in_schema() and in_catalog() can be used to refer to tables outside of
the current catalog/schema. However, we now recommend using I() as it's
typically less typing.
Arguments
- catalog, schema, table
Names of catalog, schema, and table. These will be automatically quoted; use
sql()to pass a raw name that won't get quoted.
Examples
# Previously:
in_schema("my_schema", "my_table")
#> <SCHEMA> `my_schema`.`my_table`
in_catalog("my_catalog", "my_schema", "my_table")
#> <CATALOG> `my_catalog`.`my_schema`.`my_table`
in_schema(sql("my_schema"), sql("my_table"))
#> <SCHEMA> my_schema.my_table
# Now
I("my_schema.my_table")
#> [1] "my_schema.my_table"
I("my_catalog.my_schema.my_table")
#> [1] "my_catalog.my_schema.my_table"
I("my_schema.my_table")
#> [1] "my_schema.my_table"
# Example using schemas with SQLite
con <- DBI::dbConnect(RSQLite::SQLite(), ":memory:")
# Add auxiliary schema
tmp <- tempfile()
DBI::dbExecute(con, paste0("ATTACH '", tmp, "' AS aux"))
#> [1] 0
library(dplyr, warn.conflicts = FALSE)
copy_to(con, iris, "df", temporary = FALSE)
copy_to(con, mtcars, I("aux.df"), temporary = FALSE)
con %>% tbl("df")
#> # Source: table<`df`> [?? x 5]
#> # Database: sqlite 3.47.1 [:memory:]
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> <dbl> <dbl> <dbl> <dbl> <chr>
#> 1 5.1 3.5 1.4 0.2 setosa
#> 2 4.9 3 1.4 0.2 setosa
#> 3 4.7 3.2 1.3 0.2 setosa
#> 4 4.6 3.1 1.5 0.2 setosa
#> 5 5 3.6 1.4 0.2 setosa
#> 6 5.4 3.9 1.7 0.4 setosa
#> 7 4.6 3.4 1.4 0.3 setosa
#> 8 5 3.4 1.5 0.2 setosa
#> 9 4.4 2.9 1.4 0.2 setosa
#> 10 4.9 3.1 1.5 0.1 setosa
#> # ℹ more rows
con %>% tbl(I("aux.df"))
#> # Source: table<aux.df> [?? x 11]
#> # Database: sqlite 3.47.1 [:memory:]
#> 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
#> 9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
#> 10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
#> # ℹ more rows