tidyquery runs SQL queries on R data frames.

It uses queryparser to translate SQL queries into R expressions, then it uses dplyr to evaluate these expressions and return results. tidyquery does not load data frames into a database; it queries them in place.


Install the released version of tidyquery from CRAN with:


Or install the development version from GitHub with:

# install.packages("devtools")


Call the function query(), passing a SELECT statement enclosed in quotes as the first argument. The table name in the FROM clause should match the name of a data frame in your current R session:


" SELECT origin, dest,
    COUNT(flight) AS num_flts,
    round(AVG(distance)) AS dist,
    round(AVG(arr_delay)) AS avg_delay
  FROM flights
  WHERE distance BETWEEN 200 AND 300
    AND air_time IS NOT NULL
  GROUP BY origin, dest
  HAVING num_flts > 3000
  ORDER BY num_flts DESC, avg_delay DESC
  LIMIT 100;"
#> # A tibble: 3 x 5
#>   origin dest  num_flts  dist avg_delay
#>   <chr>  <chr>    <int> <dbl>     <dbl>
#> 1 EWR    BOS       5247   200         5
#> 2 LGA    DCA       4468   214         6
#> 3 JFK    DCA       3076   213         8

Alternatively, you can pass a data frame as the first argument and a SELECT statement as the second argument, omitting the FROM clause. This allows query() to function like a dplyr verb:

#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>     filter, lag
#> The following objects are masked from 'package:base':
#>     intersect, setdiff, setequal, union

airports %>%
  query("SELECT name, lat, lon ORDER BY lat DESC LIMIT 5")
#> # A tibble: 5 x 3
#>   name                                         lat    lon
#>   <chr>                                      <dbl>  <dbl>
#> 1 Dillant Hopkins Airport                     72.3   42.9
#> 2 Wiley Post Will Rogers Mem                  71.3 -157. 
#> 3 Wainwright Airport                          70.6 -160. 
#> 4 Wainwright As                               70.6 -160. 
#> 5 Atqasuk Edward Burnell Sr Memorial Airport  70.5 -157.

You can chain dplyr verbs before and after query():

planes %>%
  filter(engine == "Turbo-fan") %>%
  query("SELECT manufacturer AS maker, COUNT(*) AS num_planes GROUP BY maker") %>%
  arrange(desc(num_planes)) %>%
#> # A tibble: 5 x 2
#>   maker            num_planes
#>   <chr>                 <int>
#> 1 BOEING                 1276
#> 2 BOMBARDIER INC          368
#> 3 AIRBUS                  331
#> 4 EMBRAER                 298
#> 5 AIRBUS INDUSTRIE        270

In the SELECT statement, the names of data frames and columns are case-sensitive (like in R) and the names of keywords and function names are case-insensitive (like in SQL).

It is possible to use query() with dbplyr to query remote database tables (tbl_sql objects), but this depends on which database and which backend package (if any) you are using, so results may vary.

Current Limitations

tidyquery is subject to the current limitations of the queryparser package. Please see the Current Limitations section of the queryparser README on CRAN or GitHub.