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A GraphQL to SQL query execution layer for query planning and batch data fetching. Efficient query planning and data fetching for SQL. Use JOINs and/or batched requests to retrieve all your data. It takes a GraphQL query and your schema and automatically generates the SQL. Send that SQL to your database and get back all the data needed to resolve with only one or a few round-trips to the database. Since it works with the reference implementation, the API is all very familiar. Join Monster is a tool built on top to add batch data fetching. You add some special properties along-side the schema definition that Join Monster knows to look for. The use of graphql-js does not change. You still define your types the same way. You can write resolve functions to manipulate the data from Join Monster, or incorporate data from elsewhere without breaking out of your "join-monsterized" schema.
Features
- Fetch all the data in a single, or a few, database query(s)
- No over-fetching data. Retrieve only the data that the client actually requested
- SQL is automatically generated and adaptive. No need to manually write queries or update them when the schema changes
- Simply define the data requirements of the GraphQL fields on the SQL columns
- Coexists with your custom resolve functions and existing schemas. Use it on the whole graph or only in parts
- Retain the power and expressiveness in defining your schema
Project Samples
