A Java Map implementation with the lowest memory usage and no rehash latency spikes, using extendible hashing.
SmoothieMap is a Java Map implementation that provides the lowest memory usage and eliminates rehash latency spikes, using a version of extendible hashing with 48-slot mini segments. It solves the problem of unpredictable performance in high-throughput applications by ensuring consistent low-latency operations without the memory overhead of traditional hash maps.
Java developers building high-performance, low-latency applications such as financial systems, real-time data processing, or any scenario where predictable map performance and minimal memory footprint are critical.
Developers choose SmoothieMap for its guaranteed absence of rehash latency spikes and superior memory efficiency compared to standard Java Map implementations, making it ideal for latency-sensitive environments where HashMap's resizing behavior is unacceptable.
A gulp of low latency Java
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Uses extendible hashing with 48-slot mini segments to minimize memory overhead, outperforming standard HashMap in memory efficiency.
Avoids resizing pauses through extendible hashing, ensuring predictable low latency for critical operations in performance-sensitive apps.
Includes a proof-of-concept SwissTable implementation for benchmarking, offering insights into cutting-edge hashing techniques.
Does not provide native thread-safe operations like ConcurrentHashMap, requiring external synchronization for multi-threaded use.
Focuses on core hashing performance, potentially lacking optimizations for edge cases or full Map interface features such as ordering.
Relies heavily on a Medium post for detailed explanations, with limited tutorials or examples compared to standard Java libraries.