我在嵌入式Linux设备上使用Java 1.5,并希望读取具有2MB int值的二进制文件.(现在4字节Big Endian,但我可以决定,格式)
使用DataInputStream
通过BufferedInputStream
使用dis.readInt()
),这500万个电话需要17S阅读,但文件中读取到一个大的字节的缓冲区需要5秒.
我怎样才能更快地将该文件读入一个巨大的int []?
读取过程不应超过512 kb.
以下使用的代码nio
并不比java io的readInt()方法快.
// asume I already know that there are now 500 000 int to read:
int numInts = 500000;
// here I want the result into
int[] result = new int[numInts];
int cnt = 0;
RandomAccessFile aFile = new RandomAccessFile("filename", "r");
FileChannel inChannel = aFile.getChannel();
ByteBuffer buf = ByteBuffer.allocate(512 * 1024);
int bytesRead = inChannel.read(buf); //read into buffer.
while (bytesRead != -1) {
buf.flip(); //make buffer ready for get()
while(buf.hasRemaining() && cnt < numInts){
// probably slow here since called 500 000 times
result[cnt] = buf.getInt();
cnt++;
}
buf.clear(); //make buffer ready for writing
bytesRead = inChannel.read(buf);
}
aFile.close();
inChannel.close();
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更新:评估答案:
在PC上,使用IntBuffer方法的Memory Map是我设置中最快的.
在嵌入式设备上,没有jit,java.io DataiInputStream.readInt()有点快(17s,与使用IntBuffer的MemMap相比,20s)
最后的结论:通过算法更改可以更轻松地实现显着的加速.(初始化文件较小)
我不知道这是否会比 Alexander 提供的更快,但您可以尝试映射文件。
try (FileInputStream stream = new FileInputStream(filename)) {
FileChannel inChannel = stream.getChannel();
ByteBuffer buffer = inChannel.map(FileChannel.MapMode.READ_ONLY, 0, inChannel.size());
int[] result = new int[500000];
buffer.order( ByteOrder.BIG_ENDIAN );
IntBuffer intBuffer = buffer.asIntBuffer( );
intBuffer.get(result);
}
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