Forum Discussion

Bhargava05's avatar
Bhargava05
Resolver II
11 months ago
Solved

Cluster Startup Time in Fabric Notebook Varies Across Workspaces Despite Shared Capacity

Hi Fabric Community,

I’ve noticed something curious in my Microsoft Fabric environment and wanted to get insights or confirmation from others who might have experienced the same.

I have multiple workspaces in Fabric, and each of them contains notebooks. All these workspaces are tagged to the same capacity, yet I’m seeing different cluster startup times when running notebooks across them.

For example, a notebook in Workspace A starts up noticeably faster than a similar one in Workspace B, even though both are under the same capacity and have similar workloads. I’ve ruled out obvious differences like notebook complexity or library dependencies.

So my question is:
Why would cluster startup times vary across workspaces that share the same capacity?

 

Would love to hear from others who’ve seen this or have insights into how Fabric handles cluster provisioning across shared capacity environments.

 

Thanks in advance!

data engineering
environment
notebook
  • tayloramy's avatar
    tayloramy
    11 months ago

    Hi Bhargava05, 

     

    How much varience are you seeing in start up times? 
    I also seem some varience, but usually not much. All my sessions usually start in under a minute.  

     

    Some of the things that impact it are if the resources are warm or cold, whether you've set custom spark pools or are using the starter pool, and how many other spark sessions you have running in the background or for other processes. 

     

    If you found this helpful, consider giving some Kudos. If I answered your question or solved your problem, mark this post as the solution.

6 Replies

  • tayloramy's avatar
    tayloramy
    Super User
    11 months ago

    Hi Bhargava05, 

     

    How much varience are you seeing in start up times? 
    I also seem some varience, but usually not much. All my sessions usually start in under a minute.  

     

    Some of the things that impact it are if the resources are warm or cold, whether you've set custom spark pools or are using the starter pool, and how many other spark sessions you have running in the background or for other processes. 

     

    If you found this helpful, consider giving some Kudos. If I answered your question or solved your problem, mark this post as the solution.

  • v-saisrao-msft's avatar
    v-saisrao-msft
    Community Support
    11 months ago

    Hi Bhargava05,

    We haven’t heard back from you in a while regarding your issue. let us know if your issue has been resolved or if you still require support.

     

    Thank you.