Java类库中的技术原理——OpenHFT/HugeCollections/collections框架 (Technical Principles of OpenHFT/HugeCollections/collections Framework in Java Class Libraries)

The technical principle in the Java class library In the Java library, there are many powerful technical principles and frameworks to use.One of the much attention is OpenHFT/HUGECOLLECTIONS/Collegs framework.This article will introduce you to the technical principles of this framework and help you better understand it through some Java code examples. OpenHFT/HUGECOLLECTIONS/Collections is a high -performance Java set framework. By optimizing the memory layout and access mode, it provides a faster and more efficient data structure and operation compared with the standard Java set framework.Here are some key technical principles of the framework: 1. Memory layout Optimization: OpenHFT/HUGECOLLECTIONS/Collections framework uses a special memory layout that can minimize the cost of memory fragments and data access.It enables the object to access the object by storing the object in a continuous memory block and using a offset -based index to improve the efficiency of memory access. 2. Quick iteration: This framework provides some efficient iterators and traversal methods, which can quickly traverse elements in the set.It uses memory layout to optimize and special iterative algorithms to reduce the iterative expenses and increase the speed of recycling. 3. High -speed insertion and deletion: OpenHFT/Hugecollections/Collections framework has efficient insertion and deletion operations.It uses lock -free data structures and special algorithms to ensure the concurrentness and performance of operation.For example, it uses a mechanism called "compare and swap", which can be updated atomic operation without locking. 4. Data sharing and communication: This framework supports data sharing and communication, which can be efficiently shared and synchronized between multiple threads.It provides some concurrent collection and synchronization primitives, such as thread security queues and counter to help developers realize data sharing and communication during concurrent programming. Below is a simple example, showing the use of OpenHFT/HUGECOLLECTIONS/Collections framework: import net.openhft.collections.SharedHashMap; public class CollectionsExample { public static void main(String[] args) { // Create Sharedhashmap collection SharedHashMap<String, Integer> map = new SharedHashMap.Builder<String, Integer>() .entries(10000) .create(); // Insert data to the collection map.put("key1", 1); map.put("key2", 2); map.put("key3", 3); // Get data from the collection int value1 = map.get("key1"); int value2 = map.get("key2"); System.out.println ("Value1:" + Value1); // Output: Value1: 1: 1 System.out.println ("Value2:" + Value2); // Output: Value2: 2 // Delete data in the collection map.remove("key3"); // Elberry all elements in the iteration for (SharedHashMap.Entry<String, Integer> entry : map.entrySet()) { System.out.println(entry.key() + ": " + entry.value()); } } } In the above example, we use the SharedhashMap class to create a shared hash table, and then insert a few key values to it.We also demonstrated how to obtain data, delete data, and iterate all the elements in the collection. As we see, OpenHFT/Hugecollections/Collections frameworks can provide high -efficiency data structures and operations by optimizing the memory layout and access mode.This makes it an ideal choice to process a large amount of data and high concurrency environment.Whether it is building high -performance concurrency or optimizing the existing Java collection operations, it is worth considering the use of the framework.