其他指标:

require 'benchmark'
require 'ostruct'

REP = 100000

User = Struct.new(:name, :age)

USER = "User".freeze
AGE = 21
HASH = {:name => USER, :age => AGE}.freeze

Benchmark.bm 20 do |x|
  x.report 'OpenStruct slow' do
    REP.times do |index|
       OpenStruct.new(:name => "User", :age => 21)
    end
  end

  x.report 'OpenStruct fast' do
    REP.times do |index|
       OpenStruct.new(HASH)
    end
  end

  x.report 'Struct slow' do
    REP.times do |index|
       User.new("User", 21)
    end
  end

  x.report 'Struct fast' do
    REP.times do |index|
       User.new(USER, AGE)
    end
  end
end

对于那些没有耐心的人来说，他们想要了解基准测试结果，而不需要自己运行它们，下面是上面代码的输出(在MB Pro 2.4GHz i7上)

                          user     system      total        real
OpenStruct slow       4.430000   0.250000   4.680000 (  4.683851)
OpenStruct fast       4.380000   0.270000   4.650000 (  4.649809)
Struct slow           0.090000   0.000000   0.090000 (  0.094136)
Struct fast           0.080000   0.000000   0.080000 (  0.078940)

看一下与新方法相关的API。这里有很多不同之处。

就我个人而言，我非常喜欢OpenStruct，因为我不需要预先定义对象的结构，只需要添加我想要的东西。我猜这将是它的主要(缺点)优势?

http://www.ruby-doc.org/core/classes/Struct.html http://www.ruby-doc.org/stdlib/libdoc/ostruct/rdoc/classes/OpenStruct.html

结构:

>> s = Struct.new(:a, :b).new(1, 2)
=> #<struct a=1, b=2>
>> s.a
=> 1
>> s.b
=> 2
>> s.c
NoMethodError: undefined method `c` for #<struct a=1, b=2>

OpenStruct:

>> require 'ostruct'
=> true
>> os = OpenStruct.new(a: 1, b: 2)
=> #<OpenStruct a=1, b=2>
>> os.a
=> 1
>> os.b
=> 2
>> os.c
=> nil

使用@Robert代码，我将Hashie::Mash添加到基准测试项中，得到了这样的结果:

                           user     system      total        real
Hashie::Mash slow      3.600000   0.000000   3.600000 (  3.755142)
Hashie::Mash fast      3.000000   0.000000   3.000000 (  3.318067)
OpenStruct slow       11.200000   0.010000  11.210000 ( 12.095004)
OpenStruct fast       10.900000   0.000000  10.900000 ( 12.669553)
Struct slow            0.370000   0.000000   0.370000 (  0.470550)
Struct fast            0.140000   0.000000   0.140000 (  0.145161)

Not actually an answer to the question, but a very important consideration if you care about performance. Please notice that every time you create an OpenStruct the operation clears the method cache, which means your application will perform slower. The slowness or not of OpenStruct is not just about how it works by itself, but the implications that using them bring to the whole application: https://github.com/charliesome/charlie.bz/blob/master/posts/things-that-clear-rubys-method-cache.md#openstructs

其他指标:

require 'benchmark'
require 'ostruct'

REP = 100000

User = Struct.new(:name, :age)

USER = "User".freeze
AGE = 21
HASH = {:name => USER, :age => AGE}.freeze

Benchmark.bm 20 do |x|
  x.report 'OpenStruct slow' do
    REP.times do |index|
       OpenStruct.new(:name => "User", :age => 21)
    end
  end

  x.report 'OpenStruct fast' do
    REP.times do |index|
       OpenStruct.new(HASH)
    end
  end

  x.report 'Struct slow' do
    REP.times do |index|
       User.new("User", 21)
    end
  end

  x.report 'Struct fast' do
    REP.times do |index|
       User.new(USER, AGE)
    end
  end
end

对于那些没有耐心的人来说，他们想要了解基准测试结果，而不需要自己运行它们，下面是上面代码的输出(在MB Pro 2.4GHz i7上)

                          user     system      total        real
OpenStruct slow       4.430000   0.250000   4.680000 (  4.683851)
OpenStruct fast       4.380000   0.270000   4.650000 (  4.649809)
Struct slow           0.090000   0.000000   0.090000 (  0.094136)
Struct fast           0.080000   0.000000   0.080000 (  0.078940)