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 06:18:56 Viewed : 268

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

1. Log in to your Databricks workspace.

2. Click on "Workspace" in the left sidebar.

3. Select the folder where you want to create a new notebook.

4. Click "Create" and choose "Notebook."

5. Give your notebook a name and select the default language (e.g., Python, Scala, or R).

6. Click "Create."

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.