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Hello,
I have observed a change in behavior regarding collation when querying Lakehouse tables from a Warehouse.
Earlier :
When joining columns from a Lakehouse table with a Warehouse table, I had to explicitly specify COLLATE DATABASE_DEFAULT to avoid collation mismatch errors. For example:
SELECT k.[address] COLLATE DATABASE_DEFAULT
FROM Lakehouse.dbo.employee k
JOIN dbo.master m ON k.[name] COLLATE DATABASE_DEFAULT = m.[fullname]
Recently, I noticed that in similar queries involving joins between lakehouse and warehouse tables, I am no longer receiving collation related errors,even without explicitly using COLLATE DATABASE_DEFAULT.
Has there been a recent update or fix that addresses collation mismatches between Lakehouse and Warehouse tables?
Any official clarification or documentation on this change would be greatly appreciated.
Solved! Go to Solution.
Looks like the last Collation update came in Aug 2025 - might your case be related to this?
Hope this helps - please appreciate by leaving a Kudos or marking it as a Solution!
Hi @FabricUser_5037 as indicated by @deborshi_nag it seems the change you observed is due to August 2025 introduction of workspace-level collation settings for Fabric Data Warehouse, and tied all warehouses and all SQL analytics endpoints to that workspace collation, furthgermore, new warehouses and all SQL analytics endpoints are configured based on the workspace’s Data Warehouse default collation.
Because a Lakehouse SQL analytics endpoint is just another SQL analytics endpoint backed by OneLake, that means that any lakehouse-to-warehouse joins created after that change, the collations match out-of-the-box 😁🤞 and your old pattern now work even without the COLLATE DATABASE_DEFAULT clauses as you observed.
In summary and to answer the questions:
#1. Has there been a recent update or fix that addresses collation mismatches between Lakehouse and Warehouse tables? Yes, from Microsoft Fabric Updates Blog article published August 5 🔗 2025 https://blog.fabric.microsoft.com/en-us/blog/streamlining-data-management-with-collation-settings-in...
#2. is COLLATE DATABASE_DEFAULT still required? Not required anymore if both sides of the join now share the same collation, but still useful / required in mixed-collation scenario
Hope this further clarifies your question, great if you mark this as the answer to your question, a kudos would be nice to ... best of lucks mate, cheers!
Hi @FabricUser_5037 as indicated by @deborshi_nag it seems the change you observed is due to August 2025 introduction of workspace-level collation settings for Fabric Data Warehouse, and tied all warehouses and all SQL analytics endpoints to that workspace collation, furthgermore, new warehouses and all SQL analytics endpoints are configured based on the workspace’s Data Warehouse default collation.
Because a Lakehouse SQL analytics endpoint is just another SQL analytics endpoint backed by OneLake, that means that any lakehouse-to-warehouse joins created after that change, the collations match out-of-the-box 😁🤞 and your old pattern now work even without the COLLATE DATABASE_DEFAULT clauses as you observed.
In summary and to answer the questions:
#1. Has there been a recent update or fix that addresses collation mismatches between Lakehouse and Warehouse tables? Yes, from Microsoft Fabric Updates Blog article published August 5 🔗 2025 https://blog.fabric.microsoft.com/en-us/blog/streamlining-data-management-with-collation-settings-in...
#2. is COLLATE DATABASE_DEFAULT still required? Not required anymore if both sides of the join now share the same collation, but still useful / required in mixed-collation scenario
Hope this further clarifies your question, great if you mark this as the answer to your question, a kudos would be nice to ... best of lucks mate, cheers!
Looks like the last Collation update came in Aug 2025 - might your case be related to this?
Hope this helps - please appreciate by leaving a Kudos or marking it as a Solution!