2019-12-22 22:52:31 +05:30
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module Elasticsearch
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module Model
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# Provides support for easily and efficiently importing large amounts of
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# records from the including class into the index.
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#
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# @see ClassMethods#import
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#
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module Importing
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# When included in a model, adds the importing methods.
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#
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# @example Import all records from the `Article` model
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#
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# Article.import
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#
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# @see #import
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#
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def self.included(base)
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base.__send__ :extend, ClassMethods
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adapter = Adapter.from_class(base)
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base.__send__ :include, adapter.importing_mixin
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base.__send__ :extend, adapter.importing_mixin
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end
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module ClassMethods
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# Import all model records into the index
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#
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# The method will pick up correct strategy based on the `Importing` module
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# defined in the corresponding adapter.
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#
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# @param options [Hash] Options passed to the underlying `__find_in_batches`method
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# @param block [Proc] Optional block to evaluate for each batch
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#
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# @yield [Hash] Gives the Hash with the Elasticsearch response to the block
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#
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# @return [Fixnum] Number of errors encountered during importing
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#
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# @example Import all records into the index
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#
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# Article.import
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#
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# @example Set the batch size to 100
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#
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# Article.import batch_size: 100
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#
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# @example Process the response from Elasticsearch
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#
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# Article.import do |response|
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# puts "Got " + response['items'].select { |i| i['index']['error'] }.size.to_s + " errors"
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# end
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#
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# @example Delete and create the index with appropriate settings and mappings
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#
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# Article.import force: true
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#
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# @example Refresh the index after importing all batches
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#
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# Article.import refresh: true
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#
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# @example Import the records into a different index/type than the default one
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#
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# Article.import index: 'my-new-index', type: 'my-other-type'
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#
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# @example Pass an ActiveRecord scope to limit the imported records
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#
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# Article.import scope: 'published'
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#
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# @example Pass an ActiveRecord query to limit the imported records
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#
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# Article.import query: -> { where(author_id: author_id) }
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#
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# @example Transform records during the import with a lambda
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#
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# transform = lambda do |a|
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# {index: {_id: a.id, _parent: a.author_id, data: a.__elasticsearch__.as_indexed_json}}
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# end
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#
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# Article.import transform: transform
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#
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# @example Update the batch before yielding it
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#
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# class Article
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# # ...
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# def self.enrich(batch)
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# batch.each do |item|
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# item.metadata = MyAPI.get_metadata(item.id)
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# end
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# batch
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# end
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# end
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#
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# Article.import preprocess: :enrich
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#
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# @example Return an array of error elements instead of the number of errors, eg.
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# to try importing these records again
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#
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# Article.import return: 'errors'
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#
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def import(options={}, &block)
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errors = []
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refresh = options.delete(:refresh) || false
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target_index = options.delete(:index) || index_name
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target_type = options.delete(:type) || document_type
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transform = options.delete(:transform) || __transform
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return_value = options.delete(:return) || 'count'
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unless transform.respond_to?(:call)
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raise ArgumentError,
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"Pass an object responding to `call` as the :transform option, #{transform.class} given"
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end
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if options.delete(:force)
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self.create_index! force: true, index: target_index
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elsif !self.index_exists? index: target_index
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raise ArgumentError,
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"#{target_index} does not exist to be imported into. Use create_index! or the :force option to create it."
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end
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__find_in_batches(options) do |batch|
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response = client.bulk \
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index: target_index,
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type: target_type,
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body: __batch_to_bulk(batch, transform)
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yield response if block_given?
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errors += response['items'].select { |k, v| k.values.first['error'] }
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end
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2020-03-09 13:42:32 +05:30
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self.refresh_index! index: target_index if refresh
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2019-12-22 22:52:31 +05:30
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case return_value
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when 'errors'
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errors
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else
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errors.size
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end
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end
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def __batch_to_bulk(batch, transform)
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batch.map { |model| transform.call(model) }
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end
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end
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end
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end
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end
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