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• Java EE 6 and NoSQL/MongoDB on GlassFish using JPA and EclipseLink 2.4 (TOTD #175)

  - by arungupta

  TOTD #166 explained how to use MongoDB in your Java EE 6 applications. The code in that tip used the APIs exposed by the MongoDB Java driver and so requires you to learn a new API. However if you are building Java EE 6 applications then you are already familiar with Java Persistence API (JPA). Eclipse Link 2.4, scheduled to release as part of Eclipse Juno, provides support for NoSQL databases by mapping a JPA entity to a document. Their wiki provides complete explanation of how the mapping is done. This Tip Of The Day (TOTD) will show how you can leverage that support in your Java EE 6 applications deployed on GlassFish 3.1.2. Before we dig into the code, here are the key concepts ... A POJO is mapped to a NoSQL data source using @NoSQL or <no-sql> element in "persistence.xml". A subset of JPQL and Criteria query are supported, based upon the underlying data store Connection properties are defined in "persistence.xml" Now, lets lets take a look at the code ... Download the latest EclipseLink 2.4 Nightly Bundle. There is a Installer, Source, and Bundle - make sure to download the Bundle link (20120410) and unzip. Download GlassFish 3.1.2 zip and unzip. Install the Eclipse Link 2.4 JARs in GlassFish Remove the following JARs from "glassfish/modules": org.eclipse.persistence.antlr.jar org.eclipse.persistence.asm.jar org.eclipse.persistence.core.jar org.eclipse.persistence.jpa.jar org.eclipse.persistence.jpa.modelgen.jar org.eclipse.persistence.moxy.jar org.eclipse.persistence.oracle.jar Add the following JARs from Eclipse Link 2.4 nightly build to "glassfish/modules": org.eclipse.persistence.antlr_3.2.0.v201107111232.jar org.eclipse.persistence.asm_3.3.1.v201107111215.jar org.eclipse.persistence.core.jpql_2.4.0.v20120407-r11132.jar org.eclipse.persistence.core_2.4.0.v20120407-r11132.jar org.eclipse.persistence.jpa.jpql_2.0.0.v20120407-r11132.jar org.eclipse.persistence.jpa.modelgen_2.4.0.v20120407-r11132.jar org.eclipse.persistence.jpa_2.4.0.v20120407-r11132.jar org.eclipse.persistence.moxy_2.4.0.v20120407-r11132.jar org.eclipse.persistence.nosql_2.4.0.v20120407-r11132.jar org.eclipse.persistence.oracle_2.4.0.v20120407-r11132.jar Start MongoDB Download latest MongoDB from here (2.0.4 as of this writing). Create the default data directory for MongoDB as: sudo mkdir -p /data/db/sudo chown `id -u` /data/db Refer to Quickstart for more details. Start MongoDB as: arungup-mac:mongodb-osx-x86_64-2.0.4 <arungup> ->./bin/mongod./bin/mongod --help for help and startup optionsMon Apr  9 12:56:02 [initandlisten] MongoDB starting : pid=3124 port=27017 dbpath=/data/db/ 64-bit host=arungup-mac.localMon Apr  9 12:56:02 [initandlisten] db version v2.0.4, pdfile version 4.5Mon Apr  9 12:56:02 [initandlisten] git version: 329f3c47fe8136c03392c8f0e548506cb21f8ebfMon Apr  9 12:56:02 [initandlisten] build info: Darwin erh2.10gen.cc 9.8.0 Darwin Kernel Version 9.8.0: Wed Jul 15 16:55:01 PDT 2009; root:xnu-1228.15.4~1/RELEASE_I386 i386 BOOST_LIB_VERSION=1_40Mon Apr  9 12:56:02 [initandlisten] options: {}Mon Apr  9 12:56:02 [initandlisten] journal dir=/data/db/journalMon Apr  9 12:56:02 [initandlisten] recover : no journal files present, no recovery neededMon Apr  9 12:56:02 [websvr] admin web console waiting for connections on port 28017Mon Apr  9 12:56:02 [initandlisten] waiting for connections on port 27017 Check out the JPA/NoSQL sample from SVN repository. The complete source code built in this TOTD can be downloaded here. Create Java EE 6 web app Create a Java EE 6 Maven web app as: mvn archetype:generate -DarchetypeGroupId=org.codehaus.mojo.archetypes -DarchetypeArtifactId=webapp-javaee6 -DgroupId=model -DartifactId=javaee-nosql -DarchetypeVersion=1.5 -DinteractiveMode=false Copy the model files from the checked out workspace to the generated project as: cd javaee-nosqlcp -r ~/code/workspaces/org.eclipse.persistence.example.jpa.nosql.mongo/src/model src/main/java Copy "persistence.xml" mkdir src/main/resources cp -r ~/code/workspaces/org.eclipse.persistence.example.jpa.nosql.mongo/src/META-INF ./src/main/resources Add the following dependencies: <dependency> <groupId>org.eclipse.persistence</groupId> <artifactId>org.eclipse.persistence.jpa</artifactId> <version>2.4.0-SNAPSHOT</version> <scope>provided</scope></dependency><dependency> <groupId>org.eclipse.persistence</groupId> <artifactId>org.eclipse.persistence.nosql</artifactId> <version>2.4.0-SNAPSHOT</version></dependency><dependency> <groupId>org.mongodb</groupId> <artifactId>mongo-java-driver</artifactId> <version>2.7.3</version></dependency> The first one is for the EclipseLink latest APIs, the second one is for EclipseLink/NoSQL support, and the last one is the MongoDB Java driver. And the following repository: <repositories> <repository> <id>EclipseLink Repo</id> <url>http://www.eclipse.org/downloads/download.php?r=1&amp;nf=1&amp;file=/rt/eclipselink/maven.repo</url> <snapshots> <enabled>true</enabled> </snapshots> </repository>  </repositories> Copy the "Test.java" to the generated project: mkdir src/main/java/examplecp -r ~/code/workspaces/org.eclipse.persistence.example.jpa.nosql.mongo/src/example/Test.java ./src/main/java/example/ This file contains the source code to CRUD the JPA entity to MongoDB. This sample is explained in detail on EclipseLink wiki. Create a new Servlet in "example" directory as: package example;import java.io.IOException;import java.io.PrintWriter;import javax.servlet.ServletException;import javax.servlet.annotation.WebServlet;import javax.servlet.http.HttpServlet;import javax.servlet.http.HttpServletRequest;import javax.servlet.http.HttpServletResponse;/** * @author Arun Gupta */@WebServlet(name = "TestServlet", urlPatterns = {"/TestServlet"})public class TestServlet extends HttpServlet { protected void processRequest(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { response.setContentType("text/html;charset=UTF-8"); PrintWriter out = response.getWriter(); try { out.println("<html>"); out.println("<head>"); out.println("<title>Servlet TestServlet</title>"); out.println("</head>"); out.println("<body>"); out.println("<h1>Servlet TestServlet at " + request.getContextPath() + "</h1>"); try { Test.main(null); } catch (Exception ex) { ex.printStackTrace(); } out.println("</body>"); out.println("</html>"); } finally { out.close(); } } @Override protected void doGet(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { processRequest(request, response); } @Override protected void doPost(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { processRequest(request, response); }} Build the project and deploy it as: mvn clean packageglassfish3/bin/asadmin deploy --force=true target/javaee-nosql-1.0-SNAPSHOT.war Accessing http://localhost:8080/javaee-nosql/TestServlet shows the following messages in the server.log: connecting(EISLogin( platform=> MongoPlatform user name=> "" MongoConnectionSpec())) . . .Connected: User: Database: 2.7  Version: 2.7 . . .Executing MappedInteraction() spec => null properties => {mongo.collection=CUSTOMER, mongo.operation=INSERT} input => [DatabaseRecord( CUSTOMER._id => 4F848E2BDA0670307E2A8FA4 CUSTOMER.NAME => AMCE)]. . .Data access result: [{TOTALCOST=757.0, ORDERLINES=[{DESCRIPTION=table, LINENUMBER=1, COST=300.0}, {DESCRIPTION=balls, LINENUMBER=2, COST=5.0}, {DESCRIPTION=rackets, LINENUMBER=3, COST=15.0}, {DESCRIPTION=net, LINENUMBER=4, COST=2.0}, {DESCRIPTION=shipping, LINENUMBER=5, COST=80.0}, {DESCRIPTION=handling, LINENUMBER=6, COST=55.0},{DESCRIPTION=tax, LINENUMBER=7, COST=300.0}], SHIPPINGADDRESS=[{POSTALCODE=L5J1H7, PROVINCE=ON, COUNTRY=Canada, CITY=Ottawa,STREET=17 Jane St.}], VERSION=2, _id=4F848E2BDA0670307E2A8FA8,DESCRIPTION=Pingpong table, CUSTOMER__id=4F848E2BDA0670307E2A8FA7, BILLINGADDRESS=[{POSTALCODE=L5J1H8, PROVINCE=ON, COUNTRY=Canada, CITY=Ottawa, STREET=7 Bank St.}]}] You'll not see any output in the browser, just the output in the console. But the code can be easily modified to do so. Once again, the complete Maven project can be downloaded here. Do you want to try accessing relational and non-relational (aka NoSQL) databases in the same PU ?

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• Mongodb - how to deserialze when a property has an Interface return type

  - by Mark Kelly

  I'm attempting to avoid introducing any dependencies between my Data layer and client code that makes use of this layer, but am running into some problems when attempting to do this with Mongo (using the MongoRepository) MongoRepository shows examples where you create Types that reflect your data structure, and inherit Entity where required. Eg. [CollectionName("track")] public class Track : Entity { public string name { get; set; } public string hash { get; set; } public Artist artist { get; set; } public List<Publish> published {get; set;} public List<Occurence> occurence {get; set;} } In order to make use of these in my client code, I'd like to replace the Mongo-specific types with Interfaces, e.g: [CollectionName("track")] public class Track : Entity, ITrackEntity { public string name { get; set; } public string hash { get; set; } public IArtistEntity artist { get; set; } public List<IPublishEntity> published {get; set;} public List<IOccurenceEntity> occurence {get; set;} } However, the Mongo driver doesn't know how to treat these interfaces, and I understandably get the following error: An error occurred while deserializing the artist property of class sf.data.mongodb.entities.Track: No serializer found for type sf.data.IArtistEntity. --- MongoDB.Bson.BsonSerializationException: No serializer found for type sf.data.IArtistEntity. Does anyone have any suggestions about how I should approach this?

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• How to tune system settings for mongoDB on Linux?

  - by jsh

  Trying to squeeze a lot out of one question here -- please bear with me. Although the MongoDB man pages make several useful recommendations about system settings like ulimit (http://docs.mongodb.org/manual/reference/ulimit/), and other production factors (http://docs.mongodb.org/manual/administration/production-notes/) they seem mysteriously silent on things like virtual memory and swap settings. The closest we get to a hint is that "...the operating system’s virtual memory subsystem manages MongoDB’s memory..." (http://docs.mongodb.org/manual/faq/fundamentals/#does-mongodb-require-a-lot-of-ram). Running the same job - high writes and high reads on about 10,000,000 records in a single collection -- on my 4-processor, 4GB RAM macbook and an 8-core ubuntu box with 64GB RAM I saw dramatically WORSE read performance on the linux box with factory settings, and could hear the disk constantly spinning, indicating high I/O and presumably swapping. Yes, other things were happening on the box, but there was plenty of free RAM, disk space, etc.; furthermore, I did not see evidence that Mongo was expanding to take advantage of all that free RAM as it is touted to do. Linux box default settings were as follows: vm.swappiness =60 vm.dirty_background_ratio = 10 vm.dirty_ratio = 20 vm.dirty_expire_centisecs =3000 vm.dirty_writeback_centisecs=500 I hazarded some guesses looking at docs and blogs for other types of databases (Oracle, MYSQL, etc.), experimented, and adjusted as below. vm.swappiness=10 vm.dirty_background_ratio=5 vm.dirty_ratio=5 vm.dirty_writeback_centisecs=250 vm.dirty_expire_centisecs=500 I saw some immediate apparent improvements in read time. However, when I ran my test jobs again, read performance continued to be painfully sluggish during heavy writes. Then, I REBUILT the collection from an available data source - and suddenly I can read at 1ms or less per record WHILE doing the write job! So the question is really two-fold: 1) What are appropriate VM settings for MongoDB on Linux? 2) (bonus) Does Mongo do some checking or optimization with the OS while data is being built? In other words, if I have built a large data set with suboptimal VM or I/O settings, does Mongo make assumptions during the memory-mapping process that will fail to take advantage of optimizations down the road? Obviously I don't fully grok memory mapping under the hood (I was hoping I wouldn't have to). Any help appreciated...thanks! -j

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• How to install mongoDB on windows?

  - by Industrial

  Hi! I am trying to test out mongoDB and see if it is anything for me. I downloaded the 32bit windows version, but have no idea on how to continue from now on. I normally use the WAMP services for developing on my local computer. Can i run mongoDB on Wamp? However, what's the best (easiest!) way to make it work on windows? Thanks!

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• Getting geospatial indexes to work in MongoDB 1.4.3

  - by Marcel J.

  I wanted to try geospatial indexes with MongoDB, but all I get is > db.map_nodes.find( { coodinate: { $near: [54, 10] } } ) error: { "$err" : "invalid operator: $near" } and > db.map_nodes.runCommand({geoNear:"coordinates", near:[50,50]}) { "errmsg" : "no such cmd", "bad cmd" : { "geoNear" : "coordinates", "near" : [ 50, 50 ] }, "ok" : 0 } I am using MongoDB 1.4.3. What am I doing wrong?

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• Data aggregation mongodb vs mysql

  - by Dimitris Stefanidis

  I am currently researching on a backend to use for a project with demanding data aggregation requirements. The main project requirements are the following. Store millions of records for each user. Users might have more than 1 million entries per year so even with 100 users we are talking about 100 million entries per year. Data aggregation on those entries must be performed on the fly. The users need to be able to filter on the entries by a ton of available filters and then present summaries (totals , averages e.t.c) and graphs on the results. Obviously I cannot precalculate any of the aggregation results because the filter combinations (and thus the result sets) are huge. Users are going to have access on their own data only but it would be nice if anonymous stats could be calculated for all the data. The data is going to be most of the time in batch. e.g the user will upload the data every day and it could like 3000 records. In some later version there could be automated programs that upload every few minutes in smaller batches of 100 items for example. I made a simple test of creating a table with 1 million rows and performing a simple sum of 1 column both in mongodb and in mysql and the performance difference was huge. I do not remember the exact numbers but it was something like mysql = 200ms , mongodb = 20 sec. I have also made the test with couchdb and had much worse results. What seems promising speed wise is cassandra which I was very enthusiastic about when I first discovered it. However the documentation is scarce and I haven't found any solid examples on how to perform sums and other aggregate functions on the data. Is that possible ? As it seems from my test (Maybe I have done something wrong) with the current performance its impossible to use mongodb for such a project although the automated sharding functionality seems like a perfect fit for it. Does anybody have experience with data aggregation in mongodb or have any insights that might be of help for the implementation of the project ? Thanks, Dimitris

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• Connect to Mongodb in python

  - by SpawnCxy

  I'm a little confused by the document when I tried to connect to the Mongodb.And I find it's different from mysql.I want to create a new database named "mydb" and insert some posts into it.The follows is what I'm trying. from pymongo.connection import Connection import datetime host = 'localhost' port = 27017 user = 'ucenter' passwd = '123' connection = Connection(host,port) db = connection['mydb'] post = {'author':'mike', 'text':'my first blog post!', 'tags':['mongodb','python','pymongo'], 'date':datetime.datetime.utcnow()} posts = db.posts posts.insert(post) #print str(db.collection_names()) And I got an error as pymongo.errors.OperationFailure: database error: unauthorized.How can I do the authorizing part?Thanks.

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• PHP can't connect to Mongodb

  - by mdm414

  Hi, I followed the windows installation instructions in mongodb's website but I still can't connect to MongoDB through PHP because of this error: Class 'Mongo' not found Why isn't the file containing the Mongo Class not being loaded? I've also found this error: PHP Warning: PHP Startup: mongo: Unable to initialize module Module compiled with module API=20090626, debug=0, thread-safety=1 PHP compiled with module API=20060613, debug=0, thread-safety=1 These options need to match in Unknown on line 0 I'm using php 5.2.5 and the mongo-php-driver is Windows PHP 5.2 VC6 thread safe Thanks

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• MongoDB and visual C++ 2008 linker errors

  - by pedlar

  i'm trying to get the c++ client for mongodb working in visual studio 2008. i can reference the includes, but whenever i tell the linker about the mongodb .lib file i get the following error: "fatal error LNK1257: code generation failed". if visual studio can't find the .lib, then i get a bunch of unresolved externals errors. i'm really pretty lost at this point.

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• How I know my document's size inside MongoDB with the ruby driver

  - by shingara

  Hi, The limitation of one document in MongoDB is 4Mo. I have some documents really heavy with a lot of data. How I know my document's size inside MongoDB with the ruby driver ?

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• Two Phase Commit with MongoDB

  - by mattcodes

  Heres what Im thinking. Do you see any issues with this workaround to emulate 2 phase commit when using something like MongoDB where each operation is atomic and there is no support for transactions outside of that? transaction_scope: read message from servicebus - UpdateCustomerAddress get customer aggregate from docdb, replay events where commited =1 call customer.updateAddress validates creates customer address updated event apply event event store as uncommitted events do optimistic concurrency update against docdb pushing uncommitted events (single op to ensure consistency) publish event to service bus update docdb set events just published to commited = 1 (again one 1 op - at least in mongodb) transaction_complete

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• Haskell, mongodb, date

  - by r.sendecky

  How would I insert or auto insert date into mongodb from haskell? What is the best way to convert from mongo date type to haskell data type? Say, in a situation where I insert blog post records (any haskell web framework) and I want to date stamp every record automatically. How would I go about it? The question is more about type conversion and mongodb date type creation from within haskell driver.

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• mongodb insert and return id with REST API

  - by abhi

  New to Mongodb,trying to get _id after mongodb insert without a round trip. $.ajax( { url: "https://api.mongolab.com/api/1/databases/xxx/collections/xx?apiKey=xxx", data: JSON.stringify( [ { "x" : 2,"c1" : 34,"c2" : getUrlVars()["c2"]} ] ), type: "POST", contentType: "application/json" } ); Thanks edit: Solved buy removing square bracers JSON.stringify( { "x" : 2,"c1" : 34,"c2" : getUrlVars()["c2"]} )

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• PHP + Mongodb error

  - by mdm414

  Hi, I followed the windows installation instructions in mongodb's website but I still can't connect to MongoDB through PHP because of this error: Class 'Mongo' not found Why isn't the file containing the Mongo Class not being loaded? Thanks

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• A list of indices in MongoDB?

  - by Timmy

  Is there a way to see a list of indices on a collection in mongodb in shell? i read through http://www.mongodb.org/display/DOCS/Indexes but i dont see anything

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• how to Solve the "Digg" problem in MongoDB

  - by user193116

  A while back,a Digg developer had posted this blog ,"http://about.digg.com/blog/looking-future-cassandra", where the he described one of the issues that were not optimally solved in MySQL. This was cited as one of the reasons for their move to Cassandra. I have been playing with MongoDB and I would like to understand how to implement the MongoDB collections for this problem From the article, the schema for this information in MySQL : CREATE TABLE Diggs ( id INT(11), itemid INT(11), userid INT(11), digdate DATETIME, PRIMARY KEY (id), KEY user (userid), KEY item (itemid) ) ENGINE=InnoDB DEFAULT CHARSET=utf8; CREATE TABLE Friends ( id INT(10) AUTO_INCREMENT, userid INT(10), username VARCHAR(15), friendid INT(10), friendname VARCHAR(15), mutual TINYINT(1), date_created DATETIME, PRIMARY KEY (id), UNIQUE KEY Friend_unique (userid,friendid), KEY Friend_friend (friendid) ) ENGINE=InnoDB DEFAULT CHARSET=utf8; This problem is ubiquitous in social networking scenario implementation. People befriend a lot of people and they in turn digg a lot of things. Quickly showing a user what his/her friends are up to is very critical. I understand that several blogs have since then provided a pure RDBMs solution with indexes for this issue; however I am curious as to how this could be solved in MongoDB.

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• What is the standard system architecture for MongoDB

  - by learner

  I know this question is too vague, so I would like to add some key numbers to give insights about what the scenario is Each Document size - 360KB Total Documents - 1.5 million Document created/day - 2k read intensive - YES Availability requirement - HIGH With these requirements in mind, here is what I believe should be the architecture, but not too sure, please share your experiences and point me to right directions 2 Linux Box(Ubuntu 11 would do)(on a different rack setup for availability) 64-bit Mongo Database 1-master(for read/wr1te) and 1-slave(read-only with replication ON) Sharding not needed at this point in time Thank you in advance

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• Replicated MongoDB server slower than simple shards

  - by displayName

  I tried to compare the performance of a sharded configuration against a sharded and replicated configuration. The sharded configuration consists of 8 shards each running on three different machines thereby constituting a total of 24 shards. All 8 of these shards run in the same partition on each machine. The sharded and replicated version is 8 shards again just like plain sharding, and all 8 mongods run on the same partition in each machine. But apart from this, each of these three machine now run additional 16 threads on another partition which serve as the secondary for the 8 mongods running on other machines. This is the way I prepared a sharded and replicated configuration with data chunks having replication factor of 3. Important point to note is that once the data has been loaded, it is not modified. So after primary and secondaries have synchronized then it doesn't matter which one i read from. To run the queries, I use an entirely different machine (let's call it config) which runs mongos and this machine's only purpose is to receive queries and run them on the cluster. Contrary to my expectations, plain sharding of 8 threads on each machine (total = 3 * 8 = 24) is performing better for queries than the sharded + replicated configuration. I have a script written to perform the query. So in order to time the scripts, I use time ./testScript and see the result. I tried changing the reading preference for replicated cluster by logging to mongo of config and run db.getMongo().setReadPref('secondary') and then exit the shell and run the queries like time ./testScript. The questions are: Where am i going wrong in the replication? Why is it slower than its plain sharding version? Does the db.getMongo().ReadPref('secondary') persist when i leave the shell and try to perform the query? All the four machines are running Linux and i have already increased the ulimit -n to 2048 from initial value of 1024 to allow more connections. The collections are properly distributed and all the mongods have equal number of chunks. Goes without saying that indices in both configurations are the same.

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• Mongodb Slave replication lag

  - by Leonid Bugaev

  We using standard mongo setup: 2 replicas + 1 arbiter. Both replica servers use same AWS m1.medium with RAID10 EBS. We experiencing constantly growing replication lag on secondary replica. I tried to do full-resync, you can see it on graph, but it helped only for some hours. Our mongo usage is really low now, and frankly i can't understan why it can be. iostat 1 for secondary: avg-cpu: %user %nice %system %iowait %steal %idle 80.39 0.00 2.94 0.00 16.67 0.00 Device: tps kB_read/s kB_wrtn/s kB_read kB_wrtn xvdap1 0.00 0.00 0.00 0 0 xvdb 0.00 0.00 0.00 0 0 xvdfp4 12.75 0.00 189.22 0 193 xvdfp3 12.75 0.00 189.22 0 193 xvdfp2 7.84 0.00 40.20 0 41 xvdfp1 7.84 0.00 40.20 0 41 md127 19.61 0.00 219.61 0 224 mongostat for secondary (why 100% locks? i guess its the problem): insert query update delete getmore command flushes mapped vsize res faults locked % idx miss % qr|qw ar|aw netIn netOut conn set repl time *10 *0 *16 *0 0 2|4 0 30.9g 62.4g 1.65g 0 107 0 0|0 0|0 198b 1k 16 replset-01 SEC 06:55:37 *4 *0 *8 *0 0 12|0 0 30.9g 62.4g 1.65g 0 91.7 0 0|0 0|0 837b 5k 16 replset-01 SEC 06:55:38 *4 *0 *7 *0 0 3|0 0 30.9g 62.4g 1.64g 0 110 0 0|0 0|0 342b 1k 16 replset-01 SEC 06:55:39 *4 *0 *8 *0 0 1|0 0 30.9g 62.4g 1.64g 0 82.9 0 0|0 0|0 62b 1k 16 replset-01 SEC 06:55:40 *3 *0 *7 *0 0 5|0 0 30.9g 62.4g 1.6g 0 75.2 0 0|0 0|0 466b 2k 16 replset-01 SEC 06:55:41 *4 *0 *7 *0 0 1|0 0 30.9g 62.4g 1.64g 0 138 0 0|0 0|1 62b 1k 16 replset-01 SEC 06:55:42 *7 *0 *15 *0 0 3|0 0 30.9g 62.4g 1.64g 0 95.4 0 0|0 0|0 342b 1k 16 replset-01 SEC 06:55:43 *7 *0 *14 *0 0 1|0 0 30.9g 62.4g 1.64g 0 98 0 0|0 0|0 62b 1k 16 replset-01 SEC 06:55:44 *8 *0 *17 *0 0 3|0 0 30.9g 62.4g 1.64g 0 96.3 0 0|0 0|0 342b 1k 16 replset-01 SEC 06:55:45 *7 *0 *14 *0 0 3|0 0 30.9g 62.4g 1.64g 0 96.1 0 0|0 0|0 186b 2k 16 replset-01 SEC 06:55:46 mongostat for primary insert query update delete getmore command flushes mapped vsize res faults locked % idx miss % qr|qw ar|aw netIn netOut conn set repl time 12 30 20 0 0 3 0 30.9g 62.6g 641m 0 0.9 0 0|0 0|0 212k 619k 48 replset-01 M 06:56:41 5 17 10 0 0 2 0 30.9g 62.6g 641m 0 0.5 0 0|0 0|0 159k 429k 48 replset-01 M 06:56:42 9 22 16 0 0 3 0 30.9g 62.6g 642m 0 0.7 0 0|0 0|0 158k 276k 48 replset-01 M 06:56:43 6 18 12 0 0 2 0 30.9g 62.6g 640m 0 0.7 0 0|0 0|0 93k 231k 48 replset-01 M 06:56:44 6 12 8 0 0 3 0 30.9g 62.6g 640m 0 0.3 0 0|0 0|0 80k 125k 48 replset-01 M 06:56:45 8 21 14 0 0 9 0 30.9g 62.6g 641m 0 0.6 0 0|0 0|0 118k 419k 48 replset-01 M 06:56:46 10 34 20 0 0 6 0 30.9g 62.6g 640m 0 1.3 0 0|0 0|0 164k 527k 48 replset-01 M 06:56:47 6 21 13 0 0 2 0 30.9g 62.6g 641m 0 0.7 0 0|0 0|0 111k 477k 48 replset-01 M 06:56:48 8 21 15 0 0 2 0 30.9g 62.6g 641m 0 0.7 0 0|0 0|0 204k 336k 48 replset-01 M 06:56:49 4 12 8 0 0 8 0 30.9g 62.6g 641m 0 0.5 0 0|0 0|0 156k 530k 48 replset-01 M 06:56:50 Mongo version: 2.0.6

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• How to get the MongoDB' current working set size

  - by Howard

  From the doc , it said "For best performance, the majority of your active set should fit in RAM." So for example, my db.stats() give me { "db" : "mydb", "collections" : 16, "objects" : 21452, "avgObjSize" : 768.0516501957859, "dataSize" : 16476244, "storageSize" : 25385984, "numExtents" : 43, "indexes" : 70, "indexSize" : 15450112, "fileSize" : 469762048, "ok" : 1 } Which value is the working set size?

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• mongodb replication: no primary elected

  - by Max

  I have three servers with mongod installed on it running as a replication set. Suddenly the two secondories became unavailable (the mongod process died) - I think because they were too stale. The problem is that the original PRIMARY is now the SECONDARY and my application doesn't work because it can't connect to a PRIMARY. I mean, in which way does that help me? If the replica set can't do failover?! Am I missing something? Furhtermore I am asking myself why did the SECONDARIES die / why are they too stale? What can I do about it? FYI: My database is quite big (40GB on disk).

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• MongoDB Schema Design - Real-time Chat

  - by Nick

  I'm starting a project which I think will be particularly suited to MongoDB due to the speed and scalability it affords. The module I'm currently interested in is to do with real-time chat. If I was to do this in a traditional RDBMS I'd split it out into: Channel (A channel has many users) User (A user has one channel but many messages) Message (A message has a user) The the purpose of this use case, I'd like to assume that there will be typically 5 channels active at one time, each handling at most 5 messages per second. Specific queries that need to be fast: Fetch new messages (based on an bookmark, time stamp maybe, or an incrementing counter?) Post a message to a channel Verify that a user can post in a channel Bearing in mind that the document limit with MongoDB is 4mb, how would you go about designing the schema? What would yours look like? Are there any gotchas I should watch out for?

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• Migrating from SQLAlchemy to MongoDB in Pylons

  - by Timmy

  Is there a migration guide for the the models aspect in pylons, syntax with SQLAlchemy to MongoDB?

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• Rails and MongoDB with MongoMapper

  - by FCastellanos

  I'm new to Rails development and I'm starting with MongoDB also. I have been following this Railscast tutorial about complex forms with Rails but I'm using MongoDB as my database. I'm having no problems inserting documents with it's childs and retrieving the data to the edit form, but when I try to update it I get this error undefined method `assert_valid_keys' for false:FalseClass this is my entity class class Project include MongoMapper::Document key :name, String, :required => true key :priority, Integer many :tasks after_update :save_tasks def task_attributes=(task_attributes) task_attributes.each do |attributes| if attributes[:id].blank? tasks.build(attributes) else task = tasks.detect { |t| t.id.to_s == attributes[:id].to_s } task.attributes = attributes end end end def save_tasks tasks.each do |t| t.save(false) end end end Does anyone knows whats happening here? Thanks

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• MongoDB: embedding performance question

  - by Alex

  I just started learning MongoDB, and I really like the idea of embedding collections instead of referencing them. MongoDB's documentation recommends to use embedding if performance is needed. I just thought about a simple forum model. Let's say, every board category has several boards, every board has several topics, and every topic has several messages. All of these collections are embedded. After some time the size of the board category will be huge. Way more than the 2MB limit. Does this mean that there's a flaw in this design?

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