We’re building an automated compliance reporting system that fetches audit records via the Trackwise API. When pulling large batches (5000+ records), we consistently hit rate limits around record 3000, causing the job to fail and leaving our reports incomplete.
Current implementation:
for (int offset = 0; offset < totalRecords; offset += 100) {
String url = apiBase + "/audit?limit=100&offset=" + offset;
Response response = client.get(url);
processRecords(response.getData());
}
Error received: `HTTP 429 - Rate limit exceeded. Retry after 300 seconds.
The 5-minute wait breaks our reporting window. We need to fetch monthly audit data (typically 15,000-20,000 records) within a 30-minute scheduled job. Has anyone found a reliable approach for batch data retrieval without hitting these limits?
Another approach: implement incremental sync instead of full pulls. Store the last sync timestamp and only fetch records modified since then using the modifiedAfter parameter. For monthly reports, this drastically reduces the record count after the initial full sync. Combined with proper pagination and rate limit handling, this should keep you well under the threshold.
The rate limit in Trackwise 9.0 is typically 1000 requests per hour per API key. Your loop is making 150+ requests for 15k records, which will definitely hit the limit. Consider using a larger page size - the API supports up to 500 records per request. That would cut your request count by 80%.
Have you considered requesting a rate limit increase from Sparta Systems support? For legitimate automated reporting use cases, they can adjust the limits on your instance. We got ours increased from 1000 to 5000 requests/hour for our compliance automation account. You’ll need to provide justification and ensure your API calls are optimized first.
Check if your Trackwise instance supports the bulk export API endpoint rather than paginated fetching. For large audit data pulls, there’s a /audit/export endpoint that generates a downloadable file asynchronously. You submit the request with date filters, get a job ID, then poll for completion. Once ready, download the complete dataset in one call - no rate limiting on the download itself.