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• cannot access a site from Mac OSX Lion but can from other machines on network?

  - by house9

  SOLVED: The issue is with the hamachi client, hamachi is hi-jacking all of the 5.0.0.0/8 address block http://en.wikipedia.org/wiki/Hamachi_(software)#Criticism http://b.logme.in/2012/11/07/changes-to-hamachi-on-november-19th/ The fix on Mac LogMeIn Hamachi Preferences Settings Advanced Peer Connections IP protocol mode IPv6 only (default is both) If you can only connect to some of your network over IPv4 this 'fix' will NOT work for you ----- A few weeks ago I started using a service - https://semaphoreapp.com I think they made DNS changes a week ago and ever since I cannot access the site from my Mac OSX Lion (10.7.4) machine (my main development machine) but I can access the site from other machines on my network ipad windows machine MacMini (10.6.8) After some google searching I tried both of these dscacheutil -flushcache sudo killall -HUP mDNSResponder but no go, I've contacted semaphoreapp as well, but nothing so far - also of interest, one of my colleagues has the exact same problem, cannot access via Mac OSX Lion but can via windows machine, we work remotely and are not on the same ISP some additional info Lion (10.7.4) cannot access site host semaphoreapp.com semaphoreapp.com has address 5.9.53.16 ping semaphoreapp.com PING semaphoreapp.com (5.9.53.16): 56 data bytes Request timeout for icmp_seq 0 Request timeout for icmp_seq 1 Request timeout for icmp_seq 2 Request timeout for icmp_seq 3 ping: sendto: No route to host Request timeout for icmp_seq 4 ping: sendto: Host is down Request timeout for icmp_seq 5 ping: sendto: Host is down Request timeout for icmp_seq 6 ping: sendto: Host is down Request timeout for icmp_seq 7 .... traceroute semaphoreapp.com traceroute to semaphoreapp.com (5.9.53.16), 64 hops max, 52 byte packets 1 * * * 2 * * * traceroute: sendto: No route to host 3 traceroute: wrote semaphoreapp.com 52 chars, ret=-1 *traceroute: sendto: Host is down traceroute: wrote semaphoreapp.com 52 chars, ret=-1 .... and MacMini (10.6.8) can access it host semaphoreapp.com semaphoreapp.com has address 5.9.53.16 ping semaphoreapp.com PING semaphoreapp.com (5.9.53.16): 56 data bytes 64 bytes from 5.9.53.16: icmp_seq=0 ttl=44 time=191.458 ms 64 bytes from 5.9.53.16: icmp_seq=1 ttl=44 time=202.923 ms 64 bytes from 5.9.53.16: icmp_seq=2 ttl=44 time=180.746 ms 64 bytes from 5.9.53.16: icmp_seq=3 ttl=44 time=200.616 ms 64 bytes from 5.9.53.16: icmp_seq=4 ttl=44 time=178.818 ms .... traceroute semaphoreapp.com traceroute to semaphoreapp.com (5.9.53.16), 64 hops max, 52 byte packets 1 192.168.0.1 (192.168.0.1) 1.677 ms 1.446 ms 1.445 ms 2 * LOCAL ISP 11.957 ms * 3 etc... 10.704 ms 14.183 ms 9.341 ms 4 etc... 32.641 ms 12.147 ms 10.850 ms 5 etc.... 44.205 ms 54.563 ms 36.243 ms 6 vlan139.car1.seattle1.level3.net (4.53.145.165) 50.136 ms 45.873 ms 30.396 ms 7 ae-32-52.ebr2.seattle1.level3.net (4.69.147.182) 31.926 ms 40.507 ms 49.993 ms 8 ae-2-2.ebr2.denver1.level3.net (4.69.132.54) 78.129 ms 59.674 ms 49.905 ms 9 ae-3-3.ebr1.chicago2.level3.net (4.69.132.62) 99.019 ms 82.008 ms 76.074 ms 10 ae-1-100.ebr2.chicago2.level3.net (4.69.132.114) 96.185 ms 75.658 ms 75.662 ms 11 ae-6-6.ebr2.washington12.level3.net (4.69.148.145) 104.322 ms 105.563 ms 118.480 ms 12 ae-5-5.ebr2.washington1.level3.net (4.69.143.221) 93.646 ms 99.423 ms 96.067 ms 13 ae-41-41.ebr2.paris1.level3.net (4.69.137.49) 177.744 ms ae-44-44.ebr2.paris1.level3.net (4.69.137.61) 199.363 ms 198.405 ms 14 ae-47-47.ebr1.frankfurt1.level3.net (4.69.143.141) 176.876 ms ae-45-45.ebr1.frankfurt1.level3.net (4.69.143.133) 170.994 ms ae-46-46.ebr1.frankfurt1.level3.net (4.69.143.137) 177.308 ms 15 ae-61-61.csw1.frankfurt1.level3.net (4.69.140.2) 176.769 ms ae-91-91.csw4.frankfurt1.level3.net (4.69.140.14) 178.676 ms 173.644 ms 16 ae-2-70.edge7.frankfurt1.level3.net (4.69.154.75) 180.407 ms ae-3-80.edge7.frankfurt1.level3.net (4.69.154.139) 174.861 ms 176.578 ms 17 as33891-net.edge7.frankfurt1.level3.net (195.16.162.94) 175.448 ms 185.658 ms 177.081 ms 18 hos-bb1.juniper4.rz16.hetzner.de (213.239.240.202) 188.700 ms 190.332 ms 188.196 ms 19 hos-tr4.ex3k14.rz16.hetzner.de (213.239.233.98) 199.632 ms hos-tr3.ex3k14.rz16.hetzner.de (213.239.233.66) 185.938 ms hos-tr2.ex3k14.rz16.hetzner.de (213.239.230.34) 182.378 ms 20 * * * 21 * * * 22 * * * any ideas? EDIT: adding tcpdump MacMini (which can connect) while running - ping semaphoreapp.com sudo tcpdump -v -i en0 dst semaphoreapp.com Password: tcpdump: listening on en0, link-type EN10MB (Ethernet), capture size 65535 bytes 17:33:03.337165 IP (tos 0x0, ttl 64, id 20153, offset 0, flags [none], proto ICMP (1), length 84, bad cksum 0 (->3129)!) 192.168.0.6 > static.16.53.9.5.clients.your-server.de: ICMP echo request, id 61918, seq 0, length 64 17:33:04.337279 IP (tos 0x0, ttl 64, id 26049, offset 0, flags [none], proto ICMP (1), length 84, bad cksum 0 (->1a21)!) 192.168.0.6 > static.16.53.9.5.clients.your-server.de: ICMP echo request, id 61918, seq 1, length 64 17:33:05.337425 IP (tos 0x0, ttl 64, id 47854, offset 0, flags [none], proto ICMP (1), length 84, bad cksum 0 (->c4f3)!) 192.168.0.6 > static.16.53.9.5.clients.your-server.de: ICMP echo request, id 61918, seq 2, length 64 17:33:06.337548 IP (tos 0x0, ttl 64, id 24772, offset 0, flags [none], proto ICMP (1), length 84, bad cksum 0 (->1f1e)!) 192.168.0.6 > static.16.53.9.5.clients.your-server.de: ICMP echo request, id 61918, seq 3, length 64 17:33:07.337670 IP (tos 0x0, ttl 64, id 8171, offset 0, flags [none], proto ICMP (1), length 84, bad cksum 0 (->5ff7)!) 192.168.0.6 > static.16.53.9.5.clients.your-server.de: ICMP echo request, id 61918, seq 4, length 64 17:33:08.337816 IP (tos 0x0, ttl 64, id 35810, offset 0, flags [none], proto ICMP (1), length 84, bad cksum 0 (->f3ff)!) 192.168.0.6 > static.16.53.9.5.clients.your-server.de: ICMP echo request, id 61918, seq 5, length 64 17:33:09.337948 IP (tos 0x0, ttl 64, id 31120, offset 0, flags [none], proto ICMP (1), length 84, bad cksum 0 (->652)!) 192.168.0.6 > static.16.53.9.5.clients.your-server.de: ICMP echo request, id 61918, seq 6, length 64 ^C 7 packets captured 1047 packets received by filter 0 packets dropped by kernel OSX Lion (cannot connect) while running - ping semaphoreapp.com # wireless ~ $ sudo tcpdump -v -i en1 dst semaphoreapp.com Password: tcpdump: listening on en1, link-type EN10MB (Ethernet), capture size 65535 bytes ^C 0 packets captured 262 packets received by filter 0 packets dropped by kernel and # wired ~ $ sudo tcpdump -v -i en0 dst semaphoreapp.com tcpdump: listening on en0, link-type EN10MB (Ethernet), capture size 65535 bytes ^C 0 packets captured 219 packets received by filter 0 packets dropped by kernel above output after Request timeout for icmp_seq 25 or 30 times from ping. I don't know much about tcpdump, but to me it doesn't seem like the ping requests are leaving my machine?

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• Solving embarassingly parallel problems using Python multiprocessing

  - by gotgenes

  How does one use multiprocessing to tackle embarrassingly parallel problems? Embarassingly parallel problems typically consist of three basic parts: Read input data (from a file, database, tcp connection, etc.). Run calculations on the input data, where each calculation is independent of any other calculation. Write results of calculations (to a file, database, tcp connection, etc.). We can parallelize the program in two dimensions: Part 2 can run on multiple cores, since each calculation is independent; order of processing doesn't matter. Each part can run independently. Part 1 can place data on an input queue, part 2 can pull data off the input queue and put results onto an output queue, and part 3 can pull results off the output queue and write them out. This seems a most basic pattern in concurrent programming, but I am still lost in trying to solve it, so let's write a canonical example to illustrate how this is done using multiprocessing. Here is the example problem: Given a CSV file with rows of integers as input, compute their sums. Separate the problem into three parts, which can all run in parallel: Process the input file into raw data (lists/iterables of integers) Calculate the sums of the data, in parallel Output the sums Below is traditional, single-process bound Python program which solves these three tasks: #!/usr/bin/env python # -*- coding: UTF-8 -*- # basicsums.py """A program that reads integer values from a CSV file and writes out their sums to another CSV file. """ import csv import optparse import sys def make_cli_parser(): """Make the command line interface parser.""" usage = "\n\n".join(["python %prog INPUT_CSV OUTPUT_CSV", __doc__, """ ARGUMENTS: INPUT_CSV: an input CSV file with rows of numbers OUTPUT_CSV: an output file that will contain the sums\ """]) cli_parser = optparse.OptionParser(usage) return cli_parser def parse_input_csv(csvfile): """Parses the input CSV and yields tuples with the index of the row as the first element, and the integers of the row as the second element. The index is zero-index based. :Parameters: - `csvfile`: a `csv.reader` instance """ for i, row in enumerate(csvfile): row = [int(entry) for entry in row] yield i, row def sum_rows(rows): """Yields a tuple with the index of each input list of integers as the first element, and the sum of the list of integers as the second element. The index is zero-index based. :Parameters: - `rows`: an iterable of tuples, with the index of the original row as the first element, and a list of integers as the second element """ for i, row in rows: yield i, sum(row) def write_results(csvfile, results): """Writes a series of results to an outfile, where the first column is the index of the original row of data, and the second column is the result of the calculation. The index is zero-index based. :Parameters: - `csvfile`: a `csv.writer` instance to which to write results - `results`: an iterable of tuples, with the index (zero-based) of the original row as the first element, and the calculated result from that row as the second element """ for result_row in results: csvfile.writerow(result_row) def main(argv): cli_parser = make_cli_parser() opts, args = cli_parser.parse_args(argv) if len(args) != 2: cli_parser.error("Please provide an input file and output file.") infile = open(args[0]) in_csvfile = csv.reader(infile) outfile = open(args[1], 'w') out_csvfile = csv.writer(outfile) # gets an iterable of rows that's not yet evaluated input_rows = parse_input_csv(in_csvfile) # sends the rows iterable to sum_rows() for results iterable, but # still not evaluated result_rows = sum_rows(input_rows) # finally evaluation takes place as a chain in write_results() write_results(out_csvfile, result_rows) infile.close() outfile.close() if __name__ == '__main__': main(sys.argv[1:]) Let's take this program and rewrite it to use multiprocessing to parallelize the three parts outlined above. Below is a skeleton of this new, parallelized program, that needs to be fleshed out to address the parts in the comments: #!/usr/bin/env python # -*- coding: UTF-8 -*- # multiproc_sums.py """A program that reads integer values from a CSV file and writes out their sums to another CSV file, using multiple processes if desired. """ import csv import multiprocessing import optparse import sys NUM_PROCS = multiprocessing.cpu_count() def make_cli_parser(): """Make the command line interface parser.""" usage = "\n\n".join(["python %prog INPUT_CSV OUTPUT_CSV", __doc__, """ ARGUMENTS: INPUT_CSV: an input CSV file with rows of numbers OUTPUT_CSV: an output file that will contain the sums\ """]) cli_parser = optparse.OptionParser(usage) cli_parser.add_option('-n', '--numprocs', type='int', default=NUM_PROCS, help="Number of processes to launch [DEFAULT: %default]") return cli_parser def main(argv): cli_parser = make_cli_parser() opts, args = cli_parser.parse_args(argv) if len(args) != 2: cli_parser.error("Please provide an input file and output file.") infile = open(args[0]) in_csvfile = csv.reader(infile) outfile = open(args[1], 'w') out_csvfile = csv.writer(outfile) # Parse the input file and add the parsed data to a queue for # processing, possibly chunking to decrease communication between # processes. # Process the parsed data as soon as any (chunks) appear on the # queue, using as many processes as allotted by the user # (opts.numprocs); place results on a queue for output. # # Terminate processes when the parser stops putting data in the # input queue. # Write the results to disk as soon as they appear on the output # queue. # Ensure all child processes have terminated. # Clean up files. infile.close() outfile.close() if __name__ == '__main__': main(sys.argv[1:]) These pieces of code, as well as another piece of code that can generate example CSV files for testing purposes, can be found on github. I would appreciate any insight here as to how you concurrency gurus would approach this problem. Here are some questions I had when thinking about this problem. Bonus points for addressing any/all: Should I have child processes for reading in the data and placing it into the queue, or can the main process do this without blocking until all input is read? Likewise, should I have a child process for writing the results out from the processed queue, or can the main process do this without having to wait for all the results? Should I use a processes pool for the sum operations? If yes, what method do I call on the pool to get it to start processing the results coming into the input queue, without blocking the input and output processes, too? apply_async()? map_async()? imap()? imap_unordered()? Suppose we didn't need to siphon off the input and output queues as data entered them, but could wait until all input was parsed and all results were calculated (e.g., because we know all the input and output will fit in system memory). Should we change the algorithm in any way (e.g., not run any processes concurrently with I/O)?

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• TcpListener is queuing connections faster than I can clear them

  - by Matthew Brindley

  As I understand it, TcpListener will queue connections once you call Start(). Each time you call AcceptTcpClient (or BeginAcceptTcpClient), it will dequeue one item from the queue. If we load test our TcpListener app by sending 1,000 connections to it at once, the queue builds far faster than we can clear it, leading (eventually) to timeouts from the client because it didn't get a response because its connection was still in the queue. However, the server doesn't appear to be under much pressure, our app isn't consuming much CPU time and the other monitored resources on the machine aren't breaking a sweat. It feels like we're not running efficiently enough right now. We're calling BeginAcceptTcpListener and then immediately handing over to a ThreadPool thread to actually do the work, then calling BeginAcceptTcpClient again. The work involved doesn't seem to put any pressure on the machine, it's basically just a 3 second sleep followed by a dictionary lookup and then a 100 byte write to the TcpClient's stream. Here's the TcpListener code we're using: // Thread signal. private static ManualResetEvent tcpClientConnected = new ManualResetEvent(false); public void DoBeginAcceptTcpClient(TcpListener listener) { // Set the event to nonsignaled state. tcpClientConnected.Reset(); listener.BeginAcceptTcpClient( new AsyncCallback(DoAcceptTcpClientCallback), listener); // Wait for signal tcpClientConnected.WaitOne(); } public void DoAcceptTcpClientCallback(IAsyncResult ar) { // Get the listener that handles the client request, and the TcpClient TcpListener listener = (TcpListener)ar.AsyncState; TcpClient client = listener.EndAcceptTcpClient(ar); if (inProduction) ThreadPool.QueueUserWorkItem(state => HandleTcpRequest(client, serverCertificate)); // With SSL else ThreadPool.QueueUserWorkItem(state => HandleTcpRequest(client)); // Without SSL // Signal the calling thread to continue. tcpClientConnected.Set(); } public void Start() { currentHandledRequests = 0; tcpListener = new TcpListener(IPAddress.Any, 10000); try { tcpListener.Start(); while (true) DoBeginAcceptTcpClient(tcpListener); } catch (SocketException) { // The TcpListener is shutting down, exit gracefully CheckBuffer(); return; } } I'm assuming the answer will be related to using Sockets instead of TcpListener, or at least using TcpListener.AcceptSocket, but I wondered how we'd go about doing that? One idea we had was to call AcceptTcpClient and immediately Enqueue the TcpClient into one of multiple Queue<TcpClient> objects. That way, we could poll those queues on separate threads (one queue per thread), without running into monitors that might block the thread while waiting for other Dequeue operations. Each queue thread could then use ThreadPool.QueueUserWorkItem to have the work done in a ThreadPool thread and then move onto dequeuing the next TcpClient in its queue. Would you recommend this approach, or is our problem that we're using TcpListener and no amount of rapid dequeueing is going to fix that?

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• [MQ] How to check which point is cause of problem

  - by Fuangwith S.

  Hello everybody, I use MQ for send/receive message between my system and other system. Sometime I found that no response message in response queue, yet other system have already put response message into response queue (check from log). So, how to check which point is cause of problem, how to prove message is not arrive to my response queue. In addition, when message arrive my queue it will be written to log file. Thanks

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• How to check which point is cause of problem with MQ?

  - by Fuangwith S.

  I use MQ for send/receive message between my system and other system. Sometime I found that no response message in response queue, yet other system have already put response message into response queue (check from log). So, how to check which point is cause of problem, how to prove message is not arrive to my response queue. In addition, when message arrive my queue it will be written to log file.

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• How can I connect to MSMQ over a workgroup?

  - by cyclotis04

  I'm writing a simple console client-server app using MSMQ. I'm attempting to run it over the workgroup we have set up. They run just fine when run on the same computer, but I can't get them to connect over the network. I've tried adding Direct=, OS:, and a bunch of combinations of other prefaces, but I'm running out of ideas, and obviously don't know the right way to do it. My queue's don't have GUIDs, which is also slightly confusing. Whenever I attempt to connect to a remote machine, I get an invalid queue name message. What do I have to do to make this work? Server: class Program { static string _queue = @"\Private$\qim"; static MessageQueue _mq; static readonly object _mqLock = new object(); static void Main(string[] args) { _queue = Dns.GetHostName() + _queue; lock (_mqLock) { if (!MessageQueue.Exists(_queue)) _mq = MessageQueue.Create(_queue); else _mq = new MessageQueue(_queue); } Console.Write("Starting server at {0}:\n\n", _mq.Path); _mq.Formatter = new BinaryMessageFormatter(); _mq.BeginReceive(new TimeSpan(0, 1, 0), new object(), OnReceive); while (Console.ReadKey().Key != ConsoleKey.Escape) { } _mq.Close(); } static void OnReceive(IAsyncResult result) { Message msg; lock (_mqLock) { try { msg = _mq.EndReceive(result); Console.Write(msg.Body); } catch (Exception ex) { Console.Write("\n" + ex.Message + "\n"); } } _mq.BeginReceive(new TimeSpan(0, 1, 0), new object(), OnReceive); } } Client: class Program { static MessageQueue _mq; static void Main(string[] args) { string queue; while (_mq == null) { Console.Write("Enter the queue name:\n"); queue = Console.ReadLine(); //queue += @"\Private$\qim"; try { if (MessageQueue.Exists(queue)) _mq = new MessageQueue(queue); } catch (Exception ex) { Console.Write("\n" + ex.Message + "\n"); _mq = null; } } Console.Write("Connected. Begin typing.\n\n"); _mq.Formatter = new BinaryMessageFormatter(); ConsoleKeyInfo key = new ConsoleKeyInfo(); while (key.Key != ConsoleKey.Escape) { key = Console.ReadKey(); _mq.Send(key.KeyChar.ToString()); } } }

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• Seg Fault with malloc'd pointers

  - by anon

  I'm making a thread class to use as a wrapper for pthreads. I have a Queue class to use as a queue, but I'm having trouble with it. It seems to allocate and fill the queue struct fine, but when I try to get the data from it, it Seg. faults. http://pastebin.com/Bquqzxt0 (the printf's are for debugging, both throw seg faults) edit: the queue is stored in a dynamically allocated "struct queueset" array as a pointer to the data and an index for the data

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• Audio decoding delay when changing the audio language

  - by mahendiran.b

  My gstreamer Pipeline is like this Approach1 --------------input-selector->Queue->AduioParser->AudioSink | Souphttpsrc->tsdemux-->| | --------------- Queue->videoParser->videoSink In this approach 1, there is a delay in audio decoding when I toggle between various audio language. Approach2 ------ input-selector-> Queue->AduioParser->AudioSink | Souphttpsrc->tsdemux---multiqueue>| | ------- Queue->videoParser->VideoSink But there is no delay is observed in approach2. Can anyone please explain the reason behind this ? what is the specialty of multiqueue here?

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• jQuery memory game: if $('.opened').length; == number run function.

  - by Carl Papworth

  So I'm trying to change the a.heart when there is td.opened == 24. I'm not sure what's going wrong though since nothings happening. HTML: <body> <header> <div id="headerTitle"><a href="index.html">&lt;html<span class="heart">&hearts;</span>ve&gt;</a> </div> <div id="help"> <h2>?</h2> <div id="helpInfo"> <p>How many tiles are there? Let's see [calculating] 25...</p> </div> </div> </header> <div id="reward"> <div id="rewardContainer"> <div id="rewardBG" class="heart">&hearts; </div> <p>OMG, this must be luv<br><a href="index.html" class="exit">x</a></p> </div> </div> <div id="pageWrap"> <div id="mainContent"> <!-- DON'T BE A CHEATER !--> <table id="memory"> <tr> <td class="pair1"><a>&Psi;</a></td> <td class="pair2"><a>&para;</a></td> <td class="pair3"><a>&Xi;</a></td> <td class="pair1"><a>&Psi;</a></td> <td class="pair4"><a >&otimes;</a></td> </tr> <tr> <td class="pair5"><a>&spades;</a></td> <td class="pair6"><a >&Phi;</a></td> <td class="pair7"><a>&sect;</a></td> <td class="pair8"><a>&clubs;</a></td> <td class="pair4"><a>&otimes;</a></td> </tr> <tr> <td class="pair9"><a>&Omega;</a></td> <td class="pair2"><a>&para;</a></td> <td id="goal"> <a href="#reward" class="heart">&hearts;</a> </td> <td class="pair10"><a>&copy;</a></td> <td class="pair9"><a>&Omega;</a></td> </tr> <tr> <td class="pair11"><a>&there4;</a></td> <td class="pair8"><a>&clubs;</a></td> <td class="pair12"><a>&dagger;</a></td> <td class="pair6"><a>&Phi;</a></td> <td class="pair11"><a>&there4;</a></td> </tr> <tr> <td><a class="pair12">&dagger;</a></td> <td><a class="pair5">&spades;</a></td> <td><a class="pair10">&copy;</a></td> <td><a class="pair3">&Xi;</a></td> <td><a class="pair7">&sect;</a></td> </tr> </table> <!-- DON'T BE A CHEATER !--> </div> </div> <!-- END Page Wrap --> <footer> <div class="heartCollection"> <p>collect us if u need luv:<p> <ul> <li><a id="collection1">&hearts;</a></li> <li><a id="collection2">&hearts;</a></li> <li><a id="collection3">&hearts;</a></li> <li><a id="collection4">&hearts;</a></li> <li><a id="collection5">&hearts;</a></li> <li><a id="collection6">&hearts;</a></li> </ul> </div> <div class="credits">with love from Popm0uth ©2012</div> </footer> </body> </html> Javascript: var thisCard = $(this).text(); var activeCard = $('.active').text(); var openedCards = $('.opened').length; $(document).ready(function() { $('a.heart').css('color', '#CCCCCC'); $('a.heart').off('click'); function reset(){ $('td').removeClass('opened'); $('a').removeClass('visible'); $('td').removeClass('active'); }; $('td').click(openCard); function openCard(){ $(this).addClass('opened'); $(this).find('a').addClass('visible'); if ($(".active")[0]){ if ($(this).text() != $('.active').text()) { setTimeout(function(){ reset(); }, 1000); } else { $('.active').removeClass('active'); } } else { $(this).addClass("active"); } if (openedCards == 24){ $(".active").removeClass("active"); $("a.heart").css('color', '#ff63ff'); $("a.heart").off('click'); } } });

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• jquery dynamic form plugin: adding nested field support

  - by goliatone

  Hi, Im using the jQuery dynamic form plugin, but i need support for nested field duplication. I would like some advice on how to modify the plugin to add such functionality. Im not a javascript/jQuery developer, so any advice on which route to take will be much appreciated. I can provide the plugin's code: /** * @author Stephane Roucheray * @extends jQuery */ jQuery.fn.dynamicForm = function (plusElmnt, minusElmnt, options){ var source = jQuery(this), minus = jQuery(minusElmnt), plus = jQuery(plusElmnt), template = source.clone(true), fieldId = 0, formFields = "input, checkbox, select, textarea", insertBefore = source.next(), clones = [], defaults = { duration:1000 }; // Extend default options with those provided options = $.extend(defaults, options); isPlusDescendentOfTemplate = source.find("*").filter(function(){ return this == plus.get(0); }); isPlusDescendentOfTemplate = isPlusDescendentOfTemplate.length > 0 ? true : false; function normalizeElmnt(elmnt){ elmnt.find(formFields).each(function(){ var nameAttr = jQuery(this).attr("name"), idAttr = jQuery(this).attr("id"); /* Normalize field name attributes */ if (!nameAttr) { jQuery(this).attr("name", "field" + fieldId + "[]"); } if (!/\[\]$/.exec(nameAttr)) { jQuery(this).attr("name", nameAttr + "[]"); } /* Normalize field id attributes */ if (idAttr) { /* Normalize attached label */ jQuery("label[for='"+idAttr+"']").each(function(){ jQuery(this).attr("for", idAttr + fieldId); }); jQuery(this).attr("id", idAttr + fieldId); } fieldId++; }); }; /* Hide minus element */ minus.hide(); /* If plus element is within the template */ if (isPlusDescendentOfTemplate) { function clickOnPlus(event){ var clone, currentClone = clones[clones.length -1] || source; event.preventDefault(); /* On first add, normalize source */ if (clones.length == 0) { normalizeElmnt(source); currentClone.find(minusElmnt).hide(); currentClone.find(plusElmnt).hide(); }else{ currentClone.find(plusElmnt).hide(); } /* Clone template and normalize it */ clone = template.clone(true).insertAfter(clones[clones.length - 1] || source); normalizeElmnt(clone); /* Normalize template id attribute */ if (clone.attr("id")) { clone.attr("id", clone.attr("id") + clones.length); } plus = clone.find(plusElmnt); minus = clone.find(minusElmnt); minus.get(0).removableClone = clone; minus.click(clickOnMinus); plus.click(clickOnPlus); if (options.limit && (options.limit - 2) > clones.length) { plus.show(); }else{ plus.hide(); } clones.push(clone); } function clickOnMinus(event){ event.preventDefault(); if (this.removableClone.effect && options.removeColor) { that = this; this.removableClone.effect("highlight", { color: options.removeColor }, options.duration, function(){that.removableClone.remove();}); } else { this.removableClone.remove(); } clones.splice(clones.indexOf(this.removableClone),1); if (clones.length == 0){ source.find(plusElmnt).show(); }else{ clones[clones.length -1].find(plusElmnt).show(); } } /* Handle click on plus */ plus.click(clickOnPlus); /* Handle click on minus */ minus.click(function(event){ }); }else{ /* If plus element is out of the template */ /* Handle click on plus */ plus.click(function(event){ var clone; event.preventDefault(); /* On first add, normalize source */ if (clones.length == 0) { normalizeElmnt(source); jQuery(minusElmnt).show(); } /* Clone template and normalize it */ clone = template.clone(true).insertAfter(clones[clones.length - 1] || source); if (clone.effect && options.createColor) { clone.effect("highlight", {color:options.createColor}, options.duration); } normalizeElmnt(clone); /* Normalize template id attribute */ if (clone.attr("id")) { clone.attr("id", clone.attr("id") + clones.length); } if (options.limit && (options.limit - 3) < clones.length) { plus.hide(); } clones.push(clone); }); /* Handle click on minus */ minus.click(function(event){ event.preventDefault(); var clone = clones.pop(); if (clones.length >= 0) { if (clone.effect && options.removeColor) { that = this; clone.effect("highlight", { color: options.removeColor, mode:"hide" }, options.duration, function(){clone.remove();}); } else { clone.remove(); } } if (clones.length == 0) { jQuery(minusElmnt).hide(); } plus.show(); }); } };

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• How can I export images from MS SQL Server to a file on disk?

  - by rball

  I have a User table that has all of their avatars saved in an image field. I'd like to just take that out of the database and store it as a regular file on disk. I looked around and saw some code for textcopy, but that doesn't seem to be on my machine for some reason. Here is the code I wrote up anyway. Anyone know a way to get this done? DECLARE @exec_str varchar (255) SELECT @exec_str = 'textcopy /S (local)\SQLEXPRESS' + --' /U ' + @login + --' /P ' + @password + ' /D thedatabase' + ' /T User'+ ' /C AvatarImage' + ' /F "d:\Avatars\' + User.Name + '.jpg"' + ' /O' FROM [User] WHERE UserID = 2 EXEC master..xp_cmdshell @exec_str

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• Can I get Raid disk status by using PS?

  - by David.Chu.ca

  I have a HP server with Raid 5. Port 0 and 1 are used for data & OS mirroring. The software come with the Raid 5 is Intel Matrix Storage Manager and there is manager console as windows based api to view all the ports, including their status. Now they are all in Normal status. I am not sure if the OS/Windows has some APIs or .Net classes to access raid ports and get their status? If so, how can I use PS to get the information? Do I have to reference to the dlls provided by the Intel Matrix Storage Manager if not? Basically, I would like to write a PS script to get read status. In case any of port disk is not normal, a message will be sent out by growl protocol.

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• question about merge algorithm

  - by davit-datuashvili

  hi i have question i know that this question is somehow nonsense but let see i have code to merge two sorted array in a one sorted array here is code in java public class Merge { public static void main(String[]args){ int a[]=new int[]{7,14,23,30,35,40}; int b[]=new int[]{5,8,9,11,50,67,81}; int c[]=new int[a.length+b.length]; int al=0; int bl=0; int cl=0; while (al<a.length && bl<b.length) if (a[al]<b[bl]) c[cl++]=a[al++]; else c[cl++]=b[bl++]; while (al<a.length) c[cl++]=a[al++]; while (bl<b.length) c[cl++]=b[bl++]; for (int j=0;j<c.length;j++){ System.out.println(c[j]); } } } question is why does not work if we write here {} brackets while (al } ?

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• How can I export images from SQL Server to a file on disk?

  - by rball

  I have a User table that has all of their avatars saved in an image field. I'd like to just take that out of the database and store it as a regular file on disk. I looked around and saw some code for textcopy, but that doesn't seem to be on my machine for some reason. Here is the code I wrote up anyway. Anyone know a way to get this done? DECLARE @exec_str varchar (255) SELECT @exec_str = 'textcopy /S (local)\SQLEXPRESS' + --' /U ' + @login + --' /P ' + @password + ' /D thedatabase' + ' /T User'+ ' /C AvatarImage' + ' /F "d:\Avatars\' + User.Name + '.jpg"' + ' /O' FROM [User] WHERE UserID = 2 EXEC master..xp_cmdshell @exec_str

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• How to sanely read and dump structs to disk when some fields are pointers?

  - by bp

  Hello, I'm writing a FUSE plugin in C. I'm keeping track of data structures in the filesystem through structs like: typedef struct { block_number_t inode; filename_t filename; //char[SOME_SIZE] some_other_field_t other_field; } fs_directory_table_item_t; Obviously, I have to read (write) these structs from (to) disk at some point. I could treat the struct as a sequence of bytes and do something like this: read(disk_fd, directory_table_item, sizeof(fs_directory_table_item_t)); ...except that cannot possibly work as filename is actually a pointer to the char array. I'd really like to avoid having to write code like: read(disk_df, *directory_table_item.inode, sizeof(block_number_t)); read(disk_df, directory_table_item.filename, sizeof(filename_t)); read(disk_df, *directory_table_item.other_field, sizeof(some_other_field_t)); ...for each struct in the code, because I'd have to replicate code and changes in no less than three different places (definition, reading, writing). Any DRYer but still maintainable ideas?

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• Import module stored in a cStringIO data structure vs. physical disk file

  - by Malcolm

  Is there a way to import a Python module stored in a cStringIO data structure vs. physical disk file? It looks like "imp.load_compiled(name, pathname[, file])" is what I need, but the description of this method (and similar methods) has the following disclaimer: Quote: "The file argument is the byte-compiled code file, open for reading in binary mode, from the beginning. It must currently be a real file object, not a user-defined class emulating a file." [1] I tried using a cStringIO object vs. a real file object, but the help documentation is correct - only a real file object can be used. Any ideas on why these modules would impose such a restriction or is this just an historical artifact? Are there any techniques I can use to avoid this physical file requirement? Thanks, Malcolm [1] http://docs.python.org/library/imp.html#imp.load_module

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• All things equal what is the fastest way to output data to disk in C++?

  - by user260197

  I am running simulation code that is largely bound by CPU speed. I am not interested in pushing data in/out to a user interface, simply saving it to disk as it is computed. What would be the fastest solution that would reduce overhead? iostreams? printf? I have previously read that printf is faster. Will this depend on my code and is it impossible to get an answer without profiling? Edit: Output data needs to be in text format, whether tab or comma separated. This will require formatting, precision, etc. Running in Windows.

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• Beginning with Datampper, Association question

  - by Ian

  I'm just diving into Datamapper (and Sinatra) and have a question about associations. Below are some models I have. This is what I want to implemented. I'm having an issue with Workoutitems and Workout. Workout will be managed separately, but Workoutitems has a single workout associated with each row. Workout - just a list of types of workouts (run, lift, situps, etc) Selected workout - this is the name of a set of workouts, along with notes by the user and trainer. It has a collection of N workoutitems Workoutitems - this takes a workout and a number of repetitions to it that go in the workout set. class Workout include DataMapper::Resource property :id, Serial #PK id property :name, String, :length=50,:required=true # workout name property :description, String, :length=255 #workout description end class Selectedworkout include DataMapper::Resource property :id, Serial property :name, String, :length=50, :required=true property :workout_time, String, :length=20 property :user_notes, String, :length=255 property :coach_notes, String, :length=255 has n, :workoutitems end class Workoutitem include DataMapper::Resource property :id, Serial property :reps, String, :length=50, :required=true belongs_to :selectedworkout end

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• [MS Access 2003 SQL] Switch is causing #error, why and how can I fix it...

  - by Chris

  I have 3 fields in my table: start, end (dates) and length (number, might be blank). My Aim is to calculate an end date using start and length where end doesn't exist... I have: SELECT Switch((g.length<>0) And IsDate(g.end),DateAdd("m",g.length,g.start)) AS field FROM table g If there is no start, end or length, Access displays blank - this is fine. If there is no end, but start and length are ok, the calculated date is shown - again fine. BUT If there is no end, or length, but a start exists, access displays #Error I don't understand why, and can't fix it, please help!

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• I see no LOBs!

  - by Paul White

  Is it possible to see LOB (large object) logical reads from STATISTICS IO output on a table with no LOB columns? I was asked this question today by someone who had spent a good fraction of their afternoon trying to work out why this was occurring – even going so far as to re-run DBCC CHECKDB to see if any corruption had taken place.  The table in question wasn’t particularly pretty – it had grown somewhat organically over time, with new columns being added every so often as the need arose.  Nevertheless, it remained a simple structure with no LOB columns – no TEXT or IMAGE, no XML, no MAX types – nothing aside from ordinary INT, MONEY, VARCHAR, and DATETIME types.  To add to the air of mystery, not every query that ran against the table would report LOB logical reads – just sometimes – but when it did, the query often took much longer to execute. Ok, enough of the pre-amble.  I can’t reproduce the exact structure here, but the following script creates a table that will serve to demonstrate the effect: IF OBJECT_ID(N'dbo.Test', N'U') IS NOT NULL DROP TABLE dbo.Test GO CREATE TABLE dbo.Test ( row_id NUMERIC IDENTITY NOT NULL,   col01 NVARCHAR(450) NOT NULL, col02 NVARCHAR(450) NOT NULL, col03 NVARCHAR(450) NOT NULL, col04 NVARCHAR(450) NOT NULL, col05 NVARCHAR(450) NOT NULL, col06 NVARCHAR(450) NOT NULL, col07 NVARCHAR(450) NOT NULL, col08 NVARCHAR(450) NOT NULL, col09 NVARCHAR(450) NOT NULL, col10 NVARCHAR(450) NOT NULL, CONSTRAINT [PK dbo.Test row_id] PRIMARY KEY CLUSTERED (row_id) ) ; The next script loads the ten variable-length character columns with one-character strings in the first row, two-character strings in the second row, and so on down to the 450th row: WITH Numbers AS ( -- Generates numbers 1 - 450 inclusive SELECT TOP (450) n = ROW_NUMBER() OVER (ORDER BY (SELECT 0)) FROM master.sys.columns C1, master.sys.columns C2, master.sys.columns C3 ORDER BY n ASC ) INSERT dbo.Test WITH (TABLOCKX) SELECT REPLICATE(N'A', N.n), REPLICATE(N'B', N.n), REPLICATE(N'C', N.n), REPLICATE(N'D', N.n), REPLICATE(N'E', N.n), REPLICATE(N'F', N.n), REPLICATE(N'G', N.n), REPLICATE(N'H', N.n), REPLICATE(N'I', N.n), REPLICATE(N'J', N.n) FROM Numbers AS N ORDER BY N.n ASC ; Once those two scripts have run, the table contains 450 rows and 10 columns of data like this: Most of the time, when we query data from this table, we don’t see any LOB logical reads, for example: -- Find the maximum length of the data in -- column 5 for a range of rows SELECT result = MAX(DATALENGTH(T.col05)) FROM dbo.Test AS T WHERE row_id BETWEEN 50 AND 100 ; But with a different query… -- Read all the data in column 1 SELECT result = MAX(DATALENGTH(T.col01)) FROM dbo.Test AS T ; …suddenly we have 49 LOB logical reads, as well as the ‘normal’ logical reads we would expect. The Explanation If we had tried to create this table in SQL Server 2000, we would have received a warning message to say that future INSERT or UPDATE operations on the table might fail if the resulting row exceeded the in-row storage limit of 8060 bytes.  If we needed to store more data than would fit in an 8060 byte row (including internal overhead) we had to use a LOB column – TEXT, NTEXT, or IMAGE.  These special data types store the large data values in a separate structure, with just a small pointer left in the original row. Row Overflow SQL Server 2005 introduced a feature called row overflow, which allows one or more variable-length columns in a row to move to off-row storage if the data in a particular row would otherwise exceed 8060 bytes.  You no longer receive a warning when creating (or altering) a table that might need more than 8060 bytes of in-row storage; if SQL Server finds that it can no longer fit a variable-length column in a particular row, it will silently move one or more of these columns off the row into a separate allocation unit. Only variable-length columns can be moved in this way (for example the (N)VARCHAR, VARBINARY, and SQL_VARIANT types).  Fixed-length columns (like INTEGER and DATETIME for example) never move into ‘row overflow’ storage.  The decision to move a column off-row is done on a row-by-row basis – so data in a particular column might be stored in-row for some table records, and off-row for others. In general, if SQL Server finds that it needs to move a column into row-overflow storage, it moves the largest variable-length column record for that row.  Note that in the case of an UPDATE statement that results in the 8060 byte limit being exceeded, it might not be the column that grew that is moved! Sneaky LOBs Anyway, that’s all very interesting but I don’t want to get too carried away with the intricacies of row-overflow storage internals.  The point is that it is now possible to define a table with non-LOB columns that will silently exceed the old row-size limit and result in ordinary variable-length columns being moved to off-row storage.  Adding new columns to a table, expanding an existing column definition, or simply storing more data in a column than you used to – all these things can result in one or more variable-length columns being moved off the row. Note that row-overflow storage is logically quite different from old-style LOB and new-style MAX data type storage – individual variable-length columns are still limited to 8000 bytes each – you can just have more of them now.  Having said that, the physical mechanisms involved are very similar to full LOB storage – a column moved to row-overflow leaves a 24-byte pointer record in the row, and the ‘separate storage’ I have been talking about is structured very similarly to both old-style LOBs and new-style MAX types.  The disadvantages are also the same: when SQL Server needs a row-overflow column value it needs to follow the in-row pointer a navigate another chain of pages, just like retrieving a traditional LOB. And Finally… In the example script presented above, the rows with row_id values from 402 to 450 inclusive all exceed the total in-row storage limit of 8060 bytes.  A SELECT that references a column in one of those rows that has moved to off-row storage will incur one or more lob logical reads as the storage engine locates the data.  The results on your system might vary slightly depending on your settings, of course; but in my tests only column 1 in rows 402-450 moved off-row.  You might like to play around with the script – updating columns, changing data type lengths, and so on – to see the effect on lob logical reads and which columns get moved when.  You might even see row-overflow columns moving back in-row if they are updated to be smaller (hint: reduce the size of a column entry by at least 1000 bytes if you hope to see this). Be aware that SQL Server will not warn you when it moves ‘ordinary’ variable-length columns into overflow storage, and it can have dramatic effects on performance.  It makes more sense than ever to choose column data types sensibly.  If you make every column a VARCHAR(8000) or NVARCHAR(4000), and someone stores data that results in a row needing more than 8060 bytes, SQL Server might turn some of your column data into pseudo-LOBs – all without saying a word. Finally, some people make a distinction between ordinary LOBs (those that can hold up to 2GB of data) and the LOB-like structures created by row-overflow (where columns are still limited to 8000 bytes) by referring to row-overflow LOBs as SLOBs.  I find that quite appealing, but the ‘S’ stands for ‘small’, which makes expanding the whole acronym a little daft-sounding…small large objects anyone? © Paul White 2011 email: [email protected] twitter: @SQL_Kiwi

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• Windows Azure Service Bus Splitter and Aggregator

  - by Alan Smith

  This article will cover basic implementations of the Splitter and Aggregator patterns using the Windows Azure Service Bus. The content will be included in the next release of the “Windows Azure Service Bus Developer Guide”, along with some other patterns I am working on. I’ve taken the pattern descriptions from the book “Enterprise Integration Patterns” by Gregor Hohpe. I bought a copy of the book in 2004, and recently dusted it off when I started to look at implementing the patterns on the Windows Azure Service Bus. Gregor has also presented an session in 2011 “Enterprise Integration Patterns: Past, Present and Future” which is well worth a look. I’ll be covering more patterns in the coming weeks, I’m currently working on Wire-Tap and Scatter-Gather. There will no doubt be a section on implementing these patterns in my “SOA, Connectivity and Integration using the Windows Azure Service Bus” course. There are a number of scenarios where a message needs to be divided into a number of sub messages, and also where a number of sub messages need to be combined to form one message. The splitter and aggregator patterns provide a definition of how this can be achieved. This section will focus on the implementation of basic splitter and aggregator patens using the Windows Azure Service Bus direct programming model. In BizTalk Server receive pipelines are typically used to implement the splitter patterns, with sequential convoy orchestrations often used to aggregate messages. In the current release of the Service Bus, there is no functionality in the direct programming model that implements these patterns, so it is up to the developer to implement them in the applications that send and receive messages. Splitter A message splitter takes a message and spits the message into a number of sub messages. As there are different scenarios for how a message can be split into sub messages, message splitters are implemented using different algorithms. The Enterprise Integration Patterns book describes the splatter pattern as follows: How can we process a message if it contains multiple elements, each of which may have to be processed in a different way? Use a Splitter to break out the composite message into a series of individual messages, each containing data related to one item. The Enterprise Integration Patterns website provides a description of the Splitter pattern here. In some scenarios a batch message could be split into the sub messages that are contained in the batch. The splitting of a message could be based on the message type of sub-message, or the trading partner that the sub message is to be sent to. Aggregator An aggregator takes a stream or related messages and combines them together to form one message. The Enterprise Integration Patterns book describes the aggregator pattern as follows: How do we combine the results of individual, but related messages so that they can be processed as a whole? Use a stateful filter, an Aggregator, to collect and store individual messages until a complete set of related messages has been received. Then, the Aggregator publishes a single message distilled from the individual messages. The Enterprise Integration Patterns website provides a description of the Aggregator pattern here. A common example of the need for an aggregator is in scenarios where a stream of messages needs to be combined into a daily batch to be sent to a legacy line-of-business application. The BizTalk Server EDI functionality provides support for batching messages in this way using a sequential convoy orchestration. Scenario The scenario for this implementation of the splitter and aggregator patterns is the sending and receiving of large messages using a Service Bus queue. In the current release, the Windows Azure Service Bus currently supports a maximum message size of 256 KB, with a maximum header size of 64 KB. This leaves a safe maximum body size of 192 KB. The BrokeredMessage class will support messages larger than 256 KB; in fact the Size property is of type long, implying that very large messages may be supported at some point in the future. The 256 KB size restriction is set in the service bus components that are deployed in the Windows Azure data centers. One of the ways of working around this size restriction is to split large messages into a sequence of smaller sub messages in the sending application, send them via a queue, and then reassemble them in the receiving application. This scenario will be used to demonstrate the pattern implementations. Implementation The splitter and aggregator will be used to provide functionality to send and receive large messages over the Windows Azure Service Bus. In order to make the implementations generic and reusable they will be implemented as a class library. The splitter will be implemented in the LargeMessageSender class and the aggregator in the LargeMessageReceiver class. A class diagram showing the two classes is shown below. Implementing the Splitter The splitter will take a large brokered message, and split the messages into a sequence of smaller sub-messages that can be transmitted over the service bus messaging entities. The LargeMessageSender class provides a Send method that takes a large brokered message as a parameter. The implementation of the class is shown below; console output has been added to provide details of the splitting operation. public class LargeMessageSender {     private static int SubMessageBodySize = 192 * 1024;     private QueueClient m_QueueClient;       public LargeMessageSender(QueueClient queueClient)     {         m_QueueClient = queueClient;     }       public void Send(BrokeredMessage message)     {         // Calculate the number of sub messages required.         long messageBodySize = message.Size;         int nrSubMessages = (int)(messageBodySize / SubMessageBodySize);         if (messageBodySize % SubMessageBodySize != 0)         {             nrSubMessages++;         }           // Create a unique session Id.         string sessionId = Guid.NewGuid().ToString();         Console.WriteLine("Message session Id: " + sessionId);         Console.Write("Sending {0} sub-messages", nrSubMessages);           Stream bodyStream = message.GetBody<Stream>();         for (int streamOffest = 0; streamOffest < messageBodySize;             streamOffest += SubMessageBodySize)         {                                     // Get the stream chunk from the large message             long arraySize = (messageBodySize - streamOffest) > SubMessageBodySize                 ? SubMessageBodySize : messageBodySize - streamOffest;             byte[] subMessageBytes = new byte[arraySize];             int result = bodyStream.Read(subMessageBytes, 0, (int)arraySize);             MemoryStream subMessageStream = new MemoryStream(subMessageBytes);               // Create a new message             BrokeredMessage subMessage = new BrokeredMessage(subMessageStream, true);             subMessage.SessionId = sessionId;               // Send the message             m_QueueClient.Send(subMessage);             Console.Write(".");         }         Console.WriteLine("Done!");     }} The LargeMessageSender class is initialized with a QueueClient that is created by the sending application. When the large message is sent, the number of sub messages is calculated based on the size of the body of the large message. A unique session Id is created to allow the sub messages to be sent as a message session, this session Id will be used for correlation in the aggregator. A for loop in then used to create the sequence of sub messages by creating chunks of data from the stream of the large message. The sub messages are then sent to the queue using the QueueClient. As sessions are used to correlate the messages, the queue used for message exchange must be created with the RequiresSession property set to true. Implementing the Aggregator The aggregator will receive the sub messages in the message session that was created by the splitter, and combine them to form a single, large message. The aggregator is implemented in the LargeMessageReceiver class, with a Receive method that returns a BrokeredMessage. The implementation of the class is shown below; console output has been added to provide details of the splitting operation.   public class LargeMessageReceiver {     private QueueClient m_QueueClient;       public LargeMessageReceiver(QueueClient queueClient)     {         m_QueueClient = queueClient;     }       public BrokeredMessage Receive()     {         // Create a memory stream to store the large message body.         MemoryStream largeMessageStream = new MemoryStream();           // Accept a message session from the queue.         MessageSession session = m_QueueClient.AcceptMessageSession();         Console.WriteLine("Message session Id: " + session.SessionId);         Console.Write("Receiving sub messages");           while (true)         {             // Receive a sub message             BrokeredMessage subMessage = session.Receive(TimeSpan.FromSeconds(5));               if (subMessage != null)             {                 // Copy the sub message body to the large message stream.                 Stream subMessageStream = subMessage.GetBody<Stream>();                 subMessageStream.CopyTo(largeMessageStream);                   // Mark the message as complete.                 subMessage.Complete();                 Console.Write(".");             }             else             {                 // The last message in the sequence is our completeness criteria.                 Console.WriteLine("Done!");                 break;             }         }                     // Create an aggregated message from the large message stream.         BrokeredMessage largeMessage = new BrokeredMessage(largeMessageStream, true);         return largeMessage;     } }   The LargeMessageReceiver initialized using a QueueClient that is created by the receiving application. The receive method creates a memory stream that will be used to aggregate the large message body. The AcceptMessageSession method on the QueueClient is then called, which will wait for the first message in a message session to become available on the queue. As the AcceptMessageSession can throw a timeout exception if no message is available on the queue after 60 seconds, a real-world implementation should handle this accordingly. Once the message session as accepted, the sub messages in the session are received, and their message body streams copied to the memory stream. Once all the messages have been received, the memory stream is used to create a large message, that is then returned to the receiving application. Testing the Implementation The splitter and aggregator are tested by creating a message sender and message receiver application. The payload for the large message will be one of the webcast video files from http://www.cloudcasts.net/, the file size is 9,697 KB, well over the 256 KB threshold imposed by the Service Bus. As the splitter and aggregator are implemented in a separate class library, the code used in the sender and receiver console is fairly basic. The implementation of the main method of the sending application is shown below.   static void Main(string[] args) {     // Create a token provider with the relevant credentials.     TokenProvider credentials =         TokenProvider.CreateSharedSecretTokenProvider         (AccountDetails.Name, AccountDetails.Key);       // Create a URI for the serivce bus.     Uri serviceBusUri = ServiceBusEnvironment.CreateServiceUri         ("sb", AccountDetails.Namespace, string.Empty);       // Create the MessagingFactory     MessagingFactory factory = MessagingFactory.Create(serviceBusUri, credentials);       // Use the MessagingFactory to create a queue client     QueueClient queueClient = factory.CreateQueueClient(AccountDetails.QueueName);       // Open the input file.     FileStream fileStream = new FileStream(AccountDetails.TestFile, FileMode.Open);       // Create a BrokeredMessage for the file.     BrokeredMessage largeMessage = new BrokeredMessage(fileStream, true);       Console.WriteLine("Sending: " + AccountDetails.TestFile);     Console.WriteLine("Message body size: " + largeMessage.Size);     Console.WriteLine();         // Send the message with a LargeMessageSender     LargeMessageSender sender = new LargeMessageSender(queueClient);     sender.Send(largeMessage);       // Close the messaging facory.     factory.Close();  } The implementation of the main method of the receiving application is shown below. static void Main(string[] args) {       // Create a token provider with the relevant credentials.     TokenProvider credentials =         TokenProvider.CreateSharedSecretTokenProvider         (AccountDetails.Name, AccountDetails.Key);       // Create a URI for the serivce bus.     Uri serviceBusUri = ServiceBusEnvironment.CreateServiceUri         ("sb", AccountDetails.Namespace, string.Empty);       // Create the MessagingFactory     MessagingFactory factory = MessagingFactory.Create(serviceBusUri, credentials);       // Use the MessagingFactory to create a queue client     QueueClient queueClient = factory.CreateQueueClient(AccountDetails.QueueName);       // Create a LargeMessageReceiver and receive the message.     LargeMessageReceiver receiver = new LargeMessageReceiver(queueClient);     BrokeredMessage largeMessage = receiver.Receive();       Console.WriteLine("Received message");     Console.WriteLine("Message body size: " + largeMessage.Size);       string testFile = AccountDetails.TestFile.Replace(@"\In\", @"\Out\");     Console.WriteLine("Saving file: " + testFile);       // Save the message body as a file.     Stream largeMessageStream = largeMessage.GetBody<Stream>();     largeMessageStream.Seek(0, SeekOrigin.Begin);     FileStream fileOut = new FileStream(testFile, FileMode.Create);     largeMessageStream.CopyTo(fileOut);     fileOut.Close();       Console.WriteLine("Done!"); } In order to test the application, the sending application is executed, which will use the LargeMessageSender class to split the message and place it on the queue. The output of the sender console is shown below. The console shows that the body size of the large message was 9,929,365 bytes, and the message was sent as a sequence of 51 sub messages. When the receiving application is executed the results are shown below. The console application shows that the aggregator has received the 51 messages from the message sequence that was creating in the sending application. The messages have been aggregated to form a massage with a body of 9,929,365 bytes, which is the same as the original large message. The message body is then saved as a file. Improvements to the Implementation The splitter and aggregator patterns in this implementation were created in order to show the usage of the patterns in a demo, which they do quite well. When implementing these patterns in a real-world scenario there are a number of improvements that could be made to the design. Copying Message Header Properties When sending a large message using these classes, it would be great if the message header properties in the message that was received were copied from the message that was sent. The sending application may well add information to the message context that will be required in the receiving application. When the sub messages are created in the splitter, the header properties in the first message could be set to the values in the original large message. The aggregator could then used the values from this first sub message to set the properties in the message header of the large message during the aggregation process. Using Asynchronous Methods The current implementation uses the synchronous send and receive methods of the QueueClient class. It would be much more performant to use the asynchronous methods, however doing so may well affect the sequence in which the sub messages are enqueued, which would require the implementation of a resequencer in the aggregator to restore the correct message sequence. Handling Exceptions In order to keep the code readable no exception handling was added to the implementations. In a real-world scenario exceptions should be handled accordingly.

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• Should vendors have an express queue for people who have a clue? What passes for support today?

  - by Greg Low

  It's good to see some airports that have queues for people that travel frequently and know what they're doing. But I'm left thinking that IT vendors need to have something similar. Bigpond (part of Telstra) in Australia have recently introduced new 42MB/sec modems on their 3G network. It's actually just a pair of 21MB/sec modems linked together but the idea is cute. Around most of the country, they work pretty well. In the middle of the CBD in Melbourne however, at present they just don't work. Having...(read more)

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• Why is Postfix trying to connect to other machines SMTP port 25?

  - by TryTryAgain

  Jul 5 11:09:25 relay postfix/smtp[3084]: connect to ab.xyz.com[10.41.0.101]:25: Connection refused Jul 5 11:09:25 relay postfix/smtp[3087]: connect to ab.xyz.com[10.41.0.247]:25: Connection refused Jul 5 11:09:25 relay postfix/smtp[3088]: connect to ab.xyz.com[10.41.0.101]:25: Connection refused Jul 5 11:09:25 relay postfix/smtp[3084]: connect to ab.xyz.com[10.41.0.247]:25: Connection refused Jul 5 11:09:25 relay postfix/smtp[3087]: connect to ab.xyz.com[10.41.0.110]:25: Connection refused Jul 5 11:09:25 relay postfix/smtp[3088]: connect to ab.xyz.com[10.41.0.110]:25: Connection refused Jul 5 11:09:25 relay postfix/smtp[3084]: connect to ab.xyz.com[10.41.0.102]:25: Connection refused Jul 5 11:09:30 relay postfix/smtp[3085]: connect to ab.xyz.com[10.41.0.102]:25: Connection refused Jul 5 11:09:30 relay postfix/smtp[3086]: connect to ab.xyz.com[10.41.0.247]:25: Connection refused Jul 5 11:09:30 relay postfix/smtp[3086]: connect to ab.xyz.com[10.41.0.102]:25: Connection refused Jul 5 11:09:55 relay postfix/smtp[3087]: connect to ab.xyz.com[10.40.40.130]:25: Connection timed out Jul 5 11:09:55 relay postfix/smtp[3084]: connect to ab.xyz.com[10.40.40.130]:25: Connection timed out Jul 5 11:09:55 relay postfix/smtp[3088]: connect to ab.xyz.com[10.40.40.130]:25: Connection timed out Jul 5 11:09:55 relay postfix/smtp[3087]: connect to ab.xyz.com[10.41.0.135]:25: Connection refused Jul 5 11:09:55 relay postfix/smtp[3084]: connect to ab.xyz.com[10.41.0.110]:25: Connection refused Jul 5 11:09:55 relay postfix/smtp[3088]: connect to ab.xyz.com[10.41.0.247]:25: Connection refused Is this a DNS thing, doubtful as I've changed from our local DNS to Google's..still Postfix will occasionally try and connect to ab.xyz.com from a variety of addresses that may or may not have port 25 open and act as mail servers to begin with. Why is Postfix attempting to connect to other machines as seen in the log? Mail is being sent properly, other than that, it appears all is good. Occasionally I'll also see: relay postfix/error[3090]: 3F1AB42132: to=, relay=none, delay=32754, delays=32724/30/0/0, dsn=4.4.1, status=deferred (delivery temporarily suspended: connect to ab.xyz.com[10.41.0.102]:25: Connection refused) I have Postfix setup with very little restrictions: mynetworks = 127.0.0.0/8, 10.0.0.0/8 only. Like I said it appears all mail is getting passed through, but I hate seeing errors and it is confusing me as to why it would be attempting to connect to other machines as seen in the log. Some Output of cat /var/log/mail.log|grep 3F1AB42132 Jul 5 02:04:01 relay postfix/smtpd[1653]: 3F1AB42132: client=unknown[10.41.0.109] Jul 5 02:04:01 relay postfix/cleanup[1655]: 3F1AB42132: message-id= Jul 5 02:04:01 relay postfix/qmgr[1588]: 3F1AB42132: from=, size=3404, nrcpt=1 (queue active) Jul 5 02:04:31 relay postfix/smtp[1634]: 3F1AB42132: to=, relay=none, delay=30, delays=0.02/0/30/0, dsn=4.4.1, status=deferred (connect to ab.xyz.com[10.41.0.110]:25: Connection refused) Jul 5 02:13:58 relay postfix/qmgr[1588]: 3F1AB42132: from=, size=3404, nrcpt=1 (queue active) Jul 5 02:14:28 relay postfix/smtp[1681]: 3F1AB42132: to=, relay=none, delay=628, delays=598/0.01/30/0, dsn=4.4.1, status=deferred (connect to ab.xyz.com[10.41.0.247]:25: Connection refused) Jul 5 02:28:58 relay postfix/qmgr[1588]: 3F1AB42132: from=, size=3404, nrcpt=1 (queue active) Jul 5 02:29:28 relay postfix/smtp[1684]: 3F1AB42132: to=, relay=none, delay=1527, delays=1497/0/30/0, dsn=4.4.1, status=deferred (connect to ab.xyz.com[10.41.0.135]:25: Connection refused) Jul 5 02:58:58 relay postfix/qmgr[1588]: 3F1AB42132: from=, size=3404, nrcpt=1 (queue active) Jul 5 02:59:28 relay postfix/smtp[1739]: 3F1AB42132: to=, relay=none, delay=3327, delays=3297/0/30/0, dsn=4.4.1, status=deferred (connect to ab.xyz.com[10.40.40.130]:25: Connection timed out) Jul 5 03:58:58 relay postfix/qmgr[1588]: 3F1AB42132: from=, size=3404, nrcpt=1 (queue active) Jul 5 03:59:28 relay postfix/smtp[1839]: 3F1AB42132: to=, relay=none, delay=6928, delays=6897/0.03/30/0, dsn=4.4.1, status=deferred (connect to ab.xyz.com[10.41.0.101]:25: Connection refused) Jul 5 04:11:03 relay postfix/qmgr[2039]: 3F1AB42132: from=, size=3404, nrcpt=1 (queue active) Jul 5 04:11:33 relay postfix/error[2093]: 3F1AB42132: to=, relay=none, delay=7653, delays=7622/30/0/0, dsn=4.4.1, status=deferred (delivery temporarily suspended: connect to ab.xyz.com[10.41.0.101]:25: Connection refused) Jul 5 05:21:03 relay postfix/qmgr[2039]: 3F1AB42132: from=, size=3404, nrcpt=1 (queue active) Jul 5 05:21:33 relay postfix/error[2217]: 3F1AB42132: to=, relay=none, delay=11853, delays=11822/30/0/0, dsn=4.4.1, status=deferred (delivery temporarily suspended: connect to ab.xyz.com[10.41.0.101]:25: Connection refused) Jul 5 06:29:25 relay postfix/qmgr[2420]: 3F1AB42132: from=, size=3404, nrcpt=1 (queue active) Jul 5 06:29:55 relay postfix/error[2428]: 3F1AB42132: to=, relay=none, delay=15954, delays=15924/30/0/0.08, dsn=4.4.1, status=deferred (delivery temporarily suspended: connect to ab.xyz.com[10.41.0.101]:25: Connection refused) Jul 5 07:39:24 relay postfix/qmgr[2885]: 3F1AB42132: from=, size=3404, nrcpt=1 (queue active) Jul 5 07:39:54 relay postfix/error[2936]: 3F1AB42132: to=, relay=none, delay=20153, delays=20123/30/0/0, dsn=4.4.1, status=deferred (delivery temporarily suspended: connect to ab.xyz.com[10.40.40.130]:25: Connection timed out)

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• Vista install works on one computer, but bluescreens another (on which Vista is known to work)

  - by Ken

  I hope my explanations make some sense -- please ask for clarification if they don't. I had a computer running Windows Vista (Ultimate, 64-bit). All was well! Then one day there was a nasty power surge at the office, and it died. (We didn't have surge protectors at the office, unfortunately. I assumed our lines were conditioned elsewhere, or was not an issue here. Oops.) After some testing, it was determined that the PSU, motherboard, and RAM were bad. While waiting for new hardware to arrive, I put my hard disk in a spare PC which had identical parts (mobo/CPU/RAM/PSU/video). Everything worked perfectly. The only way I could even tell it wasn't my computer is because Vista asked to re-activate itself with the new hardware, which worked fine, too. So the hard disk seems OK. Then the new parts arrived. The old motherboard model is no longer manufactured, so it's a new one with the same CPU/RAM/videocard/etc. slots. The PSU is also new, while the RAM I'm using is from the spare PC mentioned above. When I put it together and tried booting with my old hard disk, it starts to boot Windows, and then (fairly early in the process) gives a bluescreen and immediately reboots (so I can't see whatever the bluescreen is trying to tell me). I tried "safe mode", which also bluescreened. I tried booting the Vista DVD and running the repair utility, which found a Vista install, confirmed that it would not boot, and, eventually, declared that it was unable to repair it. I installed Vista fresh on a new hard disk, with the new mobo/etc., and it works perfectly. (That's what I'm running now.) I've also booted a Linux CD here, which ran great, and I've run Memtest86+ for a while, which found no errors. So all the hardware apart from the old hard disk seems OK, too. I don't think the problem is with my old Vista hard disk, since I used that with another mobo/CPU just fine. I don't think it's any other part of the new hardware, since I'm able to use it (and test it) with no trouble. It's just the combination of my old Vista install plus the new PC hardware that's not happy. I can get my data off my old hard disk and onto my new hard disk, and reinstall my apps, but it would be nice if I could fix things so I could continue to use my old hard disk as before. The latest hypothesis I've heard is that Vista had trouble with the new hardware (i.e., motherboard), but we have no idea what to do about that (except Safe Mode, which didn't work). Suggestions? Hypotheses for what's not right about this combination of Vista install and motherboard? Thanks!

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• What disk image should I use with VirtualBox, VDI, VMDK, VHD or HDD?

  - by Sorin Sbarnea

  Latest versions of VirtualBox supports several formats for virtual disks, but they forgot to provide a comparison between them. VDI VMDK VHD HDD Now, I am interested about a recommendation or comparison that considers the following: be able to use dynamic sizing be able to have snapshots be able to move my virtual machine to another OS or even another free virtualization solution with minimal effort (probably something that would run fine on Ubuntu). performance

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