Why Trapping Rain Water Problem in DSA Java?

The Big Idea

What if you could instantly know how much rainwater your city streets hold without guessing?

The Scenario

Imagine you have a row of buildings with different heights after a rainstorm. You want to find out how much water is trapped between these buildings. Doing this by looking at each building and guessing how much water it holds is like trying to count raindrops one by one on a big roof -- slow and confusing.

The Problem

Manually checking each gap between buildings to calculate trapped water is slow and easy to mess up. You might forget to consider the tallest buildings on either side or misjudge how water flows, leading to wrong answers and frustration.

The Solution

The Trapping Rain Water Problem uses a smart way to look at the heights from both sides and quickly calculate trapped water without guessing. It uses two pointers or precomputed arrays to keep track of the tallest walls on each side, making the calculation fast and accurate.

Before vs After

✗ Before

int trappedWater = 0;
for (int i = 1; i < heights.length - 1; i++) {
  int leftMax = 0, rightMax = 0;
  for (int j = 0; j <= i; j++) leftMax = Math.max(leftMax, heights[j]);
  for (int j = i; j < heights.length; j++) rightMax = Math.max(rightMax, heights[j]);
  trappedWater += Math.min(leftMax, rightMax) - heights[i];
}

✓ After

int left = 0, right = heights.length - 1;
int leftMax = 0, rightMax = 0;
int trappedWater = 0;
while (left < right) {
  if (heights[left] < heights[right]) {
    if (heights[left] >= leftMax) leftMax = heights[left];
    else trappedWater += leftMax - heights[left];
    left++;
  } else {
    if (heights[right] >= rightMax) rightMax = heights[right];
    else trappedWater += rightMax - heights[right];
    right--;
  }
}

What It Enables

This problem's solution lets you quickly and correctly find how much water can be trapped in any shape of buildings or walls, saving time and avoiding mistakes.

Real Life Example

City planners use this idea to understand how water collects in streets and design better drainage systems to prevent flooding after heavy rain.

Key Takeaways

Manual counting of trapped water is slow and error-prone.

Using two pointers or precomputed max arrays speeds up the calculation.

This approach helps solve real-world water drainage and storage problems efficiently.

Practice

1. What does the Trapping Rain Water problem ask you to find given an array of heights?

easy

A. The total amount of water that can be trapped between the bars after raining

B. The maximum height of the bars in the array

C. The minimum height of the bars in the array

D. The number of bars that are taller than their neighbors

Solution

1. Step 1: Understand the problem statement

   The problem asks to calculate how much water can be trapped between bars of different heights after it rains.

2. Step 2: Identify the goal

   The goal is to find the total volume of trapped water, not just heights or counts of bars.

3. Final Answer:

   The total amount of water that can be trapped between the bars after raining -> Option A

4. Quick Check:

   Trapping rain water = total trapped water volume [OK]

Hint: Focus on trapped water volume, not bar heights [OK]

Common Mistakes:

• Confusing trapped water with max bar height
• Counting bars taller than neighbors instead of water
• Calculating minimum height instead of trapped water

2. Which of the following Java code snippets correctly initializes an array of heights for the Trapping Rain Water problem?

easy

A. int[] heights = new int(6) {4, 2, 0, 3, 2, 5};

B. int heights = [4, 2, 0, 3, 2, 5];

C. int[] heights = (4, 2, 0, 3, 2, 5);

D. int[] heights = {4, 2, 0, 3, 2, 5};

Solution

1. Step 1: Check Java array initialization syntax

   In Java, arrays are initialized with curly braces {} and type declaration like int[].

2. Step 2: Validate each option

   int[] heights = {4, 2, 0, 3, 2, 5}; uses correct syntax: int[] heights = {4, 2, 0, 3, 2, 5}; Options B, C, and D use invalid syntax.

3. Final Answer:

   int[] heights = {4, 2, 0, 3, 2, 5}; -> Option D

4. Quick Check:

   Java array init uses {} with type[] [OK]

Hint: Use curly braces {} with type[] to initialize arrays [OK]

Common Mistakes:

• Using square brackets [] without type[]
• Using parentheses () instead of braces {}
• Trying to initialize array with new int(size) and values together

3. What is the output of the following Java code snippet for trapping rain water?

int[] height = {0,1,0,2,1,0,1,3,2,1,2,1};
System.out.println(trap(height));

public static int trap(int[] height) {
    int left = 0, right = height.length - 1;
    int leftMax = 0, rightMax = 0, water = 0;
    while (left < right) {
        if (height[left] < height[right]) {
            if (height[left] >= leftMax) leftMax = height[left];
            else water += leftMax - height[left];
            left++;
        } else {
            if (height[right] >= rightMax) rightMax = height[right];
            else water += rightMax - height[right];
            right--;
        }
    }
    return water;
}

medium

A. 5

B. 6

C. 7

D. 8

Solution

1. Step 1: Understand two-pointer approach

   We use two pointers left and right, track max heights on both sides, and add trapped water where possible.

2. Step 2: Trace the code with given input

   For input {0,1,0,2,1,0,1,3,2,1,2,1}, the trapped water calculated is 6 units.

3. Final Answer:

   6 -> Option B

4. Quick Check:

   Two-pointer trap calculation = 6 [OK]

Hint: Use two pointers and track max heights from both ends [OK]

Common Mistakes:

• Not updating leftMax and rightMax correctly
• Adding negative water amounts
• Confusing left and right pointer movements

4. Identify the bug in this Java method for trapping rain water:

public static int trap(int[] height) {
    int left = 0, right = height.length - 1;
    int leftMax = 0, rightMax = 0, water = 0;
    while (left <= right) {
        if (height[left] < height[right]) {
            if (height[left] > leftMax) leftMax = height[left];
            else water += leftMax - height[left];
            left++;
        } else {
            if (height[right] > rightMax) rightMax = height[right];
            else water += rightMax - height[right];
            right--;
        }
    }
    return water;
}

medium

A. The water calculation should add height[left] instead of subtracting

B. The comparison should be 'height[left] <= height[right]' instead of '<'

C. The loop condition should be 'left < right' instead of 'left <= right'

D. leftMax and rightMax should be initialized to 1 instead of 0

Solution

1. Step 1: Analyze loop condition impact

   The loop uses 'left <= right', which causes double counting when left == right.

2. Step 2: Correct loop condition

   Changing to 'left < right' prevents overlapping pointers and avoids incorrect water calculation.

3. Final Answer:

   The loop condition should be 'left < right' instead of 'left <= right' -> Option C

4. Quick Check:

   Loop condition 'left < right' avoids overlap [OK]

Hint: Use strict less than in loop to avoid pointer overlap [OK]

Common Mistakes:

• Using <= causes double counting at same index
• Changing comparison operators incorrectly
• Initializing max heights incorrectly

5. Given the height array {3, 0, 2, 0, 4}, what is the total trapped rain water? Explain how the trapped water is calculated step-by-step.

hard

A. 7

B. 6

C. 5

D. 8

Solution

1. Step 1: Calculate leftMax and rightMax arrays

   leftMax = [3, 3, 3, 3, 4], rightMax = [4, 4, 4, 4, 4]

2. Step 2: Calculate trapped water at each index

   Water trapped = min(leftMax[i], rightMax[i]) - height[i] = [0, 3, 1, 3, 0] Sum = 0 + 3 + 1 + 3 + 0 = 7

3. Step 3: Re-check calculation for correctness

   At index 1: min(3,4)-0=3 At index 2: min(3,4)-2=1 At index 3: min(3,4)-0=3 Sum = 7 units trapped water

4. Final Answer:

   7 -> Option A

5. Quick Check:

   Sum trapped water = 7 units [OK]

Hint: Use leftMax and rightMax arrays to find trapped water [OK]

Common Mistakes:

• Forgetting to take minimum of leftMax and rightMax
• Subtracting height incorrectly
• Not summing trapped water at all indices