bulleric / tirexs

An Elixir flavored DSL for building JSON based requests to Elasticsearch engine

tirexs

An Elixir flavored DSL for building JSON based settings, mappings, queries, percolators to Elasticsearch engine.

Hint: Check out /examples directory as a quick intro.

Walk-through a code

Let's define the mapping for specific document type:

import Tirexs.Mapping

index = [index: "articles", type: "article"]
mappings do
  indexes "id", type: "long", index: "not_analyzed", include_in_all: false
  indexes "title", type: "string", boost: 2.0, analyzer: "snowball"
  indexes "tags",  type: "string", analyzer: "keyword"
  indexes "content", type: "string", analyzer: "snowball"
  indexes "authors", [type: "object"] do
    indexes "name", type: "string"
    indexes "nick_name", type: "string"
  end
end

{ :ok, status, body } = Tirexs.Mapping.create_resource(index)

---

NOTE If you want to PUT settings with mappings you can (for example) use settings and mappings, for instance in this snippet:

use Tirexs.Mapping

settings do
    analysis do
        filter "edge_ngram", [type: "edgeNGram", min_gram: 1, max_gram: 15]
        analyzer "autocomplete_analyzer",
        [
          filter: ["icu_normalizer", "icu_folding", "edge_ngram"],
          tokenizer: "icu_tokenizer"
        ]
  end
end

When Tirexs.Mapping.create_resource(index) will be used settings and mappings will be created in one request together.

---

Then let's populate an articles index:

import Tirexs.Bulk
require Tirexs.ElasticSearch

# Returns the value from `Application.get_env(:tirexs, :uri)`.
settings = Tirexs.ElasticSearch.config()

Tirexs.Bulk.store [index: "articles", refresh: true], settings do
  create id: 1, title: "One", tags: ["elixir"], type: "article"
  create id: 2, title: "Two", tags: ["elixir", "ruby"], type: "article"
  create id: 3, title: "Three", tags: ["java"], type: "article"
  create id: 4, title: "Four", tags: ["erlang"], type: "article"
end

NOTE

If you want to provide a dynamic list of documents you can prepare a list of document in this way:

docs = [
    create: [id: 1, title: "One", tags: ["elixir"], type: "article"],
    create: [id: 2, title: "Two", tags: ["elixir", "ruby"], type: "article"],
    create: [id: 3, title: "Three", tags: ["java"], type: "article"],
    create: [id: 4, title: "Four", tags: ["erlang"], type: "article"]
    # more...
]

and call:

Tirexs.Bulk.store [index: "articles", refresh: true], settings, do: docs

Now, let's go further. We will be searching for articles whose title begins with letter “T”, sorted by title in descending order, filtering them for ones tagged “elixir”, and also retrieving some facets:

import Tirexs.Search
require Tirexs.Query

articles = search [index: "articles"] do
  query do
    string "title:T*"
  end

  filter do
    terms "tags", ["elixir", "ruby"]
  end

  facets do
    global_tags [global: true] do
      terms field: "tags"
    end

    current_tags do
      terms field: "tags"
    end
  end

  sort do
    [
      [title: "desc"]
    ]
  end
end

result = Tirexs.Query.create_resource(articles)

Enum.each Tirexs.Query.result(result, :hits), fn(item) ->
  IO.puts inspect(item)
  #=> [{"_index","articles"},{"_type","article"},{"_id","2"},{"_score",1.0},{"_source",[{"id",2}, {"title","Two"},{"tags",["elixir","ruby"]},{"type","article"}]}]
end

Let's display the global facets:

Enum.each Tirexs.Query.result(result, :facets).global_tags.terms, fn(f) ->
  IO.puts "#{f.term}    #{f.count}"
end

#=> elixir  2
#=> ruby    1
#=> java    1
#=> erlang  1

Now, let's display the facets based on current query (notice that count for articles tagged with 'java' is included, even though it's not returned by our query; count for articles tagged 'erlang' is excluded, since they don't match the current query):

Enum.each Tirexs.Query.result(result, :facets).current_tags.terms, fn(f) ->
  IO.puts "#{f.term}    #{f.count}"
end

#=> ruby    1
#=> java    1
#=> elixir  1

In the end, a snippet about using a Percolator (check out the examples/percolator.exs)

percolator = percolator [index: "my-index", name: 1] do
  query do
    match "message",  "bonsai tree"
  end
end

{_, _, body} = Tirexs.Percolator.create_resource(percolator, settings)

percolator = percolator [index: "my-index", type: "message"] do
  doc do
    [[message: "A new bonsai tree in the office"]]
  end
end

{_, _, body} = Tirexs.Percolator.match(percolator, settings)

Not sure?

Look around using https://hex.pm/packages?search=elasticsearch... to find out some other packages.

Contributing

If you feel like porting or fixing something, please drop a pull request or issue tracker at GitHub! Check out the CONTRIBUTING.md for more details.

License

Tirexs source code is released under Apache 2 License. Check LICENSE and NOTICE files for more details. The project HEAD is https://github.com/zatvobor/tirexs.