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  • How to run applications as root?

    - by ????? ????????
    I am having some strange issue with Kate and Kwrite. When I click on Open File, it crashes with segmentation fault. I am a complete newbie to Linux, and I think the issue is that I am not running the application as root. How do I run applications as root in Ubuntu? Is it bad practice to do this? What is the purpose of the whole root thing, where even though we need to use root so frequently, it is not utilized as default?

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  • how do i stop root from running a program

    - by joe Lovick
    I would like to prevent my root user from running certain applications that can change the permissions of files which in turn prevents normal users from running those applications again. for example, if i sudo to root, and then run thunderbird from the command prompt, it changes the permissions of files within my home dir / profile so i can no longer run it as a normal user; what i would like to do is prevent root from running thunderbird and hence stop this user error from repeating itself. any suggestions? to clarify, if i have a lot of administration to do i use "sudo -s" which gives me a root shell, its just once a year or so, i shoot myself in the foot.

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  • update-grub is setting a wrong linux root partition

    - by adrian m
    Initially, Ubuntu was installed on another partition (sda5 or sda4). At some point I did manually move the root partition to sda2. Now, the problem is that whenever a new kernel is installed, the automatic regeneration of the menu.lst is using the OLD Linux partition. So I have to manually change in menu.lst the lines : root (hd0,5) into root (hd0,1) How can I configure update-grub to automatically generate menu.lst with the current Linux root partition? I assume that the (hd0,5) was written somewhere at installation, but I couldn't find it.

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  • node.js callback getting unexpected value for variable

    - by defrex
    I have a for loop, and inside it a variable is assigned with var. Also inside the loop a method is called which requires a callback. Inside the callback function I'm using the variable from the loop. I would expect that it's value, inside the callback function, would be the same as it was outside the callback during that iteration of the loop. However, it always seems to be the value from the last iteration of the loop. Am I misunderstanding scope in JavaScript, or is there something else wrong? The program in question here is a node.js app that will monitor a working directory for changes and restart the server when it finds one. I'll include all of the code for the curious, but the important bit is the parse_file_list function. var posix = require('posix'); var sys = require('sys'); var server; var child_js_file = process.ARGV[2]; var current_dir = __filename.split('/'); current_dir = current_dir.slice(0, current_dir.length-1).join('/'); var start_server = function(){ server = process.createChildProcess('node', [child_js_file]); server.addListener("output", function(data){sys.puts(data);}); }; var restart_server = function(){ sys.puts('change discovered, restarting server'); server.close(); start_server(); }; var parse_file_list = function(dir, files){ for (var i=0;i<files.length;i++){ var file = dir+'/'+files[i]; sys.puts('file assigned: '+file); posix.stat(file).addCallback(function(stats){ sys.puts('stats returned: '+file); if (stats.isDirectory()) posix.readdir(file).addCallback(function(files){ parse_file_list(file, files); }); else if (stats.isFile()) process.watchFile(file, restart_server); }); } }; posix.readdir(current_dir).addCallback(function(files){ parse_file_list(current_dir, files); }); start_server(); The output from this is: file assigned: /home/defrex/code/node/ejs.js file assigned: /home/defrex/code/node/templates file assigned: /home/defrex/code/node/web file assigned: /home/defrex/code/node/server.js file assigned: /home/defrex/code/node/settings.js file assigned: /home/defrex/code/node/apps file assigned: /home/defrex/code/node/dev_server.js file assigned: /home/defrex/code/node/main_urls.js stats returned: /home/defrex/code/node/main_urls.js stats returned: /home/defrex/code/node/main_urls.js stats returned: /home/defrex/code/node/main_urls.js stats returned: /home/defrex/code/node/main_urls.js stats returned: /home/defrex/code/node/main_urls.js stats returned: /home/defrex/code/node/main_urls.js stats returned: /home/defrex/code/node/main_urls.js stats returned: /home/defrex/code/node/main_urls.js For those from the future: node.devserver.js

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  • What is meant by "no password set" for root account (and otthers)?

    - by MMA
    Several years back, we were more accustomed to changing to the root account using the su command. First, we switched to the root account, and then executed those root commands. Now we are more accustomed to using the sudo command. But we know that the root account is there. We can readily find the home directory of user root. $ ls -ld /root/ drwx------ 18 root root 4096 Oct 22 17:21 /root/ Now my point is, it is stated that "the root password in Ubuntu is left unset". Please see the answers to this question. Most of the answers have something to this effect in the first paragraph. One or two answers further state that "the account is left disabled". Now my (primary) questions are, What is meant by an unset password? Is it blank? Is it null? Or something else more cryptic? How does the account becomes enabled once I set password for it? (sudo password root) In order get a better understanding, I checked the /etc/shadow file. Since I have already set a password for the root account, I can no longer see what is there (encrypted password). So, I created another account and left it disabled. The corresponding entry in the /etc/shadow file is, testpassword:!:16020:0:99999:7::: Now perhaps my above queries need to be changed to, what does an ! in password field mean? Other encrypted passwords are those very long cryptic strings. How come this encrypted form is only one character long? And does an account become disabled if I put an ! in the (encrypted) password field?

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  • Node.js for lua?

    - by Shahbaz
    I've been playing around with node.js (nodejs) for the past few day and it is fantastic. As far as I can tell, lua doesn't have a similar integration of libev and libio which let's one avoid almost any blocking calls and interact with the network and the filesystem in an asynchronous manner. I'm slowly porting my java implementation to nodejs, but I'm shocked that luajit is much faster than v8 JavaScript AND uses far less memory! I imagine writing my server in such an environment (very fast and responsive, very low memory usage, very expressive) will improve my project immensly. Being new to lua, I'm just not sure if such a thing exists. I'll appreciate any pointers. Thanks

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  • How to write reusable code in node.js

    - by lortabac
    I am trying to understand how to design node.js applications, but it seems there is something I can't grasp about asynchronous programming. Let's say my application needs to access a database. In a synchronous environment I would implement a data access class with a read() method, returning an associative array. In node.js, because code is executed asynchronously, this method can't return a value, so, after execution, it will have to "do" something as a side effect. It will then contain some code which does something else than just reading data. Let's suppose I want to call this method multiple times, each time with a different success callback. Since the callback is included in the method itself, I can't find a clean way to do this without either duplicating the method or specifying all possible callbacks in a long switch statement. What is the proper way to handle this problem? Am I approaching it the wrong way?

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  • Programmatically disclosing a node in af:tree and af:treeTable

    - by Frank Nimphius
    A common developer requirement when working with af:tree or af:treeTable components is to programmatically disclose (expand) a specific node in the tree. If the node to disclose is not a top level node, like a location in a LocationsView -> DepartmentsView -> EmployeesView hierarchy, you need to also disclose the node's parent node hierarchy for application users to see the fully expanded tree node structure. Working on ADF Code Corner sample #101, I wrote the following code lines that show a generic option for disclosing a tree node starting from a handle to the node to disclose. The use case in ADF Coder Corner sample #101 is a drag and drop operation from a table component to a tree to relocate employees to a new department. The tree node that receives the drop is a department node contained in a location. In theory the location could be part of a country and so on to indicate the depth the tree may have. Based on this structure, the code below provides a generic solution to parse the current node parent nodes and its child nodes. The drop event provided a rowKey for the tree node that received the drop. Like in af:table, the tree row key is not of type oracle.jbo.domain.Key but an implementation of java.util.List that contains the row keys. The JUCtrlHierBinding class in the ADF Binding layer that represents the ADF tree binding at runtime provides a method named findNodeByKeyPath that allows you to get a handle to the JUCtrlHierNodeBinding instance that represents a tree node in the binding layer. CollectionModel model = (CollectionModel) your_af_tree_reference.getValue(); JUCtrlHierBinding treeBinding = (JUCtrlHierBinding ) model.getWrappedData(); JUCtrlHierNodeBinding treeDropNode = treeBinding.findNodeByKeyPath(dropRowKey); To disclose the tree node, you need to create a RowKeySet, which you do using the RowKeySetImpl class. Because the RowKeySet replaces any existing row key set in the tree, all other nodes are automatically closed. RowKeySetImpl rksImpl = new RowKeySetImpl(); //the first key to add is the node that received the drop //operation (departments).            rksImpl.add(dropRowKey);    Similar, from the tree binding, the root node can be obtained. The root node is the end of all parent node iteration and therefore important. JUCtrlHierNodeBinding rootNode = treeBinding.getRootNodeBinding(); The following code obtains a reference to the hierarchy of parent nodes until the root node is found. JUCtrlHierNodeBinding dropNodeParent = treeDropNode.getParent(); //walk up the tree to expand all parent nodes while(dropNodeParent != null && dropNodeParent != rootNode){    //add the node's keyPath (remember its a List) to the row key set    rksImpl.add(dropNodeParent.getKeyPath());      dropNodeParent = dropNodeParent.getParent(); } Next, you disclose the drop node immediate child nodes as otherwise all you see is the department node. Its not quite exactly "dinner for one", but the procedure is very similar to the one handling the parent node keys ArrayList<JUCtrlHierNodeBinding> childList = (ArrayList<JUCtrlHierNodeBinding>) treeDropNode.getChildren();                     for(JUCtrlHierNodeBinding nb : childList){   rksImpl.add(nb.getKeyPath()); } Next, the row key set is defined as the disclosed row keys on the tree so when you refresh (PPR) the tree, the new disclosed state shows tree.setDisclosedRowKeys(rksImpl); AdfFacesContext.getCurrentInstance().addPartialTarget(tree.getParent()); The refresh in my use case is on the tree parent component (a layout container), which usually shows the best effect for refreshing the tree component. 

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  • How to write loosely coupled classes in node.js

    - by lortabac
    I am trying to understand how to design node.js applications, but it seems there is something I can't grasp about asynchronous programming. Let's say my application needs to access a database. In a synchronous environment I would implement a data access class with a read() method, returning an associative array. In node.js, because code is executed asynchronously, this method can't return a value, so, after execution, it will have to "do" something as a side effect. It will then contain at least 1 line of extraneous code which has nothing to do with data access. Multiply this for all methods and all classes and you will very soon have an unmanageable "code soup". What is the proper way to handle this problem? Am I approaching it the wrong way?

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  • Node.js Lockstep Multiplayer Architecture

    - by Wakaka
    Background I'm using the lockstep model for a multiplayer Node.js/Socket.IO game in a client-server architecture. User input (mouse or keypress) is parsed into commands like 'attack' and 'move' on the client, which are sent to the server and scheduled to be executed on a certain tick. This is in contrast to sending state data to clients, which I don't wish to use due to bandwidth issues. Each tick, the server will send the list of commands on that tick (possibly empty) to each client. The server and all clients will then process the commands and simulate that tick in exactly the same way. With Node.js this is actually quite simple due to possibility of code sharing between server and client. I'll just put the deterministic simulator in the /shared folder which can be run by both server and client. The server simulation is required so that there is an authoritative version of the simulation which clients cannot alter. Problem Now, the game has many entity classes, like Unit, Item, Tree etc. Entities are created in the simulator. However, for each class, it has some methods that are shared and some that are client-specific. For instance, the Unit class has addHp method which is shared. It also has methods like getSprite (gets the image of the entity), isVisible (checks if unit can be seen by the client), onDeathInClient (does a bunch of stuff when it dies only on the client like adding announcements) and isMyUnit (quick function to check if the client owns the unit). Up till now, I have been piling all the client functions into the shared Unit class, and adding a this.game.isServer() check when necessary. For instance, when the unit dies, it will call if (!this.game.isServer()) { this.onDeathInClient(); }. This approach has worked pretty fine so far, in terms of functionality. But as the codebase grew bigger, this style of coding seems a little strange. Firstly, the client code is clearly not shared, and yet is placed under the /shared folder. Secondly, client-specific variables for each entity are also instantiated on the server entity (like unit.sprite) and can run into problems when the server cannot instantiate the variable (it doesn't have Image class like on browsers). So my question is, is there a better way to organize the client code, or is this a common way of doing things for lockstep multiplayer games? I can think of a possible workaround, but it does have its own problems. Possible workaround (with problems) I could use Javascript mixins that are only added when in a browser. Thus, in the /shared/unit.js file in the /shared folder, I would have this code at the end: if (typeof exports !== 'undefined') module.exports = Unit; else mixin(Unit, LocalUnit); Then I would have /client/localunit.js store an object LocalUnit of client-side methods for Unit. Now, I already have a publish-subscribe system in place for events in the simulator. To remove the this.game.isServer() checks, I could publish entity-specific events whenever I want the client to do something. For instance, I would do this.publish('Death') in /shared/unit.js and do this.subscribe('Death', this.onDeathInClient) in /client/localunit.js. But this would make the simulator's event listeners list on the server and the client different. Now if I want to clear all subscribed events only from the shared simulator, I can't. Of course, it is possible to create two event subscription systems - one client-specific and one shared - but now the publish() method would have to do if (!this.game.isServer()) { this.publishOnClient(event); }. All in all, the workaround off the top of my head seems pretty complicated for something as simple as separating the client and shared code. Thus, I wonder if there is an established and simpler method for better code organization, hopefully specific to Node.js games.

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  • What is the root of my application?

    - by railguage48
    Can someone help me understand what is the root of my application? I would like to use vim and create a one line procfile in the root of my application. Then I can test the procfile using a gem called foreman with the following command in my terminal: foreman start I have tried sudo vim /procfile and created the file and saved it in what I thought to be the root. Then I typed: foreman start and the response is that Procfile does not exist. Any help would be most appreciated.

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  • Root access issues - how do others manage this?

    - by Ciaran Archer
    Hi there I use my Ubuntu 10.04 LTS instance (via Virtual Box on Windows 7) with a non-root user. I am trying out developing Rails applications and I notice that I need to run some rails commands with sudo. The problem this gives me is some files are created by the root user then, and I cannot edit them via a GNOME window with my logged in user. What is the correct thing to do here? Should I somehow always login as root? If so how? Is there some way for me to give all files under my home directory (where I do all my Rails work) the correct permissions for all users, so I can edit them with my logged in user via a window? At the moment I have to resort to opening a file via the command line like this sudo gedit myFile.rb - this is not very sustainable! Thanks in advance!

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  • Recent Ubuntu update prevents MySQL root access

    - by Rhys
    I recently updated my Ubuntu (10.04 LTS) server (apt-get update, apt-get upgrade), and everything works fine, apart from the root access to my MySQL database. phpMyAdmin, CakePHP, and essentially all connections return similar access errors. For example, PMA returns 'Connection for controluser as defined in your configuration failed.' I have tried to find similar examples of this instance, but cannot find assistance in what configuration I should be changing to restore root log in access. The same issue has occurred on two servers. One has additional users so I could get around it, but the other is a new development server with only root MySQL access, so I am stuck on how to resolve this.

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  • How to run a complete GUI as root?

    - by Braiam
    I don't care if I mess up the system (which is likely if I do things like this), or the potential security issues that this could imply. Note, that I don't just want to "enable root login?", but run my GUI from bottom-up as root. I don't want to type my password for anything but just for login and have total control over it. Of course, I want any application running as root, like Firefox, LibreOffice, etc. without having to mess up with the terminal. So, how do I do this?

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  • Root directory of the kernel

    - by user592748
    A newbie here. I am trying to set up Eclipse for Linux Kernel Programming. The guide says set the project location as the root directory of the kernel. Where's the root directory of the kernel now? According to Linux file hierarchy system, it lists /lib as the root directory for shared libraries and kernel modules. I also see /lib32 and /lib64. However, I tried proceeding selecting /lib as the location and eclipse doesn't allow me to create the project.

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  • I can't log-in to WinSCP using username "root"

    - by Jessyle Ivy
    I can't log-in to WinSCP using username "root". I already change the password of "root" in Ubuntu, and I successfully log-in there. But in WinSCP, it goes like this Search for host... Connecting to host... Authenticating... Using username "root" Authenticating with pre-entered password. Access Denied. and I am need to re-type the password again. By the way I'm using VMware Player for Ubuntu. Thanks!

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  • Node.js Adventure - When Node Flying in Wind

    - by Shaun
    In the first post of this series I mentioned some popular modules in the community, such as underscore, async, etc.. I also listed a module named “Wind (zh-CN)”, which is created by one of my friend, Jeff Zhao (zh-CN). Now I would like to use a separated post to introduce this module since I feel it brings a new async programming style in not only Node.js but JavaScript world. If you know or heard about the new feature in C# 5.0 called “async and await”, or you learnt F#, you will find the “Wind” brings the similar async programming experience in JavaScript. By using “Wind”, we can write async code that looks like the sync code. The callbacks, async stats and exceptions will be handled by “Wind” automatically and transparently.   What’s the Problem: Dense “Callback” Phobia Let’s firstly back to my second post in this series. As I mentioned in that post, when we wanted to read some records from SQL Server we need to open the database connection, and then execute the query. In Node.js all IO operation are designed as async callback pattern which means when the operation was done, it will invoke a function which was taken from the last parameter. For example the database connection opening code would be like this. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: } 8: }); And then if we need to query the database the code would be like this. It nested in the previous function. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: conn.queryRaw(command, function(error, results) { 8: if(error) { 9: // failed to execute this command 10: } 11: else { 12: // records retrieved successfully 13: } 14: }; 15: } 16: }); Assuming if we need to copy some data from this database to another then we need to open another connection and execute the command within the function under the query function. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: conn.queryRaw(command, function(error, results) { 8: if(error) { 9: // failed to execute this command 10: } 11: else { 12: // records retrieved successfully 13: target.open(targetConnectionString, function(error, t_conn) { 14: if(error) { 15: // connect failed 16: } 17: else { 18: t_conn.queryRaw(copy_command, function(error, results) { 19: if(error) { 20: // copy failed 21: } 22: else { 23: // and then, what do you want to do now... 24: } 25: }; 26: } 27: }; 28: } 29: }; 30: } 31: }); This is just an example. In the real project the logic would be more complicated. This means our application might be messed up and the business process will be fragged by many callback functions. I would like call this “Dense Callback Phobia”. This might be a challenge how to make code straightforward and easy to read, something like below. 1: try 2: { 3: // open source connection 4: var s_conn = sqlConnect(s_connectionString); 5: // retrieve data 6: var results = sqlExecuteCommand(s_conn, s_command); 7: 8: // open target connection 9: var t_conn = sqlConnect(t_connectionString); 10: // prepare the copy command 11: var t_command = getCopyCommand(results); 12: // execute the copy command 13: sqlExecuteCommand(s_conn, t_command); 14: } 15: catch (ex) 16: { 17: // error handling 18: }   What’s the Problem: Sync-styled Async Programming Similar as the previous problem, the callback-styled async programming model makes the upcoming operation as a part of the current operation, and mixed with the error handling code. So it’s very hard to understand what on earth this code will do. And since Node.js utilizes non-blocking IO mode, we cannot invoke those operations one by one, as they will be executed concurrently. For example, in this post when I tried to copy the records from Windows Azure SQL Database (a.k.a. WASD) to Windows Azure Table Storage, if I just insert the data into table storage one by one and then print the “Finished” message, I will see the message shown before the data had been copied. This is because all operations were executed at the same time. In order to make the copy operation and print operation executed synchronously I introduced a module named “async” and the code was changed as below. 1: async.forEach(results.rows, 2: function (row, callback) { 3: var resource = { 4: "PartitionKey": row[1], 5: "RowKey": row[0], 6: "Value": row[2] 7: }; 8: client.insertEntity(tableName, resource, function (error) { 9: if (error) { 10: callback(error); 11: } 12: else { 13: console.log("entity inserted."); 14: callback(null); 15: } 16: }); 17: }, 18: function (error) { 19: if (error) { 20: error["target"] = "insertEntity"; 21: res.send(500, error); 22: } 23: else { 24: console.log("all done."); 25: res.send(200, "Done!"); 26: } 27: }); It ensured that the “Finished” message will be printed when all table entities had been inserted. But it cannot promise that the records will be inserted in sequence. It might be another challenge to make the code looks like in sync-style? 1: try 2: { 3: forEach(row in rows) { 4: var entity = { /* ... */ }; 5: tableClient.insert(tableName, entity); 6: } 7:  8: console.log("Finished"); 9: } 10: catch (ex) { 11: console.log(ex); 12: }   How “Wind” Helps “Wind” is a JavaScript library which provides the control flow with plain JavaScript for asynchronous programming (and more) without additional pre-compiling steps. It’s available in NPM so that we can install it through “npm install wind”. Now let’s create a very simple Node.js application as the example. This application will take some website URLs from the command arguments and tried to retrieve the body length and print them in console. Then at the end print “Finish”. I’m going to use “request” module to make the HTTP call simple so I also need to install by the command “npm install request”. The code would be like this. 1: var request = require("request"); 2:  3: // get the urls from arguments, the first two arguments are `node.exe` and `fetch.js` 4: var args = process.argv.splice(2); 5:  6: // main function 7: var main = function() { 8: for(var i = 0; i < args.length; i++) { 9: // get the url 10: var url = args[i]; 11: // send the http request and try to get the response and body 12: request(url, function(error, response, body) { 13: if(!error && response.statusCode == 200) { 14: // log the url and the body length 15: console.log( 16: "%s: %d.", 17: response.request.uri.href, 18: body.length); 19: } 20: else { 21: // log error 22: console.log(error); 23: } 24: }); 25: } 26: 27: // finished 28: console.log("Finished"); 29: }; 30:  31: // execute the main function 32: main(); Let’s execute this application. (I made them in multi-lines for better reading.) 1: node fetch.js 2: "http://www.igt.com/us-en.aspx" 3: "http://www.igt.com/us-en/games.aspx" 4: "http://www.igt.com/us-en/cabinets.aspx" 5: "http://www.igt.com/us-en/systems.aspx" 6: "http://www.igt.com/us-en/interactive.aspx" 7: "http://www.igt.com/us-en/social-gaming.aspx" 8: "http://www.igt.com/support.aspx" Below is the output. As you can see the finish message was printed at the beginning, and the pages’ length retrieved in a different order than we specified. This is because in this code the request command, console logging command are executed asynchronously and concurrently. Now let’s introduce “Wind” to make them executed in order, which means it will request the websites one by one, and print the message at the end.   First of all we need to import the “Wind” package and make sure the there’s only one global variant named “Wind”, and ensure it’s “Wind” instead of “wind”. 1: var Wind = require("wind");   Next, we need to tell “Wind” which code will be executed asynchronously so that “Wind” can control the execution process. In this case the “request” operation executed asynchronously so we will create a “Task” by using a build-in helps function in “Wind” named Wind.Async.Task.create. 1: var requestBodyLengthAsync = function(url) { 2: return Wind.Async.Task.create(function(t) { 3: request(url, function(error, response, body) { 4: if(error || response.statusCode != 200) { 5: t.complete("failure", error); 6: } 7: else { 8: var data = 9: { 10: uri: response.request.uri.href, 11: length: body.length 12: }; 13: t.complete("success", data); 14: } 15: }); 16: }); 17: }; The code above created a “Task” from the original request calling code. In “Wind” a “Task” means an operation will be finished in some time in the future. A “Task” can be started by invoke its start() method, but no one knows when it actually will be finished. The Wind.Async.Task.create helped us to create a task. The only parameter is a function where we can put the actual operation in, and then notify the task object it’s finished successfully or failed by using the complete() method. In the code above I invoked the request method. If it retrieved the response successfully I set the status of this task as “success” with the URL and body length. If it failed I set this task as “failure” and pass the error out.   Next, we will change the main() function. In “Wind” if we want a function can be controlled by Wind we need to mark it as “async”. This should be done by using the code below. 1: var main = eval(Wind.compile("async", function() { 2: })); When the application is running, Wind will detect “eval(Wind.compile(“async”, function” and generate an anonymous code from the body of this original function. Then the application will run the anonymous code instead of the original one. In our example the main function will be like this. 1: var main = eval(Wind.compile("async", function() { 2: for(var i = 0; i < args.length; i++) { 3: try 4: { 5: var result = $await(requestBodyLengthAsync(args[i])); 6: console.log( 7: "%s: %d.", 8: result.uri, 9: result.length); 10: } 11: catch (ex) { 12: console.log(ex); 13: } 14: } 15: 16: console.log("Finished"); 17: })); As you can see, when I tried to request the URL I use a new command named “$await”. It tells Wind, the operation next to $await will be executed asynchronously, and the main thread should be paused until it finished (or failed). So in this case, my application will be pause when the first response was received, and then print its body length, then try the next one. At the end, print the finish message.   Finally, execute the main function. The full code would be like this. 1: var request = require("request"); 2: var Wind = require("wind"); 3:  4: var args = process.argv.splice(2); 5:  6: var requestBodyLengthAsync = function(url) { 7: return Wind.Async.Task.create(function(t) { 8: request(url, function(error, response, body) { 9: if(error || response.statusCode != 200) { 10: t.complete("failure", error); 11: } 12: else { 13: var data = 14: { 15: uri: response.request.uri.href, 16: length: body.length 17: }; 18: t.complete("success", data); 19: } 20: }); 21: }); 22: }; 23:  24: var main = eval(Wind.compile("async", function() { 25: for(var i = 0; i < args.length; i++) { 26: try 27: { 28: var result = $await(requestBodyLengthAsync(args[i])); 29: console.log( 30: "%s: %d.", 31: result.uri, 32: result.length); 33: } 34: catch (ex) { 35: console.log(ex); 36: } 37: } 38: 39: console.log("Finished"); 40: })); 41:  42: main().start();   Run our new application. At the beginning we will see the compiled and generated code by Wind. Then we can see the pages were requested one by one, and at the end the finish message was printed. Below is the code Wind generated for us. As you can see the original code, the output code were shown. 1: // Original: 2: function () { 3: for(var i = 0; i < args.length; i++) { 4: try 5: { 6: var result = $await(requestBodyLengthAsync(args[i])); 7: console.log( 8: "%s: %d.", 9: result.uri, 10: result.length); 11: } 12: catch (ex) { 13: console.log(ex); 14: } 15: } 16: 17: console.log("Finished"); 18: } 19:  20: // Compiled: 21: /* async << function () { */ (function () { 22: var _builder_$0 = Wind.builders["async"]; 23: return _builder_$0.Start(this, 24: _builder_$0.Combine( 25: _builder_$0.Delay(function () { 26: /* var i = 0; */ var i = 0; 27: /* for ( */ return _builder_$0.For(function () { 28: /* ; i < args.length */ return i < args.length; 29: }, function () { 30: /* ; i ++) { */ i ++; 31: }, 32: /* try { */ _builder_$0.Try( 33: _builder_$0.Delay(function () { 34: /* var result = $await(requestBodyLengthAsync(args[i])); */ return _builder_$0.Bind(requestBodyLengthAsync(args[i]), function (result) { 35: /* console.log("%s: %d.", result.uri, result.length); */ console.log("%s: %d.", result.uri, result.length); 36: return _builder_$0.Normal(); 37: }); 38: }), 39: /* } catch (ex) { */ function (ex) { 40: /* console.log(ex); */ console.log(ex); 41: return _builder_$0.Normal(); 42: /* } */ }, 43: null 44: ) 45: /* } */ ); 46: }), 47: _builder_$0.Delay(function () { 48: /* console.log("Finished"); */ console.log("Finished"); 49: return _builder_$0.Normal(); 50: }) 51: ) 52: ); 53: /* } */ })   How Wind Works Someone may raise a big concern when you find I utilized “eval” in my code. Someone may assume that Wind utilizes “eval” to execute some code dynamically while “eval” is very low performance. But I would say, Wind does NOT use “eval” to run the code. It only use “eval” as a flag to know which code should be compiled at runtime. When the code was firstly been executed, Wind will check and find “eval(Wind.compile(“async”, function”. So that it knows this function should be compiled. Then it utilized parse-js to analyze the inner JavaScript and generated the anonymous code in memory. Then it rewrite the original code so that when the application was running it will use the anonymous one instead of the original one. Since the code generation was done at the beginning of the application was started, in the future no matter how long our application runs and how many times the async function was invoked, it will use the generated code, no need to generate again. So there’s no significant performance hurt when using Wind.   Wind in My Previous Demo Let’s adopt Wind into one of my previous demonstration and to see how it helps us to make our code simple, straightforward and easy to read and understand. In this post when I implemented the functionality that copied the records from my WASD to table storage, the logic would be like this. 1, Open database connection. 2, Execute a query to select all records from the table. 3, Recreate the table in Windows Azure table storage. 4, Create entities from each of the records retrieved previously, and then insert them into table storage. 5, Finally, show message as the HTTP response. But as the image below, since there are so many callbacks and async operations, it’s very hard to understand my logic from the code. Now let’s use Wind to rewrite our code. First of all, of course, we need the Wind package. Then we need to include the package files into project and mark them as “Copy always”. Add the Wind package into the source code. Pay attention to the variant name, you must use “Wind” instead of “wind”. 1: var express = require("express"); 2: var async = require("async"); 3: var sql = require("node-sqlserver"); 4: var azure = require("azure"); 5: var Wind = require("wind"); Now we need to create some async functions by using Wind. All async functions should be wrapped so that it can be controlled by Wind which are open database, retrieve records, recreate table (delete and create) and insert entity in table. Below are these new functions. All of them are created by using Wind.Async.Task.create. 1: sql.openAsync = function (connectionString) { 2: return Wind.Async.Task.create(function (t) { 3: sql.open(connectionString, function (error, conn) { 4: if (error) { 5: t.complete("failure", error); 6: } 7: else { 8: t.complete("success", conn); 9: } 10: }); 11: }); 12: }; 13:  14: sql.queryAsync = function (conn, query) { 15: return Wind.Async.Task.create(function (t) { 16: conn.queryRaw(query, function (error, results) { 17: if (error) { 18: t.complete("failure", error); 19: } 20: else { 21: t.complete("success", results); 22: } 23: }); 24: }); 25: }; 26:  27: azure.recreateTableAsync = function (tableName) { 28: return Wind.Async.Task.create(function (t) { 29: client.deleteTable(tableName, function (error, successful, response) { 30: console.log("delete table finished"); 31: client.createTableIfNotExists(tableName, function (error, successful, response) { 32: console.log("create table finished"); 33: if (error) { 34: t.complete("failure", error); 35: } 36: else { 37: t.complete("success", null); 38: } 39: }); 40: }); 41: }); 42: }; 43:  44: azure.insertEntityAsync = function (tableName, entity) { 45: return Wind.Async.Task.create(function (t) { 46: client.insertEntity(tableName, entity, function (error, entity, response) { 47: if (error) { 48: t.complete("failure", error); 49: } 50: else { 51: t.complete("success", null); 52: } 53: }); 54: }); 55: }; Then in order to use these functions we will create a new function which contains all steps for data copying. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: } 4: catch (ex) { 5: console.log(ex); 6: res.send(500, "Internal error."); 7: } 8: })); Let’s execute steps one by one with the “$await” keyword introduced by Wind so that it will be invoked in sequence. First is to open the database connection. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: } 7: catch (ex) { 8: console.log(ex); 9: res.send(500, "Internal error."); 10: } 11: })); Then retrieve all records from the database connection. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: } 10: catch (ex) { 11: console.log(ex); 12: res.send(500, "Internal error."); 13: } 14: })); After recreated the table, we need to create the entities and insert them into table storage. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage one by one 14: for (var i = 0; i < results.rows.length; i++) { 15: var entity = { 16: "PartitionKey": results.rows[i][1], 17: "RowKey": results.rows[i][0], 18: "Value": results.rows[i][2] 19: }; 20: $await(azure.insertEntityAsync(tableName, entity)); 21: console.log("entity inserted"); 22: } 23: } 24: } 25: catch (ex) { 26: console.log(ex); 27: res.send(500, "Internal error."); 28: } 29: })); Finally, send response back to the browser. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage one by one 14: for (var i = 0; i < results.rows.length; i++) { 15: var entity = { 16: "PartitionKey": results.rows[i][1], 17: "RowKey": results.rows[i][0], 18: "Value": results.rows[i][2] 19: }; 20: $await(azure.insertEntityAsync(tableName, entity)); 21: console.log("entity inserted"); 22: } 23: // send response 24: console.log("all done"); 25: res.send(200, "All done!"); 26: } 27: } 28: catch (ex) { 29: console.log(ex); 30: res.send(500, "Internal error."); 31: } 32: })); If we compared with the previous code we will find now it became more readable and much easy to understand. It’s very easy to know what this function does even though without any comments. When user go to URL “/was/copyRecords” we will execute the function above. The code would be like this. 1: app.get("/was/copyRecords", function (req, res) { 2: copyRecords(req, res).start(); 3: }); And below is the logs printed in local compute emulator console. As we can see the functions executed one by one and then finally the response back to me browser.   Scaffold Functions in Wind Wind provides not only the async flow control and compile functions, but many scaffold methods as well. We can build our async code more easily by using them. I’m going to introduce some basic scaffold functions here. In the code above I created some functions which wrapped from the original async function such as open database, create table, etc.. All of them are very similar, created a task by using Wind.Async.Task.create, return error or result object through Task.complete function. In fact, Wind provides some functions for us to create task object from the original async functions. If the original async function only has a callback parameter, we can use Wind.Async.Binding.fromCallback method to get the task object directly. For example the code below returned the task object which wrapped the file exist check function. 1: var Wind = require("wind"); 2: var fs = require("fs"); 3:  4: fs.existsAsync = Wind.Async.Binding.fromCallback(fs.exists); In Node.js a very popular async function pattern is that, the first parameter in the callback function represent the error object, and the other parameters is the return values. In this case we can use another build-in function in Wind named Wind.Async.Binding.fromStandard. For example, the open database function can be created from the code below. 1: sql.openAsync = Wind.Async.Binding.fromStandard(sql.open); 2:  3: /* 4: sql.openAsync = function (connectionString) { 5: return Wind.Async.Task.create(function (t) { 6: sql.open(connectionString, function (error, conn) { 7: if (error) { 8: t.complete("failure", error); 9: } 10: else { 11: t.complete("success", conn); 12: } 13: }); 14: }); 15: }; 16: */ When I was testing the scaffold functions under Wind.Async.Binding I found for some functions, such as the Azure SDK insert entity function, cannot be processed correctly. So I personally suggest writing the wrapped method manually.   Another scaffold method in Wind is the parallel tasks coordination. In this example, the steps of open database, retrieve records and recreated table should be invoked one by one, but it can be executed in parallel when copying data from database to table storage. In Wind there’s a scaffold function named Task.whenAll which can be used here. Task.whenAll accepts a list of tasks and creates a new task. It will be returned only when all tasks had been completed, or any errors occurred. For example in the code below I used the Task.whenAll to make all copy operation executed at the same time. 1: var copyRecordsInParallel = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage in parallal 14: var tasks = new Array(results.rows.length); 15: for (var i = 0; i < results.rows.length; i++) { 16: var entity = { 17: "PartitionKey": results.rows[i][1], 18: "RowKey": results.rows[i][0], 19: "Value": results.rows[i][2] 20: }; 21: tasks[i] = azure.insertEntityAsync(tableName, entity); 22: } 23: $await(Wind.Async.Task.whenAll(tasks)); 24: // send response 25: console.log("all done"); 26: res.send(200, "All done!"); 27: } 28: } 29: catch (ex) { 30: console.log(ex); 31: res.send(500, "Internal error."); 32: } 33: })); 34:  35: app.get("/was/copyRecordsInParallel", function (req, res) { 36: copyRecordsInParallel(req, res).start(); 37: });   Besides the task creation and coordination, Wind supports the cancellation solution so that we can send the cancellation signal to the tasks. It also includes exception solution which means any exceptions will be reported to the caller function.   Summary In this post I introduced a Node.js module named Wind, which created by my friend Jeff Zhao. As you can see, different from other async library and framework, adopted the idea from F# and C#, Wind utilizes runtime code generation technology to make it more easily to write async, callback-based functions in a sync-style way. By using Wind there will be almost no callback, and the code will be very easy to understand. Currently Wind is still under developed and improved. There might be some problems but the author, Jeff, should be very happy and enthusiastic to learn your problems, feedback, suggestion and comments. You can contact Jeff by - Email: [email protected] - Group: https://groups.google.com/d/forum/windjs - GitHub: https://github.com/JeffreyZhao/wind/issues   Source code can be download 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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    I am in the phase of designing a mmo browser based game (certainly not massive, but all connected players are in the same universe), and I am struggling with finding a good solution to the problem of distributing players across processes. I'm using node.js with socket.io. I have read this helpful article, but I would like some advice since I am also concerned with different processes. Solution 1: Tie a process to a map location (like a map-cell), connect players to the process corresponding to their location. When a player performs an action, transmit it to all other players in this process. When a player moves away, he will eventually have to connect to another process (automatically). Pros: Easier to implement Cons: Must divide map into zones Player reconnection when moving into a different zone is probably annoying If one zone/process is always busy (has players in it), it doesn't really load-balance, unless I split the zone which may not be always viable There shouldn't be any visible borders Solution 1b: Same as 1, but connect processes of bordering cells, so that players on the other side of the border are visible and such. Maybe even let them interact. Solution 2: Spawn processes on demand, unrelated to a location. Have one special process to keep track of all connected player handles, their location, and the process they're connected to. Then when a player performs an action, the process finds all other nearby players (from the special player-process-location tracking node), and instructs their matching processes to relay the action. Pros: Easy load balancing: spawn more processes Avoids player reconnecting / borders between zones Cons: Harder to implement and test Additional steps of finding players, and relaying event/action to another process If the player-location-process tracking process fails, all other fail too I would like to hear if I'm missing something, or completely off track.

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    I am not sure if this is the right place to ask but, I thought this was the most suitable. I recently graduated from university. Learned the full php stack; basically all the LAMP stuff, obviously without counting all the other subjects. Not even got my degree and this whole node.js booming out of nowhere. You can imagine how one can feel about this, the story is always the same: you never end learning, and studying. So I recently got my hands on node.js; reading books, tutorials, and everything imaginable on the internet. The problem is one and simple: this is nowhere near to having a teacher standing near you helping you understanding and solving your problems, especially when all you can do is post your doubts on a website and patiently wait for replies. It's not that it isn't good, it's just much slower than what I just expressed above. So, in short words: is there a place where one can find someone willing to teach you about such contents? This would obviously done via remote means, like skype and such. Can anyone here point me into the right direction? Or just downvote me for being in the wrong website? Thanks in advance.

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    We have a websocket implementation (Node.js/Sock.js) that exchanges data as JSON strings. As our use cases grow, so have the size of the data transmitted across the wire. The websocket protocol does not natively offer any compression feature, so in order to reduce the size of our messages we'd have to manually do something about the serialisation. There appear to be a variety of LZW implementations in Javascript, some which confuses me on their compatibility for in-browser use only versus transmission across the wire due to my lack of understanding on low-level encodings. More importantly, all of them seem to take a noticeable performance drag when Javascript is the engine doing the compression/decompression work, which is not desirable for mobile devices. Looking instead other forms of compact serialisation, MessagePack does not appear to have any active support in Javascript itself; BSON does not have any Javascript implementation; and an alternative BISON project that I tested does not deserialise everything back to their original values (large numbers), and it does not look like any further development will happen either. What are some other options others have explored for Node.js?

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    whenever try to mount ntfs partition it says Error mounting: mount exited with exit code 1: helper failed with: Unprivileged user can not mount NTFS block devices using the external FUSE library. Either mount the volume as root, or rebuild NTFS-3G with integrated FUSE support and make it setuid root. Please see more information at http://tuxera.com/community/ntfs-3g-faq/#unprivileged I tried this answer but it wont work

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  • Root cannot access /dev/urandom

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    I am trying to generate a GPG key, and I cannot generate enough entropy. So I installed rng-tools and tried following these instructions: http://serverfault.com/questions/214605/gpg-not-enough-entropy When I am logged in as root, and try to run rngd -r /dev/urandom I get the following error: can't open /dev/random: Permission denied I find this disturbing as I am root. This is Ubuntu on a virtual server (via Parallels I believe.)

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    Say there's a web application that runs on example.com, would there be a penalty for 301 redirecting the root of the domain (example.com/) to subdomain.example.com for purposes of hosting the marketing website for an application? Obviously we would expect subdomain.example.com to be what is ranked in the search engine, not example.com. We would want other paths on example.com like example.com/path/to/resource to index normally, and be unaffected by the 301 on the root path.

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    Hello, I have a Dell R300 Ubuntu 9.10 box with 4GB of memory. All I'm running on there is haproxy, nagios and postfix yet there is ~2.7GB of memory being consumed. I've run ps and I can't get the sums to add up. Could anyone shed any light on where all the memory is being used? Cheers, Mark $ sudo free -m total used free shared buffers cached Mem: 3957 2746 1211 0 169 2320 -/+ buffers/cache: 256 3701 Swap: 6212 0 6212 Sorry for pasting all of ps' output but I'm keen to get to the bottom of this. $ sudo ps aux [sudo] password for mark: USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND root 1 0.0 0.0 19320 1656 ? Ss May20 0:05 /sbin/init root 2 0.0 0.0 0 0 ? S< May20 0:00 [kthreadd] root 3 0.0 0.0 0 0 ? S< May20 0:00 [migration/0] root 4 0.0 0.0 0 0 ? S< May20 0:16 [ksoftirqd/0] root 5 0.0 0.0 0 0 ? S< May20 0:00 [watchdog/0] root 6 0.0 0.0 0 0 ? S< May20 0:03 [migration/1] root 7 0.0 0.0 0 0 ? S< May20 3:10 [ksoftirqd/1] root 8 0.0 0.0 0 0 ? S< May20 0:00 [watchdog/1] root 9 0.0 0.0 0 0 ? S< May20 0:00 [migration/2] root 10 0.0 0.0 0 0 ? S< May20 0:19 [ksoftirqd/2] root 11 0.0 0.0 0 0 ? S< May20 0:00 [watchdog/2] root 12 0.0 0.0 0 0 ? S< May20 0:01 [migration/3] root 13 0.0 0.0 0 0 ? S< May20 0:41 [ksoftirqd/3] root 14 0.0 0.0 0 0 ? S< May20 0:00 [watchdog/3] root 15 0.0 0.0 0 0 ? S< May20 0:03 [events/0] root 16 0.0 0.0 0 0 ? S< May20 0:10 [events/1] root 17 0.0 0.0 0 0 ? S< May20 0:08 [events/2] root 18 0.0 0.0 0 0 ? S< May20 0:08 [events/3] root 19 0.0 0.0 0 0 ? S< May20 0:00 [cpuset] root 20 0.0 0.0 0 0 ? S< May20 0:00 [khelper] root 21 0.0 0.0 0 0 ? S< May20 0:00 [netns] root 22 0.0 0.0 0 0 ? S< May20 0:00 [async/mgr] root 23 0.0 0.0 0 0 ? S< May20 0:00 [kintegrityd/0] root 24 0.0 0.0 0 0 ? S< May20 0:00 [kintegrityd/1] root 25 0.0 0.0 0 0 ? S< May20 0:00 [kintegrityd/2] root 26 0.0 0.0 0 0 ? S< May20 0:00 [kintegrityd/3] root 27 0.0 0.0 0 0 ? S< May20 0:00 [kblockd/0] root 28 0.0 0.0 0 0 ? S< May20 0:01 [kblockd/1] root 29 0.0 0.0 0 0 ? S< May20 0:04 [kblockd/2] root 30 0.0 0.0 0 0 ? S< May20 0:02 [kblockd/3] root 31 0.0 0.0 0 0 ? S< May20 0:00 [kacpid] root 32 0.0 0.0 0 0 ? S< May20 0:00 [kacpi_notify] root 33 0.0 0.0 0 0 ? S< May20 0:00 [kacpi_hotplug] root 34 0.0 0.0 0 0 ? S< May20 0:00 [ata/0] root 35 0.0 0.0 0 0 ? S< May20 0:00 [ata/1] root 36 0.0 0.0 0 0 ? S< May20 0:00 [ata/2] root 37 0.0 0.0 0 0 ? S< May20 0:00 [ata/3] root 38 0.0 0.0 0 0 ? S< May20 0:00 [ata_aux] root 39 0.0 0.0 0 0 ? S< May20 0:00 [ksuspend_usbd] root 40 0.0 0.0 0 0 ? S< May20 0:00 [khubd] root 41 0.0 0.0 0 0 ? S< May20 0:00 [kseriod] root 42 0.0 0.0 0 0 ? S< May20 0:00 [kmmcd] root 43 0.0 0.0 0 0 ? S< May20 0:00 [bluetooth] root 44 0.0 0.0 0 0 ? S May20 0:00 [khungtaskd] root 45 0.0 0.0 0 0 ? S May20 0:00 [pdflush] root 46 0.0 0.0 0 0 ? S May20 0:09 [pdflush] root 47 0.0 0.0 0 0 ? S< May20 0:00 [kswapd0] root 48 0.0 0.0 0 0 ? S< May20 0:00 [aio/0] root 49 0.0 0.0 0 0 ? S< May20 0:00 [aio/1] root 50 0.0 0.0 0 0 ? S< May20 0:00 [aio/2] root 51 0.0 0.0 0 0 ? S< May20 0:00 [aio/3] root 52 0.0 0.0 0 0 ? S< May20 0:00 [ecryptfs-kthrea] root 53 0.0 0.0 0 0 ? S< May20 0:00 [crypto/0] root 54 0.0 0.0 0 0 ? S< May20 0:00 [crypto/1] root 55 0.0 0.0 0 0 ? S< May20 0:00 [crypto/2] root 56 0.0 0.0 0 0 ? S< May20 0:00 [crypto/3] root 70 0.0 0.0 0 0 ? S< May20 0:00 [scsi_eh_0] root 71 0.0 0.0 0 0 ? S< May20 0:00 [scsi_eh_1] root 74 0.0 0.0 0 0 ? S< May20 0:00 [scsi_eh_2] root 75 0.0 0.0 0 0 ? S< May20 0:00 [scsi_eh_3] root 82 0.0 0.0 0 0 ? S< May20 0:00 [kstriped] root 83 0.0 0.0 0 0 ? S< May20 0:00 [kmpathd/0] root 84 0.0 0.0 0 0 ? S< May20 0:00 [kmpathd/1] root 85 0.0 0.0 0 0 ? S< May20 0:00 [kmpathd/2] root 86 0.0 0.0 0 0 ? S< May20 0:00 [kmpathd/3] root 87 0.0 0.0 0 0 ? S< May20 0:00 [kmpath_handlerd] root 88 0.0 0.0 0 0 ? S< May20 0:00 [ksnapd] root 89 0.0 0.0 0 0 ? S< May20 0:00 [kondemand/0] root 90 0.0 0.0 0 0 ? S< May20 0:00 [kondemand/1] root 91 0.0 0.0 0 0 ? S< May20 0:00 [kondemand/2] root 92 0.0 0.0 0 0 ? S< May20 0:00 [kondemand/3] root 93 0.0 0.0 0 0 ? S< May20 0:00 [kconservative/0] root 94 0.0 0.0 0 0 ? S< May20 0:00 [kconservative/1] root 95 0.0 0.0 0 0 ? S< May20 0:00 [kconservative/2] root 96 0.0 0.0 0 0 ? S< May20 0:00 [kconservative/3] root 97 0.0 0.0 0 0 ? S< May20 0:00 [krfcommd] root 315 0.0 0.0 0 0 ? S< May20 0:09 [mpt_poll_0] root 317 0.0 0.0 0 0 ? S< May20 0:00 [mpt/0] root 547 0.0 0.0 0 0 ? S< May20 0:00 [scsi_eh_4] root 587 0.0 0.0 0 0 ? S< May20 0:11 [kjournald2] root 636 0.0 0.0 12748 860 ? S May20 0:00 upstart-udev-bridge --daemon root 657 0.0 0.0 17064 924 ? S<s May20 0:00 udevd --daemon root 666 0.0 0.0 8192 612 ? Ss May20 0:00 dd bs=1 if=/proc/kmsg of=/var/run/rsyslog/kmsg root 774 0.0 0.0 17060 888 ? S< May20 0:00 udevd --daemon root 775 0.0 0.0 17060 888 ? S< May20 0:00 udevd --daemon syslog 825 0.0 0.0 191696 1988 ? Sl May20 0:31 rsyslogd -c4 root 839 0.0 0.0 0 0 ? S< May20 0:00 [edac-poller] root 870 0.0 0.0 0 0 ? S< May20 0:00 [kpsmoused] root 1006 0.0 0.0 5988 604 tty4 Ss+ May20 0:00 /sbin/getty -8 38400 tty4 root 1008 0.0 0.0 5988 604 tty5 Ss+ May20 0:00 /sbin/getty -8 38400 tty5 root 1015 0.0 0.0 5988 604 tty2 Ss+ May20 0:00 /sbin/getty -8 38400 tty2 root 1016 0.0 0.0 5988 608 tty3 Ss+ May20 0:00 /sbin/getty -8 38400 tty3 root 1018 0.0 0.0 5988 604 tty6 Ss+ May20 0:00 /sbin/getty -8 38400 tty6 daemon 1025 0.0 0.0 16512 472 ? Ss May20 0:00 atd root 1026 0.0 0.0 18708 1000 ? Ss May20 0:03 cron root 1052 0.0 0.0 49072 1252 ? Ss May20 0:25 /usr/sbin/sshd root 1084 0.0 0.0 5988 604 tty1 Ss+ May20 0:00 /sbin/getty -8 38400 tty1 root 6320 0.0 0.0 19440 956 ? Ss May21 0:00 /usr/sbin/xinetd -pidfile /var/run/xinetd.pid -stayalive -inetd_compat -inetd_ipv6 nagios 8197 0.0 0.0 27452 1696 ? SNs May21 2:57 /usr/sbin/nagios3 -d /etc/nagios3/nagios.cfg root 10882 0.1 0.0 70280 3104 ? Ss 10:30 0:00 sshd: mark [priv] mark 10934 0.0 0.0 70432 1776 ? S 10:30 0:00 sshd: mark@pts/0 mark 10935 1.4 0.1 21572 4336 pts/0 Ss 10:30 0:00 -bash root 10953 1.0 0.0 15164 1136 pts/0 R+ 10:30 0:00 ps aux haproxy 12738 0.0 0.0 17208 992 ? Ss Jun08 0:49 /usr/sbin/haproxy -f /etc/haproxy/haproxy.cfg root 23953 0.0 0.0 37012 2192 ? Ss Jun04 0:03 /usr/lib/postfix/master postfix 23955 0.0 0.0 39232 2356 ? S Jun04 0:00 qmgr -l -t fifo -u postfix 32603 0.0 0.0 39072 2132 ? S 09:05 0:00 pickup -l -t fifo -u -c Here's meminfo: $ cat /proc/meminfo MemTotal: 4052852 kB MemFree: 1240488 kB Buffers: 173172 kB Cached: 2376420 kB SwapCached: 0 kB Active: 1479288 kB Inactive: 1081876 kB Active(anon): 11792 kB Inactive(anon): 0 kB Active(file): 1467496 kB Inactive(file): 1081876 kB Unevictable: 0 kB Mlocked: 0 kB SwapTotal: 6361700 kB SwapFree: 6361700 kB Dirty: 44 kB Writeback: 0 kB AnonPages: 11568 kB Mapped: 5844 kB Slab: 155032 kB SReclaimable: 145804 kB SUnreclaim: 9228 kB PageTables: 1592 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 8388124 kB Committed_AS: 51732 kB VmallocTotal: 34359738367 kB VmallocUsed: 282604 kB VmallocChunk: 34359453499 kB HugePages_Total: 0 HugePages_Free: 0 HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB DirectMap4k: 6784 kB DirectMap2M: 4182016 kB Here's slabinfo: $ cat /proc/slabinfo slabinfo - version: 2.1 # name <active_objs> <num_objs> <objsize> <objperslab> <pagesperslab> : tunables <limit> <batchcount> <sharedfactor> : slabdata <active_slabs> <num_slabs> <sharedavail> ip6_dst_cache 50 50 320 25 2 : tunables 0 0 0 : slabdata 2 2 0 UDPLITEv6 0 0 960 17 4 : tunables 0 0 0 : slabdata 0 0 0 UDPv6 68 68 960 17 4 : tunables 0 0 0 : slabdata 4 4 0 tw_sock_TCPv6 0 0 320 25 2 : tunables 0 0 0 : slabdata 0 0 0 TCPv6 72 72 1792 18 8 : tunables 0 0 0 : slabdata 4 4 0 dm_raid1_read_record 0 0 1064 30 8 : tunables 0 0 0 : slabdata 0 0 0 kcopyd_job 0 0 368 22 2 : tunables 0 0 0 : slabdata 0 0 0 dm_uevent 0 0 2608 12 8 : tunables 0 0 0 : slabdata 0 0 0 dm_rq_target_io 0 0 376 21 2 : tunables 0 0 0 : slabdata 0 0 0 uhci_urb_priv 0 0 56 73 1 : tunables 0 0 0 : slabdata 0 0 0 cfq_queue 0 0 168 24 1 : tunables 0 0 0 : slabdata 0 0 0 mqueue_inode_cache 18 18 896 18 4 : tunables 0 0 0 : slabdata 1 1 0 fuse_request 0 0 632 25 4 : tunables 0 0 0 : slabdata 0 0 0 fuse_inode 0 0 768 21 4 : tunables 0 0 0 : slabdata 0 0 0 ecryptfs_inode_cache 0 0 1024 16 4 : tunables 0 0 0 : slabdata 0 0 0 hugetlbfs_inode_cache 26 26 608 26 4 : tunables 0 0 0 : slabdata 1 1 0 journal_handle 680 680 24 170 1 : tunables 0 0 0 : slabdata 4 4 0 journal_head 144 144 112 36 1 : tunables 0 0 0 : slabdata 4 4 0 revoke_table 256 256 16 256 1 : tunables 0 0 0 : slabdata 1 1 0 revoke_record 512 512 32 128 1 : tunables 0 0 0 : slabdata 4 4 0 ext4_inode_cache 53306 53424 888 18 4 : tunables 0 0 0 : slabdata 2968 2968 0 ext4_free_block_extents 292 292 56 73 1 : tunables 0 0 0 : slabdata 4 4 0 ext4_alloc_context 112 112 144 28 1 : tunables 0 0 0 : slabdata 4 4 0 ext4_prealloc_space 156 156 104 39 1 : tunables 0 0 0 : slabdata 4 4 0 ext4_system_zone 0 0 40 102 1 : tunables 0 0 0 : slabdata 0 0 0 ext2_inode_cache 0 0 776 21 4 : tunables 0 0 0 : slabdata 0 0 0 ext3_inode_cache 0 0 784 20 4 : tunables 0 0 0 : slabdata 0 0 0 ext3_xattr 0 0 88 46 1 : tunables 0 0 0 : slabdata 0 0 0 dquot 0 0 256 16 1 : tunables 0 0 0 : slabdata 0 0 0 shmem_inode_cache 606 620 800 20 4 : tunables 0 0 0 : slabdata 31 31 0 pid_namespace 0 0 2112 15 8 : tunables 0 0 0 : slabdata 0 0 0 UDP-Lite 0 0 832 19 4 : tunables 0 0 0 : slabdata 0 0 0 RAW 183 210 768 21 4 : tunables 0 0 0 : slabdata 10 10 0 UDP 76 76 832 19 4 : tunables 0 0 0 : slabdata 4 4 0 tw_sock_TCP 80 80 256 16 1 : tunables 0 0 0 : slabdata 5 5 0 TCP 81 114 1664 19 8 : tunables 0 0 0 : slabdata 6 6 0 blkdev_integrity 144 144 112 36 1 : tunables 0 0 0 : slabdata 4 4 0 blkdev_queue 64 64 2024 16 8 : tunables 0 0 0 : slabdata 4 4 0 blkdev_requests 120 120 336 24 2 : tunables 0 0 0 : slabdata 5 5 0 fsnotify_event 156 156 104 39 1 : tunables 0 0 0 : slabdata 4 4 0 bip-256 7 7 4224 7 8 : tunables 0 0 0 : slabdata 1 1 0 bip-128 0 0 2176 15 8 : tunables 0 0 0 : slabdata 0 0 0 bip-64 0 0 1152 28 8 : tunables 0 0 0 : slabdata 0 0 0 bip-16 84 84 384 21 2 : tunables 0 0 0 : slabdata 4 4 0 sock_inode_cache 224 276 704 23 4 : tunables 0 0 0 : slabdata 12 12 0 file_lock_cache 88 88 184 22 1 : tunables 0 0 0 : slabdata 4 4 0 net_namespace 0 0 1920 17 8 : tunables 0 0 0 : slabdata 0 0 0 Acpi-ParseExt 640 672 72 56 1 : tunables 0 0 0 : slabdata 12 12 0 taskstats 48 48 328 24 2 : tunables 0 0 0 : slabdata 2 2 0 proc_inode_cache 1613 1750 640 25 4 : tunables 0 0 0 : slabdata 70 70 0 sigqueue 100 100 160 25 1 : tunables 0 0 0 : slabdata 4 4 0 radix_tree_node 22443 22475 560 29 4 : tunables 0 0 0 : slabdata 775 775 0 bdev_cache 72 72 896 18 4 : tunables 0 0 0 : slabdata 4 4 0 sysfs_dir_cache 9866 9894 80 51 1 : tunables 0 0 0 : slabdata 194 194 0 inode_cache 2268 2268 592 27 4 : tunables 0 0 0 : slabdata 84 84 0 dentry 285907 286062 192 21 1 : tunables 0 0 0 : slabdata 13622 13622 0 buffer_head 256447 257472 112 36 1 : tunables 0 0 0 : slabdata 7152 7152 0 vm_area_struct 1469 1541 176 23 1 : tunables 0 0 0 : slabdata 67 67 0 mm_struct 82 95 832 19 4 : tunables 0 0 0 : slabdata 5 5 0 files_cache 104 161 704 23 4 : tunables 0 0 0 : slabdata 7 7 0 signal_cache 163 187 960 17 4 : tunables 0 0 0 : slabdata 11 11 0 sighand_cache 145 165 2112 15 8 : tunables 0 0 0 : slabdata 11 11 0 task_xstate 118 140 576 28 4 : tunables 0 0 0 : slabdata 5 5 0 task_struct 128 165 5808 5 8 : tunables 0 0 0 : slabdata 33 33 0 anon_vma 731 896 32 128 1 : tunables 0 0 0 : slabdata 7 7 0 shared_policy_node 85 85 48 85 1 : tunables 0 0 0 : slabdata 1 1 0 numa_policy 170 170 24 170 1 : tunables 0 0 0 : slabdata 1 1 0 idr_layer_cache 240 240 544 30 4 : tunables 0 0 0 : slabdata 8 8 0 kmalloc-8192 27 32 8192 4 8 : tunables 0 0 0 : slabdata 8 8 0 kmalloc-4096 291 344 4096 8 8 : tunables 0 0 0 : slabdata 43 43 0 kmalloc-2048 225 240 2048 16 8 : tunables 0 0 0 : slabdata 15 15 0 kmalloc-1024 366 432 1024 16 4 : tunables 0 0 0 : slabdata 27 27 0 kmalloc-512 536 544 512 16 2 : tunables 0 0 0 : slabdata 34 34 0 kmalloc-256 406 528 256 16 1 : tunables 0 0 0 : slabdata 33 33 0 kmalloc-128 503 576 128 32 1 : tunables 0 0 0 : slabdata 18 18 0 kmalloc-64 3467 3712 64 64 1 : tunables 0 0 0 : slabdata 58 58 0 kmalloc-32 1520 1920 32 128 1 : tunables 0 0 0 : slabdata 15 15 0 kmalloc-16 3547 3840 16 256 1 : tunables 0 0 0 : slabdata 15 15 0 kmalloc-8 4607 4608 8 512 1 : tunables 0 0 0 : slabdata 9 9 0 kmalloc-192 4620 5313 192 21 1 : tunables 0 0 0 : slabdata 253 253 0 kmalloc-96 1780 1848 96 42 1 : tunables 0 0 0 : slabdata 44 44 0 kmem_cache_node 0 0 64 64 1 : tunables 0 0 0 : slabdata 0 0 0

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  • Error on `gksu nautilus` because Nautilus cannot create folder "/root/.config/nautilus"

    - by luciehn
    I have a problem executing nautilus in root mode on a fresh installation. I just installed Ubuntu 12.04, and the first thing I did after first boot was run the command gksudo nautilus, I've got this error message: Nautilus could not create the required folder "/root/.config/nautilus". Before running Nautilus, please create the following folder, or set permissions such that Nautilus can create it. I am triple booting Windows 7, Fedora 17 and Ubuntu 12.04. My partition configuration is this: sda1 --> (ntfs) Windows 7 boot partition sda2 --> (ntfs) Windows 7 sda3 --> (ext4) Fedora 17 /boot partition sda4 --> Extended partition sda5 --> LVM Fedora 17, with 3 partitions inside (/, /home and swap) sda6 --> (ext4) Ubuntu 12.04 /boot partition sda7 --> (ext4) Ubuntu 12.04 swap partition sda8 --> (ext4) Ubuntu 12.04 / partition sda9 --> (ext4) Ubuntu 12.04 /home partition The MBR is using Windows, so is this one which is controlling the machine boot menu. Looks like Nautilus does not have permission to write in /root/.config, but it should right? I prefer asking before doing nothing wrong. Any ideas?

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