# Databricks SQL

> For information about how to connect to Databricks Spark Dataframes, see: [Spark Dataframe](/reference/data-source-reference-for-soda-core/spark-dataframe.md#example-contract-spark-databricks)

### Connection configuration reference

Install the following package:

```bash
pip install soda-databricks
```

#### Data source YAML

**Create the config file:**

```shellscript
soda data-source create -f ds_config.yml
```

The data source configuration YAML should look like the following:

{% code title="ds\_config.yml" %}

```yaml
type: databricks
name: my_databricks
connection:
  host: ${env.DATABRICKS_HOST}
  http_path: ${env.DATABRICKS_SQL_HTTP_PATH}
  catalog: ${env.DATABRICKS_CATALOG}
  access_token: ${env.DATABRICKS_SQL_ACCESS_TOKEN}
  ## optional
  # session_configuration: <Optional session configuration dict>
```

{% endcode %}

{% hint style="info" %}
**Hive Metastore is supported**. When the `catalog` is set to `hive_metastore`, Soda will use Hive-compatible queries.
{% endhint %}

#### Connection test

Test the data source connection:

```bash
soda data-source test -ds ds_config.yml
```

<br>

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