Graphile Engine enables you to build high-performance easily-extensible GraphQL schemas by combining plugins.
NOTE: You might be looking for PostGraphile which is Graphile Engine applied to a PostgreSQL database.
graphile-build: The core of Graphile Engine: a plugin system that enables you to build a GraphQL schema out of plugins with advanced performance capabilities enabled via GraphQL look-ahead functionality.
graphile-build-pg: A selection of graphile-build plugins related to PostgreSQL: schema introspection, generation of fields and types for all tables, computed columns, query procedures, etc - if there's certain features you don't want, simply don't use that plugin!
graphile-utils: A collection of helper utilities to make writing graphile-build plugins easier.
postgraphile-core: Contains the GraphQL schema functionality of PostGraphile, does not contain the web layer.
graphql-parse-resolve-info: Parses a GraphQLResolveInfo
object into a
tree of the fields that are being requested to enable optimisations to your
GraphQL schema (e.g. we use it in graphile-build-pg
to determine which fields
are required from the SQL database).
Proof of concept was built by @Benjie in 2017, growing out of a need for greater performance, easier extensibility and greater customisation in PostGraphQL. Over the next year thanks to the input of the community and ongoing development and testing, Graphile Engine has matured into the production-ready system it is today.
Below is a quick-start, for more detailed instructions, please see the CONTRIBUTING.md doc in PostGraphile.
yarn
yarn lerna bootstrap
yarn watch
yarn watch
will keep monitoring and compiling the babel files, so open
another terminal to run the tests:
(Note: before you can run the tests, you'll need to configure your PostgreSQL
server to support logical decoding for our live queries tests. See
the @graphile/lds README for how
to enable wal_level = logical
.)
createdb pggql_test
createdb pubsub_test
export TEST_DATABASE_URL="postgres:///pggql_test"
yarn lerna run test
If the above succeeds, you're good to go! If not, please try again after
running yarn install --force
and always feel free to reach out via our
discord chat on the #core-development channel.
If you want to work in a Docker environment you can follow the instructions on the wiki.