Explain the difference between HashMap, HashTable, and ConcurrentHashMap.

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🔹 1. HashMap

  • Introduced in: Java 1.2

  • Synchronization: Not synchronized → Not thread-safe. If multiple threads access it simultaneously, external synchronization is required.

  • Null keys/values: Allows 1 null key and multiple null values.

  • Performance: Faster in single-threaded applications because there is no synchronization overhead.

  • Use case: Best for non-threaded environments or when only one thread accesses the map at a time.

🔹 2. Hashtable

  • Introduced in: Java 1.0 (legacy class).

  • Synchronization: Synchronized at the method level → Thread-safe, but all operations are blocked at method calls, leading to performance bottlenecks.

  • Null keys/values: Does not allow null key or null values.

  • Performance: Slower than HashMap due to synchronized methods.

  • Use case: Rarely used now; mostly replaced by ConcurrentHashMap in multithreaded environments.

🔹 3. ConcurrentHashMap

  • Introduced in: Java 1.5

  • Synchronization: Thread-safe but with better concurrency. It uses bucket-level (segment-level) locking or CAS (in newer versions), so multiple threads can read and write simultaneously without blocking the entire map.

  • Null keys/values: Does not allow null key or null values (to avoid ambiguity in concurrent operations).

  • Performance: Much faster than Hashtable in multi-threaded scenarios since it reduces contention.

  • Use case: Ideal for highly concurrent applications where multiple threads update/read maps frequently.

✅ Quick Comparison Table

FeatureHashMapHashtableConcurrentHashMap
Thread-safe❌ No✅ Yes✅ Yes (efficient)
SynchronizationNoneWhole map (methods)Partial (buckets/segments)
Null key1 allowedNot allowedNot allowed
Null valuesMultiple allowedNot allowedNot allowed
PerformanceFast (single-thread)Slow (global lock)Fast (multi-threaded)
Introduced inJava 1.2Java 1.0Java 1.5

👉 In summary:

  • Use HashMap for single-threaded applications.

  • Use ConcurrentHashMap for multi-threaded applications.

  • Avoid Hashtable, since it’s legacy and less efficient.

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