For this, use $addFields. In that, use the $objectToArray to get the data in the form of keys and values. Use $filter with $indexOfBytes to check if there are any keys with. inside it.
Let us first create a collection with documents −
> db.demo364.insertOne(
... {
... "details" : {
... "details1.otherdetails.Name" : {"FirstName":"Chris" }
... }
... }
... );
{
"acknowledged" : true,
"insertedId" : ObjectId("5e57d485d0ada61456dc936d")
}
> db.demo364.insertOne(
... {
... "details" : {
... "details1.otherdetails.Name" : {"FirstName":"David" }
... }
... }
... );
{
"acknowledged" : true,
"insertedId" : ObjectId("5e57d486d0ada61456dc936e")
}Display all documents from a collection with the help of find() method −
> db.demo364.find();
This will produce the following output −
{ "_id" : ObjectId("5e57d485d0ada61456dc936d"), "details" : { "details1.otherdetails.Name" : { "FirstName" : "Chris" } } }
{ "_id" : ObjectId("5e57d486d0ada61456dc936e"), "details" : { "details1.otherdetails.Name" : { "FirstName" : "David" } } }Following is the query to find records with keys containing dots −
> db.demo364.aggregate([
... {
... $addFields: {
... result: {
... $filter: {
... input: { $objectToArray: "$details" },
... cond: {
... $ne: [ { $indexOfBytes: [ "$$this.k", "." ] } , -1 ]
... }
... }
... }
... }
... },
... {
... $match: {
... $expr: {
... $ne: [ { $size: "$result" }, 0 ]
... }
... }
... },
... {
... $project: {
... result: 0
... }
... }
... ])This will produce the following output −
{ "_id" : ObjectId("5e57d485d0ada61456dc936d"), "details" : { "details1.otherdetails.Name" : { "FirstName" : "Chris" } } }
{ "_id" : ObjectId("5e57d486d0ada61456dc936e"), "details" : { "details1.otherdetails.Name" : { "FirstName" : "David" } } }