complete fill = 0 for all, not just specific columns

Reading docs here for complete()

fill:
A named list that for each variable supplies a single value to use
instead of NA for missing combinations.

Example priovided:

df %>%
  complete(
    group,
    nesting(item_id, item_name),
    fill = list(value1 = 0, value2 = 99)

My question is, can I tell complete to fill all with 0? Tried just fill = 0 which returned an error. I have more than 100 cols!

>Solution :

in the case you want to fill all columns,

library(dplyr)
library(tidyr)

df %>%
  complete(
    group,
    nesting(item_id, item_name),
    fill = across(everything(), ~0)
  )