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Partner – Orkes – NPI EA (tag=Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

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eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
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eBook – Mockito – NPI EA (tag = Mockito)
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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.

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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eBook – Java Streams – NPI EA (cat=Java Streams)
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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.

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Partner – LambdaTest – NPI EA (cat=Testing)
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1. Overview

In this tutorial, we’re going to focus on the differences between the ArrayList and Vector classes. They both belong to the Java Collections Framework and implement the java.util.List interface.

However, these classes have significant differences in their implementations.

2. What’s Different?

As a quick start, let’s present the key differences of ArrayList and Vector. Then, we’ll discuss some of the points in more detail:

  • synchronization – The first major difference between these two. Vector is synchronized and ArrayList isn’t.
  • size growth – Another difference between the two is the way they resize while reaching their capacity. The Vector doubles its size. In contrast, ArrayList increases only by half of its length
  • iteration – And Vector can use Iterator and Enumeration to traverse over the elements. On the other hand, ArrayList can only use Iterator.
  • performance – Largely due to synchronization, Vector operations are slower when compared to ArrayList
  • framework – Also, ArrayList is a part of the Collections framework and was introduced in JDK 1.2. Meanwhile, Vector is present in the earlier versions of Java as a legacy class.

3. Vector

As we already have an extended guide about ArrayList, we won’t discuss its API and capabilities here. On the other hand, we’ll present some core details about Vector.

Simply put, a Vector is a resizable array. It can grow and shrink as we add or remove the elements.

We can create a vector in typical fashion:

Vector<String> vector = new Vector<>();

The default constructor creates an empty Vector with an initial capacity of 10.

Let’s add a few values:

vector.add("baeldung");
vector.add("Vector");
vector.add("example");

And finally, let’s iterate through the values by using the Iterator interface:

Iterator<String> iterator = vector.iterator();
while (iterator.hasNext()) {
    String element = iterator.next();
    // ...
}

Or, we can traverse the Vector using Enumeration:

Enumeration e = vector.elements();
while(e.hasMoreElements()) {
    String element = e.nextElement();
    // ... 
}

Now, let’s explore some of their unique features in more depth.

4. Concurrency

We’ve already mentioned that ArrayList and Vector are different in their concurrency strategy, but let’s take a closer look. If we were to dive into Vector’s method signatures, we’d see that each has the synchronized keyword:

public synchronized E get(int index)

Simply put, this means that only one thread can access a given vector at a time.

Really, though, this operation-level synchronizations needs to be overlayed anyway with our own synchronization for compound operations.

So in contrast, ArrayList takes a different approach. Its methods are not synchronized and that concern is separated out into classes that are devoted to concurrency.

For example, we can use CopyOnWriteArrayList or Collections.synchronizedList to get a similar effect to Vector:

vector.get(1); // synchronized
Collections.synchronizedList(arrayList).get(1); // also synchronized

5. Performance

As we already discussed above, Vector is synchronized which causes a direct impact on performance.

To see the performance difference between Vector versus ArrayList operations, let’s write a simple JMH benchmark test.

In the past, we’ve looked at the time complexity of ArrayList‘s operations, so let’s add the test cases for Vector.

First, let’s test the get() method:

@Benchmark
public Employee testGet(ArrayListBenchmark.MyState state) {
    return state.employeeList.get(state.employeeIndex);
}

@Benchmark
public Employee testVectorGet(ArrayListBenchmark.MyState state) {
    return state.employeeVector.get(state.employeeIndex);
}

We’ll configure JMH to use three threads and 10 warmup iterations.

And, let’s report on the average time per operation at the nanosecond level:

Benchmark                         Mode  Cnt   Score   Error  Units
ArrayListBenchmark.testGet        avgt   20   9.786 ± 1.358  ns/op
ArrayListBenchmark.testVectorGet  avgt   20  37.074 ± 3.469  ns/op

We can see that ArrayList#get works about three times faster than Vector#get.

Now, let’s compare the results of the contains() operation:

@Benchmark
public boolean testContains(ArrayListBenchmark.MyState state) {
    return state.employeeList.contains(state.employee);
}

@Benchmark
public boolean testContainsVector(ArrayListBenchmark.MyState state) {
    return state.employeeVector.contains(state.employee);
}

And print the results out:

Benchmark                              Mode  Cnt  Score   Error  Units
ArrayListBenchmark.testContains        avgt   20  8.665 ± 1.159  ns/op
ArrayListBenchmark.testContainsVector  avgt   20  36.513 ± 1.266  ns/op

As we can see, for the contains() operation, the performance time for Vector is much longer than ArrayList.

6. Summary

In this article, we had a look at the differences between the Vector and ArrayList classes in Java. Additionally, we also presented Vector features in more details.

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

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

Partner – Orkes – NPI EA (cat = Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

Partner – Orkes – NPI EA (tag = Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

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

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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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)
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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)
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Working on getting your persistence layer right with Spring?

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Course – LS – NPI EA (cat=REST)

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