Go to file
Vikram Rangnekar c49be85719 Fix image build failure on docker hub 2019-03-28 00:37:39 -04:00
example First commit 2019-03-24 09:57:29 -04:00
psql Fix bugs and document the 'where' clause 2019-03-27 02:58:19 -04:00
qcode Fix bugs and document the 'where' clause 2019-03-27 02:58:19 -04:00
serv Pack web UI with app into a single binary 2019-03-27 22:01:02 -04:00
util First commit 2019-03-24 09:57:29 -04:00
web First commit 2019-03-24 09:57:29 -04:00
.dockerignore First commit 2019-03-24 09:57:29 -04:00
.gitignore Pack web UI with app into a single binary 2019-03-27 22:01:02 -04:00
Dockerfile Fix image build failure on docker hub 2019-03-28 00:37:39 -04:00
LICENSE Fix license to MIT 2019-03-24 10:07:07 -04:00
README.md Fix bugs and document the 'where' clause 2019-03-27 02:58:19 -04:00
dev.yml Add tests for gql to sql compile 2019-03-24 18:16:03 -04:00
docker-compose.image.yml Optimize docker image 2019-03-27 00:14:07 -04:00
docker-compose.yml Pack web UI with app into a single binary 2019-03-27 22:01:02 -04:00
fresh.conf First commit 2019-03-24 09:57:29 -04:00
go.mod Pack web UI with app into a single binary 2019-03-27 22:01:02 -04:00
go.sum Pack web UI with app into a single binary 2019-03-27 22:01:02 -04:00
main.go First commit 2019-03-24 09:57:29 -04:00
prod.yml Add tests for gql to sql compile 2019-03-24 18:16:03 -04:00

README.md

Super Graph

Instant GraphQL API for Rails. Zero code.

Get an high-performance GraphQL API for your Rails app in seconds. Super Graph will auto learn your database structure and relationships. Built in support for Rails authentication and JWT tokens.

Back story and motivation

I have a Rails app that gets a bit of traffic. Having planned to improve the UI using React or Vue I found that my current APIs didn't have the data I needed and I was too lazy to build new endpoints. My controllers were esentially wrappers around database queries and I didn't enjoy having to figure out new REST APIs with paths, names and methods to fetch all this new data or write the active record code needed.

I always liked GraphQL and how simple it makes things for web devs. On the backend however GraphQL seemed overly complex as it still required me to write a lot of the same database query code. I wanted a GraphQL server that just worked the second you deployed it without having to write a line of code.

And so after a lot of coffee and some avocado toasts we now have Super Graph, an instant GraphQL API that is high performance and quick to deploy. One service to rule all your database querying needs.

Features

  • Support for Rails database conventions
  • Belongs-To, One-To-Many and Many-To-Many table relationships
  • Devise, Warden encrypted and signed session cookies
  • Redis, Memcache and Cookie session stores
  • Generates highly optimized Postgres SQL queries
  • Customize through a simple config file
  • High performance GO codebase
  • Tiny docker image and low memory requirements

GraphQL (GQL)

We currently support the query action which is used for fetching data. Support for mutation and subscriptions is currently work in progress. For example the below query fetches two products that belong to the current user where the price is greater than 10

GQL Query

query { 
  users {
    id
    email
    picture : avatar
    password
    full_name
    products(limit: 2, where: { price: { gt: 10 } }) {
      id
      name
      description
      price
    }
  }
}

The above GQL query returns the JSON result below. It handles all kinds of complexity without you writing a line of code. For example there is a while greater than gt and a limit clause on a child field. And the avatar field is renamed to picture. The password field is blocked and not returned. Finally the relationship between the users table and the products table is auto discovered and used.

JSON Result

{
  "data": {
    "users": [
      {
        "id": 1,
        "email": "odilia@west.info",
        "picture": "https://robohash.org/simur.png?size=300x300",
        "full_name": "Edwin Orn",
        "products": [
          {
            "id": 16,
            "name": "Sierra Nevada Style Ale",
            "description": "Belgian Abbey, 92 IBU, 4.7%, 17.4°Blg",
            "price": 16.47
          },
          ...
        ]
      }
    ]
  }
}

Try it out

$ docker-compose run web rake db:create db:migrate db:seed
$ docker-compose -f docker-compose.image.yml up
$ open http://localhost:8080

The above command will download the latest docker image for Super Graph and use it to run an example that includes a Postgres DB and a simple Rails ecommerce store app. If you want to build and run Super Graph from code then use the following command instead docker-compose up

How to try with an authenticated user

In development mode you can use the X-User-ID: 4 header to set a user id so you don't have to worries about cookies etc. This can be set using the HTTP Headers tab at the bottom of the web UI you'll see when you visit the above link. You can also directly run quries from the commandline like shown below.

Querying the GQL endpoint

curl 'http://localhost:8080/api/v1/graphql' \
  -H 'content-type: application/json' \
  -H 'X-User-ID: 5' \
  --data-binary '{"query":"{ products { name price users { email }}}"}'

How to GraphQL

GraphQL / GQL is a simple query syntax that is fast replacing REST APIs. GQL is great since it allows web developers to fetch the exact data that they need without depending on changes to backend code. Also if you squint hard enough it looks a little bit like JSON :)

The below query will fetch a users name, email and avatar image renamed as picture. If you also need the users id then just add it to the query.

query {
  user {
    full_name
    email
    picture : avatar
  }
}

Super Graph support complex quries where you can add filters, ordering, offsets and limits on the query.

Logical Operators

Name Example Explained
and price : { and : { gt: 10.5, lt: 20 } price > 10.5 AND price < 20
or or : { price : { greater_than : 20 }, quantity: { gt : 0 } } price >= 20 OR quantity > 0
not not: { or : { quantity : { eq: 0 }, price : { eq: 0 } } } NOT (quantity = 0 OR price = 0)

Other conditions

Name Example Explained
eq, equals id : { eq: 100 } id = 100
neq, not_equals id: { not_equals: 100 } id != 100
gt, greater_than id: { gt: 100 } id > 100
lt, lesser_than id: { gt: 100 } id < 100
gte, greater_or_equals id: { gte: 100 } id >= 100
lte, lesser_or_equals id: { lesser_or_equals: 100 } id <= 100
in status: { in: [ "A", "B", "C" ] } status IN ('A', 'B', 'C)
nin, not_in status: { in: [ "A", "B", "C" ] } status IN ('A', 'B', 'C)
like name: { like "phil%" } Names starting with 'phil'
nlike, not_like name: { nlike "v%m" } Not names starting with 'v' and ending with 'm'
ilike name: { ilike "%wOn" } Names ending with 'won' case-insensitive
nilike, not_ilike name: { nilike "%wOn" } Not names ending with 'won' case-insensitive
similar name: { similar: "%(b|d)%" } Similar Docs
nsimilar, not_similar name: { nsimilar: "%(b|d)%" } Not Similar Docs
has_key column: { has_key: 'b' } Does JSON column contain this key
has_key_any column: { has_key_any: [ a, b ] } Does JSON column contain any of these keys
has_key_all column: [ a, b ] Does JSON column contain all of this keys
contains column: { contains: [1, 2, 4] } Is this array/json column a subset of value
contained_in column: { contains: "{'a':1, 'b':2}" } Is this array/json column a subset of these value
is_null column: { is_null: true } Is column value null or not
query {
  products(
    # returns only 30 items
    limit: 30,

    # starts from item 10, commented out for now
    # offset: 10,

    # orders the response items by highest price
    order_by: { price: desc },

    # no duplicate prices returned
    distinct: [ price ]
    
    # only items with an id >= 30 and < 30 are returned
    where: { id: { and: { greater_or_equals: 20, lt: 28 } } }) {
    id
    name
    price
  }
}

Web UI for web developers

Super Graph Web UI

Configuration

Config files can either be in YAML or JSON their names are derived from the GO_ENV variable, for example GO_ENV=prod will cause the prod.yaml config file to be used. or GO_ENV=dev will use the dev.yaml. A path to the config files can be specified using the -path <folder> command line argument.

host_port: 0.0.0.0:8080
web_ui: true
debug_level: 1

# When to throw a 401 on auth failure 
# valid values: always, per_query, never
auth_fail_block: never

# Postgres related enviroment Variables
# SG_DATABASE_HOST
# SG_DATABASE_PORT
# SG_DATABASE_USER
# SG_DATABASE_PASSWORD

# Auth related enviroment Variables
# SG_AUTH_SECRET_KEY_BASE
# SG_AUTH_PUBLIC_KEY_FILE
# SG_AUTH_URL
# SG_AUTH_PASSWORD

# inflections:
#   person: people
#   sheep: sheep

auth:
  type: header
  field_name: X-User-ID

# auth:
#   type: rails
#   cookie: _app_session
#   store: cookie
#   secret_key_base: caf335bfcfdb04e50db5bb0a4d67ab9...

# auth:
#   type: rails
#   cookie: _app_session
#   store: memcache
#   host: 127.0.0.1

# auth:
#   type: rails
#   cookie: _app_session
#   store: redis
#   max_idle: 80,
#   max_active: 12000,
#   url: redis://127.0.0.1:6379
#   password: ""

# auth:
#   type: jwt
#   cookie: _app_session
#   secret: abc335bfcfdb04e50db5bb0a4d67ab9
#   public_key_file: abc335bfcfdb04e50db5bb0a4d67ab9
#   public_key_type: ecdsa #rsa

database:
  type: postgres
  host: db
  port: 5432
  dbname: app_development
  user: postgres
  password: ''
  #pool_size: 10
  #max_retries: 0
  #log_level: "debug" 

  # Define variables here that you want to use in filters 
  variables:
    account_id: "select account_id from users where id = $user_id"

  # Used to add access to tables 
  filters:
    users: "{ id: { _eq: $user_id } }"
    posts: "{ account_id: { _eq: $account_id } }"

  # Fields and table names that you wish to block
  blacklist:
    - secret
    - password
    - encrypted
    - token

If deploying into enviroments like Kubernetes it's useful to be able to configure things like secrets and hosts though enviroment variables so we expose the following. This is escpecially useful for secrets since they are usually injected in via a secrets management framework ie. Kubernetes Secrets

SG_DATABASE_HOST
SG_DATABASE_PORT
SG_DATABASE_USER
SG_DATABASE_PASSWORD
SG_AUTH_SECRET_KEY_BASE
SG_AUTH_PUBLIC_KEY_FILE
SG_AUTH_URL
SG_AUTH_PASSWORD

Deployment

How do I deploy the Super Graph service with my existing rails app? You have several options here. Esentially you need to ensure your app's session cookie will be passed to this service.

Deploy under a subdomain

For this to work you have to ensure that the option :domain => :all is added to your rails app config Application.config.session_store this will cause your rails app to create session cookies that can be shared with sub-domains. More info here http://excid3.com/blog/sharing-a-devise-user-session-across-subdomains-with-rails-3/

We have this NGINX loadbalancer

I'm sure you know how to configure it so that the graphql endpoint path is routed to wherever you have this service installed within your architecture.

On Kubernetes

If your existing rails app runs on Kubernetes then ensure you have an ingress config deployed that points the path /api/v1/graphql to the service that you have deployed Super Graph under.

We use JWT tokens like those from Auth0

In that case deploy under a subdomain and configure this service to use JWT authentication. You will need the public key file or secret key. Ensure your web app passes the JWT token with every GQL request in the Authorize header as a bearer token.

Contact me

twitter.com/dosco

License

MIT

Copyright (c) 2019-present Vikram Rangnekar