Last chance! 50% off unlimited learning
Sale ends in
compute
forces computation of lazy tbls, leaving
data in the remote source. collect
also forces
computation, but will bring data back into an R data.frame
(stored in a tbl_df
). collapse
doesn't
force computation, but collapses a complex tbl into a form
that additional restrictions can be placed on.compute(x, name = random_table_name(), ...)collect(x, ...)
collapse(x, ...)
compute
and collect
preserve grouping,
collapse
drops it.copy_to
which is the conceptual opposite: it
takes a local data frame and makes it available to the
remote source.if (require("RSQLite") && has_lahman("sqlite")) {
batting <- tbl(lahman_sqlite(), "Batting")
remote <- select(filter(batting, yearID > 2010 && stint == 1), playerID:H)
remote2 <- collapse(remote)
cached <- compute(remote)
local <- collect(remote)
}
Run the code above in your browser using DataLab