阅读变数大阵列的Android最快的方法 [英] Android fastest way of reading big arrays of variables
问题描述
在我的应用程序需要找到加载整数和浮动变量的大阵列的更快的方法。什么AVE
In my application I need to find a faster way of loading big arrays of Integer and Float variables. What ave
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创建直接使用Java code阵列 - 这没有工作，因为我的应用程序使用的阵列是非常大的，200 000多个浮点值，导致
的java $ C $ ç过大错误，我找不到这方面的任何解决办法。
Creating arrays directly using Java Code - This didn't work, because arrays used by my application are really big, 200 000+ float values, which cause
java code too largeerror and I couldn't find any workaround for this.
尝试使用项目导入这些阵列 XML 这并没有太多工作，因为文件的大小变得非常大，我甚至无法建立。
Tried importing these arrays in project using xml which didn't work too, because file size is getting really big and I can't even build.
这在资产文件夹中的工作，到目前为止，我已经添加了 TXT 文件的东西，阅读他们使用的InputStream ，解析它们作为花车/整数和动态创建数组，但这是太慢了。
The thing which worked so far, I've added txt files in assets folder, read them using InputStream, parse them as floats / integers and create arrays dynamically, but this is too slow.
，我有这些大阵列的原因是，因为我的项目使用Vuforia用于显示3D模型，这需要重新present他们作为花车/整数数组（顶点，textcoords，法线指数），但装12款车型正在太多的时间。
The reason which I have these big arrays is, because my project uses Vuforia for showing 3D Models, which needs to represent them as arrays of floats / integers (vertices,textcoords,normals,indices), but loading 12 Models is taking too much time.
我很想得到一些意见/建议我怎么能加快加载过程。
I would love to get some advices / suggestions how can I speed up the loading process.
在此先感谢！
推荐答案
我没有基准这一点，但（可能）最快的简单的方式来阅读大量的整数和浮点值会使用 DataInputStream以和它的各种的readXXX（）方法。
I have not benchmarked this, but (probably) the fastest simple way to read large numbers of integer and floating point values would be to use a DataInputStream and its various readXxx() methods.
如果该数据是同质的，那么你也许可以使用获得更快的传输 FileChannel ，的ByteBuffer 键，（说） DoubleBuffer 。此处描述该方法：<一href=\"http://stackoverflow.com/questions/22249483/write-read-float-array-in-java-fast-way\">write/read漂浮在java中快速的方式阵。 （荣誉去@greenapps ...）然而，这将是棘手的，要如果数据是异质工作;即不同原始类型的混合。
If the data is homogeneous, then you can probably get faster transfer using FileChannel, ByteBuffer and (say) DoubleBuffer. This method is described here: "write/read float array in java fast way". (Kudos goes to @greenapps ...) However, it would be tricky to get that to work if the data is heterogeneous; i.e. a mixture of different primitive types.
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