Modifying rows for multiple tables

These functions provide a framework for updating data in existing tables. Unlike compute(), copy_to() or copy_dm_to(), no new tables are created on the database. All operations expect that both existing and new data are presented in two compatible dm objects on the same data source.

The functions make sure that the tables in the target dm are processed in topological order so that parent (dimension) tables receive insertions before child (fact) tables.

These operations, in contrast to all other operations, may lead to irreversible changes to the underlying database. Therefore, in-place operation must be requested explicitly with in_place = TRUE. By default, an informative message is given.

dm_rows_insert() adds new records via rows_insert() with conflict = "ignore". Duplicate records will be silently discarded. This operation requires primary keys on all tables, use dm_rows_append() to insert unconditionally.

dm_rows_append() adds new records via rows_append(). The primary keys must differ from existing records. This must be ensured by the caller and might be checked by the underlying database. Use in_place = FALSE and apply dm_examine_constraints() to check beforehand.

dm_rows_update() updates existing records via rows_update(). Primary keys must match for all records to be updated.

dm_rows_patch() updates missing values in existing records via rows_patch(). Primary keys must match for all records to be patched.

dm_rows_upsert() updates existing records and adds new records, based on the primary key, via rows_upsert().

dm_rows_delete() removes matching records via rows_delete(), based on the primary key. The order in which the tables are processed is reversed.

Usage

dm_rows_insert(x, y, ..., in_place = NULL, progress = NA)

dm_rows_append(x, y, ..., in_place = NULL, progress = NA)

dm_rows_update(x, y, ..., in_place = NULL, progress = NA)

dm_rows_patch(x, y, ..., in_place = NULL, progress = NA)

dm_rows_upsert(x, y, ..., in_place = NULL, progress = NA)

dm_rows_delete(x, y, ..., in_place = NULL, progress = NA)

Arguments

x

Target dm object.

y

dm object with new data.

...

These dots are for future extensions and must be empty.

in_place

Should x be modified in place? This argument is only relevant for mutable backends (e.g. databases, data.tables).

When TRUE, a modified version of x is returned invisibly; when FALSE, a new object representing the resulting changes is returned.

progress

Whether to display a progress bar, if NA (the default) hide in non-interactive mode, show in interactive mode. Requires the 'progress' package.

Value

A dm object of the same dm_ptype() as x. If in_place = TRUE, the underlying data is updated as a side effect, and x is returned, invisibly.

Examples

# Establish database connection:
sqlite <- DBI::dbConnect(RSQLite::SQLite())

# Entire dataset with all dimension tables populated
# with flights and weather data truncated:
flights_init <-
  dm_nycflights13() %>%
  dm_zoom_to(flights) %>%
  filter(FALSE) %>%
  dm_update_zoomed() %>%
  dm_zoom_to(weather) %>%
  filter(FALSE) %>%
  dm_update_zoomed()

# Target database:
flights_sqlite <- copy_dm_to(sqlite, flights_init, temporary = FALSE)
print(dm_nrow(flights_sqlite))
#> airlines airports  flights   planes  weather 
#>       15       86        0      945        0 

# First update:
flights_jan <-
  dm_nycflights13() %>%
  dm_select_tbl(flights, weather) %>%
  dm_zoom_to(flights) %>%
  filter(month == 1) %>%
  dm_update_zoomed() %>%
  dm_zoom_to(weather) %>%
  filter(month == 1) %>%
  dm_update_zoomed()
print(dm_nrow(flights_jan))
#> flights weather 
#>     932      72 

# Copy to temporary tables on the target database:
flights_jan_sqlite <- copy_dm_to(sqlite, flights_jan)

# Dry run by default:
dm_rows_append(flights_sqlite, flights_jan_sqlite)
#> Result is returned as a dm object with lazy tables. Use `in_place = FALSE` to mute this message, or `in_place = TRUE` to write to the underlying tables.
#> ── Table source ────────────────────────────────────────────────────────────────
#> src:  sqlite 3.46.0 []
#> ── Metadata ────────────────────────────────────────────────────────────────────
#> Tables: `airlines`, `airports`, `flights`, `planes`, `weather`
#> Columns: 53
#> Primary keys: 4
#> Foreign keys: 4
print(dm_nrow(flights_sqlite))
#> airlines airports  flights   planes  weather 
#>       15       86        0      945        0 

# Explicitly request persistence:
dm_rows_append(flights_sqlite, flights_jan_sqlite, in_place = TRUE)
print(dm_nrow(flights_sqlite))
#> airlines airports  flights   planes  weather 
#>       15       86      932      945       72 

# Second update:
flights_feb <-
  dm_nycflights13() %>%
  dm_select_tbl(flights, weather) %>%
  dm_zoom_to(flights) %>%
  filter(month == 2) %>%
  dm_update_zoomed() %>%
  dm_zoom_to(weather) %>%
  filter(month == 2) %>%
  dm_update_zoomed()

# Copy to temporary tables on the target database:
flights_feb_sqlite <- copy_dm_to(sqlite, flights_feb)

# Explicit dry run:
flights_new <- dm_rows_append(
  flights_sqlite,
  flights_feb_sqlite,
  in_place = FALSE
)
print(dm_nrow(flights_new))
#> airlines airports  flights   planes  weather 
#>       15       86     1761      945      144 
print(dm_nrow(flights_sqlite))
#> airlines airports  flights   planes  weather 
#>       15       86      932      945       72 

# Check for consistency before applying:
flights_new %>%
  dm_examine_constraints()
#> ! Unsatisfied constraints:
#> • Table `flights`: foreign key `tailnum` into table `planes`: values of `flights$tailnum` not in `planes$tailnum`: N725MQ (6), N537MQ (5), N722MQ (5), N730MQ (5), N736MQ (5), …

# Apply:
dm_rows_append(flights_sqlite, flights_feb_sqlite, in_place = TRUE)
print(dm_nrow(flights_sqlite))
#> airlines airports  flights   planes  weather 
#>       15       86     1761      945      144 

DBI::dbDisconnect(sqlite)