# ESx
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A client for the Elasticsearch with Ecto, written in Elixir
## Installation
If [available in Hex](https://hex.pm/docs/publish), the package can be installed as:
1. Add `esx` to your list of dependencies in `mix.exs`:
```elixir
def deps do
[{:esx, "~> x.x.x"}]
end
```
2. Ensure `esx` is started before your application:
```elixir
def application do
[applications: [:esx]]
end
```
hexdocs: https://hexdocs.pm/esx
## Configuration
###### This is configuration that if you've have multiple Elasticsearch's Endpoint which's another one.
First, that configuration is defined with `ESx.Model.Base` into your project. It's like Ecto's Repo.
```elixir
defmodule MyApp.ESx do
use ESx.Model.Base, app: :my_app
end
```
And so that there's `MyApp.ESx` configuration for Mix.config below.
```elixir
config :my_app, MyApp.ESx,
scheme: "http",
host: "example.com",
port: 9200
```
#### Definition for all of configuration.
```elixir
config :my_app, MyApp.ESx,
repo: MyApp.Repo, # Optional, which defines Ecto for connecting database.
protocol: "http", # or: scheme: "http"
user: "yourname", password: "yourpass", # or: userinfo: "yourname:yourpass"
host: "127.0.0.1",
port: 9200,
path: "path-to-endpoint"
```
## Definition for Analysis.
#### DSL
```elixir
defmodule MyApp.Blog do
use ESx.Schema
index_name "blog" # Optional
document_type "blog" # Optional
mapping _all: [enabled: false], _ttl: [enabled: true, default: "180d"] do
indexes :title, type: "string"
indexes :content, type: "string"
indexes :publish, type: "boolean"
end
settings number_of_shards: 10, number_of_replicas: 2 do
analysis do
filter :ja_posfilter,
type: "kuromoji_neologd_part_of_speech",
stoptags: ["助詞-格助詞-一般", "助詞-終助詞"]
tokenizer :ja_tokenizer,
type: "kuromoji_neologd_tokenizer"
analyzer :default,
type: "custom", tokenizer: "ja_tokenizer",
filter: ["kuromoji_neologd_baseform", "ja_posfilter", "cjk_width"]
end
end
end
```
#### Setting by keywords lists
```elixir
defmodule Something.Schema do
use ESx.Schema
mapping [
_ttl: [
enabled: true,
default: "180d"
],
_all: [
enabled: false
],
properties: [
title: [
type: "string",
analyzer: "ja_analyzer"
],
publish: [
type: "boolean"
],
content: [
type: "string",
analyzer: "ja_analyzer"
]
]
]
settings [
number_of_shards: 1,
number_of_replicas: 0,
analysis: [
analyzer: [
ja_analyzer: [
type: "custom",
tokenizer: "kuromoji_neologd_tokenizer",
filter: ["kuromoji_neologd_baseform", "cjk_width"],
]
]
]
]
end
```
## Definition for updating record via such as a Model.
```elixir
defmodule MyApp.Blog do
use ESx.Schema
defstruct [:id, :title, :content, :publish]
mapping do
indexes :title, type: "string"
indexes :content, type: "string"
indexes :publish, type: "boolean"
end
end
```
#### With Ecto's Model
```elixir
defmodule MyApp.Blog do
use MyApp.Web, :model
use ESx.Schema
schema "blogs" do
field :title, :string
field :content, :string
field :publish, :boolean
timestamps
end
mapping do
indexes :title, type: "string"
indexes :content, type: "string"
indexes :publish, type: "boolean"
end
```
###### Indexing Data
The data's elements which sends to Elasticsearch is able to customize that will make it, this way is the same as Ecto.
```elixir
defmodule MyApp.Blog do
@derive {Poison.Encoder, only: [:title, :publish]}
schema "blogs" do
field :title, :string
field :content, :string
field :publish, :boolean
timestamps
end
end
```
When Ecto's Schema and ESx's mapping have defferent fields or for customization more, defining function `as_indexed_json` will make it in order to send relational data to Elasticsearch, too. Commonly it called via `MyApp.ESx.index_document`, `MyApp.ESx.update_document`.
```elixir
defmodule MyApp.Blog do
def as_indexed_json(struct, opts) do
all_of_defined_data = super struct, opts
...
...
some_of_custmized_data
end
end
```
By default will send all of defined mapping's fields to Elasticsearch.
###### API Docs
- https://hexdocs.pm/esx/ESx.Schema.html
## Transport
`ESx.Transport` and `MyApp.ESx` will connect to multipe elasticsearch automatically if builded cluster systems on your environment.
```elixir
iex(1)> MyApp.ESx.transport # Load configuration to ESX.Transport this is required.
iex(2)> ESx.Transport.conn # Sniffing cluster system and choose random Elasticsearch connection
01:10:26.694 [debug] curl -X GET 'http://127.0.0.1:9200/_nodes/http' # Run sniffing
%ESx.Transport.Connection{client: HTTPoison, dead: false, # chose one of cluster connection.
dead_since: 1492099826, failures: 0,
pidname: :"RWxpeGlyLkVTeC5UcmFuc3BvcnQuQ29ubmVjdGlvbl9odHRwOi8vMTI3LjAuMC4xOjkyMDI=",
resurrect_timeout: 60, url: "http://127.0.0.1:9202"}
iex(2)> ESx.Transport.Connection.conns # Below is all of cluster connections.
[%ESx.Transport.Connection{client: HTTPoison, dead: false,
dead_since: 1492099826, failures: 0,
pidname: :"RWxpeGlyLkVTeC5UcmFuc3BvcnQuQ29ubmVjdGlvbl9odHRwOi8vMTI3LjAuMC4xOjkyMDE=",
resurrect_timeout: 60, url: "http://127.0.0.1:9201"},
%ESx.Transport.Connection{client: HTTPoison, dead: false,
dead_since: 1492099826, failures: 0,
pidname: :"RWxpeGlyLkVTeC5UcmFuc3BvcnQuQ29ubmVjdGlvbl9odHRwOi8vMTI3LjAuMC4xOjkyMDI=",
resurrect_timeout: 60, url: "http://127.0.0.1:9202"},
%ESx.Transport.Connection{client: HTTPoison, dead: false,
dead_since: 1492099826, failures: 0,
pidname: :"RWxpeGlyLkVTeC5UcmFuc3BvcnQuQ29ubmVjdGlvbl9odHRwOi8vMTI3LjAuMC4xOjkyMDA=",
resurrect_timeout: 60, url: "http://127.0.0.1:9200"}]
```
## Usage
### Indexing
```elixir
MyApp.ESx.reindex, MyApp.Blog
MyApp.ESx.create_index, MyApp.Blog
MyApp.ESx.delete_index, MyApp.Blog
MyApp.ESx.index_exists?, MyApp.Blog
MyApp.ESx.refresh_index, MyApp.Blog
```
### ES Document
```elixir
MyApp.ESx.import, MyApp.Blog
MyApp.ESx.index_document, %MyApp.Blog{id: 1, title: "egg"}
MyApp.ESx.delete_document, %MyApp.Blog{id: 1, title: "ham"}
```
### Search & Response
```elixir
MyApp.ESx.search, MyApp.Blog, %{query: %{match: %{title: "foo"}}}
```
```elixir
response =
MyApp.Blog
|> MyApp.ESx.search(%{query: %{match: %{title: "foo"}}})
|> MyApp.ESx.results
IO.inspect Enum.map(response, fn r ->
r["_source"]["title"]
end)
# ["foo", "egg", "some"]
```
##### With Phoenix's Ecto
```elixir
response =
MyApp.Blog
|> MyApp.ESx.search(%{query: %{match: %{title: "foo"}}})
|> MyApp.ESx.records
IO.inspect Enum.each(response, fn r ->
r.title
end)
# ["foo", "egg", "some"]
```
###### API Docs
- https://hexdocs.pm/esx/MyApp.ESx.html
##### Pagination
[github.com/ikeikeikeike/scrivener_esx](https://github.com/ikeikeikeike/scrivener_esx)
```elixir
page =
MyApp.Blog
|> MyApp.ESx.search(%{query: %{match: %{title: "foo"}}})
|> MyApp.ESx.paginate(page: 2, page_size: 5)
```
## Low-level APIs
#### Configuration
```elixir
config :esx, ESx.Model,
url: "http://example.com:9200"
```
There're Low-level APIs in `ESx.API` and `ESx.API.Indices`.
```elixir
ts = ESx.Transport.transport trace: true # or: ts = MyApp.ESx.transport
ESx.API.search ts, %{index: "your_app", body: %{query: %{}}}
ESx.API.Indices.delete ts, %{index: "your_app"}
```
###### API Docs
- https://hexdocs.pm/esx/ESx.API.html
- https://hexdocs.pm/esx/ESx.API.Indices.html
## Testing
Download elasticsearch and build cluster
```ruby
$ ./test/build.sh
```
run mix test
```ruby
$ mix test
```
Probably won't make it.
- Search DSL