00:01
So, here in a question to implement an external sort external sort uses intermediate files to sort large files that don't fit in main memory is a complex task.
00:17
So it involves reading chunks of data from input file sorting them in a memory and writing the chunks to temporary file.
00:26
So basically merge sort is better algorithm for this.
00:32
Merge sort is better algorithm for this task compared to heap sort or quick sort.
00:49
So this will be better option due to several reason like first stability like merge sort is a stable sorting algorithm, which means it maintains the relative order equal elements, second predictable io.
01:09
So it perform a fixed number of io operations in the merge phase which makes it more predictable and suitable for external sorting.
01:18
Third reason can be efficient for large files.
01:26
So it can efficiently handle large files that don't fit in memory because it's so data in chunks and then merge these chunks.
01:35
So to implement external sort you can use the python for the python.
01:44
The process is first divide the input file into smaller chunks.
01:51
Then second sort each chunk in memory sort each chunk in memory then using an efficient sorting algorithm right sorted chunk to temporary files and perform key way merge perform k way merge now is a basic example for an external sort implement using the python...