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Core Java-Collection Interface Interview Questions

Contents

Table of Contents

    Contents
    Core Java-Collection Interface Interview Questions

    Core Java-Collection Interface Interview Questions

    ๐Ÿงบ Different Collection Types in Java

    The Java Collections Framework (JCF) provides a set of interfaces and classes to store, manipulate, and process groups of objects efficiently.
    These collections are designed to handle various types of data operations such as searching, sorting, insertion, deletion, and synchronization.


    ๐Ÿ”น 1. List

    • Definition: An ordered collection that allows duplicate elements.

    • Common Implementations:

      • ArrayList โ†’ Fast random access, backed by a dynamic array.

      • LinkedList โ†’ Fast insertion/deletion, implemented using a doubly linked list.

    • Example:

      List<String> names = new ArrayList<>(); names.add("Alice"); names.add("Bob"); names.add("Alice"); // Duplicates allowed

    ๐Ÿ”น 2. Set

    • Definition: A collection that does not allow duplicates.

    • Common Implementations:

      • HashSet โ†’ Unordered set, based on hash table.

      • LinkedHashSet โ†’ Maintains insertion order.

      • TreeSet โ†’ Sorted set, orders elements based on their natural order or a comparator.

    • Example:

      Set<Integer> ids = new TreeSet<>(); ids.add(3); ids.add(1); ids.add(2); // Output: [1, 2, 3]

    ๐Ÿ”น 3. Queue

    • Definition: A FIFO (First In, First Out) data structure used to hold elements before processing.

    • Common Implementations:

      • PriorityQueue โ†’ Orders elements according to their priority or natural ordering.

      • LinkedList โ†’ Can also be used as a queue implementation.

    • Example:

      Queue<String> tasks = new PriorityQueue<>(); tasks.add("Low"); tasks.add("High");

    ๐Ÿ”น 4. BlockingQueue

    • Definition: A thread-safe queue used in concurrent programming, commonly for the Producer-Consumer pattern.

    • Common Implementations:

      • ArrayBlockingQueue

      • LinkedBlockingQueue

    • Example:

      BlockingQueue<String> queue = new LinkedBlockingQueue<>(); queue.put("Task 1"); queue.take();

    ๐Ÿ”น 5. Map

    • Definition: A collection that stores key-value pairs, where each key is unique.

    • Common Implementations:

      • HashMap โ†’ Unordered, fast lookup by key.

      • LinkedHashMap โ†’ Maintains insertion order.

      • TreeMap โ†’ Sorted map, orders entries by key.

    • Example:

      Map<Integer, String> users = new HashMap<>(); users.put(1, "Alice"); users.put(2, "Bob");

    ๐Ÿง  Summary

    Collection TypeAllows DuplicatesOrderedSortedCommon Implementations
    Listโœ… Yesโœ… YesโŒ NoArrayList, LinkedList
    SetโŒ NoโŒ Noโœ… (in TreeSet)HashSet, LinkedHashSet, TreeSet
    Queueโœ… Yesโœ… Yes (FIFO)โœ… (in PriorityQueue)LinkedList, PriorityQueue
    BlockingQueueโœ… Yesโœ… YesโŒ NoArrayBlockingQueue, LinkedBlockingQueue
    MapโŒ (Unique Keys)Dependsโœ… (in TreeMap)HashMap, LinkedHashMap, TreeMap

    โœ… In short:

    • List โ†’ Ordered, allows duplicates.

    • Set โ†’ No duplicates.

    • Queue / BlockingQueue โ†’ FIFO, used for processing tasks.

    • Map โ†’ Key-value pairs, unique keys.

    Together, these collection types form the backbone of the Java Collections Framework, making data handling efficient, flexible, and powerful.

    โš”๏ธ ArrayList vs LinkedList in Java

    Both ArrayList and LinkedList are implementations of the List interface in the Java Collections Framework, but they differ significantly in their internal structure, performance, and use cases.


    ๐Ÿงฉ Internal Implementation

    • ArrayList:
      Backed by a dynamic array.
      Elements are stored contiguously in memory, similar to a standard array, but the size grows automatically when needed.

    • LinkedList:
      Implemented as a doubly linked list.
      Each element is a node that holds the data and references (prev and next) to neighboring nodes.


    โš™๏ธ Performance Comparison

    OperationArrayListLinkedList
    Access (get by index)โœ… O(1) โ€” Direct access via indexโŒ O(n) โ€” Must traverse nodes sequentially
    Insertion (at end)โœ… O(1) (amortized)โœ… O(1) (add at tail)
    Insertion (in middle)โŒ O(n) โ€” Requires shifting elementsโœ… O(1) if position is known (after traversal)
    Deletion (by index)โŒ O(n) โ€” Elements must be shiftedโœ… O(1) if node reference is known
    Memory OverheadLowHigh (extra space for pointers)

    ๐Ÿง  Key Differences

    1. Data Storage:

      • ArrayList โ†’ Uses a resizable array.

      • LinkedList โ†’ Uses nodes connected via pointers.

    2. Insertion & Deletion:

      • ArrayList โ†’ Slower for insertions/deletions (shifting required).

      • LinkedList โ†’ Faster for insertions/deletions once node position is known.

    3. Random Access:

      • ArrayList โ†’ Very fast (O(1)), direct index-based access.

      • LinkedList โ†’ Slow (O(n)), must traverse nodes sequentially.

    4. Memory Usage:

      • ArrayList โ†’ More memory-efficient.

      • LinkedList โ†’ Higher overhead (due to node pointers).


    ๐Ÿ’ก When to Use

    ScenarioRecommended Collection
    Frequent reads / lookupsโœ… ArrayList
    Frequent insertions / deletionsโœ… LinkedList
    Memory-sensitive applicationsโœ… ArrayList
    Applications implementing FIFO / Deque logicโœ… LinkedList

    ๐Ÿงพ Example

    List<String> arrayList = new ArrayList<>(); arrayList.add("A"); arrayList.add("B"); System.out.println(arrayList.get(1)); // Fast random access List<String> linkedList = new LinkedList<>(); linkedList.add("X"); linkedList.add("Y"); linkedList.remove(0); // Efficient removal

    ๐Ÿš€ Summary

    FeatureArrayListLinkedList
    Internal StructureDynamic arrayDoubly linked list
    Random Accessโœ… FastโŒ Slow
    Insertion / DeletionโŒ Slower (shifting)โœ… Faster (pointer update)
    Memory Usageโœ… LowerโŒ Higher
    Best Suited ForRead-heavy operationsWrite-heavy operations

    โœ… In short:

    • Use ArrayList for read-intensive applications.

    • Use LinkedList for frequent insertions or deletions.

    Both are powerful, but the right choice depends on your use case and performance needs.

    ๐Ÿ“Š Difference Between Vector vs ArrayList and Hashtable vs HashMap

    FeatureVectorArrayListHashtableHashMap
    Introduced InLegacy (Java 1.0)Java 1.2 (Collections Framework)Legacy (Java 1.0)Java 1.2 (Collections Framework)
    Synchronizationโœ… Synchronized (Thread-safe)โŒ Not synchronized (Not thread-safe)โœ… Synchronized (Thread-safe)โŒ Not synchronized (Not thread-safe)
    PerformanceSlower (due to synchronization overhead)Faster (no synchronization)Slower (due to synchronization)Faster (no synchronization)
    Thread SafetyBuilt-in thread safetyMust be handled manuallyBuilt-in thread safetyMust be handled manually
    Usage in Modern JavaRarely used (legacy)Widely usedRarely used (legacy)Widely used
    Null Values Allowed?โœ… Yesโœ… YesโŒ Noโœ… Yes (1 null key, multiple null values)
    Iteration TypeEnumeration (legacy)Iterator / ListIteratorEnumerator (legacy)Iterator
    Replacement / AlternativeArrayList or CopyOnWriteArrayListโ€”HashMap or ConcurrentHashMapโ€”

    โœ… In summary:

    • Vector and Hashtable are thread-safe but slower (legacy classes).

    • ArrayList and HashMap are faster and modern, but not synchronized by default โ€” thread safety must be added manually when required.


    ๐Ÿงฉ Difference Between HashMap and LinkedHashMap

    FeatureHashMapLinkedHashMap
    Order of ElementsโŒ Does not maintain any order of elementsโœ… Maintains insertion order (or access order if specified)
    Internal ImplementationUses a hash tableUses a hash table + doubly linked list to maintain order
    PerformanceSlightly faster (no ordering overhead)Slightly slower due to maintaining order
    Iteration OrderUnpredictable (depends on hash values)Predictable โ€” elements returned in insertion order
    Use CaseWhen order doesnโ€™t matter and performance is the priorityWhen you need both hashing and predictable iteration order
    Null Keys/ValuesAllows one null key and multiple null valuesAllows one null key and multiple null values
    Example{3=Tom, 1=John, 2=Lisa} โ†’ order not guaranteed{3=Tom, 1=John, 2=Lisa} โ†’ order maintained as inserted

    โœ… In short:

    • Use HashMap when insertion order doesnโ€™t matter and performance is key.

    • Use LinkedHashMap when you need a predictable iteration order along with fast lookups.

    ๐Ÿง  How to Create a Generic Class in Java

    Generics allow you to create classes, interfaces, and methods that can operate on different data types while providing type safety at compile time.


    ๐Ÿงฉ Defining a Generic Class

    To define a generic class, specify a type parameter inside angle brackets (<>) right after the class name.

    class Box<T> { private T value; public Box(T value) { this.value = value; } public T getValue() { return value; } public void setValue(T value) { this.value = value; } }

    Explanation:

    • T is a type parameter (a placeholder for any data type).

    • By convention:

      • T โ†’ Type

      • E โ†’ Element (used in collections)

      • K, V โ†’ Key, Value (used in maps)

    You can use this type placeholder in:

    • Fields

    • Method parameters

    • Return types


    โš™๏ธ Using a Generic Class

    When you create an instance, you specify the type that replaces the placeholder T:

    public class Main { public static void main(String[] args) { Box<Integer> intBox = new Box<>(123); Box<String> strBox = new Box<>("Hello Generics"); System.out.println(intBox.getValue()); // Output: 123 System.out.println(strBox.getValue()); // Output: Hello Generics } }

    Here:

    • Box<Integer> โ†’ T is replaced with Integer

    • Box<String> โ†’ T is replaced with String

    This ensures type safety โ€” you canโ€™t accidentally assign a String to a Box<Integer>.


    โœ… Benefits of Generic Classes

    FeatureDescription
    Type SafetyPrevents runtime ClassCastException by catching type errors at compile time.
    Code ReusabilityOne generic class works with multiple data types.
    Clean and Maintainable CodeEliminates redundant type-specific implementations.

    ๐Ÿš€ In Short:

    • Define a generic type placeholder using <T> next to the class name.

    • Use T in fields, parameters, and return types.

    • Replace T with a specific type when creating an object.

    Generics make your code flexible, reusable, and safe โ€” one class can handle any type while maintaining compile-time type checking.

    โš™๏ธ Fail-Fast vs Fail-Safe Iterators in Java

    Iterators are used to traverse elements in collections.
    Based on how they behave when a collection is modified during iteration, they are categorized as Fail-Fast or Fail-Safe.


    ๐Ÿงฉ Fail-Fast Iterators

    • Used By: Traditional collection classes like ArrayList, HashSet, and HashMap.

    • When you get an iterator from these collections and modify the collection (add/remove elements) while iterating, the iterator immediately throws a ConcurrentModificationException.

    • This mechanism is designed to fail immediately to prevent inconsistent behavior.

    ๐Ÿ” Example:

    List<String> list = new ArrayList<>(); list.add("A"); list.add("B"); for (String s : list) { list.remove("A"); // โŒ Throws ConcurrentModificationException }

    ๐Ÿงฉ Fail-Safe Iterators

    • Used By: Concurrent collection classes such as CopyOnWriteArrayList, ConcurrentHashMap, and CopyOnWriteArraySet.

    • These iterators do not throw exceptions when the collection is modified during iteration.

    • They operate on a cloned copy (snapshot) of the collection, so modifications do not affect the iterator.

    ๐Ÿ” Example:

    CopyOnWriteArrayList<String> list = new CopyOnWriteArrayList<>(); list.add("A"); list.add("B"); for (String s : list) { list.add("C"); // โœ… No exception, allowed }

    ๐Ÿ“Š Comparison: Fail-Fast vs Fail-Safe

    FeatureFail-Fast IteratorFail-Safe Iterator
    Used InArrayList, HashSet, HashMapCopyOnWriteArrayList, ConcurrentHashMap
    Throws Exceptionโœ… ConcurrentModificationException if modified during iterationโŒ No exception thrown
    Underlying StructureWorks on the original collectionWorks on a cloned copy (snapshot)
    Concurrent ModificationsNot allowedAllowed
    PerformanceFaster (no extra memory overhead)Slower (creates a copy of the collection)
    Thread SafetyNot thread-safeThread-safe
    Use CaseSingle-threaded or controlled modificationsMulti-threaded environments

    โœ… In short:

    • Fail-Fast Iterators โ†’ Throw exception on concurrent modification (unsafe but faster).

    • Fail-Safe Iterators โ†’ Allow concurrent modification safely (slightly slower but thread-safe).

    If you need thread safety, use fail-safe iterators from concurrent collections.
    If you need speed and are sure no concurrent modification will happen, fail-fast iterators are sufficient.