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Building Reliable Large-File Uploads for Mobile Apps Using Chunking

Dhaval Baldha

Dhaval Baldha

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Building Reliable Large-File Uploads for Mobile Apps Using Chunking

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Uploading large videos from mobile devices is a common requirement in modern apps – social platforms, e-commerce, education, streaming, and professional tools all rely on reliable media uploads. However, achieving a smooth and stable upload experience on mobile networks is far more challenging than it seems.

For any mobile app development company, ensuring seamless video uploads is a critical part of delivering high-quality mobile experiences.

Mobile environments introduce complications such as:

  • Flaky or slow networks  
  • Switching between Wi-Fi ↔️ mobile data  
  • OS suspending or killing background processes  
  • Limited memory and CPU 
  • Variable file sizes (from MBs to multiple GBs)  

To solve these challenges, one of the most effective techniques is chunked uploading – splitting large video files into smaller segments and uploading them incrementally.

Why Chunked Uploading Is Essential for Mobile Apps

1. Strong Reliability on Unstable Networks

Mobile networks change constantly:

  • Users move between cell towers  
  • Connections drop inside buildings  
  • Network strength fluctuates  
  • Uploads may break mid-way  

If you upload a 1 GB file in a single request and it fails at 90%, you must **restart the entire upload**.

With chunking:

  • A file is split into smaller parts (e.g., 5–10 MB)  
  • Only the failed chunk needs a retry  
  • You never restart from zero  
  • Upload continues even if the app is temporarily backgrounded (with proper OS support)

2. Pause & Resume Support

Chunking allows:

  • Pause the upload at any point
  • Resuming only the missing chunks  
  • Continuing even after app restarts  
  • Uploading only on Wi-Fi if the user prefers  

These capabilities significantly enhance the overall user experience

3. Better User Feedback & Progress Tracking

Chunked uploads allow the app to:

  • Monitor the progress of each chunk
  • Show detailed progress metrics (e.g., “57/200 chunks uploaded”)
  • Calculate accurate ETA  
  • Restore and display meaningful upload status even after the app is reopened

This avoids “stuck at 99%” problems.

4. Backend Scalability and Control

On the server side, smaller requests improve:

  • Memory usage  
  • Response times  
  • Error handling  
  • Security validations  

The server can:

  • Validate each chunk  
  • Consume limited resources per request  
  • Support parallel chunk uploads  
  • Assemble the final video on completion  

5. Supports Very Large Files

Some mobile upload scenarios involve:

  • 1–5 GB training videos  
  • High-resolution 4K recordings  
  • Multi hours long screen recordings  

Chunking ensures these huge uploads are manageable on mobile hardware.

Chunked Upload Architecture (Client + Server)

Mobile App Responsibilities

The mobile application must:

  • Read video file from device storage  
  • Calculate the number of chunks  
  • Send each chunk in a separate request  
  • Handle retries for failed chunks  
  • Track completed chunks locally  
  • Provide the user with upload progress  
  • Support pause/resume  

Backend Responsibilities

The backend should:

  • Create an upload session and return a unique `uploadId`  
  • Receive multiple chunks for that session  
  • Validate and save each chunk  
  • Keep track of which chunks were uploaded  
  • Reassemble chunks once all are received  
  • Delete unused/incomplete uploads periodically  

Here’s what a typical API structure looks like:

EndpointPurpose
POST /uploads/initCreate an upload session
PUT /uploads/:uploadId/chunks/:indexUpload individual chunk
GET /uploads/:uploadId/statusCheck uploaded chunks
POST /uploads/:uploadId/completeFinalize & assemble

How Chunk Uploading Works – Step-by-Step

1. Initialization Request

The app starts by requesting an upload session:

POST /uploads/init

{

  “fileName”: “video.mp4”,

  “fileSize”: 1200400000,

  “mimeType”: “video/mp4”

}

Backend responds:

{

  “uploadId”: “abc123”,

  “chunkSize”: 5242880,

  “maxRetries”: 3

}

2. Split the Video Into Chunks

The app splits the file:

totalChunks = ceil(fileSize / chunkSize)

for i in range(0, totalChunks):

    start = i * chunkSize

    end = start + chunkSize

    readBytes(start, end)

3. Upload Each Chunk Individually

Each chunk is uploaded with metadata:

PUT /uploads/abc123/chunks/0

Content-Type: application/octet-stream

Headers:

  X-Upload-Id: abc123

  X-Chunk-Index: 0

  X-Total-Chunks: 220

4. Retry Failed Chunks

If a chunk fails:

  • Retry it automatically  
  • Retry only that chunk  
  • Pause upload if retries exceed limits  

Chunking makes failures inexpensive.

5. Complete the Upload

Once all chunks are uploaded:

POST /uploads/abc123/complete

Backend checks chunk completeness and assembles the final file:

{

  “status”: “completed”,

  “fileUrl”: “https://cdn.example.com/videos/xyz789.mp4”,

  “videoId”: “xyz789”

}

6. Resume Support

On app restart, the client can request:

GET /uploads/abc123/status

Backend returns:

{

  “uploadedChunks”: [0,1,2,5,6],

  “missingChunks”: [3,4,7,8,9]

}

The app uploads only missing chunks.

Best Practices for Implementing Chunked Uploads

1. Choose Optimal Chunk Size

Recommended: 5–10 MB per chunk

  • Too small → too many requests  
  • Too large → heavy retries & memory spikes  

2. Store Upload State Locally

Track:

  • Current chunk index  
  • UploadId  
  • Completed chunk list  
  • File path  
  • Total chunks  

Use local storage that persists across app restarts.

3. Backend Should Accept Out-of-Order Chunks

This allows:

  • Parallel uploads  
  • Safe retries  
  • Faster completion  

Never force sequential chunk arrival.

4. Secure Every Request

Attach authentication to each chunk request.

5. Clean Up Old Upload Sessions

If an upload is abandoned:

  • Remove temporary chunks  
  • Free storage  
  • Expire the upload session  

6. Support Background Uploading

Depending on your tech stack (native, cross-platform), use OS capabilities such as:

  • Background services (Android)
  • Background URL sessions (iOS)  

This ensures the upload continues if:

  • User locks the screen  
  • Switches apps  
  • Temporarily leaves the app  

7. Validate Each Chunk

Server can check:

  • Chunk size  
  • Checksums  
  • Correct chunk index  
  • Malicious or invalid data  

Conclusion

Chunked uploading is the most reliable method for uploading large videos in mobile applications. It provides:

  • High reliability on unstable mobile networks  
  • True pause/resume upload functionality  
  • Accurate progress updates  
  • Backend scalability  
  • Ability to support files of any size  

Whether you’re building a social media app, an educational platform, a video-reporting system, or a content-creation tool, chunked uploads ensure your users never suffer frustrating upload failures.

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