Awesome question, Stanley — the difference between fail-fast and fail-safe is a classic concept in Java Collections, especially when you’re dealing with concurrent modifications.
Let’s make it super clear:
🧨 Fail-Fast
Fails immediately if the collection is structurally modified during iteration.
🔍 Characteristics:
- Throws
ConcurrentModificationException
- Works on the original collection
- Uses a modCount to track changes
- Not thread-safe by default
🧪 Example:
List<String> list = new ArrayList<>();
list.add("Java");
list.add("Python");
for (String item : list) {
list.remove(item); // ❌ throws ConcurrentModificationException
}
📌 Examples of fail-fast collections:
ArrayList
HashMap
HashSet
LinkedList
🛡️ Fail-Safe
Continues safely even if the collection is modified during iteration.
🔍 Characteristics:
- No exceptions thrown
- Iterates over a copy of the collection
- Changes made during iteration don’t affect the iteration
- Thread-safe in concurrent environments
🧪 Example using CopyOnWriteArrayList
:
CopyOnWriteArrayList<String> list = new CopyOnWriteArrayList<>();
list.add("Java");
list.add("Python");
for (String item : list) {
list.remove(item); // ✅ No exception thrown
}
System.out.println(list); // []
📌 Examples of fail-safe collections:
CopyOnWriteArrayList
ConcurrentHashMap
ConcurrentSkipListSet
🧠 Summary Table:
Feature | Fail-Fast | Fail-Safe |
---|---|---|
Reaction to modification | Throws exception | No exception, safe iteration |
Iteration source | Original collection | Clone/copy of the collection |
Thread-safe? | No | Yes (designed for concurrency) |
Use case | Single-threaded, performance | Multi-threaded, safety-first |
Common in | Standard collections (ArrayList) | Concurrent collections (ConcurrentHashMap) |
💬 Mnemonic:
🧨 Fail-Fast blows up fast.
🛡️ Fail-Safe plays it safe.
Want to explore the internal source code of a fail-safe vs fail-fast collection to see how it actually works under the hood? Or maybe try writing your own fail-fast iterator for learning?