Create and Run Spark Job in Databricks with examples
Category : Microsoft Azure Data Engineering
| Sub Category : Databricks | By Prasad Bonam Last updated: 2023-09-23 11:48:56
Viewed : 80
Creating and running a Spark job in Databricks involves using a Databricks notebook to write Spark code and then submitting that notebook as a job for execution.
Here is a step-by-step guide with examples:
Step 1: Create a Databricks Notebook
Log in to your Databricks workspace.
Click on "Workspace" in the left sidebar.
Select the folder where you want to create a new notebook.
Click "Create" and choose "Notebook."
Give your notebook a name and select the default language (e.g., Python, Scala, or R).
Step 2: Write Your Spark Code in the Notebook
For this example, lets create a simple Spark job that reads a CSV file, performs some data manipulation, and writes the results to a new CSV file.