【Java IO】FileInputStream 和 FileOutputStream

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简介

FileInputStream和FileOutputStream都是用来处理二进制数据源磁盘文件的流的。他们分别派生自顶层抽象类InputStream和OutputStream

FileInputStream

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" 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作用：用于从文件系统中的某个文件中获得输入字节，处理二进制原始字节文件，如exe 图片等。
1、构造关联的文件可以使用 String 描述，也可以使用File ，FileDescriptor 对象表示2、read 是可能阻塞当前线程的。当read等其他操作的字节数大于此对象直接可用（available）的字节数时会阻塞。
3、read到文件末尾返回 -1 构造函数
FileInputStream(File file)
通过打开一个到实际文件的连接来创建一个 FileInputStream，该文件通过文件系统中的 File 对象 file 指定。
FileInputStream(FileDescriptor fdObj)
通过使用文件描述符 fdObj 创建一个 FileInputStream，该文件描述符表示到文件系统中某个实际文件的现有连接。
FileInputStream(String name)
通过打开一个到实际文件的连接来创建一个 FileInputStream，该文件通过文件系统中的路径名 name 指定。 API
int available()
返回下一次对此输入流调用的方法可以不受阻塞地从此输入流读取（或跳过）的估计剩余字节数。
若返回5，那么调用 read(b, 0, 5) 是不会阻塞线程的，因为已经明确有5个字节的数据直接可用。 void close()
关闭此文件输入流并释放与此流有关的所有系统资源。 int read()
从此输入流中读取一个数据字节。
int read(byte[] b)
从此输入流中将最多 b.length 个字节的数据读入一个 byte 数组中。
int read(byte[] b, int off, int len)
从此输入流中将最多 len 个字节的数据读入 byte 数组b中。
off表示第一个字节数据存储在b[off]中。第二个存储在b[off+1]...
len是最多读取的字节数long skip(long n)
从输入流中跳过并丢弃 n 个字节的数据。
protected void finalize()
确保在不再引用文件输入流时调用其 close 方法。
FileChannel getChannel()
返回与此文件输入流有关的唯一 FileChannel 对象。
FileDescriptor getFD()
返回表示到文件系统中实际文件的连接的 FileDescriptor 对象，该文件系统正被此 FileInputStream 使用。

FileOutputStream

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" 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作用：用于将字节（二进制）数据写入关联的文件中。1、构造时关联的文件可以使用 String 描述路径，或者使用File ，FileDescripter类对象。2、append 为true 时，表示要对文件进行追加输入操作，则将字节写入文件末尾处，而不是写入文件开始处。3、如果文件不存在，则会先创建文件。表示追加，append为true时，也是如此。当append为false，且文件已经存在，则是本次读写覆盖文件原来的内容。构造函数
FileOutputStream(File file)
创建一个向指定 File 对象表示的文件中写入数据的文件输出流。
FileOutputStream(File file, boolean append)FileOutputStream(FileDescriptor fdObj)
创建一个向指定文件描述符处写入数据的输出文件流，该文件描述符表示一个到文件系统中的某个实际文件的现有连接。
FileOutputStream(String name)
创建一个向具有指定名称的文件中写入数据的输出文件流。
FileOutputStream(String name, boolean append)
创建一个向具有指定 name 的文件中写入数据的输出文件流。API
void close()
关闭此文件输出流并释放与此流有关的所有系统资源。
void flush()
刷新输出的数据在内存中的缓冲，强制数据写出到底层文件中。执行close时，会自动flush。
void write(byte[] b)
将 b.length 个字节从指定 byte 数组写入此文件输出流中。
void write(byte[] b, int off, int len)
将指定 byte 数组中从偏移量 off 开始的 len 个字节写入此文件输出流。数据流向： b ---->FileOutputStream关联的文件
void write(int b)
将指定字节写入此文件输出流。protected void finalize()
清理到文件的连接，并确保在不再引用此文件输出流时调用此流的 close 方法。
FileChannel getChannel()
返回与此文件输出流有关的唯一 FileChannel 对象。
FileDescriptor getFD()
返回与此流有关的文件描述符。

代码实例

下面是一个通过FileInputStream 和 FileOutputStream 拷贝exe可执行文件的例子。

import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream;public class Main
{ public static void main(String[] args)
{ InputStream input = null ;
OutputStream out = null; try {
input = new FileInputStream(new File("D:\\2.exe"));
out = new FileOutputStream(new File("D:\\2_copy.exe"),false); byte[] buff = new byte[1024];
int len; //保存read实际读取的字节数。 while(-1!=(len = input.read(buff, 0, buff.length)))
{
out.write(buff, 0, len);
} out.flush(); //强制刷新输出流，使缓冲数据写入硬盘 System.out.println("copy success!"); } catch (FileNotFoundException e) { e.printStackTrace();
System.out.println("文件打开失败");
} catch (IOException e) { e.printStackTrace();
System.out.println("文件读写失败");
} finally
{ if(null!=out)
{
try {
out.close();
out = null;
} catch (IOException e) { System.out.println("输出文件关闭失败");
}
} if(input!=null)
{
try {
input.close();
input = null;
} catch (IOException e) { System.out.println("输入文件关闭失败");
}
} } }}