CN103425751A - Linkage increment updating method of vector space data based on dependency - Google Patents

Abstract

The invention discloses a linkage incremental update method of vector space data based on dependency relationship. It includes the following steps: 1) Establish topology dependence, time dependence and attribute dependence for different vector space database nodes, each database node participating in the linkage update saves a synchronized dependency table, and the database node that will undergo linkage update is called is the database node to be updated; 2) According to the dependency of the database node to be updated on the database node, extract the update increment of the changed vector space database node; 3) according to the structure of the database node, distribute the changed vector space database The update increment of the node; 4) The database node to be updated receives the update increment of the changed vector space database node, and executes the incremental update. The invention provides an effective solution for solving the problem of relying on a large number of manual update operations to maintain the current situation and consistency among different vector space databases.

Description

A Linkage Incremental Update Method for Vector Space Data Based on Dependency

technical field

The present invention relates to the technical field of linkage update of vector space data, in particular to a linkage incremental update method of vector space data based on dependency relationship.

Background technique

The linkage update of vector spatial data is an important method to ensure the current situation and consistency of vector spatial data of various closely related land resources, and the linkage update of vector spatial data is used to avoid errors and errors caused by a large number of manual data update operations. Therefore, each Land and resources data management departments are urgently seeking solutions for the linkage update of general and scalable vector spatial data. In response to the urgent needs of various land and resources departments, there are currently incremental update processing methods based on local topology linkage, event-based spatio-temporal database incremental update methods, and spatio-temporal data update model-based incremental update methods.

However, the research of these update methods on the linkage update of spatial data only stays in the linkage update between different spatial element layers in a local and single database, and has not yet proposed to solve the problem of remote, scalable multiple vector spatial databases. The data linkage update scheme.

Contents of the invention

The purpose of the present invention is to solve the difficult problem of relying on a large number of manual update operations to maintain the current situation and consistency between different vector space databases, and to provide a linkage incremental update method of vector space data based on dependencies.

The linkage incremental update method of vector space data based on dependency includes the following steps:

1) Establish topology dependencies, time dependencies, and attribute dependencies for different vector space database nodes, and save all created dependencies in the dependency table through object persistence, and each database node participating in the linkage update saves a synchronization In the entire linkage update database node structure, the changed database node is called the current database node, and the database node to be updated is called the database node to be updated;

2) According to the dependency of the database node to be updated on the database node, extract the update increment of the changed vector space database node;

3) Passively distribute the update increment of the changed vector space database node according to the structure of the database node;

4) The database node to be updated receives the update increment of the changed vector space database node, and performs incremental update.

Step 2) as described includes:

(1) The vector spatial database node 0 is used as the local database node to import the initial "change increment Δ", and a new spatial database version V0 is created in the database node O to perform the update operation. At this time, the pre-update version V0 and the updated version V1 exist at the same time ;

(2) Read the dependency table in the database node, extract all records that have dependencies on the vector space database node 0, and instantiate each dependency through ORM mapping;

(3) Group dependencies according to data nodes. If vector space database nodes 1, 2, 3...n all depend on data node 0, sets R1, R2, R3...Rn refer to vector space database nodes 1, 2, 3... n's dependency set, save R1, R2, R3...Rn dependency information in a sequence container R_List;

(4) Read the nth element Rn of the sequence container R_List, and traverse all the dependencies of data node n in Rn to node 0 of the vector space database. According to the dependency information, n ? {0,1,2,3.. .}, extract the incremental update data "change increment Δ_n" of data node n from node 0 of the vector space database.

Step 3) as described includes:

(1) Convert the "increment of change Δ_n" into "increment of change ΔGML_n" in the general GML format;

(2) The message sending engine implemented by Socket programming sends the "change increment ΔGML_n" to the vector space database node n.

Step 4) as described includes:

(1) The vector space database node n receives the "change increment ΔGML_n" distributed by the vector space database node 0, and converts the "change increment ΔGML_n" into a localized format "change increment Δ_n";

(2) Read the "change increment Δ_n", and determine the spatial object to be changed and the change type of the changed spatial object through topology dependence, time dependence and attribute dependence;

(3) Perform database update operation mapping on the spatial objects that need to be changed, corresponding incremental update data, and change types, and convert them into a series of database operation commands consisting of "insert", "update", and "delete". The data of database node n is linked to be updated.

the

The present invention has the beneficial effect compared with prior art:

(1) The idea of extracting the dependency information between vector space data nodes from different sources and distributing incremental update data is designed, realizing the transfer linkage update between multi-source vector space data, from the flexible creation and In terms of management, it shows that the vector space data linkage incremental update method of the present invention has good expansibility;

(2) The vector space data linkage incremental update method of the present invention solves the problem of relying on a large number of manual operations to maintain the current situation and consistency between different land and resources vector space databases;

(3) The linkage incremental update method of vector spatial data of the present invention has good scalability and can be popularized in the field of application and management of vector spatial data of land resources.

Description of drawings:

The accompanying drawing is a flowchart of a method for linked incremental update of vector space data based on dependencies.

Detailed ways:

The linkage incremental update method of vector space data based on dependency includes the following steps:

1) Establish topology dependencies, time dependencies, and attribute dependencies for different vector space database nodes, and save all created dependencies in the dependency table through object persistence, and each database node participating in the linkage update saves a synchronization In the entire linkage update database node structure, the changed database node is called the current database node, and the database node to be updated is called the database node to be updated;

2) According to the dependency of the database node to be updated on the database node, extract the update increment of the changed vector space database node;

3) Passively distribute the update increment of the changed vector space database node according to the structure of the database node;

4) The database node to be updated receives the update increment of the changed vector space database node, and performs incremental update.

Step 2) as described includes:

(1) The vector spatial database node 0 is used as the local database node to import the initial "change increment Δ", and a new spatial database version V0 is created in the database node O to perform the update operation. At this time, the pre-update version V0 and the updated version V1 exist at the same time ;

(2) Read the dependency table in the database node, extract all records that have dependencies on the vector space database node 0, and instantiate each dependency through ORM mapping;

(3) Group dependencies according to data nodes. If vector space database nodes 1, 2, 3...n all depend on data node 0, sets R1, R2, R3...Rn refer to vector space database nodes 1, 2, 3... n's dependency set, save R1, R2, R3...Rn dependency information in a sequence container R_List;

(4) Read the nth element Rn of the sequence container R_List, and traverse all the dependencies of data node n in Rn to node 0 of the vector space database. According to the dependency information, n ? {0,1,2,3.. .}, extract the incremental update data "change increment Δ_n" of data node n from node 0 of the vector space database.

Step 3) as described includes:

(1) Convert the "increment of change Δ_n" into "increment of change ΔGML_n" in the general GML format;

(2) The message sending engine implemented by Socket programming sends the "change increment ΔGML_n" to the vector space database node n.

Step 4) as described includes:

(1) The vector space database node n receives the "change increment ΔGML_n" distributed by the vector space database node 0, and converts the "change increment ΔGML_n" into a localized format "change increment Δ_n";

(2) Read the "change increment Δ_n", and determine the spatial object to be changed and the change type of the changed spatial object through topology dependence, time dependence and attribute dependence;

(3) Perform database update operation mapping on the spatial objects that need to be changed, corresponding incremental update data, and change types, and convert them into a series of database operation commands consisting of "insert", "update", and "delete". The data of database node n is linked to be updated.

Example:

The first step is to select the current land use data and standard farmland data at a certain point in time in a certain area as experimental data, and establish topology dependence, time dependence and attribute dependence for the land use status data spatial database and standard farmland spatial database. Persistence saves all created dependencies in the dependency table, and each of the two database nodes saves a synchronized dependency table.

The second step is to extract the update increment of the changed vector space database according to the topological dependence, time dependence and attribute dependence of the standard farmland database nodes on the land use status database nodes;

In the third step, according to the dependency structure of the land use status database node and the standard farmland database node, the land use status database node transmits and distributes the update increment of the changed vector space database to the standard farmland database node;

In the fourth step, the standard farmland database node receives the update increment of the changed vector spatial data, performs database update operation mapping on the spatial data object to be changed, the corresponding incremental update data, and the change type, and converts it into a series of The database operation commands combined with "insert", "update" and "delete" perform linkage update on the data of node n in the vector space database.

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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