Force Import

If you find yourself stuck with interface errors or want to shield your workflow from accidental data updates, you can grab a spreadsheet snapshot of your device fleet data via the Export for Bulk Edit feature to use as a secure source of truth for later force-reverting your data. Taking regular snapshots of your device data and storing them safely outside the live Gopher for Chrome Premium interface is a fundamental strategy for reliable data management. If an accidental bulk adjustment occurs, this local file functions as your fallback policy.

Core Mechanism of Force Import

When managing bulk device records, Gopher for Chrome Premium relies on a background tracking calculation called a checksum. A checksum is a unique alphanumeric value generated by automatically combining all the data fields across a single spreadsheet row.

During a standard import, the system recalculates these strings against active database records. If the file values are completely identical to Gopher's baseline history, the import engine bypasses processing to optimize speed. However, if you have changed data within the live Gopher for Chrome Premium interface and attempt to import your pristine local snapshot to revert those changes, the system flags the file as an unedited duplicate. It issues a No changes detected block because it compares the file against the historical baseline file state rather than your live, altered interface states.

To bypass this checksum safeguard and assert your backup sheet as the absolute source of truth, you can utilize either the standard interface override or a direct file-structure modification.

Standard Workflow: Using the Interface Override

This method is recommended for everyday data correction without editing the underlying structure of your spreadsheet files.

1. Navigate to the Import workspace in Gopher and upload your saved device snapshot file.
   Device Search > Actions > Import for Bulk Edit
2. At the Validation step, if the checksum comparison determines that the imported file contains no differences from the current state, you will see the following alert:
   No changes to be made found in this file.
3. To continue past the alert, toggle the setting from Only my changes to All file values. 
4. A warning appears below the checkbox. Review the warning notification confirming that all rows will be aggressively synced with the file's contents.
5. Click Continue to execute the import and apply your snapshot.

Power User Workflow: Structural File Manipulation

For advanced operations, bulk automations, or workflows where you prefer to bypass the interface prompt entirely, you can force an update by altering the file's columns directly.

Because data comparisons occur in a strict row-by-row layout, altering the structural validation string forces the engine to treat the specific row as modified, allowing you to apply updates selectively.

How to Modify the File

1. Open your exported device data snapshot file in Google Sheets or your preferred CSV editor.
2. Locate the column titled checksum.

3. Clear the checksum cell values for the specific device rows you want to overwrite. You can leave these cells completely blank or type an arbitrary placeholder string such as RESET or CHANGE.

   Pro Tip: Clearing all cell values in the column, except for the column header, forces all devices to revert to the state in the sheet.

   Warning: Do not delete or alter the checksum column header itself. The header row must remain completely intact to pass core file validation.

4. Save and import the file using Import for Bulk Edit.

By clearing the checksum calculation string on a row, you explicitly signal to the import engine that the remaining row values are active changes that must immediately overwrite Google Admin records, skipping the matching error entirely.