run spark-sql-perf from a notebook

[hillel1]

I am looking to run spark-sql-perf on a databricks cluster I am not sure how to create a session that add spark-sql-perf jar dependencies 

[Kaniz_Fatma]

Hi @hillel1, Certainly! You must add the necessary JAR dependencies to run spark-sql-perf on a Databricks cluster. 

Let’s walk through the steps:

Create a Spark Session:

• In Databricks, you don’t need to create a Spark session explicitly. It’s automatically available in the notebook context. So you can directly use it without creating a new one.

Add JAR Dependencies:

You can add JAR dependencies to your Spark session using the following methods:

 a. Using Configuration:

• When creating the Spark session, you can configure it to include specific JAR files.
• For example, in Python, you can do this:
• Replace /path/to/spark-sql-perf.jar with the actual path to your JAR file.
• If you’re using Databricks Notebooks, you can add JARs directly from the UI.
• Go to the cluster configuration, click “Libraries,” and add your JAR as a library.
• You can also add JARs using SQL commands within your notebook.
• Execute the following SQL command to add a JAR:

Run spark-sql-perf:

• Once the JAR is added, you can use the spark-sql-perf tool in your notebook.
• Write your SQL queries or commands to analyze performance.

Remember to replace /path/to/spark-sql-perf.jar with the actual path to the spark-sql-perf JAR file. 

If you encounter any issues, feel free to ask for further assistance! 😊