Book Image

Azure Databricks Cookbook

By : Phani Raj, Vinod Jaiswal
Book Image

Azure Databricks Cookbook

By: Phani Raj, Vinod Jaiswal

Overview of this book

Azure Databricks is a unified collaborative platform for performing scalable analytics in an interactive environment. The Azure Databricks Cookbook provides recipes to get hands-on with the analytics process, including ingesting data from various batch and streaming sources and building a modern data warehouse. The book starts by teaching you how to create an Azure Databricks instance within the Azure portal, Azure CLI, and ARM templates. You’ll work through clusters in Databricks and explore recipes for ingesting data from sources, including files, databases, and streaming sources such as Apache Kafka and EventHub. The book will help you explore all the features supported by Azure Databricks for building powerful end-to-end data pipelines. You'll also find out how to build a modern data warehouse by using Delta tables and Azure Synapse Analytics. Later, you’ll learn how to write ad hoc queries and extract meaningful insights from the data lake by creating visualizations and dashboards with Databricks SQL. Finally, you'll deploy and productionize a data pipeline as well as deploy notebooks and Azure Databricks service using continuous integration and continuous delivery (CI/CD). By the end of this Azure book, you'll be able to use Azure Databricks to streamline different processes involved in building data-driven apps.
Table of Contents (12 chapters)

Checking the execution details of all the executed Spark queries via the Spark UI

In this recipe, you will learn how to view the statuses of all the running applications in your cluster. You will also look at various tasks you can use to identify if there are any issues with a specific application/query. Knowing this is useful as you will get holistic information about how your cluster is utilized in terms of tasks distribution and how your applications are running.

Getting ready

Execute the queries shown in the Introduction to jobs, stages, and tasks recipe of this chapter. You can either use a Spark 2.x (latest version) or Spark 3.x cluster.

How to do it…

Follow these steps to learn about the running applications/queries in your cluster:

  1. When you are in your Databricks workspace, click on the Clusters option and then on the cluster that you are using. Then, click on the Spark UI tab, as shown in the following screenshot:

    Figure 3.10 – Spark UI screen...