View Source Introduction to Cldr Units SQL
ex_cldr_units_sql
implements a set of functions to store and retrieve data structured as a Cldr.Unit.t()
type that represents a unit of measure and a value. See ex_cldr_units for details of using Cldr.Unit
. Note that ex_cldr_units_sql
depends on ex_cldr_units
.
Prerequisities
ex_cldr_units_sql
is supported on Elixir 1.11 and later only.
Make sure the Ecto type and the database type match!
It's important that the Ecto type
Cldr.Unit.Ecto.Composite.Type
is matched with the correct database type in the migration::cldr_unit
or:cldr_unit_with_usage
. SimilarlyCldr.Unit.Ecto.Map.Type
must be matched with the database type:map
in the migration.
Serializing to a Postgres database with Ecto
ex_cldr_units_sql
provides custom Ecto data types and two custom Postgres data types to provide serialization of Cldr.Unit.t
types without losing precision whilst also maintaining the integrity of the {unit, value}
relationship. To serialise and retrieve unit types from a database the following steps should be followed:
- First generate the migration to create the custom type:
mix units.gen.postgres.cldr_units_migration
* creating priv/repo/migrations
* creating priv/repo/migrations/20161007234652_add_cldr_unit_type_to_postgres.exs
- Then migrate the database:
mix ecto.migrate
21:01:29.527 [info] == Running 20200517121207 Cldr.Unit.SQL.Repo.Migrations.AddCldrUnitTypeToPostgres.up/0 forward
21:01:29.529 [info] execute "CREATE TYPE public.cldr_unit AS (unit varchar, value numeric);"
21:01:29.532 [info] execute "CREATE TYPE public.cldr_unit_with_usage AS (unit varchar, value numeric, usage varchar);"
21:01:29.546 [info] == Migrated 20200517121207 in 0.0s
- Create your database migration with the new type (don't forget to
mix ecto.migrate
as well):
defmodule Cldr.Unit.Repo.Migrations.CreateProduct do
use Ecto.Migration
def change do
create table(:products) do
add :weight, :cldr_unit
add :length, :cldr_unit_with_usage
timestamps()
end
end
end
- Create your schema using the
Cldr.Unit.Ecto.Composite.Type
ecto type:
defmodule Product do
use Ecto.Schema
schema "products" do
field :weight, Cldr.Unit.Ecto.Composite.Type
field :length, Cldr.UnitWithUsage.Ecto.Composite.Type
timestamps()
end
end
- Insert into the database:
iex> Repo.insert %Product{weight: Cldr.Unit.new(:kilogram, Decimal.new(100))}
[debug] QUERY OK db=4.5ms
INSERT INTO "products" ("value","inserted_at","updated_at") VALUES ($1,$2,$3)
[{"meter", #Decimal<100>}, {{2016, 10, 7}, {23, 12, 13, 0}}, {{2016, 10, 7}, {23, 12, 13, 0}}]
- Retrieve from the database:
iex> Repo.all Product
[debug] QUERY OK source="products" db=5.3ms decode=0.1ms queue=0.1ms
SELECT p0."amount", p0."inserted_at", p0."updated_at" FROM "products" AS p0 []
[%Product{__meta__: #Ecto.Schema.Metadata<:loaded, "products">, weight: #Cldr.Unit<:meter, 100>,
inserted_at: ~N[2017-02-21 00:15:40.979576],
updated_at: ~N[2017-02-21 00:15:40.991391]}]
Serializing to a MySQL (or other non-Postgres) database with Ecto
Since MySQL does not support composite types, the :map
type is used which in MySQL is implemented as a JSON
column. The currency code and amount are serialised into this column.
defmodule Cldr.Unit.Repo.Migrations.CreateProduct do
use Ecto.Migration
def change do
create table(:products) do
add :weight_map, :map
add :length_map, :map
timestamps()
end
end
end
Create your schema using the Cldr.Unit.Ecto.Map.Type
ecto type:
defmodule Product do
use Ecto.Schema
schema "products" do
field :weight_map, Cldr.Unit.Ecto.Map.Type
field :length_map, Cldr.UnitWithUsage.Ecto.Map.Type
timestamps()
end
end
Insert into the database:
iex> Repo.insert %Product{weight_map: Cldr.Unit.new!(:kilogram, 100)}
[debug] QUERY OK db=25.8ms
INSERT INTO "products" ("weight_map","inserted_at","updated_at") VALUES ($1,$2,$3)
RETURNING "id" [%{value: "100", unit: "kilogram"},
{{2017, 2, 21}, {0, 15, 40, 979576}}, {{2017, 2, 21}, {0, 15, 40, 991391}}]
{:ok,
%Product{__meta__: #Ecto.Schema.Metadata<:loaded, "products">,
amount: nil, weight_map: #Cldr.Unit<:kilogram, 100>, id: 3,
inserted_at: ~N[2017-02-21 00:15:40.979576],
updated_at: ~N[2017-02-21 00:15:40.991391]}}
Retrieve from the database:
iex> Repo.all Product
[debug] QUERY OK source="products" db=16.1ms decode=0.1ms
SELECT t0."id", t0."weight_map", t0."inserted_at", t0."updated_at" FROM "products" AS t0 []
[%Ledger{__meta__: #Ecto.Schema.Metadata<:loaded, "products">,
weight_map: #Cldr.Unit<:kilogram, 100>, id: 3,
inserted_at: ~N[2017-02-21 00:15:40.979576],
updated_at: ~N[2017-02-21 00:15:40.991391]}]
Notes:
In order to preserve precision of the decimal amount, the amount part of the
Cldr.Unit.t()
struct is serialised as a string. This is done because JSON serializes numeric values as eitherinteger
orfloat
, neither of which would preserve precision of a decimal value.The precision of the serialized string value is affected by the setting of
Decimal.get_context
. The default is 28 digits which should cater for your requirements.Serializing the amount as a string means that SQL query arithmetic and equality operators will not work as expected. You may find that
CAST
ing the string value will restore some of that functionality. For example:
CAST(JSON_EXTRACT(amount_map, '$.value') AS DECIMAL(20, 8)) AS amount;
Postgres Database functions
Since the datatype used to store Cldr.Unit
in Postgres is a composite type (called :cldr_unit
), the standard aggregation functions like sum
and average
are not supported and the order_by
clause doesn't perform as expected. ex_cldr_units_sql
provides mechanisms to provide these functions.
Aggregate functions: sum()
ex_cldr_unit_sql
provides a migration generator which, when migrated to the database with mix ecto.migrate
, supports performing sum()
aggregation on :cldr_unit
types. The steps are:
Generate the migration by executing
mix units.gen.postgres.aggregate_functions
Migrate the database by executing
mix ecto.migrate
Formulate an Ecto query to use the aggregate function
sum()
# Formulate the query. Note the required use of the type()
# expression which is needed to inform Ecto of the return
# type of the function
iex> q = Ecto.Query.select Product, [p], type(sum(p.weight), p.weight)
#Ecto.Query<from p in Product select: type(sum(p.weight), p.weight)>
iex> Repo.all q
[debug] QUERY OK source="products" db=6.1ms
SELECT sum(p0."weight")::cldr_unit_with_usage FROM "products" AS l0 []
[#Cldr.Unit<:meter, 600>]
The function Repo.aggregate/3
can also be used. However at least ecto version 3.2.4 is required for this to work correctly for custom ecto types such as :cldr_unit
.
iex> Repo.aggregate(Product, :sum, :weight)
#Cldr.Unit<:kilogram, 100>
Note that to preserve the integrity of Cldr.Unit
it is not permissible to aggregate units that has different unit types. If you attempt to aggregate unit with different unit types the query will abort and an exception will be raised:
iex> Repo.all q
[debug] QUERY ERROR source="products" db=4.5ms
SELECT sum(p0."weight")::cldr_unit_with_usage FROM "products" AS p0 []
** (Postgrex.Error) ERROR 22033 (): Incompatible units. Expected all units to be :kilogram
Order_by with cldr_unit type
Since :cldr_unit
is a composite type, the default order_by
results may surprise since the ordering is based upon the type structure, not the unit value. Postgres defines a means to access the components of a composite type and therefore sorting can be done in a more predictable fashion. For example:
# In this example we are decomposing the the composite column called
# `price` and using the sub-field `value` to perform the ordering.
iex> q = from p in Product, select: p.weight, order_by: fragment("value(weight)")
#Ecto.Query<from p in Product, order_by: [asc: fragment("value(weight)")],
select: p.weight>
iex> Repo.all q
[debug] QUERY OK source="products" db=2.0ms
SELECT p0."weight" FROM "products" AS p0 ORDER BY value(weight) []
[#Cldr.Unit<:kilogram, 100>, #Cldr.Unit<:pound, 200>,
#Cldr.Unit<:pound, 300>, #Cldr.Unit<:kilogram, 300>]
Note that the results may still be unexpected. The example above shows the correct ascending ordering by value(weight)
however the ordering is not unit aware and therefore mixed units will return a largely meaningless order.
Installation
ex_cldr_units_sql
can be installed by adding ex_cldr_units_sql
to your list of dependencies in mix.exs
and then executing mix deps.get
def deps do
[
{:ex_cldr_units_sql, "~> 1.0"},
...
]
end