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    Dataphin:Export incremental release packages

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    Dataphin:Export incremental release packages

    Last Updated:Jun 05, 2026

    Use incremental export to package project changes from a specific timeframe, business segment, or project in the source environment.

    Prerequisites

    Permissions

    Requires cross-tenant release permissions.

    Procedure

    1. Log on to Dataphin as the cross-tenant release user.

    2. In the top menu bar of the Dataphin homepage, choose Management Hub > Migration.

    3. In the left-side navigation pane, select Migration > Export Release Package.

    4. On the Export Release Package page, click New Release Package.

    5. On the New Release Package page, configure the parameters.

      Set Export Method to Incremental Export. Configure the remaining Basic Information and Export Information parameters as described in full export release packages.

    6. Click Save And Next.

    7. In the Export Scope step, configure which objects to export.

      Parameter

      Description

      Last Change Date

      Select All Dates or Specified Dates.

      Note

      Objects whose Last Change Date falls outside the selected range are excluded, even if changes occurred within that range.

      Object Type

      Select the object type to export. Available types include Global, Data Architecture, Development, Tag Architecture, Tag, Standard, Data Quality, Data Security object types.

      • Global: Includes statistical periods, global variables, public calendars, offline scheduling templates, data segments, compute sources, projects, data sources, object attributes, and detection features.

      • Data Architecture: Includes subject domains, business objects, and business activities.

      • Development: Includes offline pipelines, logical fact tables, logical dimension tables, business filters, atomic metrics, derived metrics, logical aggregate tables, resources, functions, compute tasks (support for different compute tasks varies by compute engine), database SQL, SHELL, PYTHON, VIRTUAL, meta tables, image tables, offline computing templates, and trigger nodes.

      • Tag Architecture: Includes entities and entity IDs.

      • Tag: Includes offline datasets, offline tags, and behavior relationships.

      • Standard: Includes lookup table directories, data standard set directories, public standard attributes, standard templates, data standard sets, data standards, mapping rules, mapping relationships, lookup tables, and root words.

      • Data Quality: Includes rule templates and quality rules.

      • Data Security: Includes data classification, data grading, detection features, detection results, and keys.

      Data Segments And Projects

      Select the data segments and projects for the objects to export. Security detection results follow the selected segments and projects. Data sources and quality are not affected by development resource filters.

      Important

      You must select a Project to retrieve export objects.

    8. Click Export Release Package.

      • Click Save Release Package to save a draft that you can edit later.

      • Click Save And Preview to save a draft and open the preview page. To modify the package, click Return To Edit at the bottom or Edit next to the basic information or export information.

      • Export duration depends on data volume and may range from minutes to hours.