Apache Spark on Databricks

Connect to Apache Spark by dragging a Connect In-DB tool or the Apache Spark Code tool onto the canvas. Create a new connection to Databricks using the Apache Spark on Databricks driver. Use the instructions below to configure the connection. See Databricks documentation for more information.

To connect to Databricks and create an Alteryx connection string...

1. Enter your Databricks Account ID.
2. Paste the Databricks Token you generated in your Databricks user settings. Tokens can expire and be revoked.
3. Select Connect. Designer displays a list of Databricks clusters to connect to. If the connection is not successful, try entering your credentials again.
4. Select a Databricks Cluster to connect to.
5. Select a Session Type. Select one of these, depending on the code you are writing:
   • Scala
   • Python
   • R
6. Optionally, enter a descriptive Run name for the job so that you can identify it later. Run names help users distinguish one job from another on the server. The name defaults to Untitled if left blank.
7. Set the Timeout in number of minutes. This is the number of minutes of non-activity before the job stops. If you enter 15 minutes, the job can sit idle without any activity for 15 minutes before it times out. See Databricks documentation for more information.
8. Add Libraries in addition to the set of libraries that is already provided to write your own code.

   File Type	Description
   jar	Java ARchive
   egg	Single-file importable distribution format for Python-related projects.
   PyPi	Python Package Index is a repository of software for Python.
   Maven	A repository for files and artifacts.
   CRAN	R File Package

   Select the "+" icon to add a row. Select Save to save the library configuration settings to a file. Use the File folder icon to locate a saved configuration file. To delete a row, hover over it and then select the trash icon.

9. In Databricks Connection, select OK.
10. In Manage In-DB Connections, select OK to create an Alteryx connection string.