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Azure Databricks Cookbook

You're reading from   Azure Databricks Cookbook Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service

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Product type Paperback
Published in Sep 2021
Publisher Packt
ISBN-13 9781789809718
Length 452 pages
Edition 1st Edition
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Authors (2):
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Vinod Jaiswal Vinod Jaiswal
Author Profile Icon Vinod Jaiswal
Vinod Jaiswal
Phani Raj Phani Raj
Author Profile Icon Phani Raj
Phani Raj
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Toc

Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Creating an Azure Databricks Service 2. Chapter 2: Reading and Writing Data from and to Various Azure Services and File Formats FREE CHAPTER 3. Chapter 3: Understanding Spark Query Execution 4. Chapter 4: Working with Streaming Data 5. Chapter 5: Integrating with Azure Key Vault, App Configuration, and Log Analytics 6. Chapter 6: Exploring Delta Lake in Azure Databricks 7. Chapter 7: Implementing Near-Real-Time Analytics and Building a Modern Data Warehouse 8. Chapter 8: Databricks SQL 9. Chapter 9: DevOps Integrations and Implementing CI/CD for Azure Databricks 10. Chapter 10: Understanding Security and Monitoring in Azure Databricks 11. Other Books You May Enjoy

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...

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