Greetings, aspiring coders! Today, we're going to delve deep into the complexities of data structures, specifically the TreeSet
from Java's Collection Framework, and explore how to handle queries efficiently. This is a common problem, often encountered in numerous data science and algorithmic problems. So let's gear up to unravel the mysteries of TreeSet
operations and get our hands dirty with some interactive problem-solving!
Before delving into the task, let's understand what a TreeSet
is and why we would use it. TreeSet
is a data structure in Java's Collection Framework that stores unique elements while maintaining sorted order.
Advantages of using TreeSet
:
first()
) or maximum (using last()
) values will be a constant-time operation, i.e., , as they are always at the start or end of the set.TreeSet
, and the operations have a logarithmic time complexity .Understanding these operations can help us utilize TreeSet
efficiently for our problem.
We are tasked with designing a Java function named processQueries
that can process a series of distinct requests or queries efficiently. The queries comprise a list of two integers — the type of operation and the operand.
There are three types of operations we'll handle:
The function should return the current size of the set when the operation type is 0 or 1, and the smallest possible integer when the operation type is 2. If such an integer does not exist, the function should return -1
.
Given a list of queries:
Java1List<int[]> queries = Arrays.asList( 2 new int[]{0, 10}, 3 new int[]{2, 10}, 4 new int[]{0, 20}, 5 new int[]{1, 10}, 6 new int[]{2, 10} 7);
The function should return: [1, 10, 2, 1, 20]
To start, we'll initialize our TreeSet
from Java's Collection Framework. We'll also create an empty ArrayList
labeled results
to store the outputs for each request.
Java1import java.util.*; 2 3public class EfficientQueries { 4 public static List<Integer> processQueries(List<int[]> queries) { 5 TreeSet<Integer> sortedSet = new TreeSet<>(); 6 List<Integer> results = new ArrayList<>();
Next, we utilize a for
loop to traverse through all the queries. For an operation type of 0 or 1, we either add or remove the provided value from our set. Subsequently, we append the size of the current set to results
.
Java1import java.util.*; 2 3public class EfficientQueries { 4 public static List<Integer> processQueries(List<int[]> queries) { 5 TreeSet<Integer> sortedSet = new TreeSet<>(); 6 List<Integer> results = new ArrayList<>(); 7 8 for (int[] query : queries) { 9 int operation = query[0]; 10 int value = query[1]; 11 12 if (operation == 0) { 13 sortedSet.add(value); 14 } else if (operation == 1) { 15 sortedSet.remove(value); 16 } 17 18 results.add(sortedSet.size()); 19 } 20 return results; 21 } 22}
Lastly, when the operation type is 2, we need to find the minimum bound, i.e., the smallest value greater than or equal to our provided value in the set. We perform this using the TreeSet.ceiling
operation. If such a value does not exist, we append -1
to results
.
Java1import java.util.*; 2 3public class EfficientQueries { 4 public static List<Integer> processQueries(List<int[]> queries) { 5 TreeSet<Integer> sortedSet = new TreeSet<>(); 6 List<Integer> results = new ArrayList<>(); 7 8 for (int[] query : queries) { 9 int operation = query[0]; 10 int value = query[1]; 11 12 if (operation == 0) { 13 sortedSet.add(value); 14 results.add(sortedSet.size()); 15 } else if (operation == 1) { 16 sortedSet.remove(value); 17 results.add(sortedSet.size()); 18 } else if (operation == 2) { 19 Integer result = sortedSet.ceiling(value); 20 if (result != null) { 21 results.add(result); 22 } else { 23 results.add(-1); 24 } 25 } 26 } 27 return results; 28 } 29 30 public static void main(String[] args) { 31 List<int[]> queries = Arrays.asList( 32 new int[]{0, 10}, 33 new int[]{2, 10}, 34 new int[]{0, 20}, 35 new int[]{1, 10}, 36 new int[]{2, 10} 37 ); 38 39 List<Integer> result = processQueries(queries); 40 for (int res : result) { 41 System.out.print(res + " "); 42 } // Output: 1 10 2 1 20 43 } 44}
Well done! You've successfully navigated the complexities of TreeSet
operations and developed an understanding of how to handle various types of queries efficiently using Java. Resolving the problem involved incorporating Java Collection Framework data structures, conditional statements, and utilizing methods like ceiling
within a sorted set.
The next step in your learning journey involves tackling similar challenges on your own using the concepts that you've just learned. Be sure to review this lesson as needed, and always remember: practice and apply these concepts. Happy coding!