gistfile1.txt

{ 
    "_id" : ObjectId("5af99f1f5b51a81520f620fa"), 
    "City" : "Jakarta", 
    "Name" : "Kisaku Japanese Restaurant", 
    "Street" : "", 
    "Street_Number" : "", 
    "Postal" : NumberInt(13960), 
    "Locality" : "", 
    "Country" : "Indonesia", 
    "Formatted_Address" : "Ujung Menteng; Cakung; East Jakarta City; Jakarta 13960; Indonesia", 
    "Google Maps link" : "http://maps.google.com/maps?&z=10&q=-6.184506+106.96832730000006&ll=-6.184506+106.96832730000006", 
    "Phone" : "", 
    "Website" : "", 
    "Keyword" : "sushi restaurant", 
    "Email" : "", 
    "location" : {
        "type" : "Point", 
        "coordinates" : [
            106.968327, 
            -6.184506
        ]
    }, 
    "url" : "jakarta/kisaku-japanese-restaurant", 
    "tags" : [
        "sushi restaurant"
    ]
}

gistfile2.txt

db.collection('places').aggregate([
      {
        $geoNear: {
          near: { type: "Point", coordinates: [Number(req.query.lng),Number(req.query.lat)] },
          distanceField: "distance",
          maxDistance: 30 * 1000 ,
          includeLocs: "dist.location",
          distanceMultiplier: 0.001,
          spherical: true,
          limit: 40 
        }
      }, 
      {
        $match:  {
            $and: [
              { tags: { $in: [tagName] } },
              { city: req.query.city } 
            ]
           },
      },
      { $sort: { distance: 1 } },
      {
        $project: {
          c: "$City",
          i: "$url",
          n: "$Name",
          t: "$tags",
          k: "$Keyword",
          l: "$location.coorindates",
          d: "$distance"
        }
      }
    ]