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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

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781837633357
Length 438 pages
Edition 1st Edition
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Author (1):
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Pulkit Chadha Pulkit Chadha
Author Profile Icon Pulkit Chadha
Pulkit Chadha
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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:
...
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