CN103425751A - Linkage increment updating method of vector space data based on dependency - Google Patents
Linkage increment updating method of vector space data based on dependency Download PDFInfo
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Abstract
The invention discloses a linkage increment updating method of vector space data based on dependency. The linkage incremental updating method includes the following steps that firstly, topology dependency, time dependency and attribute dependency are set up for different vector space database nodes, each database node participating in linkage upgrading stores a synchronous dependency table, and the database node to undergo linage upgrading is named to be a database node to be upgraded; secondly, upgrading increments of the vector space database nodes which are modified are extracted according to the dependency on the database nodes of the database node to be upgraded; thirdly, upgrading increments of the vector space date nodes which are modified are distributed in a transmission mode according to the structures of the database nodes; fourthly, the database node to be upgraded receives the upgrading increments of the vector space database nodes which are modified, and increment upgrading is performed. The linkage increment updating method effectively solves the problem that a great number of manual upgrading operation is needed for maintaining the up-to-date performance and consistency among different vector space databases.
Description
Technical field
The present invention relates to the technical field of the interlock renewal of Vector spatial data, relate in particular to a kind of interlock increment updating method of the Vector spatial data based on dependence.
Background technology
It is the trend of the times and the conforming important method of guaranteeing various tight land resources Vector spatial datas that the interlock of Vector spatial data is upgraded, utilize the interlock renewal of Vector spatial data to avoid a large amount of artificial data renewal operation institutes to make the mistake and error, so each land resources data management service is all urgently sought the solution that interlock general, extendible Vector spatial data is upgraded.For this eager demand of each land resources department, mainly contain at present the incremental update disposal route based on the local topology interlock, the space-time database increment updating method based on event, the increment updating method based on the spatiotemporal data update model etc.
But, the interlock that the research that these update methods are upgraded for the interlock of spatial data only rests between local, single lane database different spaces key element layer is upgraded, and also proposes to solve the scheme that the data linkage between long-range, extendible a plurality of rules in spatial database of vector data models is upgraded.
Summary of the invention
The objective of the invention is to solve a large amount of artificial regeneration operation of dependence and go to safeguard the trend of the times and a conforming difficult problem between different rules in spatial database of vector data models, a kind of interlock increment updating method of the Vector spatial data based on dependence is provided.
The interlock increment updating method of the Vector spatial data based on dependence comprises the steps:
1) set up topological dependence, Time Dependent and Feature Dependence relation for different rules in spatial database of vector data model nodes, by Object Persistence, the dependence of all establishments is kept in the dependence table, each participates in the database node of interlock renewal and respectively preserves a synchronous dependence table, in the database node structure of upgrading in whole interlock, the database node that change has occurred is called the database node, and the database node that the interlock renewal will occur is called database node to be updated;
2) dependence to the database node according to database node to be updated, the more new increment of the rules in spatial database of vector data model node of change has occurred in extraction;
3) according to the structure transmission of database node distribute the more new increment of the rules in spatial database of vector data model node changed;
4) database node to be updated receives the more new increment of the rules in spatial database of vector data model node changed, and carries out incremental update.
Described step 2) comprising:
(1) rules in spatial database of vector data model node 0 " the increments of change Δ " the most initial as the local data base Node leading-in, in database node O, newly-built spatial database version V0 carries out to upgrade and operates, and now upgrades front version V0 and upgrade rear version V1 to exist simultaneously;
(2) the dependence table in the reading database node, extract all records that rules in spatial database of vector data model node 0 is occurred to for dependence, by ORM is shone upon each dependence instantiation;
(3) dependence is divided into groups according to back end, if rules in spatial database of vector data model node 1,2,3 ... n relies on back end 0, set R1, R2, R3 ... Rn refers to respectively rules in spatial database of vector data model node 1,2,3 ... the dependence collection of n, R1, R2, R3 ... the Rn dependency information is kept in a sequence container R_List;
(4) read n the element Rn of sequence container R_List, the dependence of all back end n in traversal Rn to rules in spatial database of vector data model node 0, according to dependency information, n { 0,1,2,3...}, in the incremental update data " increments of change Δ _ n " of rules in spatial database of vector data model node 0 extraction back end n.
Described step 3) comprises:
(1) " increments of change Δ _ n " converted to " the increments of change Δ GML_n " of general GML form;
(2) send engine " increments of change Δ GML_n " sent to rules in spatial database of vector data model node n by the programme message that realizes of Socket.
Described step 4) comprises:
(1) rules in spatial database of vector data model node n receives " the increments of change Δ GML_n " that rules in spatial database of vector data model node 0 distributes, and " increments of change Δ GML_n " is converted to " the increments of change Δ _ n " of this localityization form;
(2) read " increments of change Δ _ n ", determine the type of variation of the spatial object of the spatial object that needs change and change by topology dependence, Time Dependent, Feature Dependence;
(3) the database update operation map is carried out in spatial object and corresponding incremental update data, the change type of needs change, change into the database manipulation order by a series of " insertions ", " renewal ", " deletion " combination, to the renewal that links of the data of rules in spatial database of vector data model node n.
The beneficial effect that the present invention compared with prior art has:
(1) designed the thinking that the incremental update data were extracted and distributed to dependency information between the Vector spatial data node of root separate sources, realized that transmission between multi-source Vector spatial data interlock upgrades, embodied Vector spatial data interlock increment updating method of the present invention from the flexible establishment of dependence and management aspect and there is good extendability;
(2) Vector spatial data interlock increment updating method of the present invention has solved and has relied on a large amount of manually-operateds to go to safeguard the trend of the times and consistance between different land resources rules in spatial database of vector data models;
(3) the interlock increment updating method of Vector spatial data of the present invention is with good expansibility, and can be promoted at application and the management domain of land resources Vector spatial data.
The accompanying drawing explanation:
Accompanying drawing is based on the process flow diagram of interlock increment updating method of the Vector spatial data of dependence.
Embodiment:
The interlock increment updating method of the Vector spatial data based on dependence comprises the steps:
1) set up topological dependence, Time Dependent and Feature Dependence relation for different rules in spatial database of vector data model nodes, by Object Persistence, the dependence of all establishments is kept in the dependence table, each participates in the database node of interlock renewal and respectively preserves a synchronous dependence table, in the database node structure of upgrading in whole interlock, the database node that change has occurred is called the database node, and the database node that the interlock renewal will occur is called database node to be updated;
2) dependence to the database node according to database node to be updated, the more new increment of the rules in spatial database of vector data model node of change has occurred in extraction;
3) according to the structure transmission of database node distribute the more new increment of the rules in spatial database of vector data model node changed;
4) database node to be updated receives the more new increment of the rules in spatial database of vector data model node changed, and carries out incremental update.
Described step 2) comprising:
(1) rules in spatial database of vector data model node 0 " the increments of change Δ " the most initial as the local data base Node leading-in, in database node O, newly-built spatial database version V0 carries out to upgrade and operates, and now upgrades front version V0 and upgrade rear version V1 to exist simultaneously;
(2) the dependence table in the reading database node, extract all records that rules in spatial database of vector data model node 0 is occurred to for dependence, by ORM is shone upon each dependence instantiation;
(3) dependence is divided into groups according to back end, if rules in spatial database of vector data model node 1,2,3 ... n relies on back end 0, set R1, R2, R3 ... Rn refers to respectively rules in spatial database of vector data model node 1,2,3 ... the dependence collection of n, R1, R2, R3 ... the Rn dependency information is kept in a sequence container R_List;
(4) read n the element Rn of sequence container R_List, the dependence of all back end n in traversal Rn to rules in spatial database of vector data model node 0, according to dependency information, n { 0,1,2,3...}, in the incremental update data " increments of change Δ _ n " of rules in spatial database of vector data model node 0 extraction back end n.
Described step 3) comprises:
(1) " increments of change Δ _ n " converted to " the increments of change Δ GML_n " of general GML form;
(2) send engine " increments of change Δ GML_n " sent to rules in spatial database of vector data model node n by the programme message that realizes of Socket.
Described step 4) comprises:
(1) rules in spatial database of vector data model node n receives " the increments of change Δ GML_n " that rules in spatial database of vector data model node 0 distributes, and " increments of change Δ GML_n " is converted to " the increments of change Δ _ n " of this localityization form;
(2) read " increments of change Δ _ n ", determine the type of variation of the spatial object of the spatial object that needs change and change by topology dependence, Time Dependent, Feature Dependence;
(3) the database update operation map is carried out in spatial object and corresponding incremental update data, the change type of needs change, change into the database manipulation order by a series of " insertions ", " renewal ", " deletion " combination, to the renewal that links of the data of rules in spatial database of vector data model node n.
Embodiment:
The first step, select land use data that certain area puts sometime and standard farm field data as experimental data, for land use data spatial database and standard farmland spatial database are set up topological dependence, Time Dependent and Feature Dependence relation, by Object Persistence, the dependence of all establishments is kept in the dependence table, two database nodes are respectively preserved a synchronous dependence table.
Second step, topology dependence, Time Dependent and Feature Dependence relation according to standard farm field data storehouse node to the Database of Land Use node, the more new increment of the rules in spatial database of vector data model of change has occurred in extraction;
The 3rd step, according to the dependency structure of Database of Land Use node and standard farm field data storehouse node, the Database of Land Use node to the node transmission of standard farm field data storehouse distribute the more new increment of the rules in spatial database of vector data model that change has occurred;
The 4th step, standard farm field data storehouse node receives the more new increment of the Vector spatial data that change has occurred, spatial data object and corresponding incremental update data, the change type that is about to occur to change carried out to the database update operation map, change into the database manipulation order by a series of " insertions ", " renewal ", " deletion " combination, to the renewal that links of the data of rules in spatial database of vector data model node n.
Claims (4)
1. the interlock increment updating method of the Vector spatial data based on dependence, is characterized in that comprising the steps:
1) set up topological dependence, Time Dependent and Feature Dependence relation for different rules in spatial database of vector data model nodes, by Object Persistence, the dependence of all establishments is kept in the dependence table, each participates in the database node of interlock renewal and respectively preserves a synchronous dependence table, in the database node structure of upgrading in whole interlock, the database node that change has occurred is called the database node, and the database node that the interlock renewal will occur is called database node to be updated;
2) dependence to the database node according to database node to be updated, the more new increment of the rules in spatial database of vector data model node of change has occurred in extraction;
3) according to the structure transmission of database node distribute the more new increment of the rules in spatial database of vector data model node changed;
4) database node to be updated receives the more new increment of the rules in spatial database of vector data model node changed, and carries out incremental update.
2. the interlock increment updating method of a kind of Vector spatial data based on dependence according to claim 1, is characterized in that described step 2) comprising:
(1) rules in spatial database of vector data model node 0 " the increments of change Δ " the most initial as the local data base Node leading-in, in database node O, newly-built spatial database version V0 carries out to upgrade and operates, and now upgrades front version V0 and upgrade rear version V1 to exist simultaneously;
(2) the dependence table in the reading database node, extract all records that rules in spatial database of vector data model node 0 is occurred to for dependence, by ORM is shone upon each dependence instantiation;
(3) dependence is divided into groups according to back end, if rules in spatial database of vector data model node 1,2,3 ... n relies on back end 0, set R1, R2, R3 ... Rn refers to respectively rules in spatial database of vector data model node 1,2,3 ... the dependence collection of n, R1, R2, R3 ... the Rn dependency information is kept in a sequence container R_List;
(4) read n the element Rn of sequence container R_List, the dependence of all back end n in traversal Rn to rules in spatial database of vector data model node 0, according to dependency information, n { 0,1,2,3...}, in the incremental update data " increments of change Δ _ n " of rules in spatial database of vector data model node 0 extraction back end n.
3. the interlock increment updating method of a kind of Vector spatial data based on dependence according to claim 1 is characterized in that described step 3) comprises:
(1) " increments of change Δ _ n " converted to " the increments of change Δ GML_n " of general GML form;
(2) send engine " increments of change Δ GML_n " sent to rules in spatial database of vector data model node n by the programme message that realizes of Socket.
4. the interlock increment updating method of a kind of Vector spatial data based on dependence according to claim 1 is characterized in that described step 4) comprises:
(1) rules in spatial database of vector data model node n receives " the increments of change Δ GML_n " that rules in spatial database of vector data model node 0 distributes, and " increments of change Δ GML_n " is converted to " the increments of change Δ _ n " of this localityization form;
(2) read " increments of change Δ _ n ", determine the type of variation of the spatial object of the spatial object that needs change and change by topology dependence, Time Dependent, Feature Dependence;
(3) the database update operation map is carried out in spatial object and corresponding incremental update data, the change type of needs change, change into the database manipulation order by a series of " insertions ", " renewal ", " deletion " combination, to the renewal that links of the data of rules in spatial database of vector data model node n.
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| CN105069045A (en) * | 2015-07-23 | 2015-11-18 | 百度在线网络技术（北京）有限公司 | Method and system for updating non-permanent relational data in database |
| CN106874182A (en) * | 2016-07-05 | 2017-06-20 | 阿里巴巴集团控股有限公司 | Code abnormality processing, code execution method and device |
| CN108009799A (en) * | 2017-12-21 | 2018-05-08 | 泰康保险集团股份有限公司 | The method and device of workflow persistence, storage medium, electronic equipment |
| CN108415998A (en) * | 2018-02-24 | 2018-08-17 | 平安科技（深圳）有限公司 | Using dependence update method, terminal, equipment and storage medium |
| CN109189999A (en) * | 2018-07-26 | 2019-01-11 | 浙江省测绘科学技术研究院 | A kind of vector dynamic updating method based on Spatio-Temporal Data Model for Spatial |
| CN112866306A (en) * | 2019-11-12 | 2021-05-28 | 阿里巴巴集团控股有限公司 | Resource management method and cloud service platform |
| CN116166765A (en) * | 2023-04-23 | 2023-05-26 | 国家基础地理信息中心 | Vector data updating method and device, electronic equipment and storage medium |
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Cited By (12)
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| CN105069045A (en) * | 2015-07-23 | 2015-11-18 | 百度在线网络技术（北京）有限公司 | Method and system for updating non-permanent relational data in database |
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| CN106874182A (en) * | 2016-07-05 | 2017-06-20 | 阿里巴巴集团控股有限公司 | Code abnormality processing, code execution method and device |
| CN106874182B (en) * | 2016-07-05 | 2020-03-10 | 阿里巴巴集团控股有限公司 | Code exception handling method and device, and code execution method and device |
| CN108009799A (en) * | 2017-12-21 | 2018-05-08 | 泰康保险集团股份有限公司 | The method and device of workflow persistence, storage medium, electronic equipment |
| CN108009799B (en) * | 2017-12-21 | 2021-12-31 | 泰康保险集团股份有限公司 | Method and device for persistence of workflow, storage medium and electronic equipment |
| CN108415998A (en) * | 2018-02-24 | 2018-08-17 | 平安科技（深圳）有限公司 | Using dependence update method, terminal, equipment and storage medium |
| WO2019161620A1 (en) * | 2018-02-24 | 2019-08-29 | 平安科技（深圳）有限公司 | Application dependency update method, terminal and device, and storage medium |
| CN109189999A (en) * | 2018-07-26 | 2019-01-11 | 浙江省测绘科学技术研究院 | A kind of vector dynamic updating method based on Spatio-Temporal Data Model for Spatial |
| CN112866306A (en) * | 2019-11-12 | 2021-05-28 | 阿里巴巴集团控股有限公司 | Resource management method and cloud service platform |
| CN112866306B (en) * | 2019-11-12 | 2024-05-28 | 阿里巴巴集团控股有限公司 | Resource management method and cloud service platform |
| CN116166765A (en) * | 2023-04-23 | 2023-05-26 | 国家基础地理信息中心 | Vector data updating method and device, electronic equipment and storage medium |
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