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
Java Coding Problems

You're reading from   Java Coding Problems Become an expert Java programmer by solving over 250 brand-new, modern, real-world problems

Arrow left icon
Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781837633944
Length 798 pages
Edition 2nd Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Anghel Leonard Anghel Leonard
Author Profile Icon Anghel Leonard
Anghel Leonard
Arrow right icon
View More author details
Toc

Table of Contents (16) Chapters Close

Preface 1. Text Blocks, Locales, Numbers, and Math 2. Objects, Immutability, Switch Expressions, and Pattern Matching FREE CHAPTER 3. Working with Date and Time 4. Records and Record Patterns 5. Arrays, Collections, and Data Structures 6. Java I/O: Context-Specific Deserialization Filters 7. Foreign (Function) Memory API 8. Sealed and Hidden Classes 9. Functional Style Programming – Extending APIs 10. Concurrency – Virtual Threads and Structured Concurrency 11. Concurrency ‒ Virtual Threads and Structured Concurrency: Diving Deeper 12. Garbage Collectors and Dynamic CDS Archives 13. Socket API and Simple Web Server 14. Other Books You May Enjoy
15. Index

117. Handling map capacity

Let’s assume that we need a List capable of holding 260 items. We can do it as follows:

List<String> list = new ArrayList<>(260);

The array underlying ArrayList is created directly to accommodate 260 items. In other words, we can insert 260 items without worrying about resizing or enlarging the list several times in order to hold these 260 items.

Following this logic, we can reproduce it for a map as well:

Map<Integer, String> map = new HashMap<>(260);

So, now we can assume that we have a map capable of accommodating 260 mappings. Actually, no, this assumption is not true! A HashMap works on the hashing principle and is initialized with an initial capacity (16 if no explicit initial capacity is provided) representing the number of internal buckets and a default load factor of 0.75. What does that mean? It means that when a HashMap reaches 75% of its current capacity, it is doubled in size and a rehashing...

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