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Charline_74's avatar
Charline_74
Resolver I
1 year ago
Solved

Change Default Lakehouse

Hello, In a notebook which is in DEV I use this code to get the ID of the Lakehouse in DEV and the ID of the Workspace DEV : df_Lakehouse = labs.list_lakehouses() lakehouse_row = df_Lakehouses[df_...
data engineering
lakehouse
notebook
  • nilendraFabric's avatar
    nilendraFabric
    1 year ago

    Hi Charline_74 

    To change the default lakehouse in a Microsoft Fabric notebook, you can use the %%configure magic command with the defaultLakehouse parameter. However, the issue in your code is that you're trying to use Python variables directly within the JSON configuration, which isn't possible. Instead, you need to format the JSON string with the variable values.

     

    could you please give this a try :


    df_Lakehouses = labs.list_lakehouses()
    lakehouse_row = df_Lakehouses[df_Lakehouses["Lakehouse Name"] == "Lakehouse"]
    lakehouse_id = lakehouse_row.iloc[0]["Lakehouse ID"]
    workspace_id = spark.conf.get("trident.workspace.id")

    %%configure -f
    {
    "defaultLakehouse": {
    "name": "Lakehouse",
    "id": "%s",
    "workspaceId": "%s"
    }
    }
    """ % (lakehouse_id, workspace_id)


    Please give kudos and mark this as solution if this helps.

    Thanks

ObungiNiels's avatar
ObungiNiels
Resolver III
1 year ago

Hi Charline_74 ,

to add on what nilendraFabric said, using the configure command to overwrite notebook metadata, such as the default lakehouse, will require you to restart the running session. This leads to problem when executing the notebook from a scheduler such as a Data Pipeline. This should be taken into account when relying on this option. 

 

As an alternative to changing the default lakehouse within the same notebook, you could try to use the Fabric API and change the default lakehouse reference from a separate notebook.