Cloud Endpoints 会使用您在 gRPC API 配置 YAML 文件中配置的名称作为服务名称。
您的 API 服务名称在 Google Cloud上必须是唯一的。由于 Endpoints 使用符合 DNS 规范的名称来识别服务,因此建议您使用 API 的域名或子网域名作为服务名称。使用此方法,Endpoints 服务页面上显示的服务名称会与对 API 的请求中使用的名称相匹配。Endpoints 对服务名称有以下要求:
域名的最大长度为 253 个字符。
域名必须以小写字母开头。
域名中用点分隔开的每个部分均必须满足以下要求:
必须以小写字母开头。
不得以短划线结尾。
其余字符可以是小写字母、数字或短划线。
长度上限为 63 个字符。
您可以注册自己的自定义网域(例如 example.com),也可以使用由 Google 管理的网域。
使用由 Google 管理的网域
cloud.goog 网域归 Google 所有并由其管理。如果您想要使用由 Google 管理的网域,则必须在服务名称中包括您的 Google Cloud 项目 ID。由于 Google Cloud 项目具有全局唯一的项目 ID,因此这项要求可确保您的服务名称是独一无二的。如果您想要使用 cloud.goog 网域,则服务名称必须采用以下格式,其中 YOUR_API_NAME 是 API 的名称,而 YOUR_PROJECT_ID 是您的Google Cloud 项目 ID:
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-09-04。"],[[["\u003cp\u003eThis guide provides instructions for configuring a gRPC service that is managed by Cloud Endpoints, including required setup steps and prerequisites.\u003c/p\u003e\n"],["\u003cp\u003eThe service name configured in the gRPC API YAML file must be unique on Google Cloud and is recommended to match the API's domain or subdomain name for easier management and potential Cloud Endpoints Portal creation.\u003c/p\u003e\n"],["\u003cp\u003eYou can use either a Google-managed domain (\u003ccode\u003ecloud.goog\u003c/code\u003e) or a custom domain for your gRPC service, each with specific requirements for naming and verification.\u003c/p\u003e\n"],["\u003cp\u003eConfiguring the protocol buffer involves creating a \u003ccode\u003e.proto\u003c/code\u003e file, compiling it with the \u003ccode\u003eprotoc\u003c/code\u003e compiler, and optionally setting up HTTP/JSON transcoding for client access.\u003c/p\u003e\n"],["\u003cp\u003eA gRPC service configuration YAML file is required to define the service name, display title, API name, and usage restrictions, such as API key requirements, within the Endpoints environment.\u003c/p\u003e\n"]]],[],null,["# Configuring Cloud Endpoints\n\n[OpenAPI](/endpoints/docs/openapi/configure-endpoints \"View this page for the Cloud Endpoints OpenAPI docs\") \\| gRPC\n\n\u003cbr /\u003e\n\nThis page describes the configuration files needed to create a gRPC service\nthat is managed by Endpoints.\n\nPrerequisites\n-------------\n\nAs a starting point, this page assumes that you have:\n\n- A [Google Cloud project](/resource-manager/docs/creating-managing-projects).\n- Basic knowledge of [configuring a gRPC API service](/endpoints/docs/grpc/grpc-service-config).\n- Installed gRPC and the gRPC tools. Read [Get started with gRPC](https://grpc.io/docs/quickstart/) for details.\n\nChoosing the service name\n-------------------------\n\nCloud Endpoints uses the name you configure in your gRPC API configuration YAML file as the name of your service.\n\nThe name of your API service must be unique on Google Cloud. Because\nEndpoints uses DNS-compatible names to identify services, we\nrecommend that you use your API's domain name or subdomain name as the service\nname. With this approach, the service name that appears on the **Endpoints\nServices** page matches the name used in requests to your API.\nEndpoints has the following requirements for the service name:\n\nYou can either register your own custom domain (such as `example.com`), or\nyou can use a domain managed by Google.\n\n### Use a domain managed by Google\n\nGoogle owns and manages the `cloud.goog` domain. If you want to use a domain managed by Google, you must use your Google Cloud project ID as part of the service name. Because Google Cloud projects have a globally unique project ID, this requirement ensures that you have a unique service name. If you want to use the `cloud.goog` domain, the service name must be in the format, where \u003cvar translate=\"no\"\u003eYOUR_API_NAME\u003c/var\u003e is the name of your API and \u003cvar translate=\"no\"\u003eYOUR_PROJECT_ID\u003c/var\u003e is your Google Cloud project ID:\n\n\u003cbr /\u003e\n\n```\nYOUR_API_NAME.endpoints.YOUR_PROJECT_ID.cloud.goog`\n```\n\nTo use this domain as the API's domain name, read\n[Configuring DNS on the `cloud.goog` domain](/endpoints/docs/grpc/cloud-goog-dns-configure).\n\n\n### Use a custom domain\n\nIf you don't want to use a domain managed by Google, you can use a custom domain\n(for example, `myapi.mycompany.com`) that you are authorized to use.\nBefore you deploy the API configuration, follow the steps in\n[Verify ownership of the domain](/endpoints/docs/grpc/verify-domain-name).\n\nConfiguring the protocol buffer\n-------------------------------\n\n1. Create a `.proto` file for your service. Read the\n [Developer guide](https://developers.google.com/protocol-buffers/docs/overview) \n\n for details.\n\n2. Compile your protocol buffers by using the\n [`protoc` compiler](https://developers.google.com/protocol-buffers/docs/pythontutorial#compiling-your-protocol-buffers)\n for your language. For example:\n\n protoc\n --proto_path=. \\\n --include_imports \\\n --include_source_info \\\n --descriptor_set_out=api_descriptor.pb \\\n bookstore.proto\n\n In the preceding command, `--proto_path` is set to the current working\n directory. In your gRPC build environment, if you use a different directory\n for `.proto` input files, change `--proto_path` so the compiler searches the\n directory where you saved your `.proto` file.\n\n If the `protoc` command to generate your descriptor file fails, make sure that:\n - Your `protoc` version is up-to-date.\n - You specified the `--proto_path` or its short form `-I` for the root directories for imported `.proto` files. You can find out more in the [protocol buffers documentation](https://developers.google.com/protocol-buffers/docs/proto3#generating).\n - You specified `--include_imports`.\n\n If you want your clients to access your gRPC service by using\n HTTP with JSON, you need to specify how data is translated from\n HTTP with JSON to gRPC. We recommend that you annotate the APIs defined in\n your `.proto` file. Read\n [Transcoding HTTP/JSON to gRPC](/endpoints/docs/grpc/transcoding)\n for more information.\n\nConfiguring the gRPC service configuration file\n-----------------------------------------------\n\nYou need to create a gRPC service configuration YAML file. You specify the name\nof the service and usage restrictions, such as requiring an API key in this file.\nYou can use the `api_config.yaml` file from the Bookstore sample as a model.\n\n1. Save a copy of\n [`api_config.yaml`](https://raw.githubusercontent.com/GoogleCloudPlatform/python-docs-samples/master/endpoints/bookstore-grpc/api_config.yaml).\n\n2. Enter the name of your service in the `name` field. For example:\n\n name: bookstore.endpoints.example-project-12345.cloud.goog\n\n3. Enter the title that is displayed on the **Endpoints** \\\u003e **Services** page in\n the Google Cloud console. For example:\n\n title: Bookstore gRPC API\n\n4. Enter the API name in the `apis:name` field. The text that you enter must\n exactly match the fully-qualified API name from your `.proto` file. For\n example:\n\n ```\n apis:\n - name: endpoints.examples.bookstore.Bookstore\n ```\n5. Configure the rest of the file. For example:\n\n #\n # API usage restrictions.\n #\n usage:\n rules:\n # ListShelves methods can be called without an API Key.\n - selector: endpoints.examples.bookstore.Bookstore.ListShelves\n allow_unregistered_calls: true\n\n Read [Rules and selectors](/endpoints/docs/grpc/grpc-service-config#rules_and_selectors)\n for more information.\n\nWhat's next\n-----------\n\n- [Deploying the Endpoints configuration](/endpoints/docs/grpc/deploy-endpoints-config)\n- [Deploying the API backend](/endpoints/docs/grpc/deploy-api-backend)\n- [Configuring authentication](/endpoints/docs/grpc/authentication-method)\n\nAdditional gRPC samples\n-----------------------\n\n- [Java version of the Bookstore sample](https://github.com/GoogleCloudPlatform/java-docs-samples/tree/master/endpoints/bookstore-grpc).\n- The `getting-started-grpc` sample is available on GitHub in the following\n languages:\n\n - [Java](https://github.com/GoogleCloudPlatform/java-docs-samples/tree/master/endpoints/getting-started-grpc)\n - [Python](https://github.com/GoogleCloudPlatform/python-docs-samples/tree/master/endpoints/getting-started-grpc)\n - [Ruby](https://github.com/GoogleCloudPlatform/ruby-docs-samples/tree/master/endpoints/getting-started-grpc)\n - [Go](https://github.com/GoogleCloudPlatform/golang-samples/tree/master/endpoints/getting-started-grpc)\n - [Node.js](https://github.com/GoogleCloudPlatform/nodejs-docs-samples/tree/master/endpoints/getting-started-grpc)"]]