Bombadil

You know, for (PostgreSQL) search

Bombadil is a tiny wrapper around some PostgreSQL search capabilities.

It supports exact match through PostgreSQL tsvector(s) and fuzzy search inside jsonb fields.

Installation

The package can be installed by adding bombadil to your list of dependencies in mix.exs:

def deps do
  [
    {:bombadil, "~> 0.2"}
  ]
end

Documentation is at https://hexdocs.pm/bombadil

Preparation

Assuming that you have generated a migration with a "search_index" table

Basic Usage

(Almost) Exact match of an indexed word or sequence of words

alias Bombadil.Ecto.Schema.SearchIndex

iex> YourRepo.insert_or_update(Bombadil.index(SearchIndex, payload: %{"book" => "Lord of the Rings"}))
# Raw SQL: INSERT INTO "search_index" ("payload") VALUES ('{"book": "Lord of the Rings"}')
{:ok, struct}

# Full string provided
iex> YourRepo.all(Bombadil.search(SearchIndex, "Lord of the Rings"))
# Raw SQL: SELECT s0."id", s0."payload" FROM "search_index" AS s0 WHERE (to_tsvector('simple', payload::text) @@ plainto_tsquery('simple', 'Lord of the Rings'))
[
  %Bombadil.Ecto.Schema.SearchIndex{
    __meta__: #Ecto.Schema.Metadata<:loaded, "search_index">,
    payload: %{"book" => "Lord of the Rings"},
    id: 1
  }
]

# One word provided (treated as case-insensitive)

iex> YourRepo.all(Bombadil.search(SearchIndex, "lord"))
# Raw SQL: SELECT s0."id", s0."payload" FROM "search_index" AS s0 WHERE (to_tsvector('simple', payload::text) @@ plainto_tsquery('simple', 'lord'))
[
  %Bombadil.Ecto.Schema.SearchIndex{
    __meta__: #Ecto.Schema.Metadata<:loaded, "search_index">,
    payload: %{"book" => "Lord of the Rings"},
    id: 1
  }
]

# No results

iex> YourRepo.all(Bombadil.search(SearchIndex, "lordz"))
# Raw SQL: SELECT s0."id", s0."payload" FROM "search_index" AS s0 WHERE (to_tsvector('simple', payload::text) @@ plainto_tsquery('simple', 'lordz'))
[]

Fuzzy match

iex> YourRepo.all(Bombadil.fuzzy_search(SearchIndex, "lord of the ringz"))
# Raw SQL: SELECT s0."id", s0."payload" FROM "search_index" AS s0 WHERE (payload::text %> 'lord of the ringz')
[
  %Bombadil.Ecto.Schema.SearchIndex{
    __meta__: #Ecto.Schema.Metadata<:loaded, "search_index">,
    payload: %{"book" => "Lord of the Rings"},
    id: 1
  }
]

# No results

iex> YourRepo.all(Bombadil.fuzzy_search(SearchIndex, "lard of the ringz asdf"))
# Raw SQL: SELECT s0."id", s0."payload" FROM "search_index" AS s0 WHERE (payload::text %> 'lord of the ringz asdf')
[]

Match a specific field inside the indexed jsonb field

(Almost) Exact match

iex> YourRepo.insert_or_update(Bombadil.index(SearchIndex, payload: %{"character" => "Tom Bombadil"}))
{:ok, struct}
iex> YourRepo.all(Bombadil.search(SearchIndex, [%{"book" => "rings"}]))
# Raw SQL: SELECT s0."id", s0."payload" FROM "search_index" AS s0 WHERE (FALSE OR to_tsvector('simple', (payload->'book')::text) @@ plainto_tsquery('simple', 'rings'))
[
  %Bombadil.Ecto.Schema.SearchIndex{
    __meta__: #Ecto.Schema.Metadata<:loaded, "search_index">,
    payload: %{"book" => "Lord of the Rings"},
    id: 1
  }
]
iex> YourRepo.all(Bombadil.search(SearchIndex, [%{"character" => "bombadil"}]))
# Raw SQL: SELECT s0."id", s0."payload" FROM "search_index" AS s0 WHERE (FALSE OR to_tsvector('simple', (payload->'character')::text) @@ plainto_tsquery('simple', 'bombadil'))
[
  %Bombadil.Ecto.Schema.SearchIndex{
    __meta__: #Ecto.Schema.Metadata<:loaded, "search_index">,
    payload: %{"character" => "Tom Bombadil"},
    id: 3
  }
]

Fuzzy match

iex> YourRepo.all(Bombadil.fuzzy_search(SearchIndex, [%{"book" => "lard"}]))
# Raw SQL: SELECT s0."id", s0."payload" FROM "search_index" AS s0 WHERE (FALSE OR (payload->'book')::text %> 'lard')
[
  %Bombadil.Ecto.Schema.SearchIndex{
    __meta__: #Ecto.Schema.Metadata<:loaded, "search_index">,
    payload: %{"book" => "Lord of the Rings"},
    id: 1
  }
]
iex> YourRepo.all(Bombadil.fuzzy_search(SearchIndex, [%{"character" => "tom bomba"}]))
# Raw SQL: SELECT s0."id", s0."payload" FROM "search_index" AS s0 WHERE (FALSE OR (payload->'character')::text %> 'tom bomba')
[
  %Bombadil.Ecto.Schema.SearchIndex{
    __meta__: #Ecto.Schema.Metadata<:loaded, "search_index">,
    payload: %{"character" => "Tom Bombadil"},
    id: 3
  }
]
iex> YourRepo.all(Bombadil.fuzzy_search(SearchIndex, [%{"book" => "tom"}]))
# Raw SQL: SELECT s0."id", s0."payload" FROM "search_index" AS s0 WHERE (FALSE OR (payload->'book')::text %> 'tom bomba')
[]

Matching search results with an additional context

Given a search_index that has also an item_id field as an additional context for filtering, let's suppose you index also the item_id and you might have the same item_id for another entry with different payload field like in this snippet:

iex> YourRepo.insert_or_update(Bombadil.index(SearchIndex, item_id: 42, payload: %{"ask" => "lord of the rings"}))
iex> YourRepo.insert_or_update(Bombadil.index(SearchIndex, item_id: 42, payload: %{"ask" => "I am hiding with the same id, don't find me!"}))

You can apply a search and a context to filter a specific id, in this case item_id is 42 and the payload that is "hiding" is filtered out.

iex> YourRepo.all(Bombadil.fuzzy_search(SearchIndex, "lord of the ringz", context: %{item_id: 42}))
[
  %Bombadil.Ecto.Schema.SearchIndex{
    __meta__: #Ecto.Schema.Metadata<:loaded, "search_index">,
    payload: %{"ask" => "lord of the rings"},
    id: 6,
    item_id: 42
  }
]

Encoding to JSON

iex> Bombadil.search(SearchIndex, "rings") |> Jason.encode!()
"[{\"payload\":{\"book\":\"Lord of the Rings\"}}]"

Integration with your application

Manual integration

Define your schema

defmodule YourApp.Ecto.Schema.SearchIndex do
  use Ecto.Schema

  @fields [:field1, :field2, :map]
  @derive {Jason.Encoder, only: @fields}

  schema "your_table" do
    field(:payload, :map)
    field(:field1, :string)
    field(:field2, :string)
  end
end

(optional) Define your schema with a different column name

If you want to use a different name for the payload field, you can define your schema in this way:

defmodule YourApp.Ecto.Schema.SearchIndex do
  use Ecto.Schema

  schema "search_index" do
    field(:data, :map, source: :payload)
    field(:item_id, :integer)
  end
end

Notice how the:

field(:data, :map, source: :payload)

specifies via the field macro another name for the :payload column

Generate an Ecto migration

mix ecto.gen.migration create_search_index # For example

Implement the migration

defmodule YourApp.Repo.Migrations.CreateSearchIndex do
  use Ecto.Migration

  def change do
      create table("search_index") do
        add(:payload, :jsonb)
        add(:field1, :string)
        add(:field2, :string)
      end
  end
end

Through configuration (via macros)

config :bombadil, Bombadil.Repo,
  database: "your_database",
  username: "postgres",
  password: "postgres",
  hostname: "localhost"

config :bombadil,
  table_name: "search_index",
  additional_fields: [
    {:your_special_id, :string},
    [...]
  ]

Generate an Ecto migration

mix ecto.gen.migration create_search_index # For example

Wire the DynamicMigration based on your configuration

defmodule YourApp.Repo.Migrations.CreateSearchIndex do
  use Ecto.Migration
  require Bombadil.Ecto.DynamicMigration

  def change do
    Bombadil.Ecto.DynamicMigration.run()
  end
end

Run the migration

mix ecto.migrate

And implement indexing and search for your use case by using the Bombadil.fuzzy_search/2 and Bombadil.index/2 functions with your Ecto.Repo

TODO

[ ] Support other fields, rather than jsonb (?)

Thank you(s)

Many thanks to Taxfix for giving me the possibility to develop and release this library.🚀

Thanks to the https://github.com/textacular/textacular ruby library for having kicked my butt to create something similar for Elixir ☯

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

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Bombadil

You know, for (PostgreSQL) search

Installation

Preparation

Basic Usage

(Almost) Exact match of an indexed word or sequence of words

Fuzzy match

Match a specific field inside the indexed jsonb field

(Almost) Exact match

Fuzzy match

Matching search results with an additional context

Encoding to JSON

Integration with your application

Manual integration

Define your schema

(optional) Define your schema with a different column name

Generate an Ecto migration

Implement the migration

Through configuration (via macros)

Generate an Ecto migration

Wire the DynamicMigration based on your configuration

Run the migration

TODO

Thank you(s)