Forum Discussion

HarderT's avatar
HarderT
Helper II
1 year ago
Solved

Error Data Warehouse/Lakehouse

Hey together,   since last week our Data Warehouse connection had errors:   "Message=<ccon>Warning: Fatal error 615 occurred at May 26 2025 8:08AM. Note the error and time, and contact your syste...
Lakehouse
  • Srisakthi's avatar
    Srisakthi
    1 year ago

    Hi HarderT ,

     

    You can utilise Semantic Link Labs to repoint to new lakehouse.

     

    import sempy.fabric as fabric
    from sempy_labs.directlake._get_shared_expression import get_shared_expression
    from sempy_labs._helper_functions import (
        resolve_lakehouse_name,
    )
    from sempy_labs.tom import connect_semantic_model
    from typing import Optional
    import sempy_labs._icons as icons


    def update_direct_lake_model_lakehouse_connection(
        dataset: str,
        workspace: Optional[str] = None,
        lakehouse: Optional[str] = None,
        lakehouse_workspace: Optional[str] = None,
    😞
        """
        Remaps a Direct Lake semantic model's SQL Endpoint connection to a new lakehouse.

        Parameters
        ----------
        dataset : str
            Name of the semantic model.
        workspace : str, default=None
            The Fabric workspace name in which the semantic model exists.
            Defaults to None which resolves to the workspace of the attached lakehouse
            or if no lakehouse attached, resolves to the workspace of the notebook.
        lakehouse : str, default=None
            The Fabric lakehouse used by the Direct Lake semantic model.
            Defaults to None which resolves to the lakehouse attached to the notebook.
        lakehouse_workspace : str, default=None
            The Fabric workspace used by the lakehouse.
            Defaults to None which resolves to the workspace of the attached lakehouse
            or if no lakehouse attached, resolves to the workspace of the notebook.

        Returns
        -------

        """

        workspace = fabric.resolve_workspace_name(workspace)

        if lakehouse_workspace is None:
            lakehouse_workspace = workspace

        if lakehouse is None:
            lakehouse_id = fabric.get_lakehouse_id()
            lakehouse = resolve_lakehouse_name(lakehouse_id, lakehouse_workspace)

        # Check if lakehouse is valid
        dfI = fabric.list_items(workspace=lakehouse_workspace, type="Lakehouse")
        dfI_filt = dfI[(dfI["Display Name"] == lakehouse)]

        if len(dfI_filt) == 0:
            raise ValueError(
                f"{icons.red_dot} The '{lakehouse}' lakehouse does not exist within the '{lakehouse_workspace}' workspace. "
                f"Therefore it cannot be used to support the '{dataset}' semantic model within the '{workspace}' workspace."
            )

        dfP = fabric.list_partitions(dataset=dataset, workspace=workspace)
        dfP_filt = dfP[dfP["Mode"] == "DirectLake"]

        if len(dfP_filt) == 0:
            raise ValueError(
                f"{icons.red_dot} The '{dataset}' semantic model is not in Direct Lake. This function is only applicable to Direct Lake semantic models."
            )
        else:
            with connect_semantic_model(
                dataset=dataset, readonly=False, workspace=workspace
            ) as tom:

                shEx = get_shared_expression(lakehouse, lakehouse_workspace)
                try:
                    tom.model.Expressions["DatabaseQuery"].Expression = shEx
                    print(
                        f"{icons.green_dot} The expression in the '{dataset}' semantic model has been updated to point to the '{lakehouse}' lakehouse in the '{lakehouse_workspace}' workspace."
                    )
                except Exception as e:
                    raise ValueError(
                        f"{icons.red_dot} The expression in the '{dataset}' semantic model was not updated."
                    ) from e
     
    Try the above code. Simalarly you can repoint the reports
     
    Regards,
    Srisakthi
     
    If this helps, please mark is Accept As Solution 
Anonymous's avatar
Anonymous
Not applicable
1 year ago

Hi HarderT,

 

Thank you for reaching out to Microsoft Fabric Community Forum.

 

At this time, there is no option in Fabric to disable or re-enable the SQL endpoint manually, and the issue requires backend support from Microsoft to resolve.

As a temporary workaround, copy your tables to a new Lakehouse using a Spark notebook, which will reinitialize the SQL endpoint properly.

 

Since error 615 is a fatal metadata/page-level error and the SQL endpoint is broken even though data is visible in Lakehouse Explorer, it likely needs backend repair by the Microsoft Fabric team.

Please raise a support ticket with Microsoft, referencing the exact error message and timestamp.
https://learn.microsoft.com/en-us/power-bi/support/create-support-ticket 

 


If this post helps, then please consider Accepting as solution to help the other members find it more quickly, don't forget to give a "Kudos" – I’d truly appreciate it!


Regards,
Vinay Pabbu

Anonymous's avatar
Anonymous
Not applicable
1 year ago

Hi HarderT,

 

As we haven't heard back from you, I hope you have raised a support ticket. At this time we are closing this thread. If you have any further issues, please start a new thread in the community forum, and we are here to assist you. Thankyou for your understanding and continuous support.
Thank you for being part of the Microsoft Fabric Community.

 

Regards,

Vinay Pabbu