Forum Discussion

odtJitendra's avatar
odtJitendra
Regular Visitor
18 days ago

Lakehouse Data Not Reflected via SQL Analytics Endpoint - Solution 1

Problem Description Every Fabric Lakehouse automatically provisions a SQL Analytics Endpoint (SAE) that allows the data written into Delta tables to be queried using T-SQL. In our pipelines, we writ...
data engineering
v-aatheeque's avatar
v-aatheeque
Community Support
18 days ago

Hi odtJitendra 

Yes, this behavior has been observed by multiple users. The SQL Analytics Endpoint (SAE) does not always synchronize immediately after data is written into a Lakehouse. Even though the upstream write activity completes successfully, there can be a short delay before newly added rows, schema changes, or metadata updates are reflected in the SAE. As a result, downstream T‑SQL operations may occasionally read stale data or miss schema changes if they execute right after the write.


Your workaround of triggering an explicit SQL Analytics Endpoint metadata refresh and waiting for the synchronization to complete before running the downstream activity is a valid approach. Alternatively, adding a retry mechanism or a short delay before querying the endpoint can also help mitigate the issue.

 

If this behavior continues to impact your production workloads despite these workarounds, it's recommended to open a Microsoft Fabric Support and Status | Microsoft Fabric  so the Fabric team can investigate whether the synchronization delay is longer than expected for your environment.

 

Useful Links : SQL Analytics Endpoint Metadata Sync - Microsoft Fabric | Microsoft Learn