How to search Elasticsearch-rails with association model conditions? - ruby-on-rails-3

Question

I'm trying to search Doc model has_and_belongs_to_many projects which belongs to specific project.
models/doc.rb
require 'elasticsearch/model'
class Doc < ActiveRecord::Base
include Elasticsearch::Model
include Elasticsearch::Model::Callbacks
settings index: {
analysis: {
tokenizer: {
ngram_tokenizer: {
type: "nGram",
min_gram: "2",
max_gram: "3",
token_chars: [
"letter",
"digit",
"punctuation"
]
}
},
analyzer: {
ngram_analyzer: {
tokenizer: "ngram_tokenizer"
}
},
},
} do
mappings do
indexes :sourcedb, type: 'string', analyzer: 'ngram_analyzer'
indexes :sourceid, type: 'string', analyzer: 'ngram_analyzer'
indexes :body, type: 'string', analyzer: 'ngram_analyzer'
indexes :docs_projects do
indexes :doc_id
indexes :project_id
indexes :projects do
indexes :id, index: :not_analyzed
end
end
end
end
def as_indexed_json(options={})
as_json(
only: [:id, :sourcedb, :sourceid, :body],
include: { projects: {only: :id} }
)
end
end
search method is below
search_docs = docs.search(
query: {
bool:{
must: [
{match: {
'projects.id' => project_id
}
}
]
}
},
size: 5000,
).records.order('sourcedb ASC, sourceid ASC').paginate(page:params[:page], per_page: 10)
This search method finishes without errors but nothing returned.
Doc Load (4.6ms) SELECT "docs".* FROM "docs" INNER JOIN "docs_projects" ON "docs"."id" = "docs_projects"."doc_id" WHERE "docs_projects"."project_id" = 56
(0.4ms) SELECT COUNT(*) FROM "docs" WHERE 1=0
Doc Load (0.3ms) SELECT "docs".* FROM "docs" WHERE 1=0 ORDER BY sourcedb ASC, sourceid ASC LIMIT 10 OFFSET 0
CACHE (0.0ms) SELECT COUNT(*) FROM "docs" WHERE 1=0
I've tried to search with where([projects.id IN (?)], project_ids), but it cannot search docs belongs to project with max size.
How to search by match with associations?
Thanks in advance.

Answer 1

Now, I found the solution. This is how I solved.
doc.rb
settings index: {
analysis: {
tokenizer: {
ngram_tokenizer: {
type: "nGram",
min_gram: "2",
max_gram: "3",
token_chars: [
"letter",
"digit",
"punctuation"
]
}
},
analyzer: {
ngram_analyzer: {
tokenizer: "ngram_tokenizer"
}
},
},
} do
mappings do
indexes :sourcedb, type: 'string', analyzer: 'ngram_analyzer'
indexes :sourceid, type: 'string', analyzer: 'ngram_analyzer'
indexes :body, type: 'string', analyzer: 'ngram_analyzer'
# indexes :docs_projects, type: 'nested' do
indexes :docs_projects do
indexes :doc_id
indexes :project_id
end
indexes :projects do
indexes :id, index: :not_analyzed
end
end
end
search method
def self.search_docs(attributes = {})
minimum_should_match = 0
minimum_should_match += 1 if attributes[:sourcedb].present?
minimum_should_match += 1 if attributes[:sourceid].present?
minimum_should_match += 1 if attributes[:body].present?
if attributes[:project_id].present?
must_array = [
{match: {
'projects.id' => attributes[:project_id]
}
}
]
end
docs = search(
query: {
bool:{
must: must_array,
should: [
{match: {
sourcedb: {
query: attributes[:sourcedb],
fuzziness: 0
}
}
},
{match: {
sourceid: {
query: attributes[:sourceid],
fuzziness: 0
}
}
},
{match: {
body: {
query: attributes[:body],
fuzziness: 'AUTO'
}
}
},
],
minimum_should_match: minimum_should_match
}
},
size: SEARCH_SIZE,
)
return {
total: docs.results.total,
docs: docs.records.order('sourcedb ASC, sourceid ASC')
}
end