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How to fix a 413: request entity too large error ?

In this article, we will learn about an Error request entity too large which typically occurs when the size of the data, being sent to a server, exceeds the maximum limit allowed by the server or the web application in web development when handling file uploads, form submissions, or any other data sent in the request body.

We will discuss the following approaches to resolve this error:

Table of Content

What is the request entity too large error ?

The “Error: request entity too large” typically occurs when the size of the data being sent in a request exceeds the server’s configured limit. This error is common in web applications that handle file uploads or large data payloads.

Steps to setup the Node Application:

Step 1: Initialize a directory as a new Node.js project

npm init -y

Step 2: Install Express and body-parser

npm install express body-parser

The updated dependencies in package.json file for backend will look like:

"dependencies": {
    "body-parser": "^1.20.2",
    "express": "^4.18.2",
}

Step 3: Create an Express server and add the following code:

Javascript

const express = require('express');
const bodyParser = require('body-parser');
  
const app = express();
  
app.use(bodyParser.json({ limit: '1kb' }));
  
app.post('/api/data', (req, res) => {
  const data = req.body;
  console.log('Received data:', data);
  res.status(200).json({ message: 'Data received successfully.' });
});
  
const PORT = process.env.PORT || 3000;
  
app.listen(PORT, () => {
  console.log(`Server is running on http://localhost:${PORT}`);
});

Step 4: Run the server

node app.js

Step 5: Test the endpoint with a large payload

You can use tools like Postman or curl to send a POST request with a large JSON payload to the `/api/data` endpoint. The server should now be able to handle larger JSON payloads with the “Request Entity Too Large” error.

Output: Your Express server is now running on http://localhost:3000.

ezgifcom-video-to-gif-converter

Middleware Approach:

Use the body-parser middleware to handle incoming JSON payloads and set the limit option to increase the allowed request size.

Example: Below is the code example of middleware

Javascript

const express = require('express');
const bodyParser = require('body-parser');
  
const app = express();
  
// Middleware to parse JSON with an increased limit (e.g., 20MB)
app.use(bodyParser.json({ limit: '20mb' }));
  
app.post('/api/data', (req, res) => {
    const data = req.body;
    console.log('Received data:', data);
    res.status(200)
        .json(
            {
                message: 'Data received successfully.'
            }
        );
});
  
const PORT = process.env.PORT || 3000;
  
app.listen(PORT, () => {
    console.log(
        `Server is running on http://localhost:${PORT}`
    );
});

In this example, the body-parser middleware is configured to parse JSON with a limit of 20MB. Adjust the limit according to your specific requirements.

Output:

ezgifcom-video-to-gif-converter(2)

File Upload Middleware Approach:

If you are dealing with file uploads, you may encounter the error due to file size limitations. You can use the multer middleware for handling file uploads in Express

Example: Below is the code example of file upload using middleware:

Javascript

const express = require('express');
const multer = require('multer');
  
const app = express();
  
// Configure multer to handle file uploads
const storage = multer.memoryStorage();
const upload = multer(
    {
        storage: storage,
        limits: {
            fileSize: 20 * 1024 * 1024
        }
    });
  
app.post('/api/upload',
    upload.single('image'), (req, res) => {
        const file = req.file;
        console.log('Received file:', file);
        res.status(200)
            .json(
                {
                    message: 'File received successfully.'
                }
            );
    });
  
const PORT = process.env.PORT || 3000;
  
app.listen(PORT, () => {
    console.log(
        `Server is running on http://localhost:${PORT}`
    );
});

In this example, multer is configured to accept file uploads with a maximum size of 20MB. Adjust the fileSize limit as needed.

Output:

ezgifcom-video-to-gif-converter(1)

Raw Body Parsing Approach:

You can directly access and parse the raw request body. This gives you more control over the parsing process.

Example: Below is the code example of raw body parsing

Javascript

const express = require('express');
const app = express();
  
app.use((req, res, next) => {
    let data = '';
    req.setEncoding('utf8');
    req.on('data', (chunk) => {
        data += chunk;
    });
  
    req.on('end', () => {
        req.body = data;
        next();
    });
});
  
app.post('/api/rawdata', (req, res) => {
    console.log('Received raw data:', req.body);
    res.status(200)
        .json(
            {
                message: 'Raw data received successfully.'
            }
        );
});
  
const PORT = process.env.PORT || 3000;
  
app.listen(PORT, () => {
    console.log(
        `Server is running on http://localhost:${PORT}`
    );
});

This approach manually reads and concatenates chunks of the request body to give you control over the entire request payload and handle large payloads efficiently.

Output:

ezgifcom-video-to-gif-converter(3)


 


Reffered: https://www.geeksforgeeks.org

Express.js

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Category:
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Sub Category:
 Tutorial
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