Use dplyr verbs, as well as custom ones, to build data.table
expressions. Check the
vignette
for more information.
The basic idea is to parse the input from all the verbs and create a
single expression that, after evaluation, simply delegates all the
actual computations to data.table, letting it handle all optimizations
as usual.
# the expression is what matters here, input is left empty
data.table() %>%
start_expr %>%
select(col) %>%
where(var == val) %>%
order_by(v)
#> .DT_[var == val, list(col)][order(v)]The input data.table is always assigned in the evaluation’s
environment as the .DT_ pronoun
In many cases character input can also be supported, which could be
useful for other packages that use data.table.
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