💡 Challenge
We often use the PATCH function to modify individual records, but updating each row one by one can be slow, error-prone, and adds complexity to your app’s code.
✅ Solution
Use the PATCH function to update or insert an entire table (Collection) in one go, improving performance and maintaining data consistency.
🔧 How It’s Done
Here’s how to do it:
- Prepare your source table
🔸 Create a Collection or table containing all records you want to update.
🔸 Ensure that column names and data types match those of the target table. - Apply the PATCH function
🔸 Use the syntax:Patch(TargetTable, SourceCollection)
🔸 This single call updates or inserts all records in bulk. - Verify the update
🔸 Check the target table to ensure all changes were applied correctly.
🔸 Benefit from faster performance and cleaner code.
🎉 Result
You can now update multiple records in one operation, boosting your app’s speed and responsiveness while reducing code complexity and ensuring data integrity.
🌟 Key Advantages
🔸 Efficiency: Update or insert multiple records simultaneously, reducing server calls.
🔸 Data Integrity: Execute all changes in one operation to maintain consistency.
🔸 Simplicity: Eliminate loops and complex logic, keeping your code clean.
🎥 Video Tutorial
🛠️ FAQ
1. Can I use PATCH on any data source?
Most connectors that support delegation (such as Dataverse or SharePoint) allow bulk PATCH operations, but always verify limits and delegation warnings.
2. What happens if column names or data types don’t match?
The operation will fail or skip mismatched fields. Ensure your source table’s schema aligns exactly with the target table before patching.
3. Will PATCH overwrite existing records not included in the source?
PATCH only updates records present in the source. Records not included remain unchanged, which helps avoid unintended data loss.
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