CN108334566A - A kind of elevator data Services Composition based on requirement drive and view automatic generation method - Google Patents
A kind of elevator data Services Composition based on requirement drive and view automatic generation method Download PDFInfo
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Abstract
A kind of elevator data Services Composition based on requirement drive and view automatic generation method.First, elevator associated data set is encapsulated as elevator atomic data service；Secondly, according to user data demand, relevant atomic data service is searched for automatically on data service dependency graph, and atomic data Services Composition is generated into elevator complex data service；Finally, using the constraints of user data demand as input, complex data service creation elevator data assembled view is executed.The present invention provides a kind of effective data assembled view automatic generation method for the data integration based on requirement drive, improves its degree of automation.
Description
Technical field
The elevator data Services Composition that the present invention relates to a kind of based on requirement drive and view automatic generation method.
Background technology
Production, maintenance, each stage used are covered in elevator data source, and classification includes the master data of elevator, production
Data, maintenance data, operation data etc. have across main features such as enterprise, isomery, autonomies.Since these data are using a large amount of
Different types of data storage, is stored in cross-platform and isomery, the elevator data of dispersion is made to be difficult to realize share.
For the isomerism, distributivity and autonomy in elevator data source, a global view pattern is needed to have to difference
The data of data source carry out relationship map, realize across the integrated of data.Data integration by integrating heterogeneous data source get up with
One unified Data View is supplied to user, this view is Materialized View and virtual view.Virtual view method is will be each
Heterogeneous data source model information is integrated into a central server, and real data is still stored in one in each data source systems
Kind data integration mode.This unified global view pattern is not the integrated form of expression of true data copy, but
Data interaction flow is completed in order to facilitate user's transparence, data source isomery is solved the problems, such as, is supplied to the unified query of user
Interface, so this global view pattern is exactly unified virtual view.
In terms of data service combination is with Data View, (the IEEE Transactions on Services such as Gu Z
Computing, 2010) a kind of service data link model (SDL) is proposed to describe service data correlation, and is described
Application of the SDL models in the automatic service combination field of data-driven；(Chinese journal of computers, 2011) such as rocs is opened according to the group of user
It closes as a result, by the equivalence transformation of complex data service, the identical a variety of data service assembled schemes of generating run effect, and carries
The update optimization algorithm for having gone out to minimize the Data View of update cost is the data service that user recommends optimization using the algorithm
Assembled scheme；A warm men of virtue and ability etc. (computer science and exploration, 2012) propose the dynamic creation method across organization business Data View
IViewer, by visualization and easy-to-use data service combination operation come dynamic construction Data View；(the north industry such as Liu Chen
College journal, 2012) basic element built data service as Data View, by its with one be easy to user's manipulation be in
Current bound face associates, and the converging operation by providing visual the integration environment and interface level realizes data integration；Open roc etc.
(Chinese journal of computers, 2013) proposes a kind of nested views dynamic updating method based on data service, is nesting using pointer
Tuple in view establishes the reference of the data service of nested arbitrary levels, while it is newer to give a kind of record data service
Daily record and the nested views Incremental Updating Algorithm in the daily record, improve the data carry mechanism of nested views.
Invention content
The present invention will overcome the disadvantages mentioned above of the prior art, propose a kind of elevator data Services Composition based on requirement drive
With view automatic generation method.
The present invention is on the basis of elevator data services dependency graph, according to user data demand automatically to data service group
It closes, generates elevator complex data service, then execute the combination of complex data service creation data to input with user's constraints and regard
Figure improves the degree of automation of data combination view generation, has stronger practical value.
A kind of elevator data Services Composition based on requirement drive and view automatic generation method, include the following steps：
(1) elevator data service dependency graph is established；
Elevator associated data set is encapsulated as elevator atomic data service, is defined as follows：
Define 1 atomic data service：Can independent access and semantic not subdivisible data service be known as atomic data clothes
Business, it is expressed as an eight tuple ADS=<Id, Name, Fields, Description, Input, Output,
Operations, Publisher>, wherein Id is the unique mark of ADS；Name is the title of ADS；Fields is the attribute of ADS
List；Description is the semantic description of ADS；Input is the input of ADS, there are one or it is multiple；Output is the defeated of ADS
Go out, is a relationship；Operations is the operation that can perform to ADS, including inquiry, modification and deletion；Publisher is
The publisher of ADS；
According to data dependence relation, establishes elevator data service dependency graph and be as follows：
Step a1：According to the metadata in elevator data library, encapsulation elevator atomic data services ADS；
Step a2：According to the functional dependence and join dependency between attribute, elevator data dependency graph DDG is established, node is
Attribute, directed edge are dependence；
Step a3：Based on elevator data dependency graph, the data dependence relation between attribute is converted directly into atomic data clothes
Dependence between business, structure elevator data service dependency graph DSDG, and node is atomic data service, and nonoriented edge is connection
Relationship；
(2) elevator complex data service is automatically generated according to user demand；
(2.1) user data requirement description；
Data service anabolic process carries out under user data requirement drive, and user data demand DR indicates user institute
The data object operated is needed, is defined as follows：
Define 2 demand datas：The required attribute list of user, constraints and the operation of execution, which are known as data, to be needed
It asks, is expressed as a triple DR=<Requires,Conditions,Operations>, wherein Requires expression data
The attribute list of demand；Conditions=<Field,Value>| Field indicates that attribute-name, Value indicate attribute value>Table
Show the constraints of demand data；Operations={ get, delete, update } expressions need operation to be performed；
(2.2) it is based on data service dependency graph and generates complex data service；
According to user data demand, relevant atomic data service is searched for automatically on data service dependency graph, and will be former
The result of subdata Services Composition is known as complex data service CDS, is defined as follows：
Define 3 complex data services：Be made of several atomic data services and can independently accessed data service be known as
Complex data service, it is expressed as an eight tuple CDS=<Id, Name, Sub-DSDG, Description, Input,
Output, Operations, Publisher>, wherein Id is the unique mark of CDS；Name is the title of CDS；Sub-DSG is
The subgraph of DSDG；Description is the semantic description of CDS；Input is the input of CDS, is had 1 to multiple；Output is CDS
Output, be a relationship；Operations is the operation that can perform to CDS；Publisher is the publisher of CDS；
The thought of complex data service creation algorithm based on requirement drive：It is excellent by range since first demand properties
First strategy accesses data service dependency graph, until all demand properties are accessed, obtains first attribute between remaining attribute
Access path, choose relevant ADS successively by access path, combine all ADS and generate CDS, algorithm is as follows：
Input：Data service dependency graph DSDG, demand data DR
Output：Complex data services CDS
Step b1：First attribute field1 in the Requires attribute lists of DR is chosen, attribute field1, which is done, have been accessed
Label, judge whether attribute field1 is major key, if so, choose with field1 be input attribute, output attribute ADS be initial
Access node n ode1；If it is not, it is that input attribute, the affiliated table major keys of field1 are as the ADS of output attribute to choose using field1
Initial access node n ode1；
Step b2：Node n ode1 is done and has accessed label, output listing is added and is pressed into queue queue；
Step b3：If queue is not sky, node n ode1 is popped up, by what is had not visited in node1 all of its neighbor nodes
Node is pressed into queue, does and has accessed label, and the preposition node for recording each node is node1；
Step b4：Whether judge to have accessed node comprising ADS all in DR attribute lists, if including, go to step b5；
If not including, b3 is gone to step；
Step b5：Judge in the Requires attribute lists of DR with the presence or absence of the attribute field2 not accessed, and if it exists, belong to
Property field2 do and accessed label, choose ADS as initial access node n ode2 by the judgment rule of step b1, by node2 plus
Enter in output listing；If being not present, the ADS in output listing is encapsulated as a CDS, terminates algorithm；
Step b6：Judge whether the preposition node of node2 is included in output listing, if including, go to step b5；If no
Including being then added in output listing, preposition node, which is designated as node2, repeats step b6；
As long as all properties in attribute list of the data dependence graph comprising demand data can centainly find related original
Subdata service generates the complex data service for meeting demand data by Services Composition；
(3) elevator data assembled view is automatically generated according to user's constraints；
Complex data service CDS contain with the relevant atomic data service of demand data and its dependence, with user
As input, the result executed is known as data assembled view, is defined as follows the constraints of demand data：
Define 4 data assembled views：It executes the result generated after complex data service and is known as data assembled view, form
On be a two-dimensional table；
The thought of elevator data assembled view automatic generating calculation based on requirement drive：It is corresponded to from first conditional attribute
ADS start to execute, and by breadth-first strategy access complex data service, when there is the case where redundant access, by graph structure
Access portion and non-access portion divide, never access portion continues to access, until all ADS are executed, to all generations
Data subset be attached operation successively and form complete data set, then data set is projected and is screened by all conditions
Operation, obtains result set, algorithm is as follows：
Input：Complex data services dependency graph CDS, demand data DR
Output：Elevator data assembled view DCV
Step c1：The attribute for choosing first condition in the Conditions of DR, judges whether attribute field is major key,
If so, it is the ADS1 of field to execute input attribute, output attribute all；If it is not, it is input attribute, field to execute with field
Affiliated table major key is the ADS1 of output attribute；
Step c2：By breadth-first strategy, queue Queue1 will be pressed into all ADS being connected to of ADS1
Step c3：If Queue1 is not sky, ADS2 is popped up, if the output attribute of ADS1 is major key, goes to step c4；If ADS1
Output attribute not be major key, go to step c6；If Queue1 is sky, current data set is stored in data set chained list, goes to step c8；
Step c4：If the output attribute of ADS2 is major key, the output result of ADS2 is equal to the output result of ADS1；If
The output attribute of ADS2 is not major key, goes to step c5；
Step c5：If the table belonging to the output attribute of ADS2 has multiple major keys, by remaining in addition to the output attribute of ADS1
Major key is the ADS indentation queue Queue2 of input, then goes to step c2；If only there are one major keys, with the output result of ADS1
For input, ADS2 is executed, c2 is then gone to step；
Step c6：If the output attribute of ADS2 and the output attribute of ADS1 belong to same table, 7 are gone to step, otherwise will
ADS2 is pressed into queue Queue2；
Step c7：If only there are one major keys for the output attribute of ADS2 affiliated table, c5 is gone to step, it otherwise will be defeated except ADS1
Remaining major key gone out outside attribute is the ADS indentation queues Queue2 of input；
Step c8：If Queue2 is not sky, ADS3 is popped up, c2 is gone to step；If Queue2 is sky, will be in data set chained list
Multiple data subsets execute attended operation；
Step c9：Projection operation is executed to the result of connection by all Requires attributes, is then pressed all
Conditions conditions are screened, and algorithm is terminated；
The attribute list of the attribute and demand data that include in data assembled view matches, when the data result of execution is deposited
In the constraints for meeting demand data, a two-dimensional table is automatically generated.
It is an advantage of the invention that：The present invention builds data service dependency graph according to the dependence of atomic data service,
On the basis of this, atomic data service creation complex data service is combined according to user data demand automatically, then item is constrained with user
Part is that input executes complex data service creation data assembled view, and providing one kind for the data integration based on data service has
Data service combination and the view automatic generation method of effect, improve its degree of automation.
Description of the drawings
Fig. 1 is the elevator data dependency graph of the present invention
Fig. 2 is the elevator data service dependency graph of the present invention
Fig. 3 is the complex data service dependency graph for meeting user data demand of the present invention
Specific implementation mode
Below in conjunction with the accompanying drawings, the technical solution further illustrated the present invention.
For purposes of illustration only, setting there are the two of elevator enterprises information system, the relation schema and attribute that they include are such as
Shown in table 1, design department's elevator Basic Information Table major key is a, and elevator customer information table major key is e, elevator order information table connection
It is { a, e } to close major key；Maintenance department's elevator Basic Information Table major key is k, and it is o, elevator reparing record that elevator reparing, which records major key,
Joint major key is { k, o }, and attribute a and attribute the k semantic equivalence in two information systems therein interdepends, and is data set
Function served as bridge is provided at shared；
1 elevator enterprises data of information system collection of table
In conjunction with elevator data Services Composition of the elevator data set pair based on requirement drive and view automatic generation method
Specific implementation mode illustrates, and steps are as follows：
(1) elevator data service dependency graph is established；
Elevator associated data set is encapsulated as elevator atomic data service, obtains elevator atomic data set of service such as table 2
It is shown；
2 elevator atomic data set of service of table
According to the functional dependence and join dependency between attribute, elevator data dependency graph DDG is established, node is attribute, is had
It is dependence to side, as shown in Figure 1；
Based on elevator data dependency graph, the data dependence relation between attribute is converted directly between atomic data service
Dependence, structure elevator data service dependency graph DSDG, and node is atomic data service, and nonoriented edge is connected relation, such as
Shown in Fig. 2；
(2) elevator complex data service is automatically generated according to user demand；
(2.1) user data requirement description；
Data service anabolic process carries out under user data requirement drive, is indicated needed for user with demand data DR
The data object to be operated；
If there are a data query requirements：Customer name is " Hangzhou mansion ", the electricity of elevator entitled " sightseeing elevator "
Terraced information, demand data DR=<{ customer name, specifications and models, installed date, elevator title, installation site },<Customer name
Claim, " Hangzhou mansion ">、<Elevator title, " sightseeing elevator ">, Get>, wherein { customer name, specifications and models, installed date, electricity
Terraced title, installation site } indicate query demand attribute list；
(2.2) it is based on data service dependency graph and generates complex data service；
According to user data demand, relevant atomic data service is searched for automatically on data service dependency graph, and will be former
The result of subdata Services Composition is known as complex data service CDS；
By taking above-mentioned query demand DR as an example, obtain meeting the need according to the complex data service creation algorithm in invention content
The complex data service asked, as shown in Figure 3；
(3) elevator data assembled view is automatically generated according to user's constraints；
Complex data service CDS contain with the relevant atomic data service of demand data and its dependence, with user
For the constraints of demand data as input, the result executed is known as data assembled view；
The complex data, which is obtained, according to the elevator data assembled view generating algorithm in invention content services corresponding elevator
Data assembled view.
3 elevator data assembled view of table
| Customer name | Specifications and models | Installed date | Elevator title | Installation site |
| Hangzhou mansion | KWG2000/0.5VVVF | 2007-03-01 | Sightseeing elevator | Lower city martial arts circles square 21 |
| Hangzhou mansion | KWG2000 | 2008-08-01 | Sightseeing elevator | Lower city martial arts circles square 21 |
| Hangzhou mansion | SR1000/0.5-W | 2009-08-01 | Sightseeing elevator | Lower city martial arts circles square 21 |
Content described in this specification embodiment is only enumerating to the way of realization of inventive concept, protection of the invention
Range is not construed as being only limitted to the concrete form that embodiment is stated, protection scope of the present invention is also and in art technology
Personnel according to present inventive concept it is conceivable that equivalent technologies mean.
Claims (1)
1. a kind of elevator data Services Composition based on requirement drive and view automatic generation method, include the following steps：(1) it builds
Vertical elevator data services dependency graph；
Elevator associated data set is encapsulated as elevator atomic data service, is defined as follows：
Define 1 atomic data service：Can independent access and semantic not subdivisible data service be known as atomic data service, it
It is expressed as an eight tuple ADS=<Id, Name, Fields, Description, Input, Output, Operations,
Publisher>, wherein Id is the unique mark of ADS；Name is the title of ADS；Fields is the attribute list of ADS；
Description is the semantic description of ADS；Input is the input of ADS, there are one or it is multiple；Output is the output of ADS, is
One relationship；Operations is the operation that can perform to ADS, including inquiry, modification and deletion；Publisher is the hair of ADS
Cloth person；
According to data dependence relation, establishes elevator data service dependency graph and be as follows：
Step a1：According to the metadata in elevator data library, encapsulation elevator atomic data services ADS；
Step a2：According to the functional dependence and join dependency between attribute, elevator data dependency graph DDG is established, node is attribute,
Directed edge is dependence；
Step a3：Based on elevator data dependency graph, the data dependence relation between attribute is converted directly into atomic data and services it
Between dependence, structure elevator data service dependency graph DSDG, node be atomic data service, nonoriented edge be connection close
System；
(2) elevator complex data service is automatically generated according to user demand；
(2.1) user data requirement description；
Data service anabolic process carries out under user data requirement drive, and user data demand DR is indicated required for user
The data object of operation, is defined as follows：
Define 2 demand datas：The required attribute list of user, constraints and the operation of execution are known as demand data, table
It is shown as a triple DR=<Requires,Conditions,Operations>, wherein Requires expression demand datas
Attribute list；Conditions=<Field,Value>| Field indicates that attribute-name, Value indicate attribute value>Indicate data
The constraints of demand；Operations={ get, delete, update } expressions need operation to be performed；
(2.2) it is based on data service dependency graph and generates complex data service；
According to user data demand, relevant atomic data service is searched for automatically on data service dependency graph, and by atomicity
It is known as complex data according to the result of Services Composition and services CDS, is defined as follows：
Define 3 complex data services：Be made of several atomic data services and can be independently accessed data service it is referred to as compound
Data service, it is expressed as an eight tuple CDS=<Id, Name, Sub-DSDG, Description, Input, Output,
Operations, Publisher>, wherein Id is the unique mark of CDS；Name is the title of CDS；Sub-DSG is the son of DSDG
Figure；Description is the semantic description of CDS；Input is the input of CDS, is had 1 to multiple；Output is the output of CDS, is
One relationship；Operations is the operation that can perform to CDS；Publisher is the publisher of CDS；
The thought of complex data service creation algorithm based on requirement drive：By breadth First plan since first demand properties
Data service dependency graph is slightly accessed, until all demand properties are accessed, obtains first attribute to the visit between remaining attribute
It asks the way diameter, chooses relevant ADS successively by access path, combine all ADS and generate CDS, algorithm is as follows：
Input：Data service dependency graph DSDG, demand data DR
Output：Complex data services CDS
Step b1：First attribute field1 in the Requires attribute lists of DR is chosen, attribute field1, which is done, has accessed label,
Judge whether attribute field1 is major key, if so, it is to input the ADS of attribute, output attribute as initial access to choose using field1
Node n ode1；If it is not, to choose using field1 be input attribute, the affiliated table major keys of field1 as the ADS of output attribute are initial
Access node n ode1；
Step b2：Node n ode1 is done and has accessed label, output listing is added and is pressed into queue queue；
Step b3：If queue is not sky, node n ode1 is popped up, the node that will be had not visited in node1 all of its neighbor nodes
The preposition node for being pressed into queue, doing and having accessed label, and record each node is node1；
Step b4：Whether judge to have accessed node comprising ADS all in DR attribute lists, if including, go to step b5；If no
Including then going to step b3；
Step b5：Judge in the Requires attribute lists of DR with the presence or absence of the attribute field2 not accessed, and if it exists, attribute
Field2, which is done, has accessed label, chooses ADS as initial access node n ode2 by the judgment rule of step b1, node2 is added
In output listing；If being not present, the ADS in output listing is encapsulated as a CDS, terminates algorithm；
Step b6：Judge whether the preposition node of node2 is included in output listing, if including, go to step b5；If not wrapping
Contain, be then added in output listing, preposition node, which is designated as node2, repeats step b6；
As long as all properties in attribute list of the data dependence graph comprising demand data, can centainly find relevant atomic number
According to service, the complex data service for meeting demand data is generated by Services Composition；
(3) elevator data assembled view is automatically generated according to user's constraints；
Complex data service CDS contain with the relevant atomic data service of demand data and its dependence, with user data
As input, the result executed is known as data assembled view, is defined as follows the constraints of demand：
Define 4 data assembled views：It executes the result generated after complex data service and is known as data assembled view, be in form
One two-dimensional table；
The thought of elevator data assembled view automatic generating calculation based on requirement drive：It is corresponding from first conditional attribute
ADS starts to execute, and accesses complex data service by breadth-first strategy, when there is the case where redundant access, by graph structure
Access portion and non-access portion divide, and never access portion continues to access, until all ADS are executed, to all generations
Data subset is attached operation and forms complete data set successively, then is projected and screened behaviour to data set by all conditions
Make, obtains result set, algorithm is as follows：
Input：Complex data services dependency graph CDS, demand data DR
Output：Elevator data assembled view DCV
Step c1：The attribute for choosing first condition in the Conditions of DR, judges whether attribute field is major key, if so,
It is the ADS1 of field to execute input attribute, output attribute all；If it is not, it is input attribute, the affiliated tables of field to execute with field
Major key is the ADS1 of output attribute；
Step c2：By breadth-first strategy, queue Queue1 will be pressed into all ADS being connected to of ADS1
Step c3：If Queue1 is not sky, ADS2 is popped up, if the output attribute of ADS1 is major key, goes to step c4；If ADS1's is defeated
It is major key to go out attribute not, goes to step c6；If Queue1 is sky, current data set is stored in data set chained list, goes to step c8；
Step c4：If the output attribute of ADS2 is major key, the output result of ADS2 is equal to the output result of ADS1；If ADS2's
Output attribute is not major key, goes to step c5；
Step c5：If the table belonging to the output attribute of ADS2 has multiple major keys, by remaining major key in addition to the output attribute of ADS1
It is pressed into queue Queue2 for the ADS of input, then goes to step c2；It is defeated with the output result of ADS1 if only there are one major keys
Enter, executes ADS2, then go to step c2；
Step c6：If the output attribute of ADS2 and the output attribute of ADS1 belong to same table, 7 are gone to step, otherwise presses ADS2
Enqueue Queue2；
Step c7：If only there are one major keys for the affiliated table of the output attribute of ADS2, c5 is gone to step, it otherwise will be except the output category of ADS1
Property outside remaining major key be input ADS indentations queue Queue2；
Step c8：If Queue2 is not sky, ADS3 is popped up, c2 is gone to step；If Queue2 is sky, will be multiple in data set chained list
Data subset executes attended operation；
Step c9：Projection operation is executed to the result of connection by all Requires attributes, is then pressed all
Conditions conditions are screened, and algorithm is terminated；
The attribute list of the attribute and demand data that include in data assembled view matches, when the data result of execution exists completely
When the constraints of sufficient demand data, a two-dimensional table is automatically generated.
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| CN107239483A (en) * | 2017-04-14 | 2017-10-10 | 浙江工业大学 | A kind of cross-domain elevator data assembled view automatic generation method based on data, services |
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