Forum Discussion
Semantic Model Refresh Not Reflecting Latest Lakehouse Data using data pipeline
Hi sumanthkakarla ,
Thanks for reaching out to the Microsoft fabric community forum
Thanks for your prompt response
I wanted to follow up and confirm whether you’ve had the opportunity to review the information provided tayloramy . If you have any questions or need further clarification, please don’t hesitate to reach out.
Looking forward to your response.
Best regards,
Lakshmi.
Hi v-lgarikapat
For us the first solution did not work, i need to work on the messier solution sugges by tayloramy
Will update you tomorrow if the other solution is working as expected.
Hi sumanthkakarla ,
We just wanted to follow up with you to see if you had a chance to work on the solution provided by tayloramy
Thanks,
Lakshmi.
Thank you v-lgarikapat
I'm currently exploring an alternative solution and debating whether to implement that or revert to the PySpark script, which simply triggers the semantic refresh. I initially used that script but later transitioned to the semantic refresh activity, thinking it would be a more robust approach.
However, my semantic model refresh is currently taking over an hour to process 44 million rows. If I end up triggering it twice, I'm not sure this will be a feasible solution from a performance standpoint.
Thanks again, Krishna