We are in the process of converting our old parcel data to Parcel Fabric. Previously, our data used a tag model, where a relationship class linked the ObjectID from the line table to the tag table. The tag table stored the ObjectID as a key field in its attribute table.
In 2023, there was an unexpected change to the database, causing the ObjectIDs of the line features to reset. We are just realizing that this reset has led to misassignments of tags to features, as the ObjectIDs no longer match. Fortunately, we have a backup from 2023, but now we need to identify and fix the changes that occurred after the reset.
I’ve already extracted the new ObjectIDs, which are completely new and don’t match those that existed before the reset. Now, I need to figure out how to identify all the changes made to existing lines (such as new tags being assigned, lines being shortened, lengthened, or moved).
I’m currently using the Detect Feature Changes tool, but I’m not sure it will capture all the subtle changes (like small shifts or minor modifications) across 200,000+ lines and 250,000+ tags. How can I identify all of those modification help 😞
