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Java Coding Problems - Second Edition

You're reading from  Java Coding Problems - Second Edition

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781837633944
Pages 798 pages
Edition 2nd Edition
Languages
Author (1):
Anghel Leonard Anghel Leonard
Profile icon Anghel Leonard

Table of Contents (16) Chapters

Preface 1. Text Blocks, Locales, Numbers, and Math 2. Objects, Immutability, Switch Expressions, and Pattern Matching 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

34. Filling a long array with pseudo-random numbers

When we want to fill up a large array with data, we can consider the Arrays.setAll() and Arrays.parallelSetAll(). These methods can fill up an array by applying a generator function to compute each element of the array.

Since we have to fill up the array with pseudo-random data, we should consider that the generator function should be a pseudo-random generator. If we want to do this in parallel, then we should consider the SplittableRandom (JDK 8+)/SplittableGenerator (JDK 17+), which are dedicated to generating pseudo-random numbers in isolated parallel computations. In conclusion, the code may look as follows (JDK 17+):

SplittableGenerator splittableRndL64X256 
  = RandomGeneratorFactory
     .<SplittableGenerator>of("L64X256MixRandom").create();
long[] arr = new long[100_000_000];
Arrays.parallelSetAll(arr, 
                      x ->splittableRndL64X256.nextLong());

Alternatively, we can use SplittableRandom...

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