Data Structures in Rust

This book goes beyond theory. It shows you how data structures actually behave in real systems-and how to implement them idiomatically in Rust while leveraging the language's powerful ownership model, lifetimes, and zero-cost abstractions.

You'll explore classic and modern data structures through clean, well-tested Rust implementations, then put them to the test with rigorous benchmarks that reveal real-world performance trade-offs. Along the way, you'll learn when to rely on Rust's standard library, when to roll your own, and how to make decisions that scale in production environments.

• Rust-first approach: Every concept is grounded in Rust's type system, memory safety guarantees, and concurrency model

• Practical implementations: Linked lists, trees, hash maps, graphs, heaps, and more-built step by step

• Benchmark-driven insight: Measure cache behavior, allocation patterns, and algorithmic trade-offs using real data

• Production tactics: Learn how to choose, tune, and evolve data structures in high-performance, real-world systems

• Battle-tested patterns: Error handling, API design, ownership strategies, and performance profiling

• Rust developers who want to master performance-critical code

• Systems programmers moving from C/C++ to Rust

• Backend and infrastructure engineers building reliable, high-throughput services

• Advanced learners who want to understand why data structures perform the way they do in practice

By the end of this book, you won't just know data structures-you'll know how to design, benchmark, and deploy them confidently in Rust, making informed trade-offs that hold up under real production workloads.