Databricks

Type of Support:	Read & Write; In-Database
Validated On:	Databricks version 2.18; Simba Spark Driver 1.00.09
Connection Type:	ODBC (32- and 64-bit)
Driver Details:	The ODBC driver can be downloaded here. In-Database processing requires 64-bit database drivers.
Driver Configuration Requirements:	The host must be a Databricks cluster JDBC/ODBC Server hostname. For optimal performance, you must enable the Fast SQLPrepare option within the driver Advanced Options to allow Alteryx to retrieve metadata without running a query. To use Visual Query Builder, select the Get Tables With Query option within the driver Advanced Options.

Alteryx tools used to connect

Input Data Tool (For standard workflow processing)
Connect In-DB Tool and Data Stream In Tool (For In-Database workflow processing).

Additional Details

If you have issues with reading or writing Unicode characters, select the âUse SQL Unicode Typesâ option within the Simba Impala ODBC driver Advanced Options.

Read Support

Install and configure the Spark ODBC driver:

Spark Server Type: Select the appropriate server type for the version of Spark that you are running. If you are running Spark 1.1 and later, then select SparkThriftServer.
Authentication Mechanism: See the installation guide downloaded with the Simba Spark driver to configure this setting based on your setup.

To set up the driver Advanced Options, see the installation guide downloaded with the Simba Spark driver.

Write Support

For both standard and in-database workflows, use the Data Stream In Tool to write to Databricks. Write support is via the Databricks Bulk Loader.

In the Manage In-DB Connections > Write tab:

Select Databricks Bulk Loader (Avro) or Databricks Bulk Loader (CSV).

To write a table with field names that total more than 4000 characters, use CSV instead of Avro.

Select the Connection String drop-down, and then select New Databricks connection.
Select an existing ODBC data source, or click ODBC Admin to create one.
Specify a user name and password. These fields cannot be blank.
Specify the Databricks URL

https://abc-abc123-123a.cloud.databricks.com