人们经常会问什么是对哈希进行排序的最佳方法,但是他们并没有问到所需的后续问题是什么是最快的方法,这确实是最好的方法.
无论使用何种Ruby版本,在Ruby中对Hash进行排序的最快方法是什么?
我正在寻找能够涵盖极端情况的其他答案,或者发现更通用和/或最快的方法的问题.
排序哈希的最快方法是什么?
require 'fruity'
HASH = Hash[('a'..'z').to_a.shuffle.map{ |k| [k, 1] }]
def sort_hash1(h)
h.sort.to_h
end
def sort_hash2(h)
Hash[h.sort]
end
def sort_hash3(h)
Hash[h.sort_by{ |k, v| k }]
end
def sort_keys(h)
keys = h.keys.sort
Hash[keys.zip(h.values_at(*keys))]
end
puts "Running on Ruby v#{ RUBY_VERSION }"
puts
compare do
do_sort_hash1 { sort_hash1(HASH) } if [].respond_to?(:to_h)
do_sort_hash2 { sort_hash2(HASH) }
do_sort_hash3 { sort_hash3(HASH) }
do_sort_keys { sort_keys(HASH) }
end
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在Mac OS便携式计算机上运行上述代码会产生以下输出:
# >> Running on Ruby v2.2.2
# >>
# >> Running each test 256 times. Test will take about 1 second.
# >> do_sort_keys is faster than do_sort_hash3 by 39.99999999999999% ± 10.0%
# >> do_sort_hash3 is faster than do_sort_hash1 by 1.9x ± 0.1
# >> do_sort_hash1 is similar to do_sort_hash2
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和:
# >> Running on Ruby v1.9.3
# >>
# >> Running each test 256 times. Test will take about 1 second.
# >> do_sort_keys is faster than do_sort_hash3 by 19.999999999999996% ± 10.0%
# >> do_sort_hash3 is faster than do_sort_hash2 by 4x ± 0.1
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加倍哈希大小:
HASH = Hash[[*('a'..'z'), *('A'..'Z')].shuffle.map{ |k| [k, 1] }]
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结果是:
# >> Running on Ruby v2.2.2
# >>
# >> Running each test 128 times. Test will take about 1 second.
# >> do_sort_keys is faster than do_sort_hash3 by 50.0% ± 10.0%
# >> do_sort_hash3 is faster than do_sort_hash1 by 2.2x ± 0.1
# >> do_sort_hash1 is similar to do_sort_hash2
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和:
# >> Running on Ruby v1.9.3
# >>
# >> Running each test 128 times. Test will take about 1 second.
# >> do_sort_keys is faster than do_sort_hash3 by 30.000000000000004% ± 10.0%
# >> do_sort_hash3 is faster than do_sort_hash2 by 4x ± 0.1
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值将根据硬件而变化,但相对结果不应更改.
为简单起见,选择Fruity而不是使用内置的Benchmark类.
这是由" 按键排序哈希,在Ruby中返回哈希 "提示的.
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