Preserve the application identity.
Keep your existing primary key and map it to the returned token. The migration guide describes a parallel table that holds both values.
Introduce Databunker Pro through a staged migration: backfill records, store returned references, update application paths, and verify before cutting over.
The application database stays in your stack. Access to migrated profiles moves through the vault API.
id1024nameAlex Morganemail[email protected]user_tokenNot stored yetBackfill profiles.
Map returned references.
The migration worker creates a vault record and receives its reference.
a21fa1d3-8b4c-…Existing database reads
Credential: authorized vault API callsThe migration worker and application call the vault API. The table illustrates an intermediate migration state: original fields remain until you deliberately cut over and clean up.
Export the profiles selected for migration and create their vault records. Preserve the existing application identifier so returned tokens can be mapped correctly.
Illustrative migration using sample data. The demonstration does not connect to, modify, or delete a database.
Keep your existing primary key and map it to the returned token. The migration guide describes a parallel table that holds both values.
Backfill alone does not change what your application reads. Update the relevant reads and writes, account for new records, and exercise the full workflow.
Reconcile the result before cutting over. Then apply a documented plan to old tables and historical copies, with a rollback approach appropriate to each stage.
Pick a bounded profile flow and work through it end to end. Databunker’s migration guide covers backfill, verification, application changes, and the table swap.
Read the SQL migration guide ↗Walk through your architecture with a Databunker engineer.
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