Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Data Engineering with Databricks Cookbook

You're reading from   Data Engineering with Databricks Cookbook Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake

Arrow left icon
Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781837633357
Length 438 pages
Edition 1st Edition
Arrow right icon
Author (1):
Arrow left icon
Pulkit Chadha Pulkit Chadha
Author Profile Icon Pulkit Chadha
Pulkit Chadha
Arrow right icon
View More author details
Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1 – Working with Apache Spark and Delta Lake FREE CHAPTER
2. Chapter 1: Data Ingestion and Data Extraction with Apache Spark 3. Chapter 2: Data Transformation and Data Manipulation with Apache Spark 4. Chapter 3: Data Management with Delta Lake 5. Chapter 4: Ingesting Streaming Data 6. Chapter 5: Processing Streaming Data 7. Chapter 6: Performance Tuning with Apache Spark 8. Chapter 7: Performance Tuning in Delta Lake 9. Part 2 – Data Engineering Capabilities within Databricks
10. Chapter 8: Orchestration and Scheduling Data Pipeline with Databricks Workflows 11. Chapter 9: Building Data Pipelines with Delta Live Tables 12. Chapter 10: Data Governance with Unity Catalog 13. Chapter 11: Implementing DataOps and DevOps on Databricks 14. Index 15. Other Books You May Enjoy

Running and managing Databricks Workflows

With Databricks Workflows, you can see the current and past runs of any jobs you can access, even if they were started by other tools. Databricks keeps your job runs for up to 60 days. If you want to save them longer, Databricks suggests exporting them before expiration.

In this recipe, you will learn how to use the Databricks UI to see the jobs you can access, the past runs of a job, and the run details.

How to do it...

  1. Go to the workflow: Click on Workflows in the sidebar, then click on a job name in the Name column:
Figure 8.9 – Databricks Workflows list view

Figure 8.9 – Databricks Workflows list view

You will see the Runs tab with two views: matrix and list, as shown:

Figure 8.10 – Job matrix and run list view

Figure 8.10 – Job matrix and run list view

  1. Matrix view: The matrix view shows you the previous runs of the job and its tasks.
    • The Run total duration row shows you how long each run took and what state it was in:
...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image