Complex Unique Constraints with PostgreSQL Triggers in Ecto

John WilgerJohn Wilger
6 min read

Ecto makes it easy to work with typical uniqueness constraints in your database; you just define your table like this:

defmodule MyApp.Repo.Migrations.CreateFoos do
  use Ecto.Migration

  def change do
    create table(:foos) do
      add :name, :text, null: false
    end

    create unique_index(:foos, :name)
  end
end

and a module with a changeset validation for the uniqueness constraint, perhaps like:

defmodule MyApp.Foo do
  use Ecto.Schema

  import Ecto.Changeset

  schema "foos" do
    field :name, :string
  end

  def changeset(%__MODULE__{} = foo, %{} = changes) do
      foo
      |> cast(changes, [:name])
      |> unique_constraint(:name)
  end
end

Then, when you run:

result = MyApp.Foo.changeset(%MyApp.Foo{}, %{name: "bar"})
         |> MyApp.Repo.insert()

The Ecto library will attempt to insert your record, and if there is already a record where the name column is set to "bar", Ecto will see the uniqueness constraint violation error produced by the database and turn it into a validation error on your changeset, so that it would look something like:

{:error, %Ecto.Changeset{errors: [name: {"has already been taken", _}]}} = result

Something More Complex

I recently needed to enforce a database constraint similar in spirit to a unique index (if a record were in violation, I wanted the same behavior on the Elixir end of things—the changeset should report that the value for the field "has already been taken") however the criteria for what should be considered "unique" was more complex than what a simple unique index in PostgreSQL would be able to deal with.

Let's pretend we have a project that is managing meeting room reservations. The process for reserving a meeting room is as follows:

  1. The customer chooses a room and selects the time range for the reservation.
  2. Assuming the room is available at that time, the system places a hold on the room for 24 hours
  3. Within that 24-hour period, the customer pays for the room and completes some contractual information that must be signed by both the customer and the facility manager.
  4. Once the payment is complete and the contracts are signed, the reservation is confirmed.

Here, then, are the business rules for creating a reservation:

  • A room reservation cannot be made for a given room and time-period if there exists another room reservation for that same room with an overlapping time-period and the existing reservation is in a "confirmed" status.

  • A room reservation cannot be made for a given room and time-period if there exists another room reservation for that same room with an overlapping time-period, the existing reservation is in a "hold" status, and the existing reservation was created within the last 24 hours.

We decide to store the room reservations in a table defined as:

defmodule Meetings.Repo.Migrations.CreateRoomReservations do
  use Ecto.Migration

  def change do
    create table(:room_reservations) do
      add :customer_id, :binary_id, null: false
      add :room_id, :binary_id, null: false
      add :reservation_starts_at, :timestamp, null: false
      add :reservation_ends_at, :timestamp, null: false
      add :status, :text, null: false, default: "hold"
      timestamps()
    end
  end
end

and ideally, we'd like to be able to model the RoomReservation in Elixir as:

defmodule Meetings.RoomReservation do
  use Ecto.Schema

  import Ecto.Changeset

  schema "room_reservations" do
    field :customer_id, :binary_id
    field :room_id, :binary_id
    field :reservation_starts_at, :utc_datetime
    field :reservation_ends_at, :utc_datetime
    field :status, :string
    timestamps()
  end

  def create(%{} = res_data) do
    %__MODULE__{}
    |> cast(res_data, [:customer_id, :room_id, :reservation_starts_at, :reservation_ends_at])
    |> validate_required([:customer_id, :room_id, :reservation_starts_at, :reservation_ends_at])
    |> put_change(:status, "hold")
    |> unique_constraint(:room_id, message: "has already been reserved")
    |> Meeting.Repo.insert()
  end
end

with the interesting bit being the |> unique_constraint(:room_id) line. When a customer tries to reserve a room that is already reserved for the given time period, we want the Meeting.RoomReservation.create/1 function to return with a validation error:

%{:error, %Ecto.Changeset{errors: [room_id: {"has already been reserved", _}]}} =
  Meetings.RoomReservation.create(%{
    customer_id: "0af5716a-c3d2-4d4c-87f5-9fed9b2515d4",
    room_id: "2c0d6242-3585-40cb-be92-a1818c0f4a73",
    reservation_starts_at: DateTime.from_naive!(~N[2020-01-01 8:00:00], "Etc/UTC"),
    reservation_ends_at: DateTime.from_naive!(~N[2020-01-01 17:00:00], "Etc/UTC")
  })

Clearly, according to the business rules for the system, we can't just put a unique index on the room_id column. To the best of my knowledge, an exclusion constraint also won't work here, because of the need to not check against any rows that have a status of "hold" and an inserted_at timestamp that is more than 24 hours ago relative to the current time. It is however possible to use a trigger function to enforce the constraint in the database:

defmodule Meetings.Repo.Migrations.CreateRoomReservations do
  use Ecto.Migration

  def change do
    create table(:room_reservations) do
      add :customer_id, :binary_id, null: false
      add :room_id, :binary_id, null: false
      add :reservation_starts_at, :timestamp, null: false
      add :reservation_ends_at, :timestamp, null: false
      add :status, :text, null: false, default: "hold"
      timestamps()
    end

    execute(
      # up
      ~S"""
      CREATE FUNCTION room_reservations_check_room_availability() RETURNS TRIGGER AS
      $$
      BEGIN
      IF EXISTS(
        SELECT 1
        FROM room_reservations rr
        WHERE rr.room_id = NEW.room_id
          AND tsrange(rr.reservation_starts_at, rr.reservation_ends_at, '[]') &&
              tsrange(NEW.reservation_starts_at, NEW.reservation_ends_at, '[]')
          AND (
            rr.status = 'confirmed'
              OR rr.inserted_at > CURRENT_TIMESTAMP - interval '24 hours'
          )
      )
      THEN
        RAISE "room already reserved";
      END IF;
      RETURN NEW;
      END;
      $$ language plpgsql;
      """,

      # down
      "DROP FUNCTION room_reservations_check_room_availability;"
    )

    execute(
      # up
      ~S"""
      CREATE TRIGGER room_reservations_room_availability_check
      BEFORE INSERT ON room_reservations
      FOR EACH ROW
      EXECUTE PROCEDURE room_reservations_check_room_availability();
      """,

      # down
      "DROP TRIGGER room_reservations_room_availability_check ON room_reservations;"
    )
  end
end

The problem is that instead of that nice validation error on the changeset that we want to get, we instead end up with an unhandled Postgrex.Error exception. We could, of course, simply rescue that exception in our Meetings.RoomReservation.create/1 function and add the error to the changeset ourselves, but that starts to look a little ugly:

defmodule Meetings.RoomReservation do
  # ...

  def create(%{} = res_data) do
    changeset =
      %__MODULE__{}
      |> cast(res_data, [:customer_id, :room_id, :reservation_starts_at, :reservation_ends_at])
      |> validate_required([:customer_id, :room_id, :reservation_starts_at, :reservation_ends_at])
      |> put_change(:status, "hold")
    Meeting.Repo.insert(changeset)
  rescue
    error in Postgrex.Error ->
      case error do
        %{postgres: %{message: "room already reserved"}} ->
          changeset
          |> add_error(:room_id, "has already been reserved")
      end
  end
end

TL;DR - It's All About the Raise

Knowing that Ecto.Changeset.unique_constraint/3 works by intercepting an error raised by the database, I set out to see if I could implement the complex unique constraint logic in the database and still be able to use the Ecto.Changeset.unique_constraint/3 validation without needing to modify any Elixir code. Looking at the relevant code in ecto_sql, we can see that the trick to getting the room_reservations_check_room_availability functionality to work with that function is to change the PostgreSQL exception to use the correct error code as well as a constraint name that is linked with the changeset validation. We can redifine the PostgreSQL function as:

CREATE FUNCTION room_reservations_check_room_availability() RETURNS TRIGGER AS
$$
BEGIN
IF EXISTS(
  SELECT 1
  FROM room_reservations rr
  WHERE rr.room_id = NEW.room_id
    AND tsrange(rr.reservation_starts_at, rr.reservation_ends_at, '[]') &&
        tsrange(NEW.reservation_starts_at, NEW.reservation_ends_at, '[]')
    AND (
      rr.status = 'confirmed'
        OR rr.inserted_at > CURRENT_TIMESTAMP - interval '24 hours'
    )
)
THEN
  RAISE unique_violation
    USING CONSTRAINT = 'room_reservations_room_reserved';
END IF;
RETURN NEW;
END;
$$ language plpgsql;

and then add the :name option to our unique_constraint in the changeset validation:

defmodule Meetings.RoomReservation do
  #...

  def create(%{} = res_data) do
    %__MODULE__{}
    |> cast(res_data, [:customer_id, :room_id, :reservation_starts_at, :reservation_ends_at])
    |> validate_required([:customer_id, :room_id, :reservation_starts_at, :reservation_ends_at])
    |> put_change(:status, "hold")
    |> unique_constraint(:room_id,
                         message: "has already been reserved",
                         name: "room_reservations_room_reserved")
    |> Meeting.Repo.insert()
  end
end
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Written by

John Wilger
John Wilger

Dynamic and strategic Senior Engineering Leader with over 20 years of experience in driving technical innovation and leading high-performing engineering teams. Adept at developing and executing technology strategies that align with corporate goals. Proven track record in scaling engineering departments, fostering a culture of excellence, and steering cross-functional teams towards achieving remarkable results. Passionate about leveraging technology to solve complex problems and deliver exceptional value. As a seasoned engineering leader, I believe in fostering a culture of innovation, collaboration, and continuous improvement. I am committed to building inclusive teams where each member feels valued and empowered to contribute their best work. My leadership approach is rooted in open communication, transparency, and a deep understanding of both technological trends and business needs. I prioritize mentorship and professional growth, ensuring that teams are equipped to meet the evolving challenges in the tech landscape.