Do you know that ObjectID contains a timestamp? And so they always represent the natural insertion order. Therefore, if you are looking for documents before after the famous _id document, you can do this:
Our documents:
{ "_id" : ObjectId("5307f2d80f936e03d1a1d1c8"), "a" : 1 } { "_id" : ObjectId("5307f2db0f936e03d1a1d1c9"), "b" : 1 } { "_id" : ObjectId("5307f2de0f936e03d1a1d1ca"), "c" : 1 } { "_id" : ObjectId("5307f2e20f936e03d1a1d1cb"), "d" : 1 } { "_id" : ObjectId("5307f2e50f936e03d1a1d1cc"), "e" : 1 } { "_id" : ObjectId("5307f2e90f936e03d1a1d1cd"), "f" : 1 } { "_id" : ObjectId("5307f2ec0f936e03d1a1d1ce"), "g" : 1 } { "_id" : ObjectId("5307f2ee0f936e03d1a1d1cf"), "h" : 1 } { "_id" : ObjectId("5307f2f10f936e03d1a1d1d0"), "i" : 1 } { "_id" : ObjectId("5307f2f50f936e03d1a1d1d1"), "j" : 1 } { "_id" : ObjectId("5307f3020f936e03d1a1d1d2"), "j" : 1 }
So, we know _id from "f", we get it and the following 2 documents:
> db.items.find({ _id: {$gte: ObjectId("5307f2e90f936e03d1a1d1cd") } }).limit(3) { "_id" : ObjectId("5307f2e90f936e03d1a1d1cd"), "f" : 1 } { "_id" : ObjectId("5307f2ec0f936e03d1a1d1ce"), "g" : 1 } { "_id" : ObjectId("5307f2ee0f936e03d1a1d1cf"), "h" : 1 }
And do the same in reverse order:
> db.items.find({ _id: {$lte: ObjectId("5307f2e90f936e03d1a1d1cd") } }) .sort({ _id: -1 }).limit(3) { "_id" : ObjectId("5307f2e90f936e03d1a1d1cd"), "f" : 1 } { "_id" : ObjectId("5307f2e50f936e03d1a1d1cc"), "e" : 1 } { "_id" : ObjectId("5307f2e20f936e03d1a1d1cb"), "d" : 1 }
And this is a much better approach than scanning a collection.
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