as_duckplyr_tibble()

NAMESPACE

@@ -107,6 +107,7 @@ export(anti_join)
 export(any_of)
 export(arrange)
 export(as_duckplyr_df)
+export(as_duckplyr_tibble)
 export(as_tibble)
 export(between)
 export(bind_cols)

NEWS.md

@@ -5,6 +5,7 @@
 ## Features
 
 - `df_from_file()` and related functions support multiple files (#194, #195), show a clear error message for non-string `path` arguments (#182), and create a tibble by default (#177).
+- New `as_duckplyr_tibble()` to convert a data frame to a duckplyr tibble (#177).
 - Support descending sort for character and other non-numeric data (@toppyy, #92, #175).
 - Avoid setting memory limit (#193).
 - Check compatibility of join columns (#168, #185).

R/as_duckplyr_df.R

@@ -1,16 +1,23 @@
 #' Convert to a duckplyr data frame
 #'
-#' For an object of class `duckplyr_df`,
+#' @description
+#' These functions convert a data-frame-like input to an object of class `"duckpylr_df"`.
+#' For such objects,
 #' dplyr verbs such as [mutate()], [select()] or [filter()]  will attempt to use DuckDB.
 #' If this is not possible, the original dplyr implementation is used.
 #'
+#' `as_duckplyr_df()` requires the input to be a plain data frame or a tibble,
+#' and will fail for any other classes, including subclasses of `"data.frame"` or `"tbl_df"`.
+#' This behavior is likely to change, do not rely on it.
+#'
+#' @details
 #' Set the `DUCKPLYR_FALLBACK_INFO` and `DUCKPLYR_FORCE` environment variables
 #' for more control over the behavior, see [config] for more details.
 #'
 #' @param .data data frame or tibble to transform
 #'
-#' @return An object of class `"duckplyr_df"`, inheriting from the classes of the
-#'   `.data` argument.
+#' @return For `as_duckplyr_df()`, an object of class `"duckplyr_df"`,
+#'   inheriting from the classes of the `.data` argument.
 #'
 #' @export
 #' @examples
@@ -36,7 +43,3 @@ as_duckplyr_df <- function(.data) {
   class(.data) <- c("duckplyr_df", class(.data))
   .data
 }
-
-default_df_class <- function() {
-  class(new_tibble(list()))
-}

R/as_duckplyr_tibble.R

@@ -0,0 +1,13 @@
+#' as_duckplyr_tibble
+#'
+#' `as_duckplyr_tibble()` converts the input to a tibble and then to a duckplyr data frame.
+#'
+#' @return For `as_duckplyr_df()`, an object of class
+#'   `c("duckplyr_df", class(tibble()))` .
+#'
+#' @rdname as_duckplyr_df
+#' @export
+as_duckplyr_tibble <- function(.data) {
+  # Extra as.data.frame() call for good measure and perhaps https://github.com/tidyverse/tibble/issues/1556
+  as_duckplyr_df(as_tibble(as.data.frame(.data)))
+}

R/io-.R

@@ -78,3 +78,7 @@ duckplyr_df_from_file <- function(
   out <- df_from_file(path, table_function, options = options, class = class)
   as_duckplyr_df(out)
 }
+
+default_df_class <- function() {
+  class(new_tibble(list()))
+}

README.Rmd

@@ -75,8 +75,8 @@ conflict_prefer("filter", "dplyr")
 
 There are two ways to use duckplyr.
 
-1. To enable duckplyr for individual data frames, use `duckplyr::as_duckplyr_df()` as the first step in your pipe, without attaching the package.
-1. By calling `library(duckplyr)`, it overwrites dplyr methods and is automatically enabled for the entire session without having to call `as_duckplyr_df()`. To turn this off, call `methods_restore()`.
+1. To enable duckplyr for individual data frames, use `duckplyr::as_duckplyr_tibble()` as the first step in your pipe, without attaching the package.
+1. By calling `library(duckplyr)`, it overwrites dplyr methods and is automatically enabled for the entire session without having to call `as_duckplyr_tibble()`. To turn this off, call `methods_restore()`.
 
 The examples below illustrate both methods.
 See also the companion [demo repository](https://github.com/Tmonster/duckplyr_demo) for a use case with a large dataset.
@@ -85,20 +85,20 @@ See also the companion [demo repository](https://github.com/Tmonster/duckplyr_de
 
 This example illustrates usage of duckplyr for individual data frames.
 
-Use `duckplyr::as_duckplyr_df()` to enable processing with duckdb:
+Use `duckplyr::as_duckplyr_tibble()` to enable processing with duckdb:
 
 ```{r}
 out <-
   palmerpenguins::penguins %>%
   # CAVEAT: factor columns are not supported yet
   mutate(across(where(is.factor), as.character)) %>%
-  duckplyr::as_duckplyr_df() %>%
+  duckplyr::as_duckplyr_tibble() %>%
   mutate(bill_area = bill_length_mm * bill_depth_mm) %>%
   summarize(.by = c(species, sex), mean_bill_area = mean(bill_area)) %>%
   filter(species != "Gentoo")
 ```
 
-The result is a data frame or tibble, with its own class.
+The result is a tibble, with its own class.
 
 ```{r}
 class(out)
@@ -137,7 +137,7 @@ Use `library(duckplyr)` or `duckplyr::methods_overwrite()` to overwrite dplyr me
 duckplyr::methods_overwrite()
 ```
 
-This is the same query as above, without `as_duckplyr_df()`:
+This is the same query as above, without `as_duckplyr_tibble()`:
 
 ```{r echo = FALSE}
 Sys.setenv(DUCKPLYR_FALLBACK_COLLECT = 0)
@@ -206,7 +206,7 @@ Sys.setenv(DUCKPLYR_FALLBACK_COLLECT = "")
 
 ```{r}
 palmerpenguins::penguins %>%
-  duckplyr::as_duckplyr_df() %>%
+  duckplyr::as_duckplyr_tibble() %>%
   transmute(bill_area = bill_length_mm * bill_depth_mm) %>%
   head(3)
 ```

README.md

@@ -41,28 +41,28 @@ Or from [GitHub](https://github.com/) with:
 
 There are two ways to use duckplyr.
 
-1.  To enable duckplyr for individual data frames, use [`duckplyr::as_duckplyr_df()`](https://duckdblabs.github.io/duckplyr/reference/as_duckplyr_df.html) as the first step in your pipe, without attaching the package.
-2.  By calling [`library(duckplyr)`](https://duckdblabs.github.io/duckplyr/), it overwrites dplyr methods and is automatically enabled for the entire session without having to call `as_duckplyr_df()`. To turn this off, call `methods_restore()`.
+1.  To enable duckplyr for individual data frames, use [`duckplyr::as_duckplyr_tibble()`](https://duckdblabs.github.io/duckplyr/reference/as_duckplyr_tibble.html) as the first step in your pipe, without attaching the package.
+2.  By calling [`library(duckplyr)`](https://duckdblabs.github.io/duckplyr/), it overwrites dplyr methods and is automatically enabled for the entire session without having to call `as_duckplyr_tibble()`. To turn this off, call `methods_restore()`.
 
 The examples below illustrate both methods. See also the companion [demo repository](https://github.com/Tmonster/duckplyr_demo) for a use case with a large dataset.
 
 ### Usage for individual data frames
 
 This example illustrates usage of duckplyr for individual data frames.
 
-Use [`duckplyr::as_duckplyr_df()`](https://duckdblabs.github.io/duckplyr/reference/as_duckplyr_df.html) to enable processing with duckdb:
+Use [`duckplyr::as_duckplyr_tibble()`](https://duckdblabs.github.io/duckplyr/reference/as_duckplyr_tibble.html) to enable processing with duckdb:
 
 <pre class='chroma'>
 <span><span class='nv'>out</span> <span class='o'>&lt;-</span></span>
 <span>  <span class='nf'>palmerpenguins</span><span class='nf'>::</span><span class='nv'><a href='https://allisonhorst.github.io/palmerpenguins/reference/penguins.html'>penguins</a></span> <span class='o'><a href='https://magrittr.tidyverse.org/reference/pipe.html'>%&gt;%</a></span></span>
 <span>  <span class='c'># CAVEAT: factor columns are not supported yet</span></span>
 <span>  <span class='nf'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span><span class='o'>(</span><span class='nf'><a href='https://dplyr.tidyverse.org/reference/across.html'>across</a></span><span class='o'>(</span><span class='nf'><a href='https://tidyselect.r-lib.org/reference/where.html'>where</a></span><span class='o'>(</span><span class='nv'>is.factor</span><span class='o'>)</span>, <span class='nv'>as.character</span><span class='o'>)</span><span class='o'>)</span> <span class='o'><a href='https://magrittr.tidyverse.org/reference/pipe.html'>%&gt;%</a></span></span>
-<span>  <span class='nf'>duckplyr</span><span class='nf'>::</span><span class='nf'><a href='https://duckdblabs.github.io/duckplyr/reference/as_duckplyr_df.html'>as_duckplyr_df</a></span><span class='o'>(</span><span class='o'>)</span> <span class='o'><a href='https://magrittr.tidyverse.org/reference/pipe.html'>%&gt;%</a></span></span>
+<span>  <span class='nf'>duckplyr</span><span class='nf'>::</span><span class='nf'><a href='https://duckdblabs.github.io/duckplyr/reference/as_duckplyr_tibble.html'>as_duckplyr_tibble</a></span><span class='o'>(</span><span class='o'>)</span> <span class='o'><a href='https://magrittr.tidyverse.org/reference/pipe.html'>%&gt;%</a></span></span>
 <span>  <span class='nf'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span><span class='o'>(</span>bill_area <span class='o'>=</span> <span class='nv'>bill_length_mm</span> <span class='o'>*</span> <span class='nv'>bill_depth_mm</span><span class='o'>)</span> <span class='o'><a href='https://magrittr.tidyverse.org/reference/pipe.html'>%&gt;%</a></span></span>
 <span>  <span class='nf'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarize</a></span><span class='o'>(</span>.by <span class='o'>=</span> <span class='nf'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='o'>(</span><span class='nv'>species</span>, <span class='nv'>sex</span><span class='o'>)</span>, mean_bill_area <span class='o'>=</span> <span class='nf'><a href='https://rdrr.io/r/base/mean.html'>mean</a></span><span class='o'>(</span><span class='nv'>bill_area</span><span class='o'>)</span><span class='o'>)</span> <span class='o'><a href='https://magrittr.tidyverse.org/reference/pipe.html'>%&gt;%</a></span></span>
 <span>  <span class='nf'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span><span class='o'>(</span><span class='nv'>species</span> <span class='o'>!=</span> <span class='s'>"Gentoo"</span><span class='o'>)</span></span></pre>
 
-The result is a data frame or tibble, with its own class.
+The result is a tibble, with its own class.
 
 <pre class='chroma'>
 <span><span class='nf'><a href='https://rdrr.io/r/base/class.html'>class</a></span><span class='o'>(</span><span class='nv'>out</span><span class='o'>)</span></span>
@@ -211,7 +211,7 @@ Use [`library(duckplyr)`](https://duckdblabs.github.io/duckplyr/) or [`duckplyr:
 <span><span class='c'>#&gt; <span style='color: #00BB00;'>✔</span> Overwriting <span style='color: #0000BB;'>dplyr</span> methods with <span style='color: #0000BB;'>duckplyr</span> methods.</span></span>
 <span><span class='c'>#&gt; <span style='color: #00BBBB;'>ℹ</span> Turn off with `duckplyr::methods_restore()`.</span></span></pre>
 
-This is the same query as above, without `as_duckplyr_df()`:
+This is the same query as above, without `as_duckplyr_tibble()`:
 
 <pre class='chroma'>
 <span><span class='nv'>out</span> <span class='o'>&lt;-</span></span>
@@ -298,7 +298,7 @@ The first time the package encounters an unsupported function, data type, or ope
 
 <pre class='chroma'>
 <span><span class='nf'>palmerpenguins</span><span class='nf'>::</span><span class='nv'><a href='https://allisonhorst.github.io/palmerpenguins/reference/penguins.html'>penguins</a></span> <span class='o'><a href='https://magrittr.tidyverse.org/reference/pipe.html'>%&gt;%</a></span></span>
-<span>  <span class='nf'>duckplyr</span><span class='nf'>::</span><span class='nf'><a href='https://duckdblabs.github.io/duckplyr/reference/as_duckplyr_df.html'>as_duckplyr_df</a></span><span class='o'>(</span><span class='o'>)</span> <span class='o'><a href='https://magrittr.tidyverse.org/reference/pipe.html'>%&gt;%</a></span></span>
+<span>  <span class='nf'>duckplyr</span><span class='nf'>::</span><span class='nf'><a href='https://duckdblabs.github.io/duckplyr/reference/as_duckplyr_tibble.html'>as_duckplyr_tibble</a></span><span class='o'>(</span><span class='o'>)</span> <span class='o'><a href='https://magrittr.tidyverse.org/reference/pipe.html'>%&gt;%</a></span></span>
 <span>  <span class='nf'><a href='https://dplyr.tidyverse.org/reference/transmute.html'>transmute</a></span><span class='o'>(</span>bill_area <span class='o'>=</span> <span class='nv'>bill_length_mm</span> <span class='o'>*</span> <span class='nv'>bill_depth_mm</span><span class='o'>)</span> <span class='o'><a href='https://magrittr.tidyverse.org/reference/pipe.html'>%&gt;%</a></span></span>
 <span>  <span class='nf'><a href='https://rdrr.io/r/utils/head.html'>head</a></span><span class='o'>(</span><span class='m'>3</span><span class='o'>)</span></span>
 <span><span class='c'>#&gt; The <span style='color: #0000BB;'>duckplyr</span> package is configured to fall back to <span style='color: #0000BB;'>dplyr</span> when it encounters an</span></span>

tests/testthat/test-as_duckplyr_tibble.R

@@ -0,0 +1,7 @@
+test_that("as_duckplyr_tibble() works", {
+  expect_s3_class(as_duckplyr_tibble(tibble(a = 1)), "duckplyr_df")
+  expect_equal(class(as_duckplyr_tibble(tibble(a = 1))), c("duckplyr_df", class(tibble())))
+
+  expect_s3_class(as_duckplyr_tibble(data.frame(a = 1)), "duckplyr_df")
+  expect_equal(class(as_duckplyr_tibble(data.frame(a = 1))), c("duckplyr_df", class(tibble())))
+})