compute()
materializes all tables in a dm
to new temporary
tables on the database.
collect()
downloads the tables in a dm
object as local tibbles.
Arguments
- x
A
dm
object.- ...
Passed on to
compute()
.- temporary
Must remain
TRUE
.- progress
Whether to display a progress bar, if
NA
(the default) hide in non-interactive mode, show in interactive mode. Requires the 'progress' package.
Details
Called on a dm
object, these methods create a copy of all tables in the dm
.
Depending on the size of your data this may take a long time.
To create permament tables, first create the database schema using copy_dm_to()
or dm_sql()
, and then use dm_rows_append()
.
Examples
financial <- dm_financial_sqlite()
financial %>%
pull_tbl(districts) %>%
dbplyr::remote_name()
#> [1] "districts"
# compute() copies the data to new tables:
financial %>%
compute() %>%
pull_tbl(districts) %>%
dbplyr::remote_name()
#> [1] "dbplyr_jZ5damuMv2"
# collect() returns a local dm:
financial %>%
collect() %>%
pull_tbl(districts) %>%
class()
#> [1] "tbl_df" "tbl" "data.frame"