> ## Documentation Index
> Fetch the complete documentation index at: https://docs.activeviam.com/llms.txt
> Use this file to discover all available pages before exploring further.

# atoti_directquery_databricks.ConnectionConfig

### *final class* atoti\_directquery\_databricks.ConnectionConfig

Config to connect to a Databricks database.

### Example

```pycon theme={"languages":{"custom":["/engine/python-sdk/0.9/languages/pycon.tmLanguage.json"]}}
>>> import os
>>> from atoti_directquery_databricks import ConnectionConfig
>>> connection_config = ConnectionConfig(
...     url="jdbc:databricks://"
...     + os.environ["DATABRICKS_SERVER_HOSTNAME"]
...     + "/default;"
...     + "transportMode=http;"
...     + "ssl=1;"
...     + "httpPath="
...     + os.environ["DATABRICKS_HTTP_PATH_SQL_WAREHOUSE"]
...     + ";"
...     + "AuthMech=3;"
...     + "UID=token;",
...     password=os.environ["DATABRICKS_AUTH_TOKEN"],
... )
>>> external_database = session.connect_to_external_database(connection_config)
```

#### auto\_multi\_column\_array\_conversion *: [AutoMultiColumnArrayConversion](./atoti.directquery.array_conversion.auto_multi_column_array_conversion#atoti.AutoMultiColumnArrayConversion) | [None](https://docs.python.org/3/library/constants.html#None)* *= None*

When not `None`, multi-column array conversion will be performed automatically.

#### column\_clustered\_queries *: 'all' | 'feeding'* *= 'feeding'*

Control which queries will use clustering columns.

#### feeding\_query\_timeout *: Duration* *= datetime.timedelta(seconds=3600)*

Timeout for queries performed on the external database during feeding phases.

The feeding phases are:

* the initial load to feed [`aggregate_providers`](./atoti.Cube.aggregate_providers#atoti.Cube.aggregate_providers) and [`hierarchies`](./atoti.Cube.hierarchies#atoti.Cube.hierarchies);
* the refresh operations.

#### feeding\_url *: [str](https://docs.python.org/3/library/stdtypes.html#str) | [None](https://docs.python.org/3/library/constants.html#None)* *= None*

When not `None`, this JDBC connection string will be used instead of [`url`](#atoti_directquery_databricks.ConnectionConfig.url) for the feeding phases.

#### lookup\_mode *: 'allow' | 'warn' | 'deny'* *= 'warn'*

Whether lookup queries on the external database are allowed.

Lookup can be very slow and expensive as the database may not enforce primary keys.

#### max\_sub\_queries *: Annotated\[[int](https://docs.python.org/3/library/functions.html#int), Field(gt=0)]* *= 500*

Maximum number of sub queries performed when splitting a query into multi-step queries.

#### password *: [str](https://docs.python.org/3/library/stdtypes.html#str) | [None](https://docs.python.org/3/library/constants.html#None)* *= None*

The password to connect to the database.

Passing it in this separate attribute prevents it from being logged alongside the connection string.

If `None`, a password is expected to be present in [`url`](#atoti_directquery_databricks.ConnectionConfig.url).

#### query\_timeout *: Duration* *= datetime.timedelta(seconds=300)*

Timeout for queries performed on the external database outside feeding phases.

#### time\_travel *: [Literal](https://docs.python.org/3/library/typing.html#typing.Literal)\[False, 'lax', 'strict']* *= 'strict'*

How to use Databricks’ time travel feature.

Databricks does not support time travel with views, so the options are:

* `False`: tables and views are queried on the latest state of the database.
* `"lax"`: tables are queried with time travel but views are queried without it.
* `"strict"`: tables are queried with time travel and querying a view raises an error.

#### url *: [str](https://docs.python.org/3/library/stdtypes.html#str)*

The JDBC connection string.