Fastest way to replace NAs in a large data.table

Question

I have a large data.table, with many missing values scattered throughout its ~200k rows and 200 columns. I would like to re code those NA values to zeros as efficiently as

Answer 1

Here's the simplest one I could come up with:

dt[is.na(dt)] <- 0

It's efficient and no need to write functions and other glue code.