eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
announcement - icon

Let's get started with a Microservice Architecture with Spring Cloud:

>> Join Pro and download the eBook

eBook – Mockito – NPI EA (tag = Mockito)
announcement - icon

Mocking is an essential part of unit testing, and the Mockito library makes it easy to write clean and intuitive unit tests for your Java code.

Get started with mocking and improve your application tests using our Mockito guide:

Download the eBook

eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
announcement - icon

Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

>> Download the eBook

eBook – Reactive – NPI EA (cat=Reactive)
announcement - icon

Spring 5 added support for reactive programming with the Spring WebFlux module, which has been improved upon ever since. Get started with the Reactor project basics and reactive programming in Spring Boot:

>> Join Pro and download the eBook

eBook – Java Streams – NPI EA (cat=Java Streams)
announcement - icon

Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

>> Join Pro and download the eBook

eBook – Jackson – NPI EA (cat=Jackson)
announcement - icon

Do JSON right with Jackson

Download the E-book

eBook – HTTP Client – NPI EA (cat=Http Client-Side)
announcement - icon

Get the most out of the Apache HTTP Client

Download the E-book

eBook – Maven – NPI EA (cat = Maven)
announcement - icon

Get Started with Apache Maven:

Download the E-book

eBook – Persistence – NPI EA (cat=Persistence)
announcement - icon

Working on getting your persistence layer right with Spring?

Explore the eBook

eBook – RwS – NPI EA (cat=Spring MVC)
announcement - icon

Building a REST API with Spring?

Download the E-book

Course – LS – NPI EA (cat=Jackson)
announcement - icon

Get started with Spring and Spring Boot, through the Learn Spring course:

>> LEARN SPRING
Course – RWSB – NPI EA (cat=REST)
announcement - icon

Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

>> The New “REST With Spring Boot”

Course – LSS – NPI EA (cat=Spring Security)
announcement - icon

Yes, Spring Security can be complex, from the more advanced functionality within the Core to the deep OAuth support in the framework.

I built the security material as two full courses - Core and OAuth, to get practical with these more complex scenarios. We explore when and how to use each feature and code through it on the backing project.

You can explore the course here:

>> Learn Spring Security

Course – LSD – NPI EA (tag=Spring Data JPA)
announcement - icon

Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.

Get started with Spring Data JPA through the guided reference course:

>> CHECK OUT THE COURSE

Partner – Moderne – NPI EA (cat=Spring Boot)
announcement - icon

Refactor Java code safely — and automatically — with OpenRewrite.

Refactoring big codebases by hand is slow, risky, and easy to put off. That’s where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.

Each month, the creators and maintainers of OpenRewrite at Moderne run live, hands-on training sessions — one for newcomers and one for experienced users. You’ll see how recipes work, how to apply them across projects, and how to modernize code with confidence.

Join the next session, bring your questions, and learn how to automate the kind of work that usually eats your sprint time.

Course – LJB – NPI EA (cat = Core Java)
announcement - icon

Code your way through and build up a solid, practical foundation of Java:

>> Learn Java Basics

1. Introduction

In this tutorial, we will look at the performance of two Java methods: System.arraycopy() and Arrays.copyOf(). First, we’ll analyze their implementations. Second, we’ll run some benchmarks to compare their average execution times.

2. Performance of System.arraycopy()

System.arraycopy() copies the array contents from the source array, beginning at the specified position, to the designated position in the destination array. Additionally, before copying, the JVM checks that both source and destination types are the same.

When estimating the performance of System.arraycopy(), we need to keep in mind that it is a native method. Native methods are implemented in platform-dependent code (typically C) and accessed through JNI calls.

Because native methods are already compiled for a specific architecture, we can’t precisely estimate the runtime complexity. Moreover, their complexities can differ between platforms. We can be sure that the worst-case scenario is O(N). However, the processor can copy contiguous blocks of memory one block at a time (memcpy() in C), so actual results can be better.

We can view only the signature of System.arraycopy():

public static native void arraycopy(Object src, int srcPos, Object dest, int destPos, int length);

3. Performance of Arrays.copyOf()

Arrays.copyOf() offers additional functionality on top of what System.arraycopy() implements. While System.arraycopy() simply copies values from the source array to the destination, Arrays.copyOf() also creates new array. If necessary, it will truncate or pad the content.

The second difference is that the new array can be of a different type than the source array. If that’s the case, the JVM will use reflection, which adds performance overhead.

When called with an Object array, copyOf() will invoke the reflective Array.newInstance() method:

public static <T,U> T[] copyOf(U[] original, int newLength, Class<? extends T[]> newType) {
    @SuppressWarnings("unchecked")
    T[] copy = ((Object)newType == (Object)Object[].class) 
      ? (T[]) new Object[newLength]
      : (T[]) Array.newInstance(newType.getComponentType(), newLength);
    System.arraycopy(original, 0, copy, 0, Math.min(original.length, newLength));
    return copy;
}

However, when invoked with primitives as parameters, it doesn’t need reflection to create a destination array:

public static int[] copyOf(int[] original, int newLength) {
    int[] copy = new int[newLength];
    System.arraycopy(original, 0, copy, 0, Math.min(original.length, newLength));
    return copy;
}

We can clearly see that currently, the implementation of Arrays.copyOf() calls System.arraycopy(). As a result, runtime execution should be similar. To confirm our suspicion, we will benchmark the above methods with both primitives and objects as parameters.

4. Code Benchmark

Let’s check which copy method is faster with the real test. To do that, we’ll use JMH (Java Microbenchmark Harness). We’ll create a simple test in which we will copy values from one array to the other using both System.arraycopy() and Arrays.copyOf().

We’ll create two test classes. In one test class, we will test primitives, and in the second, we’ll test objects. The benchmark configuration will be the same in both cases.

4.1. Benchmark Configuration

First, let’s define our benchmark parameters:

@BenchmarkMode(Mode.AverageTime)
@State(Scope.Thread)
@OutputTimeUnit(TimeUnit.NANOSECONDS)
@Warmup(iterations = 10)
@Fork(1)
@Measurement(iterations = 100)

Here, we specify that we want to run our benchmark only once, with 10 warmup iterations and 100 measurement iterations.  Moreover, we would like to calculate the average execution time and collect the results in nanoseconds. To obtain exact results, it is important to perform at least five warmup iterations.

4.2. Parameters Setup

We need to be sure that we measure only the time spent on method execution and not on array creation. To do that, we’ll initialize the source array in the benchmark setup phase. It’s a good idea to run the benchmark with both big and small numbers.

In the setup method, we simply initialize an array with random parameters. First, we define the benchmark setup for primitives:

public class PrimitivesCopyBenchmark {

    @Param({ "10", "1000000" })
    public int SIZE;

    int[] src;

    @Setup
    public void setup() {
        Random r = new Random();
        src = new int[SIZE];

        for (int i = 0; i < SIZE; i++) {
            src[i] = r.nextInt();
        }
    }
}

The same setup follows for the objects benchmark:

public class ObjectsCopyBenchmark {

    @Param({ "10", "1000000" })
    public int SIZE;
    Integer[] src;

    @Setup
    public void setup() {
        Random r = new Random();
        src = new Integer[SIZE];

        for (int i = 0; i < SIZE; i++) {
            src[i] = r.nextInt();
        }
    }
}

4.3. Tests

We define two benchmarks that will execute copy operations. First, we’ll call System.arraycopy():

@Benchmark
public Integer[] systemArrayCopyBenchmark() {
    Integer[] target = new Integer[SIZE];
    System.arraycopy(src, 0, target, 0, SIZE);
    return target;
}

To make both tests equivalent, we’ve included target array creation in the benchmark.

Second, we’ll measure the performance of Arrays.copyOf():

@Benchmark
public Integer[] arraysCopyOfBenchmark() {
    return Arrays.copyOf(src, SIZE);
}

4.4. Results

After running our test, let’s look at the results:

Benchmark                                          (SIZE)  Mode  Cnt        Score       Error  Units
ObjectsCopyBenchmark.arraysCopyOfBenchmark             10  avgt  100        8.535 ±     0.006  ns/op
ObjectsCopyBenchmark.arraysCopyOfBenchmark        1000000  avgt  100  2831316.981 ± 15956.082  ns/op
ObjectsCopyBenchmark.systemArrayCopyBenchmark          10  avgt  100        9.278 ±     0.005  ns/op
ObjectsCopyBenchmark.systemArrayCopyBenchmark     1000000  avgt  100  2826917.513 ± 15585.400  ns/op
PrimitivesCopyBenchmark.arraysCopyOfBenchmark          10  avgt  100        9.172 ±     0.008  ns/op
PrimitivesCopyBenchmark.arraysCopyOfBenchmark     1000000  avgt  100   476395.127 ±   310.189  ns/op
PrimitivesCopyBenchmark.systemArrayCopyBenchmark       10  avgt  100        8.952 ±     0.004  ns/op
PrimitivesCopyBenchmark.systemArrayCopyBenchmark  1000000  avgt  100   475088.291 ±   726.416  ns/op

As we can see, the performance of System.arraycopy() and Arrays.copyOf() differs on the range of measurement error for both primitives and Integer objects. It isn’t surprising, considering the fact that Arrays.copyOf() uses System.arraycopy() under the hood. Since we used two primitive int arrays, no reflective calls were made.

We need to remember that JMH gives just a rough estimation of execution times, and the results can differ between machines and JVMs.

5. Intrinsic Candidates

It’s worth noting that in HotSpot JVM 16, both Arrays.copyOf() and System.arraycopy() are marked as @IntrinsicCandidate. This annotation means that the annotated method can be replaced with faster low-level code by the HotSpot VM.

The JIT compiler can (for some or all architectures) substitute intrinsic methods with machine-dependent, greatly optimized instructions. Since native methods are a black box to the compiler, with significant call overhead, the performance of both methods can be better. Again, such performance gains aren’t guaranteed.

6. Conclusion

In this example, we’ve looked into the performance of System.arraycopy() and Arrays.copyOf(). First, we analyzed the source code of both methods. Second, we set up an example benchmark to measure their average execution times.

As a result, we have confirmed our theory that because Arrays.copyOf() uses System.arraycopy(), the performance of both methods is very similar.

The code backing this article is available on GitHub. Once you're logged in as a Baeldung Pro Member, start learning and coding on the project.
Baeldung Pro – NPI EA (cat = Baeldung)
announcement - icon

Baeldung Pro comes with both absolutely No-Ads as well as finally with Dark Mode, for a clean learning experience:

>> Explore a clean Baeldung

Once the early-adopter seats are all used, the price will go up and stay at $33/year.

eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
announcement - icon

The Apache HTTP Client is a very robust library, suitable for both simple and advanced use cases when testing HTTP endpoints. Check out our guide covering basic request and response handling, as well as security, cookies, timeouts, and more:

>> Download the eBook

eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
announcement - icon

Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

>> Download the eBook

eBook – Java Streams – NPI EA (cat=Java Streams)
announcement - icon

Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

>> Join Pro and download the eBook

eBook – Persistence – NPI EA (cat=Persistence)
announcement - icon

Working on getting your persistence layer right with Spring?

Explore the eBook

Course – LS – NPI EA (cat=REST)

announcement - icon

Get started with Spring Boot and with core Spring, through the Learn Spring course:

>> CHECK OUT THE COURSE

Partner – Moderne – NPI EA (tag=Refactoring)
announcement - icon

Modern Java teams move fast — but codebases don’t always keep up. Frameworks change, dependencies drift, and tech debt builds until it starts to drag on delivery. OpenRewrite was built to fix that: an open-source refactoring engine that automates repetitive code changes while keeping developer intent intact.

The monthly training series, led by the creators and maintainers of OpenRewrite at Moderne, walks through real-world migrations and modernization patterns. Whether you’re new to recipes or ready to write your own, you’ll learn practical ways to refactor safely and at scale.

If you’ve ever wished refactoring felt as natural — and as fast — as writing code, this is a good place to start.

eBook Jackson – NPI EA – 3 (cat = Jackson)