九：File类，文件的操作

File的常用方法：

aaarticlea/png;base64,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" alt="" />

FilenameFilter:文件过滤器

aaarticlea/png;base64,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" alt="" />

序列化和反序列化：

多台机器远程通信，将机器中A的某个java对象转换为字符序列进行传输的过程叫做序列化。序列化还可以将一个对象保存到硬盘中，然后反序列化将对象读取到内存。

• 方式 ：一个对象如果支持序列化，需要实现Serializable接口
• 序列化到硬盘：ObjectOutputStream、ObjectInputStream
• transient关键字：如果不希望某个属性被序列化，可用transient声明

关于序列化版本号：

在一个类实现Seriaizable接口后，系统分配一个序列化版本号，但这个类的源码被修改后，
系统重新分配一个版本号。保证序列化和反序列化一致。例如将一个对象序列化到硬盘之后，
修改这个对象所对应类的源码，在进行反序列化是就会报出InvalidClassException异常。
如果手动编写序列化版本号之后，就不会出现这个异常了。

Code：

• test() ：使用File类创建文件和文件夹
• test2()：使用File类重命名、删除文
• test3()：File类中关于判断的方法
• test4()：File类的其他常用方法
• FileTest：统计D盘目录下的以txt结尾的文件名，并打印
• FileTest1：FilenameFilter接口，实现文件名过滤功能
• FileTest2：从键盘接收一个路径，将这个路径下的所有文件和文件夹的名字按层级打印
• SeriaDemo：ObjectInputStream写入对象到硬盘中，ObjectInputStream从硬盘读取对象到内存

package io;

import java.io.File;
import java.io.IOException;
import java.text.SimpleDateFormat;
import java.util.Date;

import org.junit.Test;
/**
 *  File类
 */
public class FileDemo {

   //使用File类创建文件和文件夹
   @Test
   public void test() throws IOException{
       File file1 = new File("D:\\hello.txt");
       //创建文件,成功则返回true，否则返回true
/*       System.out.println(file1.createNewFile());
       //创建目录(文件夹)
       file1 = new File("D:\\new");
       System.out.println(file1.mkdir());
       //创建多级目录
       file1 = new File("D:\\monkey\\1024");
       System.out.println(file1.mkdirs());*/
       //创建的是1024.txt文件夹，而不是.txt文件
       file1 = new File("D:\\mon\\10241111.txt");
//       file1.createNewFile();如果没有createFile，则就是创建目录
       System.out.println(file1.mkdirs());
       System.out.println(file1.isDirectory());
       System.out.println(file1.isFile());
   }
   /*
    * 使用File类重命名、删除文件
    public boolean renameTo(File dest):把文件重命名为指定的文件路径
    public boolean delete():删除文件或者文件夹
    * */
   @Test
   public void test2() throws IOException{
       //文件重命名
/*       File oldFile = new File("D:\\hello.txt");
       File newFile = new File("D:\\world.txt");
       oldFile.renameTo(newFile);*/

       //更换路径的文件重命名,如果两个文件的路径不相同，则会剪切被修改的文件，重命名放到新路径里面
       File oldf1 = new File("D:\\world.txt");
       File newf1 = new File("D:\\monkey\\java.txt");
       oldf1.renameTo(newf1);

       //删除文件,不会放回回收站
       File del1 = new File("D:\\monkey");
       //如果文件夹下有其他文件则不会删除,如果删除不会放回回收站
       System.out.println(del1.delete());
   }
   //File类中关于判断的方法
   @Test
   public void Test3() throws IOException{
/*       File file1 = new File("D://monkey");
       System.out.println(file1.isDirectory());
       System.out.println(file1.isFile());*/

/*       File file2 = new File("D:\\new.txt");
       file2.createNewFile();
       System.out.println(file2.isDirectory());
       System.out.println(file2.isFile());
       */
       //判断文件是否存在
/*       System.out.println(file2.exists());*/

       File file3 = new File("D:\\新建文件");
//       file3.mkdirs();如果没有这个方法，则不创建目录
       //判断文件是否隐藏
       System.out.println(file3.isHidden());
       System.out.println(file3.exists());
   }

   //File类的其他常用方法
   @Test
   public void test4(){
       //获取绝对路径
       File f1 = new File("d:\\1024.txt");
       System.out.println(f1.getAbsolutePath());
       //查看文件的大小，单位是字节
       System.out.println(f1.length());
       //最后修改时间
       Date date = new Date(f1.lastModified());
       SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd hh:mm:ss");
       System.out.println(sdf.format(date));
       //获取目录下同级文件或文件夹的名称并输出
       File f2 = new File("D:\\");
       String[] nameArray = f2.list();System.out.println("目录：");
       for(String n : nameArray){
           System.out.println(n);
       }
       //获取目录下同级文件或文件夹的File对象
       File[] fileArray = f2.listFiles();
       //打印出文件的绝对路径
       for(File f : fileArray){
           System.out.println(f);
       }
   }
}

package io;

import java.io.File;

//test1:统计D盘目录下的以txt结尾的文件名，并打印
public class FileTest {
      public static void main(String[] args) {
      //先拿到文件名
      //判断文件名是否以.txt结尾
      //如果是，打印
      File file = new File("D:\\");
      File[] arrFile = file.listFiles();
      int count = 0;
      String end = ".txt";
      for(File f : arrFile ){
         String name = f.toString();
         //扫描txt文件，且是文件而不是目录
         if(name.endsWith(end)&&f.isFile()){
             count++;
             System.out.println(name);
         }
      }
      System.out.println("以.txt结尾的文件共有"+count+"个");
    }
}

package io;

import java.io.File;
import java.io.FilenameFilter;

//FilenameFilter接口，实现文件名过滤功能
public class FileTest1 {
    public static void main(String[] args) {
    File file = new File("D:\\");

    String[] nameArray = file.list(new FilenameFilter() {

        @Override
        public boolean accept(File dir, String name) {
            File f1 = new File(dir,name);
            //筛选条件
            return f1.isFile() && f1.getName().endsWith(".txt");
        }
    });
        System.out.println("以.txt结尾的文件个数是："+nameArray.length+"个");
        for(String s : nameArray){
            System.out.println(s);
        }
   }

}

package io;

import java.io.File;
import java.util.Scanner;

/**
 *  从键盘接收一个路径，将这个路径下的所有文件和文件夹的名字按层级打印
 *
 *  1 键盘录入文件名路径
 *  2 控制count为缩进，使用递归打印文件夹下面的文件夹
 */
public class FileTest2 {
    static int count = 0;
   public static void main(String[] args) {
     File file = getFile();
     getFileNames(file);
   }

    private static File getFile() {
    System.out.println("请输入路径：");
    Scanner sc = new Scanner(System.in);

    while(true){
    String input = sc.nextLine();
    File file = new File(input);
    if(!file.exists()){
        System.out.println("文件路径错误或不存在！请重新输入：");
    }else if(file.isFile()){
        System.out.println("您输入的是文件，请输入一个文件夹的路径：");
    }else{
        sc.close();
        return file;
    }
    }
}

    private static void getFileNames(File file) {
        File[] fileArr = file.listFiles();
        for(int i =0; i<fileArr.length ; i++){
            //打印缩进
             for(int j = 0 ; j<count ; j++){
                 System.out.print("\t");
             }

             //打印文件或者文件夹的名字
             System.out.println(fileArr[i]);

             //遍历完最后一个File对象，且最后一个File对象不是文件夹，说明当前文件夹遍历结束
             if(i==fileArr.length-1 && !fileArr[i].isDirectory()){
                 count--;
             }
             //如果是一个文件夹，使用递归重复上面的操作
             if(fileArr[i].isDirectory()){
                 count++;
                 getFileNames(fileArr[i]);
             }
        }
    }
}

package io;

import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;

import org.junit.Test;

public class SeriaDemo {
   //ObjectInputStream写入对象到硬盘中
   @Test
   public void ObjectOutput(){
       Student s = new Student();
       s.setName("张三");
       try(
               ObjectOutputStream oos = new ObjectOutputStream(new FileOutputStream("D:\\zhangsan"));
          ){
           oos.writeObject(s);
           oos.flush();
    } catch (FileNotFoundException e) {
        // TODO Auto-generated catch block
        e.printStackTrace();
    } catch (IOException e) {
        // TODO Auto-generated catch block
        e.printStackTrace();
    }
   }
   //ObjectInputStream从硬盘读取对象到内存
   @Test
   public void ObjectInput(){
       try(
        ObjectInputStream ois = new ObjectInputStream(new FileInputStream("D:\\zhangsan"));
      )
       {
           Student s = (Student)ois.readObject();
           System.out.println(s.getName());

    } catch (FileNotFoundException e) {
        // TODO Auto-generated catch block
        e.printStackTrace();
    } catch (IOException e) {
        // TODO Auto-generated catch block
        e.printStackTrace();
    } catch (ClassNotFoundException e) {
        // TODO Auto-generated catch block
        e.printStackTrace();
    }
   }
}