Concurrent Collections in Java
🚨 The Problem with Standard Collections
In multithreaded environments, using standard collections like ArrayList
, HashMap
, or HashSet
can lead to data corruption, inconsistent state, or ConcurrentModificationException
.
Example Problem:
✅ The Solution: Concurrent Collections
Java’s java.util.concurrent
package provides thread-safe alternatives to standard collections that allow safe access and updates by multiple threads simultaneously.
🧰 Popular Concurrent Collections (Cheat Sheet)
Collection | Thread-Safe? | Key Features |
---|---|---|
ConcurrentHashMap |
✅ | Fast, thread-safe, non-blocking reads |
CopyOnWriteArrayList |
✅ | Best for frequent reads, rare writes |
ConcurrentLinkedQueue |
✅ | Non-blocking queue for FIFO operations |
ConcurrentSkipListMap |
✅ | Thread-safe, sorted map |
BlockingQueue (ArrayBlockingQueue , LinkedBlockingQueue ) |
✅ | Supports producer-consumer model with blocking |
🔍 1. ConcurrentHashMap
A high-performance alternative to HashMap
in multithreading.
Features:
- No locking on read operations
- Uses internal segment locks for writes
- Null keys/values are not allowed
🔍 2. CopyOnWriteArrayList
Useful when read operations vastly outnumber writes.
Internals:
- On each write, the entire array is copied
- Safe for iteration even during concurrent modifications
🔍 3. ConcurrentLinkedQueue
Non-blocking, thread-safe queue implementation.
🔍 4. BlockingQueue
– Producer/Consumer Model
⚖️ Comparison: SynchronizedMap
vs ConcurrentHashMap
Feature | Collections.synchronizedMap() |
ConcurrentHashMap |
---|---|---|
Locking | Whole map | Fine-grained (segments) |
Performance | Slower | Faster |
Nulls | Allowed | Not allowed |
💡 When to Use What?
- Use ConcurrentHashMap for high-speed shared caches
- Use CopyOnWriteArrayList when many threads read and few write
- Use BlockingQueue for task queues
- Avoid using
Vector
orHashtable
in modern Java — they're outdated
🧠 Summary
Concurrent collections are a powerful tool for writing safe, efficient, and scalable multithreaded Java programs. They help avoid boilerplate synchronization and are optimized for high-concurrency scenarios.