graphql-schema-registry

Graphql schema storage as dockerized on-premise service for federated graphql gateway server (based on apollo server) as alternative to Apollo studio and The Guild's Hive

Features

• Stores versioned schema for graphql-federated services
• Serves supergraph schema for graphql gateway based on provided services & their versions
• Validates new schema to be compatible with other running services
• Provides UI for developers to see stored schema & its history diff
• Stores service urls emulating managed federation: you no longer need to hardcode the services in your gateway's constructor, or rely on an additonal service (etcd, consul) for service discovery
• Does async schema usage analysis to minimize breaking changes from reaching production
• Publishes schema registration events to minimize supergraph update time
• Stores & shows in UI automatic persisted queries (passed by the gateway) for better visibility

Oct-11-2022.02-28-28.mp4

Installation

With default settings, UI should be accessible at http://localhost:6001

On bare host

git clone https://github.com/pipedrive/graphql-schema-registry.git && cd graphql-schema-registry
cp example.env .env && nano .env
npm install && npm run build
node app/schema-registry.js

Docker image

We have docker image published for main node service. It assumes you have mysql/redis running separately. Use exact IP instead of localhost. Use exact docker image tag to avoid breaking changes.

docker pull pipedrive/graphql-schema-registry:5.0.0
docker run -e DB_HOST=localhost -e DB_USERNAME=root -e DB_PORT=6000 -p 6001:3000 pipedrive/graphql-schema-registry

Docker-compose

git clone https://github.com/pipedrive/graphql-schema-registry.git && cd graphql-schema-registry
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml up

Architecture

Components

flowchart LR
    GW[federated-gateway] == poll schema every 10 sec\n POST /schema/compose ==> SR["schema registry\n(gql-schema-registry)"] -- store schemas --> DB[("mysql 8\n(gql-schema-registry-db)")]
    SR -- cache persisted queries\nstore & query last logs --> R[("redis 6\n(gql-schema-registry-redis)")]
    SR -- publish schema change --> KF1("kafka\n(gql-schema-registry-kafka)\ngraphql-schema-updates topic") -- listen schema updates --> GW
    GW -- publish queries --> KF2("kafka\n(gql-schema-registry-kafka)\ngraphql-queries topic")
    KF2 --> QA["query analyzer\n(gql-schema-registry-worker)"]
    QA --update schema hits --> DB
    GW -- query A --> S1["service A"] -- register schema in runtime --> SR
    GW -- query B --> S2["service B"] -- register schema in runtime --> SR
    S2["service B"] -. validate schema \n on commit/cli/CI .-> SR

    style KF1 fill:#0672e6,color:white
    style KF2 fill:#0672e6,color:white
    style DB fill:#0672e6,color:white
    style R fill:#0672e6,color:white
    style SR fill:#ffe43e
    style QA fill:#ffe43e
    style GW fill:#c5f7c9
    style S1 fill:#c5f7c9
    style S2 fill:#c5f7c9

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Name	Role	Description
federated gateway	Required	Apollo server running in federated mode. You should have your own. Check examples folder how to configure it. Note however, that gateway is very simplified and does not have proper error handling, query cost limit checks or fail-safe mechanisms.
schema registry	Required	Main service that we provide
mysql	Required	Main data storage of schemas and other derivative data
query analyzer	Optional	Processes queries in async mode, required for usage tracking. Main code in /src/worker folder
kafka	Optional	Ties schema-registry and federated gateway with async messaging. Required for fast schema updates and for usage tracking
redis	Optional	Caching layer for APQs. Not used much atm

Tech stack

Frontend (/client folder)	Backend (/src folder)
react	nodejs 16
apollo client	express, hapi/joi
styled-components	apollo-server-express, dataloader
	redis 6
	knex
	mysql 8

DB structure

Migrations are done using knex

erDiagram
    services {
        id int PK
        name varchar
        is_active int
        updated_time datetime
        added_time datetime
        url varchar
    }
    clients {
        id int PK
        name varchar
        version varchar
        calls bigint
        updated_time datetime
        added_time datetime
    }
    schema {
      id int PK
      service_id int FK
      is_active tinyint
      type_defs mediumtext
      updated_time datetime
      added_time datetime
    }
    container_schema{
      id int PK
      service_id int FK
      schema_id int FK
      version varchar
      added_time datetime
    }
    persisted_queries{
      key varchar PK
      query text
      is_active int
      updated_time datetime
      added_time datetime
    }
    clients_persisted_queris_rel{
      version_id int
      pq_key varchar
    }
    schema_hit{
      client_id int
      entity varchar
      property varchar
      day date
      hits bigint
      updated_time bigint
    }

    services ||--o{ schema : defines
    schema ||--|{ container_schema : "is registered by"
    clients_persisted_queris_rel ||--|{ persisted_queries : use
    clients_persisted_queris_rel ||--|{ clients : have
    clients ||--|{ schema_hit : "use schema properties"
    schema ||..|{ schema_hit : "relates to"

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Configuration

We use environment variables for configuration. You can:

• pass them directly
• add .env file and dotenv will pick them up
• add them to docker-compose.yml or Dockerfile

The following are the different environment variables that are looked up that allow configuring the schema registry in different ways.

Variable Name	Description	Default
DB_HOST	Host name of the MySQL server	gql-schema-registry-db
DB_USERNAME	Username to connect to MySQL	root
DB_SECRET	Password used to connect to MySQL	root
DB_PORT	Port used when connecting to MySQL	3306
DB_NAME	Name of the MySQL database to connect to	schema-registry
DB_EXECUTE_MIGRATIONS	Controls whether DB migrations are executed upon registry startup or not	true
REDIS_HOST	Host name of the Redis server	gql-schema-registry-redis
REDIS_PORT	Port used when connecting to Redis	6379
REDIS_SECRET	Password used to connect to Redis	Empty
ASSETS_URL	Controls the url that web assets are served from	localhost:6001
NODE_ENV	Specifies the environment. Use production to load js/css from dist/assets	Empty
ASYNC_SCHEMA_UPDATES	Specifies if async achema updates is enabled	false
KAFKA_BROKER_HOST	Host name of the Kafka broker, used if ASYNC_SCHEMA_UPDATES = true	gql-schema-registry-kafka
KAFKA_BROKER_PORT	Port used when connecting to Kafka, used if ASYNC_SCHEMA_UPDATES = true	9092
KAFKA_SCHEMA_TOPIC	Topic with new schema	graphql-schema-updates
KAFKA_QUERIES_TOPIC	Topic with new schema	graphql-queries
LOG_LEVEL	Minimum level of logs to output	info
LOG_TYPE	Output log type, supports pretty or json.	pretty

For development we rely on docker network and use hostnames from docker-compose.yml. Node service uses to connect to mysql & redis and change it if you install it with own setup. For dynamic service discovery (if you need multiple hosts for scaling), override app/config.js and diplomat.js

Use cases / FAQ

When/now do I register schema?

On service start-up (runtime), make POST to /schema/push to register schema (see API reference for details). Make sure to handle failure.

See example for nodejs/ESM.

How do I register schema that is being developed?

Usually in production, POST /schema/push requires unique version that should be unique git or docker hash. But, if you are developing a service and you run schema-registry locally, you can set version: "latest" to skip this version check.

Do I need to deregister services?

• if your gateway uses /schema/compose then no, schema is composed based on services you see as healthy
• if your gateway uses /schema/latest then yes, service has is_active flag in DB that you can manually toggle (no API yet)

When do I need to validate schema?

On pre-commit / deploy make a POST /schema/validate to see if its compatible with current schema. If you have multiple regions or environments (test), makes sense to check all.

How do I migrate schema between services?

If service A contains schema that needs to be migrated to service B with close to 0 downtime, you will need to orchestrate schema & traffic change. Instead of juggling with schema status flags, we suggest the following scenario:

sequenceDiagram
    participant service_A
    participant service_B
    participant schemaRegistry

    loop Every 5 sec
       service_B->>+schemaRegistry: register schema B + A1
       schemaRegistry->>-service_B: validation error, A1 is registered to service A
    end

    service_A->>+schemaRegistry: remove schema A1
    schemaRegistry->>-service_A: ok

    service_B->>+schemaRegistry: register schema B + A1
    schemaRegistry->>-service_B: ok, A1 is registered to service B, stop retries

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Development

Dockerized mode

nvm use
npm install
npm run build
docker-compose  -f docker-compose.base.yml  -f docker-compose.dev.yml up

Running in light mode

To have fast iteration of working on UI changes, you can avoid running node service in docker, and run only mysql & redis

docker-compose -f docker-compose.base.yml up -d
npm run develop
npm run develop-worker

DB migrations

To create new DB migration, use:

npm run new-db-migration

If not using the default configuration of executing DB migrations on service startup, you can run the following npm command prior to starting the registry:

npm run migrate-db

The command can be prefixed with any environment variable necessary to configure DB connection (in case you ALTER DB with another user), such as:

DB_HOST=my-db-host DB_PORT=6000 npm run migrate-db

Testing

Unit tests

use jest, coverage is quite low as most logic is in db or libraries.

npm run test

Functional tests

require docker, mostly blackbox type - real http requests are done against containers. DB tables are truncated after every test from within test/functional/bootstrap.js Jest runs in single worker mode to avoid tests from affecting each other due to same state.

#docker-compose -f docker-compose.light.yml up -d
#npm run develop

npm run test-functional

Performance tests

use k6 + dockerized setup similar to functional tests above + grafana and influxdb for reporting the load these tests are intended just to show/detect avg latencies of most important endpoints

docker-compose -f docker-compose.perf-tests.yml up
open http://localhost:8087/dashboard/import
// Add "2587" to ID, pick influxdb datasource, import dashboard and observe it when you run tests

docker-compose -f docker-compose.perf-tests.yml run --rm k6 run /scripts/schema-latest.test.js

Testing Dockerimage build

If you change build process in Dockerfile or Dockerfile.CI, consider checking also testing it

# run db
docker-compose -f docker-compose.light.yml up

#build local image
docker build -t local/graphql-schema-registry .

# try to run it
docker run -e DB_HOST=$(ipconfig getifaddr en0) -e DB_USERNAME=root -e DB_PORT=6000 -p 6001:3000 local/graphql-schema-registry

Security & compliance

• There is not strict process on finding or updating vulnerabilitites. The license also states there there is no Liability or Warranty, so be aware of that
• You can use Slack or Github discussions / issues as a communication channel to notify about vulnerabilities.
• We use snyk in PR checks. We try to look at npm audit reports manually on PR creation to minimize issues.
• We intentionally use strict versioning of nodejs dependencies which prevents automatic dependabot PRs. Thus version upgrades are manual. Why? Because sometimes we saw external dependencies rolling out breaking changes in minor/patch versions which broke our master. Same thing with hacked libraries.

Contribution

• Commit often (instead of making huge commits)
• Add verb at the beginning of commit message
• Add why you're doing something in commit message
• Reference issues
• When making a pull request, be sure to follow the format of what is the problem you're fixing, what was changed & how to test it. Screenshots/videos are a welcome
• Fill CHANGELOG
• To avoid vulnerabilities, please use fixed versions in package.json

Authors and acknowledgment

Current maintainer - @tot-ra. Mention in PR, if it is stuck

Original internal mission that resulted in this project going live:

• aleksandergasna
• ErikSchults
• LexSwed

See main blog post

Rest API documentation

🟢 GET /health

returns "ok" when service is up

🟢 GET /schema/latest

Simplified version of /schema/compose where latest versions from different services are composed. Some services prefer this to use this natural schema composition, as its natural and time-based.

🟡 POST /schema/compose

Advanced version of schema composition, where you need to provide services & their versions. Used by graphql gateway to fetch schema based on currently running containers.

The advantage over time-based composition is that versioned composition allows to automatically update federated schema when you deploy older version of the pod in case of some incident. If you deploy older pods they can ofc try to register old schema again, but as it already exists in schema-registry, it will not be considered as "latest".

Request params (optional, raw body)

{
  "services": [
    { "name": "service_a", "version": "ke9j34fuuei" },
    { "name": "service_b", "version": "e302fj38fj3" }
  ]
}

Response example

• ❌ 400 "services[0].version" must be a string
• ❌ 500 Internal error (DB is down)
• ✅ 200

{
  "success": true,
  "data": [
    {
      "id": 2,
      "service_id": 3,
      "version": "ke9j34fuuei",
      "name": "service_a",
      "url": "http://localhost:6111",
      "added_time": "2020-12-11T11:59:40.000Z",
      "type_defs": "\n\ttype Query {\n\t\thello: String\n\t}\n",
      "is_active": 1
    },
    {
      "id": 3,
      "service_id": 4,
      "version": "v1",
      "name": "service_b",
      "url": "http://localhost:6112",
      "added_time": "2020-12-14T18:51:04.000Z",
      "type_defs": "type Query {\n  world: String\n}\n",
      "is_active": 1
    }
  ]
}

Request params

• services{ name, version}

If services is not passed, schema-registry tries to find most recent versions. Logic behind the scenes is that schema with highest added_time OR updated_time is picked as latest. If time is the same, schema.id is used.

🟡 POST /schema/push

Validates and registers new schema for a service.

Request params (optional, raw body)

{
  "name": "service_a",
  "version": "ke9j34fuuei",
  "type_defs": "\n\ttype Query {\n\t\thello: String\n\t}\n"
}

URL is optional if you use urls from schema-registry as service discovery

{
  "name": "service_b",
  "version": "jiaj51fu91k",
  "type_defs": "\n\ttype Query {\n\t\tworld: String\n\t}\n",
  "url": "http://service-b.develop.svc.cluster.local"
}

• ❌ 400 "You should not register different type_defs with same version."

🟡 POST /schema/validate

Validates schema, without adding to DB

Request params (raw body)

• name
• version
• type_defs

🟡 POST /schema/diff

Compares schemas and finds breaking or dangerous changes between provided and latest schemas.

• name
• version
• type_defs

🔴 DELETE /schema/:schemaId

Deletes specified schema

Request params

Property	Type	Comments
schemaId	number	ID of sechema

🔴 DELETE /service/:name

Deletes specified service including all schemas registered for that service

Request params

Property	Type	Comments
name	string	name of service

🟢 GET /persisted_query

Looks up persisted query from DB & caches it in redis if its found

Request params (query)

Property	Type	Comments
key	string	hash of APQ (with apq: prefix)

🟡 POST /persisted_query

Adds persisted query to DB & redis cache

Request params (raw body)

Property	Type	Comments
key	string	hash of APQ (with apq: prefix)
value	string	Graphql query