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  • Filtering documents against a dictionary key in MongoDB

    - by Thomas
    I have a collection of articles in MongoDB that has the following structure: { 'category': 'Legislature', 'updated': datetime.datetime(2010, 3, 19, 15, 32, 22, 107000), 'byline': None, 'tags': { 'party': ['Peter Hoekstra', 'Virg Bernero', 'Alma Smith', 'Mike Bouchard', 'Tom George', 'Rick Snyder'], 'geography': ['Michigan', 'United States', 'North America'] }, 'headline': '2 Mich. gubernatorial candidates speak to students', 'text': [ 'BEVERLY HILLS, Mich. (AP) \u2014 Two Democratic and Republican gubernatorial candidates found common ground while speaking to private school students in suburban Detroit', "Democratic House Speaker state Rep. Andy Dillon and Republican U.S. Rep. Pete Hoekstra said Friday a more business-friendly government can help reduce Michigan's nation-leading unemployment rate.", "The candidates were invited to Detroit Country Day Upper School in Beverly Hills to offer ideas for Michigan's future.", 'Besides Dillon, the Democratic field includes Lansing Mayor Virg Bernero and state Rep. Alma Wheeler Smith. Other Republicans running are Oakland County Sheriff Mike Bouchard, Attorney General Mike Cox, state Sen. Tom George and Ann Arbor business leader Rick Snyder.', 'Former Republican U.S. Rep. Joe Schwarz is considering running as an independent.' ], 'dateline': 'BEVERLY HILLS, Mich.', 'published': datetime.datetime(2010, 3, 19, 8, 0, 31), 'keywords': "Governor's Race", '_id': ObjectId('4ba39721e0e16cb25fadbb40'), 'article_id': 'urn:publicid:ap.org:0611e36fb084458aa620c0187999db7e', 'slug': "BC-MI--Governor's Race,2nd Ld-Writethr" } If I wanted to write a query that looked for all articles that had at least 1 geography tag, how would I do that? I have tried writing db.articles.find( {'tags': 'geography'} ), but that doesn't appear to work. I've also thought about changing the search parameter to 'tags.geography', but am having a devil of a time figuring out what the search predicate would be.

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  • Connect xampp to MongoDB

    - by Jhonny D. Cano -Leftware-
    Hello I have a xampp 1.7.3 instance running and a MongoDB 1.2.4 server on the same machine. I want to connect them, so I basically have been following this tutorial on php.net, it seems to connect but the cursors are always empty. I don't know what am I missing. Here is the code I am trying. The cursor-valid always says false. thanks <?php $m = new Mongo(); // connect try { $m->connect(); } catch (MongoConnectionException $ex) { echo $ex; } echo "conecta..."; $dbs = $m->listDBs(); if ($dbs == NULL) { echo $m->lastError(); return; } foreach($dbs as $db) { echo $db; } $db = $m->selectDB("CDO"); echo "elige bd..."; $col = $db->selectCollection("rep_consulta"); echo "elige col..."; $rangeQuery = array('id' => array( '$gt' => 100)); $col->insert(array('id' => 456745764, 'nombre' => 'cosa')); $cursor = $col->find()->limit(10); echo "buscando..."; var_dump($cursor); var_dump($cursor->valid()); if ($cursor == NULL) echo 'cursor null'; while($cursor->hasNext()) { $item = $cursor->current(); echo "en while..."; echo $item["nombre"].'...'; } ?> doing this by command line works perfect use CDO db.rep_consulta.find() -- lot of data here

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  • Understanding MongoDB(and NoSQL in general) and How to make the best use of it

    - by Earlz
    Hello, I am beginning to think that my next project I am wanting to do would work better with a NoSQL solution. The project would either involve a ton of 2-column tables or a ton of dynamic queries with dynamically generated columns in a traditional SQL database. So I feel a NoSQL database would be much cleaner. I'm looking at MongoDB and it looks pretty promising. Anyway, I'm attempting to make sense of it all. Also, I will be using MongoMapper in Ruby. Anyway though, I'm confused as to how to layout things in such a freeform database. I've read http://stackoverflow.com/questions/2170152/nosql-best-practices and the answer there says that normalization is usually bad in a NoSQL DB. So how would be the best way of laying out say a simple blog with users, posts, and comments? My natural thought was to have 3 collections for each and then link them by a unique ID. But this apparently is wrong? So, what are some of the ways to lay out such a thing? My concern with the answer given in the other question is what if the author's name changed. You'd have to go through updating a ton of posts and comments. But is this an ok thing to do with NoSQL?

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  • Understanding MongoDB (and NoSQL in general) and how to make the best use of it

    - by Earlz
    Hello, I am beginning to think that my next project I am wanting to do would work better with a NoSQL solution. The project would either involve a ton of 2-column tables or a ton of dynamic queries with dynamically generated columns in a traditional SQL database. So I feel a NoSQL database would be much cleaner. I'm looking at MongoDB and it looks pretty promising. Anyway, I'm attempting to make sense of it all. Also, I will be using MongoMapper in Ruby. Anyway though, I'm confused as to how to layout things in such a freeform database. I've read http://stackoverflow.com/questions/2170152/nosql-best-practices and the answer there says that normalization is usually bad in a NoSQL DB. So how would be the best way of laying out say a simple blog with users, posts, and comments? My natural thought was to have three collections for each and then link them by a unique ID. But this apparently is wrong? So, what are some of the ways to lay out such a thing? My concern with the answer given in the other question is, what if the author's name changed? You'd have to go through updating a ton of posts and comments. But is this an okay thing to do with NoSQL?

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  • MongoDB C# - Hide property from serializer

    - by ehftwelve
    This is what my user model looks like: namespace Api.Models { public class User { [BsonId(IdGenerator = typeof(StringObjectIdGenerator))] [BsonRequired] public string Id { get; set; } [Required(ErrorMessage = "Username is required.")] [StringLength(20, MinimumLength=3, ErrorMessage="Username must be between 3 and 20 characters.")] [BsonRequired] public string Username { get; set; } [Required(ErrorMessage="Email is required.")] [EmailAddress(ErrorMessage="Valid email required.")] [BsonRequired] public string Email { get; set; } [Required(ErrorMessage = "Password is required.")] [StringLength(50, MinimumLength=8, ErrorMessage="Password must be between 8 and 50 characters.")] [BsonRequired] public string Password { get; set; } [BsonRequired] public string Salt { get; set; } } } I want to write, and require, all of the properties into the MongoDB Database. What I don't want to do, is expose the Password and Salt properties when I send this through the request. Is there any sort of data attribute that I can set that will write it, but not expose it when displayed to any API user?

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  • I cannot access my mongodb from internet ,Anybody can help me?

    - by VicoWu110
    I am using Mongodb database ,which is installed in my ubuntu with the ip address 126.22.252.25. The ubuntu version info is Ubuntu 12.04.3 LTS. My mongodb use the default 27017 port .On this local machine , I can use command "mongo --host 126.22.252.25" on the local machine to access, but I cannot use this command on any other linux mathine to access the db,nor can I use "telnet 126.22.252.25 27017" on my windows machine.I am sure 126.22.252.25 machine is accessable from internet because I can use winSCP and secureCRT to login to it.I run command "netstat -tnlp" , it shows below: tcp 0 0 0.0.0.0:27017 0.0.0.0:* LISTEN I have already change the /ect/mongodb.conf file , modifying bind_ip parameter from 0.0.0.0 to 126.22.252.25 So ,anyone can help me?

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  • How do I network this Windows Failover Cluster and MongoDB Replica Set? (diagram inside)

    - by arex1337
    As you can see, my two Windows Server Failover Cluster (WSFC) nodes have three network interfaces each, which connects them to three different networks : A public network A private network consisting of the WSFC nodes A private network consisting of the WSFC nodes and a machine with the WSFC Quorum Witness File Share Does this network configuration I've planned, make sense? Do I have the "right" number of NICs and networks? I'm thinking the 2nd NIC/network may be unnecessary. My two MongoDB Replica Set nodes also have three network interfaces each - very similar to the previous situation: A public network A private network consisting of the primary and secondary MongoDB Replica Set nodes A private network consisting of the primary, secondary and arbiter MongoDB Replica Set nodes Does this network configuration, make sense? Do I have the "right" number of NICs and networks? I'm thinking the 2nd NIC/network may be unnecessary. Here is the simpler version I'm considering: UPDATE:

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  • SQL SERVER – Denali Feature – Zoom Query Editor

    - by pinaldave
    SQL Server next version ‘Denali’ is coming up with very neat feature which can be used while presentations, group discussion or for people who prefers large fonts. I have increased the font size to 400 percentage and for the same reason they are very large. You can adjust the font size which is convenient to you. One more reason to go for next version of SQL Server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology

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  • Adding an LOV to a query parameter (executeWithParams)

    - by shay.shmeltzer
    I showed in the past how you can use the executeWithParams operation to build your own query page to filter a view object to show specific rows. I also showed how you can make the parameter fields display as drop down lists of values (selectOneChoice). However this week someone asked me if you can have those parameter fields use the advanced LOV component. Well if you just try and drag the parameter over, you'll see that the LOV option is not there as a drop option. But with a little bit of hacking around you can achieve this. (without actual Java coding). Here is a quick demo:

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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 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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  • What database systems should an startup company consider?

    - by Am
    Right now I'm developing the prototype of a web application that aggregates large number of text entries from a large number of users. This data must be frequently displayed back and often updated. At the moment I store the content inside a MySQL database and use NHibernate ORM layer to interact with the DB. I've got a table defined for users, roles, submissions, tags, notifications and etc. I like this solution because it works well and my code looks nice and sane, but I'm also worried about how MySQL will perform once the size of our database reaches a significant number. I feel that it may struggle performing join operations fast enough. This has made me think about non-relational database system such as MongoDB, CouchDB, Cassandra or Hadoop. Unfortunately I have no experience with either. I've read some good reviews on MongoDB and it looks interesting. I'm happy to spend the time and learn if one turns out to be the way to go. I'd much appreciate any one offering points or issues to consider when going with none relational dbms?

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  • How can I join this 2 queries?(A select query with join and An unpivot query)

    - by MANG KANOR
    Here are my two queries SELECT EWND.Position, NKey = CASE WHEN ISNULL(Translation.Name, '') = '' THEN EWND.Name ELSE Translation.Name END, Unit = EW_N_DEF.Units FROM EWND INNER JOIN EW_N_DEF ON EW_N_DEF.Nutr_No = EWND.Nutr_No LEFT JOIN Translation ON Translation.CodeMain = EWND.Nutr_no WHERE Translation.CodeTrans = 1 ORDER BY EWND.Position And this is the unpivot one SELECT * FROM (SELECT N1,N2,N3,N4,N5,N6,N7,N8,N9,N10,N11,N12,N13,N14,N15,N16,N17,N18,N19,N20,N21,N22,N23,N24,N25,N26,N27,N28,N29,N30,N31,N32,N33,N34 FROM EWNVal WHERE Code=6035) Test UNPIVOT (Value FOR NUTCODE IN (N1,N2,N3,N4,N5,N6,N7,N8,N9,N10,N11,N12,N13,N14,N15,N16,N17,N18,N19,N20,N21,N22,N23,N24,N25,N26,N27,N28,N29,N30,N31,N32,N33,N34) )AS test Both Queries put out same number of rows but not columns, Is it possible to join this two? I tried the union but it has problems that I cant solve Thanks in advance!

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  • T-SQL Tuesday #13: Clarifying Requirements

    - by Alexander Kuznetsov
    When we transform initial ideas into clear requirements for databases, we typically have to make the following choices: Frequent maintenance vs doing it once. As we are clarifying the requirements, we need to determine whether we want to concinue spending considerable time maintaining the system, or if we want to finish it up and move on to other tasks. Race car maintenance vs installing electric wiring is my favorite analogy for this kind of choice. In some cases we need to sqeeze every last bit...(read more)

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  • Node.js mongoose: how to use the .in and .sort methods of a query?

    - by Chris
    Hi there, I'm trying to wrap my head around mongoose, but I'm having a hard time finding any kind of documentation for some of the more advanced query options, specifically the .in and .sort methods. What's the syntax for sorting, for example, a Person by age? db.model("Person").find().sort(???).all(function(people) { }); Then, let's say I want to find a Movie based on a genre, where a Movie can have many genres (in this case, an array of strings). Presumably, I'd use the .in function to accomplish that, but I'm not sure what the syntax would be. Or perhaps I don't have to use the .in method at all...? Either way, I'm lost. db.model("Movie").find().in(???).all(function(movies) { }); Anyone have any ideas? Or even better, a link to some comprehensive documentation? Thanks! Chris

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  • Saving in mongoDb with Mongoose, unexpected elements saved

    - by guiomie
    When I write in my mongoDB with mongoose the operation is treated with success, my document is saved, but there is also all kind of weird other sutff written down. It seems to be mongoose code. What could cause this? I add stuff in a specific array with: resultReference.ref[arrayLocation].allEvents.push(theEvent); {id: 11, allEvents: [] } is the structure of a ref element, and I push theEvent in the allEvents array. I then resultReference.save() I use express, mongoose and mongoHQ for database. I tried on a local mongo server, and this annoyance is still there. I've print in my console the document to write before save() and non of this weird code is there. { id 11 allEvents [ 0 { _events { maxListeners 0 } _doc { _id {"$oid": "4eb87834f54944e263000003"} title "Test" allDay false start 2011-11-10 13:00:00 UTC end 2011-11-10 15:00:00 UTC url "/test/4eb87834f54944e263000002" color "#99CCFF" ref "4eb87834f54944e263000002" } _activePaths { paths { title "modify" allDay "modify" start "modify" end "modify" url "modify" color "modify" ref "modify" } states { init { } modify { title true allDay true start true end true url true color true ref true } require { } } stateNames [ 0 "require" 1 "modify" 2 "init" ] } _saveError null _validationError null isNew true _pres { save [ 0 function (next) { // we keep the error semaphore to make sure we don't // call `save` unnecessarily (we only need 1 error) var subdocs = 0 , error = false , self = this; var arrays = this._activePaths .map('init', 'modify', function (i) { return self.getValue(i); }) .filter(function (val) { return (val && val instanceof DocumentArray && val.length); }); if (!arrays.length) return next(); arrays.forEach(function (array) { subdocs += array.length; array.forEach(function (value) { if (!error) value.save(function (err) { if (!error) { if (err) { error = true; next(err); } else --subdocs || next(); } }); }); }); } 1 "function checkForExistingErrors(next) { if (self._saveError){ next(self._saveError); self._saveError = null; } else { next(); } }" 2 "function validation(next) { return self.validate.call(self, next); }" ] } _posts { save [ ] } save function () { var self = this , hookArgs // arguments eventually passed to the hook - are mutable , lastArg = arguments[arguments.length-1] , pres = this._pres[name] , posts = this._posts[name] , _total = pres.length , _current = -1 , _asyncsLeft = proto[name].numAsyncPres , _next = function () { if (arguments[0] instanceof Error) { return handleError(arguments[0]); } var _args = Array.prototype.slice.call(arguments) , currPre , preArgs; if (_args.length && !(arguments[0] === null && typeof lastArg === 'function')) hookArgs = _args; if (++_current < _total) { currPre = pres[_current] if (currPre.isAsync && currPre.length < 2) throw new Error("Your pre must have next and done arguments -- e.g., function (next, done, ...)"); if (currPre.length < 1) throw new Error("Your pre must have a next argument -- e.g., function (next, ...)"); preArgs = (currPre.isAsync ? [once(_next), once(_asyncsDone)] : [once(_next)]).concat(hookArgs); return currPre.apply(self, preArgs); } else if (!proto[name].numAsyncPres) { return _done.apply(self, hookArgs); } } , _done = function () { var args_ = Array.prototype.slice.call(arguments) , ret, total_, current_, next_, done_, postArgs; if (_current === _total) { ret = fn.apply(self, args_); total_ = posts.length; current_ = -1; next_ = function () { if (arguments[0] instanceof Error) { return handleError(arguments[0]); } var args_ = Array.prototype.slice.call(arguments, 1) , currPost , postArgs; if (args_.length) hookArgs = args_; if (++current_ < total_) { currPost = posts[current_] if (currPost.length < 1) throw new Error("Your post must have a next argument -- e.g., function (next, ...)"); postArgs = [once(next_)].concat(hookArgs); return currPost.apply(self, postArgs); } }; if (total_) return next_(); return ret; } }; if (_asyncsLeft) { function _asyncsDone (err) { if (err && err instanceof Error) { return handleError(err); } --_asyncsLeft || _done.apply(self, hookArgs); } } function handleError (err) { if ('function' == typeof lastArg) return lastArg(err); if (errorCb) return errorCb.call(self, err); throw err; } return _next.apply(this, arguments); } errors null } ] } ]

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  • How to construct query to update nested array document in mongo?

    - by GowtGM
    I am having following document in mongo, { "_id" : ObjectId("506e9e54a4e8f51423679428"), "description" : "ffffffffffffffff", "menus" : [ { "_id" : ObjectId("506e9e5aa4e8f51423679429"), "description" : "ffffffffffffffffffff", "items" : [ { "name" : "xcvxc", "description" : "vxvxcvxc", "text" : "vxcvxcvx", "menuKey" : "0", "onSelect" : "1", "_id" : ObjectId("506e9f07a4e8f5142367942f") } , { "name" : "abcd", "description" : "qqq", "text" : "qqq", "menuKey" : "0", "onSelect" : "3", "_id" : ObjectId("507e9f07a4e8f5142367942f") } ] }, { "_id" : ObjectId("506e9e5aa4e8f51423679429"), "description" : "rrrrr", "items" : [ { "name" : "xcc", "description" : "vx", "text" : "vxc", "menuKey" : "0", "onSelect" : "2", "_id" : ObjectId("506e9f07a4e8f5142367942f") } ] } ] } Now , i want to update the following document : { "name" : "abcd", "description" : "qqq", "text" : "qqq", "menuKey" : "0", "onSelect" : "3", "_id" : ObjectId("507e9f07a4e8f5142367942f") } I am having main documnet id: "_id" : ObjectId("506e9e54a4e8f51423679428") and menus id "_id" : ObjectId("506e9e54a4e8f51423679428") as well as items id "_id" : ObjectId("507e9f07a4e8f5142367942f") which is to be updated. I have tried using the following query: db.collection.update({ "_id" : { "$oid" : "506e9e54a4e8f51423679428"} , "menus._id" : { "$oid" : "506e9e5aa4e8f51423679429"}},{ "$set" : { "menus.$.items" : { "_id" : { "$oid" : "506e9f07a4e8f5142367942f"}} , "menus.$.items.$.name" : "xcvxc66666", ...}},false,false); but its not working...

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  • directoryperdb issue

    - by Rich Blumer
    I installed MongoDB to run as a Windows Service on Win 7 and everything runs well. However, when I attempt to use the command --directoryperdb, it does not recognize this command. Does anyone know how to resolve this issue?

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  • How find all overlapping circles from radius of central circle?

    - by roza
    How to do an intersection or overlap query in mongo shell - what circles overlap my search region? Within relate only to the center position but doesn't include radius of the other circles in searched scope. Mongo: # My bad conception: var search = [[30, 30], 10] db.places.find({circle : {"$within" : {"$center" : [search]}}}) Now I can obtain only this circles within central point lies in searched area of circle: Ruby: # field :circle, type: Circle # eg. [ [ 30, 30 ], 10 ] field :radius, type: Integer field :location, :type => Array, :spatial => true spatial_index :location Places.within_circle(location: [ [ 30, 30 ], 10 ]) # {"$query"=>{"location"=>{"$within"=>{"$center"=>[[30, 30], 10]}}} I created example data with additional location (special index) and radius instead circle because circle isn't supported by mongodb geo index: { "_id" : 1, "name" : "a", "circle" : [ [ 5, 5 ], 40 ], "latlng" : [ 5, 5 ], "radius" : 40 } { "_id" : 2, "name" : "b", "circle" : [ [ 10, 10 ], 5 ], "latlng" : [ 10, 10 ], "radius" : 5 } { "_id" : 3, "name" : "c", "circle" : [ [ 20, 20 ], 5 ], "latlng" : [ 20, 20 ], "radius" : 5 } { "_id" : 4, "name" : "d", "circle" : [ [ 30, 30 ], 50 ], "latlng" : [ 30, 30 ], "radius" : 50} { "_id" : 5, "name" : "e", "circle" : [ [ 80, 80 ], 30 ], "latlng" : [ 80, 80 ], "radius" : 30} { "_id" : 6, "name" : "f", "circle" : [ [ 80, 80 ], 20 ], "latlng" : [ 80, 80 ], "radius" : 20} Desired query result: { "_id" : 1, "name" : "a", "circle" : [ [ 5, 5 ], 40 ], "latlng" : [ 5, 5 ], "radius" : 40 } { "_id" : 3, "name" : "c", "circle" : [ [ 20, 20 ], 5 ], "latlng" : [ 20, 20 ], "radius" : 5 } { "_id" : 4, "name" : "d", "circle" : [ [ 30, 30 ], 50 ], "latlng" : [ 30, 30 ], "radius" : 50} { "_id" : 5, "name" : "e", "circle" : [ [ 80, 80 ], 30 ], "latlng" : [ 80, 80 ], "radius" : 30} Solution below assumes that I get all rows and then filter on the ruby side my radius but it returns only: { "_id" : 4, "name" : "d", "circle" : [ [ 30, 30 ], 50 ], "latlng" : [ 30, 30 ], "radius" : 50}

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  • Function Folding in #PowerQuery

    - by Darren Gosbell
    Originally posted on: http://geekswithblogs.net/darrengosbell/archive/2014/05/16/function-folding-in-powerquery.aspxLooking at a typical Power Query query you will noticed that it's made up of a number of small steps. As an example take a look at the query I did in my previous post about joining a fact table to a slowly changing dimension. It was roughly built up of the following steps: Get all records from the fact table Get all records from the dimension table do an outer join between these two tables on the business key (resulting in an increase in the row count as there are multiple records in the dimension table for each business key) Filter out the excess rows introduced in step 3 remove extra columns that are not required in the final result set. If Power Query was to execute a query like this literally, following the same steps in the same order it would not be overly efficient. Particularly if your two source tables were quite large. However Power Query has a feature called function folding where it can take a number of these small steps and push them down to the data source. The degree of function folding that can be performed depends on the data source, As you might expect, relational data sources like SQL Server, Oracle and Teradata support folding, but so do some of the other sources like OData, Exchange and Active Directory. To explore how this works I took the data from my previous post and loaded it into a SQL database. Then I converted my Power Query expression to source it's data from that database. Below is the resulting Power Query which I edited by hand so that the whole thing can be shown in a single expression: let     SqlSource = Sql.Database("localhost", "PowerQueryTest"),     BU = SqlSource{[Schema="dbo",Item="BU"]}[Data],     Fact = SqlSource{[Schema="dbo",Item="fact"]}[Data],     Source = Table.NestedJoin(Fact,{"BU_Code"},BU,{"BU_Code"},"NewColumn"),     LeftJoin = Table.ExpandTableColumn(Source, "NewColumn"                                   , {"BU_Key", "StartDate", "EndDate"}                                   , {"BU_Key", "StartDate", "EndDate"}),     BetweenFilter = Table.SelectRows(LeftJoin, each (([Date] >= [StartDate]) and ([Date] <= [EndDate])) ),     RemovedColumns = Table.RemoveColumns(BetweenFilter,{"StartDate", "EndDate"}) in     RemovedColumns If the above query was run step by step in a literal fashion you would expect it to run two queries against the SQL database doing "SELECT * …" from both tables. However a profiler trace shows just the following single SQL query: select [_].[BU_Code],     [_].[Date],     [_].[Amount],     [_].[BU_Key] from (     select [$Outer].[BU_Code],         [$Outer].[Date],         [$Outer].[Amount],         [$Inner].[BU_Key],         [$Inner].[StartDate],         [$Inner].[EndDate]     from [dbo].[fact] as [$Outer]     left outer join     (         select [_].[BU_Key] as [BU_Key],             [_].[BU_Code] as [BU_Code2],             [_].[BU_Name] as [BU_Name],             [_].[StartDate] as [StartDate],             [_].[EndDate] as [EndDate]         from [dbo].[BU] as [_]     ) as [$Inner] on ([$Outer].[BU_Code] = [$Inner].[BU_Code2] or [$Outer].[BU_Code] is null and [$Inner].[BU_Code2] is null) ) as [_] where [_].[Date] >= [_].[StartDate] and [_].[Date] <= [_].[EndDate] The resulting query is a little strange, you can probably tell that it was generated programmatically. But if you look closely you'll notice that every single part of the Power Query formula has been pushed down to SQL Server. Power Query itself ends up just constructing the query and passing the results back to Excel, it does not do any of the data transformation steps itself. So now you can feel a bit more comfortable showing Power Query to your less technical Colleagues knowing that the tool will do it's best fold all the  small steps in Power Query down the most efficient query that it can against the source systems.

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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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