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  1. Android 平台
  2. Android 性能优化 - 088

Performance Cost of Memory Leaks - 1503170424

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视频发布时间

2015年3月11日

视频介绍

Just because you’re working in a managed memory environment on Android, doesn’t mean your app is immune to memory leaks. And, as you start leaking more memory, the amount of memory available to your app continues to get smaller, which means that Garbage Collection events will be executed more often to try to free up space for normal program execution, which of course, chews through your performance.

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解说词中文版:

我们编写的程序运行在Android Runtime(ART)虚拟机里

最棒的感受就是

程序的内存使用会一直受到管理

你不用去担心对象在生成和被销毁时产生的

所有的额外的内存开销

但这还是要引起注意

即使在一种具有内存管理的编程语言中

程序仍旧可能会因为内存泄露而崩溃

我叫Colt McAnlis

在复杂的代码库的编写中 内存泄露问题是一个经常会被提及的话题

如果发现问题而不及时处理

可能会在app上引发讨厌的性能问题

你可能还会记得 ART中内存堆如何分段于空间中取决于

给程序分配内存的方式

和系统为了使垃圾回收机制更有效会

怎样合理组织这些堆内存

基于你的ART版本

当为新的对象分配内存空间时

通常都要考虑ART的这些特性来使其

适应其应当被放置的空间

这就是问题关键所在

每一份空间都有大小限制

当为对象分配内存空间时 我们会一直追踪整个程序所占的内存大小

当内存占用开始增长的时候

为了以后的内存空间分配 系统就会自动启动垃圾回收机制

去尝试释放掉一部分内存空间

一般情况下 垃圾回收的问题对于性能而言

都不太容易被察觉到

然而 垃圾回收被一遍一遍

一遍一遍地执行 就会使吞噬掉你程序的CPU的时间片

在垃圾回收上花的时间越多

在做其他事情上花的时间就会越少

比如在渲染程序或者播放音频时

现在 一个可以引起一连串垃圾回收动作的普遍问题

就是内存泄露

内存泄露是指垃圾收集器没有成功识别

程序已不再使用的对象

造成的后果是这些对象仍然占用着宝贵的内存

使那些内存无法分配给其他有用的对象

当你开始泄漏更多的內存时

内存堆中可分配的空间就会变得越来越小

也就意味着垃圾回收会比之前更频繁的执行

来尝试释放更多的空间给正常运行的程序

如果有很多垃圾没有被成功释放掉

程序就不会正常工作

找到并并修复内存泄露确实是件苦差事

有效的做法是 你要对你的代码了若指掌

确保你在代码库中的关键步骤的代码

按照正常的要求运行

判断内存泄露是否发生不管怎么样都需要经过一番仔细的检查

举个栗子 让我们假设你希望确保

当用户在app中

离开一个Activity时

与这个Activity有关的所有内存都会被正确清理

该怎么去做呢

首先 你要使用Heap DDMS中自带的内存监测工

记录下当Activity最初打开时

占用内存的情况

第二步 创建一个可以让我们之前问题提到的Activity转换到的

空白并且拥有已知或

低内存占用的Activity

第三步 当这两个Activity发生转换时

强制执行一次垃圾回收

如果Activity的一切内存占用都被正确销毁

那么垃圾回首动作应该回收了所有的Activity内存分配

如果你在第二个的heap dump中看见一些可疑的东西

那些不应该出在那里的内存数据

聪明的做法是使用Allocation Tracker 内存分配跟踪器 继续分析

并深入研究内存的分配情况

利用这个工具 你可以追踪Activity内存分配

从它被载入直到被卸载和

你切换回那个空白Activity

Allocation Tracker会给出

一个已分配对象的列表

以及这些对象的创建顺序 以及他们在何位置被创建

这样一来你就可以去追踪那些不听话的内存

并弄明白他们为什么没有被释放

即使你在一个内存被管理环境中

为了让app保持优越的性能

你仍然要亲自做许多手工内存管理的工作

所以还请务必观看Android Performance Pattern Change

的其他内容

也别忘了在Google+上关注我们

里面有我们提出的一些其他的小窍门 小技巧

不要浮躁 一定要去测试你的代码 并时刻牢记确保程序性能的重要性

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