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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

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781837633944
Length 798 pages
Edition 2nd Edition
Languages
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Author (1):
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Anghel Leonard Anghel Leonard
Author Profile Icon Anghel Leonard
Anghel Leonard
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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...

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