Mapper Input
Explore how Hadoop's MapReduce processes large data sets by dividing them into input splits, enabling parallel map tasks. Understand input splits as logical references to data, how the framework manages task scheduling based on data locality, and the balance between split size and job efficiency.
We'll cover the following...
We'll cover the following...
Mapper Inputs
Input splits
Our example demonstrates a simplistic scenario where the input is entirely contained in a single file for the MR job. In reality, the input to a MR job usually consists of several GBs of data. That data is split among multiple map tasks.
Each map task works on a unit of data called the input split.
Hadoop divides the MR job input into equal sized chunks. Each map task works on ...