OpenHFT/HUGECOLLECTIONS/Collections framework in the Java class library. Ork in java class libraries)
The technical principles of OpenHFT/HUGECOLLECTIONS/Collegs framework in the Java library
In the Java class library, OpenHFT/HUGECOLLECTIONS/Collections framework is a powerful tool that is used to process high -performance sets for large amounts of data.It provides many powerful and highly optimized set classes, which can be stored, accessed and operated in these sets.This article will explain the technical principles of OpenHFT/HUGECOLLECTIONS/Collections framework, and provide some Java code examples to help readers better understand.
1. Memory management:
OpenHFT/HUGECOLLECTIONS/Collections Framework is highly dependent on Java pile memory to store big data sets.This design choices are to avoid the pressure of garbage recycling of Java pile of memory and improve memory access efficiency.The framework uses the Java UNSAFE class to directly operate the memory of the stack to achieve efficient memory management.
The following is an example that shows how to use OpenHFT/HUGECOLLECTIONS/Collections framework to create a collection of external memory:
OffHeapHashMap<String, Integer> map = OffHeapHashMapBuilder
.<String, Integer>newInstance()
.entries (1000) // Set the expected number of elements
.create();
map.put("key1", 1);
map.put("key2", 2);
int value = map.get("key1");
System.out.println (value); // Output: 1
map.remove("key2");
2. Data structure:
OpenHFT/HUGECOLLECTIONS/Collections framework provides a variety of data structures, including hash mapping, lists, sets, etc.These data structures are designed with high degree of concurrency and scalability.
For example, the following code demonstrates how to use OpenHFT/HUGECOLLECTIONS/Collegs framework to create an efficient hash mapping:
OffHeapHashMap<String, Integer> map = OffHeapHashMapBuilder
.<String, Integer>newInstance()
.entries(1000)
.create();
map.put("key1", 1);
map.put("key2", 2);
int value = map.get("key1");
System.out.println (value); // Output: 1
map.remove("key2");
3. Paid interview:
OpenHFT/HUGECOLLECTIONS/Collections framework uses non -blocking algorithms to achieve efficient concurrency access.The data structures in this framework are safe and can provide extremely high performance in a highly concurrent environment.
The following is an example that shows how to use OpenHFT/HUGECOLLECTIONS/Collections framework in a multi -threaded environment:
OffHeapHashMap<String, Integer> map = OffHeapHashMapBuilder
.<String, Integer>newInstance()
.entries(1000)
.create();
ExecutorService executor = Executors.newFixedThreadPool(10);
List<Callable<Void>> tasks = new ArrayList<>();
for (int i = 1; i <= 100; i++) {
final int key = i;
tasks.add(() -> {
map.put("key" + key, key);
return null;
});
}
executor.invokeAll(tasks);
executor.shutdown();
executor.awaitTermination(10, TimeUnit.SECONDS);
int value = map.get("key50");
System.out.println (value); // Output: 50
By using the thread pool and Callable, we can operate the collection objects at the same time in multiple threads without the problem of competitive conditions or data consistency.
Summarize:
OpenHFT/HUGECOLLECTIONS/Collections framework provides a high -performance solution for the storage, access and operation of large -scale data sets.By using the pile of memory, efficient data structure and non -blocking algorithm, this framework can provide excellent performance when processing a large number of concurrent requests.Using OpenHFT/HUGECOLLECTIONS/Collections framework, developers can better manage and process large -scale data sets, thereby improving the performance and scalability of the system.
It is hoped that the technical principles and examples provided in this article can help readers better understand the working principle of OpenHFT/HUGECOLLECTIONS/Collections framework in the Java library.
