MongoDB query to collectively match intersection of documents against a field

For this, use aggregate(). Let us first create a collection with documents −

> db.demo393.insertOne( ...    { ...       Id1: "1", ...       Name: "Chris", ...       Id2: "100" ...    } ... ); {    "acknowledged" : true,    "insertedId" : ObjectId("5e5e6dd522064be7ab44e804") } > db.demo393.insertOne( ...    { ...       Id1: "1", ...       Name: "Chris", ...       Id2: "101" ...    } ... ); {    "acknowledged" : true,    "insertedId" : ObjectId("5e5e6dd522064be7ab44e805") } > db.demo393.insertOne( ...    { ...       Id1: "3", ...       Name: "Chris", ...       Id2: "100" ...    } ... ); {    "acknowledged" : true,    "insertedId" : ObjectId("5e5e6dd522064be7ab44e806") } > db.demo393.insertOne( ...    { ...       Id1: "3", ...       Name: "Mike", ...       Id2: "101" ...    } ... ); {    "acknowledged" : true,    "insertedId" : ObjectId("5e5e6dd522064be7ab44e807") }

Display all documents from a collection with the help of find() method −

> db.demo393.find();

This will produce the following output −

{ "_id" : ObjectId("5e5e6dd522064be7ab44e804"), "Id1" : "1", "Name" : "Chris", "Id2" : "100" } { "_id" : ObjectId("5e5e6dd522064be7ab44e805"), "Id1" : "1", "Name" : "Chris", "Id2" : "101" } { "_id" : ObjectId("5e5e6dd522064be7ab44e806"), "Id1" : "3", "Name" : "Chris", "Id2" : "100" } { "_id" : ObjectId("5e5e6dd522064be7ab44e807"), "Id1" : "3", "Name" : "Mike", "Id2" : "101" }

Following is the query to collectively match intersection of documents against a field −

> db.demo393.aggregate([ ...    { "$match": { "Name": "Chris" } }, ...    { "$group": { ...       "_id": "$Id1", ...       "docs": { "$push": "$$ROOT" }, ...       "count": { "$sum": 1 } ...    }}, ...    { "$match": { ...       "count": { "$gt": 1 }, ...       "docs": { ...          "$all": [ ...             { "$elemMatch": { "Id2": "100" } }, ...             { "$elemMatch": { "Id2": "101" } } ...          ] ...       } ...    }} ... ])

This will produce the following output −

{ "_id" : "1", "docs" : [ { "_id" : ObjectId("5e5e6dd522064be7ab44e804"), "Id1" : "1", "Name" : "Chris", "Id2" : "100" }, { "_id" : ObjectId("5e5e6dd522064be7ab44e805"), "Id1" : "1", "Name" : "Chris", "Id2" : "101" } ], "count" : 2 }