Amazon X-Ray traces for Amazon API Gateway APIs - Amazon API Gateway
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Amazon X-Ray traces for Amazon API Gateway APIs

This section discusses Amazon X-Ray trace segments, subsegments, and other trace fields for Amazon API Gateway APIs.

Before you read this section, review the following topics in the X-Ray Developer Guide:

Examples of trace objects for an API Gateway API

This section discusses some of the objects you may see in a trace for an API Gateway API.

Annotations

Annotations can appear in segments and subsegments. They are used as filtering expressions in sampling rules to filter traces. For more information, see Configure sampling rules.

Following is an example of an annotations object, in which an API stage is identified by the API ID and the API stage name:

"annotations": { "aws:api_id": "a1b2c3d4e5", "aws:api_stage": "dev" }

For more information about annotations, see X-Ray segment documents, and then choose X-Ray segment documents, Annotations.

Amazon resource data

The aws object appears only in segments. Following is an example of an aws object that matches the Default sampling rule. For an in-depth explanation of sampling rules, see Configure sampling rules.

"aws": { "xray": { "sampling_rule_name": "Default" }, "api_gateway": { "account_id": "123412341234", "rest_api_id": "a1b2c3d4e5", "stage": "dev", "request_id": "a1b2c3d4-a1b2-a1b2-a1b2-a1b2c3d4e5f6" } }

For more information about the aws object, see X-Ray segment documents, and then choose X-Ray segment documents, Amazon resource data.

Understanding the trace

Following is a trace segment for an API Gateway stage. For a detailed explanation of the fields that make up the trace segment, see X-Ray segment documents.

{ "Document": { "id": "a1b2c3d4a1b2c3d4", "name": "testxray/dev", "start_time": 1533928226.229, "end_time": 1533928226.614, "metadata": { "default": { "extended_request_id": "abcde12345abcde=", "request_id": "a1b2c3d4-a1b2-a1b2-a1b2-a1b2c3d4e5f6" } }, "http": { "request": { "url": "https://example.com/dev?username=demo&message=hellofromdemo/", "method": "GET", "client_ip": "192.0.2.0", "x_forwarded_for": true }, "response": { "status": 200, "content_length": 0 } }, "aws": { "xray": { "sampling_rule_name": "Default" }, "api_gateway": { "account_id": "123412341234", "rest_api_id": "a1b2c3d4e5", "stage": "dev", "request_id": "a1b2c3d4-a1b2-a1b2-a1b2-a1b2c3d4e5f6" } }, "annotations": { "aws:api_id": "a1b2c3d4e5", "aws:api_stage": "dev" }, "trace_id": "1-a1b2c3d4-a1b2c3d4a1b2c3d4a1b2c3d4", "origin": "AWS::ApiGateway::Stage", "resource_arn": "arn:aws:apigateway:us-east-1::/restapis/a1b2c3d4e5/stages/dev", "subsegments": [ { "id": "abcdefgh12345678", "name": "Lambda", "start_time": 1533928226.233, "end_time": 1533928226.6130002, "http": { "request": { "url": "https://example.com/2015-03-31/functions/arn:aws:lambda:us-east-1:123412341234:function:xray123/invocations", "method": "GET" }, "response": { "status": 200, "content_length": 62 } }, "aws": { "function_name": "xray123", "region": "us-east-1", "operation": "Invoke", "resource_names": [ "xray123" ] }, "namespace": "aws" } ] }, "Id": "a1b2c3d4a1b2c3d4" }