Question 1

How does SmoothieMap compare to HashMap in terms of performance?

Accepted Answer

SmoothieMap offers lower memory usage and eliminates rehash latency spikes, making it better for latency-sensitive apps, but HashMap might have higher raw throughput for general-purpose use. It's ideal where predictable performance is critical.

Question 2

Is SmoothieMap thread-safe for concurrent applications?

Accepted Answer

No, SmoothieMap does not support concurrent modifications out of the box. You need to add external synchronization or use it in single-threaded contexts, unlike ConcurrentHashMap which has built-in thread safety.

Question 3

How to integrate SmoothieMap into a Maven project?

Accepted Answer

Add the dependency with groupId io.timeandspace and artifactId smoothie-map in your pom.xml, then instantiate it using SmoothieMap.newBuilder().build() as shown in the README. Check Javadocs for advanced configuration.

Question 4

What are the memory savings with SmoothieMap vs other maps?

Accepted Answer

SmoothieMap consumes less memory than HashMap due to its extendible hashing with mini segments, but exact savings depend on dataset size and usage patterns. It's optimized for minimal footprint in high-performance scenarios.

Question 5

Can SmoothieMap handle null keys or values like HashMap?

Accepted Answer

The README doesn't specify null handling; since it implements the Map interface, it likely follows standard conventions, but consult Javadocs for specifics as it might have limitations in niche implementations.

Question 6

SmoothieMap or ConcurrentHashMap for high-throughput systems?

Accepted Answer

Choose SmoothieMap if predictable latency and low memory are priorities, but opt for ConcurrentHashMap if you need built-in concurrency support. SmoothieMap excels in latency-critical, memory-constrained environments.

SmoothieMap

What is SmoothieMap?

Overview

Use Cases

Best For

Related Projects

Found a gem we're missing?

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions