Thanks Sagar...That helps to a certain extent.
But is dependency not a common occurrence among equations? Doesn't Hadoop
provide a way to solve such equations in parallel?
Going in for a sequential calculation might prove to be a major performance
degradation given tens of thousands of numbers.
Hello all,
I am trying to implement a Map Reduce Chain to solve a particular statistic
problem. I have come to a point where I have to solve the following type of
equation in Hadoop:
F(t)= A*w(t)*w(t) + B*F(t-1); Given: F(0)=0, A and B are Alpha and Beta
and their values are known.
Now, W
Here is one thought
N maps and 1 Reduce,
input to map: t,w(t)
output of map t, w(t)*w(t)
I assume t is an integer. So in case of 1 reducer, u will receive
t0, square(w(0)
t1, square(w(1)
t2, square(w(2)
t3, square(w(3)
Note this wiil be a sorted series on t.
in reduce
static prevF = 0;
