Fabric Notebook known limitation

This document outlines the known limitations of Fabric notebooks to help you understand the constraints and optimize your notebook usage effectively and avoid common issues.

Notebook sizing

• Notebook content size is limited to 32 MB.
• The notebook snapshot size is limited to 32 MB.
• Rich dataframe table output is limited to 10K rows and 5 MB data size.
• The maximum Resource storages for both built-in folder and environment folder are 500 MB, with a single file size up to 100 MB.

Output table

• Rich dataframe table view is limited to 10K rows or 5 MB.

Other specific limitations

• 256 code cells could be executed for each notebook at most.
• 7 days is the longest running job time.
• The upper limit for notebook activities or concurrent notebooks in notebookutils.notebook.runMultiple() is 50.
• The statement depth for %run is up to 5, with a total of 1000 referenced cells.
• Notebook job history is retained for 60 days.
• To personalize your Spark session in %%configure, set the same value for "DriverMemory" and "ExecutorMemory". The "driverCores" and "executorCores" values should also be the same. Choose an executor size from the following options: (4, 28g), (8, 56g), (16, 112g), (32, 224g) or (64, 400g). Furthermore, use this formula to make sure capacity stays within limits: (NumExecutors + 1) * ExecutorCores.