Training Examples used in Stochastic Gradient Descent
In a given iteration of the stochastic gradient descent algorithm, all 45 predictors are updated using a randomly generated subset of your 10,000 observation sample.  This subset may consist of only 1 observation, but typically cross validation is used to determine the optimal subset size.  You could even try randomly generating different subset sizes each iteration.