MongoDB find $near in object array












1















I started to work with MongoDB API, beacause we are using Azure Cosmos DB.
Tried examples using $near in MongoDB with the basic structure {key:"A": localtion:{type:"Point", coordinates:[1,2]}}, and works well. The ploblem is when i need to use an array of locations.



I'm triying to execute this query without result. What i'm doing bad?



db.places.insert( {
id:1,
name: "AAAAAAAAAAA",
locals:[
{
location: { type: "Point", coordinates: [-73.9928, 40.7191 ] },
}
],
category: "Parks"
} );
db.places.insert( {
id:2,
name: "BBBBBBBBBBB",
locals:[
{
location: { type: "Point", coordinates: [-73.9928, 40.7193 ] },
}
],
category: "Parks"
} );
db.places.insert( {
id:3,
name: "CCCCCCCCCCCCC",
locals:[
{
location: { type: "Point", coordinates: [ -73.9375, 40.8303 ] },
}
],
category: "Parks"
} );
//Create index
db.places.createIndex({ "locals.location" : "2dsphere" })
//Query without result
db.places.find(
{
"locals.location":
{ $near:
{
$geometry: { type: "Point", coordinates: [ -73.9375, 40.8303 ] },
$minDistance: 1000,
$maxDistance: 5000
}
}
}
)


The places has many locals, that's why I can have many objects inside.



I hope some one can help me.



Cheers.










share|improve this question


















  • 2





    You are using CosmosDB? If so then I don't see this working. There is a supported way for MongoDB with the aggregation framework, but this is not compatible with the "compatibility layer" of CosmosDB. These are two completely different products, despite the marketing hype claiming otherwise.

    – Neil Lunn
    Nov 13 '18 at 22:03






  • 1





    See also How to query $near in CosmosDB via mongoDB protocol. As for "an array of sub-documents with location", I would not recommend it. Your example is trivial ( for MongoDB at least ) but even the unsupported $geoNear can only identify at most one match from the sub-documents. See $geoNear matching nearest array for that one.

    – Neil Lunn
    Nov 13 '18 at 22:19











  • Hi,does my answer helps you?

    – Jay Gong
    Nov 15 '18 at 1:17











  • Thx @NeilLunn you are right.

    – Paul Escarcena
    Nov 15 '18 at 14:01
















1















I started to work with MongoDB API, beacause we are using Azure Cosmos DB.
Tried examples using $near in MongoDB with the basic structure {key:"A": localtion:{type:"Point", coordinates:[1,2]}}, and works well. The ploblem is when i need to use an array of locations.



I'm triying to execute this query without result. What i'm doing bad?



db.places.insert( {
id:1,
name: "AAAAAAAAAAA",
locals:[
{
location: { type: "Point", coordinates: [-73.9928, 40.7191 ] },
}
],
category: "Parks"
} );
db.places.insert( {
id:2,
name: "BBBBBBBBBBB",
locals:[
{
location: { type: "Point", coordinates: [-73.9928, 40.7193 ] },
}
],
category: "Parks"
} );
db.places.insert( {
id:3,
name: "CCCCCCCCCCCCC",
locals:[
{
location: { type: "Point", coordinates: [ -73.9375, 40.8303 ] },
}
],
category: "Parks"
} );
//Create index
db.places.createIndex({ "locals.location" : "2dsphere" })
//Query without result
db.places.find(
{
"locals.location":
{ $near:
{
$geometry: { type: "Point", coordinates: [ -73.9375, 40.8303 ] },
$minDistance: 1000,
$maxDistance: 5000
}
}
}
)


The places has many locals, that's why I can have many objects inside.



I hope some one can help me.



Cheers.










share|improve this question


















  • 2





    You are using CosmosDB? If so then I don't see this working. There is a supported way for MongoDB with the aggregation framework, but this is not compatible with the "compatibility layer" of CosmosDB. These are two completely different products, despite the marketing hype claiming otherwise.

    – Neil Lunn
    Nov 13 '18 at 22:03






  • 1





    See also How to query $near in CosmosDB via mongoDB protocol. As for "an array of sub-documents with location", I would not recommend it. Your example is trivial ( for MongoDB at least ) but even the unsupported $geoNear can only identify at most one match from the sub-documents. See $geoNear matching nearest array for that one.

    – Neil Lunn
    Nov 13 '18 at 22:19











  • Hi,does my answer helps you?

    – Jay Gong
    Nov 15 '18 at 1:17











  • Thx @NeilLunn you are right.

    – Paul Escarcena
    Nov 15 '18 at 14:01














1












1








1








I started to work with MongoDB API, beacause we are using Azure Cosmos DB.
Tried examples using $near in MongoDB with the basic structure {key:"A": localtion:{type:"Point", coordinates:[1,2]}}, and works well. The ploblem is when i need to use an array of locations.



I'm triying to execute this query without result. What i'm doing bad?



db.places.insert( {
id:1,
name: "AAAAAAAAAAA",
locals:[
{
location: { type: "Point", coordinates: [-73.9928, 40.7191 ] },
}
],
category: "Parks"
} );
db.places.insert( {
id:2,
name: "BBBBBBBBBBB",
locals:[
{
location: { type: "Point", coordinates: [-73.9928, 40.7193 ] },
}
],
category: "Parks"
} );
db.places.insert( {
id:3,
name: "CCCCCCCCCCCCC",
locals:[
{
location: { type: "Point", coordinates: [ -73.9375, 40.8303 ] },
}
],
category: "Parks"
} );
//Create index
db.places.createIndex({ "locals.location" : "2dsphere" })
//Query without result
db.places.find(
{
"locals.location":
{ $near:
{
$geometry: { type: "Point", coordinates: [ -73.9375, 40.8303 ] },
$minDistance: 1000,
$maxDistance: 5000
}
}
}
)


The places has many locals, that's why I can have many objects inside.



I hope some one can help me.



Cheers.










share|improve this question














I started to work with MongoDB API, beacause we are using Azure Cosmos DB.
Tried examples using $near in MongoDB with the basic structure {key:"A": localtion:{type:"Point", coordinates:[1,2]}}, and works well. The ploblem is when i need to use an array of locations.



I'm triying to execute this query without result. What i'm doing bad?



db.places.insert( {
id:1,
name: "AAAAAAAAAAA",
locals:[
{
location: { type: "Point", coordinates: [-73.9928, 40.7191 ] },
}
],
category: "Parks"
} );
db.places.insert( {
id:2,
name: "BBBBBBBBBBB",
locals:[
{
location: { type: "Point", coordinates: [-73.9928, 40.7193 ] },
}
],
category: "Parks"
} );
db.places.insert( {
id:3,
name: "CCCCCCCCCCCCC",
locals:[
{
location: { type: "Point", coordinates: [ -73.9375, 40.8303 ] },
}
],
category: "Parks"
} );
//Create index
db.places.createIndex({ "locals.location" : "2dsphere" })
//Query without result
db.places.find(
{
"locals.location":
{ $near:
{
$geometry: { type: "Point", coordinates: [ -73.9375, 40.8303 ] },
$minDistance: 1000,
$maxDistance: 5000
}
}
}
)


The places has many locals, that's why I can have many objects inside.



I hope some one can help me.



Cheers.







mongodb geolocation azure-cosmosdb geojson 2dsphere






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 13 '18 at 21:56









Paul EscarcenaPaul Escarcena

82




82








  • 2





    You are using CosmosDB? If so then I don't see this working. There is a supported way for MongoDB with the aggregation framework, but this is not compatible with the "compatibility layer" of CosmosDB. These are two completely different products, despite the marketing hype claiming otherwise.

    – Neil Lunn
    Nov 13 '18 at 22:03






  • 1





    See also How to query $near in CosmosDB via mongoDB protocol. As for "an array of sub-documents with location", I would not recommend it. Your example is trivial ( for MongoDB at least ) but even the unsupported $geoNear can only identify at most one match from the sub-documents. See $geoNear matching nearest array for that one.

    – Neil Lunn
    Nov 13 '18 at 22:19











  • Hi,does my answer helps you?

    – Jay Gong
    Nov 15 '18 at 1:17











  • Thx @NeilLunn you are right.

    – Paul Escarcena
    Nov 15 '18 at 14:01














  • 2





    You are using CosmosDB? If so then I don't see this working. There is a supported way for MongoDB with the aggregation framework, but this is not compatible with the "compatibility layer" of CosmosDB. These are two completely different products, despite the marketing hype claiming otherwise.

    – Neil Lunn
    Nov 13 '18 at 22:03






  • 1





    See also How to query $near in CosmosDB via mongoDB protocol. As for "an array of sub-documents with location", I would not recommend it. Your example is trivial ( for MongoDB at least ) but even the unsupported $geoNear can only identify at most one match from the sub-documents. See $geoNear matching nearest array for that one.

    – Neil Lunn
    Nov 13 '18 at 22:19











  • Hi,does my answer helps you?

    – Jay Gong
    Nov 15 '18 at 1:17











  • Thx @NeilLunn you are right.

    – Paul Escarcena
    Nov 15 '18 at 14:01








2




2





You are using CosmosDB? If so then I don't see this working. There is a supported way for MongoDB with the aggregation framework, but this is not compatible with the "compatibility layer" of CosmosDB. These are two completely different products, despite the marketing hype claiming otherwise.

– Neil Lunn
Nov 13 '18 at 22:03





You are using CosmosDB? If so then I don't see this working. There is a supported way for MongoDB with the aggregation framework, but this is not compatible with the "compatibility layer" of CosmosDB. These are two completely different products, despite the marketing hype claiming otherwise.

– Neil Lunn
Nov 13 '18 at 22:03




1




1





See also How to query $near in CosmosDB via mongoDB protocol. As for "an array of sub-documents with location", I would not recommend it. Your example is trivial ( for MongoDB at least ) but even the unsupported $geoNear can only identify at most one match from the sub-documents. See $geoNear matching nearest array for that one.

– Neil Lunn
Nov 13 '18 at 22:19





See also How to query $near in CosmosDB via mongoDB protocol. As for "an array of sub-documents with location", I would not recommend it. Your example is trivial ( for MongoDB at least ) but even the unsupported $geoNear can only identify at most one match from the sub-documents. See $geoNear matching nearest array for that one.

– Neil Lunn
Nov 13 '18 at 22:19













Hi,does my answer helps you?

– Jay Gong
Nov 15 '18 at 1:17





Hi,does my answer helps you?

– Jay Gong
Nov 15 '18 at 1:17













Thx @NeilLunn you are right.

– Paul Escarcena
Nov 15 '18 at 14:01





Thx @NeilLunn you are right.

– Paul Escarcena
Nov 15 '18 at 14:01












1 Answer
1






active

oldest

votes


















0














Based on my test with your sample data, also got empty result as same as you. Per my knowledge, CosmosDB just supports a subset of the MongoDB API and translates requests into the CosmosDB SQL equivalent. CosmosDB has some different behaviours and results. But the onus is on CosmosDB to improve their emulation of MongoDB.



Certainly, you could add feedback here to submit your requirements or consider using MongoDB Atlas on Azure if you'd like full MongoDB feature support.






share|improve this answer
























  • Hi, thx for you answer, I´m learning more about CosmosDB and sending an email to azure feedback. I need to find an alternative using any CosmosDB api. Chreers.

    – Paul Escarcena
    Nov 15 '18 at 14:00











  • @PaulEscarcenaSantana How about cosmos db sql api? You could use stored procedure or udf to implement your requirements.

    – Jay Gong
    Nov 16 '18 at 1:26











  • Thx @Jay. I've tested with Sql Api and work's.

    – Paul Escarcena
    Nov 16 '18 at 16:22











  • @PaulEscarcena Sure,you could mark if for answer ,thanks !

    – Jay Gong
    Nov 17 '18 at 6:47











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1 Answer
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1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









0














Based on my test with your sample data, also got empty result as same as you. Per my knowledge, CosmosDB just supports a subset of the MongoDB API and translates requests into the CosmosDB SQL equivalent. CosmosDB has some different behaviours and results. But the onus is on CosmosDB to improve their emulation of MongoDB.



Certainly, you could add feedback here to submit your requirements or consider using MongoDB Atlas on Azure if you'd like full MongoDB feature support.






share|improve this answer
























  • Hi, thx for you answer, I´m learning more about CosmosDB and sending an email to azure feedback. I need to find an alternative using any CosmosDB api. Chreers.

    – Paul Escarcena
    Nov 15 '18 at 14:00











  • @PaulEscarcenaSantana How about cosmos db sql api? You could use stored procedure or udf to implement your requirements.

    – Jay Gong
    Nov 16 '18 at 1:26











  • Thx @Jay. I've tested with Sql Api and work's.

    – Paul Escarcena
    Nov 16 '18 at 16:22











  • @PaulEscarcena Sure,you could mark if for answer ,thanks !

    – Jay Gong
    Nov 17 '18 at 6:47
















0














Based on my test with your sample data, also got empty result as same as you. Per my knowledge, CosmosDB just supports a subset of the MongoDB API and translates requests into the CosmosDB SQL equivalent. CosmosDB has some different behaviours and results. But the onus is on CosmosDB to improve their emulation of MongoDB.



Certainly, you could add feedback here to submit your requirements or consider using MongoDB Atlas on Azure if you'd like full MongoDB feature support.






share|improve this answer
























  • Hi, thx for you answer, I´m learning more about CosmosDB and sending an email to azure feedback. I need to find an alternative using any CosmosDB api. Chreers.

    – Paul Escarcena
    Nov 15 '18 at 14:00











  • @PaulEscarcenaSantana How about cosmos db sql api? You could use stored procedure or udf to implement your requirements.

    – Jay Gong
    Nov 16 '18 at 1:26











  • Thx @Jay. I've tested with Sql Api and work's.

    – Paul Escarcena
    Nov 16 '18 at 16:22











  • @PaulEscarcena Sure,you could mark if for answer ,thanks !

    – Jay Gong
    Nov 17 '18 at 6:47














0












0








0







Based on my test with your sample data, also got empty result as same as you. Per my knowledge, CosmosDB just supports a subset of the MongoDB API and translates requests into the CosmosDB SQL equivalent. CosmosDB has some different behaviours and results. But the onus is on CosmosDB to improve their emulation of MongoDB.



Certainly, you could add feedback here to submit your requirements or consider using MongoDB Atlas on Azure if you'd like full MongoDB feature support.






share|improve this answer













Based on my test with your sample data, also got empty result as same as you. Per my knowledge, CosmosDB just supports a subset of the MongoDB API and translates requests into the CosmosDB SQL equivalent. CosmosDB has some different behaviours and results. But the onus is on CosmosDB to improve their emulation of MongoDB.



Certainly, you could add feedback here to submit your requirements or consider using MongoDB Atlas on Azure if you'd like full MongoDB feature support.







share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 14 '18 at 1:52









Jay GongJay Gong

8,6001512




8,6001512













  • Hi, thx for you answer, I´m learning more about CosmosDB and sending an email to azure feedback. I need to find an alternative using any CosmosDB api. Chreers.

    – Paul Escarcena
    Nov 15 '18 at 14:00











  • @PaulEscarcenaSantana How about cosmos db sql api? You could use stored procedure or udf to implement your requirements.

    – Jay Gong
    Nov 16 '18 at 1:26











  • Thx @Jay. I've tested with Sql Api and work's.

    – Paul Escarcena
    Nov 16 '18 at 16:22











  • @PaulEscarcena Sure,you could mark if for answer ,thanks !

    – Jay Gong
    Nov 17 '18 at 6:47



















  • Hi, thx for you answer, I´m learning more about CosmosDB and sending an email to azure feedback. I need to find an alternative using any CosmosDB api. Chreers.

    – Paul Escarcena
    Nov 15 '18 at 14:00











  • @PaulEscarcenaSantana How about cosmos db sql api? You could use stored procedure or udf to implement your requirements.

    – Jay Gong
    Nov 16 '18 at 1:26











  • Thx @Jay. I've tested with Sql Api and work's.

    – Paul Escarcena
    Nov 16 '18 at 16:22











  • @PaulEscarcena Sure,you could mark if for answer ,thanks !

    – Jay Gong
    Nov 17 '18 at 6:47

















Hi, thx for you answer, I´m learning more about CosmosDB and sending an email to azure feedback. I need to find an alternative using any CosmosDB api. Chreers.

– Paul Escarcena
Nov 15 '18 at 14:00





Hi, thx for you answer, I´m learning more about CosmosDB and sending an email to azure feedback. I need to find an alternative using any CosmosDB api. Chreers.

– Paul Escarcena
Nov 15 '18 at 14:00













@PaulEscarcenaSantana How about cosmos db sql api? You could use stored procedure or udf to implement your requirements.

– Jay Gong
Nov 16 '18 at 1:26





@PaulEscarcenaSantana How about cosmos db sql api? You could use stored procedure or udf to implement your requirements.

– Jay Gong
Nov 16 '18 at 1:26













Thx @Jay. I've tested with Sql Api and work's.

– Paul Escarcena
Nov 16 '18 at 16:22





Thx @Jay. I've tested with Sql Api and work's.

– Paul Escarcena
Nov 16 '18 at 16:22













@PaulEscarcena Sure,you could mark if for answer ,thanks !

– Jay Gong
Nov 17 '18 at 6:47





@PaulEscarcena Sure,you could mark if for answer ,thanks !

– Jay Gong
Nov 17 '18 at 6:47


















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