Cloud Logging 日志结构

Cloud Logging 使用 LogEntry 数据类型表示日志，该类型定义了所有日志条目的通用数据以及 Google Cloud 服务可以包含的特定载荷。如需了解详情，请参阅 LogEntry。

长日志会拆分为多个日志条目。请参阅本文档中的处理拆分日志。

日志条目示例

以下示例展示了 UpdateVehicle 日志的 LogEntry。RPC 请求和响应位于 jsonPayload 字段内。

    {
      "insertId": "c6b85fbc927343fc8a85338c57a65733",
      "jsonPayload": {
        "request": {
          "header": {4},
          "updateMask": "deviceSettings",
          "vehicleId": "uniqueVehicleId",
          "vehicle": {2}
        },
        "response": {
          "name": "providers/example-project-id/vehicles/uniqueVehicleId",
          "availableCapacity": 2,
          "state": "VEHICLE_STATE_OFFLINE",
          "maximumCapacity": 2,
          "vehicleType": {1},
          "supportedTrips": {1}
        },
        "@type": "type.googleapis.com/maps.fleetengine.v1.UpdateVehicleLog"
      },
      "resource": {
        "type": "fleetengine.googleapis.com/Fleet",
        "labels": {2}
      },
      "timestamp": "2021-01-01T00:00:00.000000000Z",
      "labels": {2},
      "logName": "projects/example-project-id/logs/fleetengine.googleapis.com%2Fupdate_vehicle",
      "receiveTimestamp": "2021-01-01T00:00:00.000000000Z"
    }

如果返回 RPC 错误，则会清除 responseVehicle 字段，并在 jsonPayload 中设置和填充 errorResponse 字段。

    {
      "insertId": "c6b85fbc927343fc8a85338c57a65733",
      "jsonPayload": {
        "errorResponse": {
          "httpStatusCode": 404,
          "code": "NOT_FOUND",
          "message": "No entity with id invalidVehicleId exists"
        },
        "@type": "type.googleapis.com/maps.fleetengine.v1.UpdateVehicleLog",
        "request": {
          "vehicle": {3},
          "updateMask": "deviceSettings",
          "vehicleId": "fakeVehicleId",
          "header": {4}
        }
      },
      "resource": {
        "type": "fleetengine.googleapis.com/Fleet",
        "labels": {2}
      },
      "timestamp": "2021-01-01T00:00:00.000000000Z",
      "severity": "ERROR",
      "labels": {2}
      "logName": "projects/example-project-id/logs/fleetengine.googleapis.com%2Fupdate_vehicle",
      "receiveTimestamp": "2021-01-01T00:00:00.000000000Z"
    }

如需详细了解日志记录查询语言，请参阅日志记录查询语言。

如需了解如何使用日志创建指标，请参阅基于日志的指标概览。

后续步骤

使用拆分日志处理较长的日志条目。