Keep distinct/unique rows

Source: R/distinct-rd.R, R/distinct.R

This is a method for the dplyr::distinct() generic. Keep only unique/distinct rows from a data frame. This is similar to unique.data.frame() but considerably faster.

# S3 method for class 'duckplyr_df'
distinct(.data, ..., .keep_all = FALSE)

Arguments

.data

A data frame, data frame extension (e.g. a tibble), or a lazy data frame (e.g. from dbplyr or dtplyr). See Methods, below, for more details.

...

<data-masking> Optional variables to use when determining uniqueness. If there are multiple rows for a given combination of inputs, only the first row will be preserved. If omitted, will use all variables in the data frame.

.keep_all

If TRUE, keep all variables in .data. If a combination of ... is not distinct, this keeps the first row of values.

Examples

df <- duckdb_tibble(
  x = sample(10, 100, rep = TRUE),
  y = sample(10, 100, rep = TRUE)
)
nrow(df)
#> [1] 100
nrow(distinct(df))
#> [1] 64