Force computation of a database query

compute() stores results in a remote temporary table. collect() retrieves data into a local tibble. collapse() is slightly different: it doesn't force computation, but instead forces generation of the SQL query. This is sometimes needed to work around bugs in dplyr's SQL generation.

compute(x, name = random_table_name(), ...)

collect(x, ...)

collapse(x, ...)

Arguments

x	A tbl
name	Name of temporary table on database.
...	Other arguments passed on to methods

Details

All functions preserve grouping and ordering.

See also

copy_to(), the opposite of collect(): it takes a local data frame and uploads it to the remote source.

Examples

if (require(dbplyr)) {
  mtcars2 <- src_memdb() %>%
    copy_to(mtcars, name = "mtcars2-cc", overwrite = TRUE)

  remote <- mtcars2 %>%
    filter(cyl == 8) %>%
    select(mpg:drat)

  # Compute query and save in remote table
  compute(remote)

  # Compute query bring back to this session
  collect(remote)

  # Creates a fresh query based on the generated SQL
  collapse(remote)
}
#> Loading required package: dbplyr
#> Warning: there is no package called ‘dbplyr’