mongodb-query

I want to project a collection applying exporting a value only if a field is inside a range. Sort of: db.workouts.aggregate({ $match: { user_id: ObjectId(".....") } }, { $project: { '20': { $cond: [ {$gt: [ "$avg_intensity", 20]} , '$total_volume', 0] } } }) I need to get the value only if the avg_intensity is inside a certain range. I will then group and sum on the projection result. What I am trying to do is applying a $gt and $lt filter but with no much success. db.workouts.aggregate( { $match: { user_id: ObjectId("....") } }, { $project: { '20': { $cond: [ [{$gt: [ "$avg_intensity", 20]},

According to the mongodb node driver docs the aggregate function now returns a cursor (from 2.6). I hoped that I could use this to get a count of items pre limit & skipping but there doesn't seem to be any count function on the created cursor. If I run the same queries in the mongo shell the cursor has an itcount function that I can call to get what I want. I saw that the created cursor has an on data event (does that mean it's a CursorStream ?) which seemed to get triggered the expected number of times, but if I use it in combination with cursor.get no results get passed into the callback

I have a schema that is similar to this. {id: Number, line_items: [{ id: String, quantity: Number, review_request_sent :Boolean }], total_price: String, name: String, order_number: Number } What I want to find is all documents that don't have the field review_request_sent set for all items in the array. Example { id: 1, line_items: [ { id: 43, review_request_sent: true } ] }, { id: 2, line_items: [ { id: 1, review_request_sent: false }, { id: 39 }, ] }, { id: 3, line_items: [ { id: 23, review_request_sent: true }, { id: 85, review_request_sent: true }, { id: 12, review_request_sent: false } ]

How to query all {"module" : "B"} ? The following query doesn't work: db.XXX.find({ "_id" : { "module" : "B" } }); Thanks a ton! There data looks like: { "_id" : {"module" : "A","date" : ISODate("2013-03-18T07:00:00Z")}, "value" : {"count" : 1.0} } { "_id" : {"module" : "B","date" : ISODate("2013-03-18T08:00:00Z")}, "value" : {"count" : 2.0} } Try: db.XXX.find({ "_id.module" : "B" }); The difference is your original query would be trying to match on that entire subdocument (i.e. where _id is a subdocument containing a "module" field with value "B" and nothing else) Reference: MongoDB Dot

I fired a query and tried to explain it on mongo console and got "isMultiKey" : true, "n" : 8, "nscannedObjects" : 17272, "nscanned" : 17272, "nscannedObjectsAllPlans" : 21836, "nscannedAllPlans" : 21836, "scanAndOrder" : true, "indexOnly" : false, "nYields" : 0, "nChunkSkips" : 0, "millis" : 184, Most of the things are explained in http://www.mongodb.org/display/DOCS/Explain , but I cannot understand what does nscannedObjectsAllPlans, nscannedAllPlans means. Can anyone help? Thanks nscanned and nscannedObjects report results for the winning plan. nscannedAllPlans and nscannedObjectsAllPlans

Below query worked fine in Studio 3T and Robomongo, But I want to convert it into PHP format, Following is my query, db.news.aggregate([ { $match: { "_id" : "1" } }, { "$project": { "comments": { "$filter": { "input": "$comments", "as": "comment", "cond": { "$eq": [ "$$comment.status", "active" ] } } } } }, { "$project": { "comments": { "$slice": [ { "$slice": [ "$comments", { "$subtract": [ { "$size": [ "$comments" ] }, 1 ] } ] }, -1 ] } } }]) I have tried below, But it giving error " Error: localhost:27017: FieldPath field names may not be empty strings. " PHP converted sample: <?php

I have a schema called Message and it has a property replies which are also Message objects. I am trying to define it in mongoose, but replies keeps returning undefined. var MessageSchema = new Schema({ sender: { type: Schema.ObjectId, ref: 'User' }, replies: [{type:Schema.ObjectId, ref:'Message'}], roomId: String, sendTime: Date, content: String, parentId: Schema.ObjectId }); I've also tried replies: [MessageSchema] and replies:[Schema.ObjectId] but all of them keep returning undefined. Nothing wrong with the code you are listing so it's what you are not showing us that causes the problems.