Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Databricks Certified Associate Developer for Apache Spark Using Python

You're reading from   Databricks Certified Associate Developer for Apache Spark Using Python The ultimate guide to getting certified in Apache Spark using practical examples with Python

Arrow left icon
Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781804619780
Length 274 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Saba Shah Saba Shah
Author Profile Icon Saba Shah
Saba Shah
Arrow right icon
View More author details
Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Exam Overview
2. Chapter 1: Overview of the Certification Guide and Exam FREE CHAPTER 3. Part 2: Introducing Spark
4. Chapter 2: Understanding Apache Spark and Its Applications 5. Chapter 3: Spark Architecture and Transformations 6. Part 3: Spark Operations
7. Chapter 4: Spark DataFrames and their Operations 8. Chapter 5: Advanced Operations and Optimizations in Spark 9. Chapter 6: SQL Queries in Spark 10. Part 4: Spark Applications
11. Chapter 7: Structured Streaming in Spark 12. Chapter 8: Machine Learning with Spark ML 13. Part 5: Mock Papers
14. Chapter 9: Mock Test 1
15. Chapter 10: Mock Test 2
16. Index 17. Other Books You May Enjoy

Advanced techniques in Structured Streaming

There are certain built-in capabilities of Structured Streaming that makes it the default choice for even some batch operations. Instead of architecting things yourself, Structured Streaming handles these properties for you. Some of them are as follows.

Handling fault tolerance

Fault tolerance is crucial in streaming systems to ensure data integrity and reliability. Structured Streaming provides built-in fault tolerance mechanisms to handle failures in both streaming sources and sinks:

  • Source fault tolerance: Structured Streaming ensures end-to-end fault tolerance in sources, by tracking the progress of event time using watermarks and checkpointing the metadata related to the stream. If there are failures, the system can recover and resume processing from the last consistent state.
  • Sink fault tolerance: Fault tolerance in sinks depends on the guarantees provided by the specific sink implementation. Some sinks may inherently...
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 €18.99/month. Cancel anytime