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The goal of the {dm} package and the dm
class that comes
with it, is to make your life easier when you are dealing with data from
several different tables.
Let’s take a look at the dm
class.
dm
The dm
class consists of a collection of tables and
metadata about the tables, such as
All tables in a dm
must be obtained from the same data
source; csv files and spreadsheets would need to be imported to data
frames in R.
dm
objectsThere are currently three options available for creating a
dm
object. The relevant functions for creating
dm
objects are:
dm()
as_dm()
new_dm()
dm_from_con()
To illustrate these options, we will now create the same
dm
in several different ways. We can use the tables from
the well-known {nycflights13} package.
Create a dm
object directly by providing data frames to
dm()
:
dm
Start with an empty dm
object that has been created with
dm()
or new_dm()
, and add tables to that
object:
Turn a named list of tables into a dm
with
as_dm()
:
src
into a dm
Squeeze all (or a subset of) tables belonging to a src
object into a dm
using dm_from_con()
:
The function dm_from_con(con, table_names = NULL)
includes all available tables on a source in the dm
object.
This means that you can use this, for example, on a postgres database
that you access via DBI::dbConnect(RPostgres::Postgres())
(with the appropriate arguments dbname
, host
,
port
, …), to produce a dm
object with all the
tables on the database.
Another way of creating a dm
object is calling
new_dm()
on a list of tbl
objects:
base_dm <- new_dm(list(
airlines = airlines,
airports = airports,
flights = flights,
planes = planes,
weather = weather
))
base_dm
This constructor is optimized for speed and does not perform
integrity checks. Use with caution, validate using
dm_validate()
if necessary.
We can get the list of tables with dm_get_tables()
and
the src
object with dm_get_con()
.
In order to pull a specific table from a dm
, use:
But how can we use {dm}-functions to manage the primary keys of the
tables in a dm
object?
dm
objectsSome useful functions for managing primary key settings are:
dm_add_pk()
dm_get_all_pks()
dm_rm_pk()
dm_enum_pk_candidates()
If you created a dm
object according to the examples in
“Examples of dm
objects”, your object
does not yet have any primary keys set. So let’s add one.
We use the nycflights13
tables,
i.e. flights_dm
from above.
dm_has_pk(flights_dm, airports)
flights_dm_with_key <- dm_add_pk(flights_dm, airports, faa)
flights_dm_with_key
The dm
now has a primary key:
To get an overview over all tables with primary keys, use
dm_get_all_pks()
:
Remove a primary key:
If you still need to get to know your data better, and it is already
available in the form of a dm
object, you can use the
dm_enum_pk_candidates()
function in order to get
information about which columns of the table are unique keys:
The flights
table does not have any one-column primary
key candidates:
dm_add_pk()
has a check
argument. If set to
TRUE
, the function checks if the column of the table given
by the user is unique. For performance reasons, the default is
check = FALSE
. See also [dm_examine_constraints()] for
checking all constraints in a dm
.
Useful functions for managing foreign key relations include:
dm_add_fk()
dm_get_all_fks()
dm_rm_fk()
dm_enum_fk_candidates()
Now it gets (even more) interesting: we want to define relations
between different tables. With the dm_add_fk()
function you
can define which column of which table points to another table’s
column.
This is done by choosing a foreign key from one table that will point
to a primary key of another table. The primary key of the referred table
must be set with dm_add_pk()
. dm_add_fk()
will
find the primary key column of the referenced table by itself and make
the indicated column of the child table point to it.
This will throw an error:
Let’s create a dm
object with a foreign key relation to
work with later on:
What if we tried to add another foreign key relation from
flights
to airports
to the object? Column
dest
might work, since it also contains airport codes:
Checks are opt-in and executed only if check = TRUE
. You
can still add a foreign key with the default check = FALSE
.
See also dm_examine_constraints()
for checking all
constraints in a dm
.
Get an overview of all foreign key relations
withdm_get_all_fks()
:
Remove foreign key relations with dm_rm_fk()
(parameter
columns = NULL
means that all relations will be removed,
with a message):
try(
flights_dm_with_fk %>%
dm_rm_fk(table = flights, column = dest, ref_table = airports) %>%
dm_get_all_fks(c(flights, airports))
)
flights_dm_with_fk %>%
dm_rm_fk(flights, origin, airports) %>%
dm_get_all_fks(c(flights, airports))
flights_dm_with_fk %>%
dm_rm_fk(flights, columns = NULL, airports) %>%
dm_get_all_fks(c(flights, airports))
Since the primary keys are defined in the dm
object, you
do not usually need to provide the referenced column name of
ref_table
.
Another function for getting to know your data better
(cf. dm_enum_pk_candidates()
in “Primary keys
of dm
objects”) is
dm_enum_fk_candidates()
. Use it to get an overview over
foreign key candidates that point from one table to another:
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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