The performance comparison and evaluation of the performance of the Grovy framework and the Java class library

The performance comparison and evaluation of the performance of the Grovy framework and the Java class library Overview: Grovy is a dynamic language based on the Java virtual machine (JVM), which combines the powerful performance and flexibility of Java.Compared to Java, Groovy provides more concise, more readable, more flexible grammar and more powerful meta -programming capabilities.However, performance is an important factor that needs to be considered when choosing to use the Groovy framework or Java class library.This article will compare and evaluate the Groovy framework and the Java class library, and provide relevant Java code examples. Performance comparison: In order to evaluate performance, we use a common problem scene as an example. In this scene, we need to screen and seek peace on an integer list. In Java, we can use the Stream API introduced by Java 8 to deal with this problem.The following is a sample code using the Java Stream API: Java List<Integer> numbers = Arrays.asList(1, 2, 3, 4, 5, 6, 7, 8, 9, 10); int sum = numbers.stream() .filter(n -> n % 2 == 0) .mapToInt(Integer::intValue) .sum(); System.out.println("Sum: " + sum); In Groovy, we can use its integrated functional programming characteristics to solve the same problems.Below is an example code using Groovy: Groovy List<Integer> numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] def sum = numbers.findAll { it % 2 == 0 } .sum() println "Sum: $sum" It can be seen through the above examples that Groovy's grammar is more concise and easy to read. Performance assessment: In order to evaluate the performance differences between the Groovy framework and the Java class library, we can compare their execution time when they process the big data set.We will use a list containing 1 million integers and perform the same screening and harmonious operation. First, we use Java code to implement: Java List<Integer> numbers = new ArrayList<>(); for (int i = 0; i < 1000000; i++) { numbers.add(i); } long startTime = System.currentTimeMillis(); int sum = numbers.stream() .filter(n -> n % 2 == 0) .mapToInt(Integer::intValue) .sum(); long endTime = System.currentTimeMillis(); long executionTime = endTime - startTime; System.out.println("Sum: " + sum); System.out.println("Execution time: " + executionTime + " ms"); Then, we use the Groovy code to implement: Groovy List<Integer> numbers = (1..1000000).toList() def startTime = System.currentTimeMillis() def sum = numbers.findAll { it % 2 == 0 } .sum() def endTime = System.currentTimeMillis() def executionTime = endTime - startTime println "Sum: $sum" println "Execution time: ${executionTime} ms" By running the above code, we can compare their execution time.In general, because Groovy is running on JVM, its performance is equivalent to Java when processing big data sets. Precautions: In practical applications, performance differences may be affected by other factors, such as the complexity of the code, the library of use and the version of the framework.Therefore, when selecting the Groovy framework or the Java class library, more practical applications need to be considered. in conclusion: In terms of performance, the Groovy framework and the Java class library performed equally when processing the big data set.Although Groovy has more concise and easy -to -read grammar, Java is still the first choice in high -performance and large -scale applications.Therefore, when choosing to use the Groovy framework or Java class library, it is necessary to comprehensively consider the requirements and performance requirements of the project. It is hoped that this article will be helpful for the performance and evaluation of the Groovy framework and the Java class library.If you have other issues on this topic, welcome to continue to communicate with us. Code example source: -JAVA sample code: htps://docs.oracle.com/javase/8/docs/api/java/util/stream/stream.html#filter-java.util.function.predicate- -Loovy sample code: https://groovy-lang.org/prography.html#_functional_programming