a40bf10b9f
Examples 1) ` pytest --hge-urls "http://127.0.0.1:8080" --pg-urls "postgresql://admin@127.0.0.1:5432/hge_tests" -vv ` 2) `pytest --hge-urls "http://127.0.0.1:8080" "http://127.0.0.1:8081" --pg-urls "postgresql://admin@127.0.0.1:5432/hge_tests" "postgresql://admin@127.0.0.1:5432/hge_tests2" -vv ` ### Solution and Design <!-- How is this issue solved/fixed? What is the design? --> <!-- It's better if we elaborate --> #### Reducing execution time of tests - The Schema setup and teardown, which were earlier done per test method, usually takes around 1 sec. - For mutations, the model has now been changed to only do schema setup and teardown once per test class. - A data setup and teardown will be done once per test instead (usually takes ~10ms). - For the test class to get this behaviour, one can can extend the class `DefaultTestMutations`. - The function `dir()` should be define which returns the location of the configuration folder. - Inside the configuration folder, there should be - Files `<conf_dir>/schema_setup.yaml` and `<conf_dir>/schema_teardown.yaml`, which has the metadata query executed during schema setup and teardown respectively - Files named `<conf_dir>/values_setup.yaml` and `<conf_dir>/values_teardown.yaml`. These files are executed to setup and remove data from the tables respectively. #### Running Graphql queries on both http and websockets - Each GraphQL query/mutation is run on the both HTTP and websocket protocols - Pytests test parameterisation is used to achieve this - The errors over websockets are slightly different from that on HTTP - The code takes care of converting the errors in HTTP to errors in websockets #### Parallel executation of tests. - The plugin pytest-xdist helps in running tests on parallel workers. - We are using this plugin to group tests by file and run on different workers. - Parallel test worker processes operate on separate postgres databases(and separate graphql-engines connected to these databases). Thus tests on one worker will not affect the tests on the other worker. - With two workers, this decreases execution times by half, as the tests on event triggers usually takes a long time, but does not consume much CPU. |
||
|---|---|---|
| .circleci | ||
| .github | ||
| assets | ||
| cli | ||
| community | ||
| console | ||
| docs | ||
| install-manifests | ||
| scripts | ||
| server | ||
| .ciignore | ||
| .gitignore | ||
| code-of-conduct.md | ||
| CONTRIBUTING.md | ||
| event-triggers.md | ||
| LICENSE | ||
| LICENSE-community | ||
| README.japanese.md | ||
| README.md | ||
| remote-schemas.md | ||
| SECURITY.md | ||
Hasura GraphQL Engine
Hasura GraphQL Engine is a blazing-fast GraphQL server that gives you instant, realtime GraphQL APIs over Postgres, with webhook triggers on database events, and remote schemas for business logic.
Hasura helps you build GraphQL apps backed by Postgres or incrementally move to GraphQL for existing applications using Postgres.
Read more at hasura.io and the docs.
Features
- Make powerful queries: Built-in filtering, pagination, pattern search, bulk insert, update, delete mutations
- Realtime: Convert any GraphQL query to a live query by using subscriptions
- Merge remote schemas: Access custom GraphQL schemas for business logic via a single GraphQL Engine endpoint. Read more.
- Trigger webhooks or serverless functions: On Postgres insert/update/delete events (read more)
- Works with existing, live databases: Point it to an existing Postgres database to instantly get a ready-to-use GraphQL API
- Fine-grained access control: Dynamic access control that integrates with your auth system (eg: auth0, firebase-auth)
- High-performance & low-footprint: ~15MB docker image; ~50MB RAM @ 1000 req/s; multi-core aware
- Admin UI & Migrations: Admin UI & Rails-inspired schema migrations
- Postgres ❤️: Supports Postgres types (PostGIS/geo-location, etc.), turns views to graphs, trigger stored functions or procedures with mutations
Read more at hasura.io and the docs.
Table of contents
Table of Contents
- Quickstart:
- Architecture
- Client-side tooling
- Add business logic
- Demos
- Support & Troubleshooting
- Contributing
- Brand assets
- License
- Translations
Quickstart:
One-click deployment on Heroku
The fastest way to try Hasura out is via Heroku.
-
Click on the following button to deploy GraphQL Engine on Heroku with the free Postgres add-on:
-
Open the Hasura console
Visit
https://<app-name>.herokuapp.com(replace <app-name> with your app name) to open the admin console. -
Make your first GraphQL query
Create a table and instantly run your first query. Follow this simple guide.
Other one-click deployment options
Check out the instructions for the following one-click deployment options:
| Infra provider | One-click link | Additional information |
|---|---|---|
| DigitalOcean |  |
docs |
| Azure |  |
docs |
Other deployment methods
For Docker-based deployment and advanced configuration options, see deployment guides or install manifests.
Architecture
The Hasura GraphQL Engine fronts a Postgres database instance and can accept GraphQL requests from your client apps. It can be configured to work with your existing auth system and can handle access control using field-level rules with dynamic variables from your auth system.
You can also merge remote GraphQL schemas and provide a unified GraphQL API.
Client-side tooling
Hasura works with any GraphQL client. We recommend using Apollo Client. See awesome-graphql for a list of clients.
Add business logic
GraphQL Engine provides easy-to-reason, scalable and performant methods for adding custom business logic to your backend:
Remote schemas
Add custom resolvers in a remote schema in addition to Hasura's Postgres-based GraphQL schema. Ideal for use-cases like implementing a payment API, or querying data that is not in your database - read more.
Trigger webhooks on database events
Add asynchronous business logic that is triggered based on database events. Ideal for notifications, data-pipelines from Postgres or asynchronous processing - read more.
Derived data or data transformations
Transform data in Postgres or run business logic on it to derive another dataset that can be queried using GraphQL Engine - read more.
Demos
Check out all the example applications in the community/examples directory.
Realtime applications
-
Group Chat application built with React, includes a typing indicator, online users & new message notifications.
-
Live location tracking app that shows a running vehicle changing current GPS coordinates moving on a map.
-
A realtime dashboard for data aggregations on continuously changing data.
Videos
- Add GraphQL to a self-hosted GitLab instance (3:44 mins)
- Todo app with Auth0 and GraphQL backend (4:00 mins)
- GraphQL on GitLab integrated with GitLab auth (4:05 mins)
- Dashboard for 10million rides with geo-location (PostGIS, Timescale) (3:06 mins)
Support & Troubleshooting
The documentation and community will help you troubleshoot most issues. If you have encountered a bug or need to get in touch with us, you can contact us using one of the following channels:
- Support & feedback: Discord
- Issue & bug tracking: GitHub issues
- Follow product updates: @HasuraHQ
- Talk to us on our website chat
We are committed to fostering an open and welcoming environment in the community. Please see the Code of Conduct.
If you want to report a security issue, please read this.
Contributing
Check out our contributing guide for more details.
Brand assets
Hasura brand assets (logos, the Hasura mascot, powered by badges etc.) can be found in the assets/brand folder. Feel free to use them in your application/website etc. We'd be thrilled if you add the "Powered by Hasura" badge to your applications built using Hasura. ❤️
<!-- For light backgrounds -->
<a href="https://hasura.io">
<img width="150px" src="https://graphql-engine-cdn.hasura.io/img/powered_by_hasura_black.svg" />
</a>
<!-- For dark backgrounds -->
<a href="https://hasura.io">
<img width="150px" src="https://graphql-engine-cdn.hasura.io/img/powered_by_hasura_white.svg" />
</a>
License
The core GraphQL Engine is available under the Apache License 2.0 (Apache-2.0).
All other contents (except those in server, cli and
console directories) are available under the MIT License.
This includes everything in the docs and community
directories.
Translations
This readme is available in the following translations: