1.流的概念:在Java中,流是从源到目的地的字节的有序序列。Java中有两种基本的流——输入流(InputStream)和输出流(OutputStream)。
根据流相对于程序的另一个端点的不同,分为节点流和过滤流。
(1)节点流:以特定源如磁盘文件、内存某区域或者线程之间的管道为端点的构造输入输出流,是一种基本的流。
(2)过滤流:以其他已经存在的流为端点构造的输入输出流。
根据流中的数据单位分为字节流和字符流。
(1)字节流:流中的数据是以8位字节为单位进行读写,以InputStream和OutputStream为基础类。
(2)字符流:流中的数据是以16为字符为单位进行读写,以Reader和Writer为基础类。
2.字节流
InputStream和OutputStream是字节流的两个顶层父类,提供了输入流类和输出流类的通用API。
2.1 输入字节流
InputStream基本方法:
(1)基本读方法;: int read() int read(byte[] b) int read(byte[] b,int off,int len)
(2) 关闭流:void close()
(3) 返回输入流中还有多少可读字节 int available()
(4) 跳过指定字节 long skip(long n)
(5) 回读数据 boolean markSupported() void Mark(int readlimt) void reset()
2.2 输出字符流
OutputStream基本方法:
(1)基本写方法:void write(int c) void write(byte[] b) void write(byte[] b,int off,int len)
(2) 关闭流:void close()
(3)q强制输出:void flush()
3.字符流:
Reader和Writer是字符流的顶层父类,字符流能够处理Unicode字符集中的所有字符。成员方法和字节流类似。
3.输入/输出流的套接
节点流在程序中不是很常见,一般通过过滤流将多个流套接起来,利用各个流的特性共同处理数据。例如下图:一个文件流为了为了提高效率,套接了缓存流,最后套接了数据流。
4、常见的输入输出流
4.1 文件流:文件流属于节点流,包括FileInputStream和FileOutputStream类以及Reader和Writer类。这些类都是对文件系统中的文件进行读写。文件流的创建是调用相应的构造方法,并经常以字符串形式的文件名或者一个File类的对象为参数,例如:
public FileInputStream(String name);
public FileInputStream(File file);
例子:使用文件流实现文件的复制。
(1)通过文件字节流实现:
package ch07; import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException; public class CopyBytes {
public static void main(String[] args) throws IOException {
//create two File class object
// File inputFile=new File("E:\\workspace\\tmpfile\\farrago.txt");
// File outputFile=new File("E:\\workspace\\tmpfile\\outagainb.txt"); //create file input/output byteStream
FileInputStream inputStream=new FileInputStream(new File("E:\\workspace\\tmpfile\\farrago.txt")); //attention:throw exception
FileOutputStream outputStream=new FileOutputStream(new File("E:\\workspace\\tmpfile\\outagainb.txt")); int c;
while((c=inputStream.read())!=-1){
outputStream.write(c);
System.out.println(c);
}
inputStream.close();
outputStream.close();
System.out.println("done! the file is in E:\\workspace\\tmpfile\\outagainb.txt"); }
}
(2)使用文件字符流实现
package ch07; import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException; public class Copy {
public static void main(String[] args) throws IOException{
//创建文件字符输入/输出流
FileReader in =new FileReader("E:\\workspace\\tmpfile\\farrago.doc");
FileWriter out=new FileWriter("E:\\workspace\\tmpfile\\outagainb.doc");
int c;
while((c=in.read())!=-1){
System.out.println(c);
out.write(c);
}
in.close();
out.close(); }
}
运行时需要在指定目录下存在farrago.doc,程序运行后会在相同的目录下生成outagainb.doc。里面内容和farrago.doc一样。
4.2 缓冲流
缓冲流BufferedInputStream和BufferedOutputStream类和BufferedReader和BufferedWriter类。这种流把数据从原始流成块读入或者积累到一个大数据快的时候在成批写出。BufferedOutputStream和BufferedWrite仅仅在缓冲区满或者调用flush()时候才把数据写到目的地。
构造方法:
public BufferedInputStream(InputStream in)
public BufferedInputStream(InputStream in,int size)
4.3 管道流
管道流可以实现线程之间的数据的直接传输。
(1)管道流模型:
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" alt="" />
PipedReader/PipedInputStream实现管道的输入流,而PipedWriter和PipedOutputStream实现输出流。
(2)管道流的创建:
管道流的创建是将管道输入流和管道输出流进行挂连。构造方法有下面两种方式:
PipedInputStream pInputStream=new PipedInputStream();
PipedOutputStream pOutputStream=new PipedOutputStream(pInputStream);
或者
PipedInputStream pInputStream=new PipedInputStream();
PipedOutputStream pOutputStream=new PipedOutputStream();
pInputStream.connect(pOutputStream);
pOutputStream.connect(pInputStream);
(3)管道流实例:单词处理程序。从文件中读入单词,将每个单词逆序,然后按照逆序排列,最后将逆序还原输出。
RhymingWords.java:包括main(),reverse()和sort()方法。在main()中调用reverse()和sort()对单词进行处理,然后处理结果显示
package ch07;
import java.io.BufferedReader;
import java.io.FileNotFoundException;
import java.io.FileReader;
import java.io.IOException;
import java.io.PipedReader;
import java.io.PipedWriter;
import java.io.PrintWriter;
import java.io.Reader; import ch07.ReverseThread;
import ch07.SortThread;
public class RhymingWords {
public static void main(String[] args) throws IOException {
String pathname="E:\\workspace\\tmpfile\\words.txt";
FileReader words=new FileReader(pathname);
//进行单词的逆序 排序在逆序还原
Reader rhymedWords=reverse(sort(reverse(words)));
//将处理后的单词列表输出显示
BufferedReader in=new BufferedReader(rhymedWords);
String input;
while((input=in.readLine())!=null)
System.out.println(input);
in.close();
}
//创建管道,创建并且启动单词逆序线程
public static Reader reverse(Reader source) throws IOException{
BufferedReader in =new BufferedReader(source);
PipedWriter pipeOut=new PipedWriter();
PipedReader pipeIn=new PipedReader(pipeOut);
PrintWriter out=new PrintWriter(pipeOut);
new ReverseThread(out, in).start();
return pipeIn;
}
public static Reader sort(Reader source) throws IOException{
BufferedReader in=new BufferedReader(source);
PipedWriter pipeOut=new PipedWriter();
PipedReader pipeIn=new PipedReader(pipeOut);
PrintWriter out=new PrintWriter(pipeOut);
new SortThread(out, in).start();
return pipeIn;
}
}
ReverseThread.java:执行逆序的线程类
package ch07; import java.io.BufferedReader;
import java.io.IOException;
import java.io.PrintWriter; public class ReverseThread extends Thread {
private PrintWriter out=null;
private BufferedReader in=null;
public ReverseThread(PrintWriter out,BufferedReader in){
this.out=out;
this.in=in;
}
//逆序线程的线程体
public void run(){
if(out!=null && in!=null){
try{
String input;
while((input=in.readLine())!=null){
out.println(reverseIt(input));
out.flush();
}
out.close();
}catch (IOException e) {
System.out.println("ReverseThread run "+e);
// TODO: handle exception
}
}
}
//实现单词逆序算法
private String reverseIt(String rawWord){
int i,len=rawWord.length();
StringBuffer dest=new StringBuffer(len);
for(i=(len-1);i>=0;i--){
dest.append(rawWord.charAt(i));
}
return dest.toString();
}
}
SortThread.java:执行排序的线程类
package ch07; import java.io.BufferedReader;
import java.io.IOException;
import java.io.PrintWriter; public class SortThread extends Thread{
private PrintWriter out=null;
private BufferedReader in=null;
public SortThread(PrintWriter out,BufferedReader in){
this.in=in;
this.out=out;
}
//排序线程的线程体
public void run(){
int MAXWORDS=50;
if(out!=null &&in!=null){
try{
String[] listOfWords=new String[MAXWORDS];
int numWords=0;
while((listOfWords[numWords]=in.readLine())!=null){
numWords++;
}
quickSort(listOfWords,0,numWords-1);
for(int i=0;i<numWords;i++)
out.println(listOfWords[i]);
out.close();
}catch (IOException e) {
// TODO: handle exception
System.out.println("SortThread run:"+e); }
}
}
//实现快速排序
private static void quickSort(String[] a,int lo0,int hi0){
int lo=lo0;
int hi=hi0;
if(lo>=hi)
return;
String mid=a[(lo+hi)/2];
while(lo<hi){
while(lo<hi&&a[lo].compareTo(mid)<0)
lo++;
while(lo<hi&&a[hi].compareTo(mid)>0)
hi--;
if(lo<hi){
String temp=a[lo];
a[lo]=a[hi];
a[hi]=temp;
lo++;
hi--; }
}
if(hi<lo){
int temp=hi;
hi=lo;
lo=temp;
}
quickSort(a, lo0, lo);
quickSort(a, lo==lo0?lo+1:lo, hi0); } }
在本例中words.txt包含的单词为:
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" alt="" />
程序运行结果为:
aaarticlea/png;base64,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" alt="" />
实现押韵处理。
在该程序中数据流的方向如下:
aaarticlea/png;base64,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" 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