In -depth interpretation of the GNU TROVE framework implementation principle in the Java class library
In -depth interpretation of the GNU TROVE framework implementation principle in the Java class library
Introduction:
The GNU TROVE in the Java class library is a optimized set framework that aims to provide efficient data structures and algorithms for Java developers.This framework has significantly improved performance and memory efficiency by reducing boxing and boxing operations, and using original data types.This article will explore the implementation principles of the GNU TROVE framework in depth to reveal how it provides a fast and memory -saving set operation.
1. Storage of the original data type:
One of the main features of the GNU TROVE framework is to directly use the original data type (such as int, long, float, etc.) to store data.In the Java standard library, the box type (such as Integer, Long, Float, etc.) usually uses data.The box type requires additional memory to store the additional object head and other metadata, and the box removal operation needs to be performed when reading and operating these data.These additional operations can cause waste of performance and memory.
For example, if you want to store a set of integers, using the Java standard library ArrayList <Integer> will cause each integer to be packaged into an INTEGER object, and it needs to be packed and unpacking operations when accessing and operating.Tintarraylist in the GNU TROVE framework directly use INT type storage data to avoid the cost of loading and boxing.
2. Reduce memory occupation:
In addition to using the original data type to store data, the GNU TROVE framework also reduces memory occupation through other optimization measures.
First of all, the GNU TROVE framework uses a special data structure, such as the hash table and bit sets using Open Addressing to reduce the latter collision and memory overhead.
Secondly, the GNU TROVE framework also uses a special compression algorithm to store sparse data structures, such as using RoaringbitMap to store a large amount of Boolean value.This compression algorithm can reduce memory occupation while maintaining query efficiency.
3. Avoid boxing and boxing operations:
The GNU TROVE framework is used to store data by using the original data type, avoiding the cost of loading and boxing.This is particularly useful in the processing of big data sets, which can significantly improve performance and reduce memory occupation.
The following is an example code that demonstrates the use of the GNU TROVE framework:
import gnu.trove.list.array.TIntArrayList;
public class TroveExample {
public static void main(String[] args) {
TIntArrayList list = new TIntArrayList();
list.add(1);
list.add(2);
list.add(3);
for (int i = 0; i < list.size(); i++) {
int value = list.get(i);
System.out.println(value);
}
}
}
In this example, we use TinTarrayList to store a set of integer without the need for boxing and boxing operations.Add the integer to the list by calling the ADD () method, and use the get () method to obtain the integer value of a specific position.
Summarize:
The GNU TROVE framework is a optimized collection framework for Java developers to provide high -efficiency data structures and algorithms.It improves performance and memory efficiency by directly using original data types to store data, reduce memory occupation, and avoid boxing and boxing operations.Using the GNU TROVE framework can achieve significant performance improvement when processing the big data set.
