Research on the technical principles of Solong Collections framework in the Java class library
Research on the technical principles of Solong Collections framework in the Java class library
Overview:
Solong Collections is an efficient set framework provided in the Java library. It uses some advanced technical principles to achieve high -performance and high efficiency of collective operations.This article will explore the technical principles of the Solong Collections framework and provide some Java code examples to illustrate its usage and performance advantages.
1. Space optimization:
Solong Collections has optimized memory use, and uses compact data structure and compression technology to reduce memory occupation.It is implemented internally using a data structure similar to BitSet, which maps each element to a bit bit, and compresses it to reduce memory occupation.This spatial optimization technology enables Solong Collections to store more elements under limited memory conditions and significantly reduce memory consumption.
Below is a sample code created and operating collection with Solong Collections framework:
import com.solong.collections.LongSet;
public class Example {
public static void main(String[] args) {
LongSet set = new LongSet();
// Add elements
set.add(1L);
set.add(2L);
set.add(3L);
// Check whether the element exists
if (set.contains(2L)) {
System.out.println("Set contains 2");
}
// Traversing collection
for (Long element : set) {
System.out.println(element);
}
}
}
2. Quickly search and insert:
Solong Collections uses the hash table to achieve the fast search and insert operation of the collection.Its memory layout uses Open Addressing technology. When hash conflicts occur, it will continue to detect the next position in the hash table until a available empty groove is found.This technology can reduce the possibility of hash conflict and improve the efficiency of search and insertion.In addition, Solong Collections also uses the optimization strategy of the latency to make the distribution of the hash value more uniform and further improve the performance of searching and inserting.
The following is a sample code for hash finding and inserting using the Solong Collections framework:
import com.solong.collections.LongHashMap;
public class Example {
public static void main(String[] args) {
LongHashMap<String> map = new LongHashMap<>();
// Insert key value pair
map.put(1L, "One");
map.put(2L, "Two");
map.put(3L, "Three");
// Get the value
String value = map.get(2L);
System.out.println (value); // Output "TWO"
}
}
3. Performance:
Solong Collections framework also uses lock separation technology to improve the concurrency performance.It is divided into multiple small partitions and allocates an independent lock for each partition.In this way, when multiple threads access different partitions, they will not produce lock competition, thereby providing better concurrency performance.In addition, Solong Collections also uses read and write locks to further improve concurrency. Reading operations can be accessed concurrently, and writing operations will monopolize locks to ensure data consistency and thread security.
Summarize:
Solong Collections framework realizes efficient collection operations through technical principles such as spatial optimization, fast searching and insertion, and concurrent performance optimization.It has low expenses in memory usage, providing fast search and insertion capabilities, and supports concurrent access.Using Solong Collections frameworks can improve the performance and efficiency of programs in large data and high concurrency scenes.
Please note that the Solong CollectionS framework is a fictional example, which is only used for the above code.In actual use, the appropriate collection framework and data structure should be selected according to specific needs, and performance optimization should be performed according to the actual situation.
