Forum Discussion
Refresh Token Expiry
Anonymous Thanks for this and I will take this out on a spin and let u know.
1 question though - Assuming it works, if I am running batchJob.ipynb with the scheduler at nth hour every day, how can I ensure that it runs with the same custom session timeout (e.g. 90 min) everyday? Asked differently, is the same custom session timeout value applies to the notebook on each run and ca different notebooks have different custom session timeout values ?
HI smpa01,
You can open the workspace setting to modify the spark session timeout.
In addition, you can also consider to use high concurrency mode to running your notebook:
Configure high concurrency mode for notebooks - Microsoft Fabric | Microsoft Learn
Regards,
Xiaoxin Sheng
please give me few days to test it out.
Anonymous if the notebook is run on a schedule, the token expiry still happens. But if I run the notebook is run from while inside it, then the token does not expire.
I want to run the notebook on a schedule.