💡 Challenge
SharePoint OData filtering is case-insensitive, leading to inaccurate results when exact letter casing matters.
✅ Solution
First use an OData filter for performance, then apply a case-sensitive Filter array action to refine the data.
🔧 How It’s Done
Here’s how to do it:
- Apply OData filtering in your SharePoint query for an initial selection.
🔸 Use a filter expression (e.g.,Title eq 'Value'
)
🔸 Quickly reduces the dataset before further processing - Add a Filter array action to the flow.
🔸 Configure it to match items with exact casing
🔸 Use an expression likeequals(item()?['Field'], 'Value')
🎉 Result
You get fast initial filtering with OData and precise, case-sensitive verification with Filter array, ensuring accurate data retrieval.
🌟 Key Advantages
🔸 Fast initial queries with OData
🔸 Precise case-sensitive validation
🔸 Combined efficiency and accuracy
🎥 Video Tutorial
🛠️ FAQ
1. Why is OData filtering case-insensitive?
SharePoint’s OData endpoint applies string comparisons without distinguishing letter casing.
2. Can I perform case-sensitive filtering directly in OData?
No, SharePoint OData does not support native case-sensitive comparisons in the query.
3. Does using Filter array impact performance?
When used after OData pre-filtering, Filter array processes a smaller set in-memory, maintaining good performance.
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