Data Version Management

SuperMap iDesktopX provides a data version management function, supporting collaborative editing of the same dataset by multiple users. It allows multiple editing sessions to be isolated, supports data synchronization, automatic archiving, and historical traceability. This is suitable for tasks that require multi-user collaboration, such as land use surveys and map spot updates.

The Data Version Management section will introduce the following topics:

  • Version Control Overview: Introduces the concept of data version management and its usage process.
  • Version Control Basic Vocabulary: Explains fundamental terms related to data version management to help you quickly understand version management.
  • Register Version: Before performing data version management, datasets must be versioned through version registration. A datasource can contain both versioned and non-versioned datasets.
  • Version Control: Provides functions for creating and deleting versions, used for managing versioned data.
  • Switch Version: When editing a version, the version switching function must be used to display the editable version in the current map window; otherwise, significant data conflicts may occur.
  • Handle Conflict: When multiple users edit the same data, data conflicts may arise during updates. These conflicts need to be resolved.
  • Commit Changes: Edited versioned data must be submitted before it can be updated to the parent version and merged with edits from other users.
  • Historical Moments: Records data information at specific moments. Historical traceability can be achieved by adding historical moments or specifying a time, facilitating the review of data editing history.
  • Object Trace History: Includes two functions: object history changes and historical deletions. History changes refer to the traceability of an object's editing history, with historical data stored in the object properties. Historical deletions refer to the traceability of deleted objects, with historical data stored in dataset properties.
  • Manage Replica: Introduces the concept and workflow of replica management, as well as how to create, synchronize, and manage replicas.