A Java port of Scala's concurrent lock-free hash trie map (Ctrie) with atomic snapshots and scalable concurrent operations.
java-concurrent-hash-trie-map is a Java implementation of a concurrent trie hash map (Ctrie), ported from the Scala collections library. It provides a lock-free, thread-safe map data structure with scalable concurrent operations and support for atomic snapshots, solving the need for high-performance concurrent maps in Java applications.
Java developers building highly concurrent applications who need scalable, thread-safe map implementations beyond standard ConcurrentHashMap, particularly those requiring atomic snapshots or lock-free algorithms.
Developers choose this over alternatives because it offers lock-free concurrency with O(1) atomic snapshots, better scalability for concurrent inserts/removes than typical hash maps, and is a complete drop-in replacement for ConcurrentHashMap with additional Ctrie advantages.
Java port of a concurrent trie hash map implementation from the Scala collections library
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Provides thread-safe, lock-free operations for highly scalable concurrent inserts and removes, as emphasized in the key features for multi-threaded environments.
Enables O(1) atomic snapshots for linearizable size, iterator, and clear operations with lazy evaluation, a unique feature highlighted in the README's description.
Uses a hash array mapped trie to optimize memory usage while maintaining performance, a core advantage noted in the project's key features.
Implements all ConcurrentMap and Iterator methods, passing all tests and matching the original Scala feature set, making it easy to replace ConcurrentHashMap.
Returns Objects instead of Scala's Option types for better Java integration and has no external dependencies, simplifying usage as stated in the README.
Lock-free algorithms can introduce performance overhead compared to simpler locking mechanisms in scenarios with minimal concurrent access, which may not justify the complexity.
As a niche port from Scala, it has fewer users, less community documentation, and slower updates than mainstream options like ConcurrentHashMap.
The lock-free nature and trie structure increase the difficulty of debugging and reasoning about the code, especially for developers unfamiliar with such algorithms.
Being a line-by-line port, it may not quickly incorporate optimizations or changes from the original Scala implementation or evolving Java standards.