I have a notebook that runs many notebooks in order, along the lines of:

```

%python

notebook_list = ['Notebook1', 'Notebook2']

for notebook in notebook_list:

  print(f"Now on Notebook: {notebook}")

  try:

    dbutils.notebook.run(f'{notebook}', 3600)

  except Exception as e:

    print(e)

    pass

```

When I run this notebook, I get job aborted exceptions amounting to the following:

```

Exceptions:

(1): Task failed while writing rows,

(2): Failed to execute user defined function (SQLDriverLocal$$$Lambda$1707/462935920: (string) => string)

(3): No input widget named effective_dating is defined

```

For #2 -- I have no user defined functions; I only use Spark functions.

However, if I run `Notebook1` or `Notebook2` (Run all button) individually, they run as expected.

To make matters more intriguing, if I run the loop above for the *second* time, each notebook will run fine; but **only after** I run each individually.

I would like to have a single notebook that runs many notebooks, rather than setup a pipeline to run each individual notebook on its own.

Running the notebooks as a Workflow/Job also returns the same issue.