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|
# frozen_string_literal: true
# This module adds PG full-text search capabilities to a model.
# A `search_data` association with a `search_vector` column is required.
#
# Declare the fields that will be part of the search vector with their
# corresponding weights. Possible values for weight are A, B, C, or D.
# For example:
#
# include PgFullTextSearchable
# pg_full_text_searchable columns: [{ name: 'title', weight: 'A' }, { name: 'description', weight: 'B' }]
#
# This module sets up an after_commit hook that updates the search data
# when the searchable columns are changed. You will need to implement the
# `#persist_pg_full_text_search_vector` method that does the actual insert or update.
#
# This also adds a `pg_full_text_search` scope so you can do:
#
# Model.pg_full_text_search("some search term")
module PgFullTextSearchable
extend ActiveSupport::Concern
LONG_WORDS_REGEX = %r([A-Za-z0-9+/@]{50,}).freeze
TSVECTOR_MAX_LENGTH = 1.megabyte.freeze
TEXT_SEARCH_DICTIONARY = 'english'
def update_search_data!
tsvector_sql_nodes = self.class.pg_full_text_searchable_columns.map do |column, weight|
tsvector_arel_node(column, weight)&.to_sql
end
persist_pg_full_text_search_vector(Arel.sql(tsvector_sql_nodes.compact.join(' || ')))
rescue ActiveRecord::StatementInvalid => e
raise unless e.cause.is_a?(PG::ProgramLimitExceeded) && e.message.include?('string is too long for tsvector')
Gitlab::AppJsonLogger.error(
message: 'Error updating search data: string is too long for tsvector',
class: self.class.name,
model_id: self.id
)
end
private
def persist_pg_full_text_search_vector(search_vector)
raise NotImplementedError
end
def tsvector_arel_node(column, weight)
return if self[column].blank?
column_text = self[column].gsub(LONG_WORDS_REGEX, ' ')
column_text = column_text[0..(TSVECTOR_MAX_LENGTH - 1)]
column_text = ActiveSupport::Inflector.transliterate(column_text)
Arel::Nodes::NamedFunction.new(
'setweight',
[
Arel::Nodes::NamedFunction.new(
'to_tsvector',
[Arel::Nodes.build_quoted(TEXT_SEARCH_DICTIONARY), Arel::Nodes.build_quoted(column_text)]
),
Arel::Nodes.build_quoted(weight)
]
)
end
included do
cattr_reader :pg_full_text_searchable_columns do
{}
end
end
class_methods do
def pg_full_text_searchable(columns:)
raise 'Full text search columns already defined!' if pg_full_text_searchable_columns.present?
columns.each do |column|
pg_full_text_searchable_columns[column[:name]] = column[:weight]
end
# When multiple updates are done in a transaction, `saved_changes` will only report the latest save
# and we may miss an update to the searchable columns.
# As a workaround, we set a dirty flag here and update the search data in `after_save_commit`.
after_save do
next unless pg_full_text_searchable_columns.keys.any? { |f| saved_changes.has_key?(f) }
@update_pg_full_text_search_data = true
end
# We update this outside the transaction because this could raise an error if the resulting tsvector
# is too long. When that happens, we still persist the create / update but the model will not have a
# search data record. This is fine in most cases because this is a very rare occurrence and only happens
# with strings that are most likely unsearchable anyway.
#
# We also do not want to use a subtransaction here due to: https://gitlab.com/groups/gitlab-org/-/epics/6540
after_save_commit do
update_search_data! if @update_pg_full_text_search_data
@update_pg_full_text_search_data = nil
end
end
def pg_full_text_search(search_term)
search_data_table = reflect_on_association(:search_data).klass.arel_table
joins(:search_data).where(
Arel::Nodes::InfixOperation.new(
'@@',
search_data_table[:search_vector],
Arel::Nodes::NamedFunction.new(
'websearch_to_tsquery',
[Arel::Nodes.build_quoted(TEXT_SEARCH_DICTIONARY), Arel::Nodes.build_quoted(search_term)]
)
)
)
end
end
end
|
