This page describes the configuration files needed to create a gRPC service that will be managed by Cloud Endpoints.
As a starting point, this page assumes that you have:
- A Google Cloud Platform (GCP) project.
- Basic knowledge of configuring a gRPC API Service.
- Installed gRPC and the gRPC tools. See Get started with gRPC for details.
Choosing the service nameCloud Endpoints uses the name you configure in your gRPC API configuration YAML file as the name of your service.
The name of your API service must be unique on GCP. Because Cloud Endpoints uses DNS-compatible names to identify services, we recommend that you use your API's domain name or subdomain name as the service name. With this approach, the service name that appears in the Endpoints dashboard matches the name used in requests to your API.
You can either register your own domain (for example
you can use a domain managed by Google.
Using a domain managed by GoogleGoogle owns and manages the
cloud.googdomain. If you want to use a domain managed by Google, you must use your GCP project ID as part of the service name. Because GCP Console projects are guaranteed to have a globally unique project ID, this requirement ensures that you have a unique service name. If you want to use the
cloud.googdomain, the service name must be in the format:
To use this as the API's domain name, see Configuring DNS on the cloud.goog domain.
Using a custom domain
If you don't want to use a domain managed by Google, you can use a custom domain
myapi.mycompany.com) that you are authorized to use.
Before you deploy the API configuration, follow the steps in
Verify ownership of the domain.
Configuring the protocol buffer
.protofile for your service. See the Developer Guide in the gRPC Documentation for details.
Compile your protocol buffers using the protoc compiler for your language. For example:
protoc --proto_path=. \ --include_imports \ --include_source_info \ --descriptor_set_out=api_descriptor.pb \ bookstore.proto
In the above command,
--proto_path is set to the current working directory.
In your gRPC build environment, if you use a different directory for
input files, change
--proto_path so the compiler searches the directory where
you saved your
protoc command to generate your descriptor file fails, make sure that:
protocversion is up-to-date.
- You specified the
--proto_pathor its short form
-Ifor the root directories for imported
.protofiles. You can find out more in the protocol buffers documentation.
- You specified
If you want your clients to be able to access your gRPC service using
HTTP with JSON, you will need to specify how data should be translated from
HTTP/JSON to gRPC. We recommend that you annotate the APIs defined in
.proto file. See
Transcoding HTTP/JSON to gRPC
for more information.
Configuring the gRPC service configuration file
You need to create a gRPC service configuration YAML file. You specify the name
of the service and usage restrictions such as requiring an API key in this file.
You can use the
api_config.yaml file from the Bookstore sample as a model.
Save a copy of
Enter the name of your service in the
namefield. For example:
Enter the title that will be displayed in the Endpoints dashboard. For example:
title: Bookstore gRPC API
Enter the API name in the
apis:namefield. The text that you enter must exactly match the fully-qualified API name from your
.protofile; otherwise deploying the Endpoints configuration won't work. For example:
apis: - name: endpoints.examples.bookstore.Bookstore
Configure the rest of the file. For example:
# # API usage restrictions. # usage: rules: # ListShelves methods can be called without an API Key. - selector: endpoints.examples.bookstore.Bookstore.ListShelves allow_unregistered_calls: true
See Rules and selectors for more information.