As for the problem above it seems to have gone away. While I'm not sure, it felt a bit like I didn't do anything different. Buy instead I'm faced with a much more mundane situation.

Again, I'm here trying to make `databricks-connect` work.

I simply do

```

$ python3 -m venv ~/databricks11

$ . ~/databricks11/bin/activate

$ pip install --upgrade pip

$ pip install --upgrade setuptools

$ pip install databricks-connect==11.3.0b0

$ databricks-connect configure

$ databricks-connect test

```

My `.databricks-connect` looks like

```

{

"host": "https://dbc-****.cloud.databricks.com",

"token": "dapi****",

"cluster_id": "0110-****,

"port": "15001"

}

```

I also have some environment variables, just in case

```

DATABRICKS_ADDRESS=https://dbc-****.cloud.databricks.com

DATABRICKS_API_TOKEN=dapi****

DATABRICKS_CLUSTER_ID=0110-****

DATABRICKS_PORT=15001

```

But I get an error

```

23/02/03 11:47:17 ERROR SparkClientManager: Fail to get the SparkClient

java.util.concurrent.ExecutionException: com.databricks.service.SparkServiceConnectionException: Invalid token

To connect to a Databricks cluster, you must specify an API token.

API Token: The API token used to confirm your identity to Databricks

- Learn more about API tokens here: https://docs.databricks.com/api/latest/authentication.html#generate-a-token

- Get current value: spark.conf.get("spark.databricks.service.token")

- Set via conf: spark.conf.set("spark.databricks.service.token", <your API token>)

- Set via environment variable: export DATABRICKS_API_TOKEN=<your API token>

```