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qaware.de
Your API on Steroids
Retrofitting GraphQL by Code, Cloud Native
or Serverless
Sonja Wegner and Stefan Schmöller, QAware GmbH
Sonja Wegner
Lead Software Architect @ QAware GmbH
Stefan Schmöller
Senior Software Engineer @ QAware GmbH
Agenda
Why GraphQL?
The Developer Way: Writing a GraphQL API layer by hand
The Cloud-native Way: Using a lightweight API gateway
The Serverless Way: Using Cloud Provider native services
Conclusion and Q&A
What is it?
Query Language for APIs
and runtime to fulfill this
queries with existing data
Why do we want it?
Clients can dynamically
define the structure of
required data, which is then
returned by the server.
Over-fetching and
under-fetching are history!
Does it work?
Stay tuned :)
https://graphql.org/
Today’s Demo Use Case
■ What we will use today:
– Given: REST APIs for a conference (Sessions, Speaker, …)
– using Quarkus as Framework
– API calls have to be combined
Ask for what you want:
No more under-fetching or over-fetching
sessionId
sessionTitle
speakerLastName
sessionId
sessionTitle
firstName
lastName
currentLocation
phone
/sessions
/speakers/{speaker-id}
/schedule
Use Case 1:
● aggregate
● select only relevant attributes
● rename
Ask for what you want:
No more under-fetching or over-fetching
sessionId
sessionTitle
speakerLastName
sessionId
sessionTitle
firstName
lastName
currentLocation
phone
/full-schedule
/schedule-for-my-use-case
dateOfBirth
favoriteDish
shoeSize
Use Case 2:
● select only relevant attributes
of large API
Send your query - get your response
Send your query - get your response
The Developer Way
Writing a GraphQL API layer by hand
“The Developer Way”: Directly offering a GraphQL API using
Quarkus
■ Initial situation: two seperate APIs for sessions and speakers at the conference
■ Idea: We implement a GraphQL-Endpoint providing and combining all the information
■
GET /sessions
[{
id: 1
title: “abc”
speaker: [1,2]
…
}]
GET /sessions/{id}
…
GET /speakers
[{
id: 1
firstName: “Bill”
lastName: “Gates”
…
}]
GET /speakers/{id}
…
GET
/sessions/speaker/{id}
[{
title:
…
}]
Summary: How to provide a GraphQL endpoint with Quarkus
■ Create a resource annotated with @GraphQLApi
■ Methods annotated with @Query(value=”...”) (or @Mutation) are made available at endpoint
– If value is specified, this is the name of the query (mutation)
– Otherwise the name of the method is used (get… will be removed)
– Schema is built using the Java Objects
■ @Description can be used to add a descriptive text
■ Types can be extended using @Source in methods
– Annotated Input parameter marks the type to be extended
– Extension happens automatically
– Return type defines what to add
■ Important application paths:
– /graphql → Application endpoint for GraphQL queries (can be changed via property)
– /graphql/schema.graphql → Request current schema
– /q/graphql-ui/ → GraphiQL UI for testing requests
The Cloud Native Way
Using a lightweight API Gateway
■ API Gateways
– are already widely used for several
use cases like routing,
authentication, …
■ GraphQL API Gateways can
– provide a single schema for several
microservices
– enhance APIs of services who are
not capable of GraphQL directly
– enable clients to query a
combination of available data
without having to know about the
service architecture
GraphQL via API Gateways
Ernie
GraphQL
Service
Bert Restful
Service v1
Bert Restful
Service v2
GraphQL
API
Gateway
Demo with Tyk
■ We will setup a Graph QL API with Tyk (tyk.io)
■ Tyk offers an open source API gateway, we are
using the “self-managed” version (requires a
license), as the open source version is fairly
limited
https://tyk.io/docs/tyk-on-premises/
Schedule +
Session Service
Tyk API
Gateway
The Serverless Way
Using cloud provider native services
The AWS Way: You only write request and response templates
- everything else is handled by AppSync
Request
Template
Response
Template
A glimpse at VTL templates with AWS AppSync
#set( $myMap = {
"id": $context.arguments.id,
"meta": "stuff",
"upperMeta" : $context.arguments.meta.toUpperCase()
} )
"payload": $util.toJson($myMap)
References:
■ Resolver Mapping Template Programming Guide - AWS AppSync
■ https://learn.acloud.guru/course/intro-aws-appsync
The Client Side
Consuming a GraphQL API using Quarkus
The client side: Consuming a GraphQL service using Quarkus
■ Two different implementation variants:
– Dynamic
• Building the query with a fluent API
• Client returns a JsonObject of the GraphQL response
@Inject @GraphQLClient("ec-dynamic")
DynamicGraphQLClient client;
@GET @Path("sessions")
public Uni<JsonObject> getSessions() {
Document query = document(operation(
field("sessions",
field("startTime"),
field("title"),
field("speaker",
field("fullName")
)
)
));
return client.executeAsync(query).map(Response::getData);
}
The client side: Consuming a GraphQL service using Quarkus
■ Two different implementation variants:
– Typesafe
• Define the DTOs and let Quarkus do the rest
• DTOs are related via Query name and GraphQL schema
• Annotations can be used for name mapping
public class EngineeringCampTypesafeResource {
@Inject
EngineeringCampTypesafeClient client;
@GET @Path("sessions")
public Uni<List<Session>> getSessions() {
return client.getAllSessions();
}
}
@GraphQLClientApi(configKey = "ec-typesafe")
public interface EngineeringCampTypesafeClient {
@Query(value = "sessions")
Uni<List<Session>> getAllSessions();
}
qaware.de
QAware GmbH
Aschauer Straße 32
81549 München
Tel. +49 89 232315-0
info@qaware.de
twitter.com/qaware
linkedin.com/company/qaware-gmbh
xing.com/companies/qawaregmbh
slideshare.net/qaware
github.com/qaware
Conclusion and Q&A

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Your API on Steroids - Retrofitting GraphQL by Code, Cloud Native or Serverless

  • 1. qaware.de Your API on Steroids Retrofitting GraphQL by Code, Cloud Native or Serverless Sonja Wegner and Stefan Schmöller, QAware GmbH
  • 2. Sonja Wegner Lead Software Architect @ QAware GmbH Stefan Schmöller Senior Software Engineer @ QAware GmbH
  • 3. Agenda Why GraphQL? The Developer Way: Writing a GraphQL API layer by hand The Cloud-native Way: Using a lightweight API gateway The Serverless Way: Using Cloud Provider native services Conclusion and Q&A
  • 4. What is it? Query Language for APIs and runtime to fulfill this queries with existing data Why do we want it? Clients can dynamically define the structure of required data, which is then returned by the server. Over-fetching and under-fetching are history! Does it work? Stay tuned :) https://graphql.org/
  • 5. Today’s Demo Use Case ■ What we will use today: – Given: REST APIs for a conference (Sessions, Speaker, …) – using Quarkus as Framework – API calls have to be combined
  • 6. Ask for what you want: No more under-fetching or over-fetching sessionId sessionTitle speakerLastName sessionId sessionTitle firstName lastName currentLocation phone /sessions /speakers/{speaker-id} /schedule Use Case 1: ● aggregate ● select only relevant attributes ● rename
  • 7. Ask for what you want: No more under-fetching or over-fetching sessionId sessionTitle speakerLastName sessionId sessionTitle firstName lastName currentLocation phone /full-schedule /schedule-for-my-use-case dateOfBirth favoriteDish shoeSize Use Case 2: ● select only relevant attributes of large API
  • 8. Send your query - get your response
  • 9. Send your query - get your response
  • 10. The Developer Way Writing a GraphQL API layer by hand
  • 11. “The Developer Way”: Directly offering a GraphQL API using Quarkus ■ Initial situation: two seperate APIs for sessions and speakers at the conference ■ Idea: We implement a GraphQL-Endpoint providing and combining all the information ■ GET /sessions [{ id: 1 title: “abc” speaker: [1,2] … }] GET /sessions/{id} … GET /speakers [{ id: 1 firstName: “Bill” lastName: “Gates” … }] GET /speakers/{id} … GET /sessions/speaker/{id} [{ title: … }]
  • 12. Summary: How to provide a GraphQL endpoint with Quarkus ■ Create a resource annotated with @GraphQLApi ■ Methods annotated with @Query(value=”...”) (or @Mutation) are made available at endpoint – If value is specified, this is the name of the query (mutation) – Otherwise the name of the method is used (get… will be removed) – Schema is built using the Java Objects ■ @Description can be used to add a descriptive text ■ Types can be extended using @Source in methods – Annotated Input parameter marks the type to be extended – Extension happens automatically – Return type defines what to add ■ Important application paths: – /graphql → Application endpoint for GraphQL queries (can be changed via property) – /graphql/schema.graphql → Request current schema – /q/graphql-ui/ → GraphiQL UI for testing requests
  • 13. The Cloud Native Way Using a lightweight API Gateway
  • 14. ■ API Gateways – are already widely used for several use cases like routing, authentication, … ■ GraphQL API Gateways can – provide a single schema for several microservices – enhance APIs of services who are not capable of GraphQL directly – enable clients to query a combination of available data without having to know about the service architecture GraphQL via API Gateways Ernie GraphQL Service Bert Restful Service v1 Bert Restful Service v2 GraphQL API Gateway
  • 15. Demo with Tyk ■ We will setup a Graph QL API with Tyk (tyk.io) ■ Tyk offers an open source API gateway, we are using the “self-managed” version (requires a license), as the open source version is fairly limited https://tyk.io/docs/tyk-on-premises/ Schedule + Session Service Tyk API Gateway
  • 16. The Serverless Way Using cloud provider native services
  • 17. The AWS Way: You only write request and response templates - everything else is handled by AppSync Request Template Response Template
  • 18. A glimpse at VTL templates with AWS AppSync #set( $myMap = { "id": $context.arguments.id, "meta": "stuff", "upperMeta" : $context.arguments.meta.toUpperCase() } ) "payload": $util.toJson($myMap) References: ■ Resolver Mapping Template Programming Guide - AWS AppSync ■ https://learn.acloud.guru/course/intro-aws-appsync
  • 19. The Client Side Consuming a GraphQL API using Quarkus
  • 20. The client side: Consuming a GraphQL service using Quarkus ■ Two different implementation variants: – Dynamic • Building the query with a fluent API • Client returns a JsonObject of the GraphQL response @Inject @GraphQLClient("ec-dynamic") DynamicGraphQLClient client; @GET @Path("sessions") public Uni<JsonObject> getSessions() { Document query = document(operation( field("sessions", field("startTime"), field("title"), field("speaker", field("fullName") ) ) )); return client.executeAsync(query).map(Response::getData); }
  • 21. The client side: Consuming a GraphQL service using Quarkus ■ Two different implementation variants: – Typesafe • Define the DTOs and let Quarkus do the rest • DTOs are related via Query name and GraphQL schema • Annotations can be used for name mapping public class EngineeringCampTypesafeResource { @Inject EngineeringCampTypesafeClient client; @GET @Path("sessions") public Uni<List<Session>> getSessions() { return client.getAllSessions(); } } @GraphQLClientApi(configKey = "ec-typesafe") public interface EngineeringCampTypesafeClient { @Query(value = "sessions") Uni<List<Session>> getAllSessions(); }
  • 22. qaware.de QAware GmbH Aschauer Straße 32 81549 München Tel. +49 89 232315-0 info@qaware.de twitter.com/qaware linkedin.com/company/qaware-gmbh xing.com/companies/qawaregmbh slideshare.net/qaware github.com/qaware Conclusion and Q&A