What type of actions does the TeraSort perform during its execution?

TeraSort is a benchmark for measuring the performance of sorting large datasets, and it is designed specifically to test the capabilities of distributed computing systems. During its execution, TeraSort primarily engages in read, process, and write operations that are intensive in input/output (I/O).

When TeraSort is executed, it involves several key steps:

1. Reading Data: TeraSort first reads a large amount of unsorted data from a distributed file system. This is the initial stage where data is pulled from storage for processing.

2. Processing Data: The core of TeraSort involves sorting the data, which requires computational capacity. However, this process is deeply intertwined with I/O operations since the data has to be accessed from storage and written back multiple times as it gets sorted.

3. Writing Data: Finally, after the sorting is completed, TeraSort writes the sorted data back to the file system. This step also necessitates significant I/O operations, as the sorted output needs to be stored effectively distributed across the nodes.

Overall, TeraSort exemplifies a methodology that emphasizes I/O operations throughout its execution, making the correct choice focused on read, process, and write I/O intensive operations.