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微基准

网络microbenchmark

微基准

微基准

微基准

microbenchmark

我们通过微基准（microbenchmark）和用户应用程序来评估RDD。实验表明，在处理迭代式应用上Spark比Hadoop快高达20多 …

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Very often , they only measure the performance of the specific microbenchmark , and nothing more.

通常，它们只度量特定微基准的性能，别无它物。

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The scary thing about microbenchmarks is that they always produce a number , even if that number is meaningless .

关于微基准，令人恐慌的事情是它总是产生一个数字，即使这个数字毫无意义。

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The standard deviations were always impossible to measure (typical of microbenchmarks).

标准偏差总是不可能度量的（微基准测试的典型情况）。

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So far in this article , I have only considered microbenchmarks.

在本文中，到目前为止只考虑了微基准测试。

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Microbenchmarks should mirror real use cases .

微基准测试应该反映真实用例。

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So , how do you write a perfect microbenchmark ?

那么，如何编写好的微基准呢？

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The ostensible purpose of this microbenchmark was to test which was faster, synchronization or

这个微基准表面上的目的是测试同步与

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