config | R Documentation |
The behavior of duckplyr can be fine-tuned with several environment variables, and one option.
duckdb.materialize_message
: Set to FALSE
to turn off diagnostic output from duckdb
on data frame materialization.
Currenty set to TRUE
when duckplyr is loaded.
DUCKPLYR_OUTPUT_ORDER
: If TRUE
, row output order is preserved.
The default may change the row order where dplyr would keep it stable.
DUCKPLYR_FORCE
: If TRUE
, fail if duckdb cannot handle a request.
DUCKPLYR_FALLBACK_INFO
: If TRUE
, print a message when a fallback to dplyr occurs
because duckdb cannot handle a request.
DUCKPLYR_CHECK_ROUNDTRIP
: If TRUE
, check if all columns are roundtripped perfectly
when creating a relational object from a data frame,
This is slow, and mostly useful for debugging.
The default is to check roundtrip of attributes.
DUCKPLYR_EXPERIMENTAL
: If TRUE
, pass experimental = TRUE
to certain duckdb functions.
Currently unused.
DUCKPLYR_METHODS_OVERWRITE
: If TRUE
, call methods_overwrite()
when the package is loaded.
See fallback for more options related to logging and uploading of fallback events.
# options(duckdb.materialize_message = FALSE)
data.frame(a = 3:1) %>%
as_duckplyr_df() %>%
inner_join(data.frame(a = 1:4), by = "a")
rlang::with_options(duckdb.materialize_message = FALSE, {
data.frame(a = 3:1) %>%
as_duckplyr_df() %>%
inner_join(data.frame(a = 1:4), by = "a") %>%
print()
})
# Sys.setenv(DUCKPLYR_OUTPUT_ORDER = TRUE)
data.frame(a = 3:1) %>%
as_duckplyr_df() %>%
inner_join(data.frame(a = 1:4), by = "a")
withr::with_envvar(c(DUCKPLYR_OUTPUT_ORDER = "TRUE"), {
data.frame(a = 3:1) %>%
as_duckplyr_df() %>%
inner_join(data.frame(a = 1:4), by = "a")
})
# Sys.setenv(DUCKPLYR_FORCE = TRUE)
add_one <- function(x) {
x + 1
}
data.frame(a = 3:1) %>%
as_duckplyr_df() %>%
mutate(b = add_one(a))
try(withr::with_envvar(c(DUCKPLYR_FORCE = "TRUE"), {
data.frame(a = 3:1) %>%
as_duckplyr_df() %>%
mutate(b = add_one(a))
}))
# Sys.setenv(DUCKPLYR_FALLBACK_INFO = TRUE)
withr::with_envvar(c(DUCKPLYR_FALLBACK_INFO = "TRUE"), {
data.frame(a = 3:1) %>%
as_duckplyr_df() %>%
mutate(b = add_one(a))
})
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