我想以非常快的方式读取大文件。我这样使用MappedByteBuffer
:
String line = "";
try (RandomAccessFile file2 = new RandomAccessFile(new File(filename), "r"))
{
FileChannel fileChannel = file2.getChannel();
MappedByteBuffer buffer = fileChannel.map(FileChannel.MapMode.READ_ONLY, 0, fileChannel.size());
for (int i = 0; i < buffer.limit(); i++)
{
char a = (char) buffer.get();
if (a == '\n'){
System.out.println(line);
line = "";
}else{
line += Character.toString(c);
}
}
这不能正常工作。它正在更改文件的内容并打印更改的内容。有没有更好的方法可以使用MappedByteBuffer读取文件的一行?
最终,我想分割线并提取某些内容(由于其csv),所以这只是一个重现问题的最小示例。
答案 0 :(得分:0)
我使用填充有随机字符串的21 GB文件进行了一些测试,每行的长度为20-40个字符。 似乎内置的BufferedReader仍然是最快的方法。
File f = new File("sfs");
try(Stream<String> lines = Files.lines(f.toPath(), StandardCharsets.UTF_8)){
lines.forEach(line -> System.out.println(line));
} catch (IOException e) {}
将行读取到流中可确保您根据需要读取行,而不是一次读取整个文件。
要进一步提高速度,您可以适当增加BufferedReader的缓冲区大小。在我的测试中,启动器在大约1000万行的性能上超过了正常的缓冲区大小。
CharsetDecoder decoder = StandardCharsets.UTF_8.newDecoder();
int size = 8192 * 16;
try (BufferedReader br = new BufferedReader(new InputStreamReader(newInputStream(f.toPath()), decoder), size)) {
br.lines().limit(LINES_TO_READ).forEach(s -> {
});
} catch (IOException e) {
e.printStackTrace();
}
我用于测试的代码:
private static long LINES_TO_READ = 10_000_000;
private static void java8Stream(File f) {
long startTime = System.nanoTime();
try (Stream<String> lines = Files.lines(f.toPath(), StandardCharsets.UTF_8).limit(LINES_TO_READ)) {
lines.forEach(line -> {
});
} catch (IOException e) {
e.printStackTrace();
}
long endTime = System.nanoTime();
System.out.println("no buffer took " + (endTime - startTime) + " nanoseconds");
}
private static void streamWithLargeBuffer(File f) {
long startTime = System.nanoTime();
CharsetDecoder decoder = StandardCharsets.UTF_8.newDecoder();
int size = 8192 * 16;
try (BufferedReader br = new BufferedReader(new InputStreamReader(newInputStream(f.toPath()), decoder), size)) {
br.lines().limit(LINES_TO_READ).forEach(s -> {
});
} catch (IOException e) {
e.printStackTrace();
}
long endTime = System.nanoTime();
System.out.println("using large buffer took " + (endTime - startTime) + " nanoseconds");
}
private static void memoryMappedFile(File f) {
CharsetDecoder decoder = StandardCharsets.UTF_8.newDecoder();
long linesReadCount = 0;
String line = "";
long startTime = System.nanoTime();
try (RandomAccessFile file2 = new RandomAccessFile(f, "r")) {
FileChannel fileChannel = file2.getChannel();
MappedByteBuffer buffer = fileChannel.map(FileChannel.MapMode.READ_ONLY, 0L, Integer.MAX_VALUE - 10_000_000);
CharBuffer decodedBuffer = decoder.decode(buffer);
for (int i = 0; i < decodedBuffer.limit(); i++) {
char a = decodedBuffer.get();
if (a == '\n') {
line = "";
} else {
line += Character.toString(a);
}
if (linesReadCount++ >= LINES_TO_READ){
break;
}
}
} catch (FileNotFoundException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
long endTime = System.nanoTime();
System.out.println("using memory mapped files took " + (endTime - startTime) + " nanoseconds");
}
顺便说一句,我注意到FileChannel.map throws an exception如果映射文件大于Integer.MAX_VALUE,这使得该方法不适合读取非常大的文件。