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Comparison: HashMap vs Hashtable vs ConcurrentHashMap
Signed-off-by: https://github.com/Someshdiwan <[email protected]>
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Comparison: HashMap vs Hashtable vs ConcurrentHashMap
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| Feature | HashMap | Hashtable | ConcurrentHashMap |
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|------------------------------|-------------------------------------------------------------------------|----------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------|
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| Thread-Safe? | No → Not synchronized, unsafe for concurrent use. | Yes → Fully synchronized (every method). | Yes → Thread-safe with better concurrency support. |
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| Synchronization Level | None → No locking at all. | Method-level → Entire map is locked for each operation (put/get). | Bucket-level (segment-level) → Only a portion of the map is locked, allowing multiple threads to operate simultaneously. |
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| Performance (Multi-threaded) | Fastest in single-threaded apps (no locking overhead). | Slow in multi-threaded apps due to global lock → one thread at a time. | Much faster in multi-threaded apps → Fine-grained locking ensures better throughput. |
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| Null Keys Allowed? | Yes → Only one null key allowed. | No → null key is not permitted. | Yes → One null key is allowed. |
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| Null Values Allowed? | Yes → Multiple null values allowed. | No → Neither keys nor values can be null. | Yes → Multiple null values allowed. |
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| Fail-Fast Behavior | Yes → Iterators are fail-fast (throws ConcurrentModificationException). | Yes → Iterators are fail-fast. | No → Iterators are fail-safe (do not throw error, but may not reflect real-time changes). |
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| Legacy / Modern? | Modern, widely used. | Legacy class (JDK 1.0), rarely used now. | Introduced in JDK 1.5 for concurrent applications. |
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| Best Use Case | Best for single-threaded applications or scenarios without concurrency. | Used in legacy systems that require synchronization but are not performance-sensitive. | Best for high-concurrency applications, e.g., web servers, caching frameworks, or multi-threaded processing. |
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## Key Insights
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1. HashMap → Best choice for non-threaded environments. Simple, fast, and lightweight.
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2. Hashtable → Legacy, fully synchronized, but very slow. Rarely used in modern Java.
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3. ConcurrentHashMap → Designed for multi-threaded, concurrent use-cases with fine-grained locking (bucket-level) to maximize performance.
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Key Differences Explained
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1. HashMap
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• Not thread-safe, but excellent for single-threaded applications.
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• Allows one null key and multiple null values.
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• Very fast since there’s no synchronization overhead.
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2. Hashtable
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• Thread-safe but slower due to method-level synchronization.
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• Does not allow null keys or null values.
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• Legacy class — rarely used in modern applications.
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3. ConcurrentHashMap
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• Best for multi-threading since it uses bucket-level locking (fine-grained synchronization).
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• Allows one null key and multiple null values.
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• Much faster than Hashtable in concurrent environments.
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Which One Should You Use?
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• Single-threaded app → Use HashMap
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• Multi-threaded app → Use ConcurrentHashMap
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• Avoid Hashtable (only relevant for maintaining old legacy code).
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