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
Hands-On JavaScript High Performance

You're reading from   Hands-On JavaScript High Performance Build faster web apps using Node.js, Svelte.js, and WebAssembly

Arrow left icon
Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781838821098
Length 376 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Justin Scherer Justin Scherer
Author Profile Icon Justin Scherer
Justin Scherer
Arrow right icon
View More author details
Toc

Table of Contents (15) Chapters Close

Preface 1. Tools for High Performance on the Web 2. Immutability versus Mutability - The Balance between Safety and Speed FREE CHAPTER 3. Vanilla Land - Looking at the Modern Web 4. Practical Example - A Look at Svelte and Being Vanilla 5. Switching Contexts - No DOM, Different Vanilla 6. Message Passing - Learning about the Different Types 7. Streams - Understanding Streams and Non-Blocking I/O 8. Data Formats - Looking at Different Data Types Other Than JSON 9. Practical Example - Building a Static Server 10. Workers - Learning about Dedicated and Shared Workers 11. Service Workers - Caching and Making Things Faster 12. Building and Deploying a Full Web Application 13. WebAssembly - A Brief Look into Native Code on the Web 14. Other Books You May Enjoy

Sending binary data in the browser

While message passing is a great way to send data, there are some problems when it comes to sending very large objects across the channel. For instance, let's say we have a dedicated worker that makes requests on our behalf and also adds some data to the worker from a cache. It could potentially have thousands of records. While the worker would already be taking up quite a bit of memory, as soon as we utilize postMessage we will see two things:

  • The amount of time it takes to move the object is going to be long
  • Our memory is going to increase dramatically

The reason for this is the structured clone algorithm that browsers use to send the data. Essentially, instead of just moving the data across the channel, it is going to serialize and deserialize our object, essentially creating multiple copies of it. On top of this, we have no idea when...

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