This project is a Clojure based GraphQL implementation. The goal is to provide a light-weight collection of tools that allows you to build a complex GraphQL API in the Clojure language.
This project is similar in scope as Lacina, but takes a different approach to both parsing, schema definition and execution engine.
DataQL uses the same underlying parsing engine as Lacinia, clj-antr.
DataQL exposes both your GraphQL Schema and your GraphQL Operations (Mutations and Queries) as a DataLog database. This DataLog database provides a convent place to discover and analysis your GraphQL System.
DataLog provides several methods for defining your Schema. You can define your GraphQL Schema in the Schema language. However, since DataQL treats your schema and queries as a database, you are equally welcome to define your schema in a DataLog Database.
GraphQL engines inherently need the ability to manage complex async workflows. In the Clojure ecosystem there are a couple of different choices to handling this. The default is core.async. data-ql uses the mailfold library. The key to any complex project is how to handle error conditions. While core.async does provide a very basic form of error handling, has refined the async error handling.
The data-log project encourages you to consider how you shape your GraphQL API. While GraphQ offers some advantages over REST, it still leaves a lot to the implementor to define. Query, mutation and types can be defined in almost any shape. data-log offers an advance linter that will examine your Schema and offer advice.
GraphQL and REST are very similar. They are a lot in common, while.