Restore Data with Precision Repair
Learning Objectives
After completing this unit, you’ll be able to:
- Assess use cases appropriate for Precision Repair.
- Set up and run Precision Repair for targeted data recovery.
When Precision Matters Most
In the previous unit, you learned that Nina discovered that a faulty backup had corrupted the Email field on student records at Cloudy College. Instead of valid emails, the Email field for the impacted students displayed random text strings. The rest of the data in the student records is perfectly fine, but this affects hundreds of students right before the semester begins.
Nina needs a precise method to fix the damaged data without disrupting the rest of her organization. This is where Precision Repair, part of the Compare tool, becomes her instrument of choice. Nina can correct the damaged data, while at the same time leaving the correct updates in place.
When to Use Precision Repair
Precision Repair is designed for situations where you need to fix specific data issues without affecting your entire organization. Think of it as the difference between spot-treating a stain versus washing your entire wardrobe. Nina needs to configure her Precision Repair operation carefully. She has the following criteria to consider.
- Date range selection: Nina knows the faulty import happened the previous Tuesday, and the data was correct on Monday. She already ran a Compare, setting her date range from Monday’s backup, ensuring she identified clean data from before the corruption occurred. She uses this Compare as the base for her restore.
- Object selection: Because the student object was the only object with fields affected by the faulty import, Nina selects from the Compare results, only this object for restoration. This prevents unnecessary changes to other objects (for example, courses or instructors objects).
- Field filters: From the compare results, Nina selects the specific records with the erroneous email fields, narrows the restore option to include only the email field, and restores the values in these fields without overwriting all of the other intended changes. This is where Nina can get more specific. From the Compare results, she can select the specific records with exactly which fields need to be restored, filter the view by specific fields, and display only changed fields. In her case, she’s only interested in the email field, so she configures the filter to target just that field.
Restore Preview Generation: The Safety Net
Before Nina commits to the restoration, she carefully reviews the preview. This shows her:
- How many records will be affected.
- Which fields will be changed.
- What the values will become.
- Any potential conflicts or issues.
This preview is crucial because it enables Nina to verify that her criteria are correct before making any changes to her production org.
Benefits of the Restore Process
The restore process from a Precision Repair job offers several important benefits.
- In-app security and control: Restore your data with familiar selection and filtering tools, and without the need (and inherent risks) of exporting the data to a third party.
- Minimal disruption: Users can continue working normally while the restoration happens in the background. No downtime necessary.
- Reduced risk: Because only the specific corrupted data is addressed, there's no risk of accidentally overwriting recent, valid changes elsewhere.
- Maintained data integrity: Related objects and their relationships remain untouched. Nina can restore the values in the email field while ensuring connections between students and their courses, grades, and financial aid remain intact.
Best Practices When Restoring with Precision Repair
To get the most out of Precision Repair:
- Carefully assess the data presented in the preview step, even for seemingly simple restorations.
- Start narrow and begin with very specific criteria. You can always expand if needed.
- Document your criteria for future reference.
- Communicate with stakeholders and let affected teams know what you're restoring and when.
- Verify results. After restoration, spot-check some records to ensure the fix was successful.
Sum It Up
Precision Repair is the ideal tool for targeted data fixes, allowing you to correct specific issues like corrupted field values without disrupting your entire organization. Successful Precision Repair relies on careful configuration of three key criteria: Date Range Selection, Object Selection, and Field Filters. Always use the Restore Preview as a crucial safety net to confirm the scope of changes before applying the fix to maintain data integrity and minimize risk. Next, you learn about Data Loss versus Data Corruption.