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  • windows 7 update freeze - what to do?

    - by Tom Tom
    Hi, yesterday I shuted down my notebook and windows 7 Ultimate started to install the automatic update. After one hour I noticed that the update is still running. I thought ok, I go to sleep and let it run. In the morning it was still running. Thus I thought it is crashed. Forced a shut-down of the notebook, and restarted it. With the same effect that the notebook is "freezing" at "Install Update 1 of 5". It does not look like whether it is chrased. The progress wheel is still moving. But it does not make any progres.. Thus somehow like crashed. Would appreciate any help! Edit: Ok was able to log-in in "save" (german: abgesicherter) mode. This way I passed to install update screen. I do not want to generally disable updates. What can I do to not install the last update, which is creating troube. Or how can I find out whats the problem with the last update? Edit2: Ok starting in save mode and finally installing the updates manually solved the problem.

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  • MongoDB, Carrierwave, GridFS and prevention of files' duplication

    - by Arkan
    I am dealing with Mongoid, carrierwave and gridFS to store my uploads. For example, I have a model Article, containing a file upload(a picture). class Article include Mongoid::Document field :title, :type => String field :content, :type => String mount_uploader :asset, AssetUploader end But I would like to only store the file once, in the case where I'll upload many times the same file for differents articles. I saw GridFS has a MD5 checksum. What would be the best way to prevent duplication of identicals files ? Thanks

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  • MongoDB-PHP: JOIN-like query

    - by mdm414
    Here are the objects: courses { "name" : "Biology", "_id" : ObjectId("4b0552b0f0da7d1eb6f126a1") } students { "name" : "Joe", "classes" : [ { "$ref" : "courses", "$id" : ObjectId("4b0552b0f0da7d1eb6f126a1") } ], "_id" : ObjectId("4b0552e4f0da7d1eb6f126a2") } Using the PHP Mongo Class, how do I get all the students that has a biology course? Thanks

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  • MongoDB architectural question

    - by pex
    I have to store 4 Models. Let's say a Post that has many and belongs to many Categories. Category on the other hand has many Qualities. At the moment I'm of the opinion, that Post and Categories are Documents. Qualities becomes an EmbeddedDocument of Categories. We're coming to the root problem: There are a lot of Votes on Qualities that belong to a Post. I thought about embed Votes in Post and give it a quality_id. I am really expecting a lot of Votes and there has to be a possibility to filter them (e.g by Username / Usergroup / Date voted). I worked with MongoMapper and I think the missing existence of find methods for EmbeddedDocuments could become a killer. On the other hand I'm wondering about performance issues. What if I want to provide a Post without all the Votes, but only a few. Or, what if I define an own Document for Votes and have tons of Vote-Documents? Wouldn't that become a performance killer?

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  • Problem with MongoDB Ruby Driver

    - by Paul
    I'm on Ubuntu, and I've done install gem mongo which reported Successfully installed bson-1.0 Successfully installed mongo-1.0 2 gems installed I've started mongod Now I cd to the mongo gem directory and try > ruby examples/simple.rb and I get the error ./examples/../lib/mongo.rb:31:in `require': no such file to load -- bson (LoadError) from ./examples/../lib/mongo.rb:31 from examples/simple.rb:3:in `require' from examples/simple.rb:3 which I can't make sense of, since the bson gem is installed > gem list *** LOCAL GEMS *** bson (1.0) bson_ext (1.0) mongo (1.0) rack (1.1.0) sinatra (1.0) Any suggestions what's up here?

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  • MongoDB - proper use of collections?

    - by zmg
    In Mongo my understanding is that you can have databases and collections. I'm working on a social-type app that will have blogs and comments (among other things) and had previously be using MySQL and pretty heavy partitioning in an attempt to limit possible concurrency issues. With MySQL I've stuffed all my user data into a _user database with several tables to further partition the data (blogs, pages, etc). My immediate reaction with Mongo would be to create a 'users' database with one collection per user. In this way user 'zach' blog entries would go into the 'zach' collection with associated comments and such becoming sub-objects in the same collection. Basically like dynamically creating one table per user in MySQL, but apparently without the complexity and limitations that might impose. Of course since I haven't really used Mongo before I'm having trouble gauging the (ahem..) quality of this idea and the potential problems it might cause down the road. I'd like user data to be treated a lot like a users directory in a *nix environment where user created/non-shared (mostly) gets put into one place (currently with MySQL that would be the appname_users as mentioned above). Most of the users data will be specific to the users page(s). Some of the user data which is queried across all site users (searchable user profiles) is currently kept in a separate database/table and I expect things like this could be put into a appname_system database and be broken up into collections and/or application specific databases (appname_profiles). Anyway, since the available documentation on this is currently a little thin and my experience is extremely limited I thought I might find a little guidance from someone with a better working understanding of the system. On the plus side I'd really already been attempting to treat MySQL as a schema-less document-store and doing this with Mongo seems much more intuitive/sane/rational so I'm really looking forward to getting started. Thanks, Zach

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  • MongoDB ruby dates

    - by MB
    I have a collection with an index on :created_at (which in this particular case should be a date) From rails what is the proper way to save an entry and then retrieve it by the date? I'm trying something like: Model: field :created_at, :type = Time script: Col.create(:created_at = Time.parse(another_model.created_at).to_s and Col.find(:all, :conditions = { :created_at = Time.parse(same thing) }) and it's not returning anything

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  • Intersection of sets Mongodb

    - by afvasd
    Hi everyone I am new to mongo, this is my db design: product := { name: str group: ref, comments: [ ref, ref, ref, ref ] } comments := { ... a bunch of comments stuff } tag := { _id: int, #Need this for online requests tag: str, products: [ {product: ref, score: float}, ... ], comments: [ {comment: ref, score: float}, ...], } So my usage pattern is: GIVEN a product, find comments that have certain tag and sort them accordingly. My current approach involves: Look for that tag object that has tag=myTag pull all the comments out, sorted look for that product where product.name=myProduct pull all the comments out (which are dbrefs by the way) loop through the result of 2, and checking if they are in 4, (this I can do a limit 10) etc. It's pretty inefficient. Any better methods?

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  • Mongodb using db.help() on a particular db command

    - by user1325696
    When I type db.help() It returns DB methods: db.addUser(username, password[, readOnly=false]) db.auth(username, password) ... ... db.printShardingStatus() ... ... db.fsyncLock() flush data to disk and lock server for backups db.fsyncUnock() unlocks server following a db.fsyncLock() I'd like to find out how to get more detailed help for the particular command. The problem was with the printShardingStatus as it returned "too many chunks to print, use verbose if you want to print" mongos> db.printShardingStatus() --- Sharding Status --- sharding version: { "_id" : 1, "version" : 3 } shards: { "_id" : "shard0000", "host" : "localhost:10001" } { "_id" : "shard0001", "host" : "localhost:10002" } databases: { "_id" : "admin", "partitioned" : false, "primary" : "config" } { "_id" : "dbTest", "partitioned" : true, "primary" : "shard0000" } dbTest.things chunks: shard0001 12 shard0000 19 too many chunks to print, use verbose if you want to for ce print I found that for that particular command I can specify boolean parameter db.printShardingStatus(true) which wasn't shown using db.help().

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  • MongoDb - $match filter not working in subdocument

    - by Ranjith
    This is Collection Structure [{ "_id" : "....", "name" : "aaaa", "level_max_leaves" : [ { level : "ObjectIdString 1", max_leaves : 4, } ] }, { "_id" : "....", "name" : "bbbb", "level_max_leaves" : [ { level : "ObjectIdString 2", max_leaves : 2, } ] }] I need to find the subdocument value of level_max_leaves.level filter when its matching with given input value. And this how I tried, For example, var empLevelId = 'ObjectIdString 1' ; MyModel.aggregate( {$unwind: "$level_max_leaves"}, {$match: {"$level_max_leaves.level": empLevelId } }, {$group: { "_id": "$level_max_leaves.level", "total": { "$sum": "$level_max_leaves.max_leaves" }}}, function (err, res) { console.log(res); }); But here the $match filter is not working. I can't find out exact results of ObjectIdString 1 If I filter with name field, its working fine. like this, {$match: {"$name": "aaaa" } }, But in subdocument level its returns 0. {$match: {"$level_max_leaves.level": "ObjectIdString 1"} }, My expected result was, { "_id" : "ObjectIdString 1", "total" : 4, }

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  • Mongodb querying for multiple parameters

    - by gaggina
    I've this collections { "name" : "montalto", "users" : [ { "username" : "ciccio", "email" : "aaaaaaaa", "password" : "aaaaaaaa", "money" : 0 } ], "numers" : "8", "_id" : ObjectId("5040d3fded299bf03a000002") } If I want to search for a collection with the name of montalto and a user named ciccio I'm using the following query: db.coll.find({name:'montalto', users:{username:'ciccio'}}).count() But it does not work. Where I went wrong?

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  • MongoDB complex MapReduce of video logs

    - by Justin Hourigan
    I have a dataset from video streaming logs. Each video is identified by a FileGUID. The log entries record the FileGUID, the fragment of the video watched and the bandwidth it was watched at. I would like to create a mapreduce outputting, for each video, a count for fragments both total and for each bandwidth. Ideally it would look like; {"FileGUID":"50acb3a5796634df0e073285", { "1":{"total":76, "0832":34, "1028":42}, "2":{"total":42, "0832":28, "1028":14}, ... } } Is this possible with one mapreduce or is it a multi-step process, or should I use a different method? Here is a sample of the data. { "_id": ObjectId("50acb3a5796634df0e073285"), "IP": "46.7.1.88", "DateTime": ISODate("2012-10-24T22:59:57.0Z"), "FileGUID": "8cdde821fb934a6da7c125a012a26612", "Bandwidth": NumberInt(1028), "Segment": NumberInt(1), "Fragment": NumberInt(237), "Status": NumberInt(200), "Size": NumberInt(576790), "UserAgent": "Mozilla\/5.0 (Windows NT 6.1; WOW64; rv:16.0) Gecko\/20100101 Firefox\/16.0" } { "_id": ObjectId("50acb3a5796634df0e073284"), "IP": "46.7.1.88", "DateTime": ISODate("2012-10-24T22:59:52.0Z"), "FileGUID": "8cdde821fb934a6da7c125a012a26612", "Bandwidth": NumberInt(1028), "Segment": NumberInt(1), "Fragment": NumberInt(236), "Status": NumberInt(200), "Size": NumberInt(577100), "UserAgent": "Mozilla\/5.0 (Windows NT 6.1; WOW64; rv:16.0) Gecko\/20100101 Firefox\/16.0" } { "_id": ObjectId("50acb3a5796634df0e073283"), "IP": "46.7.1.88", "DateTime": ISODate("2012-10-24T22:59:47.0Z"), "FileGUID": "8cdde821fb934a6da7c125a012a26612", "Bandwidth": NumberInt(0832), "Segment": NumberInt(1), "Fragment": NumberInt(234), "Status": NumberInt(200), "Size": NumberInt(576664), "UserAgent": "Mozilla\/5.0 (Windows NT 6.1; WOW64; rv:16.0) Gecko\/20100101 Firefox\/16.0" } { "_id": ObjectId("50acb3a5796634df0e073282"), "IP": "46.7.1.88", "DateTime": ISODate("2012-10-24T22:59:42.0Z"), "FileGUID": "8cdde821fb934a6da7c125a012a26612", "Bandwidth": NumberInt(0832), "Segment": NumberInt(1), "Fragment": NumberInt(233), "Status": NumberInt(200), "Size": NumberInt(575692), "UserAgent": "Mozilla\/5.0 (Windows NT 6.1; WOW64; rv:16.0) Gecko\/20100101 Firefox\/16.0" }

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  • MongoDB efficient dealing with embedded documents

    - by Sebastian Nowak
    I have serious trouble finding anything useful in Mongo documentation about dealing with embedded documents. Let's say I have a following schema: { _id: ObjectId, ... data: [ { _childId: ObjectId // let's use custom name so we can distinguish them ... } ] } What's the most efficient way to remove everything inside data for particular _id? What's the most efficient way to remove embedded document with particular _childId inside given _id? What's the performance here, can _childId be indexed in order to achieve logarithmic (or similar) complexity instead of linear lookup? If so, how? What's the most efficient way to insert a lot of (let's say a 1000) documents into data for given _id? And like above, can we get O(n log n) or similar complexity with proper indexing? What's the most efficient way to get the count of documents inside data for given _id?

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  • mongoDB many to many with one query?

    - by PowderKeg
    in mysql i use JOIN and one query is no problem. what about mongo? imagine categories and products. products may have more categories. categories may have more product. (many to many structure) and administrator may edit categories in administration (categories must be separated) its possible write product with categories names in one query? i used this structure categories { name:"categoryName", product_id:["4b5783300334000000000aa9","5783300334000000000aa943","6c6793300334001000000006"] } products { name:"productName", category_id:["4b5783300334000000000bb9","5783300334000000000bb943","6c6793300334001000000116"] } now i can simply get all product categories, and product in some category and categories alone for editation. but if i want write product with categories names i need two queries - one to get product categories id and second to get categories names from categories by that ids. is this the right way? or this structure is unsuitable? i would like to have only one query but i dont know if its possible.

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  • MongoDB lists with paginations?

    - by Timmy
    for documents with lists with pagination, is it better to embed or use reference? im reading the custom type "SONManipulator" and it appears to transform every thing on retrieval, even the sub docs. i want to keep the list in the document sorted, should this impact anything?

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  • meteor mongodb _id changing after insert (and UUID property as well)

    - by lommaj
    I have meteor method that does an insert. Im using Regulate.js for form validation. I set the game_id field to Meteor.uuid() to create a unique value that I also route to /game_show/:game_id using iron router. As you can see I'm logging the details of the game, this works fine. (image link to log below) Meteor.methods({ create_game_form : function(data){ Regulate.create_game_form.validate(data, function (error, data) { if (error) { console.log('Server side validation failed.'); } else { console.log('Server side validation passed!'); // Save data to database or whatever... //console.log(data[0].value); var new_game = { game_id: Meteor.uuid(), name : data[0].value, game_type: data[1].value, creator_user_id: Meteor.userId(), user_name: Meteor.user().profile.name, created: new Date() }; console.log("NEW GAME BEFORE INSERT: ", new_game); GamesData.insert(new_game, function(error, new_id){ console.log("GAMES NEW MONGO ID: ", new_id) var game_data = GamesData.findOne({_id: new_id}); console.log('NEW GAME AFTER INSERT: ', game_data); Session.set('CURRENT_GAME', game_data); }); } }); } }); All of the data coming out of the console.log at this point works fine After this method call the client routes to /game_show/:game_id Meteor.call('create_game_form', data, function(error){ if(error){ return alert(error.reason); } //console.log("post insert data for routing variable " ,data); var created_game = Session.get('CURRENT_GAME'); console.log("Session Game ", created_game); Router.go('game_show', {game_id: created_game.game_id}); }); On this view, I try to load the document with the game_id I just inserted Template.game_start.helpers({ game_info: function(){ console.log(this.game_id); var game_data = GamesData.find({game_id: this.game_id}); console.log("trying to load via UUID ", game_data); return game_data; } }); sorry cant upload images... :-( https://www.evernote.com/shard/s21/sh/c07e8047-de93-4d08-9dc7-dae51668bdec/a8baf89a09e55f8902549e79f136fd45 As you can see from the image of the console log below, everything matches the id logged before insert the id logged in the insert callback using findOne() the id passed in the url However the mongo ID and the UUID I inserted ARE NOT THERE, the only document in there has all the other fields matching except those two! Not sure what im doing wrong. Thanks!

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  • MongoDB with OR and Range Indexes

    - by LMH
    I have a query: {"$query"=>{"user_id"=>"512f7960534dcda22b000491", "$or"=>[{"when_tz"=>{"$gte"=>2010-06-24 04:00:00 UTC, "$lt"=>2010-06-25 04:00:00 UTC}}, {"when_tz"=>{"$gte"=>2011-06-24 04:00:00 UTC, "$lt"=>2011-06-25 04:00:00 UTC}}, {"when_tz"=>{"$gte"=>2012-06-24 04:00:00 UTC, "$lt"=>2012-06-25 04:00:00 UTC}}], "_type"=>{"$in"=>["FacebookImageItem", "FoursquareImageItem", "InstagramItem", "TwitterImageItem", "Image"]}}, "$explain"=>true, "$orderby"=>{"when_tz"=>1}} And an index: { user_id: 1, _type: 1, when_tz: 1 } Explain: {"cursor"="BtreeCursor user_id_1__type_1_facebook_id_1 multi", "isMultiKey"=false, "n"=28, "nscannedObjects"=15094, "nscanned"=15098, "nscannedObjectsAllPlans"=181246, "nscannedAllPlans"=241553, "scanAndOrder"=true, "indexOnly"=false, "nYields"=12, "nChunkSkips"=0, "millis"=2869, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "_type"=[["FacebookImageItem", "FacebookImageItem"], ["FoursquareImageItem", "FoursquareImageItem"], ["Image", "Image"], ["InstagramItem", "InstagramItem"], ["TwitterImageItem", "TwitterImageItem"]], "facebook_id"=[[{"$minElement"=1}, {"$maxElement"=1}]]}, "allPlans"=[{"cursor"="BtreeCursor user_id_1__type_1_facebook_id_1 multi", "n"=28, "nscannedObjects"=15094, "nscanned"=15098, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "_type"=[["FacebookImageItem", "FacebookImageItem"], ["FoursquareImageItem", "FoursquareImageItem"], ["Image", "Image"], ["InstagramItem", "InstagramItem"], ["TwitterImageItem", "TwitterImageItem"]], "facebook_id"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1__type_1_twitter_id_1 multi", "n"=28, "nscannedObjects"=15094, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "_type"=[["FacebookImageItem", "FacebookImageItem"], ["FoursquareImageItem", "FoursquareImageItem"], ["Image", "Image"], ["InstagramItem", "InstagramItem"], ["TwitterImageItem", "TwitterImageItem"]], "twitter_id"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1__type_1_instagram_id_1 multi", "n"=28, "nscannedObjects"=15094, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "_type"=[["FacebookImageItem", "FacebookImageItem"], ["FoursquareImageItem", "FoursquareImageItem"], ["Image", "Image"], ["InstagramItem", "InstagramItem"], ["TwitterImageItem", "TwitterImageItem"]], "instagram_id"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1__type_1_foursquare_id_1 multi", "n"=28, "nscannedObjects"=15094, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "_type"=[["FacebookImageItem", "FacebookImageItem"], ["FoursquareImageItem", "FoursquareImageItem"], ["Image", "Image"], ["InstagramItem", "InstagramItem"], ["TwitterImageItem", "TwitterImageItem"]], "foursquare_id"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1_phash_1", "n"=21, "nscannedObjects"=15097, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "phash"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1_aperature_1_shutter_speed_1_when_tz_1", "n"=25, "nscannedObjects"=35, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "aperature"=[[{"$minElement"=1}, {"$maxElement"=1}]], "shutter_speed"=[[{"$minElement"=1}, {"$maxElement"=1}]], "when_tz"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1_image_hash_1", "n"=22, "nscannedObjects"=15097, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "image_hash"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1_time_zone_guessed_1_when_tz_-1", "n"=23, "nscannedObjects"=32, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "time_zone_guessed"=[[{"$minElement"=1}, {"$maxElement"=1}]], "when_tz"=[[{"$maxElement"=1}, {"$minElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1_time_zone_guessed_1_when_tz_1", "n"=24, "nscannedObjects"=33, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "time_zone_guessed"=[[{"$minElement"=1}, {"$maxElement"=1}]], "when_tz"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1_time_zone_guessed_1_when_utc_-1", "n"=23, "nscannedObjects"=15097, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "time_zone_guessed"=[[{"$minElement"=1}, {"$maxElement"=1}]], "when_utc"=[[{"$maxElement"=1}, {"$minElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1_time_zone_guessed_1_when_utc_1", "n"=24, "nscannedObjects"=15097, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "time_zone_guessed"=[[{"$minElement"=1}, {"$maxElement"=1}]], "when_utc"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1_original_shared_item_id_1", "n"=24, "nscannedObjects"=15097, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "original_shared_item_id"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1__type_1_s3_tmp_file_1 multi", "n"=28, "nscannedObjects"=15094, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "_type"=[["FacebookImageItem", "FacebookImageItem"], ["FoursquareImageItem", "FoursquareImageItem"], ["Image", "Image"], ["InstagramItem", "InstagramItem"], ["TwitterImageItem", "TwitterImageItem"]], "s3_tmp_file"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1__type_1_processed_-1_uploaded_-1_image_device_1 multi", "n"=28, "nscannedObjects"=15094, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "_type"=[["FacebookImageItem", "FacebookImageItem"], ["FoursquareImageItem", "FoursquareImageItem"], ["Image", "Image"], ["InstagramItem", "InstagramItem"], ["TwitterImageItem", "TwitterImageItem"]], "processed"=[[{"$maxElement"=1}, {"$minElement"=1}]], "uploaded"=[[{"$maxElement"=1}, {"$minElement"=1}]], "image_device"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1__type_1_when_tz_1 multi", "n"=28, "nscannedObjects"=28, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "_type"=[["FacebookImageItem", "FacebookImageItem"], ["FoursquareImageItem", "FoursquareImageItem"], ["Image", "Image"], ["InstagramItem", "InstagramItem"], ["TwitterImageItem", "TwitterImageItem"]], "when_tz"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BasicCursor", "n"=0, "nscannedObjects"=15097, "nscanned"=15097, "indexBounds"={}}], "server"=""} Any idea how to get it to hit the indexes?

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  • Removing an object in a child collection in MongoDB

    - by Jeremy B.
    I've got a collection of content. Said collection has a collection of responses as such Content : [{ 'id' : '1234', 'Responses' : [{ 'id' : '12345' } etc. Now, I want to remove response 12345, but I don't want to remove all of the responses. I can't seem to find the command to do so. I'm getting the impression that the correct action is to grab the object, rebuild the Responses without the one I want removed, and then save the Content object as a whole. Provided there are many responses, this seems like a bad practice to have to load the entire object that way.

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  • when to index on multiple keys in mongodb

    - by Evan
    say I have an Item document with :price and :qty fields. I sometimes want to find all documents matching a given :price AND :qty, and at other times it will be either :price on its own or :qty on its own. I have already indexed the :price and :qty keys, but do I also need to create a compound index on both together or are the single key indexes enough?

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  • MongoDB map reduce count giving more results than a query

    - by giorgiosironi
    I have a collection users in Mongo and I execute this map reduce which I believe is the equivalent of a COUNT(*) GROUP BY origin: > m = function() { for (i in this.membership) { ... emit( this.membership[i].platform_profile.origin, 1 ); ... } } function () { for (i in this.membership) { emit(this.membership[i].platform_profile.origin, 1); } } > r = function( id, values ) { var result = 0; ... for ( var i = 0; i < values.length; i ++ ) { result += values[i]; } ... return result; } function (id, values) { var result = 0; for (var i = 0; i < values.length; i++) { result += values[i]; } return result; } > db.users.mapReduce(m, r, {out : { inline: 1}}); { "results" : [ { "_id" : 0, "value" : 15 }, { "_id" : 1, "value" : 449 }, ... } But if I try to count how many documents have this field set to a specific value like 1, I get fewer results: db.users.count({"membership.platform_profile.origin": 1}); 424 What am I missing?

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  • Mongodb, simple IN problem

    - by afvasd
    Hi everyone I am new to mongo, this is my db design: product := { name: str group: ref, comments: [ ref, ref, ref, ref ] } comments := { ... a bunch of comments stuff } tag := { _id: int, #Need this for online requests tag: str, products: [ {product: ref, score: float}, ... ], comments: [ {comment: ref, score: float}, ...], } So my usage pattern is: GIVEN a product, find comments that have certain tag and sort them accordingly. My current approach involves: Look for that tag object that has tag=myTag pull all the comments out, sorted look for that product where product.name=myProduct pull all the comments out (which are dbrefs by the way) loop through the result of 2, and checking if they are in 4, (this I can do a limit 10) etc. It's pretty inefficient. Any better methods?

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  • Get _id from MongoDB using Scala

    - by user2438383
    For a given JSON how do I get the _id to use it as an id for inserting in another JSON? Tried to get the ID as shown below but does not return correct results. private def getModelRunId(): List[String] = { val resultsCursor: List[DBObject] = modelRunResultsCollection.find(MongoDBObject.empty, MongoDBObject(FIELD_ID -> 1)).toList println("resultsCursor >>>>>>>>>>>>>>>>>> " + resultsCursor) resultsCursor.map(x => (Json.parse(x.toString()) \ FIELD_ID).asOpt[String]).flatten } { "_id": ObjectId("5269723bd516ec3a69f3639e"), "modelRunId": ObjectId("5269723ad516ec3a69f3639d"), "results": [ { "ClaimId": "526971f5b5b8b9148404623a", "pricingResult": { "TxId": 0, "ClaimId": "Large_Batch_1", "Errors": [ ], "Disposition": [ { "GroupId": 1, "PriceAmt": 20, "Status": "Priced Successfully", "ReasonCode": 0, "Reason": "RmbModel(PAM_DC_1):ProgramNode(Validation CPG):ServiceGroupNode(Medical Services):RmbTerm(RT)", "PricingMethodologyId": 2, "Lines": [ { "Id": 1 } ] } ] } },

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