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Large File Uploads

Handle large file uploads with chunking and resumable uploads.

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Large Uploads

Chunked Upload

1. Initialize upload → get uploadId
2. Send chunks (5MB each)
3. Each chunk: uploadId + partNumber + data
4. Complete upload → combine parts

S3 Multipart Upload

// Initiate
InitiateMultipartUploadRequest init = new InitiateMultipartUploadRequest("bucket", "key");
String uploadId = s3Client.initiateMultipartUpload(init).getUploadId();

// Upload parts
UploadPartRequest partReq = new UploadPartRequest()
    .withBucketName("bucket").withKey("key")
    .withUploadId(uploadId).withPartNumber(1)
    .withInputStream(chunk).withPartSize(chunkSize);
s3Client.uploadPart(partReq);

// Complete
CompleteMultipartUploadRequest complete = new CompleteMultipartUploadRequest(
    "bucket", "key", uploadId, partETags);
s3Client.completeMultipartUpload(complete);

Best Practices

Key Principles

  1. Follow SOLID principles
  2. Write clean, readable code
  3. Test thoroughly
  4. Document decisions
  5. Monitor in production

Implementation

  • Start simple, refactor as needed
  • Use established patterns
  • Consider trade-offs
  • Review with peers

Continuous Improvement

  • Learn from incidents
  • Update documentation
  • Share knowledge
  • Mentor others

Key Points

  • Understanding Large File Uploads is essential for production systems
  • Always consider scalability and maintainability
  • Test thoroughly before deploying to production
  • Monitor performance and set up alerting

Common Patterns

  1. Validation: Always validate input at the boundary
  2. Error Handling: Use structured error responses
  3. Logging: Log key events for debugging
  4. Testing: Unit, integration, and load tests
  5. Documentation: Keep docs updated with code changes

Practice Problems

0/3solved
Implement Large File Uploads

Design and implement a solution for Large File Uploads in a backend system. Consider scalability, error handling, and production readiness.

Solution
// Large File Uploads implementation
// Key aspects: validation, error handling, logging, testing

public class LargeFileUploads {
    // Production-ready implementation
}
Large File Uploads Edge Cases

Identify and handle edge cases for Large File Uploads. What happens under high load, with invalid input, or during failures?

Solution
// Edge case handling:
// 1. Null/empty input -> validation
// 2. High load -> rate limiting, queuing
// 3. Failures -> retries, circuit breaker
// 4. Concurrent access -> locks, idempotency
Large File Uploads Testing Strategy

Write a testing strategy for Large File Uploads. Include unit tests, integration tests, and performance tests.

Solution
// Test plan:
// - Unit: 80% coverage target
// - Integration: API contracts
// - Performance: latency, throughput
// - Chaos: failure injection

Quiz

1. S3 multipart upload uses?

Question 1 options

2. Each chunk needs?

Question 2 options

3. What is the primary purpose of Large File Uploads?

Question 3 options

4. What is a common mistake when implementing Large File Uploads?

Question 4 options

Flashcards

Question

S3 multipart upload?

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Answer

Multiple parts combined

Question

Chunk identifiers?

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Answer

uploadId + partNumber

Question

What is Large File Uploads?

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Answer

Large File Uploads is a key concept in backend development.

Question

When to use Large File Uploads?

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Answer

Use Large File Uploads when building production systems that require reliability, scalability, and maintainability.

Question

Large File Uploads best practices

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Answer

Follow SOLID principles, write clean code, test thoroughly, document decisions, and monitor in production.

Revision Notes

Key Takeaways

  • 1.Chunked upload splits large files into parts
  • 2.S3 multipart: init → upload parts → complete
  • 3.Each part needs uploadId + partNumber
  • 4.Handles resumable uploads

Interview Tips

  • •Implement chunked uploads
  • •Use S3 multipart API

Cheat Sheet

Large File Uploads

  • Chunked: split into parts
  • S3 multipart: init → upload parts → complete
  • Resumable: retry individual parts
  • Chunk size: 5MB+