Forum Discussion
Memorable MemberLAKEHOUSE I/O WRITE DELAY MITIGATION
Hi Element115
Thank you once again for your continued engagement and for raising these important points.
I apologize for the delayed response. It is entirely reasonable to expect a high level of quality, stability, and trust from any generally available (GA) product. Although Microsoft Fabric has been in GA since 2023, it is common for certain scenarios or edge cases to surface only after wider adoption.your feedback highlights a critical area for improvement. Since you have already submitted your idea, I have upvoted it as well. With increased visibility and community support, it has a better chance of being prioritized for review by the relevant product teams. Microsoft will continue to evaluate and enhance the platform to meet the stability and experience that users rightfully expect.
If you Accept this post, it will be helpful for others to find more easily and will address these kinds of issues and resolve them soon.
Regards,
Karpurapu D,
Microsoft Fabric – Community Support Team.
Community SupportHi Element115
Thank you for highlighting the issue of Lakehouse I/O write synchronization within Fabric pipelines.
This is a valid and recurring concern, particularly regarding the delay between a write operation to a Lakehouse and the availability of that data for subsequent pipeline activities, especially when new tables are created or data is freshly ingested.
This lag can lead to premature downstream operations encountering errors due to the Lakehouse not yet reflecting the committed data or table, resulting in failed executions or the need to manually insert delay mechanisms.
Your suggestions to improve this behavior by introducing:
- An optional wait flag within the Copy Data activity to await confirmation of data commit before proceeding,
or - A dedicated "Wait for I/O Commit" activity that explicitly pauses pipeline execution until the lakehouse signals readiness,
Both suggestions are simple, and user-friendly enhancements that would significantly improve pipeline reliability and usability, particularly for users less familiar with configuring retry logic or API polling workarounds.
we encourage other community members to upvote your idea on theLAKEHOUSE I/O WRITE DELAY MITIGATION - Microsoft Fabric Community to bring further visibility to this matter.
Once again, thank you for your valuable input and for driving constructive suggestions that help improve the community forum for all users.
Best regards,
Karpurapud.
Microsoft Community Support.
Memorable MemberHere is a workaround originally shared by Mark Pryce-Maher, the
Microsoft PM responsible for the synchronisation between lakehouse and SQL endpoint. As he says: "the following solution is unofficial, unsupported, undocumented, and frankly unwise!"
However, I would not call this a solution since it is unofficial, unsupported, undocumented, and unwise. Anything that is unofficial, unsupported, undocumented, is precisely unwise because it could change at any time without any notice to the user, who will be much bewildered when stuff suddenly breaks for no apparent reason.
Mark's original Python code: Workaround for delays in the automatically generated schema in the SQL analytics endpoint of the Lakehouse in Fabric | by Mark Pryce-Maher | Medium
An improved version of this code by Andre Fomin: Fix SQL Analytics Endpoint Sync Issues in Microsoft Fabric – Data Not Showing? Here's the Solution! — obvience
For now, this Python script seems to work and the problem I had due to the sync issue has not manifested itself... yet.
- v-karpurapud
Hi Element115
Thanks for the update and sorry for the inconvenience. We are pleased to hear that you have found a workaround but You're absolutely right in highlighting the inherent risks of relying on unofficial, unsupported, and undocumented solutions. Hope your issue gets resolved soon by your idea (in ideas forum) getting implemented.
Thank you.
- Element115
v-karpurapud It is Microsoft's own Product Manager that highlights the inherent risks and drawbacks of such an approach. Therefore there is no ambiguity here or a way to weasel out of the fact that we do not have a solution that can be trusted 100% because long term proper testing has NOT been performed yet. A polite way of saying: What a sorry state of affairs this all is.
- v-karpurapud
Hi Element115
At Microsoft, we understand the importance of trust, reliability, and long-term stability for our customers. It is essential that any approach, particularly those involving emerging technologies or new solutions, undergoes thorough testing over time. Although no system can be deemed 100% infallible, especially in its early stages, continuous improvements are made based on customer feedback, extensive internal evaluations, and evolving industry standards.
Thank You!