WARNING: This repo is just an experiment, do not use this in production yet.

A library based off graphql-anywhere that lets you use schemaless GraphQL queries to query documents across one or more MongoDB collections. Use it together with graphql-tag.

Install using npm:

npm install --save graphql-tag graphql-anhywhere-mongodb

Or using yarn:

yarn add graphql-tag graphql-anywhere-mongodb

Wanna take this for a spin? See the graphql-anywhere-mongodb-example repo for instructions on how to plug this in with graphql-anywhere-mongodb-express to be able to make queries into MongoDB using GraphiQL.

Use one of the factory functions to create a query executor and then call find or findOne with a GraphQL query that contains one or more queries around your mongo collections:

import graphql from 'graphql-anywhere-mongodb';
import gql from 'graphql-tag';

async function doStuff() {
  // Can acquire a GraphQLMongoQueryExecutor by passing in a MongoDB URI
  // this will use the mongo driver to create its own connection
  const mongo = await graphql.forUri('mongodb://myhost:27017/myDatabase');

  // Alternatively you can use an existing mongo driver connection
  const myConnection = await fetchConnection();
  const mongo = graphql.forConnection(myConnection);

  // Then you can start querying mongodb using graphql queries and the
  // gql string template from the graphql-tag library
  const query = gql`
    {
      users (limit: $limit, skip: $offset) {
        firstName
        lastName
        age (gte: $age)
        lastLoggedIn (gt: $date)
        address {
          city
          state
          zip
        }
      }
    }
  `;
  const variables = {
    age: 21,
    limit: 100,
    offset: 0,
    date: new Date('2017-01-17T05:00:00.000Z')
  };
  const results = await mongo.find(query, variables);
}

Top level objects correspond to collections. You can query one or more collections in a single graphql query. For example, assuming we have a collection users and places, we can make the following query:

# Return firstName and lastName from users
# AND also return name from places
{
  users {
    firstName
    lastName
  }
  places {
    name
  }
}

Every field name listed will be included in the final projection that you get from MongoDB. This works on nested objects AND arrays. The MongoDB _id field is always returned.

{
  users {
    firstName
    lastName
    address {
      line1
      line2
      city
      state
      zip
    }
    favoritePlaces {
      name
      gps {
        lat
        lng
      }
    }
  }
}

In cases where you need to filter on a nested object but project the entire outer document you may add include: true to the parent document to include it in its entirety. For example, given the same schema as the above query, this would return the entire address sub-document, even though we only explicitly call out zip:

{
  users {
    firstName
    lastName
    address (include: true) {
      zip (eq: "33326")
    }
  }
}

You can add a top-level argument for limit and/or skip to pass those arguments along to the final mongodb query.

{
  users (limit: 10, skip 0) {
    firstName
    lastName
  }
}

In order to sort by one or more field, annotate the given field with the @sort directive for sorting in ascending order or the @sortDesc directive for sorting in descending order on that field.

{
  users (limit: 10, skip 0) {
    firstName
    lastName
    age (gte: 21) @sortDesc
  }
}

Use standard MongoDB filters like $eq, $ne, $gt, $gte, etc. without the $ prefix as part of your GraphQL query to add filters to your query. See the MongoDB Docs for the full list of valid filters.

Note: Array filters like $elemMatch are not currently supported.

{
  users (limit: 10, skip: 0) {
    firstName
    lastName
    age (gte: 21)
    address {
      city (eq: "Miami")
      state (eq: "Florida")
    }
  }
}

• Support basic querying capabilities against MongoDB Collections.
• Support collection-level things like limit and skip.
• Support sorting.
• Support querying on an inner nexted document while projecting the entire document.
• Support more complex data types
• Support projection of arrays inside documents.
• Support filtering of arrays inside documents.
• GraphiQL-like example to test this against arbitrary MongoDB instances.
• Support mutating documents
• Support inserting documents