-1-4 java io java流 常用流 分类 File类 文件 字节流 字符流 缓冲流 内存操作流 合并序列流

 
File类
•文件和目录路径名的抽象表示形式
构造方法
•public File(String pathname)
•public File(String parent,Stringchild)
•public File(File parent,Stringchild)
创建功能
•publicboolean createNewFile()
•publicboolean mkdir()
•publicboolean mkdirs()
删除功能
•publicbooleandelete()
重命名功能
•publicboolean renameTo(Filedest)
判断功能
•publicboolean isDirectory()
•publicboolean isFile()
•publicbooleanexists()
•publicboolean canRead()
•publicboolean canWrite()
•publicboolean isHidden()
 
基本获取功能
•public String getAbsolutePath()
•public String getPath()
•public String getName()
•public long length()
•public long lastModified()
高级获取功能
•public String[] list()
•public File[] listFiles()
 
 
 
IO流用来处理设备之间的数据传输
Java对数据的操作是通过流的方式
Java用于操作流的对象都在IO包中
 
按照数据流向
•输入流  读入数据
•输出流  写出数据
按照数据类型
•字节流
•字符流
 
字节流的抽象基类:
•InputStream ,OutputStream。
字符流的抽象基类:
•Reader , Writer。
注:由这四个类派生出来的子类名称都是以其父类名作为子类名的后缀。
•如:InputStream的子类FileInputStream。
•如:Reader的子类FileReader。
 
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alt="" />
 
 
 
 
OutputStream
•FileOutputStream
FileOutputStream的构造方法
FileOutputStream(File file)
FileOutputStream(String name)
写入数据
public void write(int b)
public void write(byte[] b)
public void write(byte[] b,int off,int len)
 
 
InputStream
•FileInputStream
            FileInputStream的构造方法
•FileInputStream(File file)
•FileInputStream(String name)
             FileInputStream的成员方法
•public int read()
•public int read(byte[] b)
字节缓冲输出流
•BufferedOutputStream
字节缓冲输入流
•BufferedInputStream
 
转换流
转换流的由来
•字符流与字节流之间的桥梁
•方便了字符流与字节流之间的操作
OutputStreamWriter 字符输出流
•public OutputStreamWriter(OutputStream out)
•public OutputStreamWriter(OutputStream out,String charsetName)
InputStreamReader 字符输入流
•public InputStreamReader(InputStream in)
•public InputStreamReader(InputStream in,String charsetName)
 
OutputStreamWriter写数据方法
•public void write(int c)
•public void write(char[] cbuf)
•public void write(char[] cbuf,int off,int len)
•public void write(String str)
•public void write(String str,int off,int len)
 
OutputStreamWriter读数据方法
•public int read()
•public int read(char[] cbuf)
 
 
字符流
FileWriter
FileReader
 
创建流对象,建立数据存放文件
•FileWriter fw = new FileWriter(“Test.txt”);
调用流对象的写入方法,将数据写入流
•fw.write(“text”);
关闭流资源,并将流中的数据清空到文件中。
•fw.close();
             FileWriter fw = null;
try{
fw = new FileWriter("Test.txt");
fw.write("text");
}
catch (IOException e){
System.out.println(e.toString());
}
finally{
If(fw!=null)
try{
fw.close();
}
catch (IOException e){
System.out.println(e.toString());
}
}
建立一个流对象,将已存在的一个文件加载进流。
•FileReader fr = newFileReader(“Test.txt”);
创建一个临时存放数据的数组。
•char[] ch = new char[1024];
调用流对象的读取方法将流中的数据读入到数组中。
•fr.read(ch);
      FileReader fr = null;
try {
fr = new FileReader("c:\\test.txt");
char[] buf = new char[1024];
int len = 0;
while ((len = fr.read(buf)) != -1) {
System.out.println(new String(buf, 0, len));
}
} catch (IOException e) {
System.out.println("read-Exception :" + e.toString());
} finally {
if (fr != null) {
try {
fr.close();
} catch (IOException e) {
System.out.println("close-Exception :" + e.toString());
}
}
}
字符流缓冲
BufferedWriter
BufferedReader
特殊功能
•BufferedWriter
•void newLine()
•BufferedReader
•String readLine()
 
操作基本数据类型
•DataInputStream
•DataOutputStream
 
内存操作流
操作字节数组
•ByteArrayInputStream
•ByteArrayOutputStream
操作字符数组
•CharArrayReader
•CharArrayWrite
操作字符串
•StringReader
•StringWriter
 
 
 
打印流
PrintWriter
PrintStream
 
标准输入输出流
System类中的字段:in,out。
它们各代表了系统标准的输入和输出设备。
默认输入设备是键盘,输出设备是显示器。
System.in的类型是InputStream.
System.out的类型是PrintStream是OutputStream的子类FilterOutputStream 的子类.
 
随机访问流
RandomAccessFile概述
•RandomAccessFile类不属于流,是Object类的子类。但它融合了InputStream和OutputStream的功能。支持对随机访问文件的读取和写入。
 
合并流
SequenceInputStream概述
•SequenceInputStream类可以将多个输入流串流在一起,合并为一个输入流,因此,该流也被称为合并流。
SequenceInputStream的构造方法
•SequenceInputStream(InputStream s1, InputStream s2) 
•SequenceInputStream(Enumeration<? extends InputStream> e)
可以用于多文件的合并
 
序列化
序列化流
•ObjectOutputStream
反序列化流
•ObjectInputStream
 
 
 
编码
字符流的出现为了方便操作字符。
更重要是的加入了编码转换。
通过子类转换流来完成。
•InputStreamReader
•OutputStreamWriter
在两个对象进行构造的时候可以加入字符集。
 
计算机只能识别二进制数据,早期由来是电信号。
为了方便应用计算机,让它可以识别各个国家的文字。
就将各个国家的文字用数字来表示,并一一对应,形成一张表。
这就是编码表。
 
编码:字符串->字节数组
解码:字节数组->字符串
 
 
 
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