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  • What is the best cloud technology to use for MongoDB/GridFS database servers

    - by Nerian
    We are going to launch a service that will require between 1 and 2 GB for file storage per paid user. I am going to use GridFS for storing files. GridFS is a module for MongoDB that allows to store large files in de database. I am pondering the different options for storing the database. But since I am unexperienced at deployment and it is my first time with Mongodb I need your experience. Criteria: I want to spend my time developing my core business, that is, my own application. I am a Ruby on Rails developer. I do not like to mess with server configuration. Hence, I would like a fully managed hosting solution. But I would like to know about any other option, if you think it is worth it. It should be able to scale. Cloud style. Pay as you go. The lower the price, the better. So far I known of these services: https://mongohq.com/pricing https://mongomachine.com/pricing https://mongolab.com/about/pricing/ http://cloudcontrol.com/add-ons/mongodb/ And they seem to be OK for common needs, that is no file storage. But I am going to use GridFS, so the size matters. These services seems to scale, in price, quite poorly. MongoHQ: The larger plan max storage is 20 GB. Seems like a very little storage, for GridFS. MongoMachine: Flat price, 2.5$ per GB. I didn't found the limit. Seems like a good price, comparing the others. MongoLab: 3.984 GB max, which I don't think I will hit, so perfect. 8$ per GB, quite costly. CloudControl: The larger plan is 20 Gb. The custom service starts at 250€ plus some unspecified charge per GB. What is your experience with these services? Any downtimes? Other possibilities? Edit: Added meaning of GridFS

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  • PHP-FPM processes holding onto MongoDB connection states

    - by Brendan
    For the relevant part of our server stack, we're running: NGINX 1.2.3 PHP-FPM 5.3.10 with PECL mongo 1.2.12 MongoDB 2.0.7 CentOS 6.2 We're getting some strange, but predictable behavior when the MongoDB server goes away (crashes, gets killed, etc). Even with a try/catch block around the connection code, i.e: try { $mdb = new Mongo('mongodb://localhost:27017'); } catch (MongoConnectionException $e) { die( $e->getMessage() ); } $db = $mdb->selectDB('collection_name'); Depending on which PHP-FPM workers have connected to mongo already, the connection state is cached, causing further exceptions to go unhandled, because the $mdb connection handler can't be used. The troubling thing is that the try does not consistently fail for a considerable amount of time, up to 15 minutes later, when -- I assume -- the php-fpm processes die/respawn. Essentially, the behavior is that when you hit a worker that hasn't connected to mongo yet, you get the die message above, and when you connect to a worker that has, you get an unhandled exception from $mdb->selectDB('collection_name'); because catch does not run. When PHP is a single process, i.e. via Apache with mod_php, this behavior does not occur. Just for posterity, going back to Apache/mod_php is not an option for us at this time. Is there a way to fix this behavior? I don't want the connection state to be inconsistent between different php-fpm processes.

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  • Node.js, Nginx and Varnish with WebSockets

    - by Joe S
    I'm in the process of architecting the backend of a new Node.js web app that i'd like to be pretty scalable, but not overkill. In all of my previous Node.js deployments, I have used Nginx to serve static assets such as JS/CSS and reverse proxy to Node (As i've heard Nginx does a much better job of this / express is not really production ready). However, Nginx does not support WebSockets. I am making extensive use of Socket.IO for the first time and discovered many articles detailing this limitation. Most of them suggest using Varnish to direct the WebSockets traffic directly to node, bypassing Nginx. This is my current setup: Varnish : Port 80 - Routing HTTP requests to Nginx and WebSockets directly to node Nginx : Port 8080 - Serving Static Assets like CSS/JS Node.js Express: Port 3000 - Serving the App, over HTTP + WebSockets However, there is now the added complexity that Varnish doesn't support HTTPS, which requires Stunnel or some other solution, it's also not load balanced yet (Perhaps i will use HAProxy or something). The complexity is stacking up! I would like to keep things simpler than this if possible. Is it still necessary to reverse proxy Node.js using Nginx when Varnish is also present? As even if express is slow at serving static files, they should theoretically be cached by Varnish. Or are there better ways to implement this?

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  • Node.js Build failed: -> task failed (error#2)?

    - by Richard Hedges
    I'm trying to install Node.js on my CentOS server. I run ./configure and it runs perfectly fine. I then run the 'make' command and it produces the following: [5/38] libv8.a: deps/v8/SConstruct - out/Release/libv8.a /usr/local/bin/python "/root/node/tools/scons/scons.py" -j 1 -C "/root/node/out/Release/" -Y "/root/node/deps/v8" visibility=default mode=release arch=ia32 toolchain=gcc library=static snapshot=on scons: Reading SConscript files ... ImportError: No module named bz2: File "/root/node/deps/v8/SConstruct", line 37: import js2c, utils File "/root/node/deps/v8/tools/js2c.py", line 36: import bz2 Waf: Leaving directory `/root/node/out' Build failed: - task failed (err #2): {task: libv8.a SConstruct - libv8.a} make: * [program] Error 1 I've done some searching on Google but I can't seem to find anything to help. Most of what I've found is for Cygwin anyway, and I'm on CentOS 4.9. Like I said, the ./configure went through perfectly fine with no errors, so there's nothing there that I can see. EDIT I've got a little further. Now I just need to upgrade G++ to version 4 (or higher). I tried yum update gcc but no luck, so I tried yum install gcc44, which resulted in no luck either. Has anyone got any ideas as to how I can update G++?

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  • How do I upgrade mongodb 1.8 to 2.2 on ubuntu?

    - by Alex Waters
    Following this guide: http://docs.mongodb.org/manual/tutorial/install-mongodb-on-ubuntu/ I ended up with mongodb 18 on my Ubuntu 10.04. I've just read the 2.2 mongodb release notes on upgrading and it says to just replace the binary. Would that be /usr/lib/mongodb/mongod ? It looks like the 2.2 tar has several files I might need to copy over: mongo, mongod, mongoexport, mongodump, mongofiles, mongoimport, mongorestore, mongos, xulwrapper Can I just copy and paste all of those over to replace the old versions of those files?

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  • How to display image in html image tag - node.js [on hold]

    - by ykel
    I use the following code to store image to file system and to retrieve the image, I would like to display the retrieved image on html image tag, hower the image is rendered on the response page but not on the html image tag. here is my html image tag: <img src="/show"> THIS CODE RETREIVES THE IMAGE: app.get('/show', function (req, res) { var FilePath=__dirname+"/uploads/3562_564927103528411_1723183324_n.jpg"; fs.readFile(FilePath,function(err,data){ if(err)throw err; console.log(data); res.writeHead(200, {'Content-Type': 'image/jpeg'}); res.end(data); // Send the file data to the browser. }) });

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  • A* PathFinding Poor Performance

    - by RedShft
    After debugging for a few hours, the algorithm seems to be working. Right now to check if it works i'm checking the end node position to the currentNode position when the while loop quits. So far the values look correct. The problem is, the farther I get from the NPC, who is current stationary, the worse the performance gets. It gets to a point where the game is unplayable less than 10 fps. My current PathGraph is 2500 nodes, which I believe is pretty small, right? Any ideas on how to improve performance? struct Node { bool walkable; //Whether this node is blocked or open vect2 position; //The tile's position on the map in pixels int xIndex, yIndex; //The index values of the tile in the array Node*[4] connections; //An array of pointers to nodes this current node connects to Node* parent; int gScore; int hScore; int fScore; } class AStar { private: SList!Node openList; SList!Node closedList; //Node*[4] connections; //The connections of the current node; Node currentNode; //The current node being processed Node[] Path; //The path found; const int connectionCost = 10; Node start, end; ////////////////////////////////////////////////////////// void AddToList(ref SList!Node list, ref Node node ) { list.insert( node ); } void RemoveFrom(ref SList!Node list, ref Node node ) { foreach( elem; list ) { if( node.xIndex == elem.xIndex && node.yIndex == elem.yIndex ) { auto a = find( list[] , elem ); list.linearRemove( take(a, 1 ) ); } } } bool IsInList( SList!Node list, ref Node node ) { foreach( elem; list ) { if( node.xIndex == elem.xIndex && node.yIndex == elem.yIndex ) return true; } return false; } void ClearList( SList!Node list ) { list.clear; } void SetParentNode( ref Node parent, ref Node child ) { child.parent = &parent; } void SetStartAndEndNode( vect2 vStart, vect2 vEnd, Node[] PathGraph ) { int startXIndex, startYIndex; int endXIndex, endYIndex; startXIndex = cast(int)( vStart.x / 32 ); startYIndex = cast(int)( vStart.y / 32 ); endXIndex = cast(int)( vEnd.x / 32 ); endYIndex = cast(int)( vEnd.y / 32 ); foreach( node; PathGraph ) { if( node.xIndex == startXIndex && node.yIndex == startYIndex ) { start = node; } if( node.xIndex == endXIndex && node.yIndex == endYIndex ) { end = node; } } } void SetStartScores( ref Node start ) { start.gScore = 0; start.hScore = CalculateHScore( start, end ); start.fScore = CalculateFScore( start ); } Node GetLowestFScore() { Node lowest; lowest.fScore = 10000; foreach( elem; openList ) { if( elem.fScore < lowest.fScore ) lowest = elem; } return lowest; } //This function current sets the program into an infinite loop //I still need to debug to figure out why the parent nodes aren't correct void GeneratePath() { while( currentNode.position != start.position ) { Path ~= currentNode; currentNode = *currentNode.parent; } } void ReversePath() { Node[] temp; for(int i = Path.length - 1; i >= 0; i-- ) { temp ~= Path[i]; } Path = temp.dup; } public: //@FIXME It seems to find the path, but now performance is terrible void FindPath( vect2 vStart, vect2 vEnd, Node[] PathGraph ) { openList.clear; closedList.clear; SetStartAndEndNode( vStart, vEnd, PathGraph ); SetStartScores( start ); AddToList( openList, start ); while( currentNode.position != end.position ) { currentNode = GetLowestFScore(); if( currentNode.position == end.position ) break; else { RemoveFrom( openList, currentNode ); AddToList( closedList, currentNode ); for( int i = 0; i < currentNode.connections.length; i++ ) { if( currentNode.connections[i] is null ) continue; else { if( IsInList( closedList, *currentNode.connections[i] ) && currentNode.gScore < currentNode.connections[i].gScore ) { currentNode.connections[i].gScore = currentNode.gScore + connectionCost; currentNode.connections[i].hScore = abs( currentNode.connections[i].xIndex - end.xIndex ) + abs( currentNode.connections[i].yIndex - end.yIndex ); currentNode.connections[i].fScore = currentNode.connections[i].gScore + currentNode.connections[i].hScore; currentNode.connections[i].parent = &currentNode; } else if( IsInList( openList, *currentNode.connections[i] ) && currentNode.gScore < currentNode.connections[i].gScore ) { currentNode.connections[i].gScore = currentNode.gScore + connectionCost; currentNode.connections[i].hScore = abs( currentNode.connections[i].xIndex - end.xIndex ) + abs( currentNode.connections[i].yIndex - end.yIndex ); currentNode.connections[i].fScore = currentNode.connections[i].gScore + currentNode.connections[i].hScore; currentNode.connections[i].parent = &currentNode; } else { currentNode.connections[i].gScore = currentNode.gScore + connectionCost; currentNode.connections[i].hScore = abs( currentNode.connections[i].xIndex - end.xIndex ) + abs( currentNode.connections[i].yIndex - end.yIndex ); currentNode.connections[i].fScore = currentNode.connections[i].gScore + currentNode.connections[i].hScore; currentNode.connections[i].parent = &currentNode; AddToList( openList, *currentNode.connections[i] ); } } } } } writeln( "Current Node Position: ", currentNode.position ); writeln( "End Node Position: ", end.position ); if( currentNode.position == end.position ) { writeln( "Current Node Parent: ", currentNode.parent ); //GeneratePath(); //ReversePath(); } } Node[] GetPath() { return Path; } } This is my first attempt at A* so any help would be greatly appreciated.

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  • Issues with MongoDB install on Ubuntu 8.04 LTS

    - by Tom
    I am installing MongoDB (1.4.1) on Ubuntu (8.04 LTS) and I continuously have a problem where I can be in /usr/local/mongodb/bin and run ./mongo or ./mongod and I am returned "No such file or directory." Let me be very clear here... the files ARE there! The obvious go-to solution is that it is because of permission issues but the permissions are fine. I've even tried others out, still without any luck. I'm really at the end here and any help would be MUCH appreciated. Thank you!

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  • MongoDB on EC2 - Creating a replicaset across DCs

    - by ankitb
    we are trying to get a MongoDB setup in EC2 going. I had a few questions - Should we turn on auth since the MongoDB endpoint will have a public VIP? Any big hit on perf with auth enabled? Best way to deploy a replicaset in EC2? Do I have to deploy all 3 nodes individually and configure them or can I use a tool to automate the deployment? We would like one of the secondaries to be located in a different DC than the primary. Ubuntu or RHEL? And what version? Thanks!

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  • mongoDB Management Studio

    - by Liam McLennan
    This weekend I have been in Sydney at the MS Web Camp, learning about web application development. At the end of the first day we came up with application ideas and pitched them. My idea was to build a web management application for mongoDB. mongoDB I pitched my idea, put down the microphone, and then someone asked, “what’s mongo?”. Good question. MongoDB is a document database that stores JSON style documents. This is a JSON document for a tweet from twitter: db.tweets.find()[0] { "_id" : ObjectId("4bfe4946cfbfb01420000001"), "created_at" : "Thu, 27 May 2010 10:25:46 +0000", "profile_image_url" : "http://a3.twimg.com/profile_images/600304197/Snapshot_2009-07-26_13-12-43_normal.jpg", "from_user" : "drearyclocks", "text" : "Does anyone know who has better coverage, Optus or Vodafone? Telstra is still too expensive.", "to_user_id" : null, "metadata" : { "result_type" : "recent" }, "id" : { "floatApprox" : 14825648892 }, "geo" : null, "from_user_id" : 6825770, "search_term" : "telstra", "iso_language_code" : "en", "source" : "&lt;a href=&quot;http://www.tweetdeck.com&quot; rel=&quot;nofollow&quot;&gt;TweetDeck&lt;/a&gt;" } A mongodb server can have many databases, each database has many collections (instead of tables) and a collection has many documents (instead of rows). Development Day 2 of the Sydney MS Web Camp was allocated to building our applications. First thing in the morning I identified the stories that I wanted to implement: Scenario: View databases Scenario: View Collections in a database Scenario: View Documents in a Collection Scenario: Delete a Collection Scenario: Delete a Database Scenario: Delete Documents Over the course of the day the team (3.5 developers) implemented all of the planned stories (except ‘delete a database’) and also implemented the following: Scenario: Create Database Scenario: Create Collection Lessons Learned I’m new to MongoDB and in the past I have only accessed it from Ruby (for my hare-brained scheme). When it came to implementing our MongoDB management studio we discovered that their is no official MongoDB driver for .NET. We chose to use NoRM, honestly just because it was the only one I had heard of. NoRM was a challenge. I think it is a fine library but it is focused on mapping strongly typed objects to MongoDB. For our application we had no prior knowledge of the types that would be in the MongoDB database so NoRM was probably a poor choice. Here are some screens (click to enlarge):

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  • 250k connections for comet with node.js

    - by Nenad
    How to implement node.js to be able to handle 250k connections as comet server (client side we use socket.io)? Would the use of nginx as proxy/loadbalancer be the right solution? Or will HA-Proxy be the better way? Has anyone real world experience with 100k+ connections and can share his setup? Would a setup like this be the right one (Quad core CPU per server - start 4 Instances of node.js per Server?): nginx (as proxy / load balancing server) / | \ / | \ / | \ / | \ node server #1 node server #2 node server #3 4 instances 4 instances 4 instances

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  • Best way to deploy my node.js app on a Varnish/Nginx server

    - by Saif Bechan
    I am about to deploy a brand new node.js application, and I need some help setting this up. The way my setup is right now is as follows. I have Varnish running on external_ip:80 I have Nginx behind running on internal_ip:80 Both are listening on port 80, one internal port, one external. NOTE: the node.js app runs on WebSockets Now I have the my new node.js application that will listen on port 8080. Can I have varnish set up that it is in front of both nginx and node.js. Varnish has to proxy the websocket to port 8080, but then the static files such as css, js, etc has to go trough port 80 to nignx. Nginx does not support websockets out of the box, else I would so a setup like: varnish - nignx - node.js

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  • Node.js Adventure - Storage Services and Service Runtime

    - by Shaun
    When I described on how to host a Node.js application on Windows Azure, one of questions might be raised about how to consume the vary Windows Azure services, such as the storage, service bus, access control, etc.. Interact with windows azure services is available in Node.js through the Windows Azure Node.js SDK, which is a module available in NPM. In this post I would like to describe on how to use Windows Azure Storage (a.k.a. WAS) as well as the service runtime.   Consume Windows Azure Storage Let’s firstly have a look on how to consume WAS through Node.js. As we know in the previous post we can host Node.js application on Windows Azure Web Site (a.k.a. WAWS) as well as Windows Azure Cloud Service (a.k.a. WACS). In theory, WAWS is also built on top of WACS worker roles with some more features. Hence in this post I will only demonstrate for hosting in WACS worker role. The Node.js code can be used when consuming WAS when hosted on WAWS. But since there’s no roles in WAWS, the code for consuming service runtime mentioned in the next section cannot be used for WAWS node application. We can use the solution that I created in my last post. Alternatively we can create a new windows azure project in Visual Studio with a worker role, add the “node.exe” and “index.js” and install “express” and “node-sqlserver” modules, make all files as “Copy always”. In order to use windows azure services we need to have Windows Azure Node.js SDK, as knows as a module named “azure” which can be installed through NPM. Once we downloaded and installed, we need to include them in our worker role project and make them as “Copy always”. You can use my “Copy all always” tool mentioned in my last post to update the currently worker role project file. You can also find the source code of this tool here. The source code of Windows Azure SDK for Node.js can be found in its GitHub page. It contains two parts. One is a CLI tool which provides a cross platform command line package for Mac and Linux to manage WAWS and Windows Azure Virtual Machines (a.k.a. WAVM). The other is a library for managing and consuming vary windows azure services includes tables, blobs, queues, service bus and the service runtime. I will not cover all of them but will only demonstrate on how to use tables and service runtime information in this post. You can find the full document of this SDK here. Back to Visual Studio and open the “index.js”, let’s continue our application from the last post, which was working against Windows Azure SQL Database (a.k.a. WASD). The code should looks like this. 1: var express = require("express"); 2: var sql = require("node-sqlserver"); 3:  4: var connectionString = "Driver={SQL Server Native Client 10.0};Server=tcp:ac6271ya9e.database.windows.net,1433;Database=synctile;Uid=shaunxu@ac6271ya9e;Pwd={PASSWORD};Encrypt=yes;Connection Timeout=30;"; 5: var port = 80; 6:  7: var app = express(); 8:  9: app.configure(function () { 10: app.use(express.bodyParser()); 11: }); 12:  13: app.get("/", function (req, res) { 14: sql.open(connectionString, function (err, conn) { 15: if (err) { 16: console.log(err); 17: res.send(500, "Cannot open connection."); 18: } 19: else { 20: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 21: if (err) { 22: console.log(err); 23: res.send(500, "Cannot retrieve records."); 24: } 25: else { 26: res.json(results); 27: } 28: }); 29: } 30: }); 31: }); 32:  33: app.get("/text/:key/:culture", function (req, res) { 34: sql.open(connectionString, function (err, conn) { 35: if (err) { 36: console.log(err); 37: res.send(500, "Cannot open connection."); 38: } 39: else { 40: var key = req.params.key; 41: var culture = req.params.culture; 42: var command = "SELECT * FROM [Resource] WHERE [Key] = '" + key + "' AND [Culture] = '" + culture + "'"; 43: conn.queryRaw(command, function (err, results) { 44: if (err) { 45: console.log(err); 46: res.send(500, "Cannot retrieve records."); 47: } 48: else { 49: res.json(results); 50: } 51: }); 52: } 53: }); 54: }); 55:  56: app.get("/sproc/:key/:culture", function (req, res) { 57: sql.open(connectionString, function (err, conn) { 58: if (err) { 59: console.log(err); 60: res.send(500, "Cannot open connection."); 61: } 62: else { 63: var key = req.params.key; 64: var culture = req.params.culture; 65: var command = "EXEC GetItem '" + key + "', '" + culture + "'"; 66: conn.queryRaw(command, function (err, results) { 67: if (err) { 68: console.log(err); 69: res.send(500, "Cannot retrieve records."); 70: } 71: else { 72: res.json(results); 73: } 74: }); 75: } 76: }); 77: }); 78:  79: app.post("/new", function (req, res) { 80: var key = req.body.key; 81: var culture = req.body.culture; 82: var val = req.body.val; 83:  84: sql.open(connectionString, function (err, conn) { 85: if (err) { 86: console.log(err); 87: res.send(500, "Cannot open connection."); 88: } 89: else { 90: var command = "INSERT INTO [Resource] VALUES ('" + key + "', '" + culture + "', N'" + val + "')"; 91: conn.queryRaw(command, function (err, results) { 92: if (err) { 93: console.log(err); 94: res.send(500, "Cannot retrieve records."); 95: } 96: else { 97: res.send(200, "Inserted Successful"); 98: } 99: }); 100: } 101: }); 102: }); 103:  104: app.listen(port); Now let’s create a new function, copy the records from WASD to table service. 1. Delete the table named “resource”. 2. Create a new table named “resource”. These 2 steps ensures that we have an empty table. 3. Load all records from the “resource” table in WASD. 4. For each records loaded from WASD, insert them into the table one by one. 5. Prompt to user when finished. In order to use table service we need the storage account and key, which can be found from the developer portal. Just select the storage account and click the Manage Keys button. Then create two local variants in our Node.js application for the storage account name and key. Since we need to use WAS we need to import the azure module. Also I created another variant stored the table name. In order to work with table service I need to create the storage client for table service. This is very similar as the Windows Azure SDK for .NET. As the code below I created a new variant named “client” and use “createTableService”, specified my storage account name and key. 1: var azure = require("azure"); 2: var storageAccountName = "synctile"; 3: var storageAccountKey = "/cOy9L7xysXOgPYU9FjDvjrRAhaMX/5tnOpcjqloPNDJYucbgTy7MOrAW7CbUg6PjaDdmyl+6pkwUnKETsPVNw=="; 4: var tableName = "resource"; 5: var client = azure.createTableService(storageAccountName, storageAccountKey); Now create a new function for URL “/was/init” so that we can trigger it through browser. Then in this function we will firstly load all records from WASD. 1: app.get("/was/init", function (req, res) { 2: // load all records from windows azure sql database 3: sql.open(connectionString, function (err, conn) { 4: if (err) { 5: console.log(err); 6: res.send(500, "Cannot open connection."); 7: } 8: else { 9: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 10: if (err) { 11: console.log(err); 12: res.send(500, "Cannot retrieve records."); 13: } 14: else { 15: if (results.rows.length > 0) { 16: // begin to transform the records into table service 17: } 18: } 19: }); 20: } 21: }); 22: }); When we succeed loaded all records we can start to transform them into table service. First I need to recreate the table in table service. This can be done by deleting and creating the table through table client I had just created previously. 1: app.get("/was/init", function (req, res) { 2: // load all records from windows azure sql database 3: sql.open(connectionString, function (err, conn) { 4: if (err) { 5: console.log(err); 6: res.send(500, "Cannot open connection."); 7: } 8: else { 9: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 10: if (err) { 11: console.log(err); 12: res.send(500, "Cannot retrieve records."); 13: } 14: else { 15: if (results.rows.length > 0) { 16: // begin to transform the records into table service 17: // recreate the table named 'resource' 18: client.deleteTable(tableName, function (error) { 19: client.createTableIfNotExists(tableName, function (error) { 20: if (error) { 21: error["target"] = "createTableIfNotExists"; 22: res.send(500, error); 23: } 24: else { 25: // transform the records 26: } 27: }); 28: }); 29: } 30: } 31: }); 32: } 33: }); 34: }); As you can see, the azure SDK provide its methods in callback pattern. In fact, almost all modules in Node.js use the callback pattern. For example, when I deleted a table I invoked “deleteTable” method, provided the name of the table and a callback function which will be performed when the table had been deleted or failed. Underlying, the azure module will perform the table deletion operation in POSIX async threads pool asynchronously. And once it’s done the callback function will be performed. This is the reason we need to nest the table creation code inside the deletion function. If we perform the table creation code after the deletion code then they will be invoked in parallel. Next, for each records in WASD I created an entity and then insert into the table service. Finally I send the response to the browser. Can you find a bug in the code below? I will describe it later in this post. 1: app.get("/was/init", function (req, res) { 2: // load all records from windows azure sql database 3: sql.open(connectionString, function (err, conn) { 4: if (err) { 5: console.log(err); 6: res.send(500, "Cannot open connection."); 7: } 8: else { 9: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 10: if (err) { 11: console.log(err); 12: res.send(500, "Cannot retrieve records."); 13: } 14: else { 15: if (results.rows.length > 0) { 16: // begin to transform the records into table service 17: // recreate the table named 'resource' 18: client.deleteTable(tableName, function (error) { 19: client.createTableIfNotExists(tableName, function (error) { 20: if (error) { 21: error["target"] = "createTableIfNotExists"; 22: res.send(500, error); 23: } 24: else { 25: // transform the records 26: for (var i = 0; i < results.rows.length; i++) { 27: var entity = { 28: "PartitionKey": results.rows[i][1], 29: "RowKey": results.rows[i][0], 30: "Value": results.rows[i][2] 31: }; 32: client.insertEntity(tableName, entity, function (error) { 33: if (error) { 34: error["target"] = "insertEntity"; 35: res.send(500, error); 36: } 37: else { 38: console.log("entity inserted"); 39: } 40: }); 41: } 42: // send the 43: console.log("all done"); 44: res.send(200, "All done!"); 45: } 46: }); 47: }); 48: } 49: } 50: }); 51: } 52: }); 53: }); Now we can publish it to the cloud and have a try. But normally we’d better test it at the local emulator first. In Node.js SDK there are three build-in properties which provides the account name, key and host address for local storage emulator. We can use them to initialize our table service client. We also need to change the SQL connection string to let it use my local database. The code will be changed as below. 1: // windows azure sql database 2: //var connectionString = "Driver={SQL Server Native Client 10.0};Server=tcp:ac6271ya9e.database.windows.net,1433;Database=synctile;Uid=shaunxu@ac6271ya9e;Pwd=eszqu94XZY;Encrypt=yes;Connection Timeout=30;"; 3: // sql server 4: var connectionString = "Driver={SQL Server Native Client 11.0};Server={.};Database={Caspar};Trusted_Connection={Yes};"; 5:  6: var azure = require("azure"); 7: var storageAccountName = "synctile"; 8: var storageAccountKey = "/cOy9L7xysXOgPYU9FjDvjrRAhaMX/5tnOpcjqloPNDJYucbgTy7MOrAW7CbUg6PjaDdmyl+6pkwUnKETsPVNw=="; 9: var tableName = "resource"; 10: // windows azure storage 11: //var client = azure.createTableService(storageAccountName, storageAccountKey); 12: // local storage emulator 13: var client = azure.createTableService(azure.ServiceClient.DEVSTORE_STORAGE_ACCOUNT, azure.ServiceClient.DEVSTORE_STORAGE_ACCESS_KEY, azure.ServiceClient.DEVSTORE_TABLE_HOST); Now let’s run the application and navigate to “localhost:12345/was/init” as I hosted it on port 12345. We can find it transformed the data from my local database to local table service. Everything looks fine. But there is a bug in my code. If we have a look on the Node.js command window we will find that it sent response before all records had been inserted, which is not what I expected. The reason is that, as I mentioned before, Node.js perform all IO operations in non-blocking model. When we inserted the records we executed the table service insert method in parallel, and the operation of sending response was also executed in parallel, even though I wrote it at the end of my logic. The correct logic should be, when all entities had been copied to table service with no error, then I will send response to the browser, otherwise I should send error message to the browser. To do so I need to import another module named “async”, which helps us to coordinate our asynchronous code. Install the module and import it at the beginning of the code. Then we can use its “forEach” method for the asynchronous code of inserting table entities. The first argument of “forEach” is the array that will be performed. The second argument is the operation for each items in the array. And the third argument will be invoked then all items had been performed or any errors occurred. Here we can send our response to browser. 1: app.get("/was/init", function (req, res) { 2: // load all records from windows azure sql database 3: sql.open(connectionString, function (err, conn) { 4: if (err) { 5: console.log(err); 6: res.send(500, "Cannot open connection."); 7: } 8: else { 9: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 10: if (err) { 11: console.log(err); 12: res.send(500, "Cannot retrieve records."); 13: } 14: else { 15: if (results.rows.length > 0) { 16: // begin to transform the records into table service 17: // recreate the table named 'resource' 18: client.deleteTable(tableName, function (error) { 19: client.createTableIfNotExists(tableName, function (error) { 20: if (error) { 21: error["target"] = "createTableIfNotExists"; 22: res.send(500, error); 23: } 24: else { 25: async.forEach(results.rows, 26: // transform the records 27: function (row, callback) { 28: var entity = { 29: "PartitionKey": row[1], 30: "RowKey": row[0], 31: "Value": row[2] 32: }; 33: client.insertEntity(tableName, entity, function (error) { 34: if (error) { 35: callback(error); 36: } 37: else { 38: console.log("entity inserted."); 39: callback(null); 40: } 41: }); 42: }, 43: // send reponse 44: function (error) { 45: if (error) { 46: error["target"] = "insertEntity"; 47: res.send(500, error); 48: } 49: else { 50: console.log("all done"); 51: res.send(200, "All done!"); 52: } 53: } 54: ); 55: } 56: }); 57: }); 58: } 59: } 60: }); 61: } 62: }); 63: }); Run it locally and now we can find the response was sent after all entities had been inserted. Query entities against table service is simple as well. Just use the “queryEntity” method from the table service client and providing the partition key and row key. We can also provide a complex query criteria as well, for example the code here. In the code below I queried an entity by the partition key and row key, and return the proper localization value in response. 1: app.get("/was/:key/:culture", function (req, res) { 2: var key = req.params.key; 3: var culture = req.params.culture; 4: client.queryEntity(tableName, culture, key, function (error, entity) { 5: if (error) { 6: res.send(500, error); 7: } 8: else { 9: res.json(entity); 10: } 11: }); 12: }); And then tested it on local emulator. Finally if we want to publish this application to the cloud we should change the database connection string and storage account. For more information about how to consume blob and queue service, as well as the service bus please refer to the MSDN page.   Consume Service Runtime As I mentioned above, before we published our application to the cloud we need to change the connection string and account information in our code. But if you had played with WACS you should have known that the service runtime provides the ability to retrieve configuration settings, endpoints and local resource information at runtime. Which means we can have these values defined in CSCFG and CSDEF files and then the runtime should be able to retrieve the proper values. For example we can add some role settings though the property window of the role, specify the connection string and storage account for cloud and local. And the can also use the endpoint which defined in role environment to our Node.js application. In Node.js SDK we can get an object from “azure.RoleEnvironment”, which provides the functionalities to retrieve the configuration settings and endpoints, etc.. In the code below I defined the connection string variants and then use the SDK to retrieve and initialize the table client. 1: var connectionString = ""; 2: var storageAccountName = ""; 3: var storageAccountKey = ""; 4: var tableName = ""; 5: var client; 6:  7: azure.RoleEnvironment.getConfigurationSettings(function (error, settings) { 8: if (error) { 9: console.log("ERROR: getConfigurationSettings"); 10: console.log(JSON.stringify(error)); 11: } 12: else { 13: console.log(JSON.stringify(settings)); 14: connectionString = settings["SqlConnectionString"]; 15: storageAccountName = settings["StorageAccountName"]; 16: storageAccountKey = settings["StorageAccountKey"]; 17: tableName = settings["TableName"]; 18:  19: console.log("connectionString = %s", connectionString); 20: console.log("storageAccountName = %s", storageAccountName); 21: console.log("storageAccountKey = %s", storageAccountKey); 22: console.log("tableName = %s", tableName); 23:  24: client = azure.createTableService(storageAccountName, storageAccountKey); 25: } 26: }); In this way we don’t need to amend the code for the configurations between local and cloud environment since the service runtime will take care of it. At the end of the code we will listen the application on the port retrieved from SDK as well. 1: azure.RoleEnvironment.getCurrentRoleInstance(function (error, instance) { 2: if (error) { 3: console.log("ERROR: getCurrentRoleInstance"); 4: console.log(JSON.stringify(error)); 5: } 6: else { 7: console.log(JSON.stringify(instance)); 8: if (instance["endpoints"] && instance["endpoints"]["nodejs"]) { 9: var endpoint = instance["endpoints"]["nodejs"]; 10: app.listen(endpoint["port"]); 11: } 12: else { 13: app.listen(8080); 14: } 15: } 16: }); But if we tested the application right now we will find that it cannot retrieve any values from service runtime. This is because by default, the entry point of this role was defined to the worker role class. In windows azure environment the service runtime will open a named pipeline to the entry point instance, so that it can connect to the runtime and retrieve values. But in this case, since the entry point was worker role and the Node.js was opened inside the role, the named pipeline was established between our worker role class and service runtime, so our Node.js application cannot use it. To fix this problem we need to open the CSDEF file under the azure project, add a new element named Runtime. Then add an element named EntryPoint which specify the Node.js command line. So that the Node.js application will have the connection to service runtime, then it’s able to read the configurations. Start the Node.js at local emulator we can find it retrieved the connections, storage account for local. And if we publish our application to azure then it works with WASD and storage service through the configurations for cloud.   Summary In this post I demonstrated how to use Windows Azure SDK for Node.js to interact with storage service, especially the table service. I also demonstrated on how to use WACS service runtime, how to retrieve the configuration settings and the endpoint information. And in order to make the service runtime available to my Node.js application I need to create an entry point element in CSDEF file and set “node.exe” as the entry point. I used five posts to introduce and demonstrate on how to run a Node.js application on Windows platform, how to use Windows Azure Web Site and Windows Azure Cloud Service worker role to host our Node.js application. I also described how to work with other services provided by Windows Azure platform through Windows Azure SDK for Node.js. Node.js is a very new and young network application platform. But since it’s very simple and easy to learn and deploy, as well as, it utilizes single thread non-blocking IO model, Node.js became more and more popular on web application and web service development especially for those IO sensitive projects. And as Node.js is very good at scaling-out, it’s more useful on cloud computing platform. Use Node.js on Windows platform is new, too. The modules for SQL database and Windows Azure SDK are still under development and enhancement. It doesn’t support SQL parameter in “node-sqlserver”. It does support using storage connection string to create the storage client in “azure”. But Microsoft is working on make them easier to use, working on add more features and functionalities.   PS, you can download the source code here. You can download the source code of my “Copy all always” tool here.   Hope this helps, Shaun All documents and related graphics, codes are provided "AS IS" without warranty of any kind. Copyright © Shaun Ziyan Xu. This work is licensed under the Creative Commons License.

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  • How to install 64bit version of Mongodb

    - by slownage
    How can I install the 64bit (x86_64) version of MongoDB? I've specified in the 10gen.repo the 64bit: baseurl=http://downloads-distro.mongodb.org/repo/redhat/os/x86_64 But when I run: yum install mongo-10gen mongo-10gen-server It's the 32bit (see the i686) that it's set to be installed. Failed to set locale, defaulting to C Loaded plugins: fastestmirror Loading mirror speeds from cached hostfile * base: mirror.fdcservers.net * epel: mirror.steadfast.net * extras: mirror.fdcservers.net * rpmforge: mirror.rit.edu * updates: mirror.fdcservers.net 10gen | 951 B 00:00 Not using downloaded repomd.xml because it is older than what we have: Current : Tue Oct 30 15:55:02 2012 Downloaded: Tue Oct 30 15:54:51 2012 Setting up Install Process Resolving Dependencies --> Running transaction check ---> Package mongo-10gen.i686 0:2.2.1-mongodb_1 will be installed ---> Package mongo-10gen-server.i686 0:2.2.1-mongodb_1 will be installed --> Finished Dependency Resolution Dependencies Resolved ====================================================================================================================================================== Package Arch Version Repository Size ====================================================================================================================================================== Installing: mongo-10gen i686 2.2.1-mongodb_1 10gen 42 M mongo-10gen-server i686 2.2.1-mongodb_1 10gen 6.5 M Transaction Summary ====================================================================================================================================================== Install 2 Package(s) Total download size: 48 M Installed size: 118 M I think I know why it want's to install the 32bit version: the first time I've made the 10gen.repo file I had in there the 32bit link specified, and installed the 32bit, which later I've deleted. Maybe something has been cached. Could someone help me out with this.

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  • How to store session values with Node.js and mongodb?

    - by Tirithen
    How do I get sessions working with Node.js, [email protected] and mongodb? I'm now trying to use connect-mongo like this: var config = require('../config'), express = require('express'), MongoStore = require('connect-mongo'), server = express.createServer(); server.configure(function() { server.use(express.logger()); server.use(express.methodOverride()); server.use(express.static(config.staticPath)); server.use(express.bodyParser()); server.use(express.cookieParser()); server.use(express.session({ store: new MongoStore({ db: config.db }), secret: config.salt })); }); server.configure('development', function() { server.use(express.errorHandler({ dumpExceptions: true, showStack: true })); }); server.configure('production', function() { server.use(express.errorHandler()); }); server.set('views', __dirname + '/../views'); server.set('view engine', 'jade'); server.listen(config.port); I'm then, in a server.get callback trying to use req.session.test = 'hello'; to store that value in the session, but it's not stored between the requests. It probobly takes something more that this to store session values, how? Is there a better documented module than connect-mongo?

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  • Developing Mobile Applications: Web, Native, or Hybrid?

    - by Michelle Kimihira
    Authors: Joe Huang, Senior Principal Product Manager, Oracle Mobile Application Development Framework  and Carlos Chang, Senior Principal Product Director The proliferation of mobile devices and platforms represents a game-changing technology shift on a number of levels. Companies must decide not only the best strategic use of mobile platforms, but also how to most efficiently implement them. Inevitably, this conversation devolves to the developers, who face the task of developing and supporting mobile applications—not a simple task in light of the number of devices and platforms. Essentially, developers can choose from the following three different application approaches, each with its own set of pros and cons. Native Applications: This refers to apps built for and installed on a specific platform, such as iOS or Android, using a platform-specific software development kit (SDK).  For example, apps for Apple’s iPhone and iPad are designed to run specifically on iOS and are written in Xcode/Objective-C. Android has its own variation of Java, Windows uses C#, and so on.  Native apps written for one platform cannot be deployed on another. Native apps offer fast performance and access to native-device services but require additional resources to develop and maintain each platform, which can be expensive and time consuming. Mobile Web Applications: Unlike native apps, mobile web apps are not installed on the device; rather, they are accessed via a Web browser.  These are server-side applications that render HTML, typically adjusting the design depending on the type of device making the request.  There are no program coding constraints for writing server-side apps—they can be written in Java, C, PHP, etc., it doesn’t matter.  Instead, the server detects what type of mobile browser is pinging the server and adjusts accordingly. For example, it can deliver fully JavaScript and CSS-enabled content to smartphone browsers, while downgrading gracefully to basic HTML for feature phone browsers. Mobile apps work across platforms, but are limited to what you can do through a browser and require Internet connectivity. For certain types of applications, these constraints may not be an issue. Oracle supports mobile web applications via ADF Faces (for tablets) and ADF Mobile browser (Trinidad) for smartphone and feature phones. Hybrid Applications: As the name implies, hybrid apps combine technologies from native and mobile Web apps to gain the benefits each. For example, these apps are installed on a device, like their pure native app counterparts, while the user interface (UI) is based on HTML5.  This UI runs locally within the native container, which usually leverages the device’s browser engine.  The advantage of using HTML5 is a consistent, cross-platform UI that works well on most devices.  Combining this with the native container, which is installed on-device, provides mobile users with access to local device services, such as camera, GPS, and local device storage.  Native apps may offer greater flexibility in integrating with device native services.  However, since hybrid applications already provide device integrations that typical enterprise applications need, this is typically less of an issue.  The new Oracle ADF Mobile release is an HTML5 and Java hybrid framework that targets mobile app development to iOS and Android from one code base. So, Which is the Best Approach? The short answer is – the best choice depends on the type of application you are developing.  For instance, animation-intensive apps such as games would favor native apps, while hybrid applications may be better suited for enterprise mobile apps because they provide multi-platform support. Just for starters, the following issues must be considered when choosing a development path. Application Complexity: How complex is the application? A quick app that accesses a database or Web service for some data to display?  You can keep it simple, and a mobile Web app may suffice. However, for a mobile/field worker type of applications that supports mission critical functionality, hybrid or native applications are typically needed. Richness of User Interactivity: What type of user experience is required for the application?  Mobile browser-based app that’s optimized for mobile UI may suffice for quick lookup or productivity type of applications.  However, hybrid/native application would typically be required to deliver highly interactive user experiences needed for field-worker type of applications.  For example, interactive BI charts/graphs, maps, voice/email integration, etc.  In the most extreme case like gaming applications, native applications may be necessary to deliver the highly animated and graphically intensive user experience. Performance: What type of performance is required by the application functionality?  For instance, for real-time look up of data over the network, mobile app performance depends on network latency and server infrastructure capabilities.  If consistent performance is required, data would typically need to be cached, which is supported on hybrid or native applications only. Connectivity and Availability: What sort of connectivity will your application require? Does the app require Web access all the time in order to always retrieve the latest data from the server? Or do the requirements dictate offline support? While native and hybrid apps can be built to operate offline, Web mobile apps require Web connectivity. Multi-platform Requirements: The terms “consumerization of IT” and BYOD (bring your own device) effectively mean that the line between the consumer and the enterprise devices have become blurred. Employees are bringing their personal mobile devices to work and are often expecting that they work in the corporate network and access back-office applications.  Even if companies restrict access to the big dogs: (iPad, iPhone, Android phones and tablets, possibly Windows Phone and tablets), trying to support each platform natively will require increasing resources and domain expertise with each new language/platform. And let’s not forget the maintenance costs, involved in upgrading new versions of each platform.   Where multi-platform support is needed, Web mobile or hybrid apps probably have the advantage. Going native, and trying to support multiple operating systems may be cost prohibitive with existing resources and developer skills. Device-Services Access:  If your app needs to access local device services, such as the camera, contacts app, accelerometer, etc., then your choices are limited to native or hybrid applications.   Fragmentation: Apple controls Apple iOS and the only concern is what version iOS is running on any given device.   Not so Android, which is open source. There are many, many versions and variants of Android running on different devices, which can be a nightmare for app developers trying to support different devices running different flavors of Android.  (Is it an Amazon Kindle Fire? a Samsung Galaxy?  A Barnes & Noble Nook?) This is a nightmare scenario for native apps—on the other hand, a mobile Web or hybrid app, when properly designed, can shield you from these complexities because they are based on common frameworks.  Resources: How many developers can you dedicate to building and supporting mobile application development?  What are their existing skills sets?  If you’re considering native application development due to the complexity of the application under development, factor the costs of becoming proficient on a each platform’s OS and programming language. Add another platform, and that’s another language, another SDK. On the other side of the equation, Web mobile or hybrid applications are simpler to make, and readily support more platforms, but there may be performance trade-offs. Conclusion This only scratches the surface. However, I hope to have suggested some food for thought in choosing your mobile development strategy.  Do your due diligence, search the Web, read up on mobile, talk to peers, attend events. The development team at Oracle is working hard on mobile technologies to help customers extend enterprise applications to mobile faster and effectively.  To learn more on what Oracle has to offer, check out the Oracle ADF Mobile (hybrid) and ADF Faces/ADF Mobile browser (Web Mobile) solutions from Oracle.   Additional Information Blog: ADF Blog Product Information on OTN: ADF Mobile Product Information on Oracle.com: Oracle Fusion Middleware Follow us on Twitter and Facebook Subscribe to our regular Fusion Middleware Newsletter

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  • Node remains in commissioning status

    - by Vinitha
    I have been trying to set up ubuntu cloud 12.04. I'm kind of new to MAAS and ubuntu. Here is what I followed. Have installed MAAS server using the steps provided in https://wiki.ubuntu.com/ServerTeam/MAAS For the node, I installed the Ubuntu 12.04 Server Image on a USB Stick. Then restarted the node and opted to enlist the node via boot media, with PXE. once the process was done, the node was powered off as expected. I manually powered on the node, as my node is not PXE enabled. Result - No node was visible on MAAS UI Since step 2 didn't work, I added the node via maas-cli. command. After the execution of this command I got the node reflected on to my MAAS UI. But the status continues to be in "Commissioning" for a long time. Then I executed "maas-cli maas nodes check-commissioning " and i got "Unrecognised signature: POST check_commissioning". I'm not sure where is the error. Could some one please help me solve this issue. I checked the following log file but found no error related to commissioning (pserv.log / maas.log / celery.log/celery-region.log). I found this entry in my auth.log "Nov 16 18:20:34 ubuntuCloud sshd[4222]: Did not receive identification string from xxx.xx.xx.x" not sure if it indicates anything as the ip that is mentioned is not of the node nor of the MAAS server. I also verified the time on the server and node using date cmd - (at one instance the times are : Server: Fri Nov 16 18:15:51 IST 2012 and Node Fri Nov 16 18:15:43 IST 2012). Not sure if 'date' the right cmd to set the time. I have also check maas_local_settings.py for the MAAS url. I'm not sure what are the logs that need to be verified. Is there any log that can be checked on the Node. Thanks Vinitha

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  • Write-only collections in MongoDB

    - by rcoder
    I'm currently using MongoDB to record application logs, and while I'm quite happy with both the performance and with being able to dump arbitrary structured data into log records, I'm troubled by the mutability of log records once stored. In a traditional database, I would structure the grants for my log tables such that the application user had INSERT and SELECT privileges, but not UPDATE or DELETE. Similarly, in CouchDB, I could write a update validator function that rejected all attempts to modify an existing document. However, I've been unable to find a way to restrict operations on a MongoDB database or collection beyond the three access levels (no access, read-only, "god mode") documented in the security topic on the MongoDB wiki. Has anyone else deployed MongoDB as a document store in a setting where immutability (or at least change tracking) for documents was a requirement? What tricks or techniques did you use to ensure that poorly-written or malicious application code could not modify or destroy existing log records? Do I need to wrap my MongoDB logging in a service layer that enforces the write-only policy, or can I use some combination of configuration, query hacking, and replication to ensure a consistent, audit-able record is maintained?

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  • Node.js/ v8: How to make my own snapshot to accelerate startup

    - by Anand
    I have a node.js (v0.6.12) application that starts by evaluating a Javascript file, startup.js. It takes a long time to evaluate startup.js, and I'd like to 'bake it in' to a custom build of Node if possible. The v8 source directory distributed with Node, node/deps/v8/src, contains a SconScript that can almost be used to do this. On line 302, we have LIBRARY_FILES = ''' runtime.js v8natives.js array.js string.js uri.js math.js messages.js apinatives.js date.js regexp.js json.js liveedit-debugger.js mirror-debugger.js debug-debugger.js '''.split() Those javascript files are present in the same directory. Something in the build process apparently evaluates them, takes a snapshot of state, and saves it as a byte string in node/out/Release/obj/release/snapshot.cc (on Mac OS). Some customization of the startup snapshot is possible by altering the SconScript. For example, I can change the definition of the builtin Date.toString by altering date.js. I can even add new global variables by adding startup.js to the list of library files, with contents global.test = 1. However, I can't put just any javascript code in startup.js. If it contains Date.toString = 1;, an error results even though the code is valid at the node repl: Build failed: -> task failed (err #2): {task: libv8.a SConstruct -> libv8.a} make: *** [program] Error 1 And it obviously can't make use of code that depends on libraries Node adds to v8. global.underscore = require('underscore'); causes the same error. I'd ideally like a tool, customSnapshot, where customSnapshot startup.js evaluates startup.js with node and then dumps a snapshot to a file, snapshot.cc, which I can put into the node source directory. I can then build node and tell it not to rebuild the snapshot.

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  • mongodb read/write performance and mongo hosting in the cloud

    - by z3cko
    we are currently developing a high traffic rails application with facebooker (facebook game). since amazon simpledb (aws-sdb) is really slow, we are thinking of using a dedicated mongodb server as offered by mongoHQ for example. questions: what is the read/writes peak value for a mongodb server running on a amazon ec2 instance? what would be a recommended setup for a ec2 hosted app with mongodb - a master on amazon EBS and replicas on the ec2 instances? any examples or experiences? is there a company that offers mongodb hosting in the cloud? thanks, mz

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  • How know when my mongoDB database overhead ?

    - by shingara
    I installed a MongoDB database on my server. My server is in 32Bit and I can't change it soon. When you use MongoDB in a 32Bit architecture you have a limit of 2,5Go of data, as mentionned in this MongoDB blog post. The thing is that I have several database. So how can I know if I am close or not to this limit ?

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  • MongoDB vs CouchDB (Speed optimization)

    - by Edward83
    Hi! I made some tests of speed to compare MongoDB and CouchDB. Only inserts were while testing. I got MongoDB 15x faster than CouchDB. I know that it is because of sockets vs http. But, it is very interesting for me how can I optimize inserts in CouchDB? Test platform: Windows XP SP3 32 bit. I used last versions of MongoDB, MongoDB C# Driver and last version of installation package of CouchDB for Windows. Thanks!

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  • Database over 2GB in MongoDB

    - by configurator
    We've got a file-based program we want to convert to use a document database, specifically MongoDB. Problem is, MongoDB is limited to 2GB on 32-bit machines (according to http://www.mongodb.org/display/DOCS/FAQ#FAQ-Whatarethe32bitlimitations%3F), and a lot of our users will have over 2GB of data. Is there a way to have MongoDB use more than one file somehow? I thought perhaps I could implement sharding on a single machine, meaning I'd run more than one mongod on the same machine and they'd somehow communicate. Could that work?

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  • .NET TreeView causes application to crash when trying to check Parent node

    - by alexD
    I have a TreeView with check boxes, and when a user checks a child node, I want to go up the tree and check each parent. However, for some reason my application blows up whenever I touch the parent node. For the nodes in my tree, I've extended TreeNode to create my own objects with some data that I need to store in them, but I still reference them as TreeNodes when checking/unchecking. My code looks like this: //checkBox checked event handler if (node.Parent != null) { checkAllParents(node.Parent); } // private void checkAllParents(TreeNode node) { node.Checked = true; if (node.Parent != null) { checkAllParents(node.Parent); } }

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