Learn Java by Example: Java Program to Load File as InputStream

Java Program to Load File as InputStream

In this example, we will learn to load a file as an input stream using the FileInputStream class in Java.

 


Example 1: Java Program to Load a Text File as InputStream


import java.io.InputStream;
import java.io.FileInputStream;

public class Main{

  public static void main(String args[]){

    try {

      // file input.txt is loaded as input stream
      // input.txt file contains:
      // This is a content of the file input.txt
      InputStream input = new FileInputStream("input.txt");

      System.out.println("Data in the file: ");

      // Reads the first byte
      int i = input.read();

      while(i != -1) {
        System.out.print((char)i);

        // Reads next byte from the file
        i = input.read();
      }
      input.close();
    }

    catch(Exception e) {
      e.getStackTrace();
    }
  }
}

Output

Data in the file: 
This is a content of the file input.txt.

In the above example, we have a file named input.txt. The content of the file is

This is a content of the file input.txt.

Here, we used the FileInputStream class to load the input.txt file as input stream. We then used the read() method to read all the data from the file.


Example 2: Java Program to Load Java File as InputStream

Consider we have a Java file named Test.java,


class Test{
  public static void main(String[] args){
    System.out.println("This is Java File");
  }
}

We can also load this Java file as input stream.


import java.io.InputStream;
import java.io.FileInputStream;

public class Main{

  public static void main(String args[]){

    try {

      // file Test.java is loaded as input stream
      InputStream input = new FileInputStream("Time.java");

      System.out.println("Data in the file: ");

      // Reads the first byte
      int i = input.read();

      while(i != -1) {
        System.out.print((char)i);

        // Reads next byte from the file
        i = input.read();
      }
      input.close();
    }

    catch(Exception e) {
      e.getStackTrace();
    }
  }
}

Output

Data in the file: 
class Test {
  public static void main(String[] args) {  
    System.out.println("This is Java File");
  }
}

In the above example, we have used the FileInputStream class to load the Java file as an input stream.

 

 

Python Example for Beginners

Two Machine Learning Fields

There are two sides to machine learning:

  • Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
  • Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.

Data Science Resources: Data Science Recipes and Applied Machine Learning Recipes

Introduction to Applied Machine Learning & Data Science for Beginners, Business Analysts, Students, Researchers and Freelancers with Python & R Codes @ Western Australian Center for Applied Machine Learning & Data Science (WACAMLDS) !!!

Latest end-to-end Learn by Coding Recipes in Project-Based Learning:

Applied Statistics with R for Beginners and Business Professionals

Data Science and Machine Learning Projects in Python: Tabular Data Analytics

Data Science and Machine Learning Projects in R: Tabular Data Analytics

Python Machine Learning & Data Science Recipes: Learn by Coding

R Machine Learning & Data Science Recipes: Learn by Coding

Comparing Different Machine Learning Algorithms in Python for Classification (FREE)

Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.