Generating custom subsegments with the X-Ray SDK for Python - Amazon X-Ray
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Generating custom subsegments with the X-Ray SDK for Python

Subsegments extend a trace's segment with details about work done in order to serve a request. Each time you make a call with an instrumented client, the X-Ray SDK records the information generated in a subsegment. You can create additional subsegments to group other subsegments, to measure the performance of a section of code, or to record annotations and metadata.

To manage subsegments, use the begin_subsegment and end_subsegment methods.

Example – Custom subsegment
from aws_xray_sdk.core import xray_recorder subsegment = xray_recorder.begin_subsegment('annotations') subsegment.put_annotation('id', 12345) xray_recorder.end_subsegment()

To create a subsegment for a synchronous function, use the @xray_recorder.capture decorator. You can pass a name for the subsegment to the capture function or leave it out to use the function name.

Example – Function subsegment
from aws_xray_sdk.core import xray_recorder @xray_recorder.capture('## create_user') def create_user(): ...

For an asynchronous function, use the @xray_recorder.capture_async decorator, and pass an async context to the recorder.

Example – Asynchronous function subsegment
from aws_xray_sdk.core.async_context import AsyncContext from aws_xray_sdk.core import xray_recorder xray_recorder.configure(service='my_service', context=AsyncContext()) @xray_recorder.capture_async('## create_user') async def create_user(): ... async def main(): await myfunc()

When you create a subsegment within a segment or another subsegment, the X-Ray SDK for Python generates an ID for it and records the start time and end time.

Example Subsegment with metadata
"subsegments": [{ "id": "6f1605cd8a07cb70", "start_time": 1.480305974194E9, "end_time": 1.4803059742E9, "name": "Custom subsegment for UserModel.saveUser function", "metadata": { "debug": { "test": "Metadata string from UserModel.saveUser" } },