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Multithreading in Java is a feature that allows multiple tasks to run concurrently within the same program. Instead of executing one task at a time, Java enables parallel execution using lightweight threads. This makes applications more efficient, faster and responsive in real-world scenarios like servers, games and chat systems.
Example: Suppose a restaurant kitchen where multiple chefs are working simultaneously on different dishes. This setup ensures faster service and better CPU (chef) utilization, just like threads in Java.
Example: Java Program to illustrate Creation and execution of a thread via start() and run() method in Single inheritance
Thread1 is running Thread2 is running
Multithreading allows concurrent execution of two or more parts of a program for maximum CPU usage. It improves application performance and responsiveness.
A process is an independent program in execution, while a thread is a lightweight sub-process. Understanding their differences is key to mastering concurrency.
In Java, threads can be created either by extending the Thread class or by implementing the Runnable interface. Both approaches have different use cases.
A thread passes through different states like New, Runnable, Running, Waiting and Terminated. The lifecycle is managed by the JVM and thread scheduler.
Java provides built-in methods like start(), run(), sleep() and join() to manage thread execution and control its behavior.
Threads can be assigned priorities to influence scheduling decisions. Higher priority threads are given preference by the thread scheduler.
Synchronization ensures that multiple threads do not interfere with each other while accessing shared resources. It helps prevent data inconsistency and race conditions.
Threads can communicate using methods like wait(), notify() and notifyAll(). This enables coordination between multiple threads.
Deadlock occurs when two or more threads wait indefinitely for resources locked by each other. Java provides techniques to avoid and resolve deadlocks.
Thread safety ensures correct program execution when multiple threads access shared data. Techniques include synchronized, volatile and ThreadLocal.
Daemon threads are background threads that run to support user threads and automatically terminate when all user threads finish execution.
The concurrency package provides tools like Executors, Callable, Future and Thread Pools. These simplify managing multithreaded applications.