Optimizing Task Throughput: A Guide to Batch Sizing for NumDetect
When integrating NumDetect into your data pipeline, ensuring your input files align with the platform's processing requirements is critical for successful task submission. A common hurdle developers encounter is the rejection of smaller batches, such as a file containing 300 numbers. Understanding the architectural boundaries of the POST /api/v1/bulk-tasks workflow is essential for maintaining efficient, automated list processing.
Understanding the Batch Boundary
NumDetect is designed as an asynchronous bulk processing engine. To maintain operational efficiency across the platform, each task must contain a minimum of 500 numbers and a maximum of 500,000 numbers.
If you submit a file with fewer than 500 entries, the system will reject the request. This design choice ensures that the asynchronous infrastructure is utilized for meaningful batch sizes, preventing the overhead associated with processing fragmented, small-scale requests. Importantly, files that do not meet this minimum threshold are rejected upon upload and do not incur any processing costs.
Implementation Strategy: Aggregation
To resolve issues with small batch rejections, implement a simple aggregation layer in your application before triggering the API call. Instead of firing tasks for every small set of numbers as they arrive, adopt a buffer-and-flush strategy:
- Buffer: Collect incoming phone numbers in a temporary queue or local storage.
- Threshold Check: Before calling the API, verify that the count of valid E.164 numbers meets the 500-number minimum.
- Submit: Once the threshold is met, package the numbers into a TXT or CSV file (one number per line) and initiate the task.
- Monitor: Use
GET /api/v1/bulk-tasks/{id} to track the status of your batch as it moves through the processing, success, or failed states.
Data Hygiene and Compliance
When preparing your batches, ensure that you are adhering to data minimization principles. Per GDPR Article 5(1)(c), only process the data necessary for your specific campaign or CRM hygiene goals.
Additionally, remember that NumDetect does not support China mainland numbers. Ensure your pre-processing logic filters out these numbers before submission to avoid unnecessary task failures. All numbers should be formatted according to ITU-T Recommendation E.164 to ensure the highest match rates for services like Phone Number Validation or Global carrier lookup.
Takeaway
By aligning your application's batching logic with the 500 to 500,000 number-per-task constraint, you can eliminate submission errors and ensure your data remains within the efficient operational parameters of the NumDetect platform. For further technical details on integrating these signals, refer to the official API documentation.
Optimizing Task Throughput: A Guide to Batch Sizing for NumDetect
When integrating NumDetect into your data pipeline, ensuring your input files align with the platform's processing requirements is critical for successful task submission. A common hurdle developers encounter is the rejection of smaller batches, such as a file containing 300 numbers. Understanding the architectural boundaries of the
POST /api/v1/bulk-tasksworkflow is essential for maintaining efficient, automated list processing.Understanding the Batch Boundary
NumDetect is designed as an asynchronous bulk processing engine. To maintain operational efficiency across the platform, each task must contain a minimum of 500 numbers and a maximum of 500,000 numbers.
If you submit a file with fewer than 500 entries, the system will reject the request. This design choice ensures that the asynchronous infrastructure is utilized for meaningful batch sizes, preventing the overhead associated with processing fragmented, small-scale requests. Importantly, files that do not meet this minimum threshold are rejected upon upload and do not incur any processing costs.
Implementation Strategy: Aggregation
To resolve issues with small batch rejections, implement a simple aggregation layer in your application before triggering the API call. Instead of firing tasks for every small set of numbers as they arrive, adopt a buffer-and-flush strategy:
GET /api/v1/bulk-tasks/{id}to track the status of your batch as it moves through theprocessing,success, orfailedstates.Data Hygiene and Compliance
When preparing your batches, ensure that you are adhering to data minimization principles. Per GDPR Article 5(1)(c), only process the data necessary for your specific campaign or CRM hygiene goals.
Additionally, remember that NumDetect does not support China mainland numbers. Ensure your pre-processing logic filters out these numbers before submission to avoid unnecessary task failures. All numbers should be formatted according to ITU-T Recommendation E.164 to ensure the highest match rates for services like Phone Number Validation or Global carrier lookup.
Takeaway
By aligning your application's batching logic with the 500 to 500,000 number-per-task constraint, you can eliminate submission errors and ensure your data remains within the efficient operational parameters of the NumDetect platform. For further technical details on integrating these signals, refer to the official API documentation.