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Hands-On Data Structures and Algorithms with Rust

You're reading from   Hands-On Data Structures and Algorithms with Rust Learn programming techniques to build effective, maintainable, and readable code in Rust 2018

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788995528
Length 316 pages
Edition 1st Edition
Languages
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Author (1):
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Claus Matzinger Claus Matzinger
Author Profile Icon Claus Matzinger
Claus Matzinger
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Table of Contents (15) Chapters Close

Preface 1. Hello Rust! FREE CHAPTER 2. Cargo and Crates 3. Storing Efficiently 4. Lists, Lists, and More Lists 5. Robust Trees 6. Exploring Maps and Sets 7. Collections in Rust 8. Algorithm Evaluation 9. Ordering Things 10. Finding Stuff 11. Random and Combinatorial 12. Algorithms of the Standard Library 13. Assessments 14. Other Books You May Enjoy

Static and dynamic libraries

Generally, Rust dependencies have two types of linking:

  • Static: Via the rlib format.
  • Dynamic: Via shared libraries (.so or .dll).

The preference—if a corresponding rlib can be found—is to link statically and therefore include all dependencies into the output binary, making the file a lot larger (to the dismay of embedded programmers). Therefore, if multiple Rust programs use the same dependency, each comes with its own built-in version. It's all about the context though, since, as Go's success has shown, static linking can simplify complex deployments since only a single file has to be rolled out.

There are drawbacks to the static linking approach beyond size: for static libraries, all dependencies have to be of the rlib type, which is Rust's native package format, and cannot contain a dynamic library since the formats (for example, .so (dynamic) and .a (static) on ELF systems) aren't convertible.

For Rust, dynamic linking...

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