了解 Amazon API Gateway API 的 AWS X-Ray 跟踪

本部分讨论 Amazon API Gateway API 的 AWS X-Ray 跟踪分段、子段和其他跟踪字段。

阅读本节之前，请查看《X-Ray 开发人员指南》中的以下主题中：

• AWS X-Ray 控制台

• AWS X-Ray 分段文档

• X-Ray 概念

针对 API Gateway API 的跟踪对象示例

本节讨论您可能在 API Gateway API 跟踪中看到的一些对象。

注释

注解可在分段和子分段中出现。它们在采样规则中用作过滤表达式，以过滤跟踪。有关更多信息，请参阅在 AWS X-Ray 控制台中配置采样规则。

下面是 annotations 对象的一个示例，其中，API 阶段由 API ID 和 API 阶段名称标识：

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

AWS 资源数据

aws 对象仅存在于分段中。以下是与默认的取样规则匹配的 aws 对象的一个示例。有关采样规则的深入说明，请参阅 AWS X-Ray 控制台中配置采样规则。

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

了解跟踪

以下是 API Gateway 阶段的跟踪分段。有关组成跟踪分段的字段的详细说明，请参阅“AWS X-Ray 开发人员指南”中的 AWS X-Ray 分段文档。

        {
            "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"
        }