Gu Guide of the GNU TROVE framework in the Java library

The GNU TROVE framework is an open source Java class library, which aims to provide high -efficiency operations to handle a large number of data sets.It provides a set of special collection classes to optimize the storage and access of large -scale data, especially for basic data types (such as int, long, double, etc.).This article will introduce the guidelines of the GNU TROVE framework in the Java class library. First, the dependencies of introducing the GNU TROVE framework need to be introduced in the project.You can integrate the GNU TROVE framework into the project by Maven, Gradle or manually downloading JAR package. Next, you can start using the special collection class provided by GNU TROVE to optimize the operation of large -scale data.Take Tinthashset as an example. It is a hash collection class provided by GNU TROVE to store INT type data.The following is a simple sample code: import gnu.trove.set.TIntSet; import gnu.trove.set.hash.TIntHashSet; public class TroveExample { public static void main(String[] args) { // Create Tinthashset example TIntSet intSet = new TIntHashSet(); // Add data to the collection intSet.add(1); intSet.add(2); intSet.add(3); // Judging whether the set contains specific elements System.out.println ("Whether 2 contains 2:" + intset.contains (2)); // Traversing collection int[] array = intSet.toArray(); for (int i : array) { System.out.println(i); } } } In the above example, we first created an instance INTSET of TinthashSet, and then added several INT -type elements to the set.Then we judge whether the set contains specific elements and conduct traversal operations. In addition to TinthashSet, the GNU TROVE framework also provides special sets such as Tlonghashset, TdoublehashSet, etc., as well as special mapping for key values to storage. All in all, the GNU TROVE framework can provide efficient solutions for the processing of large -scale data sets, which is especially suitable for the operation of basic data types.Through the introduction of this article, I hope to help readers better understand and use the GNU TROVE framework.