Problem
I’m querying Data Action execution metrics via /api/v2/analytics/details/query in us-east-1 using OTel Python SDK 1.24.0. The endpoint consistently drops records when the OTel trace context exceeds 64 bytes. I’m trying to maintain accurate span propagation across Data Actions for Jaeger correlation, but the validation layer is intercepting the full context injection payload.
Code
query = {"interval": "2024-05-01/2024-05-02", "view": "dataActionExecution", "filter": {"type": "expression", "expression": "traceContext = '00-1234567890abcdef1234567890abcdef-1234567890abcdef-01'"}}
Error
Gateway logs confirm the request reaches the endpoint successfully before the validation layer rejects it, returning a 400 with:
{"code":"invalid_filter","message":"Context injection payload exceeds schema limit"}
Truncating the trace ID breaks Jaeger correlation, which makes the truncated IDs completely useless for distributed tracing.
Question
What’s the recommended approach for handling context injection payloads that exceed the 64-byte schema limit without breaking trace continuity? I want to ensure proper W3C trace context propagation through the analytics query. Should I be adjusting the context injection pattern for Data Actions, or is there a backend configuration in Jaeger/Zipkin that can accommodate larger payloads? I’m eager to learn the best practice here to keep my distributed tracing pipeline intact.