This is the third post concerning fast merging in R, first here and second here. This time we are going to look at how the merge function from data.table package works in our case, requested by Uwe Block. As a reminder the first post concerns doing a merging scheme using the lapply function. After that in the second post we looked how it translates to a parallel solution for even more speed.