Concurrency in Java
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The document discusses key concepts related to threads and concurrency in Java. It defines processes, threads, and the Java memory model. It then covers various concurrency utilities in Java like synchronized blocks, volatile fields, atomic classes, thread pools, blocking queues, and locking mechanisms like ReentrantLock. The last part discusses high-level concurrency constructs like semaphores, latches, barriers, and phaser.
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Concurrency in Java
- 2. A Process runs independently and isolated of other processes. It cannot directly access shared data in other processes. A Thread is a so called Lightweight Process. It has its own call stack, but can access shared data of other threads in the same process. Every thread has its own memory cache – Thread Local Storage. A Java application runs by default in One Process. Inter-process communication (IPC) is a mechanism that allows the exchange of data between processes, e.g. Java applications.
- 3. If it behaves correctly when accessed from multiple threads, regardless of the scheduling or interleaving of the execution of those threads by the runtime environment, and with no additional synchronization or other coordination on the part of the calling code. Use proper locking mechanism when modifying shared data. Locking establishes the orderings needed to satisfy the Java Memory Model (JSR-133) and guarantee the visibility of changes to other threads.
- 4. synchronized modifier ◦ A block of code that is marked as synchronized in Java tells the JVM: "only let one thread in here at a time". final modifier ◦ Values of final fields, including objects inside collections referred to by a final reference, can be safely read without synchronization. ◦ Store a reference to an object in a final field only makes the reference immutable, not the actual object. volatile modifier ◦ It’s used to mark a field and indicate that changes to that field must be seen by all subsequent reads by other threads, regardless of synchronization. ◦ It’s not suitable for cases where we want to Read-Update-Write as an atomic operation. ◦ synchronization modifier supports mutual exclusion and visibility. In contrast, the volatile modifier only supports visibility.
- 5. Object Level Locking Class Level Locking
- 6. Compare-and-swap (CAS) ◦ A hardware instruction is much more Lightweight than Java's monitor- based synchronization mechanism and is used to implement some highly scalable concurrent classes. Atomic classes ◦ Support atomic compound actions on a single value in a lock-free manner similar to volatile.
- 7. Java Thread Local Storage - TLS It’s typically private static fields in classes that wish to associate state with a thread, e.g. a current user or transaction. The best way to avoid memory leak is to call remove() method or set(null) on the ThreadLocal instance once the job is done.
- 9. Thread-per-task approach ◦ When a large number of threads may be created, each created thread requires memory, and too many threads may exhaust the available memory, forcing the application to terminate. Executor Framework ◦ Use a flexible Thread Pool implementation, in which a fixed or certain number of threads would service incoming tasks.
- 12. Executors factory methods ◦ newSingleThreadExecutor ◦ newFixedThreadPool ◦ newCachedThreadPool ◦ newSingleThreadScheduledExecutor ◦ newScheduledThreadPool Runnable, Callable and Future ◦ A Callable is like the familiar Runnable but can return a result and throw an exception. ◦ A Future is a marker representing a result that will be available at some point in the future.
- 13. Fixed Thread Pool Scheduled Thread Pool
- 15. CopyOnWriteArrayList CopyOnWriteArraySet ◦ ConcurrentSkipListSet Iterator ◦ Uses a snapshot of the underlying list (or set) and does not reflect any changes to the list or set after the snapshot was created. ◦ Never throw a ConcurrentModificationException. ◦ Doesn't support remove(), set(o) and add(o) methods, and throws UnsupportedOperationException. Use cases ◦ Share the data structure among several threads and have few writes and many reads.
- 17. One of most common Java EE performance problems is infinite looping triggered from the non-thread safe HashMap get() and put() operations. Performance comparison ◦ Non-thread safe HashMap ◦ ConcurrentHashMap ConcurrentNavigableMap ConcurrentSkipListMap ◦ SynchronizedHashMap ◦ HashTable
- 18. BlockingQueue ◦ Unidirectional ◦ ArrayBlockingQueue ◦ ConcurrentLinkedQueue ◦ DelayQueue ◦ LinkedBlockingQueue ◦ PriorityBlockingQueue ◦ PriorityQueue ◦ SynchronousQueue
- 19. Deque ◦ Bidirectional ◦ ArrayDeque ◦ ConcurrentLinkedDeque ◦ LinkedBlockingDeque
- 24. A Semaphore is capable of restricting thread access to a common resource, or sending signals between threads to avoid missed signals. It's often implemented as a protected variable whose value is incremented by acquire(): -1 and decremented by release(): +1. Objective ◦ Guarding Critical Sections ◦ Sending Signals Between Threads Use cases ◦ Limiting concurrent access to disk ◦ Thread creation limiting ◦ JDBC connection pooling / limiting ◦ Network connection throttling ◦ Throttling CPU or memory intensive tasks
- 25. A CountDownLatch causes one or more threads to wait for a given set of operations to complete. The CountDownLatch is initialized with a count. Threads may call await() to wait for the count to reach 0. Other threads may call countDown(): -1 to reduce count. Not reusable once the count has reached 0. Use cases ◦ Achieving Maximum Parallelism ◦ Wait for several threads to complete
- 28. A CyclicBarrier lets a set of threads wait for each other to reach a common barrier point. It can be reused indefinitely after the waiting threads are released. Participants call await() and block until the count is reached, at which point an optional barrier task is executed by the last arriving thread, and all threads are released. Use cases ◦ Multiplayer games that cannot start until the last player has joined.
- 30. An Exchanger (rendezvous) lets a pair of threads exchange data items. An exchanger is similar to a cyclic barrier whose count is set to 2 but also supports exchange of data when both threads reach the exchange point. An Exchanger waits for threads to meet at the exchange() method and swap values atomically. Use cases ◦ Genetic Algorithm, Pipeline Design
- 32. A Phaser (introduced in Java 7) is similar to a CyclicBarrier in that it lets a group of threads wait on a barrier and then proceed after the last thread arrives. It’s similar in functionality to CyclicBarrier and CountDownLatch but supporting more flexible usage. Unlike a cyclic barrier, which coordinates a fixed number of threads, a Phaser can coordinate a variable number of threads, which can register or deregister at any time.
- 34. CountDownLatch ◦ Created with a fixed number of threads. ◦ Cannot be reset. ◦ Allows threads to wait or continue with its execution. CyclicBarrier ◦ Created with a fixed number of threads. ◦ Can be reset. ◦ The threads have to wait till all the threads arrive. Phaser ◦ Can register/add or deregister/remove threads dynamically. ◦ Can be reset. ◦ Allows threads to wait or continue with its execution. ◦ Supports multiple Phases.
- 35. Lock ◦ Implemented by ReentrantLock. ◦ It provides all the features of synchronized keyword with additional ways to create different Conditions for locking, providing timeout for thread to wait for lock. ReadWriteLock ◦ Implemented by ReentrantReadWriteLock. ◦ It contains a pair of associated locks, Read Lock for read-only operations and Write Lock for writing. The Read Lock may be held simultaneously by multiple reader threads as long as there are no writer threads. The Write Lock is exclusive.
- 36. Lock ◦ Ability to lock interruptibly. ◦ Ability to timeout while waiting for lock. ◦ Power to create fair lock. ◦ API to get list of waiting thread for lock. ◦ Flexibility to try for lock without blocking. Synchronization ◦ Not required a try-finally block to release lock. ◦ Easy to read code.
- 39. Reader Writer
- 40. Fork/Join Framework (introduced in Java 7) ◦ A style of parallel programming in which problems are solved by (recursively) splitting them into subtasks that are solved in parallel. - Professor Doug Lea The Fork/Join Framework is a special executor service for running a special kind of task. It is designed to work well with for divide-and-conquer, or recursive task-processing. 1. Separate (fork) each large task into smaller tasks. 2. Process each task in a separate thread (separating those into even smaller tasks if necessary). 3. Join the results.
- 41. Fork/Join Pseudo Code Fork/Join Process
- 42. ForkJoinPool ◦ An ExecutorService implementationthat runs ForkJoinTasks. ForkJoinWorkerThread ◦ A thread managed by a ForkJoinPool, which executes ForkJoinTasks. ForkJoinTask ◦ Describes thread-like entities that have a much lighter weight than normal threads. Many tasks and subtasks can be hosted by very few actual threads. ◦ RecursiveAction A recursive resultless ForkJoinTask. ◦ RecursiveTask A recursive result-bearing ForkJoinTask.
- 44. Fork/Join allows you to easily execute divide-and-conquer jobs, which have to be implemented manually if you want to execute it in ExecutorService. In practice ExecutorService is usually used to process many independent requests concurrently, and fork-join when you want to accelerate one coherent job.
- 46. Added Value of Task Parallelism in Batch Sweeps Java 7 util.concurrent API UML Class Diagram Examples Java performance tuning tips or everything you want to know about Java performance in 15 minutes Thread synchronization, object level locking and class level locking Java 7: HashMap vs ConcurrentHashMap HashMap Vs. ConcurrentHashMap Vs. SynchronizedMap – How a HashMap can be Synchronized in Java
- 47. Java concurrency: Understanding CopyOnWriteArrayList and CopyOnWriteArraySet java.util.concurrent.Phaser Example Java Tip: When to use ForkJoinPool vs ExecutorService Java 101: Java concurrency without the pain, Part 1 Java 101: Java concurrency without the pain, Part 2 Book excerpt: Executing tasks in threads Modern threading for not-quite-beginners Modern threading: A Java concurrency primer
- 48. Java concurrency (multi-threading) - Tutorial Understanding the Core Concurrency Concepts Java Concurrency / Multithreading Tutorial java.util.concurrent - Java Concurrency Utilities Java BlockingQueue Example implementing Producer Consumer Problem Java Concurrency with ReadWriteLock Java Lock Example and Concurrency Lock vs synchronized Java ReentrantReadWriteLock Example ReentrantLock Example in Java, Difference between synchronized vs ReentrantLock