Common problems and solutions for low GC Memory Queue framework

Low GC Memory Queue framework is a memory queue implementation for reducing the cost of garbage recovery (GC).It improves the throughput and delay performance of the system by reducing object distribution and GC pressure.However, when using a low GC Memory Queue framework, some common problems may be encountered.This article will discuss these issues and provide corresponding solutions and Java code examples. Question 1: Performance decline caused by the frequent distribution of the object When using a low GC Memory Queue framework, if the object is frequently distributed, it will lead to unnecessary GC overhead and affect system performance. Solution: You can use the object pool technology to reduce the distribution of the object.The object pool is a mechanism that can be reused.Through the object pool, frequent object distribution and recycling operations can be reduced, thereby reducing the number of garbage recovery.The following is an example code that uses Apache Commons Pool Library to implement the object pool: // Create object pool GenericObjectPool<MyObject> objectPool = new GenericObjectPool<>(new MyObjectFactory()); // Get the object from the object pool MyObject obj = objectPool.borrowObject(); try { // user target audience // ... } finally { // Put the object back to the object pool objectPool.returnObject(obj); } Question 2: Memory leakage The low GC Memory Queue framework may occur during the use of memory leaks during use, that is, useless objects cannot be recycled, which eventually leads to exhaustion of memory. Solution: When using a low GC Memory Queue framework, it is necessary to ensure the life cycle of correctly defining and using the object.Try to avoid the cycle reference of the object to ensure that the garbage recyler can correctly recover the useless objects.In addition, it is also an effective way to use memory analysis tools (such as Visualvm, MAT, etc.) to detect and investigate potential memory leakage problems. Question 3: Access to access competition conditions Using a low GC Memory Queue framework in a multi -threaded environment may occur in competitive conditions caused by concurrent access, such as the insertion and deletion operation of multiple threads at the same time. Solution: A common solution is to use thread security data structures or lock mechanisms to protect shared resources.In Java, a security queue of threads such as ConcurrentLinkedQueue can be used to replace ordinary non -threaded security queues.The following is an example code that uses ConcurrentLINKEDQUEUE: // Create a thread security queue ConcurrentLinkedQueue<String> queue = new ConcurrentLinkedQueue<>(); // Add elements queue.add("element"); // Get and remove the head elements of the queue String element = queue.poll(); Summarize: When using a low GC Memory Queue framework, we may encounter common problems such as frequent distribution, memory leakage and concurrency access to competition conditions.By using object pool technology, correct definition and the life cycle of the object, and the data structure or lock mechanism of using thread security, we can effectively solve these problems and improve the performance and reliability of the system. Reference materials: - [Apache Commons Pool](https://commons.apache.org/proper/commons-pool/) - [VisualVM](https://visualvm.github.io/) - [MAT (Eclipse Memory Analyzer)](https://www.eclipse.org/mat/)