Hive CLI (Command Line Interface)
You can perform schema-registry actions on your Hive targets schemas using the Hive CLI.
Installation
NodeJS
If you are running a JavaScript/NodeJS project, you can install Hive CLI from the npm registry:
npm i -D @graphql-hive/cliWe recommend installing Hive CLI as part of your project, under devDependencies, instead of
using a global installation.
Binary
If you are running a non-JavaScript project, you can download the prebuilt binary of Hive CLI using the following command:
curl -sSL https://graphql-hive.com/install.sh | shSpecific version
You can also download a specific version of the binary:
curl -sSL https://graphql-hive.com/install.sh | sh -s "0.31.0"
# or
curl -sSL https://graphql-hive.com/install.sh | HIVE_CLI_VERSION="0.31.0" sh
# or
export HIVE_CLI_VERSION="0.31.0"
curl -sSL https://graphql-hive.com/install.sh | shUsage
Publish a schema
This CLI command requires an active registry token with Read & Write permissions to the target.
We recommend publishing the schema from your CI/CD pipeline. You can find more information in out CI/CD Integration guide.
Start by setting your Hive token in
hive.json
file, or set it as HIVE_TOKEN environment variable.
Further reading:
Single Schema Project
If you have a single file for your GraphQL schema:
hive schema:publish schema.graphqlOr, multiple files using a glob expression:
hive schema:publish "src/*.graphql"Further reading:
Apollo Federation / Schema-Stitching projects
hive schema:publish --service reviews --url http://my-service.com/graphql schema.graphqlFurther reading:
Hive Metadata
If your GraphQL schema runtime requires any metadata to run, you can attach metadata to your schema
publication. Hive metadata published to Hive must be a valid JSON, and limited to 25MB.
To attach metadata to your published schema, you can use --metadata flag when publishing.
You can load the metadata from a file:
hive schema:publish schema.graphql --metadata metadata.jsonOr, use an inline JSON passed as a string:
hive schema:publish schema.graphql --metadata '{ "someData": true }'Further reading:
Check a schema
This CLI command requires an active registry token with Read permissions to the target.
Start by setting your Hive token in
hive.json
file, or set it as HIVE_TOKEN environment variable.
Checking a GraphQL schema is the form of checking the compatbility of an upcoming schema, compared to the latest published version.
This process of checking a schema needs to be done before publishing a new schema version. This is usually done as part of a CI/CD pipeline, and as part of Pull Request flow.
Hive CLI will give you a list of all changes, sorted by criticality level (Breaking, Dangerous, Safe) and fail the check once breaking change is detected.
hive schema:check schema.graphqlOr, multiple files using a glob expression:
hive schema:check "src/*.graphql"If you want to leverage from retaining approved breaking changes within the lifecyle of a pull/merge
request or branch, you must provide the --contextId parameter. Using --contextId is optional
when using GitHub repositories and actions with the --github flag.
hive schema:check --contextId "pr-123" "src/*.graphql"Further reading:
Delete a schema
This CLI command requires an active registry token with Read & Write permissions to the target and the project.
This action is only available for Schema-Stitching and Apollo Federation projects.
Start by setting your Hive token in
hive.json
file, or set it as HIVE_TOKEN environment variable.
In case you want to compose a schema (or a subgraph in case of Federation), you can do so by using
the hive schema:delete command.
hive schema:delete SERVICE_NAMEYou can also use --dryRun flag first to see what effect the command will have on the registry.
In case you want to confirm deletion of the service without typing anything in the terminal, use
--confirm flag.
Develop schema locally
When developing subgraphs locally, you might want to compose a supergraph with your local subgraph
changes. GraphQL Hive helps you to do that with the hive dev command.
Remote mode
This CLI command requires an active registry token with Read permissions to the target and the project, to preform a composition according to your project configuration.
This mode enables you to replace the subgraph(s) available in the Registry with your local subgraph(s) and compose a Supergraph.
Rather than uploading your local schema to the registry and retrieving the supergraph from the CDN, you can integrate your local modifications directly into the supergraph.
The result of executing this command is a file containing the Supergraph SDL, which can be feed into the gateway.
# Introspect the SDL of the local service
hive dev --remote --service reviews --url http://localhost:3001/graphql
# Watch mode
hive dev --remote --watch --service reviews --url http://localhost:3001/graphql
# Provide the SDL of the local service
hive dev --remote --service reviews --url http://localhost:3001/graphql --schema reviews.graphql
# or with multiple services
hive dev \
--remote \
--service reviews --url http://localhost:3001/graphql \
--service products --url http://localhost:3002/graphql --schema products.graphql
# Custom output file (default: supergraph.graphql)
hive dev --remote --service reviews --url http://localhost:3001/graphql --write local-supergraph.graphqlUsage example
Let’s say you have two subgraphs, reviews and products, and you want to test the reviews
service.
First, you need to start the reviews service locally and then run the following command:
hive dev --remote --watch --service reviews --url http://localhost:3001/graphqlThis command will fetch subgraph’s schema from the provided URL, replace the original reviews
subgraph from the Registry with the local one, and compose a supergraph. The outcome will be saved
in the supergraph.graphql file.
The products subgraph will stay untoched, meaing that the gateway will route requests to its
remote endpoint.
The
--watchflag will keep the process running and update the supergraph whenever the local schema changes.
Now you’re ready to use the supergraph.graphql file in your gateway and execute queries.
This mode enables you to compose a Supergraph with your local subgraph(s).
Rather than uploading your local schema to the registry and retrieving the supergraph from the CDN, you can integrate your local modifications directly into the supergraph.
The result of executing this command is a file containing the Supergraph SDL, which can be feed into the gateway.
# Introspect the SDL of the local service
hive dev --service reviews --url http://localhost:3001/graphql
# Watch mode
hive dev --watch --service reviews --url http://localhost:3001/graphql
# Provide the SDL of the local service
hive dev --service reviews --url http://localhost:3001/graphql --schema reviews.graphql
# or with multiple services
hive dev \
--service reviews --url http://localhost:3001/graphql \
--service products --url http://localhost:3002/graphql --schema products.graphql
# Custom output file (default: supergraph.graphql)
hive dev --service reviews --url http://localhost:3001/graphql --write local-supergraph.graphqlUsage example
Let’s say you have two subgraphs, reviews and products, and you want to test the reviews
service.
First, you need to start the reviews service locally and then run the following command:
hive dev --watch --service reviews --url http://localhost:3001/graphqlThis command will fetch subgraph’s schema from the provided URL and compose a supergraph. The
outcome will be saved in the supergraph.graphql file.
The products subgraph will be omitted from the supergraph.
The
--watchflag will keep the process running and update the supergraph whenever the local schema changes.
Now you’re ready to use the supergraph.graphql file in your gateway and execute queries.
Git Metadata
If you are running hive command line in a directory that has a Git repository configured (.git),
then Hive will be able to automatically detect and extract the values for --author and --commit,
in order to tag schemas published using the schema:publish or schema:check command.
You may override these values by passing the --author and --commit flags to the CLI.
If your project does not have a Git repository configured with a user name and email, you are
required to pass the --author and --commit flags to the CLI.
If you need to change the way Git identifies your author property, you may use the following
commands:
git config --global user.name "John Doe"
git config --global user.email "john@doe.org"Fetch a schema from the Registry
Sometimes it is useful to fetch a schema (SDL or Supergraph) from Hive, for example, to use it in a
local development. This can be done using the schema:fetch command.
Don’t confuse this with the high-availability CDN. This command is used to fetch a schema from the API where the CDN always represents the latest valid schema.
You can fetch a schema by using the action id (commit sha) that was used for publishing the schema
version. The --write option can be used for writing the schema to a file.
hive schema:fetch --type sdl --write schema.graphql feb8aa9ec8932ebFor projects with a supergraph it is also possible to fetch the supergraph.
hive schema:fetch --type supergraph --write supergraph.graphql feb8aa9ec8932ebFor more information please refer to the CLI readme.
Fetch a schema from CDN
You can fetch the GraphQL schema from the CDN using the artifact:fetch command.
You can learn how to create a CDN access token in the High-Availability CDN documentation.
hive artifact:fetch --artifact sdl --cdn.endpoint VALUE --cdn.accessToken VALUEFor more information please refer to the CLI readme.
CLI and GitHub Integration
If GitHub Integration is enabled for your organization, and
the
GitHub integration has access to the GitHub repository,
you may specify an additional --github flag to report the results back to GitHub as Check Suite
(for schema:check and schema:publish commands) when running the Hive CLI from within a GitHub
action:
hive schema:publish schema.graphql --githubhive schema:check schema.graphql --githubCheck our CI/CD Integration guide for more information and GitHub workflow examples.
API Reference
List of all available CLI commands and their options can be found here