Fix various benchmark pain points.
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@ -11,6 +11,7 @@ require "./db-cars.cr"
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# ENV["DBSIZE_INCREMENT"] rescue 1_000
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# ENV["REPORT_DIR"] rescue "results"
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# ENV["NBRUN"] rescue 100
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# ENV["INDEXESMAXIT"] rescue 5000
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class DODB::Storage(V)
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def empty_db
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@ -37,7 +38,8 @@ end
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def prepare_env(storage, db_size, name, s_index, s_partition, s_tags, &)
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STDOUT.write "add #{db_size} values to #{name}\r".to_slice
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add_cars storage, db_size
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index_max_iterations = ENV["INDEXESMAXIT"].to_i rescue 5_000
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add_cars storage, db_size, max_it_tags: (db_size > index_max_iterations ? 0 : 5000)
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STDOUT.write " \r".to_slice
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yield storage, name, s_index, s_partition, s_tags
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@ -74,10 +76,10 @@ def batch(db_size, nb_run)
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corvet = search_name.get car_name_to_search
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end
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report(storage, nb_run, "#{name}_#{db_size}_partitions") do
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corvet = search_color.get car_color_to_search
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corvet = search_color.get? car_color_to_search
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end
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report(storage, nb_run, "#{name}_#{db_size}_tags") do
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corvet = search_keywords.get car_keyword_to_search
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corvet = search_keywords.get? car_keyword_to_search
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end
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puts ""
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}
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@ -137,17 +139,20 @@ nb_run = ENV["NBRUN"].to_i rescue 100
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db_size_max = ENV["DBSIZE"].to_i rescue 40_000
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current_size = ENV["DBSIZE_START"].to_i rescue 5_000
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size_increment = ENV["DBSIZE_INCREMENT"].to_i rescue 1_000
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index_max_iterations = ENV["INDEXESMAXIT"].to_i rescue 5_000
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# ENV["DBSIZE"] rescue 40_000
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# ENV["DBSIZE_START"] rescue 5_000
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# ENV["DBSIZE_INCREMENT"] rescue 1_000
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# ENV["REPORT_DIR"] rescue "results"
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# ENV["NBRUN"] rescue 100
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# ENV["INDEXESMAXIT"] rescue 5000
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pp! nb_run
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pp! db_size_max
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pp! current_size
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pp! size_increment
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pp! index_max_iterations
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while current_size <= db_size_max
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batch current_size, nb_run
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