Sorting is used in most modern applications and it has an impact on the overall application. In this blog we will discuss in detail Bucket Sort, Bucket Sort Advantages and Disadvantages, Sorting Algorithm and Comparison from other sorting algorithms.
What is Bucket Sort?
Bucket Sort is a sorting algorithm that divides the unsorted array elements into several groups called buckets. Each bucket then can be sorted by applying a recursive bucket sort algorithm or by applying any suitable sorting algorithm.
Bucket Sort Advantages and Disadvantages
Advantages of Bucket Sort
- Bucket sort allows each bucket to be processed independently. As a result, you’ll frequently need to sort much smaller arrays as a secondary step after sorting the main array.
- Bucket sort also has the advantage of being able to be used as an external sorting algorithm. If you need to sort a list that is too large to fit in memory, you may stream it through RAM, split the contents into buckets saved in external files, and then sort each file separately in RAM.
Disadvantages of Bucket Sort
- The problem is that if the buckets are distributed incorrectly, you may wind up spending a lot of extra effort for no or very little gain. As a result, bucket sort works best when the data is more or less evenly distributed, or when there is a smart technique to pick the buckets given a fast set of heuristics based on the input array.
- Can’t apply it to all data types since a suitable bucketing technique is required. Bucket sort’s efficiency is dependent on the distribution of the input values, thus it’s not worth it if your data are closely grouped.In many situations, you might achieve greater performance by using a specialized sorting algorithm like radix sort, counting sort, or burst sort instead of bucket sort.
- Bucket sort’s performance is determined by the number of buckets used, which may need some additional performance adjustment when compared to other algorithms.
I hope this helps you understand the relative benefits and drawbacks of bucket sorting. Finally, the best method to evaluate if it’s a good fit is to compare it against other algorithms and see how it performs, but the preceding criteria may help you avoid wasting time comparing it in instances where it’s unlikely to work.
Bucket sort algorithm
bucketSort() create N buckets for all the buckets initialize buckets value with 0 for all the buckets push elements into buckets matching the range for all the buckets apply sorting elements of each buckets gather elements from each bucket end bucketSort
Bucket Sort Complexity
Bucket Sort vs. Quick Sort
Quick Sort is frequently the fastest sorting algorithm in practice. Most of the time, its performance is measured as O(N log N). This indicates that to sort N elements, the method does N log N comparisons.
Then Why is Bucket Sort more beneficial than Quick Sort sometimes?
The fact that bucket sort is in place is one of the reasons it could be utilised for streams. You may keep the sorted list up to date by adding new elements without having to re-sort it every time. It’s as simple as manipulating the data structure (bucket) directly.
Quicksort, on the other hand, is not in place, and returning the sorted list necessitates a full sorting operation.
If you want to decide which algorithm to choose in your application (QuickSort, Bucket Sort or some other), then you can use a performance profiler such as AQtime to decide which variant works better for you, and optimize your code further.
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