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๐Ÿ“Ž

java_concurrency_data_structures

๐Ÿงต ConcurrentHashMap & newKeySet()โ€‹

  • Best for: High-frequency reads, cache lookups, thread-safe Sets
  • Performance: O(1) lock-free reads, segmented_locking for writes
  • Memory: ~32 bytes per entry, medium overhead
  • Thread Safety: Lock-free reads, concurrent writes
  • Use Case: 99%+ read scenarios, membership checks

๐Ÿ“Š ConcurrentSkipListSetโ€‹

skip_list

  • Best for: Sorted concurrent collections, range queries
  • Performance: O(log n) for all operations
  • Memory: Higher overhead due to multi-level structure
  • Thread Safety: Lock-free via CAS operations
  • Use Case: Need sorted order + concurrency

๐Ÿ“ CopyOnWriteArraySetโ€‹

  • Best for: Small collections with rare updates
  • Performance: O(n) reads, O(n) writes (full copy)
  • Memory: Low overhead, but copies entire array on write
  • Thread Safety: Snapshot isolation
  • Use Case: < 50 items, very infrequent updates

๐Ÿ”’ Collections.synchronizedSet()โ€‹

  • Best for: Legacy compatibility only
  • Performance: Poor - all operations synchronized
  • Memory: Low overhead
  • Thread Safety: Coarse-grained locking
  • Use Case: Avoid in new code

๐Ÿƒ ConcurrentLinkedQueueโ€‹

  • Best for: Producer-consumer scenarios
  • Performance: O(1) enqueue/dequeue operations
  • Memory: Node-based structure, moderate overhead
  • Thread Safety: Lock-free via CAS
  • Use Case: High-throughput queuing

๐Ÿšซ ArrayBlockingQueueโ€‹

  • Best for: Bounded queues with backpressure
  • Performance: O(1) with blocking capabilities
  • Memory: Fixed-size array, predictable memory
  • Thread Safety: ReentrantLock with conditions
  • Use Case: Rate limiting, bounded buffers

โšก ConcurrentLinkedDequeโ€‹

  • Best for: Double-ended concurrent operations
  • Performance: O(1) operations at both ends
  • Memory: Node-based, higher than array-based
  • Thread Safety: Lock-free
  • Use Case: Work-stealing algorithms

๐ŸŽฏ Key Decision Factorsโ€‹

  • Read/Write Ratio:
    • 99% reads: ConcurrentHashMap types
    • Balanced: Traditional concurrent collections
    • 99% writes: Consider non-blocking queues
  • Size Expectations:
    • Small (< 100): CopyOnWrite collections
    • Large (> 1000): ConcurrentHashMap variants
    • Unbounded: ConcurrentLinked collections
  • Ordering Requirements:
    • No order: ConcurrentHashMap
    • Natural order: ConcurrentSkipListSet
    • Insertion order: ConcurrentLinkedDeque
  • Memory Constraints:
    • Tight memory: Collections.synchronized (avoid)
    • Moderate: ConcurrentHashMap variants
    • Flexible: Any concurrent collection

References