Graphback - Low Code, GraphQL based API suited for your needs

Wojciech Trocki
Feb 12 · 7 min read

TL;DR — We have done extensive changes in Graphback over the last 3 weeks focused on refactoring to support custom plugins

You can try it now at github.com/aerogear/graphback

Graphback — building production-ready GraphQL applications

The main purpose of Graphback is to provide an autogenerated GraphQL based CRUD API for developers and their various use cases. Graphback differs from other GraphQL based solutions by utilizing code generation and application templates as a quick way to get started. This gives developers the ultimate flexibility that was recognized by our community. The CRUD API can be added to existing projects or function as standalone service.

Why have we rewritten Graphback?

When working with the community we identified multiple ways people want to add a CRUD API to their applications:

  • Generating source code on top of popular application template
  • Adding a CRUD layer to their application
  • Fully managed GraphQL Enabled RealTime Database

We had implemented those use cases to satisfy the needs of our community but quickly realized that we cannot support so many of them and at the same time actively address feature requests from the community. Our architecture used a single way to build metadata for generating source code for various artifacts like resolvers, client-side documents, etc. This prevented us from satisfying the API use cases that were often excluding each other.

We faced the problem that many open source projects have at some time:

  • Do we introduce changes gradually and slowly to not break current community, knowing that we are constrained by our architecture
  • Rewrite entire engine and introduce “uber” breaking change to not break clients in the future

How we approached the problem

After more than 1000 commits and 2 years of continuous maintenance we knew we needed some radical steps to make Graphback valid competitor to other GraphQL based Real-Time Database solutions.

Influenced by discussions with the community and our core contributors, we chosen to stop accepting changes to the master branch and rewrite the entire Graphback ecosystem. Amount of changes we have done significantly exceeded our imagination.

Feature branch after refactor

To make refactoring efficient our core team (@craicoverflow and @wtrocki) started working with the concept of micro sprints (1 day of work Pull Requests, demos, and planning) which went well and helped us to get things done in a very short timeframe.

We were dynamic in terms of the execution and collaborating on the entire codebase without significant conflicts. Constant reviews also kept the entire team in the loop in terms of the goals we wanted to achieve.

Results of the refactor

While doing refactoring we tried to resolve many different issues that we faced to make sure that our architecture is stable and have fewer breaking changes in the future.

Flexibility to extend and create generator plugins

Plugins allow the developer to modify the result schema that will be decorated with queries and mutations following CRUD spec. Plugins also allow developers to generate files like resolvers or graphql queries. Graphback Core package provides a common set of helpers that can be used by plugin developers to minimize the amount of work needed for any customizations. Plugins are loaded dynamically from the configuration:

One size cannot fit all

Thanks to introduction of plugins we can now support various use cases for source generation. Developers can simply change one of the generators like resolvers or clients to satisfy their needs. Graphback comes with its opinionated plugins that are easy to extend (and maintain :) ).

Lack of standard for CRUD operations in GraphQL

Graphback was using unwritten and undocumented CRUD specification that was driven by Graphback core. We have explored existing specifications like https://www.opencrud.org and decided that we need something more dynamic, but also defined so developers will understand how the CRUD API is built. That is why Graphback has its CRUD specification that is documented and strictly followed in every plugin. Plugin based architecture allows to dynamically extend specification if needed.

Confusing configuration

The `graphback.json` configuration file was causing many issues with compatibility. We did not specify that the default migration package relies on the Knex.js Database Migrations. Some of the configuration options led developers to confusion and wrong assumptions that we are supporting only the PostgreSQL database.

That is why our team decided to adopt an industry-standard configuration format: https://graphql-config.com. Using GraphQL Config not only helped us to standardize our configuration but also allowed us to merge with the existing ecosystem of the GraphQL-CLI and other tools that integrate with the Config.

Runtime Layer to swap data layer without code generation

Source code generation has its advantages and problems. When generating source code for the entire server layer we quickly realized that operating directly on the database queries will lead to possible problems with maintenance. We could not control our API and cater to many different patterns that developers wanted to use. We felt that we need to provide another abstraction on how CRUD API is done to allow developers to dynamically swap implementations without dealing with ‘joys of code generation’ like unit testing, string concatenation, and source formatting.

Basing on that we have to build a Graphback runtime package.
This gives developers 2 abstractions:

  • Service layer for implementing various capabilities like authentication, logging, etc.
  • DB layer to implement data access and table to model mapping

Ability to use different data sources for model

Thanks to introducing runtime layer developers can dynamically swap the data sources for specific models. Our CRUD interfaces no longer require supplying the table names. Instead, every model will get their dedicated service that is available as part of the context and used in generated resolvers

GraphQL Annotations instead of directives

Using GraphQL Directives is very beneficial in situations when we want to associate some specific behavior to them when the query is being executed.

In Graphback directives were used as markers to annotate some specific fields or types with additional metadata used in Generation. We have quickly realized that directives are a very bad choice for this use case as they need to be always supplied to the schema or removed before writing schema to the filesystem. After numerous issues, we discovered and started using an alternative package called `graphql-metadata`. The metadata package allows us to utilize comment format to specify requirements for the generator engine or even various table or field mappings that would normally require dozens of directives.

Type annotated with model

Metadata is easy to use and offers a simple way of supplying your markers in plugins. For more info please refer to package docs: https://github.com/aerogear/graphql-metadata

Opt-in Schema Type processing

Every model/GraphQL Type needs to be annotated by the model annotation to be processed by generators. Developers can adopt Graphback gradually by annotating one or more types by model while having the rest of the schema working with their resolvers. Generated resolvers can be merged with developer supplied ones by simply merging 2 objects or using graphql-toolkit to load them from different folders.

A different way of writing custom resolvers

We found out that custom resolvers generation is not desired by the community especially when Graphback is added to existing GraphQL projects that have already implemented resolvers.

Graphback no longer generates custom resolvers (resolvers outside CRUD specification). Developers can merge their resolvers with generated ones using helpers available in the sample applications and documented in our docs.

When it will be released?

We are currently working on documentation and minor improvements.
Please follow our repository for upcoming releases. In the meantime, you can also try out our sample applications on the Graphback master branch.

How can I migrate?

If you have been using GraphQL CLI to start your project migration will require only to update `graphqlrc.yaml` file with the new graphback config.

Will Graphback Support X?

Thanks to plugin-based generators and runtime Graphback can work now with any data source (new or existing). Create or connect to existing databases etc. If you looking to migrate from solutions like AppSync, Prisma or Hasura feel free to create an issue explaining your use case.

How I can get started with Graphback

Wojciech Trocki

Written by

Writing about Teaching, OpenSource, Mobile and Cloud. https://wtrocki.com

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