2012-04-08 49 views
1

我在活动中有以下代码。最终,我试图做框架动画,但GC正在杀死性能。我试过显式回收,但没有区别。Android垃圾回收运行amok

我也知道我可以重新使用位图与BitmapFactor.Options.inBitmap,并且确实解决了问题,但限制我到API> = 11这不是一个选项。

这段代码只是说明了这个问题。这不是我的应用程序的一部分:

 Log.d("GC_badness", "0: " + SystemClock.uptimeMillis()); 
     Bitmap image = BitmapFactory.decodeResource(getResources(), R.drawable.my_image); 
     Log.d("GC_badness", "1: " + SystemClock.uptimeMillis()); 
     image = BitmapFactory.decodeResource(getResources(), R.drawable.my_image); 
     Log.d("GC_badness", "2: " + SystemClock.uptimeMillis()); 
     image = BitmapFactory.decodeResource(getResources(), R.drawable.my_image); 
     Log.d("GC_badness", "3: " + SystemClock.uptimeMillis()); 
     image = BitmapFactory.decodeResource(getResources(), R.drawable.my_image); 
     Log.d("GC_badness", "4: " + SystemClock.uptimeMillis()); 
     image = BitmapFactory.decodeResource(getResources(), R.drawable.my_image); 
     Log.d("GC_badness", "5: " + SystemClock.uptimeMillis()); 
     image = BitmapFactory.decodeResource(getResources(), R.drawable.my_image); 
     Log.d("GC_badness", "6: " + SystemClock.uptimeMillis()); 

这会导致以下日志条目。每个来自jpg资源的位图加载至少导致3个垃圾收集,多达8个垃圾收集。大多数情况下,它们什么都收不到或者什么都收不到。即使有多条消息说明它是堆,堆也没有增长。这也很令人困惑。

我很难过。我无法找到一种方法来重新使用我的位图API-11,我无法忍受所有这些无用的垃圾回收所带来的巨大延迟。

04-07 18:17:51.860: D/GC_badness(7510): 0: 360583998 
04-07 18:17:51.900: D/dalvikvm(7510): GC_FOR_ALLOC freed 34K, 5% free 6320K/6595K, paused 32ms 
04-07 18:17:51.900: I/dalvikvm-heap(7510): Grow heap (frag case) to 7.744MB for 1584016-byte allocation 
04-07 18:17:51.950: D/dalvikvm(7510): GC_FOR_ALLOC freed <1K, 5% free 7867K/8199K, paused 27ms 
04-07 18:17:52.000: D/dalvikvm(7510): GC_CONCURRENT freed <1K, 5% free 7868K/8199K, paused 2ms+3ms 
04-07 18:17:52.030: D/dalvikvm(7510): GC_FOR_ALLOC freed <1K, 5% free 7868K/8199K, paused 31ms 
04-07 18:17:52.030: I/dalvikvm-heap(7510): Grow heap (frag case) to 8.416MB for 704016-byte allocation 
04-07 18:17:52.070: D/dalvikvm(7510): GC_FOR_ALLOC freed <1K, 4% free 8555K/8903K, paused 37ms 
04-07 18:17:52.070: D/dalvikvm(8107): GC_FOR_ALLOC freed 1464K, 39% free 17183K/27911K, paused 62ms 
04-07 18:17:52.100: D/GC_badness(7510): 1: 360584238 
04-07 18:17:52.100: D/dalvikvm(8189): GC_CONCURRENT freed 286K, 8% free 6917K/7495K, paused 17ms+3ms 
04-07 18:17:52.110: D/dalvikvm(7510): GC_CONCURRENT freed 1546K, 22% free 7009K/8903K, paused 2ms+2ms 
04-07 18:17:52.150: D/dalvikvm(7510): GC_FOR_ALLOC freed <1K, 22% free 7008K/8903K, paused 32ms 
04-07 18:17:52.150: I/dalvikvm-heap(7510): Grow heap (frag case) to 8.416MB for 1584016-byte allocation 
04-07 18:17:52.200: D/dalvikvm(7510): GC_FOR_ALLOC freed 0K, 4% free 8555K/8903K, paused 37ms 
04-07 18:17:52.250: D/dalvikvm(7510): GC_CONCURRENT freed <1K, 4% free 8555K/8903K, paused 2ms+2ms 
04-07 18:17:52.280: D/dalvikvm(7510): GC_FOR_ALLOC freed <1K, 4% free 8555K/8903K, paused 30ms 
04-07 18:17:52.280: I/dalvikvm-heap(7510): Grow heap (frag case) to 9.086MB for 704016-byte allocation 
04-07 18:17:52.310: D/dalvikvm(7510): GC_FOR_ALLOC freed 0K, 4% free 9243K/9607K, paused 23ms 
04-07 18:17:52.330: D/dalvikvm(8107): GC_CONCURRENT freed 588K, 34% free 18618K/27911K, paused 4ms+5ms 
04-07 18:17:52.350: D/GC_badness(7510): 2: 360584482 
04-07 18:17:52.350: D/dalvikvm(7510): GC_CONCURRENT freed 1546K, 20% free 7696K/9607K, paused 1ms+2ms 
04-07 18:17:52.380: D/dalvikvm(7510): GC_FOR_ALLOC freed 688K, 28% free 7008K/9607K, paused 22ms 
04-07 18:17:52.380: I/dalvikvm-heap(7510): Grow heap (frag case) to 8.416MB for 1584016-byte allocation 
04-07 18:17:52.400: D/dalvikvm(7510): GC_FOR_ALLOC freed <1K, 11% free 8555K/9607K, paused 21ms 
04-07 18:17:52.440: D/GC_badness(7510): 3: 360584577 
04-07 18:17:52.450: D/dalvikvm(7510): GC_CONCURRENT freed <1K, 4% free 9243K/9607K, paused 1ms+2ms 
04-07 18:17:52.470: D/dalvikvm(7510): GC_FOR_ALLOC freed 2234K, 28% free 7008K/9607K, paused 20ms 
04-07 18:17:52.470: I/dalvikvm-heap(7510): Grow heap (frag case) to 8.416MB for 1584016-byte allocation 
04-07 18:17:52.500: D/dalvikvm(7510): GC_FOR_ALLOC freed 0K, 11% free 8555K/9607K, paused 29ms 
04-07 18:17:52.510: D/dalvikvm(8107): GC_CONCURRENT freed 1785K, 33% free 18832K/27911K, paused 2ms+5ms 
04-07 18:17:52.530: D/GC_badness(7510): 4: 360584668 
04-07 18:17:52.540: D/dalvikvm(7510): GC_CONCURRENT freed <1K, 4% free 9243K/9607K, paused 1ms+2ms 
04-07 18:17:52.570: D/dalvikvm(7510): GC_FOR_ALLOC freed 2234K, 28% free 7008K/9607K, paused 28ms 
04-07 18:17:52.570: I/dalvikvm-heap(7510): Grow heap (frag case) to 8.416MB for 1584016-byte allocation 
04-07 18:17:52.590: D/dalvikvm(7510): GC_FOR_ALLOC freed <1K, 11% free 8555K/9607K, paused 22ms 
04-07 18:17:52.620: D/dalvikvm(7510): GC_CONCURRENT freed <1K, 4% free 9243K/9607K, paused 3ms+2ms 
04-07 18:17:52.630: D/GC_badness(7510): 5: 360584765 
04-07 18:17:52.650: D/dalvikvm(7510): GC_FOR_ALLOC freed 2235K, 28% free 7008K/9607K, paused 21ms 
04-07 18:17:52.650: I/dalvikvm-heap(7510): Grow heap (frag case) to 8.416MB for 1584016-byte allocation 
04-07 18:17:52.680: D/dalvikvm(7510): GC_FOR_ALLOC freed 0K, 11% free 8555K/9607K, paused 27ms 
04-07 18:17:52.710: D/GC_badness(7510): 6: 360584844 

回答

1

为什么要重用图像?

不要给垃圾收集器一个机会去收集东西。基本上,您在本地定义的每个对象迟早都会被收集。

不要重复使用图像变量。在动画代码之前制作图像阵列和图像(最好是在创建活动期间加载)。 或考虑为您的图片使用ObjectPool

这是一个很好的SO answer关于如何遵守垃圾收集。

最后你可以找到大量有关如何避免垃圾收集的信息,当你谷歌例如。 “如何避免垃圾回收机器人”。

+0

我只是在示例代码中使用了单个图像。在应用程序中,我显示了许多图像。在高分辨率的屏幕上,它们很大(1.5MB),所以在前面加载很多时候是不可行的。我会快速浏览堆。我可以将它们分组加载,但如果每个加载因4或5个GC而导致100ms暂停,它们将无法跟上帧速率。我很想管理自己的位图,但早期的API中的BitmapFactory不支持它。编写我自己的jpg加载程序以避免BitmapFactory在每次调用时重新分配Bitmaps的缺点我不确定我可以做什么。 – 2012-04-08 02:46:09