I have a mongoose schema and model defined as follows:
var mongoose = require('mongoose')
, Schema = new mongoose.Schema({
email: {
index: {
sparse: true,
unique: true
},
lowercase: true,
required: true,
trim: true,
type: String
},
location: {
index: '2dsphere',
type: [Number]
}
})
, User = module.exports = mongoose.model('User', Schema);
If I attempt:
var user = new User({ email: 'user@example.com' });
user.save(function(err) {
if (err) return done(err);
should.not.exist(err);
done();
});
I receive the error message:
MongoError: Can't extract geo keys from object, malformed geometry?:{}
Despite the location field in this schema not being required, it seems to be acting as such anyways. I have tried adding default: [0,0] which does circumvent this error, however it seems like a bit of a hack, as this is clearly not a good default, and ideally the schema would not require the user to have a location at all times.
Do geospatial indexes with MongoDB / mongoose imply that the field being indexed is required?
For mongoose 3.8.12, you set the default value:
var UserSchema = new Schema({
location: { 'type': {type: String, enum: "Point", default: "Point"}, coordinates: { type: [Number], default: [0,0]} },
});
UserSchema.index({location: '2dsphere'});
By default, a property declared an array receives a default empty array to work with. MongoDB has started validating geojson fields and yells about empty arrays. The work around is to add a pre save hook to the schema that checks for this scenario and fixes up the document first.
schema.pre('save', function (next) {
if (this.isNew && Array.isArray(this.location) && 0 === this.location.length) {
this.location = undefined;
}
next();
})