Batch Creation

Why It Matters

Batch Creation significantly improves operational efficiency by reducing the number of API calls and minimizing overhead. For businesses managing thousands of QR codes, this can reduce API latency and improve overall system throughput.

From a security standpoint, batch operations can reduce exposure by limiting the number of individual API interactions, which lowers the chance of credential leakage or unauthorized access during code generation. It also simplifies audit trails and tracking since all operations are grouped under a single transaction.

Performance-wise, batch creation reduces server load and network overhead. It is especially beneficial for businesses that rely on automated systems or integration pipelines where frequent API calls can impact scalability or increase latency.

How It Works

Batch Creation in PixQR is implemented through a dedicated API endpoint that accepts a list of QR code parameters. The system validates the input, processes all codes in parallel, and returns a structured response containing details for each generated code.

• Each batch request can include up to 1000 QR codes, depending on platform limits and configuration.
• Parameters for each code are defined in a JSON array, including content, size, design, and redirect URL.
• The system supports both static and dynamic QR codes within a single batch, with appropriate flags for each.
• Responses are returned in the same order as input requests, allowing for easy mapping and tracking.
• Batch operations are atomic, meaning either all codes are generated successfully or the entire batch fails with an error message.

Internally, PixQR uses a queue-based system to manage batch requests. Each batch is assigned a unique identifier, which can be used to track status or retrieve results. This approach ensures that even large batches are processed efficiently without blocking other operations.

Quick Reference

Basic Example

PixQR Example QR

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/glossary/qr-code-for-business/qr-codes-for-business-batch-creation

This example demonstrates how to submit a simple batch request with two QR codes. Each code has a unique URL and a static design.

{
  "batch_size": 2,
  "request_id": "batch_12345",
  "code_parameters": [
    {
      "content": "https://example.com/product/123",
      "design": "standard",
      "size": 300
    },
    {
      "content": "https://example.com/product/456",
      "design": "standard",
      "size": 300
    }
  ],
  "output_format": "png"
}

The key elements are the code_parameters array, which defines the content and properties of each QR code, and the output_format field, which determines how the codes are returned.

Production Example

This example includes error handling, validation, and configuration for a production-grade batch creation workflow.

{
  "batch_size": 50,
  "request_id": "prod_batch_001",
  "code_parameters": [
    {
      "content": "https://shop.example.com/item/001",
      "design": "minimal",
      "size": 256,
      "redirect_url": "https://analytics.example.com/track?source=qr&item=001",
      "expires_in_days": 30
    },
    {
      "content": "https://shop.example.com/item/002",
      "design": "minimal",
      "size": 256,
      "redirect_url": "https://analytics.example.com/track?source=qr&item=002",
      "expires_in_days": 30
    }
  ],
  "output_format": "zip",
  "metadata": {
    "campaign": "Summer Sale",
    "department": "Marketing"
  }
}

This version includes metadata for tracking, expiration settings, and a ZIP output format, which is more suitable for large-scale deployments. The use of redirect_url enables analytics integration, and expires_in_days ensures codes are not used indefinitely.

Common Mistakes

• Not validating input parameters before batch submission, leading to partial failures or malformed codes.
• Using too large a batch size, which can exceed API limits or cause timeouts.
• Ignoring the request_id in batch tracking, making it difficult to debug or monitor operations.
• Submitting codes with conflicting metadata or duplicate content, which can cause tracking or analytics issues.
• Not specifying an output format, which defaults to a less efficient format and increases bandwidth usage.

Security And Production Notes

• Always validate and sanitize content before batch submission to prevent injection or malformed data.
• Use request_id for logging and monitoring to ensure traceability of batch operations.
• Implement rate limiting or throttling to prevent abuse or accidental overuse of API resources.
• Securely store and rotate API keys used for batch creation to prevent unauthorized access.
• Use HTTPS for all batch creation requests to ensure data integrity and confidentiality.

Related Concepts

Batch Creation is closely related to several other QR code management features and practices:

• Dynamic QR Codes are often used within batch operations to allow real-time content updates.
• API Rate Limiting affects how frequently batch operations can be submitted, especially for high-volume users.
• QR Code Analytics provides insights into batch performance and usage patterns.
• Redirect Management is essential when integrating batch-generated codes with tracking systems.
• Batch Processing is a common pattern in system design that Batch Creation leverages for scalability.

Further Reading

• MDN Web Docs
• WHATWG HTML Standard