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Contributing

pg_graphql is OSS. PR and issues are welcome.

Development

To start developing pg_graphql:

  1. Install Rust.
  2. Install pgrx

Testing

Tests are located in sql files in the ./test/sql folder. Each sql file has a corresponding expected output file in ./test/expected folder. For example, ./test/sql/aliases.sql's expected output is in ./tests/expected/aliases.out. When a test runs, its actual output is saved in the ./results folder. If the file in ./results folder matches the corresponding file in the ./test/expected folder, the test passes, otherwise it fails.

To run tests locally, first execute:

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cargo pgrx install

to build pg_graphql from source and install it in the Postgres instance specified by pg_config. This step must be run when you have made any changes in the Rust code. It can be skipped if there are no Rust code changes since the last time the command was run. The skipping is expecially useful when you are only modifying the test sql files.

Next, run all the tests by executing:

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./bin/installcheck

You can combine the last two steps to build and install pg_graphql and run all the tests:

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$ cargo pgrx install; ./bin/installcheck

You can run a single test by passing its name to the installcheck command. For example, the following runs the test in ./test/sql/aliases.sql.

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./bin/installcheck aliases

When writing a new test, or editing an existing one, the file in ./result should be inspected manually and then copied over to the ./test/expected folder to make the test pass.

Debugging

You can print to the output by using the pgrx_pg_sys::submodules::elog::info! macro in the Rust code. Lines printed with this macro will show in the .out file in the ./results folder.

Interactive PSQL Development

To reduce the iteration cycle, you may want to launch a psql prompt with pg_graphql installed to experiment

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cargo pgrx run pg16

Try out the commands below to spin up a database with the extension installed & query a table using GraphQL. Experiment with aliasing field/table names and filtering on different columns.

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graphqldb= create extension pg_graphql cascade;
CREATE EXTENSION

graphqldb= create table book(id int primary key, title text);
CREATE TABLE

graphqldb= insert into book(id, title) values (1, 'book 1');
INSERT 0 1

Finally, execute some graphql queries against the table. 

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graphqldb= select graphql.resolve($$
query {
  bookCollection {
    edges {
      node {
        id
      }
    }
  }
}
$$);

             resolve
----------------------------------------------------------------------
{"data": {"bookCollection": {"edges": [{"node": {"id": 1}}]}}, "errors": []}

Documentation

All public API must be documented. Building documentation requires python 3.6+

Install Dependencies

Install mkdocs, themes, and extensions.

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pip install -r docs/requirements_docs.txt

Serving

To serve the documentation locally run

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mkdocs serve

and visit the docs at http://127.0.0.1:8000/pg_graphql/