gistfile1.txt

1.db.restaurants.find();
2.db.restaurants.find({},{"restaurant_id" : 1,"name":1,"borough":1,"cuisine" :1});
3.db.restaurants.find({},{"restaurant_id" : 1,"name":1,"borough":1,"cuisine" :1,"_id":0});
4. db.restaurants.find({},{address:{zipcode:1},_id:0})
5.db.restaurants.find({},{borough:'Brooklyn',name:1}).skip(5).limit(5-10)
8. db.restaurants.find({'grades.score':{$gt: 70}}).count()
9.db.restaurants.find({grades:{$elemMatch:{score:{$lt:100,$gt:70}}}}).count()
10. {cuisine:{$ne:"American "},"grades.grade":"A",borough:{$ne:"Brooklyn"}}
11. {$and:[{cuisine:{$ne:"American "}},{cuisine:{$ne:"Chinese"}},{name:/^[^Sea]/}]}
12.sort({"cuisine":1,"borough" : -1,});
13. sort({name:1})
14. db.restaurants.find({'grades.grade':"A",'grades.score':11,'grades.date':ISODate('2013–09–11T00:00:00Z') }).count()
15. db.restaurants.find().sort({},{'name':1})
16. db.restaurants.aggregate([
  {
    '$match': {
      'borough': 'Bronx', 
      'cuisine': 'Caribbean'
    }
  }, {
    '$group': {
      '_id': 0, 
      'count': {
        '$sum': 1
      }
    }
  }
])