Akka-http graphQL Bootstrap

Info

This is a boilerplate template for a akka graphql microservice with slick and flyway database migration. You can use it to create your own GraphQL Services on top of the lightbend stack.

Requirements

• JDK8 http://www.oracle.com/technetwork/java/javase/downloads/index.html)
• sbt(http://www.scala-sbt.org/release/docs/Getting-Started/Setup.html)
• docker for dockerbuild (https://www.docker.com/community-edition/)
• aws account if you want to use a cognito userpool for authentifaction (https://aws.amazon.com/de/)

Implemented Features

• Integration of graphiql ui localhost:8080
• Integration sangria for graphql
• CRUD Repositorys via slick-repo with a sample service with get and add implemented
• CORS Support via akka-http-cors
• Implemented Authentication with AWS Cognito (JWK) and JWT Token via nimbusds (in Java) - For Tests All Requests are allowed
• Test coverage with ScalaTest and scoverage code coverage report
• Ready for Docker deployment and CloudFormation deployment
• Config file with optional runtime parameters
• In-Memory Postgres SQL database for tests
• Flyway database migration
• HikariCP as connection pool
• Logging via Log4j with a xml template

Configuration

• Start a PostgreSQL Database via RDS, Docker or locally
• Create a Userpool with AWS Cognito if you need AWS Authentication.
• Configure your application.conf and the docker.conf (src/main/resources/) (application.conf in test has to stay as it is, for running in a in-memory postgresql instance)

Environment variables

• SQL_URL - database url by scheme jdbc:postgresql://host:port/database-name
• SQL_USER - database user
• SQL_PASSWORD - database password
• NIC_IP - IP Address bounded to the http service default is 0.0.0.0
• NIC_PORT - TCP Port used for the http service default is 8080
• USER_POOL - Define an other cognito user pool than the preconfigured userpool

Run application

To run application, call:

sbt run

If you wanna restart your application without reloading of sbt, use (revolver sbt plugin):

sbt re-start

Run in Docker

For launching application in Docker, you must configure database docker instance and run docker image, generated by sbt.

Generating application docker image and publishing on localhost:

sbt docker:publishLocal

Example of running, generated docker image:

docker run --name akkaHttp -e SQL_USER=dbuser -e SQL_PASSWORD=dbpass -e SQL_URL=jdbcURL -d -p 9090:9000 APPLICATION_IMAGE

• APPLICATION_IMAGE - id or name of application docker image

look at --link parameter if the database is also a docker container

Test

To run tests, call:

sbt test

To run all tests, with codecoverage, call:

sbt clean coverage test

To generate a coverage report afterwars the testrun, call:

sbt coverageReport

More Info

We will write a blog post soon on innFactory about microservice development.

Copyright & Contributers

Tobias Jonas

Copyright (C) 2017 innFactory Cloud- & DataEngineering

Published under the Apache 2 License.