CN104899284B - A kind of method and device for dispatching system based on metadata driven - Google Patents
A kind of method and device for dispatching system based on metadata driven Download PDFInfo
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Abstract
The invention belongs to technical field of data processing, are related to a kind of method and device for dispatching system based on metadata driven.This method includes：Obtain the configuration item of metadata schema；According to the metadata schema and the configuration item, data mart modeling script is generated；Scheduling system in the corresponding metadata of the metadata schema and the data mart modeling script synchronization to scheduling system of generation, will be made to generate scheduler task corresponding with the metadata schema, and control and execute the scheduler task.This method reduces artificial participation by metadata driven scheduler task, simplifies the driving operation of scheduling system, improves data-handling efficiency.
Description
Technical field
The invention belongs to technical field of data processing, are related to a kind of method and dress for dispatching system based on metadata driven
It sets.
Background technology
Along with coming for big data epoch, data warehouse slowly changes into distributed structure/architecture, to meet explosive growth
The requirement for calculating and storing.Since distributed data is typically all to be stored using column, and preserve in the form of a file, improve
The storage of big data and calculated performance.
The data model of each level in data warehouse is driven by scheduling system, ensure data model promptness,
Integrality and accuracy.It is artificial to participate in configuration in the method for existing driving scheduling system, due to each layer model of data warehouse
Table, data volume is huge, and configuration item is various so that the workload of human configuration is huge, leads to existing driving scheduling system
Cumbersome, and the inefficiency of method.
Invention content
The purpose of the present invention is to propose to a kind of method and devices for dispatching system based on metadata driven, are to simplify scheduling
The driving of system operates, and improves data-handling efficiency.
On the one hand, the embodiment of the present invention provides a kind of method for dispatching system based on metadata driven, including：
Obtain the configuration item of metadata schema；
According to the metadata schema and the configuration item, data mart modeling script is generated；
By in the corresponding metadata of the metadata schema and the data mart modeling script synchronization to scheduling system of generation, make tune
Degree system generates scheduler task corresponding with the metadata schema, and controls and execute the scheduler task.
On the other hand, the embodiment of the present invention provides a kind of device for dispatching system based on metadata driven, including：
Configuration item acquiring unit, the configuration item for obtaining metadata schema；
Script generation unit, for according to the metadata schema and the configuration item, generating data mart modeling script；
Data synchronisation unit is used for the data mart modeling script synchronization of the corresponding metadata of the metadata schema and generation
Into scheduling system, scheduling system is made to generate scheduler task corresponding with the metadata schema, and controls and execute the scheduling
Task.
The embodiment of the present invention generates number by obtaining the configuration item of metadata schema according to metadata schema and configuration item
According to processing script, and the scheduling in the corresponding metadata of metadata schema and data mart modeling script synchronization to scheduling system, will be made to be
System generates scheduler task corresponding with the metadata schema, and controls and execute the scheduler task, i.e. this method passes through first number
According to driving scheduler task, reduce artificial participation, simplifies the driving operation of scheduling system, improve data-handling efficiency.
Description of the drawings
Attached drawing described herein is used for providing further understanding the embodiment of the present invention, constitutes the embodiment of the present invention
A part does not constitute the restriction to the embodiment of the present invention.In the accompanying drawings：
Fig. 1 is a kind of realization stream of the method that dispatching system based on metadata driven provided in first embodiment of the invention
Cheng Tu；
Fig. 2 is a kind of realization stream of the method that dispatching system based on metadata driven provided in second embodiment of the invention
Cheng Tu；
Fig. 3 is a kind of data model stratal diagram of the data warehouse provided in second embodiment of the invention；
Fig. 4 is a kind of method of the metadata driven scheduling system of the data warehouse provided in second embodiment of the invention
Schematic diagram；
Fig. 5 is that a kind of structure of the device that being dispatched system based on metadata driven provided in third embodiment of the invention is shown
It is intended to.
Specific implementation mode
Below in conjunction with the accompanying drawings and specific embodiment to the embodiment of the present invention carry out in further detail with complete explanation.It can manage
Solution, specific embodiment described herein are only used for explaining the embodiment of the present invention, rather than the restriction to the embodiment of the present invention.
It also should be noted that illustrating only for ease of description, in attached drawing and the relevant part of the embodiment of the present invention rather than complete
Portion's content.
First embodiment：
Fig. 1 is a kind of realization stream of the method that dispatching system based on metadata driven provided in first embodiment of the invention
Cheng Tu, this method can be executed by the device for being dispatched system based on metadata driven, and wherein the device can be by software and/or hard
Part realizes that the part that can be used as the server of data warehouse is built in the server internal of data warehouse.As shown in Figure 1,
The implementation process includes：
Step 11, the configuration item for obtaining metadata schema.
Distributed Data Warehouse based on e-commerce can be divided into the metadata schema of multiple levels.Wherein, metadata
The configuration item of model may include the mapping relations and data grabber rule in metadata schema between different tables or field
With the driving rule of each level metadata schema such as the time allocation rule of task scheduling and node allocation rule.Illustratively,
According to user's operation, the configuration item for the metadata schema that user is arranged as required to is obtained.
Step 12, according to the metadata schema and the configuration item, generate data mart modeling script.
Wherein, data mart modeling script is the script being for data processing to the corresponding metadata of metadata schema.Data mart modeling
The type of script may include storing process, affairs, index, trigger and function etc..Illustratively, according to metadata schema and
The configuration item of user setting generates data mart modeling script.
Optionally, described to generate data mart modeling script according to the metadata schema and the configuration item, including：It will be pre-
If data mart modeling script template in model parameter replace with the metadata schema of acquisition, by the data mart modeling script template
In configuration item parameter replace with the configuration item data of acquisition, generate data mart modeling script.Since data mart modeling script is by first number
It is determined according to model and configuration item, therefore the present embodiment only need to change first number when user needs to create new data mart modeling script
According to the configuration item of model, without manual creation and data mart modeling script is edited.
Step 13, by the corresponding metadata of the metadata schema and the data mart modeling script synchronization of generation to scheduling system
In, so that scheduling system is generated scheduler task corresponding with the metadata schema, and control and execute the scheduler task.
Wherein, scheduling system executes the corresponding scheduler task of metadata schema for generating and controlling.Illustratively, it dispatches
System generates scheduler task according to the metadata schema and data mart modeling script of reception, and controls execution scheduler task, compared to
Manual creation scheduler task in the method for existing driving scheduling system, reduces artificial degree of participation.
Optionally, step 13 includes：
A, scheduling system creation tune in the metadata of metadata schema and data mart modeling script synchronization to scheduling system, will be made
Degree task, and be the scheduler task distribution node.
Wherein, node is the data processing node in the server of data warehouse.Illustratively, scheduling system is according to reception
Metadata and data mart modeling script create scheduler task, and be scheduler task distribution node.
B, the corresponding metadata schema of scheduler task and data mart modeling script are sent on the node of distribution, make the section
Point executes the scheduler task being assigned to.
Optionally, after control executes the scheduler task, further include：The implementing result of the scheduler task is obtained, and
Using the implementing result of acquisition as the metadata of the upper layer metadata schema of the metadata schema.
Illustratively, using the implementing result of acquisition as the metadata of upper layer metadata schema, to obtain user setting
Upper layer metadata schema configuration item when, generate upper layer metadata schema data mart modeling script, and pass through dispatch system production
The scheduler task of raw upper layer metadata schema, and the system control of scheduling executes the scheduler task of upper layer metadata schema, obtains
The implementing result of layer metadata schema.Therefore, the dependence of hierarchal model is accurate up and down in this method, clearly.
Optionally, when detecting that user changes the configuration item of metadata schema or metadata schema, according to modified
Metadata schema and configuration item create new data mart modeling script, and new data mart modeling script is sent to scheduling system, make tune
Degree system creation simultaneously controls the new scheduler task of execution.
Illustratively, when user executes modification, delete operation to metadata schema, corresponding metadata schema is changed
Configuration item, driving scheduling system generate new scheduler task according to modified configuration item, and control new scheduler task and execute.
Method provided by the invention, need to only change metadata schema and metadata schema configuration item can generate it is new
Scheduler task is not necessarily to user's human-edited's data mart modeling script, is manually adjusting compared to the method for existing driving scheduling system
Scheduler task is created in degree system, without artificial for scheduler task distribution node, that is, this method is reduced compared with the prior art
Artificial participation, reduces error rate, the task nexus executed by scheduling system is more clear, data are more accurate, is held
Row is more stablized.
Second embodiment
The present embodiment on the basis of the above embodiments, provides a kind of method for dispatching system based on metadata driven.
Fig. 2 is a kind of implementation flow chart of the collecting method of the data warehouse provided in second embodiment of the invention.
As shown in Fig. 2, the method for dispatching system based on metadata driven includes：
Step 21, newly-built metadata schema, build table name, the field name of data model.
As shown in figure 3, the Distributed Data Warehouse based on e-commerce, by hadoop platforms, using hive as number
According to library tool, metadata schema can be divided into following level：Buffered data layer (Buffering Data Model, BDM), base
Plinth data Layer (Fundamental Data Model, FDM), conventional data layer (General Data Model, GDM), polymerization
In data Layer (Aggregative Data Model, ADM), dimension data library (Dimension Data Base, DDB), calculating
Between library/volatile data base (Temporary Data Base, TDB).Wherein, buffered data layer, for being taken out from source system by data
This layer is got, data enter in the form of a file to the locals hadoop；Basic data layer, for by the data of buffer layer, passing through drawing
The mode of chain is worked into this layer；Conventional data layer, for according to business-subject, base layer data to be processed by service logic
At subject data；Basal layer or general layer data are processed into aggregate number by aggregated data layer for pressing dimension by summarization logic
According to；Dimension data layer is deposited into for extracting dimension related data from the system of source in this layer；Ephemeral data layer, for interim
Data mart modeling, storage layer.
Illustratively, the table name and field name of conventional data layer, and the table name and field name of newly-built aggregated data layer are created.
Step 22, the levels dependence for combing data model make between model table, the mapping relations of interfield and drive
Dynamic rule.
Illustratively, basic data layer is the underlying data model of conventional data layer and aggregated data layer, by basic data
Data in 10 tables in basic database are merged into poly- by the identical data mart modeling of middle business-subject to conventional data layer
It closes in a table in data Layer.
Step 23 passes through metadata schema, mapping relations and driving rule, generation data mart modeling script.
As shown in figure 4, by the corresponding metadata of basic data layer, mapping relations and driving rule, by basic data layer
Data be processed into the first data mart modeling script of subject data by service logic, and by dimension by the number of basic data layer
According to being processed into the second data mart modeling script of aggregated data by summarization logic.
Step 24, will in the corresponding metadata of metadata schema and data mart modeling script synchronization to scheduling system, dispatch system
Construction in a systematic way is vertical to generate corresponding scheduler task.
As shown in figure 4, by the corresponding metadata of basic data layer and the first data mart modeling script synchronization to scheduling system,
Scheduling system generates the first scheduler task, by the corresponding metadata of basic data layer and the second data mart modeling script synchronization to dispatching
In system, scheduling system generates the second scheduler task.
Step 25, scheduling system are scheduler task distribution node, and by the corresponding metadata schema of scheduler task and data
Processing script is sent on the node of distribution, and the node is made to execute the scheduler task being assigned to.
Illustratively, scheduling system is the first scheduler task and the second scheduler task distribution node, and by basic data layer
And each scheduler task is assigned on corresponding node, the node executes the scheduler task being assigned to.
The method provided in this embodiment for dispatching system based on metadata driven supports metadata schema to scheduling system
Driving mitigates to reach data model newly-built, modification, the function of deleting and relies on workload between huge table, reduce artificial ginseng
With degree；By metadata driven, it can trace model with retention data model history relationship and change history；Make scheduling system not
Rely on artificial participate in, it is ensured that the dependence of each layer model is more accurate, overlying relation is more clear, data accurately and timely.
3rd embodiment
Fig. 5 is that a kind of structure of the device that being dispatched system based on metadata driven provided in third embodiment of the invention is shown
It is intended to, which can be built in the server internal of data warehouse.As shown in figure 5, described based on metadata driven scheduling system
The device of system includes configuration item acquiring unit 31, script generation unit 32 and data synchronisation unit 33.
Wherein, configuration item acquiring unit 31 is used to obtain the configuration item of metadata schema；
Script generation unit 32 is used to, according to the metadata schema and the configuration item, generate data mart modeling script；
Data synchronisation unit 33 is used for the data mart modeling script of the corresponding metadata of the metadata schema and generation is same
It walks in scheduling system, scheduling system is made to generate scheduler task corresponding with the metadata schema, and control and execute the tune
Degree task.
Optionally, the script generation unit 32 is specifically used for：
The metadata schema that model parameter in preset data mart modeling script template is replaced with to acquisition, by the data
Configuration item parameter in processing script template replaces with the configuration item data of acquisition, generates data mart modeling script.
Optionally, the data synchronisation unit 33 includes：
Data synchronize subelement, for by the metadata of metadata schema and data mart modeling script synchronization to scheduling system
In, make scheduling system creation scheduler task and is the scheduler task distribution node；
Data transmission sub-unit, for the corresponding metadata schema of scheduler task and data mart modeling script to be sent to distribution
Node on, so that the node is executed the scheduler task being assigned to.
Optionally, described device further includes：
As a result acquiring unit obtains the execution knot of the scheduler task after executing the scheduler task in control
Fruit, and using the implementing result of acquisition as the metadata of the upper layer metadata schema of the metadata schema.
Optionally, when detecting that user changes the configuration item of metadata schema or metadata schema, according to modified
Metadata schema and configuration item create new data mart modeling script, and new data mart modeling script is sent to scheduling system, make tune
Degree system creation simultaneously controls the new scheduler task of execution.
Above-mentioned apparatus can perform the method that any embodiment of the present invention is provided, and have the corresponding function module of execution method
And advantageous effect.
The preferred embodiment of the upper only embodiment of the present invention, is not intended to restrict the invention embodiment, for ability
For field technique personnel, the embodiment of the present invention can have various modifications and changes.All spirit and principle in the embodiment of the present invention
Within any modification, equivalent replacement, improvement and so on, should be included within the protection domain of the embodiment of the present invention.
Claims (10)
1. a kind of method for dispatching system based on metadata driven, which is characterized in that including：
Obtain the configuration item of metadata schema, the configuration item includes between the metadata schema table, the mapping relations of interfield
With the driving rule of each level metadata schema；
According to the metadata schema and the configuration item, data mart modeling script is generated, the processing script is to first number
The script of data processing is made according to the corresponding metadata of model；
It is by scheduling in the corresponding metadata of the metadata schema and the data mart modeling script synchronization to scheduling system of generation, is made
System generates scheduler task corresponding with the metadata schema, and controls and execute the scheduler task.
2. according to the method described in claim 1, it is characterized in that, described according to the metadata schema and the configuration item,
Data mart modeling script is generated, including：
The metadata schema that model parameter in preset data mart modeling script template is replaced with to acquisition, by the data mart modeling
Configuration item parameter in script template replaces with the configuration item data of acquisition, generates data mart modeling script.
3. according to the method described in claim 1, it is characterized in that, described by the corresponding metadata sum number of the metadata schema
According in processing script synchronization to scheduling system, scheduling system is set to generate scheduler task corresponding with the metadata schema, and control
System executes the scheduler task, including：
Scheduling system creation scheduler task in the metadata of metadata schema and data mart modeling script synchronization to scheduling system, will be made
And it is the scheduler task distribution node；
The corresponding metadata schema of scheduler task and data mart modeling script are sent on the node of distribution, the node is made to execute
The scheduler task being assigned to.
4. according to claim 1-3 any one of them methods, which is characterized in that after control executes the scheduler task, also
Including：
The implementing result of the scheduler task is obtained, and using the implementing result of acquisition as the upper layer member number of the metadata schema
According to the metadata of model.
5. according to claim 1-3 any one of them methods, which is characterized in that
When detecting that user changes the configuration item of metadata schema or metadata schema, according to modified metadata schema and
Configuration item creates new data mart modeling script, and new data mart modeling script is sent to scheduling system, makes scheduling system creation simultaneously
Control executes new scheduler task.
6. a kind of device for dispatching system based on metadata driven, which is characterized in that including：
Configuration item acquiring unit, the configuration item for obtaining metadata schema, the configuration item include the metadata schema table
Between, the driving rule of the mapping relations of interfield and each level metadata schema；
Script generation unit, for according to the metadata schema and the configuration item, generating data mart modeling script, the processing
Script is the script that data processing is done to the corresponding metadata of the metadata schema；
Data synchronisation unit, for by the corresponding metadata of the metadata schema and the data mart modeling script synchronization of generation to tune
In degree system, scheduling system is made to generate scheduler task corresponding with the metadata schema, and controls and execute the scheduler task.
7. device according to claim 6, which is characterized in that the script generation unit is specifically used for：
The metadata schema that model parameter in preset data mart modeling script template is replaced with to acquisition, by the data mart modeling
Configuration item parameter in script template replaces with the configuration item data of acquisition, generates data mart modeling script.
8. device according to claim 6, which is characterized in that the data synchronisation unit includes：
Data synchronize subelement, for by the metadata of metadata schema and data mart modeling script synchronization to scheduling system, making
It dispatches system creation scheduler task and is the scheduler task distribution node；
Data transmission sub-unit, the section for the corresponding metadata schema of scheduler task and data mart modeling script to be sent to distribution
On point, the node is made to execute the scheduler task being assigned to.
9. according to claim 6-8 any one of them devices, which is characterized in that further include：
As a result acquiring unit obtains the implementing result of the scheduler task after executing the scheduler task in control, and
Using the implementing result of acquisition as the metadata of the upper layer metadata schema of the metadata schema.
10. according to claim 6-8 any one of them devices, which is characterized in that
When detecting that user changes the configuration item of metadata schema or metadata schema, according to modified metadata schema and
Configuration item creates new data mart modeling script, and new data mart modeling script is sent to scheduling system, makes scheduling system creation simultaneously
Control executes new scheduler task.
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| CN106528070B (en) * | 2015-09-15 | 2019-09-03 | 阿里巴巴集团控股有限公司 | A kind of data table generating method and equipment |
| CN106383717A (en) * | 2016-09-29 | 2017-02-08 | 上海宝尊电子商务有限公司 | Process cloud service e-commerce platform based on metadata configuration and method thereof |
| CN109446274B (en) * | 2017-08-31 | 2022-04-12 | 北京京东尚科信息技术有限公司 | Method and device for managing BI metadata of big data platform |
| CN109242259B (en) * | 2018-08-10 | 2020-12-11 | 华迪计算机集团有限公司 | Data integration method and system based on basic data resource library |
| CN110908994A (en) * | 2018-09-14 | 2020-03-24 | 北京京东金融科技控股有限公司 | Data model processing method, system, electronic device and readable medium |
| CN110020840B (en) * | 2019-01-04 | 2023-09-22 | 创新先进技术有限公司 | Data transmission method and system thereof |
| CN110674117A (en) * | 2019-09-26 | 2020-01-10 | 京东数字科技控股有限公司 | Data modeling method and device, computer readable medium and electronic equipment |
| CN112799794A (en) * | 2019-11-14 | 2021-05-14 | 马上消费金融股份有限公司 | Big data scheduling method, device and system and storage device |
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