![]() ![]() The shuffle step that groups data per key ensures that (key, value) pairs with The map and reduce steps can happen concurrently on different machines within a compute network. Since MapReduce is a framework for distributed computing, the reader should keep in mind that Reduce: finally, a function is applied to a series of (key, ) pairs generated by the shuffle step, and outputs another list of (key, value) pairs Shuffle (also referred to as the combine or partition step): the (key, value) tuples generated in the map step are grouped based on their key field. Map: in this step, a function is applied to a list of inputs and outputs a list of (key, value) pairs. ![]() In response to that, the MapReduce frameworkÄefines 3 fundamental steps (that can be iterated) to write parallel Writing code for parallel or distributed processing manuallyĬan quickly become tedious due to the need to manage communication between MapReduce is a framework for distributed computation that helps scale up ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |