-time detecting device for visualization observation |
| CN106354723A (en) * | 2015-07-15 | 2017-01-25 | 北京中电普华信息技术有限公司 | Online data acquisition system |
| CN107104818A (en) * | 2017-03-16 | 2017-08-29 | 柳州达迪通信技术股份有限公司 | A kind of implementation method of ODF ports navigation view |
| CN107247721A (en) * | 2017-04-24 | 2017-10-13 | 江苏曙光信息技术有限公司 | Visualize collecting method |
| CN107391686A (en) * | 2017-07-24 | 2017-11-24 | 威创软件南京有限公司 | A kind of visual configuration data collecting system implementation method |
| CN108197237A (en) * | 2017-12-29 | 2018-06-22 | 北京恒泰实达科技股份有限公司 | Visualization data, which collect, shows system |
-
2018
- 2018-10-31 CN CN201811290888.1A patent/CN109635022B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150170114A1 (en) * | 2013-12-18 | 2015-06-18 | Apriva, Llc | System and method for acquiring and integrating multi-source information for advanced analystics and visualization |
| CN104283967A (en) * | 2014-10-23 | 2015-01-14 | 武汉华大优能信息有限公司 | Third-party data service system based on Internet-of-Things data collecting |
| CN104486445A (en) * | 2014-12-30 | 2015-04-01 | 北京天云融创软件技术有限公司 | Distributed extendable resource monitoring system and method based on cloud platform |
| CN104847924A (en) * | 2015-03-27 | 2015-08-19 | 浙江工业大学 | High-speed rotating valve and flow parameter real-time detecting device for visualization observation |
| CN106354723A (en) * | 2015-07-15 | 2017-01-25 | 北京中电普华信息技术有限公司 | Online data acquisition system |
| CN107104818A (en) * | 2017-03-16 | 2017-08-29 | 柳州达迪通信技术股份有限公司 | A kind of implementation method of ODF ports navigation view |
| CN107247721A (en) * | 2017-04-24 | 2017-10-13 | 江苏曙光信息技术有限公司 | Visualize collecting method |
| CN107391686A (en) * | 2017-07-24 | 2017-11-24 | 威创软件南京有限公司 | A kind of visual configuration data collecting system implementation method |
| CN108197237A (en) * | 2017-12-29 | 2018-06-22 | 北京恒泰实达科技股份有限公司 | Visualization data, which collect, shows system |
Non-Patent Citations (2)
| Title |
|---|
| NICK MCDONALD ET AL.: ""A new online tool for gamer network performance analysis"", 《 2016 IEEE INTERNATIONAL CONFERENCE ON CYBERCRIME AND COMPUTER FORENSIC》 * |
| 罗东锋 等: ""基于Docker的大规模日志采集与分析系统"", 《计算机系统应用》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113542796A (en) * | 2020-04-22 | 2021-10-22 | 腾讯科技（深圳）有限公司 | Video evaluation method and device, computer equipment and storage medium |
| CN113542796B (en) * | 2020-04-22 | 2023-08-08 | 腾讯科技（深圳）有限公司 | Video evaluation method, device, computer equipment and storage medium |
| CN111949389A (en) * | 2020-08-11 | 2020-11-17 | 曙光信息产业(北京)有限公司 | Slurm-based information acquisition method and device, server and computer-readable storage medium |
| CN114661685A (en) * | 2022-03-25 | 2022-06-24 | 机科发展科技股份有限公司 | Method and apparatus for generating log record component, log recording method, and medium |
| CN114661685B (en) * | 2022-03-25 | 2023-01-10 | 机科发展科技股份有限公司 | Method and apparatus for generating log record component, log recording method, and medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109635022B (en) | 2021-04-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105320740B (en) | The acquisition methods and acquisition system of wechat article and public platform | |
| CN109635022A (en) | A kind of visual ElasticSearch collecting method and device | |
| CN105630847B (en) | Date storage method, data query method, apparatus and system | |
| CN108121773A (en) | A kind of big data analysis task construction method based on visualization towed | |
| CN107317724A (en) | Data collecting system and method based on cloud computing technology | |
| CN106502720B (en) | A kind of data processing method and device | |
| Raj et al. | High-performance big-data analytics | |
| CN110245278A (en) | Acquisition method, device, electronic equipment and the storage medium of web data | |
| CN102083116B (en) | Method for constructing intelligent communication alarm fault positioning expert system based on meta-knowledge | |
| CN103631922A (en) | Hadoop cluster-based large-scale Web information extraction method and system | |
| CN103744647A (en) | Java workflow development system and method based on workflow GPD | |
| CN106293541A (en) | A kind of blog management method storing system and system | |
| CN205845090U (en) | Electricity market main body credit evaluation system | |
| CN108287889B (en) | A kind of multi-source heterogeneous date storage method and system based on elastic table model | |
| CN106445645A (en) | Method and device for executing distributed computation tasks | |
| CN109359106A (en) | Campus big data cleaning-based service system | |
| CN104714983B (en) | The generation method and device of distributed index | |
| Tax et al. | LocalProcessModelDiscovery: Bringing Petri nets to the pattern mining world | |
| CN109617944A (en) | WEB parameter management method, device, computer storage medium and equipment | |
| Wong et al. | A visual analytics paradigm enabling trillion-edge graph exploration | |
| Pu et al. | Syntactic rule based approach toweb service composition | |
| CN105117468B (en) | A kind of network data processing method and device | |
| CN110489748A (en) | Law element derivation method, device, electronic equipment and computer can storage mediums | |
| CN110471968A (en) | Dissemination method, device, equipment and the storage medium of ETL task | |
| CN109710828B (en) | Course resource management method, device and equipment of online learning platform |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |