Cornerstones of Concurrent Programming: Exploring the World of Java Concurrent Collections

php editor Baicao brings you an article about exploring the world of Java concurrent programming. As a popular programming language, Java's concurrent programming is one of the indispensable skills for programmers. A deep understanding of the fundamentals of concurrent programming in Java is the cornerstone of success in this world. Let's explore the mysteries of concurrent programming, discover the fun and challenges, and improve your programming skills!

• Concurrent list: CopyOnWriteArrayList, ConcurrentLinkedQueue
• Concurrent set: ConcurrentHashMap, ConcurrentSkipListSet
• Concurrent queue: ArrayBlockingQueue, LinkedBlockingQueue
• Concurrency stack: ConcurrentLinkedDeque
• Concurrent mapping: ConcurrentHashMap, ConcurrentSkipListMap

ConcurrencyControl

Lock: Lock is a mutual exclusion mechanism that only allows one thread to enter the critical section (code block of shared resources) at a time. Java provides various locks such as the synchronized keyword and the ReentrantLock class.

Atomic operations: Atomic operations are a set of updates that are executed as a unit, ensuring that either all updates succeed or none succeed. Atomic operations in Java include compareAndSet and getAndIncrement.

Thread safety

ThreadsSafety means that data structures can be safely accessed from multiple threads simultaneously without causing data corruption or unstable program behavior. Java ConcurrencyCollections are thread-safe because they have appropriate concurrency control mechanisms built into them.

Performance considerations

Selecting appropriate concurrent collections to optimize performance is critical.

• Synchronization overhead: Locks incur synchronization overhead, so the possibility of contention should be considered when selecting a collection.
• Scalability: Concurrent collections should be scalable to large applications with a large number of threads and high concurrency .
• Memory usage: Concurrent collections may be more expensive than non-concurrent collections when using memory.

Example

Java concurrent collections are widely used in applications that require concurrent processing of data:

• Multi-threaded applications: Applications that need to access shared data from multiple threads simultaneously.
• Web Server: Handle concurrent requests from multiple clients.
• Database applications: Store and retrieve concurrently accessed data.
• Game development: Handle the interaction of multiple objects in a real-time environment.
• Big data processing: Process large data sets in parallel.

Best Practices

• Use the correct concurrent collection type for best performance.
• Minimize contention for locks to avoid performance degradation.
• Understand the Java memory model and visibility rules to ensure correct interaction between threads.
• Follow Concurrent programming best practices, such as avoiding deadlocks and race conditions.

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