currently I am using dplyr and dplyr.snowflakedb to manipulate some data in Snowflake.
Although this solution is proving nice to query data I am facing a challenge:
Is it possible to use string sql statements with this solution ? Namely to create tables ?
That is can I use a character "CREATE TABLE my_table AS select * from table 1" to generate a new table in the database ?
thanks in advance
You can convert the remote tibble into an SQL query with dbplyr::sql_render() and glue it together with glue::glue_sql() like this:
# Create an ephemeral in-memory RSQLite database
conn <- DBI::dbConnect(RSQLite::SQLite(), ":memory:")
dplyr::copy_to(conn, mtcars, overwrite = TRUE)
remote_tbl <- dplyr::tbl(conn, 'mtcars')
remote_tbl
#> # Source: table<mtcars> [?? x 11]
#> # Database: sqlite 3.30.1 [: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
#> # … with more rows
modified_tbl <- remote_tbl %>%
dplyr::select(cyl)
select_query <- dbplyr::sql_render(modified_tbl)
table <- 'mtcars2'
insert_statement <- glue::glue_sql(
"create table {`table`} as {DBI::SQL(select_query)}",
.con = conn
)
DBI::dbExecute(conn, insert_statement)
#> [1] 0
DBI::dbListTables(conn)
#> [1] "mtcars" "mtcars2" "sqlite_stat1" "sqlite_stat4"
Created on 2020-11-25 by the reprex package (v0.3.0)
In general, {dplyr} was not designed to write anything back or update tables. {dm} might take this spot. Consider recent developments in the {dm} package, in particular this vignette on insertion.
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