Get All:
db.restaurants.find({})

Limit and sort:  1st 10 alphabetically
db.restaurants.find({}, {name:1}).sort({name:1}).limit(10);

Get by ID:
db.restaurants.findOne({})._id;
ObjectId("59074c7c057aaffaafb0da64")
var documentId = ObjectId("59074c7c057aaffaafb0da64");
db.restaurants.findOne({_id: documentId});

Get by Value:
db.restaurants.find({borough: "Queens"});

Count # Documents
db.restaurants.count();

Count by nested value
Write a command that gives the number of restaurants whose zip code value is '11206'
db.restaurants.find({"address.zipcode": "11206"}).count();

Delete by id
Write a command that deletes a document from db.restaurants.
db.restaurants.findOne({})._id;
ObjectId("59074c7c057aaffaafb0da64")
db.restaurants.deleteOne({_id: ObjectId("59074c7c057aaffaafb0da64")})

Update a single document
Write a command that sets the name property of a document with a specific _id to 'Bizz Bar Bang'.
var objectId = db.restaurants.findOne({}, {_id: 1})._id
db.restaurants.updateOne({_id: objectId}, {$set: {name: "Bizz Bar Bang"}})
{ "acknowledged" : true, "matchedCount" : 1, "modifiedCount" : 1 }
db.restaurants.findOne({_id: objectId});

Update many documents: addresses with '10035' will now fall under the '10036' zip
find all 10035 zip documents, update to 10036
db.restaurants.updateMany({"address.zipcode": "10035"}, {$set: {"address.zipcode": 10036}})
{ "acknowledged" : true, "matchedCount" : 12, "modifiedCount" : 12 }
> db.restaurants.find({"address.zipcode": "10036"}).count();
92
> db.restaurants.find({"address.zipcode": "10035"}).count();
0