Measuring Azure Blob Storage (ABFS) Performance in Databricks: A Comprehensive Guide

<p>Azure Blob Storage (ABFS) is a widely used cloud storage solution for storing unstructured data in Microsoft Azure. In this guide, we will explore how to measure the performance of ABFS when it comes to read and write operations within a Databricks environment. We&rsquo;ll use Python and Databricks Runtime to perform these operations and collect performance statistics.</p> <h1>Prerequisites</h1> <p>Before we dive into the code, make sure you have the following:</p> <ol> <li>A Databricks cluster set up and running.</li> <li>Access to Azure Blob Storage (ABFS) and the necessary credentials, including your Azure account name, container name, mount point name, client ID, client secret, and directory ID.</li> </ol> <h1>Setting Up the ABFS Mount</h1> <p>The first step is to mount your ABFS container to your Databricks cluster. If it&rsquo;s not already mounted, use the following code snippet, replacing the placeholders with your credentials:</p> <p><a href="https://medium.com/@bandarusridhar1/measuring-azure-blob-storage-abfs-performance-in-databricks-a-comprehensive-guide-3de4d8698c5d"><strong>Website</strong></a></p>