When it comes to performance and scalability, Vert.x has always been hard to beat and version 3 just made it much easier to develop and deploy.
This simple application is used to demonstrate:
- that Java CompletableFuture, Vert.x Futures and RxJava can be easily combined
- that Vert.x micro-services are easy to develop and deploy through Docker containers
The goal of this application is to exercise graphql-java async (non-blocking) with Vert.x.
In addition it also uses:
- graphql-apigen - to facilitate the graphql schema generation
- vertx-dataloader - to ensure a consistent API data fetching between the different resources
.---------. .-----------.
POST /graphql --> | GraphQL | | Customer |
| Service | ----> | Service |
'---------' | '-----------'
| .-----------.
| | Vehicle |
|-> | Service |
| '-----------'
| .-----------.
| | Rental |
'-> | Service |
'-----------'
graphql-java-async
is not out yet. In order to build this project you need to:
graphql-java
- Checkout and build Dmitry's async branchgraphql-apigen
- Checkout and build the eb_graphql branch of my fork of Distelli/graphql-apigen
After building the async branches of both graphql-java and graphql-apigen do:
mvn clean package
./docker/run.sh
The graphql-service exposes a POST endpoint. You can use CURL but it is recommended to use Graphiql App.
Sample queries to use on a POST to http://localhost:8080/graphql.
{
rental(id: 1) {
id
customer {
id
name
address
city
state
country
contact {
phone
type
}
}
vehicle {
id
brand
model
type
year
mileage
extras
}
}
}
{
rentals {
id
customer {
id
name
address
city
state
country
contact {
phone
type
}
}
vehicle {
id
brand
model
type
year
mileage
extras
}
}
}
curl -k -X POST -d '{ "operationName": null, "query": "{ rentals { customer { name } vehicle { brand model } } }", "variables": "{}" }' http://localhost:8080/graphql