If I have a data with a structure like this as a single document in a collection:
{ _id: ObjectId("firstid"), "name": "sublimetest", "child": { _id: ObjectId("childid"), "name": "materialtheme" } } is there a way to search for the embedded document by the id "childid" ? because mongo doesn't index the _id fields of embedded documents (correct me if I am wrong here), as this query doesn't work : db.collection.find({_id:"childid"});
Also please suggest me if there is any other document database that would be suitable for this kind of retreiving data that is structured as a tree, where the requirement is to :
- query children without having to issue joins
- find any node in the tree as fast as you would find the root node, as if all these nodes were stored as separate documents in a collection.
Why this is not a duplicate of question(s) suggested : the potential-duplicate-question, queries document by using dot notation. But what if the document is nested 7 levels deep ? In such case it would not be suitable to write a query using dot notation. what I want is that, all documents, whether top level, or nested, if they have the _id field, should be in the bucket of _id indexes, so that when you search db.collection.find({_id: "asdf"}), it should take into account documents that are nested too that have the _id field matching "asdf". In short, it should be as if the inner document weren't nested, but present parallel to the outer one.
