I have two MongoDB collections that share a common _id. Using the mongo shell, I want to find all documents in one collection that do not have a matching _id in the other co
In mongo 3.2 the following code seems to work
db.collectionb.aggregate([
{
$lookup:
{
from: "collectiona",
localField: "collectionb_fk",
foreignField: "collectiona_fk",
as: "matched_docs"
}
},
{
$match: { "matched_docs": { $eq: [] } }
}
]);
based on this https://docs.mongodb.com/manual/reference/operator/aggregation/lookup/#use-lookup-with-an-array example
Answering your follow-up. I'd use map().
Given this:
> b1 = {i: 1}
> db.b.save(b1)
> db.b.save({i: 2})
> db.a.save({_id: b1._id})
All you need is:
> vals = db.a.find({}, {id: 1}).map(function(a){return a._id;})
> db.b.find({_id: {$nin: vals}})
which returns
{ "_id" : ObjectId("4f08c60d6b5e49fa3f6b46c1"), "i" : 2 }
You will have to save the _ids from collection A to not pull them again from collection B, but you can do it using $nin. See Advanced Queries for all of the MongoDB operators.
Your end query, using the example you gave would look something like:
db.Test.find({"_id": {"$nin": [ObjectId("4f08a75f306b428fb9d8bb2e"),
ObjectId("4f08a766306b428fb9d8bb2f")]}})`
Note that this approach won't scale. If you need a solution that scales, you should be setting a flag in collections A and B indicating if the _id is in the other collection and then query off of that instead.
Updated for second part:
The second part is impossible. MongoDB does not support joins or any sort of cross querying between collections in a single query. Querying from one collection, saving the results and then querying from the second is your only choice unless you embed the data in the rows themselves as I mention earlier.
I've made a script, marking all documents on the second collection that appears in first collection. Then processed the second collection documents.
var first = db.firstCollection.aggregate([ {'$unwind':'$secondCollectionField'} ])
while (first.hasNext()){ var doc = first.next(); db.secondCollection.update( {_id:doc.secondCollectionField} ,{$set:{firstCollectionField:doc._id}} ); }
...process the second collection that has no mark
db.secondCollection.find({"firstCollectionField":{$exists:false}})