If you’re interested in programming languages, you’ve probably heard of Java. Besides Swift we have already mentioned in the previous blog, Java is also one of the programming languages for developers. You will surely have a lot of questions about this language. So in today’s topic, we will introduce you to Java data structures. Thus, let’s discover with the ArrowHitech team right now!
What is Java?
Before we learn about Java Data Structures, let us help you understand what Java means.
Java is a high level programing language. It follows the WORA principle. You can run a java program as many times as you want on a java supported platform after it is compiled.
What are Data Structures?
A Java data structure is a particular way of organizing data in a computer so that it can be used effectively. For example, you might want to store data in
- Linear fashion – Array/ Linked List
- One on the other – Stacks
- Hierarchical Fashion – TreesConnect Nodes – Graph
List of Data Structures using Java
Java array is an object which contains elements of a similar data type. Additionally, the elements of an array are stored in a contiguous memory location. It is a Java data structure where we store similar elements. We can store only a fixed set of elements in a Java array.
In Java, array is an object of a dynamically generated class. Moreover, we can store primitive values or objects in an array in Java. In addition to, Java provides the feature of anonymous arrays which is not available in C/C++.
There are some advantages following:
- Random access
- Easy sorting and iteration
- Replacement of multiple variables
Demonstration of Array
Layer LinkedList in java is a class that inherits AbstractSequentialList class and implements List, Queue Interface in Collections Framework. So, it will have some special features and methods similar to List, Queue. Layer LinkedList in java uses a dual linked list structure to store elements.
|– Dynamic in size|
– No wastage as capacity and size is always equal
– Easy insertion and deletion as 1 link manipulation is required
– Efficient memory allocation
|– If head Node is lost, the linked list is lost|
– No random access possible
3. Hash table
The Hash table, map, or dictionary is one of the most versatile data structures I have seen. I happen to use Map every now and then, and fortunately, Java API provides several implementations of Map data structure for different needs like HashMap, Hashtable, and ConcurrentHashMap.
In addition to, it’s also known as map or dictionary data structure, you might have heard about Dictionary in Python, which is the same as Map in Java. Besides, A map provides you with O(1) functionality for getting a value back if you know the key, which is a very natural use case in most Java applications. So, you can further check the Algorithms and Data Structures – Part 1 and 2 courses on Pluralsight to learn more about the Hash table, map, or dictionary data structure in Java.
Java API also provides a Stack data structure implemented as java.util.Stack. This class extends the legacy Vector class for storing elements. Since the stack is a LIFO (Last In, First Out) data structure, it provides a push() method to insert objects and a pop() method to consume elements from the top.
In addition, the stack is quite popular in different programming tasks like evaluating expressions. Though, don’t confuse Stack data structure with stack memory, which is used to store local variables and method frames in Java.
The queue Java data structure is also available in the collection framework as an interface and few concrete implementations like ArrayBlockingQueue, LinkedList, …
Though you can also implement Queue by using LinkedList or array, it’s much better to use existing classes, which are tried and tested.
However, this not only reduces development time but also the overall code quality and performance of your application. So, BlockingQueue is a thread-safe extension of the Queue interface and can use to implement producer-consumer patterns in Java.
Set in Java is a special data structure, which doesn’t allow duplicates. It’s a good data structure to store unique elements like Ids, for example, OrderId, traded, … Whenever you are storing data that needs to be unique then you can use Set data structure. However, if you try to insert duplicates Set will not accept it and its method will return false to indicate that insertion has failed.
Thus, Java Collection API provides a couple of implementations of Sets like HashSet, TreeSet, which is more than enough for most situations. Those collections, apart from the beginning set, also provides sorting and insertion order.
All in all, it’s all about some of the most essential Java Data Structures for developers. In addition to these basic Java data structures, there are many other things in the collection framework, including concurrent data structures like BlockingQueue and ConcurrentHashMap. For a Java developer of any level of experience, it’s good to explore the new collection classes introduced in Java 5 and 6 to make better use of the Java API. So, if you are more interested in Java or Java data structures, you can visit HERE to know more.