💡 Challenge

In Power Apps, maintaining separate logic branches for “Create” and “Update” can bloat your formulas and introduce bugs. How can you streamline this into a single operation?

✅ Solution

Use a single Patch() call combined with Coalesce(). If LookUp() finds no record, Coalesce() falls back to Defaults(DataSource), so the same call either updates an existing record or creates a new one.

🔧 How It’s Done

Here’s the step-by-step approach:

  1. Define your data source (e.g., Contacts)
    🔸 Make sure you have a collection or table connection, such as Contacts.
  2. Retrieve any existing record:
    🔸 varRecord = LookUp(Contacts, Email = varEmail)
    (This returns the record if it exists, otherwise Blank.)
  3. Use Patch() with Coalesce():
    🔸 Patch( Contacts, Coalesce( varRecord, Defaults(Contacts) ), { Email: varEmail, FullName: txtName.Text, Phone: txtPhone.Text } )
    🔸 Coalesce(varRecord, Defaults(Contacts)) ensures that if varRecord is Blank, the Defaults(Contacts) record template is used—resulting in a new record.
  4. Publish and test:
    🔸 When a matching record exists, it’s updated. If not, a new record is created with the field values you provided.

🎉 Result

You’ve consolidated two code paths into one: your form logic is cleaner, easier to maintain, and less error-prone. Now “upsert” (update or insert) happens seamlessly with a single Patch().

🌟 Key Advantages

🔸 One unified call instead of separate Create/Update branches
🔸 No extra variables or If() checks needed
🔸 Cleaner maintenance and improved performance
🔸 Consistent behavior across SharePoint, Dataverse, or any Power Apps data source


🛠️ FAQ

1. Do I still need If() conditions to check for existing records?
Coalesce() handles the check for you. If LookUp() returns Blank, it automatically uses Defaults(), so If() is unnecessary.

2. Will this approach work with Dataverse tables?
Yes. Both Patch() and Coalesce() behave identically in Dataverse. Just replace Contacts with your table name (e.g., Accounts).

3. What if LookUp() returns more than one record?
Ensure your lookup criteria are unique (for example, use a primary key or unique field). Otherwise, LookUp() returns the first match and may lead to unexpected updates.

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