Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

View all the Fabric Data Days sessions on demand. View schedule

Reply
Sureshmannem
Frequent Visitor

Support - How to pass pipeline parameter values to Notebook (pyspark(python))

Hi Team,

 

We have a requirement to use pipeline parameters into notebook at the end of the pipelien execution.

I tried passing parameters using below approaches, it is not passing the values and resulting to pipeline failure. kindly suggest any working solution to pass pipeline parameters into Notebook (pyspark (python))

#1

file_category = mssparkutils.env.get_parameter("file_category")

copy_counts = mssparkutils.env.get_parameter("copy_counts")

#2
file_category = os.environ.get("file_category")
copy_counts = os.environ.get("copy_counts")
 
Thanks in advance
1 ACCEPTED SOLUTION
Gpop13
Advocate IV
Advocate IV

hi @Sureshmannem ,

Can you not set the base parameters of the notebooks with the pipeline variables something like below

 

Gpop13_0-1751290921240.png

and then in the notebook you can directly use those variables

 

View solution in original post

2 REPLIES 2
Gpop13
Advocate IV
Advocate IV

hi @Sureshmannem ,

Can you not set the base parameters of the notebooks with the pipeline variables something like below

 

Gpop13_0-1751290921240.png

and then in the notebook you can directly use those variables

 

Hi @Gpop13 

 

Thanks for your prompt support!
I realized I was overengineering the solution. I’ve now used the parameters directly in the notebook, and it works as expected.

 

Helpful resources

Announcements
November Fabric Update Carousel

Fabric Monthly Update - November 2025

Check out the November 2025 Fabric update to learn about new features.

Fabric Data Days Carousel

Fabric Data Days

Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.

Top Kudoed Authors