2019-05-02 18:17:27 -04:00
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# frozen_string_literal: true
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2013-05-22 14:36:14 -04:00
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class Search
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2018-10-22 21:10:33 -04:00
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DIACRITICS ||= /([\u0300-\u036f]|[\u1AB0-\u1AFF]|[\u1DC0-\u1DFF]|[\u20D0-\u20FF])/
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2020-08-06 02:15:31 -04:00
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HIGHLIGHT_CSS_CLASS = 'search-highlight'
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2013-02-05 14:16:51 -05:00
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2019-03-17 13:46:09 -04:00
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cattr_accessor :preloaded_topic_custom_fields
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self.preloaded_topic_custom_fields = Set.new
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2020-12-17 11:29:10 -05:00
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def self.on_preload(&blk)
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(@preload ||= Set.new) << blk
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end
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def self.preload(results, object)
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if @preload
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@preload.each { |preload| preload.call(results, object) }
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end
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end
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2013-02-05 14:16:51 -05:00
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def self.per_facet
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5
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end
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2014-09-02 05:15:08 -04:00
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def self.per_filter
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50
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end
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2013-02-05 14:16:51 -05:00
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def self.facets
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2021-10-06 11:42:52 -04:00
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%w(topic category user private_messages tags all_topics exclude_topics)
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2013-02-05 14:16:51 -05:00
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end
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2017-07-31 15:28:48 -04:00
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def self.ts_config(locale = SiteSetting.default_locale)
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# if adding a text search configuration, you should check PG beforehand:
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# SELECT cfgname FROM pg_ts_config;
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# As an aside, dictionaries can be listed by `\dFd`, the
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# physical locations are in /usr/share/postgresql/<version>/tsearch_data.
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# But it may not appear there based on pg extension configuration.
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2014-06-24 03:10:56 -04:00
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# base docker config
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#
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2019-05-27 09:52:09 -04:00
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case locale.split("_")[0].to_sym
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when :da then 'danish'
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when :nl then 'dutch'
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when :en then 'english'
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when :fi then 'finnish'
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when :fr then 'french'
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when :de then 'german'
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when :hu then 'hungarian'
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when :it then 'italian'
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when :nb then 'norwegian'
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when :pt then 'portuguese'
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when :ro then 'romanian'
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when :ru then 'russian'
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when :es then 'spanish'
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when :sv then 'swedish'
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when :tr then 'turkish'
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2017-07-31 15:28:48 -04:00
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else 'simple' # use the 'simple' stemmer for other languages
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2013-02-28 14:14:22 -05:00
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end
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end
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2022-03-07 16:03:10 -05:00
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def self.wrap_unaccent(str)
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SiteSetting.search_ignore_accents ? "unaccent(#{str})" : str
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end
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2022-01-26 02:24:11 -05:00
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def self.segment_chinese?
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['zh_TW', 'zh_CN'].include?(SiteSetting.default_locale) || SiteSetting.search_tokenize_chinese
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end
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def self.segment_japanese?
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SiteSetting.default_locale == "ja" || SiteSetting.search_tokenize_japanese
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end
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def self.japanese_punctuation_regexp
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# Regexp adapted from https://github.com/6/tiny_segmenter/blob/15a5b825993dfd2c662df3766f232051716bef5b/lib/tiny_segmenter.rb#L7
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@japanese_punctuation_regexp ||= Regexp.compile("[-–—―.。・()()[]{}{}【】⟨⟩、、,,،…‥〽「」『』〜~!!::??\"'|__“”‘’;/⁄/«»]")
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2021-04-11 22:46:42 -04:00
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end
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2021-10-31 22:14:47 -04:00
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def self.prepare_data(search_data, purpose = nil)
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2018-11-06 17:41:55 -05:00
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data = search_data.dup
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2014-06-24 03:10:56 -04:00
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data.force_encoding("UTF-8")
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2021-10-31 22:14:47 -04:00
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2018-11-06 17:41:55 -05:00
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if purpose != :topic
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2022-01-26 02:24:11 -05:00
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if segment_chinese?
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2018-11-06 17:41:55 -05:00
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require 'cppjieba_rb' unless defined? CppjiebaRb
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2020-05-17 20:54:56 -04:00
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2022-01-26 02:24:11 -05:00
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segmented_data = []
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# We need to split up the string here because Cppjieba has a bug where text starting with numeric chars will
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# be split into two segments. For example, '123abc' becomes '123' and 'abc' after segmentation.
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data.scan(/(?<chinese>[\p{Han}。,、“”《》…\.:?!;()]+)|([^\p{Han}]+)/) do
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match_data = $LAST_MATCH_INFO
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if match_data[:chinese]
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segments = CppjiebaRb.segment(match_data.to_s, mode: :mix)
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if ts_config != 'english'
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segments = CppjiebaRb.filter_stop_word(segments)
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end
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segments = segments.filter { |s| s.present? }
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segmented_data << segments.join(' ')
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else
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segmented_data << match_data.to_s.squish
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end
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2020-05-17 20:54:56 -04:00
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end
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2022-01-26 02:24:11 -05:00
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data = segmented_data.join(' ')
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elsif segment_japanese?
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data.gsub!(japanese_punctuation_regexp, " ")
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data = TinyJapaneseSegmenter.segment(data)
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data = data.filter { |s| s.present? }
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2020-05-17 20:54:56 -04:00
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data = data.join(' ')
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2018-11-06 17:41:55 -05:00
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else
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data.squish!
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end
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2018-10-22 21:10:33 -04:00
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end
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2020-07-09 05:02:02 -04:00
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2020-10-07 20:40:13 -04:00
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data.gsub!(/\S+/) do |str|
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2020-10-07 21:14:12 -04:00
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if str =~ /^["]?((https?:\/\/)[\S]+)["]?$/
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2020-10-07 20:40:13 -04:00
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begin
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2020-10-07 21:14:12 -04:00
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uri = URI.parse(Regexp.last_match[1])
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2020-10-07 20:40:13 -04:00
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uri.query = nil
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str = uri.to_s
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rescue URI::Error
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# don't fail if uri does not parse
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end
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end
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2020-10-07 21:14:12 -04:00
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2020-10-07 20:40:13 -04:00
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str
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2020-07-09 05:02:02 -04:00
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end
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2014-06-24 03:10:56 -04:00
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data
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end
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2016-03-14 08:27:02 -04:00
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def self.word_to_date(str)
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if str =~ /^[0-9]{1,3}$/
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return Time.zone.now.beginning_of_day.days_ago(str.to_i)
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end
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if str =~ /^([12][0-9]{3})(-([0-1]?[0-9]))?(-([0-3]?[0-9]))?$/
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year = $1.to_i
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month = $2 ? $3.to_i : 1
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day = $4 ? $5.to_i : 1
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return if day == 0 || month == 0 || day > 31 || month > 12
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2018-05-06 23:38:04 -04:00
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return begin
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Time.zone.parse("#{year}-#{month}-#{day}")
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rescue ArgumentError
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end
|
2016-03-14 08:27:02 -04:00
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end
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if str.downcase == "yesterday"
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return Time.zone.now.beginning_of_day.yesterday
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end
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titlecase = str.downcase.titlecase
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if Date::DAYNAMES.include?(titlecase)
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return Time.zone.now.beginning_of_week(str.downcase.to_sym)
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end
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if idx = (Date::MONTHNAMES.find_index(titlecase) ||
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Date::ABBR_MONTHNAMES.find_index(titlecase))
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delta = Time.zone.now.month - idx
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delta += 12 if delta < 0
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Time.zone.now.beginning_of_month.months_ago(delta)
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end
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end
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2016-08-10 15:40:58 -04:00
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def self.min_post_id_no_cache
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return 0 unless SiteSetting.search_prefer_recent_posts?
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2016-08-12 00:36:38 -04:00
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offset, has_more = Post.unscoped
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.order('id desc')
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.offset(SiteSetting.search_recent_posts_size - 1)
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.limit(2)
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.pluck(:id)
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has_more ? offset : 0
|
2016-08-10 15:40:58 -04:00
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end
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def self.min_post_id(opts = nil)
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return 0 unless SiteSetting.search_prefer_recent_posts?
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# It can be quite slow to count all the posts so let's cache it
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2019-11-26 20:35:14 -05:00
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Discourse.cache.fetch("search-min-post-id:#{SiteSetting.search_recent_posts_size}", expires_in: 1.week) do
|
2016-08-10 15:40:58 -04:00
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min_post_id_no_cache
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end
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end
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|
2016-08-09 14:48:39 -04:00
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attr_accessor :term
|
2020-12-17 11:29:10 -05:00
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attr_reader :clean_term, :guardian
|
2016-08-09 14:48:39 -04:00
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2013-05-22 14:36:14 -04:00
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def initialize(term, opts = nil)
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@opts = opts || {}
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@guardian = @opts[:guardian] || Guardian.new
|
2013-05-24 14:03:45 -04:00
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@search_context = @opts[:search_context]
|
2015-07-27 02:13:11 -04:00
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@blurb_length = @opts[:blurb_length]
|
2016-08-09 14:48:39 -04:00
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@valid = true
|
2017-07-20 12:12:34 -04:00
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@page = @opts[:page]
|
2020-11-19 11:56:19 -05:00
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@search_all_pms = false
|
2014-12-04 18:22:39 -05:00
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2018-08-23 20:00:51 -04:00
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term = term.to_s.dup
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2017-06-07 02:23:48 -04:00
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# Removes any zero-width characters from search terms
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2018-08-23 20:00:51 -04:00
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term.gsub!(/[\u200B-\u200D\uFEFF]/, '')
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2017-12-12 00:47:28 -05:00
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# Replace curly quotes to regular quotes
|
2018-08-23 20:00:51 -04:00
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term.gsub!(/[\u201c\u201d]/, '"')
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@clean_term = term
|
2019-02-05 04:54:52 -05:00
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@in_title = false
|
2017-06-21 15:51:15 -04:00
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|
2015-06-26 03:36:28 -04:00
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term = process_advanced_search!(term)
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2015-09-15 03:21:46 -04:00
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2015-06-26 03:36:28 -04:00
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if term.present?
|
2018-11-06 17:41:55 -05:00
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@term = Search.prepare_data(term, Topic === @search_context ? :topic : nil)
|
2020-10-19 02:18:04 -04:00
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@original_term = Search.escape_string(@term)
|
2015-06-26 03:36:28 -04:00
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end
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|
2020-11-19 11:56:19 -05:00
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if @search_pms || @search_all_pms || @opts[:type_filter] == 'private_messages'
|
2014-12-04 18:22:39 -05:00
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@opts[:type_filter] = "private_messages"
|
2020-09-09 23:37:18 -04:00
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|
|
@search_context ||= @guardian.user
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unless @search_context.present? && @guardian.can_see_private_messages?(@search_context.id)
|
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|
|
raise Discourse::InvalidAccess.new
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|
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end
|
2014-12-04 18:22:39 -05:00
|
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end
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|
2020-03-05 12:50:29 -05:00
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if @search_all_topics && @guardian.user
|
2020-01-28 05:11:33 -05:00
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@opts[:type_filter] = "all_topics"
|
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|
|
end
|
|
|
|
|
|
2017-07-17 11:57:13 -04:00
|
|
|
|
@results = GroupedSearchResults.new(
|
2020-07-13 23:05:57 -04:00
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|
|
type_filter: @opts[:type_filter],
|
|
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|
|
term: clean_term,
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|
|
blurb_term: term,
|
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|
search_context: @search_context,
|
2022-05-24 11:31:24 -04:00
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blurb_length: @blurb_length,
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|
is_header_search: !use_full_page_limit
|
2017-07-17 11:57:13 -04:00
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)
|
2014-09-02 05:15:08 -04:00
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end
|
|
|
|
|
|
2017-07-20 12:12:34 -04:00
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|
|
|
def limit
|
2022-05-24 11:31:24 -04:00
|
|
|
|
if use_full_page_limit
|
2017-07-20 12:12:34 -04:00
|
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|
|
Search.per_filter + 1
|
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|
else
|
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|
|
Search.per_facet + 1
|
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|
end
|
|
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|
|
end
|
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|
|
def offset
|
|
|
|
|
if @page && @opts[:type_filter].present?
|
|
|
|
|
(@page - 1) * Search.per_filter
|
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|
|
|
else
|
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|
|
0
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|
end
|
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|
|
end
|
|
|
|
|
|
2016-08-09 14:48:39 -04:00
|
|
|
|
def valid?
|
|
|
|
|
@valid
|
|
|
|
|
end
|
|
|
|
|
|
2022-05-24 11:31:24 -04:00
|
|
|
|
def use_full_page_limit
|
|
|
|
|
@opts[:search_type] == :full_page || Topic === @search_context
|
|
|
|
|
end
|
|
|
|
|
|
2014-09-02 05:15:08 -04:00
|
|
|
|
def self.execute(term, opts = nil)
|
|
|
|
|
self.new(term, opts).execute
|
2013-05-13 17:04:41 -04:00
|
|
|
|
end
|
|
|
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|
|
|
|
|
|
# Query a term
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2020-08-04 02:01:43 -04:00
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def execute(readonly_mode: Discourse.readonly_mode?)
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2021-11-17 20:21:12 -05:00
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if log_query?(readonly_mode)
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2017-07-17 11:57:13 -04:00
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status, search_log_id = SearchLog.log(
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2021-11-25 15:44:15 -05:00
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term: @clean_term,
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2017-07-13 13:34:31 -04:00
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search_type: @opts[:search_type],
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ip_address: @opts[:ip_address],
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user_id: @opts[:user_id]
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)
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2017-07-17 11:57:13 -04:00
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@results.search_log_id = search_log_id unless status == :error
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2017-07-13 13:34:31 -04:00
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end
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2016-08-09 14:48:39 -04:00
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2017-07-25 20:51:44 -04:00
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unless @filters.present? || @opts[:search_for_id]
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2022-01-26 02:24:11 -05:00
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min_length = min_search_term_length
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2016-08-09 14:48:39 -04:00
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terms = (@term || '').split(/\s(?=(?:[^"]|"[^"]*")*$)/).reject { |t| t.length < min_length }
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if terms.blank?
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@term = ''
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@valid = false
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return
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end
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2015-06-22 22:14:06 -04:00
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end
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2013-05-13 17:04:41 -04:00
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# If the term is a number or url to a topic, just include that topic
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2020-01-28 05:11:33 -05:00
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if @opts[:search_for_id] && ['topic', 'private_messages', 'all_topics'].include?(@results.type_filter)
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2014-09-02 05:15:08 -04:00
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if @term =~ /^\d+$/
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single_topic(@term.to_i)
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else
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2020-11-20 04:28:14 -05:00
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if route = Discourse.route_for(@term)
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if route[:controller] == "topics" && route[:action] == "show"
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topic_id = (route[:id] || route[:topic_id]).to_i
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single_topic(topic_id) if topic_id > 0
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2020-06-29 06:31:20 -04:00
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end
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2014-09-02 05:15:08 -04:00
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end
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2013-05-13 17:04:41 -04:00
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end
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end
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2013-03-01 12:45:25 -05:00
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2019-03-18 03:25:45 -04:00
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find_grouped_results if @results.posts.blank?
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2014-09-02 05:15:08 -04:00
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2019-03-17 13:46:09 -04:00
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if preloaded_topic_custom_fields.present? && @results.posts.present?
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topics = @results.posts.map(&:topic)
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Topic.preload_custom_fields(topics, preloaded_topic_custom_fields)
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end
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2020-12-17 11:29:10 -05:00
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Search.preload(@results, self)
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|
2014-09-02 05:15:08 -04:00
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@results
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2013-05-13 17:04:41 -04:00
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end
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2013-02-05 14:16:51 -05:00
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2020-08-06 22:47:00 -04:00
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def self.advanced_order(trigger, &block)
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(@advanced_orders ||= {})[trigger] = block
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end
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def self.advanced_orders
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@advanced_orders
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end
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2015-06-22 22:14:06 -04:00
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def self.advanced_filter(trigger, &block)
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(@advanced_filters ||= {})[trigger] = block
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end
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def self.advanced_filters
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@advanced_filters
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end
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|
2020-09-13 21:58:28 -04:00
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def self.custom_topic_eager_load(tables = nil, &block)
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(@custom_topic_eager_loads ||= []) << (tables || block)
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end
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def self.custom_topic_eager_loads
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Array.wrap(@custom_topic_eager_loads)
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end
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2020-09-23 04:59:42 -04:00
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advanced_filter(/^in:personal-direct$/i) do |posts|
|
2019-07-22 10:55:49 -04:00
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if @guardian.user
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posts
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.joins("LEFT JOIN topic_allowed_groups tg ON posts.topic_id = tg.topic_id")
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.where(<<~SQL, user_id: @guardian.user.id)
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tg.id IS NULL
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AND posts.topic_id IN (
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SELECT tau.topic_id
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FROM topic_allowed_users tau
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JOIN topic_allowed_users tau2
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ON tau2.topic_id = tau.topic_id
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AND tau2.id != tau.id
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WHERE tau.user_id = :user_id
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GROUP BY tau.topic_id
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HAVING COUNT(*) = 1
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)
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SQL
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end
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end
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|
2020-11-19 11:56:19 -05:00
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advanced_filter(/^in:all-pms$/i) do |posts|
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posts.private_posts if @guardian.is_admin?
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end
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2020-09-23 04:59:42 -04:00
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advanced_filter(/^in:tagged$/i) do |posts|
|
2019-06-28 04:19:57 -04:00
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posts
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.where('EXISTS (SELECT 1 FROM topic_tags WHERE topic_tags.topic_id = posts.topic_id)')
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end
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2020-09-23 04:59:42 -04:00
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advanced_filter(/^in:untagged$/i) do |posts|
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2019-06-28 04:19:57 -04:00
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posts
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.joins("LEFT JOIN topic_tags ON
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topic_tags.topic_id = posts.topic_id")
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.where("topic_tags.id IS NULL")
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end
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|
2020-09-23 04:59:42 -04:00
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advanced_filter(/^status:open$/i) do |posts|
|
2015-06-22 22:14:06 -04:00
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posts.where('NOT topics.closed AND NOT topics.archived')
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end
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|
2020-09-23 04:59:42 -04:00
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advanced_filter(/^status:closed$/i) do |posts|
|
2015-06-22 22:14:06 -04:00
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posts.where('topics.closed')
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end
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|
2020-09-23 04:59:42 -04:00
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advanced_filter(/^status:public$/i) do |posts|
|
2019-12-16 11:41:34 -05:00
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category_ids = Category
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.where(read_restricted: false)
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.pluck(:id)
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posts.where("topics.category_id in (?)", category_ids)
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end
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|
2020-09-23 04:59:42 -04:00
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advanced_filter(/^status:archived$/i) do |posts|
|
2015-06-22 22:14:06 -04:00
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posts.where('topics.archived')
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end
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|
2020-09-23 04:59:42 -04:00
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advanced_filter(/^status:noreplies$/i) do |posts|
|
2015-06-22 22:14:06 -04:00
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posts.where("topics.posts_count = 1")
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end
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|
2020-09-23 04:59:42 -04:00
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advanced_filter(/^status:single_user$/i) do |posts|
|
2015-06-22 22:14:06 -04:00
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posts.where("topics.participant_count = 1")
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end
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|
2020-09-23 04:59:42 -04:00
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advanced_filter(/^posts_count:(\d+)$/i) do |posts, match|
|
2015-06-22 22:14:06 -04:00
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posts.where("topics.posts_count = ?", match.to_i)
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end
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|
2020-09-28 12:04:16 -04:00
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advanced_filter(/^min_post_count:(\d+)$/i) do |posts, match|
|
2020-09-28 05:37:51 -04:00
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posts.where("topics.posts_count >= ?", match.to_i)
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end
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|
2020-09-28 12:04:16 -04:00
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advanced_filter(/^min_posts:(\d+)$/i) do |posts, match|
|
2016-11-28 09:57:18 -05:00
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posts.where("topics.posts_count >= ?", match.to_i)
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end
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|
2020-09-28 12:04:16 -04:00
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advanced_filter(/^max_posts:(\d+)$/i) do |posts, match|
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posts.where("topics.posts_count <= ?", match.to_i)
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end
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|
2020-09-23 04:59:42 -04:00
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advanced_filter(/^in:first|^f$/i) do |posts|
|
2015-06-22 23:39:40 -04:00
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posts.where("posts.post_number = 1")
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end
|
2015-06-22 22:14:06 -04:00
|
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|
2020-09-23 04:59:42 -04:00
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advanced_filter(/^in:pinned$/i) do |posts|
|
2016-03-18 01:26:54 -04:00
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posts.where("topics.pinned_at IS NOT NULL")
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end
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|
2020-09-23 04:59:42 -04:00
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advanced_filter(/^in:wiki$/i) do |posts, match|
|
2016-05-13 04:26:53 -04:00
|
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|
posts.where(wiki: true)
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end
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|
2020-09-23 04:59:42 -04:00
|
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|
advanced_filter(/^badge:(.*)$/i) do |posts, match|
|
2019-10-21 06:32:27 -04:00
|
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badge_id = Badge.where('name ilike ? OR id = ?', match, match.to_i).pluck_first(:id)
|
2015-09-15 03:21:46 -04:00
|
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|
if badge_id
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posts.where('posts.user_id IN (SELECT ub.user_id FROM user_badges ub WHERE ub.badge_id = ?)', badge_id)
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else
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posts.where("1 = 0")
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end
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end
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|
2020-04-15 21:32:21 -04:00
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|
def post_action_type_filter(posts, post_action_type)
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posts.where("posts.id IN (
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SELECT pa.post_id FROM post_actions pa
|
2022-11-01 15:05:13 -04:00
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WHERE pa.user_id = ? AND
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|
pa.post_action_type_id = ? AND
|
2020-04-15 21:32:21 -04:00
|
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|
deleted_at IS NULL
|
2022-11-01 15:05:13 -04:00
|
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)", @guardian.user.id, post_action_type)
|
2020-04-15 21:32:21 -04:00
|
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end
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|
2020-09-23 04:59:42 -04:00
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advanced_filter(/^in:(likes)$/i) do |posts, match|
|
2020-04-15 21:32:21 -04:00
|
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|
if @guardian.user
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post_action_type_filter(posts, PostActionType.types[:like])
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end
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end
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|
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|
2022-05-09 19:08:01 -04:00
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|
# NOTE: With polymorphic bookmarks it may make sense to possibly expand
|
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|
# this at some point, as it only acts on posts at the moment. On the other
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|
# hand, this may not be necessary, as the user bookmark list has advanced
|
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|
# search based on a RegisteredBookmarkable's #search_query method.
|
2020-09-23 04:59:42 -04:00
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advanced_filter(/^in:(bookmarks)$/i) do |posts, match|
|
2015-06-22 22:14:06 -04:00
|
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|
|
if @guardian.user
|
2022-11-01 15:05:13 -04:00
|
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|
posts.where(<<~SQL, @guardian.user.id)
|
2022-05-22 20:07:15 -04:00
|
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|
|
posts.id IN (
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|
SELECT bookmarkable_id FROM bookmarks
|
2022-11-01 15:05:13 -04:00
|
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WHERE bookmarks.user_id = ? AND bookmarks.bookmarkable_type = 'Post'
|
2022-05-22 20:07:15 -04:00
|
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|
|
)
|
|
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|
|
SQL
|
2015-06-22 22:14:06 -04:00
|
|
|
|
end
|
|
|
|
|
end
|
|
|
|
|
|
2020-09-23 04:59:42 -04:00
|
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|
|
advanced_filter(/^in:posted$/i) do |posts|
|
2022-11-01 15:05:13 -04:00
|
|
|
|
posts.where("posts.user_id = ?", @guardian.user.id) if @guardian.user
|
2015-06-22 22:14:06 -04:00
|
|
|
|
end
|
|
|
|
|
|
2021-07-21 14:00:27 -04:00
|
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|
|
advanced_filter(/^in:(created|mine)$/i) do |posts|
|
2019-12-16 11:41:34 -05:00
|
|
|
|
posts.where(user_id: @guardian.user.id, post_number: 1) if @guardian.user
|
|
|
|
|
end
|
|
|
|
|
|
2020-09-23 04:59:42 -04:00
|
|
|
|
advanced_filter(/^created:@(.*)$/i) do |posts, match|
|
2020-01-22 15:16:17 -05:00
|
|
|
|
user_id = User.where(username: match.downcase).pluck_first(:id)
|
|
|
|
|
posts.where(user_id: user_id, post_number: 1)
|
|
|
|
|
end
|
|
|
|
|
|
2020-09-23 04:59:42 -04:00
|
|
|
|
advanced_filter(/^in:(watching|tracking)$/i) do |posts, match|
|
2015-06-22 22:14:06 -04:00
|
|
|
|
if @guardian.user
|
2020-09-23 04:59:42 -04:00
|
|
|
|
level = TopicUser.notification_levels[match.downcase.to_sym]
|
2015-06-22 22:14:06 -04:00
|
|
|
|
posts.where("posts.topic_id IN (
|
|
|
|
|
SELECT tu.topic_id FROM topic_users tu
|
2017-03-08 07:37:29 -05:00
|
|
|
|
WHERE tu.user_id = :user_id AND
|
|
|
|
|
tu.notification_level >= :level
|
|
|
|
|
)", user_id: @guardian.user.id, level: level)
|
2015-06-22 22:14:06 -04:00
|
|
|
|
|
|
|
|
|
end
|
|
|
|
|
end
|
|
|
|
|
|
2020-09-23 04:59:42 -04:00
|
|
|
|
advanced_filter(/^in:seen$/i) do |posts|
|
2017-03-08 09:46:23 -05:00
|
|
|
|
if @guardian.user
|
|
|
|
|
posts
|
|
|
|
|
.joins("INNER JOIN post_timings ON
|
|
|
|
|
post_timings.topic_id = posts.topic_id
|
|
|
|
|
AND post_timings.post_number = posts.post_number
|
2017-08-31 00:06:56 -04:00
|
|
|
|
AND post_timings.user_id = #{ActiveRecord::Base.connection.quote(@guardian.user.id)}
|
2017-03-08 09:46:23 -05:00
|
|
|
|
")
|
|
|
|
|
end
|
|
|
|
|
end
|
|
|
|
|
|
2020-09-23 04:59:42 -04:00
|
|
|
|
advanced_filter(/^in:unseen$/i) do |posts|
|
2017-03-08 09:46:23 -05:00
|
|
|
|
if @guardian.user
|
|
|
|
|
posts
|
|
|
|
|
.joins("LEFT JOIN post_timings ON
|
|
|
|
|
post_timings.topic_id = posts.topic_id
|
|
|
|
|
AND post_timings.post_number = posts.post_number
|
2017-08-31 00:06:56 -04:00
|
|
|
|
AND post_timings.user_id = #{ActiveRecord::Base.connection.quote(@guardian.user.id)}
|
2017-03-08 09:46:23 -05:00
|
|
|
|
")
|
|
|
|
|
.where("post_timings.user_id IS NULL")
|
|
|
|
|
end
|
|
|
|
|
end
|
|
|
|
|
|
2020-09-23 04:59:42 -04:00
|
|
|
|
advanced_filter(/^with:images$/i) do |posts|
|
FEATURE: Include optimized thumbnails for topics (#9215)
This introduces new APIs for obtaining optimized thumbnails for topics. There are a few building blocks required for this:
- Introduces new `image_upload_id` columns on the `posts` and `topics` table. This replaces the old `image_url` column, which means that thumbnails are now restricted to uploads. Hotlinked thumbnails are no longer possible. In normal use (with pull_hotlinked_images enabled), this has no noticeable impact
- A migration attempts to match existing urls to upload records. If a match cannot be found then the posts will be queued for rebake
- Optimized thumbnails are generated during post_process_cooked. If thumbnails are missing when serializing a topic list, then a sidekiq job is queued
- Topic lists and topics now include a `thumbnails` key, which includes all the available images:
```
"thumbnails": [
{
"max_width": null,
"max_height": null,
"url": "//example.com/original-image.png",
"width": 1380,
"height": 1840
},
{
"max_width": 1024,
"max_height": 1024,
"url": "//example.com/optimized-image.png",
"width": 768,
"height": 1024
}
]
```
- Themes can request additional thumbnail sizes by using a modifier in their `about.json` file:
```
"modifiers": {
"topic_thumbnail_sizes": [
[200, 200],
[800, 800]
],
...
```
Remember that these are generated asynchronously, so your theme should include logic to fallback to other available thumbnails if your requested size has not yet been generated
- Two new raw plugin outlets are introduced, to improve the customisability of the topic list. `topic-list-before-columns` and `topic-list-before-link`
2020-05-05 04:07:50 -04:00
|
|
|
|
posts.where("posts.image_upload_id IS NOT NULL")
|
2017-06-07 14:13:36 -04:00
|
|
|
|
end
|
|
|
|
|
|
2020-09-23 04:59:42 -04:00
|
|
|
|
advanced_filter(/^category:(.+)$/i) do |posts, match|
|
2017-02-07 15:53:37 -05:00
|
|
|
|
exact = false
|
|
|
|
|
|
|
|
|
|
if match[0] == "="
|
|
|
|
|
exact = true
|
|
|
|
|
match = match[1..-1]
|
|
|
|
|
end
|
|
|
|
|
|
|
|
|
|
category_ids = Category.where('slug ilike ? OR name ilike ? OR id = ?',
|
|
|
|
|
match, match, match.to_i).pluck(:id)
|
2016-06-08 13:50:33 -04:00
|
|
|
|
if category_ids.present?
|
2021-08-02 07:04:13 -04:00
|
|
|
|
category_ids += Category.subcategory_ids(category_ids.first) unless exact
|
2019-03-18 23:23:14 -04:00
|
|
|
|
@category_filter_matched ||= true
|
2016-06-08 13:50:33 -04:00
|
|
|
|
posts.where("topics.category_id IN (?)", category_ids)
|
2015-08-13 21:53:16 -04:00
|
|
|
|
else
|
|
|
|
|
posts.where("1 = 0")
|
|
|
|
|
end
|
2015-06-22 22:14:06 -04:00
|
|
|
|
end
|
|
|
|
|
|
2020-09-23 04:59:42 -04:00
|
|
|
|
advanced_filter(/^\#([\p{L}\p{M}0-9\-:=]+)$/i) do |posts, match|
|
2019-03-13 03:23:01 -04:00
|
|
|
|
category_slug, subcategory_slug = match.to_s.split(":")
|
|
|
|
|
next unless category_slug
|
2018-05-28 01:28:02 -04:00
|
|
|
|
|
2021-08-02 07:04:13 -04:00
|
|
|
|
exact = true
|
|
|
|
|
if category_slug[0] == "="
|
|
|
|
|
category_slug = category_slug[1..-1]
|
2016-05-11 05:53:54 -04:00
|
|
|
|
else
|
2021-08-02 07:04:13 -04:00
|
|
|
|
exact = false
|
|
|
|
|
end
|
2017-02-07 15:53:37 -05:00
|
|
|
|
|
2021-08-02 07:04:13 -04:00
|
|
|
|
category_id = if subcategory_slug
|
|
|
|
|
Category
|
|
|
|
|
.where('lower(slug) = ?', subcategory_slug.downcase)
|
|
|
|
|
.where(parent_category_id: Category.where('lower(slug) = ?', category_slug.downcase).select(:id))
|
|
|
|
|
.pluck_first(:id)
|
|
|
|
|
else
|
|
|
|
|
Category
|
|
|
|
|
.where('lower(slug) = ?', category_slug.downcase)
|
2017-02-07 15:53:37 -05:00
|
|
|
|
.order('case when parent_category_id is null then 0 else 1 end')
|
2021-08-02 07:04:13 -04:00
|
|
|
|
.pluck_first(:id)
|
2016-05-11 05:53:54 -04:00
|
|
|
|
end
|
|
|
|
|
|
|
|
|
|
if category_id
|
2017-02-07 15:53:37 -05:00
|
|
|
|
category_ids = [category_id]
|
2021-08-02 07:04:13 -04:00
|
|
|
|
category_ids += Category.subcategory_ids(category_id) if !exact
|
2019-03-18 23:23:14 -04:00
|
|
|
|
|
|
|
|
|
@category_filter_matched ||= true
|
2017-02-07 15:53:37 -05:00
|
|
|
|
posts.where("topics.category_id IN (?)", category_ids)
|
2016-05-11 05:53:54 -04:00
|
|
|
|
else
|
2017-08-01 18:15:04 -04:00
|
|
|
|
# try a possible tag match
|
2019-10-21 06:32:27 -04:00
|
|
|
|
tag_id = Tag.where_name(category_slug).pluck_first(:id)
|
2017-08-01 18:15:04 -04:00
|
|
|
|
if (tag_id)
|
2019-06-27 03:53:26 -04:00
|
|
|
|
posts.where(<<~SQL, tag_id)
|
|
|
|
|
topics.id IN (
|
|
|
|
|
SELECT DISTINCT(tt.topic_id)
|
|
|
|
|
FROM topic_tags tt
|
|
|
|
|
WHERE tt.tag_id = ?
|
|
|
|
|
)
|
|
|
|
|
SQL
|
2017-08-01 18:15:04 -04:00
|
|
|
|
else
|
2019-06-27 03:53:26 -04:00
|
|
|
|
if tag_group_id = TagGroup.find_id_by_slug(category_slug)
|
|
|
|
|
posts.where(<<~SQL, tag_group_id)
|
|
|
|
|
topics.id IN (
|
|
|
|
|
SELECT DISTINCT(tt.topic_id)
|
|
|
|
|
FROM topic_tags tt
|
|
|
|
|
WHERE tt.tag_id in (
|
|
|
|
|
SELECT tag_id
|
|
|
|
|
FROM tag_group_memberships
|
|
|
|
|
WHERE tag_group_id = ?
|
|
|
|
|
)
|
|
|
|
|
)
|
|
|
|
|
SQL
|
|
|
|
|
|
2017-08-01 18:15:04 -04:00
|
|
|
|
# a bit yucky but we got to add the term back in
|
2022-01-26 02:24:11 -05:00
|
|
|
|
elsif match.to_s.length >= min_search_term_length
|
2019-06-27 03:53:26 -04:00
|
|
|
|
posts.where <<~SQL
|
|
|
|
|
posts.id IN (
|
|
|
|
|
SELECT post_id FROM post_search_data pd1
|
|
|
|
|
WHERE pd1.search_data @@ #{Search.ts_query(term: "##{match}")})
|
|
|
|
|
SQL
|
2017-08-01 18:15:04 -04:00
|
|
|
|
end
|
|
|
|
|
end
|
2016-05-11 05:53:54 -04:00
|
|
|
|
end
|
|
|
|
|
end
|
|
|
|
|
|
2020-09-23 04:59:42 -04:00
|
|
|
|
advanced_filter(/^group:(.+)$/i) do |posts, match|
|
2022-01-09 22:28:20 -05:00
|
|
|
|
group_id = Group
|
|
|
|
|
.visible_groups(@guardian.user)
|
|
|
|
|
.members_visible_groups(@guardian.user)
|
|
|
|
|
.where('name ilike ? OR (id = ? AND id > 0)', match, match.to_i).pluck_first(:id)
|
|
|
|
|
|
2015-09-15 03:39:14 -04:00
|
|
|
|
if group_id
|
|
|
|
|
posts.where("posts.user_id IN (select gu.user_id from group_users gu where gu.group_id = ?)", group_id)
|
|
|
|
|
else
|
|
|
|
|
posts.where("1 = 0")
|
|
|
|
|
end
|
|
|
|
|
end
|
|
|
|
|
|
2022-04-28 10:47:40 -04:00
|
|
|
|
advanced_filter(/^group_messages:(.+)$/i) do |posts, match|
|
|
|
|
|
group_id = Group
|
|
|
|
|
.visible_groups(@guardian.user)
|
|
|
|
|
.members_visible_groups(@guardian.user)
|
|
|
|
|
.where(has_messages: true)
|
|
|
|
|
.where('name ilike ? OR (id = ? AND id > 0)', match, match.to_i).pluck_first(:id)
|
|
|
|
|
|
|
|
|
|
if group_id
|
|
|
|
|
posts.where('posts.topic_id IN (SELECT topic_id FROM topic_allowed_groups WHERE group_id = ?)', group_id)
|
|
|
|
|
else
|
|
|
|
|
posts.where("1 = 0")
|
|
|
|
|
end
|
|
|
|
|
end
|
|
|
|
|
|
2020-09-23 04:59:42 -04:00
|
|
|
|
advanced_filter(/^user:(.+)$/i) do |posts, match|
|
2019-10-21 06:32:27 -04:00
|
|
|
|
user_id = User.where(staged: false).where('username_lower = ? OR id = ?', match.downcase, match.to_i).pluck_first(:id)
|
2015-08-13 21:53:16 -04:00
|
|
|
|
if user_id
|
2022-11-01 15:05:13 -04:00
|
|
|
|
posts.where("posts.user_id = ?", user_id)
|
2015-08-13 21:53:16 -04:00
|
|
|
|
else
|
|
|
|
|
posts.where("1 = 0")
|
|
|
|
|
end
|
2015-06-22 22:14:06 -04:00
|
|
|
|
end
|
|
|
|
|
|
2022-11-16 04:42:37 -05:00
|
|
|
|
advanced_filter(/^\@(\S+)$/i) do |posts, match|
|
|
|
|
|
username = User.normalize_username(match)
|
2020-12-21 18:46:42 -05:00
|
|
|
|
|
2022-11-16 04:42:37 -05:00
|
|
|
|
user_id = User.not_staged.where(username_lower: username).pluck_first(:id)
|
2020-12-21 18:46:42 -05:00
|
|
|
|
|
|
|
|
|
if !user_id && username == "me"
|
|
|
|
|
user_id = @guardian.user&.id
|
|
|
|
|
end
|
|
|
|
|
|
2016-05-12 04:43:44 -04:00
|
|
|
|
if user_id
|
2022-11-01 15:05:13 -04:00
|
|
|
|
posts.where("posts.user_id = ?", user_id)
|
2016-05-12 04:43:44 -04:00
|
|
|
|
else
|
|
|
|
|
posts.where("1 = 0")
|
|
|
|
|
end
|
|
|
|
|
end
|
|
|
|
|
|
2020-09-23 04:59:42 -04:00
|
|
|
|
advanced_filter(/^before:(.*)$/i) do |posts, match|
|
2016-03-14 08:27:02 -04:00
|
|
|
|
if date = Search.word_to_date(match)
|
|
|
|
|
posts.where("posts.created_at < ?", date)
|
|
|
|
|
else
|
|
|
|
|
posts
|
|
|
|
|
end
|
2015-06-22 23:21:50 -04:00
|
|
|
|
end
|
|
|
|
|
|
2020-09-23 04:59:42 -04:00
|
|
|
|
advanced_filter(/^after:(.*)$/i) do |posts, match|
|
2016-03-14 08:27:02 -04:00
|
|
|
|
if date = Search.word_to_date(match)
|
|
|
|
|
posts.where("posts.created_at > ?", date)
|
|
|
|
|
else
|
|
|
|
|
posts
|
|
|
|
|
end
|
2015-06-22 23:21:50 -04:00
|
|
|
|
end
|
|
|
|
|
|
2020-09-23 04:59:42 -04:00
|
|
|
|
advanced_filter(/^tags?:([\p{L}\p{M}0-9,\-_+]+)$/i) do |posts, match|
|
2018-01-03 16:45:21 -05:00
|
|
|
|
search_tags(posts, match, positive: true)
|
|
|
|
|
end
|
2017-05-31 10:36:15 -04:00
|
|
|
|
|
2020-09-23 04:59:42 -04:00
|
|
|
|
advanced_filter(/^\-tags?:([\p{L}\p{M}0-9,\-_+]+)$/i) do |posts, match|
|
2018-01-03 16:45:21 -05:00
|
|
|
|
search_tags(posts, match, positive: false)
|
2016-04-25 15:55:15 -04:00
|
|
|
|
end
|
|
|
|
|
|
2020-09-23 04:59:42 -04:00
|
|
|
|
advanced_filter(/^filetypes?:([a-zA-Z0-9,\-_]+)$/i) do |posts, match|
|
2017-07-06 13:11:32 -04:00
|
|
|
|
file_extensions = match.split(",").map(&:downcase)
|
2017-06-20 15:20:06 -04:00
|
|
|
|
posts.where("posts.id IN (
|
2018-08-03 19:56:26 -04:00
|
|
|
|
SELECT post_id
|
|
|
|
|
FROM topic_links
|
|
|
|
|
WHERE extension IN (:file_extensions)
|
|
|
|
|
|
2017-07-04 11:50:08 -04:00
|
|
|
|
UNION
|
2018-08-03 19:56:26 -04:00
|
|
|
|
|
2022-06-08 19:24:30 -04:00
|
|
|
|
SELECT upload_references.target_id
|
2018-08-03 19:56:26 -04:00
|
|
|
|
FROM uploads
|
2022-06-08 19:24:30 -04:00
|
|
|
|
JOIN upload_references ON upload_references.target_type = 'Post' AND upload_references.upload_id = uploads.id
|
2018-08-03 19:56:26 -04:00
|
|
|
|
WHERE lower(uploads.extension) IN (:file_extensions)
|
|
|
|
|
)", file_extensions: file_extensions)
|
2017-06-20 15:20:06 -04:00
|
|
|
|
end
|
|
|
|
|
|
2020-09-24 07:35:55 -04:00
|
|
|
|
advanced_filter(/^min_views:(\d+)$/i) do |posts, match|
|
2020-09-24 05:52:04 -04:00
|
|
|
|
posts.where("topics.views >= ?", match.to_i)
|
|
|
|
|
end
|
|
|
|
|
|
2020-09-24 07:35:55 -04:00
|
|
|
|
advanced_filter(/^max_views:(\d+)$/i) do |posts, match|
|
2020-09-24 05:52:04 -04:00
|
|
|
|
posts.where("topics.views <= ?", match.to_i)
|
|
|
|
|
end
|
|
|
|
|
|
2013-05-22 14:36:14 -04:00
|
|
|
|
private
|
2013-02-05 14:16:51 -05:00
|
|
|
|
|
2018-01-03 16:45:21 -05:00
|
|
|
|
def search_tags(posts, match, positive:)
|
|
|
|
|
return if match.nil?
|
2018-10-05 05:23:52 -04:00
|
|
|
|
match.downcase!
|
2018-01-03 16:45:21 -05:00
|
|
|
|
modifier = positive ? "" : "NOT"
|
2014-10-17 23:54:11 -04:00
|
|
|
|
|
2018-01-03 16:45:21 -05:00
|
|
|
|
if match.include?('+')
|
|
|
|
|
tags = match.split('+')
|
|
|
|
|
|
|
|
|
|
posts.where("topics.id #{modifier} IN (
|
|
|
|
|
SELECT tt.topic_id
|
|
|
|
|
FROM topic_tags tt, tags
|
|
|
|
|
WHERE tt.tag_id = tags.id
|
|
|
|
|
GROUP BY tt.topic_id
|
2022-03-07 16:03:10 -05:00
|
|
|
|
HAVING to_tsvector(#{default_ts_config}, #{Search.wrap_unaccent("array_to_string(array_agg(lower(tags.name)), ' ')")}) @@ to_tsquery(#{default_ts_config}, #{Search.wrap_unaccent('?')})
|
2018-09-28 05:27:08 -04:00
|
|
|
|
)", tags.join('&'))
|
2018-01-03 16:45:21 -05:00
|
|
|
|
else
|
|
|
|
|
tags = match.split(",")
|
|
|
|
|
|
|
|
|
|
posts.where("topics.id #{modifier} IN (
|
|
|
|
|
SELECT DISTINCT(tt.topic_id)
|
|
|
|
|
FROM topic_tags tt, tags
|
2018-10-05 05:23:52 -04:00
|
|
|
|
WHERE tt.tag_id = tags.id AND lower(tags.name) IN (?)
|
2018-09-28 05:27:08 -04:00
|
|
|
|
)", tags)
|
2018-01-03 16:45:21 -05:00
|
|
|
|
end
|
|
|
|
|
end
|
|
|
|
|
|
|
|
|
|
def process_advanced_search!(term)
|
2015-09-15 03:21:46 -04:00
|
|
|
|
term.to_s.scan(/(([^" \t\n\x0B\f\r]+)?(("[^"]+")?))/).to_a.map do |(word, _)|
|
|
|
|
|
next if word.blank?
|
2015-06-22 22:14:06 -04:00
|
|
|
|
|
|
|
|
|
found = false
|
|
|
|
|
|
|
|
|
|
Search.advanced_filters.each do |matcher, block|
|
2015-09-15 03:21:46 -04:00
|
|
|
|
cleaned = word.gsub(/["']/, "")
|
|
|
|
|
if cleaned =~ matcher
|
2015-06-22 22:14:06 -04:00
|
|
|
|
(@filters ||= []) << [block, $1]
|
|
|
|
|
found = true
|
|
|
|
|
end
|
2018-06-07 01:28:18 -04:00
|
|
|
|
end
|
2015-06-22 22:14:06 -04:00
|
|
|
|
|
2020-08-06 22:47:00 -04:00
|
|
|
|
if word == 'l'
|
2014-09-03 08:10:18 -04:00
|
|
|
|
@order = :latest
|
|
|
|
|
nil
|
2020-09-23 04:59:42 -04:00
|
|
|
|
elsif word =~ /^order:\w+$/i
|
|
|
|
|
@order = word.downcase.gsub('order:', '').to_sym
|
2017-03-29 13:33:23 -04:00
|
|
|
|
nil
|
2020-09-23 04:59:42 -04:00
|
|
|
|
elsif word =~ /^in:title$/i || word == 't'
|
2018-02-19 22:41:00 -05:00
|
|
|
|
@in_title = true
|
|
|
|
|
nil
|
2020-09-23 04:59:42 -04:00
|
|
|
|
elsif word =~ /^topic:(\d+)$/i
|
2015-06-26 03:36:28 -04:00
|
|
|
|
topic_id = $1.to_i
|
|
|
|
|
if topic_id > 1
|
|
|
|
|
topic = Topic.find_by(id: topic_id)
|
|
|
|
|
if @guardian.can_see?(topic)
|
|
|
|
|
@search_context = topic
|
|
|
|
|
end
|
2014-09-03 07:54:10 -04:00
|
|
|
|
end
|
2018-06-07 01:28:18 -04:00
|
|
|
|
nil
|
2020-09-23 04:59:42 -04:00
|
|
|
|
elsif word =~ /^in:all$/i
|
2020-01-28 05:11:33 -05:00
|
|
|
|
@search_all_topics = true
|
|
|
|
|
nil
|
2020-09-23 04:59:42 -04:00
|
|
|
|
elsif word =~ /^in:personal$/i
|
2019-07-22 10:55:49 -04:00
|
|
|
|
@search_pms = true
|
|
|
|
|
nil
|
2022-04-26 16:47:01 -04:00
|
|
|
|
elsif word =~ /^in:messages$/i
|
|
|
|
|
@search_pms = true
|
|
|
|
|
nil
|
2020-09-23 04:59:42 -04:00
|
|
|
|
elsif word =~ /^in:personal-direct$/i
|
2014-12-04 18:22:39 -05:00
|
|
|
|
@search_pms = true
|
2018-06-07 01:28:18 -04:00
|
|
|
|
nil
|
2020-11-19 11:56:19 -05:00
|
|
|
|
elsif word =~ /^in:all-pms$/i
|
|
|
|
|
@search_all_pms = true
|
|
|
|
|
nil
|
2022-04-28 10:47:40 -04:00
|
|
|
|
elsif word =~ /^group_messages:(.+)$/i
|
|
|
|
|
@search_pms = true
|
|
|
|
|
nil
|
2020-09-23 04:59:42 -04:00
|
|
|
|
elsif word =~ /^personal_messages:(.+)$/i
|
2020-08-23 23:53:07 -04:00
|
|
|
|
if user = User.find_by_username($1)
|
2020-08-24 01:51:53 -04:00
|
|
|
|
@search_pms = true
|
2020-08-23 23:53:07 -04:00
|
|
|
|
@search_context = user
|
|
|
|
|
end
|
|
|
|
|
|
2018-06-07 01:28:18 -04:00
|
|
|
|
nil
|
|
|
|
|
else
|
2015-06-22 22:14:06 -04:00
|
|
|
|
found ? nil : word
|
2018-06-07 01:28:18 -04:00
|
|
|
|
end
|
2014-09-03 07:54:10 -04:00
|
|
|
|
end.compact.join(' ')
|
|
|
|
|
end
|
|
|
|
|
|
2013-05-23 14:26:51 -04:00
|
|
|
|
def find_grouped_results
|
|
|
|
|
if @results.type_filter.present?
|
|
|
|
|
raise Discourse::InvalidAccess.new("invalid type filter") unless Search.facets.include?(@results.type_filter)
|
2019-05-06 22:22:37 -04:00
|
|
|
|
# calling protected methods
|
2013-05-23 14:26:51 -04:00
|
|
|
|
send("#{@results.type_filter}_search")
|
2013-05-22 14:36:14 -04:00
|
|
|
|
else
|
2021-09-06 09:59:35 -04:00
|
|
|
|
if @term.present? && !@search_context
|
|
|
|
|
user_search
|
|
|
|
|
category_search
|
|
|
|
|
tags_search
|
|
|
|
|
groups_search
|
2013-05-22 14:36:14 -04:00
|
|
|
|
end
|
2013-05-23 14:26:51 -04:00
|
|
|
|
topic_search
|
2018-06-07 01:28:18 -04:00
|
|
|
|
end
|
2013-02-05 14:16:51 -05:00
|
|
|
|
|
2013-05-23 14:26:51 -04:00
|
|
|
|
@results
|
2014-03-07 14:59:29 -05:00
|
|
|
|
rescue ActiveRecord::StatementInvalid
|
|
|
|
|
# In the event of a PG:Error return nothing, it is likely they used a foreign language whose
|
|
|
|
|
# locale is not supported by postgres
|
2013-05-23 14:26:51 -04:00
|
|
|
|
end
|
2018-06-07 01:28:18 -04:00
|
|
|
|
|
2013-05-22 14:36:14 -04:00
|
|
|
|
# If we're searching for a single topic
|
|
|
|
|
def single_topic(id)
|
2019-01-14 04:30:45 -05:00
|
|
|
|
if @opts[:restrict_to_archetype].present?
|
|
|
|
|
archetype = @opts[:restrict_to_archetype] == Archetype.default ? Archetype.default : Archetype.private_message
|
2020-08-06 02:15:31 -04:00
|
|
|
|
|
|
|
|
|
post = posts_scope
|
|
|
|
|
.joins(:topic)
|
|
|
|
|
.find_by(
|
|
|
|
|
"topics.id = :id AND topics.archetype = :archetype AND posts.post_number = 1",
|
|
|
|
|
id: id,
|
|
|
|
|
archetype: archetype
|
|
|
|
|
)
|
2019-01-14 04:30:45 -05:00
|
|
|
|
else
|
2020-08-06 02:15:31 -04:00
|
|
|
|
post = posts_scope.find_by(topic_id: id, post_number: 1)
|
2019-01-14 04:30:45 -05:00
|
|
|
|
end
|
2020-08-06 02:15:31 -04:00
|
|
|
|
|
2014-09-02 05:15:08 -04:00
|
|
|
|
return nil unless @guardian.can_see?(post)
|
2013-05-13 17:04:41 -04:00
|
|
|
|
|
2014-09-02 05:15:08 -04:00
|
|
|
|
@results.add(post)
|
2013-05-23 14:26:51 -04:00
|
|
|
|
@results
|
2013-05-22 14:36:14 -04:00
|
|
|
|
end
|
|
|
|
|
|
2013-05-23 14:26:51 -04:00
|
|
|
|
def secure_category_ids
|
|
|
|
|
return @secure_category_ids unless @secure_category_ids.nil?
|
|
|
|
|
@secure_category_ids = @guardian.secure_category_ids
|
2013-05-22 14:36:14 -04:00
|
|
|
|
end
|
2013-02-05 14:16:51 -05:00
|
|
|
|
|
2013-05-23 14:26:51 -04:00
|
|
|
|
def category_search
|
2013-12-13 03:00:48 -05:00
|
|
|
|
# scope is leaking onto Category, this is not good and probably a bug in Rails
|
|
|
|
|
# the secure_category_ids will invoke the same method on User, it calls Category.where
|
|
|
|
|
# however the scope from the query below is leaking in to Category, this works around
|
|
|
|
|
# the issue while we figure out what is up in Rails
|
|
|
|
|
secure_category_ids
|
|
|
|
|
|
2013-05-23 14:26:51 -04:00
|
|
|
|
categories = Category.includes(:category_search_data)
|
|
|
|
|
.where("category_search_data.search_data @@ #{ts_query}")
|
2013-08-25 17:18:11 -04:00
|
|
|
|
.references(:category_search_data)
|
2013-05-23 14:26:51 -04:00
|
|
|
|
.order("topics_month DESC")
|
|
|
|
|
.secured(@guardian)
|
2017-07-31 20:28:16 -04:00
|
|
|
|
.limit(limit)
|
2013-05-13 17:04:41 -04:00
|
|
|
|
|
2014-09-02 05:15:08 -04:00
|
|
|
|
categories.each do |category|
|
|
|
|
|
@results.add(category)
|
2013-05-22 14:36:14 -04:00
|
|
|
|
end
|
2018-06-07 01:28:18 -04:00
|
|
|
|
end
|
2013-05-22 14:36:14 -04:00
|
|
|
|
|
2013-05-23 14:26:51 -04:00
|
|
|
|
def user_search
|
2015-10-28 14:56:08 -04:00
|
|
|
|
return if SiteSetting.hide_user_profiles_from_public && !@guardian.user
|
|
|
|
|
|
2021-04-27 01:52:45 -04:00
|
|
|
|
users = User
|
|
|
|
|
.includes(:user_search_data)
|
2015-11-04 17:04:37 -05:00
|
|
|
|
.references(:user_search_data)
|
2015-11-18 15:06:59 -05:00
|
|
|
|
.where(active: true)
|
|
|
|
|
.where(staged: false)
|
2015-11-04 17:04:37 -05:00
|
|
|
|
.where("user_search_data.search_data @@ #{ts_query("simple")}")
|
2013-05-23 14:26:51 -04:00
|
|
|
|
.order("CASE WHEN username_lower = '#{@original_term.downcase}' THEN 0 ELSE 1 END")
|
|
|
|
|
.order("last_posted_at DESC")
|
2017-07-31 20:28:16 -04:00
|
|
|
|
.limit(limit)
|
2013-05-22 14:36:14 -04:00
|
|
|
|
|
2021-09-06 09:59:35 -04:00
|
|
|
|
if !SiteSetting.enable_listing_suspended_users_on_search && !@guardian.user&.admin
|
|
|
|
|
users = users.where(suspended_at: nil)
|
|
|
|
|
end
|
|
|
|
|
|
2021-04-27 01:52:45 -04:00
|
|
|
|
users_custom_data_query = DB.query(<<~SQL, user_ids: users.pluck(:id), term: "%#{@original_term.downcase}%")
|
|
|
|
|
SELECT user_custom_fields.user_id, user_fields.name, user_custom_fields.value FROM user_custom_fields
|
|
|
|
|
INNER JOIN user_fields ON user_fields.id = REPLACE(user_custom_fields.name, 'user_field_', '')::INTEGER AND user_fields.searchable IS TRUE
|
|
|
|
|
WHERE user_id IN (:user_ids)
|
|
|
|
|
AND user_custom_fields.name LIKE 'user_field_%'
|
|
|
|
|
AND user_custom_fields.value ILIKE :term
|
|
|
|
|
SQL
|
|
|
|
|
users_custom_data = users_custom_data_query.reduce({}) do |acc, row|
|
|
|
|
|
acc[row.user_id] =
|
|
|
|
|
Array.wrap(acc[row.user_id]) << {
|
|
|
|
|
name: row.name,
|
|
|
|
|
value: row.value
|
|
|
|
|
}
|
|
|
|
|
acc
|
|
|
|
|
end
|
|
|
|
|
|
2014-09-02 05:15:08 -04:00
|
|
|
|
users.each do |user|
|
2021-04-27 01:52:45 -04:00
|
|
|
|
user.custom_data = users_custom_data[user.id] || []
|
2014-09-02 05:15:08 -04:00
|
|
|
|
@results.add(user)
|
2013-05-23 14:26:51 -04:00
|
|
|
|
end
|
2018-06-07 01:28:18 -04:00
|
|
|
|
end
|
2013-05-22 14:36:14 -04:00
|
|
|
|
|
2019-03-04 04:30:09 -05:00
|
|
|
|
def groups_search
|
|
|
|
|
groups = Group
|
|
|
|
|
.visible_groups(@guardian.user, "name ASC", include_everyone: false)
|
2019-03-08 03:23:44 -05:00
|
|
|
|
.where("name ILIKE :term OR full_name ILIKE :term", term: "%#{@term}%")
|
2021-10-06 11:42:52 -04:00
|
|
|
|
.limit(limit)
|
2019-03-04 04:30:09 -05:00
|
|
|
|
|
|
|
|
|
groups.each { |group| @results.add(group) }
|
|
|
|
|
end
|
|
|
|
|
|
2017-08-25 11:52:18 -04:00
|
|
|
|
def tags_search
|
|
|
|
|
return unless SiteSetting.tagging_enabled
|
|
|
|
|
tags = Tag.includes(:tag_search_data)
|
|
|
|
|
.where("tag_search_data.search_data @@ #{ts_query}")
|
|
|
|
|
.references(:tag_search_data)
|
|
|
|
|
.order("name asc")
|
|
|
|
|
.limit(limit)
|
|
|
|
|
|
2020-09-02 06:24:40 -04:00
|
|
|
|
hidden_tag_names = DiscourseTagging.hidden_tag_names(@guardian)
|
|
|
|
|
|
2017-08-25 11:52:18 -04:00
|
|
|
|
tags.each do |tag|
|
2020-09-02 06:24:40 -04:00
|
|
|
|
@results.add(tag) if !hidden_tag_names.include?(tag.name)
|
2017-08-25 11:52:18 -04:00
|
|
|
|
end
|
2018-06-07 01:28:18 -04:00
|
|
|
|
end
|
2017-08-25 11:52:18 -04:00
|
|
|
|
|
2021-10-06 11:42:52 -04:00
|
|
|
|
def exclude_topics_search
|
|
|
|
|
if @term.present?
|
|
|
|
|
user_search
|
|
|
|
|
category_search
|
|
|
|
|
tags_search
|
|
|
|
|
groups_search
|
|
|
|
|
end
|
|
|
|
|
end
|
|
|
|
|
|
2019-03-26 05:01:19 -04:00
|
|
|
|
PHRASE_MATCH_REGEXP_PATTERN = '"([^"]+)"'
|
|
|
|
|
|
FIX: Ensure that aggregating search shows the post with the higest rank.
Previously, we would only take either the `MIN` or `MAX` for
`post_number` during aggregation meaning that the ranking is not
considered.
```
require 'benchmark/ips'
Benchmark.ips do |x|
x.config(time: 10, warmup: 2)
x.report("current aggregate search query") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT topics.id, min(posts.post_number) post_number FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted)) GROUP BY topics.id ORDER BY MAX((
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
) DESC, topics.bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.report("current aggregate search query with proper ranking") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT subquery.topic_id id, (ARRAY_AGG(subquery.post_number))[1] post_number, MAX(subquery.rank) rank, MAX(subquery.bumped_at) bumped_at FROM (SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id", (
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
rank, topics.bumped_at bumped_at FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted))) subquery GROUP BY subquery.topic_id ORDER BY rank DESC, bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.compare!
end
```
```
Warming up --------------------------------------
current aggregate search query
1.000 i/100ms
current aggregate search query with proper ranking
1.000 i/100ms
Calculating -------------------------------------
current aggregate search query
17.726 (± 0.0%) i/s - 178.000 in 10.045107s
current aggregate search query with proper ranking
17.802 (± 0.0%) i/s - 178.000 in 10.002230s
Comparison:
current aggregate search query with proper ranking: 17.8 i/s
current aggregate search query: 17.7 i/s - 1.00x (± 0.00) slower
```
2020-07-07 03:36:57 -04:00
|
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def posts_query(limit, type_filter: nil, aggregate_search: false)
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2015-09-25 11:43:04 -04:00
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posts = Post.where(post_type: Topic.visible_post_types(@guardian.user))
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2014-12-03 21:46:52 -05:00
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.joins(:post_search_data, :topic)
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2021-10-26 03:16:38 -04:00
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if type_filter != "private_messages"
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posts = posts.joins("LEFT JOIN categories ON categories.id = topics.category_id")
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end
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2015-02-18 20:56:49 -05:00
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2018-05-07 05:43:55 -04:00
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is_topic_search = @search_context.present? && @search_context.is_a?(Topic)
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2019-05-01 11:36:20 -04:00
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posts = posts.where("topics.visible") unless is_topic_search
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2014-12-03 21:46:52 -05:00
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2021-10-26 03:16:38 -04:00
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if type_filter == "private_messages" || (is_topic_search && @search_context.private_message?)
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2020-08-18 02:51:17 -04:00
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posts = posts
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.where(
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"topics.archetype = ? AND post_search_data.private_message",
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Archetype.private_message
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)
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2013-08-01 20:31:36 -04:00
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2020-08-18 02:51:17 -04:00
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unless @guardian.is_admin?
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posts = posts.private_posts_for_user(@guardian.user)
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end
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2021-10-26 03:16:38 -04:00
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elsif type_filter == "all_topics"
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2020-08-18 02:51:17 -04:00
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private_posts = posts
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.where(
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"topics.archetype = ? AND post_search_data.private_message",
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Archetype.private_message
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)
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.private_posts_for_user(@guardian.user)
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2020-01-28 05:11:33 -05:00
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2020-08-18 02:51:17 -04:00
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posts = posts
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.where(
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|
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"topics.archetype <> ? AND NOT post_search_data.private_message",
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Archetype.private_message
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)
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.or(private_posts)
|
2015-06-22 22:14:06 -04:00
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else
|
2020-08-18 02:51:17 -04:00
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posts = posts.where(
|
|
|
|
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"topics.archetype <> ? AND NOT post_search_data.private_message",
|
|
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Archetype.private_message
|
|
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)
|
2018-06-07 01:28:18 -04:00
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end
|
2016-07-25 01:06:25 -04:00
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if @term.present?
|
2015-02-18 20:56:49 -05:00
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if is_topic_search
|
2016-07-25 01:06:25 -04:00
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term_without_quote = @term
|
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if @term =~ /"(.+)"/
|
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term_without_quote = $1
|
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end
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|
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if @term =~ /'(.+)'/
|
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term_without_quote = $1
|
2014-10-18 00:19:08 -04:00
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|
end
|
|
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|
2015-06-22 22:14:06 -04:00
|
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posts = posts.joins('JOIN users u ON u.id = posts.user_id')
|
|
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|
|
posts = posts.where("posts.raw || ' ' || u.username || ' ' || COALESCE(u.name, '') ilike ?", "%#{term_without_quote}%")
|
2018-06-07 01:28:18 -04:00
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else
|
2018-02-19 22:41:00 -05:00
|
|
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|
# A is for title
|
2015-06-22 22:14:06 -04:00
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|
# B is for category
|
2018-02-19 22:41:00 -05:00
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# C is for tags
|
|
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|
|
# D is for cooked
|
2015-06-22 22:14:06 -04:00
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|
weights = @in_title ? 'A' : (SiteSetting.tagging_enabled ? 'ABCD' : 'ABD')
|
2020-07-16 00:21:19 -04:00
|
|
|
|
posts = posts.where(post_number: 1) if @in_title
|
2015-06-22 22:14:06 -04:00
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|
|
posts = posts.where("post_search_data.search_data @@ #{ts_query(weight_filter: weights)}")
|
2019-03-26 05:01:19 -04:00
|
|
|
|
exact_terms = @term.scan(Regexp.new(PHRASE_MATCH_REGEXP_PATTERN)).flatten
|
2019-03-18 03:25:45 -04:00
|
|
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|
|
2015-06-22 22:14:06 -04:00
|
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|
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exact_terms.each do |exact|
|
2018-05-08 01:59:03 -04:00
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|
|
posts = posts.where("posts.raw ilike :exact OR topics.title ilike :exact", exact: "%#{exact}%")
|
2014-10-18 00:34:05 -04:00
|
|
|
|
end
|
2015-06-22 22:14:06 -04:00
|
|
|
|
end
|
2018-06-07 01:28:18 -04:00
|
|
|
|
end
|
2014-10-18 00:19:08 -04:00
|
|
|
|
|
2013-05-24 16:17:09 -04:00
|
|
|
|
@filters.each do |block, match|
|
|
|
|
|
if block.arity == 1
|
2015-06-22 22:14:06 -04:00
|
|
|
|
posts = instance_exec(posts, &block) || posts
|
2013-05-24 16:17:09 -04:00
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|
else
|
|
|
|
|
posts = instance_exec(posts, match, &block) || posts
|
2018-06-07 01:28:18 -04:00
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|
|
|
end
|
2013-05-24 14:03:45 -04:00
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end if @filters
|
|
|
|
|
|
2013-05-24 16:17:09 -04:00
|
|
|
|
# If we have a search context, prioritize those posts first
|
2019-03-18 03:25:45 -04:00
|
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|
|
posts =
|
|
|
|
|
if @search_context.present?
|
|
|
|
|
if @search_context.is_a?(User)
|
2021-10-26 03:16:38 -04:00
|
|
|
|
if type_filter == "private_messages"
|
2020-11-19 11:56:19 -05:00
|
|
|
|
if @guardian.is_admin? && !@search_all_pms
|
|
|
|
|
posts.private_posts_for_user(@search_context)
|
|
|
|
|
else
|
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posts
|
|
|
|
|
end
|
2019-03-18 03:25:45 -04:00
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|
else
|
|
|
|
|
posts.where("posts.user_id = #{@search_context.id}")
|
|
|
|
|
end
|
|
|
|
|
elsif @search_context.is_a?(Category)
|
|
|
|
|
category_ids = Category
|
|
|
|
|
.where(parent_category_id: @search_context.id)
|
|
|
|
|
.pluck(:id)
|
|
|
|
|
.push(@search_context.id)
|
|
|
|
|
|
|
|
|
|
posts.where("topics.category_id in (?)", category_ids)
|
2021-10-21 22:38:21 -04:00
|
|
|
|
elsif is_topic_search
|
2022-11-01 15:05:13 -04:00
|
|
|
|
posts.where("topics.id = ?", @search_context.id)
|
2019-03-18 03:25:45 -04:00
|
|
|
|
.order("posts.post_number #{@order == :latest ? "DESC" : ""}")
|
2019-11-13 19:40:26 -05:00
|
|
|
|
elsif @search_context.is_a?(Tag)
|
|
|
|
|
posts = posts
|
|
|
|
|
.joins("LEFT JOIN topic_tags ON topic_tags.topic_id = topics.id")
|
|
|
|
|
.joins("LEFT JOIN tags ON tags.id = topic_tags.tag_id")
|
2022-11-01 15:05:13 -04:00
|
|
|
|
posts.where("tags.id = ?", @search_context.id)
|
2013-05-24 14:03:45 -04:00
|
|
|
|
end
|
2019-03-18 03:25:45 -04:00
|
|
|
|
else
|
2019-03-18 23:23:14 -04:00
|
|
|
|
posts = categories_ignored(posts) unless @category_filter_matched
|
|
|
|
|
posts
|
2013-05-24 14:03:45 -04:00
|
|
|
|
end
|
FIX: Ensure that aggregating search shows the post with the higest rank.
Previously, we would only take either the `MIN` or `MAX` for
`post_number` during aggregation meaning that the ranking is not
considered.
```
require 'benchmark/ips'
Benchmark.ips do |x|
x.config(time: 10, warmup: 2)
x.report("current aggregate search query") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT topics.id, min(posts.post_number) post_number FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted)) GROUP BY topics.id ORDER BY MAX((
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
) DESC, topics.bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.report("current aggregate search query with proper ranking") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT subquery.topic_id id, (ARRAY_AGG(subquery.post_number))[1] post_number, MAX(subquery.rank) rank, MAX(subquery.bumped_at) bumped_at FROM (SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id", (
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
rank, topics.bumped_at bumped_at FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted))) subquery GROUP BY subquery.topic_id ORDER BY rank DESC, bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.compare!
end
```
```
Warming up --------------------------------------
current aggregate search query
1.000 i/100ms
current aggregate search query with proper ranking
1.000 i/100ms
Calculating -------------------------------------
current aggregate search query
17.726 (± 0.0%) i/s - 178.000 in 10.045107s
current aggregate search query with proper ranking
17.802 (± 0.0%) i/s - 178.000 in 10.002230s
Comparison:
current aggregate search query with proper ranking: 17.8 i/s
current aggregate search query: 17.7 i/s - 1.00x (± 0.00) slower
```
2020-07-07 03:36:57 -04:00
|
|
|
|
|
2020-04-27 10:35:27 -04:00
|
|
|
|
if @order == :latest
|
FIX: Ensure that aggregating search shows the post with the higest rank.
Previously, we would only take either the `MIN` or `MAX` for
`post_number` during aggregation meaning that the ranking is not
considered.
```
require 'benchmark/ips'
Benchmark.ips do |x|
x.config(time: 10, warmup: 2)
x.report("current aggregate search query") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT topics.id, min(posts.post_number) post_number FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted)) GROUP BY topics.id ORDER BY MAX((
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
) DESC, topics.bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.report("current aggregate search query with proper ranking") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT subquery.topic_id id, (ARRAY_AGG(subquery.post_number))[1] post_number, MAX(subquery.rank) rank, MAX(subquery.bumped_at) bumped_at FROM (SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id", (
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
rank, topics.bumped_at bumped_at FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted))) subquery GROUP BY subquery.topic_id ORDER BY rank DESC, bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.compare!
end
```
```
Warming up --------------------------------------
current aggregate search query
1.000 i/100ms
current aggregate search query with proper ranking
1.000 i/100ms
Calculating -------------------------------------
current aggregate search query
17.726 (± 0.0%) i/s - 178.000 in 10.045107s
current aggregate search query with proper ranking
17.802 (± 0.0%) i/s - 178.000 in 10.002230s
Comparison:
current aggregate search query with proper ranking: 17.8 i/s
current aggregate search query: 17.7 i/s - 1.00x (± 0.00) slower
```
2020-07-07 03:36:57 -04:00
|
|
|
|
if aggregate_search
|
2021-02-01 00:40:06 -05:00
|
|
|
|
posts = posts.order("MAX(posts.created_at) DESC")
|
|
|
|
|
else
|
|
|
|
|
posts = posts.reorder("posts.created_at DESC")
|
2014-08-22 16:55:19 -04:00
|
|
|
|
end
|
FIX: Ensure that aggregating search shows the post with the higest rank.
Previously, we would only take either the `MIN` or `MAX` for
`post_number` during aggregation meaning that the ranking is not
considered.
```
require 'benchmark/ips'
Benchmark.ips do |x|
x.config(time: 10, warmup: 2)
x.report("current aggregate search query") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT topics.id, min(posts.post_number) post_number FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted)) GROUP BY topics.id ORDER BY MAX((
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
) DESC, topics.bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.report("current aggregate search query with proper ranking") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT subquery.topic_id id, (ARRAY_AGG(subquery.post_number))[1] post_number, MAX(subquery.rank) rank, MAX(subquery.bumped_at) bumped_at FROM (SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id", (
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
rank, topics.bumped_at bumped_at FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted))) subquery GROUP BY subquery.topic_id ORDER BY rank DESC, bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.compare!
end
```
```
Warming up --------------------------------------
current aggregate search query
1.000 i/100ms
current aggregate search query with proper ranking
1.000 i/100ms
Calculating -------------------------------------
current aggregate search query
17.726 (± 0.0%) i/s - 178.000 in 10.045107s
current aggregate search query with proper ranking
17.802 (± 0.0%) i/s - 178.000 in 10.002230s
Comparison:
current aggregate search query with proper ranking: 17.8 i/s
current aggregate search query: 17.7 i/s - 1.00x (± 0.00) slower
```
2020-07-07 03:36:57 -04:00
|
|
|
|
elsif @order == :latest_topic
|
|
|
|
|
if aggregate_search
|
2021-02-01 00:40:06 -05:00
|
|
|
|
posts = posts.order("MAX(topics.created_at) DESC")
|
|
|
|
|
else
|
|
|
|
|
posts = posts.order("topics.created_at DESC")
|
FIX: Ensure that aggregating search shows the post with the higest rank.
Previously, we would only take either the `MIN` or `MAX` for
`post_number` during aggregation meaning that the ranking is not
considered.
```
require 'benchmark/ips'
Benchmark.ips do |x|
x.config(time: 10, warmup: 2)
x.report("current aggregate search query") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT topics.id, min(posts.post_number) post_number FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted)) GROUP BY topics.id ORDER BY MAX((
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
) DESC, topics.bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.report("current aggregate search query with proper ranking") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT subquery.topic_id id, (ARRAY_AGG(subquery.post_number))[1] post_number, MAX(subquery.rank) rank, MAX(subquery.bumped_at) bumped_at FROM (SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id", (
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
rank, topics.bumped_at bumped_at FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted))) subquery GROUP BY subquery.topic_id ORDER BY rank DESC, bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.compare!
end
```
```
Warming up --------------------------------------
current aggregate search query
1.000 i/100ms
current aggregate search query with proper ranking
1.000 i/100ms
Calculating -------------------------------------
current aggregate search query
17.726 (± 0.0%) i/s - 178.000 in 10.045107s
current aggregate search query with proper ranking
17.802 (± 0.0%) i/s - 178.000 in 10.002230s
Comparison:
current aggregate search query with proper ranking: 17.8 i/s
current aggregate search query: 17.7 i/s - 1.00x (± 0.00) slower
```
2020-07-07 03:36:57 -04:00
|
|
|
|
end
|
|
|
|
|
elsif @order == :views
|
|
|
|
|
if aggregate_search
|
2021-02-01 00:40:06 -05:00
|
|
|
|
posts = posts.order("MAX(topics.views) DESC")
|
|
|
|
|
else
|
|
|
|
|
posts = posts.order("topics.views DESC")
|
FIX: Ensure that aggregating search shows the post with the higest rank.
Previously, we would only take either the `MIN` or `MAX` for
`post_number` during aggregation meaning that the ranking is not
considered.
```
require 'benchmark/ips'
Benchmark.ips do |x|
x.config(time: 10, warmup: 2)
x.report("current aggregate search query") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT topics.id, min(posts.post_number) post_number FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted)) GROUP BY topics.id ORDER BY MAX((
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
) DESC, topics.bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.report("current aggregate search query with proper ranking") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT subquery.topic_id id, (ARRAY_AGG(subquery.post_number))[1] post_number, MAX(subquery.rank) rank, MAX(subquery.bumped_at) bumped_at FROM (SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id", (
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
rank, topics.bumped_at bumped_at FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted))) subquery GROUP BY subquery.topic_id ORDER BY rank DESC, bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.compare!
end
```
```
Warming up --------------------------------------
current aggregate search query
1.000 i/100ms
current aggregate search query with proper ranking
1.000 i/100ms
Calculating -------------------------------------
current aggregate search query
17.726 (± 0.0%) i/s - 178.000 in 10.045107s
current aggregate search query with proper ranking
17.802 (± 0.0%) i/s - 178.000 in 10.002230s
Comparison:
current aggregate search query with proper ranking: 17.8 i/s
current aggregate search query: 17.7 i/s - 1.00x (± 0.00) slower
```
2020-07-07 03:36:57 -04:00
|
|
|
|
end
|
|
|
|
|
elsif @order == :likes
|
2021-02-01 00:40:06 -05:00
|
|
|
|
if aggregate_search
|
|
|
|
|
posts = posts.order("MAX(posts.like_count) DESC")
|
|
|
|
|
else
|
|
|
|
|
posts = posts.order("posts.like_count DESC")
|
|
|
|
|
end
|
2021-10-21 22:38:21 -04:00
|
|
|
|
elsif !is_topic_search
|
FIX: Ensure that aggregating search shows the post with the higest rank.
Previously, we would only take either the `MIN` or `MAX` for
`post_number` during aggregation meaning that the ranking is not
considered.
```
require 'benchmark/ips'
Benchmark.ips do |x|
x.config(time: 10, warmup: 2)
x.report("current aggregate search query") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT topics.id, min(posts.post_number) post_number FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted)) GROUP BY topics.id ORDER BY MAX((
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
) DESC, topics.bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.report("current aggregate search query with proper ranking") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT subquery.topic_id id, (ARRAY_AGG(subquery.post_number))[1] post_number, MAX(subquery.rank) rank, MAX(subquery.bumped_at) bumped_at FROM (SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id", (
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
rank, topics.bumped_at bumped_at FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted))) subquery GROUP BY subquery.topic_id ORDER BY rank DESC, bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.compare!
end
```
```
Warming up --------------------------------------
current aggregate search query
1.000 i/100ms
current aggregate search query with proper ranking
1.000 i/100ms
Calculating -------------------------------------
current aggregate search query
17.726 (± 0.0%) i/s - 178.000 in 10.045107s
current aggregate search query with proper ranking
17.802 (± 0.0%) i/s - 178.000 in 10.002230s
Comparison:
current aggregate search query with proper ranking: 17.8 i/s
current aggregate search query: 17.7 i/s - 1.00x (± 0.00) slower
```
2020-07-07 03:36:57 -04:00
|
|
|
|
rank = <<~SQL
|
|
|
|
|
TS_RANK_CD(
|
|
|
|
|
post_search_data.search_data,
|
|
|
|
|
#{@term.blank? ? '' : ts_query(weight_filter: weights)},
|
|
|
|
|
#{SiteSetting.search_ranking_normalization}|32
|
|
|
|
|
)
|
|
|
|
|
SQL
|
|
|
|
|
|
2021-10-26 03:16:38 -04:00
|
|
|
|
if type_filter != "private_messages"
|
|
|
|
|
category_search_priority = <<~SQL
|
|
|
|
|
(
|
|
|
|
|
CASE categories.search_priority
|
|
|
|
|
WHEN #{Searchable::PRIORITIES[:very_high]}
|
|
|
|
|
THEN 3
|
|
|
|
|
WHEN #{Searchable::PRIORITIES[:very_low]}
|
|
|
|
|
THEN 1
|
|
|
|
|
ELSE 2
|
|
|
|
|
END
|
|
|
|
|
)
|
|
|
|
|
SQL
|
2020-12-23 02:14:41 -05:00
|
|
|
|
|
2021-10-26 03:16:38 -04:00
|
|
|
|
category_priority_weights = <<~SQL
|
|
|
|
|
(
|
|
|
|
|
CASE categories.search_priority
|
|
|
|
|
WHEN #{Searchable::PRIORITIES[:low]}
|
|
|
|
|
THEN #{SiteSetting.category_search_priority_low_weight}
|
|
|
|
|
WHEN #{Searchable::PRIORITIES[:high]}
|
|
|
|
|
THEN #{SiteSetting.category_search_priority_high_weight}
|
|
|
|
|
ELSE
|
|
|
|
|
CASE WHEN topics.closed
|
|
|
|
|
THEN 0.9
|
|
|
|
|
ELSE 1
|
|
|
|
|
END
|
2020-04-27 10:35:27 -04:00
|
|
|
|
END
|
2021-10-26 03:16:38 -04:00
|
|
|
|
)
|
|
|
|
|
SQL
|
2019-03-20 03:24:23 -04:00
|
|
|
|
|
2021-10-26 03:16:38 -04:00
|
|
|
|
data_ranking =
|
|
|
|
|
if @term.blank?
|
|
|
|
|
"(#{category_priority_weights})"
|
|
|
|
|
else
|
|
|
|
|
"(#{rank} * #{category_priority_weights})"
|
|
|
|
|
end
|
FIX: Ensure that aggregating search shows the post with the higest rank.
Previously, we would only take either the `MIN` or `MAX` for
`post_number` during aggregation meaning that the ranking is not
considered.
```
require 'benchmark/ips'
Benchmark.ips do |x|
x.config(time: 10, warmup: 2)
x.report("current aggregate search query") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT topics.id, min(posts.post_number) post_number FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted)) GROUP BY topics.id ORDER BY MAX((
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
) DESC, topics.bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.report("current aggregate search query with proper ranking") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT subquery.topic_id id, (ARRAY_AGG(subquery.post_number))[1] post_number, MAX(subquery.rank) rank, MAX(subquery.bumped_at) bumped_at FROM (SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id", (
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
rank, topics.bumped_at bumped_at FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted))) subquery GROUP BY subquery.topic_id ORDER BY rank DESC, bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.compare!
end
```
```
Warming up --------------------------------------
current aggregate search query
1.000 i/100ms
current aggregate search query with proper ranking
1.000 i/100ms
Calculating -------------------------------------
current aggregate search query
17.726 (± 0.0%) i/s - 178.000 in 10.045107s
current aggregate search query with proper ranking
17.802 (± 0.0%) i/s - 178.000 in 10.002230s
Comparison:
current aggregate search query with proper ranking: 17.8 i/s
current aggregate search query: 17.7 i/s - 1.00x (± 0.00) slower
```
2020-07-07 03:36:57 -04:00
|
|
|
|
|
2021-10-26 03:16:38 -04:00
|
|
|
|
posts =
|
|
|
|
|
if aggregate_search
|
|
|
|
|
posts.order("MAX(#{category_search_priority}) DESC", "MAX(#{data_ranking}) DESC")
|
|
|
|
|
else
|
|
|
|
|
posts.order("#{category_search_priority} DESC", "#{data_ranking} DESC")
|
|
|
|
|
end
|
|
|
|
|
end
|
2013-05-22 14:36:14 -04:00
|
|
|
|
|
2021-02-01 00:40:06 -05:00
|
|
|
|
posts = posts.order("topics.bumped_at DESC")
|
2013-05-23 11:13:23 -04:00
|
|
|
|
end
|
|
|
|
|
|
2021-10-26 03:16:38 -04:00
|
|
|
|
if type_filter != "private_messages"
|
|
|
|
|
posts =
|
|
|
|
|
if secure_category_ids.present?
|
|
|
|
|
posts.where("(categories.id IS NULL) OR (NOT categories.read_restricted) OR (categories.id IN (?))", secure_category_ids).references(:categories)
|
|
|
|
|
else
|
|
|
|
|
posts.where("(categories.id IS NULL) OR (NOT categories.read_restricted)").references(:categories)
|
|
|
|
|
end
|
|
|
|
|
end
|
FIX: Ensure that aggregating search shows the post with the higest rank.
Previously, we would only take either the `MIN` or `MAX` for
`post_number` during aggregation meaning that the ranking is not
considered.
```
require 'benchmark/ips'
Benchmark.ips do |x|
x.config(time: 10, warmup: 2)
x.report("current aggregate search query") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT topics.id, min(posts.post_number) post_number FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted)) GROUP BY topics.id ORDER BY MAX((
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
) DESC, topics.bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.report("current aggregate search query with proper ranking") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT subquery.topic_id id, (ARRAY_AGG(subquery.post_number))[1] post_number, MAX(subquery.rank) rank, MAX(subquery.bumped_at) bumped_at FROM (SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id", (
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
rank, topics.bumped_at bumped_at FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted))) subquery GROUP BY subquery.topic_id ORDER BY rank DESC, bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.compare!
end
```
```
Warming up --------------------------------------
current aggregate search query
1.000 i/100ms
current aggregate search query with proper ranking
1.000 i/100ms
Calculating -------------------------------------
current aggregate search query
17.726 (± 0.0%) i/s - 178.000 in 10.045107s
current aggregate search query with proper ranking
17.802 (± 0.0%) i/s - 178.000 in 10.002230s
Comparison:
current aggregate search query with proper ranking: 17.8 i/s
current aggregate search query: 17.7 i/s - 1.00x (± 0.00) slower
```
2020-07-07 03:36:57 -04:00
|
|
|
|
|
2020-08-06 22:47:00 -04:00
|
|
|
|
if @order
|
|
|
|
|
advanced_order = Search.advanced_orders&.fetch(@order, nil)
|
|
|
|
|
posts = advanced_order.call(posts) if advanced_order
|
|
|
|
|
end
|
|
|
|
|
|
2017-07-31 15:28:48 -04:00
|
|
|
|
posts = posts.offset(offset)
|
2017-07-20 12:12:34 -04:00
|
|
|
|
posts.limit(limit)
|
2014-05-15 10:31:45 -04:00
|
|
|
|
end
|
|
|
|
|
|
2019-03-18 03:25:45 -04:00
|
|
|
|
def categories_ignored(posts)
|
|
|
|
|
posts.where(<<~SQL, Searchable::PRIORITIES[:ignore])
|
2020-08-17 01:50:27 -04:00
|
|
|
|
(categories.search_priority IS NULL OR categories.search_priority IS NOT NULL AND categories.search_priority <> ?)
|
2019-03-18 03:25:45 -04:00
|
|
|
|
SQL
|
|
|
|
|
end
|
|
|
|
|
|
2018-02-19 22:41:00 -05:00
|
|
|
|
def self.default_ts_config
|
|
|
|
|
"'#{Search.ts_config}'"
|
2018-06-07 01:28:18 -04:00
|
|
|
|
end
|
2015-08-10 03:41:14 -04:00
|
|
|
|
|
2017-07-31 15:28:48 -04:00
|
|
|
|
def default_ts_config
|
|
|
|
|
self.class.default_ts_config
|
2018-06-07 01:28:18 -04:00
|
|
|
|
end
|
2015-08-10 03:41:14 -04:00
|
|
|
|
|
2022-12-12 10:57:20 -05:00
|
|
|
|
def self.ts_query(term:, ts_config: nil, joiner: nil, weight_filter: nil)
|
2020-07-27 23:53:25 -04:00
|
|
|
|
to_tsquery(
|
|
|
|
|
ts_config: ts_config,
|
|
|
|
|
term: set_tsquery_weight_filter(term, weight_filter),
|
|
|
|
|
)
|
|
|
|
|
end
|
|
|
|
|
|
|
|
|
|
def self.to_tsquery(ts_config: nil, term:, joiner: nil)
|
2017-07-31 15:28:48 -04:00
|
|
|
|
ts_config = ActiveRecord::Base.connection.quote(ts_config) if ts_config
|
2022-12-12 10:57:20 -05:00
|
|
|
|
escaped_term = wrap_unaccent("'#{escape_string(term)}'")
|
|
|
|
|
tsquery = "TO_TSQUERY(#{ts_config || default_ts_config}, #{escaped_term})"
|
|
|
|
|
tsquery = "REPLACE(#{tsquery}::text, '&', '#{escape_string(joiner)}')::tsquery" if joiner
|
2020-07-08 03:29:02 -04:00
|
|
|
|
tsquery
|
2016-08-12 13:04:46 -04:00
|
|
|
|
end
|
2014-08-28 03:15:53 -04:00
|
|
|
|
|
2020-07-27 23:53:25 -04:00
|
|
|
|
def self.set_tsquery_weight_filter(term, weight_filter)
|
2020-10-19 02:18:04 -04:00
|
|
|
|
"'#{self.escape_string(term)}':*#{weight_filter}"
|
|
|
|
|
end
|
|
|
|
|
|
|
|
|
|
def self.escape_string(term)
|
2022-12-12 10:57:20 -05:00
|
|
|
|
# HACK: The ’ has to be "unaccented" before it is escaped or the resulting
|
|
|
|
|
# tsqueries will be invalid
|
|
|
|
|
term = term.gsub("\u{2019}", "'") if SiteSetting.search_ignore_accents
|
|
|
|
|
|
2020-10-19 02:18:04 -04:00
|
|
|
|
PG::Connection.escape_string(term).gsub('\\', '\\\\\\')
|
2020-07-27 23:53:25 -04:00
|
|
|
|
end
|
|
|
|
|
|
2016-08-12 13:04:46 -04:00
|
|
|
|
def ts_query(ts_config = nil, weight_filter: nil)
|
2015-09-18 03:16:37 -04:00
|
|
|
|
@ts_query_cache ||= {}
|
|
|
|
|
@ts_query_cache["#{ts_config || default_ts_config} #{@term} #{weight_filter}"] ||=
|
2018-08-30 21:46:55 -04:00
|
|
|
|
Search.ts_query(term: @term, ts_config: ts_config, weight_filter: weight_filter)
|
2018-06-07 01:28:18 -04:00
|
|
|
|
end
|
2015-09-18 03:16:37 -04:00
|
|
|
|
|
2017-07-20 12:12:34 -04:00
|
|
|
|
def wrap_rows(query)
|
2017-03-08 09:46:23 -05:00
|
|
|
|
"SELECT *, row_number() over() row_number FROM (#{query.to_sql}) xxx"
|
2015-09-18 03:49:57 -04:00
|
|
|
|
end
|
2014-09-01 03:04:40 -04:00
|
|
|
|
|
2016-08-12 13:04:46 -04:00
|
|
|
|
def aggregate_post_sql(opts)
|
FIX: Ensure that aggregating search shows the post with the higest rank.
Previously, we would only take either the `MIN` or `MAX` for
`post_number` during aggregation meaning that the ranking is not
considered.
```
require 'benchmark/ips'
Benchmark.ips do |x|
x.config(time: 10, warmup: 2)
x.report("current aggregate search query") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT topics.id, min(posts.post_number) post_number FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted)) GROUP BY topics.id ORDER BY MAX((
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
) DESC, topics.bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.report("current aggregate search query with proper ranking") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT subquery.topic_id id, (ARRAY_AGG(subquery.post_number))[1] post_number, MAX(subquery.rank) rank, MAX(subquery.bumped_at) bumped_at FROM (SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id", (
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
rank, topics.bumped_at bumped_at FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted))) subquery GROUP BY subquery.topic_id ORDER BY rank DESC, bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.compare!
end
```
```
Warming up --------------------------------------
current aggregate search query
1.000 i/100ms
current aggregate search query with proper ranking
1.000 i/100ms
Calculating -------------------------------------
current aggregate search query
17.726 (± 0.0%) i/s - 178.000 in 10.045107s
current aggregate search query with proper ranking
17.802 (± 0.0%) i/s - 178.000 in 10.002230s
Comparison:
current aggregate search query with proper ranking: 17.8 i/s
current aggregate search query: 17.7 i/s - 1.00x (± 0.00) slower
```
2020-07-07 03:36:57 -04:00
|
|
|
|
default_opts = {
|
|
|
|
|
type_filter: opts[:type_filter]
|
|
|
|
|
}
|
|
|
|
|
|
2020-08-21 04:16:28 -04:00
|
|
|
|
min_id =
|
|
|
|
|
if SiteSetting.search_recent_regular_posts_offset_post_id > 0
|
|
|
|
|
if %w{all_topics private_message}.include?(opts[:type_filter])
|
|
|
|
|
0
|
|
|
|
|
else
|
|
|
|
|
SiteSetting.search_recent_regular_posts_offset_post_id
|
|
|
|
|
end
|
|
|
|
|
else
|
|
|
|
|
# This is kept around for backwards compatibility.
|
|
|
|
|
# TODO: Drop this code path after Discourse 2.7 has been released.
|
|
|
|
|
Search.min_post_id
|
|
|
|
|
end
|
2016-08-12 13:04:46 -04:00
|
|
|
|
|
2021-02-01 00:40:06 -05:00
|
|
|
|
min_or_max = @order == :latest ? "max" : "min"
|
FIX: Ensure that aggregating search shows the post with the higest rank.
Previously, we would only take either the `MIN` or `MAX` for
`post_number` during aggregation meaning that the ranking is not
considered.
```
require 'benchmark/ips'
Benchmark.ips do |x|
x.config(time: 10, warmup: 2)
x.report("current aggregate search query") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT topics.id, min(posts.post_number) post_number FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted)) GROUP BY topics.id ORDER BY MAX((
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
) DESC, topics.bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.report("current aggregate search query with proper ranking") do
DB.exec <<~SQL
SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id" FROM "posts" JOIN (SELECT *, row_number() over() row_number FROM (SELECT subquery.topic_id id, (ARRAY_AGG(subquery.post_number))[1] post_number, MAX(subquery.rank) rank, MAX(subquery.bumped_at) bumped_at FROM (SELECT "posts"."id", "posts"."user_id", "posts"."topic_id", "posts"."post_number", "posts"."raw", "posts"."cooked", "posts"."created_at", "posts"."updated_at", "posts"."reply_to_post_number", "posts"."reply_count", "posts"."quote_count", "posts"."deleted_at", "posts"."off_topic_count", "posts"."like_count", "posts"."incoming_link_count", "posts"."bookmark_count", "posts"."score", "posts"."reads", "posts"."post_type", "posts"."sort_order", "posts"."last_editor_id", "posts"."hidden", "posts"."hidden_reason_id", "posts"."notify_moderators_count", "posts"."spam_count", "posts"."illegal_count", "posts"."inappropriate_count", "posts"."last_version_at", "posts"."user_deleted", "posts"."reply_to_user_id", "posts"."percent_rank", "posts"."notify_user_count", "posts"."like_score", "posts"."deleted_by_id", "posts"."edit_reason", "posts"."word_count", "posts"."version", "posts"."cook_method", "posts"."wiki", "posts"."baked_at", "posts"."baked_version", "posts"."hidden_at", "posts"."self_edits", "posts"."reply_quoted", "posts"."via_email", "posts"."raw_email", "posts"."public_version", "posts"."action_code", "posts"."locked_by_id", "posts"."image_upload_id", (
TS_RANK_CD(
post_search_data.search_data,
TO_TSQUERY('english', '''postgres'':*ABCD'),
1|32
) *
(
CASE categories.search_priority
WHEN 2
THEN 0.6
WHEN 3
THEN 0.8
WHEN 4
THEN 1.2
WHEN 5
THEN 1.4
ELSE
CASE WHEN topics.closed
THEN 0.9
ELSE 1
END
END
)
)
rank, topics.bumped_at bumped_at FROM "posts" INNER JOIN "post_search_data" ON "post_search_data"."post_id" = "posts"."id" INNER JOIN "topics" ON "topics"."id" = "posts"."topic_id" AND ("topics"."deleted_at" IS NULL) LEFT JOIN categories ON categories.id = topics.category_id WHERE ("posts"."deleted_at" IS NULL) AND "posts"."post_type" IN (1, 2, 3, 4) AND (topics.visible) AND (topics.archetype <> 'private_message') AND (post_search_data.search_data @@ TO_TSQUERY('english', '''postgres'':*ABCD')) AND (categories.id NOT IN (
SELECT categories.id WHERE categories.search_priority = 1
)
) AND ((categories.id IS NULL) OR (NOT categories.read_restricted))) subquery GROUP BY subquery.topic_id ORDER BY rank DESC, bumped_at DESC LIMIT 51 OFFSET 0) xxx) x ON x.id = posts.topic_id AND x.post_number = posts.post_number WHERE ("posts"."deleted_at" IS NULL) ORDER BY row_number;
SQL
end
x.compare!
end
```
```
Warming up --------------------------------------
current aggregate search query
1.000 i/100ms
current aggregate search query with proper ranking
1.000 i/100ms
Calculating -------------------------------------
current aggregate search query
17.726 (± 0.0%) i/s - 178.000 in 10.045107s
current aggregate search query with proper ranking
17.802 (± 0.0%) i/s - 178.000 in 10.002230s
Comparison:
current aggregate search query with proper ranking: 17.8 i/s
current aggregate search query: 17.7 i/s - 1.00x (± 0.00) slower
```
2020-07-07 03:36:57 -04:00
|
|
|
|
|
2021-02-01 00:40:06 -05:00
|
|
|
|
query =
|
|
|
|
|
if @order == :likes
|
|
|
|
|
# likes are a pain to aggregate so skip
|
|
|
|
|
posts_query(limit, type_filter: opts[:type_filter])
|
|
|
|
|
.select('topics.id', "posts.post_number")
|
2018-06-07 01:28:18 -04:00
|
|
|
|
else
|
2021-02-01 00:40:06 -05:00
|
|
|
|
posts_query(limit, aggregate_search: true, type_filter: opts[:type_filter])
|
|
|
|
|
.select('topics.id', "#{min_or_max}(posts.post_number) post_number")
|
|
|
|
|
.group('topics.id')
|
2016-08-12 13:04:46 -04:00
|
|
|
|
end
|
|
|
|
|
|
2021-02-01 00:40:06 -05:00
|
|
|
|
if min_id > 0
|
2022-11-01 15:05:13 -04:00
|
|
|
|
low_set = query.dup.where("post_search_data.post_id < ?", min_id)
|
|
|
|
|
high_set = query.where("post_search_data.post_id >= ?", min_id)
|
2018-06-07 01:28:18 -04:00
|
|
|
|
|
2021-02-01 00:40:06 -05:00
|
|
|
|
return { default: wrap_rows(high_set), remaining: wrap_rows(low_set) }
|
2016-08-12 13:04:46 -04:00
|
|
|
|
end
|
2021-02-01 00:40:06 -05:00
|
|
|
|
|
|
|
|
|
# double wrapping so we get correct row numbers
|
|
|
|
|
{ default: wrap_rows(query) }
|
2018-06-07 01:28:18 -04:00
|
|
|
|
end
|
2014-09-02 22:13:13 -04:00
|
|
|
|
|
2016-08-12 13:04:46 -04:00
|
|
|
|
def aggregate_posts(post_sql)
|
|
|
|
|
return [] unless post_sql
|
|
|
|
|
|
2020-08-06 02:15:31 -04:00
|
|
|
|
posts_scope(posts_eager_loads(Post))
|
2016-08-12 13:04:46 -04:00
|
|
|
|
.joins("JOIN (#{post_sql}) x ON x.id = posts.topic_id AND x.post_number = posts.post_number")
|
|
|
|
|
.order('row_number')
|
2018-06-07 01:28:18 -04:00
|
|
|
|
end
|
2014-09-01 03:04:40 -04:00
|
|
|
|
|
2016-08-12 17:18:12 -04:00
|
|
|
|
def aggregate_search(opts = {})
|
2016-08-12 13:04:46 -04:00
|
|
|
|
post_sql = aggregate_post_sql(opts)
|
2017-03-08 09:46:23 -05:00
|
|
|
|
|
2016-08-12 17:18:12 -04:00
|
|
|
|
added = 0
|
|
|
|
|
|
2016-08-12 13:04:46 -04:00
|
|
|
|
aggregate_posts(post_sql[:default]).each do |p|
|
|
|
|
|
@results.add(p)
|
2014-08-22 16:55:19 -04:00
|
|
|
|
added += 1
|
|
|
|
|
end
|
|
|
|
|
|
2014-12-03 21:46:52 -05:00
|
|
|
|
if added < limit
|
|
|
|
|
aggregate_posts(post_sql[:remaining]).each { |p| @results.add(p) }
|
|
|
|
|
end
|
2018-06-07 01:28:18 -04:00
|
|
|
|
end
|
2014-12-03 21:46:52 -05:00
|
|
|
|
|
2013-05-23 14:26:51 -04:00
|
|
|
|
def private_messages_search
|
2017-05-30 19:14:09 -04:00
|
|
|
|
raise Discourse::InvalidAccess.new("anonymous can not search PMs") unless @guardian.user
|
|
|
|
|
|
2020-01-28 05:11:33 -05:00
|
|
|
|
aggregate_search(type_filter: "private_messages")
|
|
|
|
|
end
|
|
|
|
|
|
|
|
|
|
def all_topics_search
|
|
|
|
|
aggregate_search(type_filter: "all_topics")
|
2013-05-23 11:13:23 -04:00
|
|
|
|
end
|
2013-02-05 14:16:51 -05:00
|
|
|
|
|
2017-05-30 19:14:09 -04:00
|
|
|
|
def topic_search
|
2014-09-02 05:15:08 -04:00
|
|
|
|
if @search_context.is_a?(Topic)
|
2020-08-06 02:15:31 -04:00
|
|
|
|
posts = posts_scope(posts_eager_loads(posts_query(limit)))
|
2017-05-30 19:14:09 -04:00
|
|
|
|
.where('posts.topic_id = ?', @search_context.id)
|
|
|
|
|
|
|
|
|
|
posts.each do |post|
|
|
|
|
|
@results.add(post)
|
|
|
|
|
end
|
2018-06-07 01:28:18 -04:00
|
|
|
|
else
|
2017-07-20 12:12:34 -04:00
|
|
|
|
aggregate_search
|
2018-06-07 01:28:18 -04:00
|
|
|
|
end
|
|
|
|
|
end
|
2017-05-30 19:14:09 -04:00
|
|
|
|
|
|
|
|
|
def posts_eager_loads(query)
|
2020-07-17 04:27:30 -04:00
|
|
|
|
query = query.includes(:user, :post_search_data)
|
2017-05-30 19:14:09 -04:00
|
|
|
|
topic_eager_loads = [:category]
|
2018-06-07 01:28:18 -04:00
|
|
|
|
|
2017-05-30 19:14:09 -04:00
|
|
|
|
if SiteSetting.tagging_enabled
|
|
|
|
|
topic_eager_loads << :tags
|
|
|
|
|
end
|
|
|
|
|
|
2020-09-13 21:58:28 -04:00
|
|
|
|
Search.custom_topic_eager_loads.each do |custom_loads|
|
|
|
|
|
topic_eager_loads.concat(custom_loads.is_a?(Array) ? custom_loads : custom_loads.call(search_pms: @search_pms).to_a)
|
|
|
|
|
end
|
|
|
|
|
|
2017-05-30 19:14:09 -04:00
|
|
|
|
query.includes(topic: topic_eager_loads)
|
2018-06-07 01:28:18 -04:00
|
|
|
|
end
|
|
|
|
|
|
PERF: Limit characters used to generate headline for search blurb.
We determined using the following benchmark script that limiting to 2500 chars would mean a maximum of
25ms spent generating headlines.
```
require 'benchmark/ips'
string = <<~STRING
Far far away, behind the word mountains...
STRING
def sql_excerpt(string, l = 1000000)
DB.query_single(<<~SQL)
SELECT TS_HEADLINE('english', left('#{string}', #{l}), PLAINTO_TSQUERY('mountains'))
SQL
end
def ruby_excerpt(string)
output = DB.query_single("SELECT '#{string}'")[0]
Search::GroupedSearchResults::TextHelper.excerpt(output, 'mountains', radius: 100)
end
puts "Ruby Excerpt: #{ruby_excerpt(string)}"
puts "SQL Excerpt: #{sql_excerpt(string)}"
puts
Benchmark.ips do |x|
x.time = 10
[1000, 2500, 5000, 10000, 20000, 50000].each do |l|
short_string = string[0..l]
x.report("ts_headline excerpt #{l}") do
sql_excerpt(short_string, l)
end
x.report("actionview excerpt #{l}") do
ruby_excerpt(short_string)
end
end
x.compare!
end
```
```
actionview excerpt 1000: 20570.7 i/s
actionview excerpt 2500: 17863.1 i/s - 1.15x (± 0.00) slower
actionview excerpt 5000: 14228.9 i/s - 1.45x (± 0.00) slower
actionview excerpt 10000: 10906.2 i/s - 1.89x (± 0.00) slower
actionview excerpt 20000: 6255.0 i/s - 3.29x (± 0.00) slower
ts_headline excerpt 1000: 4337.5 i/s - 4.74x (± 0.00) slower
actionview excerpt 50000: 3222.7 i/s - 6.38x (± 0.00) slower
ts_headline excerpt 2500: 2240.4 i/s - 9.18x (± 0.00) slower
ts_headline excerpt 5000: 1258.7 i/s - 16.34x (± 0.00) slower
ts_headline excerpt 10000: 667.2 i/s - 30.83x (± 0.00) slower
ts_headline excerpt 20000: 348.7 i/s - 58.98x (± 0.00) slower
ts_headline excerpt 50000: 131.9 i/s - 155.91x (± 0.00) slower
```
2020-08-07 02:36:12 -04:00
|
|
|
|
# Limited for performance reasons since `TS_HEADLINE` is slow when the text
|
|
|
|
|
# document is too long.
|
|
|
|
|
MAX_LENGTH_FOR_HEADLINE = 2500
|
|
|
|
|
|
2020-08-06 02:15:31 -04:00
|
|
|
|
def posts_scope(default_scope = Post.all)
|
|
|
|
|
if SiteSetting.use_pg_headlines_for_excerpt
|
2020-10-19 02:18:04 -04:00
|
|
|
|
search_term = @term.present? ? Search.escape_string(@term) : nil
|
2020-08-07 00:43:09 -04:00
|
|
|
|
ts_config = default_ts_config
|
|
|
|
|
|
2020-08-06 02:15:31 -04:00
|
|
|
|
default_scope
|
|
|
|
|
.joins("INNER JOIN post_search_data pd ON pd.post_id = posts.id")
|
2020-08-07 00:43:09 -04:00
|
|
|
|
.joins("INNER JOIN topics t1 ON t1.id = posts.topic_id")
|
2020-08-06 02:15:31 -04:00
|
|
|
|
.select(
|
2020-08-12 03:33:26 -04:00
|
|
|
|
"TS_HEADLINE(
|
|
|
|
|
#{ts_config},
|
|
|
|
|
t1.fancy_title,
|
|
|
|
|
PLAINTO_TSQUERY(#{ts_config}, '#{search_term}'),
|
2020-12-21 01:42:03 -05:00
|
|
|
|
'StartSel=''<span class=\"#{HIGHLIGHT_CSS_CLASS}\">'', StopSel=''</span>'', HighlightAll=true'
|
2020-08-12 03:33:26 -04:00
|
|
|
|
) AS topic_title_headline",
|
|
|
|
|
"TS_HEADLINE(
|
|
|
|
|
#{ts_config},
|
|
|
|
|
LEFT(
|
|
|
|
|
TS_HEADLINE(
|
|
|
|
|
#{ts_config},
|
|
|
|
|
LEFT(pd.raw_data, #{MAX_LENGTH_FOR_HEADLINE}),
|
|
|
|
|
PLAINTO_TSQUERY(#{ts_config}, '#{search_term}'),
|
|
|
|
|
'ShortWord=0, MaxFragments=1, MinWords=50, MaxWords=51, StartSel='''', StopSel='''''
|
|
|
|
|
),
|
|
|
|
|
#{Search::GroupedSearchResults::BLURB_LENGTH}
|
|
|
|
|
),
|
|
|
|
|
PLAINTO_TSQUERY(#{ts_config}, '#{search_term}'),
|
|
|
|
|
'HighlightAll=true, StartSel=''<span class=\"#{HIGHLIGHT_CSS_CLASS}\">'', StopSel=''</span>'''
|
|
|
|
|
) AS headline",
|
|
|
|
|
"LEFT(pd.raw_data, 50) AS leading_raw_data",
|
|
|
|
|
"RIGHT(pd.raw_data, 50) AS trailing_raw_data",
|
2020-08-06 02:15:31 -04:00
|
|
|
|
default_scope.arel.projections
|
|
|
|
|
)
|
|
|
|
|
else
|
|
|
|
|
default_scope
|
|
|
|
|
end
|
|
|
|
|
end
|
|
|
|
|
|
2021-11-17 20:21:12 -05:00
|
|
|
|
def log_query?(readonly_mode)
|
|
|
|
|
SiteSetting.log_search_queries? &&
|
|
|
|
|
@opts[:search_type].present? &&
|
|
|
|
|
!readonly_mode &&
|
|
|
|
|
@opts[:type_filter] != "exclude_topics"
|
|
|
|
|
end
|
2022-01-26 02:24:11 -05:00
|
|
|
|
|
|
|
|
|
def min_search_term_length
|
|
|
|
|
return @opts[:min_search_term_length] if @opts[:min_search_term_length]
|
|
|
|
|
|
|
|
|
|
if SiteSetting.search_tokenize_chinese
|
|
|
|
|
return SiteSetting.defaults.get('min_search_term_length', 'zh_CN')
|
|
|
|
|
end
|
|
|
|
|
|
|
|
|
|
if SiteSetting.search_tokenize_japanese
|
|
|
|
|
return SiteSetting.defaults.get('min_search_term_length', 'ja')
|
|
|
|
|
end
|
|
|
|
|
|
|
|
|
|
SiteSetting.min_search_term_length
|
|
|
|
|
end
|
2013-02-05 14:16:51 -05:00
|
|
|
|
end
|