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Azure Databricks Cookbook

You're reading from  Azure Databricks Cookbook

Product type Book
Published in Sep 2021
Publisher Packt
ISBN-13 9781789809718
Pages 452 pages
Edition 1st Edition
Languages
Authors (2):
Phani Raj Phani Raj
Profile icon Phani Raj
Vinod Jaiswal Vinod Jaiswal
Profile icon Vinod Jaiswal
View More author details

Table of Contents (12) Chapters

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 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

Looking into the query execution plan

It's important to understand the execution plan and how to view its different stages when the Spark optimizer executes a query using a dataframe or the SparkSQL API.

In this recipe, we will learn how to create a logical and physical plan and the different stages involved. By the end of this recipe, you will have generated an execution plan using the dataframe API or the SparkSQL API and have a fair understanding of the different stages involved.

Getting ready

You can follow along by running the steps in the 3-4.Query Execution Plan notebook in your local cloned repository, which can be found in the Chapter03 folder (https://github.com/PacktPublishing/Azure-Databricks-Cookbook/tree/main/Chapter03).

Upload the csvFiles folder in the Common/Customer folder (https://github.com/PacktPublishing/Azure-Databricks-Cookbook/tree/main/Common/Customer/csvFiles) to your ADLS Gen-2 account. This can be found in the rawdata filesystem, inside...

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