【发布时间】:2012-07-16 06:54:06
【问题描述】:
我正在学习 Java 中的套接字编程。我见过一些使用DataOutputStream 和一些使用ObjectOutputStream 的客户端/服务器应用程序示例。
这两者有什么区别?
有性能差异吗?
【问题讨论】:
-
阅读 ObjectOutputStream 以获取详细的示例说明。
我正在学习 Java 中的套接字编程。我见过一些使用DataOutputStream 和一些使用ObjectOutputStream 的客户端/服务器应用程序示例。
这两者有什么区别?
有性能差异吗?
【问题讨论】:
DataInput/OutputStream 通常表现更好,因为它更简单。它只能读/写原始类型和字符串。
ObjectInput/OutputStream 可以读/写任何对象类型以及原语。如果您想发送复杂的数据,它的效率较低,但更易于使用。
我会假设 Object*Stream 是最佳选择,直到您知道它的性能是一个问题。
【讨论】:
这可能对几年后仍在寻找答案的人有用...根据我在最近的 JVM (1.8_51) 上的测试,ObjectOutput/InputStream 的读/写速度几乎比DataOutput/InputStream 快 2 倍一个巨大的 double 数组!
以下是写入 1000 万个项目数组的结果(对于 100 万个结果基本相同)。为了完整起见,我还包括了文本格式(BufferedWriter/Reader):
TestObjectStream written 10000000 items, took: 409ms, or 24449.8778 items/ms, filesize 80390629b
TestDataStream written 10000000 items, took: 727ms, or 13755.1582 items/ms, filesize 80000000b
TestBufferedWriter written 10000000 items, took: 13700ms, or 729.9270 items/ms, filesize 224486395b
阅读:
TestObjectStream read 10000000 items, took: 250ms, or 40000.0000 items/ms, filesize 80390629b
TestDataStream read 10000000 items, took: 424ms, or 23584.9057 items/ms, filesize 80000000b
TestBufferedWriter read 10000000 items, took: 6298ms, or 1587.8057 items/ms, filesize 224486395b
我相信 Oracle 在最近的 Java 版本中已经对使用 ObjectStreams 的 JVM 进行了大量优化,因为这是写入/读取数据(包括序列化)的最常见方式,因此位于 Java 性能关键路径上。
所以看起来今天没有太多理由再使用DataStreams。 “不要试图智取JVM”,用最直接的方式,就是ObjectStreams :)
这是测试的代码:
class Generator {
private int seed = 1235436537;
double generate(int i) {
seed = (seed + 1235436537) % 936855463;
return seed / (i + 1.) / 524323.;
}
}
class Data {
public final double[] array;
public Data(final double[] array) {
this.array = array;
}
}
class TestObjectStream {
public void write(File dest, Data data) {
try (ObjectOutputStream out = new ObjectOutputStream(new BufferedOutputStream(new FileOutputStream(dest)))) {
for (int i = 0; i < data.array.length; i++) {
out.writeDouble(data.array[i]);
}
} catch (IOException e) {
throw new RuntimeIoException(e);
}
}
public void read(File dest, Data data) {
try (ObjectInputStream in = new ObjectInputStream(new BufferedInputStream(new FileInputStream(dest)))) {
for (int i = 0; i < data.array.length; i++) {
data.array[i] = in.readDouble();
}
} catch (IOException e) {
throw new RuntimeIoException(e);
}
}
}
class TestDataStream {
public void write(File dest, Data data) {
try (DataOutputStream out = new DataOutputStream(new BufferedOutputStream(new FileOutputStream(dest)))) {
for (int i = 0; i < data.array.length; i++) {
out.writeDouble(data.array[i]);
}
} catch (IOException e) {
throw new RuntimeIoException(e);
}
}
public void read(File dest, Data data) {
try (DataInputStream in = new DataInputStream(new BufferedInputStream(new FileInputStream(dest)))) {
for (int i = 0; i < data.array.length; i++) {
data.array[i] = in.readDouble();
}
} catch (IOException e) {
throw new RuntimeIoException(e);
}
}
}
class TestBufferedWriter {
public void write(File dest, Data data) {
try (BufferedWriter out = new BufferedWriter(new FileWriter(dest))) {
for (int i = 0; i < data.array.length; i++) {
out.write(Double.toString(data.array[i]));
out.newLine();
}
} catch (IOException e) {
throw new RuntimeIoException(e);
}
}
public void read(File dest, Data data) {
try (BufferedReader in = new BufferedReader(new FileReader(dest))) {
String line = in.readLine();
int i = 0;
while (line != null) {
if(!line.isEmpty()) {
data.array[i++] = Double.parseDouble(line);
}
line = in.readLine();
}
} catch (IOException e) {
throw new RuntimeIoException(e);
}
}
}
@Test
public void testWrite() throws Exception {
int N = 10000000;
double[] array = new double[N];
Generator gen = new Generator();
for (int i = 0; i < array.length; i++) {
array[i] = gen.generate(i);
}
Data data = new Data(array);
Map<Class, BiConsumer<File, Data>> subjects = new LinkedHashMap<>();
subjects.put(TestDataStream.class, new TestDataStream()::write);
subjects.put(TestObjectStream.class, new TestObjectStream()::write);
subjects.put(TestBufferedWriter.class, new TestBufferedWriter()::write);
subjects.forEach((aClass, fileDataBiConsumer) -> {
File f = new File("test." + aClass.getName());
long start = System.nanoTime();
fileDataBiConsumer.accept(f, data);
long took = TimeUnit.NANOSECONDS.toMillis(System.nanoTime() - start);
System.out.println(aClass.getSimpleName() + " written " + N + " items, took: " + took + "ms, or " + String.format("%.4f", (N / (double)took)) + " items/ms, filesize " + f.length() + "b");
});
}
@Test
public void testRead() throws Exception {
int N = 10000000;
double[] array = new double[N];
Data data = new Data(array);
Map<Class, BiConsumer<File, Data>> subjects = new LinkedHashMap<>();
subjects.put(TestDataStream.class, new TestDataStream()::read);
subjects.put(TestObjectStream.class, new TestObjectStream()::read);
subjects.put(TestBufferedWriter.class, new TestBufferedWriter()::read);
subjects.forEach((aClass, fileDataBiConsumer) -> {
File f = new File("test." + aClass.getName());
long start = System.nanoTime();
fileDataBiConsumer.accept(f, data);
long took = TimeUnit.NANOSECONDS.toMillis(System.nanoTime() - start);
System.out.println(aClass.getSimpleName() + " read " + N + " items, took: " + took + "ms, or " + String.format("%.4f", (N / (double)took)) + " items/ms, filesize " + f.length() + "b");
});
}
【讨论】:
DataOutputStream 和ObjectOutputStream:在处理基本类型时,除了ObjectOutputStream 创建的标头之外没有区别。
使用ObjectOutputStream 类,实现Serializable 的类的实例可以写入输出流,并且可以使用ObjectInputStream 读回。
DataOutputStream 只能处理基本类型。
【讨论】:
只有实现java.io.Serializable 接口的对象才能使用ObjectOutputStream 写入流。原始数据类型也可以使用DataOutput 中的适当方法写入流。也可以使用 writeUTF 方法写入字符串。但另一方面,DataInputStream 允许应用程序以可移植的方式将原始 Java 数据类型写入输出流。
【讨论】:
ObjectOutputStream。
Only objects that support the java.io.Serializable interface can be written to streams 请从我提供的上述 javadocs 链接中查看这一行。类描述说实现了Serializable接口就可以写,我没提过原始类型不能写到这个流中
Objects 可以写入ObjectOutputStream。 (这可能就是为什么你有 2 票反对)