inst/doc/developers.R

## ----include = FALSE----------------------------------------------------------
clean_output <- function(x, options) {
  x <- gsub("0x[0-9a-f]+", "0xdeadbeef", x)
  x <- gsub("dataframe_[0-9]*_[0-9]*", "      dataframe_42_42      ", x)
  x <- gsub("[0-9]*\\.___row_number ASC", "42.___row_number ASC", x)
  x <- gsub("─", "-", x)
  x
}

local({
  hook_source <- knitr::knit_hooks$get("document")
  knitr::knit_hooks$set(document = clean_output)
})

knitr::opts_chunk$set(
  collapse = TRUE,
  eval = identical(Sys.getenv("IN_PKGDOWN"), "true") || (getRversion() >= "4.1" && rlang::is_installed(c("conflicted", "nycflights13"))),
  comment = "#>"
)

Sys.setenv(DUCKPLYR_FALLBACK_COLLECT = 0)

## ----attach-------------------------------------------------------------------
# library(conflicted)
# library(dplyr)
# conflict_prefer("filter", "dplyr")

## -----------------------------------------------------------------------------
# lazy <-
#   duckplyr::flights_df() |>
#   duckplyr::as_duckdb_tibble() |>
#   mutate(inflight_delay = arr_delay - dep_delay) |>
#   summarize(
#     .by = c(year, month),
#     mean_inflight_delay = mean(inflight_delay, na.rm = TRUE),
#     median_inflight_delay = median(inflight_delay, na.rm = TRUE),
#   ) |>
#   filter(month <= 6)

## -----------------------------------------------------------------------------
# class(lazy)
# 
# names(lazy)

## -----------------------------------------------------------------------------
# lazy |>
#   explain()

## -----------------------------------------------------------------------------
# lazy$mean_inflight_delay

## -----------------------------------------------------------------------------
# lazy

## -----------------------------------------------------------------------------
# library(duckplyr)
# 
# methods_restore()

## ----error = TRUE-------------------------------------------------------------
try({
# flights_df() |>
#   mutate(inflight_delay = arr_delay - dep_delay) |>
#   explain()
})

## -----------------------------------------------------------------------------
# data <- duckdb_tibble(
#   x = 1:3,
#   y = 5,
#   z = letters[1:3]
# )
# data

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duckplyr documentation built on June 8, 2025, 10:53 a.m.