🧠 Quick Definition:
Term | Definition |
---|---|
Concurrency | Dealing with lots of tasks at once (not necessarily simultaneously) |
Parallelism | Actually doing lots of tasks at the same time |
🔄 Concurrency: Switching Between Tasks
Think of it like a single chef cooking multiple dishes:
- The chef is switching between boiling water, chopping veggies, and baking.
- Only one thing happens at a time, but the chef manages multiple tasks efficiently.
📌 In code:
- You might use threads, coroutines, or async/await.
- You focus on structure, responsiveness, and handling many things.
// Threads taking turns (concurrently)
Thread A -> read DB
Thread B -> handle HTTP request
Thread C -> log user info
⚡ Parallelism: Doing Tasks Simultaneously
Now imagine multiple chefs, each cooking a different dish at the same time:
- They can chop, boil, and fry in parallel, using different hands or kitchens!
📌 In code:
- Requires multiple CPU cores
- True simultaneous execution
// Tasks run truly in parallel
ForkJoinPool pool = new ForkJoinPool(4);
pool.submit(() -> {
task1(); // runs on core 1
task2(); // runs on core 2
});
💬 A Famous Quote (Rob Pike):
“Concurrency is about dealing with lots of things at once. Parallelism is about doing lots of things at once.”
🧩 Summary Table
Feature | Concurrency | Parallelism |
---|---|---|
Focus | Structure, responsiveness | Speed, throughput |
Can run on 1 CPU? | ✅ Yes | ❌ Needs multiple CPUs/cores |
Example | Web server handling many requests | Matrix multiplication using 8 cores |
Java Tools | Threads, Executors, Future | ForkJoinPool, parallelStream() |
Analogy | One cook juggling dishes | Multiple cooks cooking simultaneously |