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Easy

Bubble Sort

An easy Sorting problem included in Apna College, Love Babbar 450. Below: the roles whose interviews prioritise this topic, and how to practise it.

Topic
Sorting
Sheets
2
Core for
13 roles
Platform
GeeksforGeeks

The problem

Sort an array by repeatedly stepping through the list, comparing adjacent elements, and swapping them if they are in the wrong order. Continue until no swaps are needed.

Example 1

Input
nums = [5, 2, 9, 1, 5, 6]
Output
[1, 2, 5, 5, 6, 9]

Example 2

Input
nums = [64, 34, 25, 12, 22, 11, 90]
Output
[11, 12, 22, 25, 34, 64, 90]

Constraints

  • 1 <= nums.length <= 100
  • -10^4 <= nums[i] <= 10^4

How to think about it

Updated 2026-09-09

Every adjacent comparison is a tiny local filter: whenever a larger value sits on the left of a smaller one, swapping them pulls the larger value rightward. Repeating this full sweep guarantees that after pass k, the k largest elements have permanently settled at the tail, reducing the unsorted frontier by one each round.

Approaches, worst first

  1. Fixed nested loops

    time O(n^2) · space O(1)

    Run outer loop n times and inner loop across all adjacent pairs regardless of order. Correct and simple, but it blindly completes every comparison even when the array was already sorted at the start or settled early.

  2. Early exit with swap flagWrite this one

    time O(n^2) · space O(1)

    Shorten the inner scan boundary by one after each pass and track whether any swap happened. If a complete pass finishes without a single swap, every adjacent pair is in order, meaning the entire array is sorted and the routine can stop.

Where people lose marks · 3
  • Scanning all the way to index n - 1 on every pass instead of shrinking the inner loop bound wastes comparisons on elements already parked in their final positions.
  • Comparing with strict greater-than rather than greater-or-equal preserves stability; using `>=` swaps identical elements and destroys the original relative ordering.
  • Forgetting to reset the swapped flag at the start of each outer iteration causes the early-exit check to stay permanently triggered after the first swap.

The theory behind it

Sorting — the ground this problem stands on. All Sorting problems

What Sorting is

Sorting is the act of arranging a scrambled hand of playing cards into ascending rank from left to right. It reorganizes scattered data according to a consistent comparison rule, like numbering index cards or alphabetizing names. While unsorted data requires searching every single entry to verify whether an item exists, ordered data establishes predictable relationships that make duplicates, clusters, and extreme values immediately visible.

When to reach for it

Reach for sorting when a problem asks to group identical items, detect overlaps among intervals, find rank percentiles, or pair values matching a target sum. If an unordered problem appears intractable in polynomial time, sorting the input frequently unlocks linear scans or two-pointer sweeps. When an O(n log n) preprocessing step simplifies downstream matching logic, sorting is usually the right opening move.

How the pattern works

Think of sorting as a trade: invest logarithmic overhead upfront to make subsequent queries direct and orderly. Compare adjacent elements to uncover duplicate entries, or march inward from outer boundaries once elements stand in monotonic sequence. When designing custom comparators, confirm strict weak ordering by verifying reflexivity, antisymmetry, and transitivity; inconsistent comparison logic breaks internal pivot partitions or produces corrupted outputs.

What each operation costs

OperationTime
sort using comparison based algorithmsO(n log n)
sort bounded integers using count bucketsO(n + k)
sort using quadratic bubble or selectionO(n^2)
What usually goes wrong with Sorting
  • Writing comparator functions that return inconsistent ordering results, violating transitive rules and leading to infinite loops or crashes during library sorting.
  • Sorting in-place when original array indices must be returned in the final answer, destroying initial positions without keeping index-value pairings beforehand.
  • Assuming default language sorting sorts numbers numerically when some environments convert arguments to strings first, sorting ten ahead of two.

Which roles need this problem

Sorting is a core topic for these 13 roles — if you're targeting one of them, this problem is early in your path, not optional.

Secondary for 13 more roles, including ML Engineer, Android Developer, iOS Developer.

Companies that have asked it

Tags taken from the problem's own GeeksforGeeks page — not a copied list.

AccentureCiscoHuaweiMicrosoftNagarroSAP LabsWiproredBus

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