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@@ -4,7 +4,7 @@ A Rust implementation of the SprayList data structure - a scalable concurrent pr
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## Overview
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SprayList is a concurrent data structure designed to address the scalability bottleneck in traditional priority queues. Based on the paper ["The SprayList: A Scalable Relaxed Priority Queue"](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/SprayList_full.pdf) by Alistarh et al., it provides high-performance concurrent access at the cost of relaxed ordering guarantees.
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SprayList is a concurrent data structure designed to address the scalability bottleneck in traditional priority queues. Based on the paper ["The SprayList: A Scalable Relaxed Priority Queue"](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/SprayList_full.pdf) by Alistarh, Kopinsky and Li, it provides high-performance concurrent access at the cost of relaxed ordering guarantees.
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### Key Features
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-**Relaxed ordering**: DeleteMin returns an element among the first O(p log³ p) elements
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-**Thread-safe**: Supports concurrent insert and delete operations
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## High-Concurrency Priority Queue Applications
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SprayList is particularly well-suited for applications that need high-throughput priority queue operations under concurrent access patterns. Traditional priority queues become bottlenecks in multi-threaded environments, but SprayList's relaxed ordering enables exceptional scalability.
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### When to Use SprayList
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**Ideal Use Cases:**
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-**Task scheduling systems** where approximate priority ordering is acceptable
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-**Event simulation engines** processing thousands of concurrent events
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-**Load balancing systems** distributing work across multiple processors
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-**Real-time systems** where throughput matters more than strict ordering
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-**Gaming engines** managing entity priorities and update schedules
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-**Network packet processing** with quality-of-service requirements
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**Performance Characteristics:**
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- Single-threaded performance: **42+ million operations/sec**
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- Multi-threaded scaling: Maintains **100K+ ops/sec** even at 16 threads
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- Contention resistance: Performance degrades gracefully under high load
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- Memory efficient: O(n) space complexity with minimal overhead
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### Trade-offs
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SprayList trades strict priority ordering for massive scalability improvements. The relaxed semantics mean that `delete_min()` returns an element from the "spray range" (among the first O(p log³ p) elements) rather than the exact minimum. This trade-off enables:
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-**10-100x better throughput** compared to traditional concurrent priority queues
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-**Reduced contention** through randomized element selection
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-**Better cache locality** by avoiding hot spots at the queue head
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### Alternative Considerations
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Use traditional priority queues when:
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- Exact ordering is critical to correctness
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- Single-threaded or low-concurrency access patterns
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- Small queue sizes where contention is not an issue
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## Usage
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Add this to your `Cargo.toml`:
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```toml
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[dependencies]
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spray = "0.1.0"
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spray = "1.0.0"
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```
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### Basic Example
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fnmain() {
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// Create a new SprayList
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letspray=SprayList::new();
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// Insert elements
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spray.insert(5, "five");
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spray.insert(3, "three");
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spray.insert(7, "seven");
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spray.insert(1, "one");
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spray.insert(&5, &"five");
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spray.insert(&3, &"three");
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spray.insert(&7, &"seven");
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spray.insert(&1, &"one");
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// Delete minimum (may not be the exact minimum due to relaxed semantics)
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whileletSome((key, value)) =spray.delete_min() {
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println!("Removed: {} -> {}", key, value);
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fnmain() {
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letspray=Arc::new(SprayList::new());
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spray.set_num_threads(4); // Optimize for 4 threads
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