Last updated: March 18, 2026
When to Resync
A resync re-fetches data from the platform, useful when:- You added new fields to a table and want historical data for those fields
- You changed filters and want historical data with the new filter criteria
- You changed platform options (e.g., attribution windows) and want consistent historical data
- You suspect data quality issues and want a clean reload
- A platform had an API outage during a sync and data is incomplete
Resync Options
Detrics offers two resync modes:Resync (Retain Data)
Re-fetches data based on each table’s historical sync range without deleting existing data outside that range.- For Incremental tables: Deletes and re-inserts within the refresh window (same as a normal sync, but triggers a broader re-fetch)
- For Full Refresh tables: Replaces the table with fresh data (same as a normal sync)
- For Full Append tables: Appends a new complete snapshot
Resync (Remove Data)
Deletes all existing data for the transfer’s accounts, then re-fetches everything from scratch based on each table’s historical sync range.- All rows with matching
_detrics_account_idvalues are deleted first - Then a full historical sync is performed
How to Trigger a Resync
Full Transfer Resync
- Go to the transfer’s detail page
- Click the Resync button
- Choose Retain Data or Remove Data
- Confirm the action
Single Table Resync
If only one table needs re-fetching:- Go to the transfer’s detail page
- Navigate to the Tables tab
- Click on the table you want to resync
- Click Resync This Table
Recovery from Errors
Connection Errors (Expired Token)
If a transfer fails because the platform token expired:- Go to Workspace → Connections and reconnect the platform
- Go back to the transfer and click Resume (if auto-paused)
- The next scheduled sync will use the refreshed token
BigQuery Permission Errors
If a transfer fails because BigQuery permissions were revoked:- Re-grant the Detrics service account the BigQuery User role
- Test the connection on the destination page
- Resume the transfer
Partial Success
If a run completes with Partial Success (some tables succeeded, some failed):- Successful tables have their data loaded normally
- Failed tables retain their previous data — nothing is lost
- Check the per-table error details in the run history
- Fix the issue and either wait for the next scheduled sync or trigger a manual sync
Interrupted Syncs
If a sync is interrupted (timeout, transient error):- Completed chunks are preserved — their data is already in BigQuery
- Incomplete chunks will be retried on the next sync
- For Incremental tables, the refresh window naturally covers recent data
- For large initial syncs, consider triggering a manual resync if significant chunks were missed
Best Practices
- Start with Retain Data — Most resync needs are handled without deleting existing data
- Use Single Table Resync when only one table’s configuration changed
- Check run history after a resync to verify the expected row counts
- Time your resyncs — Large resyncs consume platform API quota. Run them during off-peak hours when other syncs aren’t scheduled