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Amazon DynamoDB - The Definitive Guide

You're reading from   Amazon DynamoDB - The Definitive Guide Explore enterprise-ready, serverless NoSQL with predictable, scalable performance

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781803246895
Length 414 pages
Edition 1st Edition
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Author (1):
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Aman Dhingra Aman Dhingra
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Aman Dhingra
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Table of Contents (24) Chapters Close

Preface 1. Part 1:Introduction and Setup
2. Chapter 1: Amazon DynamoDB in Action FREE CHAPTER 3. Chapter 2: The AWS Management Console and SDKs 4. Chapter 3: NoSQL Workbench for DynamoDB 5. Part 2: Core Data Modeling
6. Chapter 4: Simple Key-Value 7. Chapter 5: Moving from a Relational Mindset 8. Chapter 6: Read Consistency, Operations, and Transactions 9. Chapter 7: Vertical Partitioning 10. Chapter 8: Secondary Indexes 11. Part 3: Table Management and Internal Architecture
12. Chapter 9: Capacity Modes and Table Classes 13. Chapter 10: Request Routers, Storage Nodes, and Other Core Components 14. Part 4: Advanced Data Management and Caching
15. Chapter 11: Backup, Restore, and More 16. Chapter 12: Streams and TTL 17. Chapter 13: Global Tables 18. Chapter 14: DynamoDB Accelerator (DAX) and Caching with DynamoDB 19. Part 5: Analytical Use Cases and Migrations
20. Chapter 15: Enhanced Analytical Patterns 21. Chapter 16: Migrations 22. Index 23. Other Books You May Enjoy

AWS Lambda as a stream consumer

AWS Lambda is an event-driven, serverless computing platform that eliminates the need for you to manage servers. It enables you to run custom code for a wide range of applications or backend services, and you’re only charged for the execution time of your code. Lambda also allows you to parallelize the execution of the same function code across multiple simultaneous invocations, each operating independently.

Lambda serves as a common stream consumer for both KDS and DynamoDB Streams. When Lambda functions are configured as stream triggers, the Lambda service regularly polls the respective stream with a predefined, non-configurable frequency. It invokes your function code only when stream events are detected during polling.

Lambda stream triggers provide various configurations and features. For instance, you can set a batch size while specifying how many stream events should accumulate before invoking the Lambda function. This allows you...

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