Hi all,
So I have a large set of data, of which every iteration I only need to perform processing/updates on a small subset of items, which led me to choose a certain compaction algorithm. The compaction works great, however I still need the original dataset for the next iteration (the original set, with the newly updated subset included).
Does anyone have any good recommendations of how to do this? Was compaction the wrong choice?
Thanks