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

  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.

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