一般文本文件
我们以日志文件.log文件为例：
import java.io.BufferedReader;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.FileReader;
import java.io.IOException;
public class File_Test {
/**
* @param args
*/
public static void main(String[] args) {
File file = new File("D:\\logserrorMsg.log");
if(file.exists()){
System.out.println("此文件存在");
} else {
System.out.println("此文件不存在");
}
try {
FileReader fr = new FileReader(file);
BufferedReader br = new BufferedReader(fr);
String s;
while((s=br.readLine())!=null){
System.out.println(s);
}
System.out.println("文件大小为（MB）："+new FileInputStream(file).available() / 1024 / 1024 +"M");
} catch (FileNotFoundException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
}
}
.doc文件
这里我们使用WordExtractor读取Word文档，WordExtractor来自于Apache的poi类库项目，官方下载地址：https://poi.apache.org/download.html
import java.io.FileInputStream;
import org.textmining.text.extraction.WordExtractor;
public class WordTest {
public static void main(String args[]) throws Exception {
new WordTest().readByOther();
}
public void readByText() throws Exception {
FileInputStream in = new FileInputStream("C://test.doc ");
WordExtractor extractor = new WordExtractor();
String str = extractor.extractText(in);
System.out.println(str);
}
}