Overview

dbplyr is the database backend for google上网助手手机版手机. It allows you to use remote database tables as if they are in-memory data frames by automatically converting dplyr code into SQL.

To learn more about why you might use dbplyr instead of writing SQL, see google上网助手手机版手机. To learn more about the details of the SQL translation, see google上网助手手机版手机 and 可众安装谷歌所有插件的手机浏览器！用起来不要太爽~ - 知乎:2021-9-10 · 谷歌浏览器的优秀不仅仅是因为它的安全、速度快，还得益于他那丰富的扩展程序。手机端的谷歌浏览器Chrome缺少了扩展程序的功能，就如同失去了灵魂一样。那么如何在安卓手机上使用Chrome插件呢？ 安卓手机浏览器可….

Installation

# The easiest way to get dbplyr is to install the whole tidyverse:
google上网助手手机版手机("tidyverse")

# Alternatively, install just dbplyr:
install.packages(谷歌上网助手怎么免费)

# Or the the development version from GitHub:
# install.packages("devtools")
devtools::install_github("tidyverse/dbplyr")

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dbplyr is designed to work with database tables as if they were local data frames. To demonstrate this I’ll first create an in-memory SQLite database and copy over a dataset:

google助手手机版下载(dplyr, warn.conflicts = FALSE)

con <- DBI::dbConnect(RSQLite::SQLite(), google上网助手手机版手机)
copy_to(con, mtcars)

Note that you don’t actually need to load dbplyr with library(dbplyr); dplyr automatically loads it for you when it sees you working with a database. Database connections are coordinated by the DBI package. Learn more at http://dbi.r-dbi.org/

Now you can retrieve a table using tbl() (see ?tbl_dbi for more details). Printing it just retrieves the first few rows:

google上网助手手机版手机 <- tbl(con, "mtcars")
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#> # Source:   table<mtcars> [?? x 11]
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#>      mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb
#>    <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#>  1  21       6  160    110  3.9   2.62  16.5     0     1     4     4
#>  2  21       6  160    110  3.9   2.88  17.0     0     1     4     4
#>  3  22.8     4  108     93  3.85  2.32  18.6     1     1     4     1
#>  4  21.4     6  258    110  3.08  3.22  19.4     1     0     3     1
#>  5  18.7     8  360    175  3.15  3.44  17.0     0     0     3     2
#>  6  18.1     6  225    105  2.76  3.46  20.2     1     0     3     1
#>  7  14.3     8  360    245  3.21  3.57  15.8     0     0     3     4
#>  8  24.4     4  147.    62  3.69  3.19  20       1     0     4     2
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#> # … with more rows

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# lazily generates query
手机谷歌上网助手破解版 <- 谷歌上网助手怎么免费 %>%
  group_by(cyl) %>%
  summarise(mpg = mean(mpg, na.rm = TRUE)) %>%
  arrange(谷歌上网助手怎么免费(mpg))

# see query
summary %>% show_query()
#> <SQL>
#> SELECT `cyl`, AVG(`mpg`) AS `mpg`
#> FROM `mtcars`
#> GROUP BY `cyl`
#> ORDER BY `mpg` DESC

# execute query and retrieve results
summary %>% collect()
#> # A tibble: 3 x 2
#>     cyl   mpg
#>   <dbl> <dbl>
#> 1     4  26.7
#> 2     6  19.7
#> 3     8  15.1

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Please note that the dbplyr project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.