What is the benefit of FFT when we're already sampling at an acceptable rate? As I'm learning about DSP I can understand the process of taking a continuous signal into a discrete signal. I understand an oscillator producing different types of signals, including a periodic signals (especially sinusoids), phase shifts and amplitudes etc., 

I'm following a coursera class, and reading DSP theory.. Rather than blindly using the DSP libraries out there I want to know exactly why something is happening. My 1st roadblock is this:


If we already have enough samples of amplitudes collected at a reasonably sample rate (using Nyquist-Shannon) Why does it matter that a signal (Sinusoid) can be broken down into other sinusoids? Aren't the samples enough to reconstruct the original signal/sound?
What is advantageous by knowing that the Fast Fourier Transform can decompose a signal into multiple signals?
The sinusoids that make up a single sinusoid also have other sinusoids that compose them. If a signal has say 5 sinusoids, those 5 sinusoids, according to DFT if I'm correct, can also each have sinusoids.. Isn't this recursive or infinite? At what point can we say we have "enough" sinusoids to represent a signal.


Thanks in advance for the clarification &amp; patience.
Not all periodic signals are sinusoids.  Items 1 and 3 should not assume such.  Not all sampling is done just for reconstruction.  Look up other needs or uses for sampled signals.  
A linear time-invariant system can behave differently to different frequency sinusoidal inputs (as provided by common solutions to certain low order differential equations), so it may be easier to figure how that system responds to other types of far more complicated inputs by breaking them down into the sum of simpler sinusoidal ones.
A DFT or FFT won't break down a pure (unmodulated) sinusoid that is integer periodic in aperture into other sinusoids (other than that a pure sinusoid of an arbitrary phase can be broken down into component cosine and sine sinusoids of that same frequency).  But an FFT can "break down" other types of signals.