2つの異なるクエリ手法を比較するためのmongodb/mongoidスクリプトのベンチマーク方法

今まで私はこの方法を見つけましたが、もっと良いことを知っているなら、答えてください...

最初のコード：

1.9.2p290 :038 >   Competitor  = Struct.new(:html_url, :description, :user)
1.9.2p290 :039 >   time = Benchmark.measure do
1.9.2p290 :040 >     competitors = []
1.9.2p290 :041?>   
1.9.2p290 :042 >     User.all.map do |user|
1.9.2p290 :043 >         user.watchlists.all.map do |wl|
1.9.2p290 :044 >             if wl.tags_array == ["ruby", "web", "framework"]
1.9.2p290 :045?>                 competitors << Competitor.new(wl.html_url, wl.description, wl.user.nickname)
1.9.2p290 :046?>             end
1.9.2p290 :047?>         end
1.9.2p290 :048?>     end
1.9.2p290 :049?>   end
MONGODB (34ms) heroku_app1707530['users'].find({})
MONGODB [DEBUG] cursor.refresh() for cursor 2492208785546818168
MONGODB [DEBUG] cursor.refresh() for cursor 2492208785546818168
 =>   1.390000   0.010000   1.400000 (  1.400842)

1.9.2p290 :050 > 

対2番目のコード：

1.9.2p290 :049 > Competitor  = Struct.new(:html_url, :description, :user)
1.9.2p290 :050 > time = Benchmark.measure do
1.9.2p290 :051 >     competitors = []
1.9.2p290 :052?>   
1.9.2p290 :053 >     User.where('watchlists.tags_array' => %w[ruby web framework]).only(:nickname, :watchlists).each do |u|
1.9.2p290 :054 >         u.watchlists.where(:tags_array => %w[ruby web framework]).each do |wl|
1.9.2p290 :055 >             competitors << Competitor.new(wl.html_url, wl.description, u.nickname)
1.9.2p290 :056?>         end
1.9.2p290 :057?>     end
1.9.2p290 :058?>   end
MONGODB (185ms) heroku_app1707530['users'].find({"watchlists.tags_array"=>["ruby", "web", "framework"]}, {:_type=>1, :nickname=>1, :watchlists=>1})
MONGODB [DEBUG] cursor.refresh() for cursor 2195378613558492020
 =>   0.440000   0.000000   0.440000 (  0.456714)

1.9.2p290 :059 > 

しかし、さらに良い：

最初のコード：

1.9.2p290 :157 > Competitor  = Struct.new(:html_url, :description, :user)
1.9.2p290 :158 > competitors = []
 => [] 
1.9.2p290 :159 > Benchmark.bm(10) do |x|
1.9.2p290 :160 >     x.report("first:") do
1.9.2p290 :161 >       User.all.map do |user|
1.9.2p290 :162 >           user.watchlists.all.map do |wl|
1.9.2p290 :163 >               if wl.tags_array == ["ruby", "web", "framework"]
1.9.2p290 :164?>                   competitors << Competitor.new(wl.html_url, wl.description, wl.user.nickname)
1.9.2p290 :165?>               end
1.9.2p290 :166?>           end
1.9.2p290 :167?>       end
1.9.2p290 :168?>     end
1.9.2p290 :169?>   x.report("second:") do
1.9.2p290 :170 >       User.all.map do |user|
1.9.2p290 :171 >           user.watchlists.all.map do |wl|
1.9.2p290 :172 >               if wl.tags_array == ["ruby", "web", "framework"]
1.9.2p290 :173?>                   competitors << Competitor.new(wl.html_url, wl.description, wl.user.nickname)
1.9.2p290 :174?>               end
1.9.2p290 :175?>           end
1.9.2p290 :176?>       end
1.9.2p290 :177?>     end
1.9.2p290 :178?>   x.report("third:") do
1.9.2p290 :179 >       User.all.map do |user|
1.9.2p290 :180 >           user.watchlists.all.map do |wl|
1.9.2p290 :181 >               if wl.tags_array == ["ruby", "web", "framework"]
1.9.2p290 :182?>                   competitors << Competitor.new(wl.html_url, wl.description, wl.user.nickname)
1.9.2p290 :183?>               end
1.9.2p290 :184?>           end
1.9.2p290 :185?>       end
1.9.2p290 :186?>     end
1.9.2p290 :187?>   end
                user     system      total        real
first:    MONGODB (30ms) heroku_app1707530['users'].find({})
MONGODB [DEBUG] cursor.refresh() for cursor 6320857008182747446
MONGODB [DEBUG] cursor.refresh() for cursor 6320857008182747446
  1.460000   0.010000   1.470000 (  1.475545)
second:   MONGODB (24ms) heroku_app1707530['users'].find({})
MONGODB [DEBUG] cursor.refresh() for cursor 8580701579081246457
MONGODB [DEBUG] cursor.refresh() for cursor 8580701579081246457
  1.470000   0.010000   1.480000 (  1.494812)
third:    MONGODB (24ms) heroku_app1707530['users'].find({})
MONGODB [DEBUG] cursor.refresh() for cursor 6472818135140756688
MONGODB [DEBUG] cursor.refresh() for cursor 6472818135140756688
  1.490000   0.010000   1.500000 (  1.505000)
 => true 
1.9.2p290 :188 > 

対2番目のコード：

1.9.2p290 :065 > Competitor  = Struct.new(:html_url, :description, :user)
1.9.2p290 :066 > competitors = []
 => [] 
1.9.2p290 :067 > Benchmark.bm(10) do |x|
1.9.2p290 :068 >     x.report("first:") {User.where('watchlists.tags_array' => %w[ruby web framework]).only(:nickname, :watchlists).each{|u|u.watchlists.where(:tags_array => %w[ruby web framework]).each{|wl|competitors << Competitor.new(wl.html_url, wl.description, u.nickname)}}}
1.9.2p290 :069?>   x.report("second:") {User.where('watchlists.tags_array' => %w[ruby web framework]).only(:nickname, :watchlists).each{|u|u.watchlists.where(:tags_array => %w[ruby web framework]).each{|wl|competitors << Competitor.new(wl.html_url, wl.description, u.nickname)}}}
1.9.2p290 :070?>   x.report("third:") {User.where('watchlists.tags_array' => %w[ruby web framework]).only(:nickname, :watchlists).each{|u|u.watchlists.where(:tags_array => %w[ruby web framework]).each{|wl|competitors << Competitor.new(wl.html_url, wl.description, u.nickname)}}}
1.9.2p290 :071?>   end
                user     system      total        real
first:    MONGODB (163ms) heroku_app1707530['users'].find({"watchlists.tags_array"=>["ruby", "web", "framework"]}, {:_type=>1, :nickname=>1, :watchlists=>1})
MONGODB [DEBUG] cursor.refresh() for cursor 7239021952645827000
  0.330000   0.000000   0.330000 (  0.380199)
second:   MONGODB (164ms) heroku_app1707530['users'].find({"watchlists.tags_array"=>["ruby", "web", "framework"]}, {:_type=>1, :nickname=>1, :watchlists=>1})
MONGODB [DEBUG] cursor.refresh() for cursor 4816095738351422260
  0.320000   0.010000   0.330000 (  0.381196)
third:    MONGODB (125ms) heroku_app1707530['users'].find({"watchlists.tags_array"=>["ruby", "web", "framework"]}, {:_type=>1, :nickname=>1, :watchlists=>1})
MONGODB [DEBUG] cursor.refresh() for cursor 5014359782446173361
  0.390000   0.010000   0.400000 (  0.397241)
 => true 
1.9.2p290 :072 > 

次に、2番目のコードの結果が本当に速くなり、CPUの消費が少なくなります...、rubish に感​​謝します "2番目のコード"