The best practice of the HFT collection framework in the Java class library

HFT (high -frequency transaction) is a strategy of transaction through high frequency, and the efficiency of time is crucial.In order to support this demand, the Java library provides the HFT set framework, which is a set of data structures and algorithms designed for high -performance and low -delay design. When using the HFT collection framework, there are some best practices to help developers make full use of their functions and performance.Here are some of the key best practices: 1. Select the appropriate data structure: In the HFT set framework, there are multiple data structures to choose from, including FastMap, FastSet, Fastlist, etc.According to the requirements of specific scenarios and the characteristics of data, it is important to choose the appropriate data structure.For example, if you need efficient key values, you can choose FastMap. FastMap<String, Integer> fastMap = new FastMap<>(); fastMap.put("key1", 1); fastMap.put("key2", 2); System.out.println (FastMap.get ("Key1"); // Output: 1 2. Reducing memory distribution and garbage recycling: In high -frequency transactions, reducing memory distribution and garbage recovery are essential.It can reduce memory distribution by avoiding frequent creation and destruction.When using the HFT set framework, some object pools can be allocated to reduce frequent access to memory. IntObjPool<MyObject> objectPool = new IntObjPool<>(MyObject::new, 1000); MyObject obj = objectPool.get(); // Use obj to operate objectPool.put(obj); 3. Use the lock -free data structure: The data structure in the HFT set framework mostly supports no lock access, which means that it can avoid the simultaneous synchronization overhead between threads and improve the concurrency performance.For example, you can use FastSet as a collection of thread security: FastSet<Integer> fastSet = new FastSet<>(); fastSet.add(1); fastSet.add(2); System.out.println (FastSet.Contains (1)); // Output: true 4. Optimize traversal operation: In high -frequency transactions, you often need to perform traversal operations.When using the HFT collection framework, it can be used to traverse the collection with iterators, which has good performance.In addition, if the length of the traversal can be estimated, you can use the large -scale access set elements to obtain better performance. FastList<String> fastList = new FastList<>(); fastList.add("item1"); fastList.add("item2"); FastList.Iterator<String> iter = fastList.iterator(); while (iter.hasNext()) { System.out.println(iter.next()); } // int size = fastList.size(); for (int i = 0; i < size; i++) { System.out.println(fastList.get(i)); } 5. Performance testing and optimization: In practical applications, it is very important to test and optimize the performance of the HFT collection framework.You can use the Benchmark tool to test the performance of the code, find the potential performance bottleneck, and optimize the targeted optimization. @BenchmarkMode(Mode.Throughput) @Warmup(iterations = 3) @Measurement(iterations = 5) public class MyBenchmark { @Benchmark public void testMethod() { // Test performance code } } By following the best practice above, developers can maximize the functions and performance of the HFT set framework.However, please note that the best practice may be different due to specific application scenarios, so it is very important to adjust the actual needs.