mongodb-query

I'm trying to get a sorted list of items using a ranged query on a collection containing bulletin-board data. The data structure of a "thread" document is: { "_id" : ObjectId("5a779b47f4fa72412126526a"), "title" : "necessitatibus tincidunt libris assueverit", "content" : "Corrumpitvenenatis cubilia adipiscing sollicitudin", "flagged" : false, "locked" : false, "sticky" : false, "lastPostAt" : ISODate("2018-02-05T06:35:24.656Z"), "postCount" : 42, "user" : ObjectId("5a779b46f4fa72412126525a"), "category" : ObjectId("5a779b31f4fa724121265164"), "createdAt" : ISODate("2018-02-04T23:46:15.852Z"),

I am trying to query multiple sub-documents in MongoDB and return as a single doc. I think the aggregation framework is the way to go, but, can't see to get it exactly right. Take the following docs: { "board_id": "1", "hosts": [{ "name": "bob", "ip": "10.1.2.3" }, { "name": "tom", "ip": "10.1.2.4" }] } { "board_id": "2", "hosts": [{ "name": "mickey", "ip": "10.2.2.3" }, { "name": "mouse", "ip": "10.2.2.4" }] } { "board_id": "3", "hosts": [{ "name": "pavel", "ip": "10.3.2.3" }, { "name": "kenrick", "ip": "10.3.2.4" }] } Trying to get a query result like this: { "hosts": [{ "name": "bob", "ip":

I have a data structure like this: We have some centers . A center has some switches . A switch has some ports . { "_id" : ObjectId("561ad881755a021904c00fb5"), "Name" : "center1", "Switches" : [ { "Ports" : [ { "PortNumber" : 2, "Status" : "Empty" }, { "PortNumber" : 5, "Status" : "Used" }, { "PortNumber" : 7, "Status" : "Used" } ] } ] } All I want is to write an Update query to change the Status of the port that it's PortNumber is 5 to "Empty". I can update it when I know the array index of the port (here array index is 1) with this query: db.colection.update( // query { _id: ObjectId(

I have a collection and each document in that collection has an array field countries . I want to select all documents which include any of below countries: China, USA, Australia And the output should show the number of above countries each document has. I use below aggregate command: db.movies.aggregate([ { $match: { countries: { $in: ["USA", 'China', 'Australia'] } } }, { $project: { countries: {$size: '$countries'} } } ]); it doesn't work as expected. It shows the number of all countries in the document who has the above-listed country. For example, if a document has China, Japan in its

I am using the below query on my MongoDB collection which is taking more than an hour to complete. db.collection.find({language:"hi"}).sort({_id:-1}).skip(5000).limit(1) I am trying to to get the results in a batch of 5000 to process in either ascending or descending order for documents with "hi" as a value in language field. So i am using this query in which i am skipping the processed documents every time by incrementing the "skip" value. The document count in this collection is just above 20 million. An index on the field "language" is already created. MongoDB Version i am using is 2.6.7 Is