How do you sort a huge amount of data which Cannot be loaded into RAM at once?

External sorting is a term for a class of sorting algorithms that can handle massive amounts of data. External sorting is required when the data being sorted do not fit into the main memory of a computing device (usually RAM) and instead, they must reside in the slower external memory (usually a hard drive).

How do I sort 1GB data?

For sorting 10 GB of data using only 1 GB of RAM:

1. Read 1 GB of the data in main memory and sort by using quicksort.
2. Write the sorted data to disk.
3. Repeat steps 1 and 2 until all of the data is in sorted 1GB chunks (there are 10 GB / 1 GB = 10 chunks), which now need to be merged into one single output file.

How do you find the median of an unsorted array?

Given an unsorted array arr[] of length N, the task is to find the median of of this array….Naive Approach:

1. Sort the array arr[] in increasing order.
2. If number of elements in arr[] is odd, then median is arr[n/2].
3. If the number of elements in arr[] is even, median is average of arr[n/2] and arr[n/2+1].

How do I sort large amounts of data?

1. For sorting a very large file , we can use external sorting technique.External sorting is an algorithm that can handle massive amounts of data.
2. using external merge sort.
3. For sorting a very large file , we can use external sorting technique.External sorting is an algorithm that can handle massive amounts of data.

How do you sort Big Data?

When dealing with massive data sorting, we usually use Hadoop which is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. A common approach in implement of big data sorting is to use shuffle and sort phase in MapReduce based on Hadoop.

Which sorting technique will you use to sort 1 GB of data with only 100 MB of available main memory?

You have to sort 1 GB of data with only 100 MB of available main memory. Which sorting technique will be most appropriate? Explanation: The data can be sorted using external sorting which uses merging technique.

How do I sort 100gb files?

How do you find the median of an unsorted array without sorting?

1. int testMedian(int [] a, int median) {
2. int balance = 0, equal = 0;
3. for (int i=0; i
4. if (a[i]
5. else if (a[i]>median) balance++;
6. else equal++;
7. }
8. if (balance + equal < 0) return -1; // too much stuff left of median.

How do you find the median efficiently?

Count how many numbers you have. If you have an odd number, divide by 2 and round up to get the position of the median number. If you have an even number, divide by 2. Go to the number in that position and average it with the number in the next higher position to get the median.

How do you find the median of a data stream?

even number of integers, there’s no middle element; the median is computed as the average of the two middle elements – in the ordered set {5, 7, 8, 10}, the median is (7 + 8) / 2 = 7.5.