在 Python 中计算内存碎片 [英] Calculating memory fragmentation in Python

问题描述

我有一个长时间运行的进程，它不断地分配和释放对象.虽然对象正在被释放，但 RSS 内存使用量会随着时间的推移而上升.

I have a long running process that allocates and releases objects constantly. Although objects are being freed, the RSS mem usage goes up over time.

如何计算发生了多少碎片?一种可能性是计算 RSS/sum_of_allocations 并将其作为指标.即便如此，我该怎么做才能计算分母(sum_of_allocations).

How can I calculate how much fragmentation is happening? One possibility is to calculate RSS / sum_of_allocations and take that as an indicator. even then, how to do I calculate the denominator (sum_of_allocations).

推荐答案

查看垃圾收集器接口，gc.

Check out the Garbage Collector interface, gc.

http://docs.python.org/2/library/gc.html

您可以使用 gc.get_objects() 来检查正在跟踪的对象

You can inspect the objects are being tracked with gc.get_objects()

作为一般规则，原子类型的实例不会被跟踪，非原子类型(容器、用户定义的对象...)的实例会被跟踪."

"As a general rule, instances of atomic types aren’t tracked and instances of non-atomic types (containers, user-defined objects...) are."

还有 gc.garbage，它可以查找无法释放但无法访问的对象.

There is also gc.garbage, which finds objects that can't be freed but are unreachable.

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