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  • WP: AesManaged encryption vs. mcrypt_encrypt

    - by invalidusername
    I'm trying to synchronize my encryption and decryption methods between C# and PHP but something seems to be going wrong. In the Windows Phone 7 SDK you can use AESManaged to encrypt your data I use the following method: public static string EncryptA(string dataToEncrypt, string password, string salt) { AesManaged aes = null; MemoryStream memoryStream = null; CryptoStream cryptoStream = null; try { //Generate a Key based on a Password, Salt and HMACSHA1 pseudo-random number generator Rfc2898DeriveBytes rfc2898 = new Rfc2898DeriveBytes(password, Encoding.UTF8.GetBytes(salt)); //Create AES algorithm with 256 bit key and 128-bit block size aes = new AesManaged(); aes.Key = rfc2898.GetBytes(aes.KeySize / 8); aes.IV = new byte[] { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }; // rfc2898.GetBytes(aes.BlockSize / 8); // to check my results against those of PHP var blaat1 = Convert.ToBase64String(aes.Key); var blaat2 = Convert.ToBase64String(aes.IV); //Create Memory and Crypto Streams memoryStream = new MemoryStream(); cryptoStream = new CryptoStream(memoryStream, aes.CreateEncryptor(), CryptoStreamMode.Write); //Encrypt Data byte[] data = Encoding.Unicode.GetBytes(dataToEncrypt); cryptoStream.Write(data, 0, data.Length); cryptoStream.FlushFinalBlock(); //Return Base 64 String string result = Convert.ToBase64String(memoryStream.ToArray()); return result; } finally { if (cryptoStream != null) cryptoStream.Close(); if (memoryStream != null) memoryStream.Close(); if (aes != null) aes.Clear(); } } I solved the problem of generating the Key. The Key and IV are similar as those on the PHP end. But then the final step in the encryption is going wrong. here is my PHP code <?php function pbkdf2($p, $s, $c, $dk_len, $algo = 'sha1') { // experimentally determine h_len for the algorithm in question static $lengths; if (!isset($lengths[$algo])) { $lengths[$algo] = strlen(hash($algo, null, true)); } $h_len = $lengths[$algo]; if ($dk_len > (pow(2, 32) - 1) * $h_len) { return false; // derived key is too long } else { $l = ceil($dk_len / $h_len); // number of derived key blocks to compute $t = null; for ($i = 1; $i <= $l; $i++) { $f = $u = hash_hmac($algo, $s . pack('N', $i), $p, true); // first iterate for ($j = 1; $j < $c; $j++) { $f ^= ($u = hash_hmac($algo, $u, $p, true)); // xor each iterate } $t .= $f; // concatenate blocks of the derived key } return substr($t, 0, $dk_len); // return the derived key of correct length } } $password = 'test'; $salt = 'saltsalt'; $text = "texttoencrypt"; #$iv_size = mcrypt_get_iv_size(MCRYPT_RIJNDAEL_128, MCRYPT_MODE_CBC); #echo $iv_size . '<br/>'; #$iv = mcrypt_create_iv($iv_size, MCRYPT_RAND); #print_r (mcrypt_list_algorithms()); $iv = "\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00"; $key = pbkdf2($password, $salt, 1000, 32); echo 'key: ' . base64_encode($key) . '<br/>'; echo 'iv: ' . base64_encode($iv) . '<br/>'; echo '<br/><br/>'; function addpadding($string, $blocksize = 32){ $len = strlen($string); $pad = $blocksize - ($len % $blocksize); $string .= str_repeat(chr($pad), $pad); return $string; } echo 'text: ' . $text . '<br/>'; echo 'text: ' . addpadding($text) . '<br/>'; // -- works till here $crypttext = mcrypt_encrypt(MCRYPT_RIJNDAEL_256, $key, $text, MCRYPT_MODE_CBC, $iv); echo '1.' . $crypttext . '<br/>'; $crypttext = base64_encode($crypttext); echo '2.' . $crypttext . '<br/>'; $crypttext = mcrypt_encrypt(MCRYPT_RIJNDAEL_256, $key, addpadding($text), MCRYPT_MODE_CBC, $iv); echo '1.' . $crypttext . '<br/>'; $crypttext = base64_encode($crypttext); echo '2.' . $crypttext . '<br/>'; ?> So to point out, the Key and IV look similar on both .NET and PHP, but something seems to be going wrong in the final call when executing mcrypt_encrypt(). The end result, the encrypted string, differs from .NET. Can anybody tell me what i'm doing wrong. As far as i can see everything should be correct. Thank you! EDIT: Additional information on the AESManaged object in .NET Keysize = 256 Mode = CBC Padding = PKCS7

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  • Windows Impersonation failed

    - by skprocks
    I am using following code to implement impersonation for the particular windows account,which is failing.Please help. using System.Security.Principal; using System.Runtime.InteropServices; public partial class Source_AddNewProduct : System.Web.UI.Page { [DllImport("advapi32.dll", SetLastError = true)] static extern bool LogonUser( string principal, string authority, string password, LogonSessionType logonType, LogonProvider logonProvider, out IntPtr token); [DllImport("kernel32.dll", SetLastError = true)] static extern bool CloseHandle(IntPtr handle); enum LogonSessionType : uint { Interactive = 2, Network, Batch, Service, NetworkCleartext = 8, NewCredentials } enum LogonProvider : uint { Default = 0, // default for platform (use this!) WinNT35, // sends smoke signals to authority WinNT40, // uses NTLM WinNT50 // negotiates Kerb or NTLM } //impersonation is used when user tries to upload an image to a network drive protected void btnPrimaryPicUpload_Click1(object sender, EventArgs e) { try { string mDocumentExt = string.Empty; string mDocumentName = string.Empty; HttpPostedFile mUserPostedFile = null; HttpFileCollection mUploadedFiles = null; string xmlPath = string.Empty; FileStream fs = null; StreamReader file; string modify; mUploadedFiles = HttpContext.Current.Request.Files; mUserPostedFile = mUploadedFiles[0]; if (mUserPostedFile.ContentLength >= 0 && Path.GetFileName(mUserPostedFile.FileName) != "") { mDocumentName = Path.GetFileName(mUserPostedFile.FileName); mDocumentExt = Path.GetExtension(mDocumentName); mDocumentExt = mDocumentExt.ToLower(); if (mDocumentExt != ".jpg" && mDocumentExt != ".JPG" && mDocumentExt != ".gif" && mDocumentExt != ".GIF" && mDocumentExt != ".jpeg" && mDocumentExt != ".JPEG" && mDocumentExt != ".tiff" && mDocumentExt != ".TIFF" && mDocumentExt != ".png" && mDocumentExt != ".PNG" && mDocumentExt != ".raw" && mDocumentExt != ".RAW" && mDocumentExt != ".bmp" && mDocumentExt != ".BMP" && mDocumentExt != ".TIF" && mDocumentExt != ".tif") { Page.RegisterStartupScript("select", "<script language=" + Convert.ToChar(34) + "VBScript" + Convert.ToChar(34) + "> MsgBox " + Convert.ToChar(34) + "Please upload valid picture file format" + Convert.ToChar(34) + " , " + Convert.ToChar(34) + "64" + Convert.ToChar(34) + " , " + Convert.ToChar(34) + "WFISware" + Convert.ToChar(34) + "</script>"); } else { int intDocLen = mUserPostedFile.ContentLength; byte[] imageBytes = new byte[intDocLen]; mUserPostedFile.InputStream.Read(imageBytes, 0, mUserPostedFile.ContentLength); //xmlPath = @ConfigurationManager.AppSettings["ImagePath"].ToString(); xmlPath = Server.MapPath("./../ProductImages/"); mDocumentName = Guid.NewGuid().ToString().Replace("-", "") + System.IO.Path.GetExtension(mUserPostedFile.FileName); //if (System.IO.Path.GetExtension(mUserPostedFile.FileName) == ".jpg") //{ //} //if (System.IO.Path.GetExtension(mUserPostedFile.FileName) == ".gif") //{ //} mUserPostedFile.SaveAs(xmlPath + mDocumentName); //Remove commenting till upto stmt xmlPath = "./../ProductImages/"; to implement impersonation byte[] bytContent; IntPtr token = IntPtr.Zero; WindowsImpersonationContext impersonatedUser = null; try { // Note: Credentials should be encrypted in configuration file bool result = LogonUser(ConfigurationManager.AppSettings["ServiceAccount"].ToString(), "ad-ent", ConfigurationManager.AppSettings["ServiceAccountPassword"].ToString(), LogonSessionType.Network, LogonProvider.Default, out token); if (result) { WindowsIdentity id = new WindowsIdentity(token); // Begin impersonation impersonatedUser = id.Impersonate(); mUserPostedFile.SaveAs(xmlPath + mDocumentName); } else { throw new Exception("Identity impersonation has failed."); } } catch { throw; } finally { // Stop impersonation and revert to the process identity if (impersonatedUser != null) impersonatedUser.Undo(); // Free the token if (token != IntPtr.Zero) CloseHandle(token); } xmlPath = "./../ProductImages/"; xmlPath = xmlPath + mDocumentName; string o_image = xmlPath; //For impersoantion uncomment this line and comment next line //string o_image = "../ProductImages/" + mDocumentName; ViewState["masterImage"] = o_image; //fs = new FileStream(xmlPath, FileMode.Open, FileAccess.Read); //file = new StreamReader(fs, Encoding.UTF8); //modify = file.ReadToEnd(); //file.Close(); //commented by saurabh kumar 28may'09 imgImage.Visible = true; imgImage.ImageUrl = ViewState["masterImage"].ToString(); img_Label1.Visible = false; } //e.Values["TemplateContent"] = modify; //e.Values["TemplateName"] = mDocumentName.Replace(".xml", ""); } } catch (Exception ex) { ExceptionUtil.UI(ex); Response.Redirect("errorpage.aspx"); } } } The code on execution throws system.invalidoperation exception.I have provided full control to destination folder to the windows service account that i am impersonating.

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  • MBR status confusion

    - by Ahmed Ghoneim
    EB 58 90 6D 6B 64 6F 73 66 73 00 00 02 08 20 00 02 00 00 00 00 F8 00 00 3E 00 83 00 00 00 00 00 94 88 7E 00 98 1F 00 00 00 00 00 00 02 00 00 00 01 00 06 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 29 A9 38 B1 34 57 61 76 65 20 20 20 20 20 20 20 46 41 54 33 32 20 20 20 0E 1F BE 77 7C AC 22 C0 74 0B 56 B4 0E BB 07 00 CD 10 5E EB F0 32 E4 CD 16 CD 19 EB FE 54 68 69 73 20 69 73 20 6E 6F 74 20 61 20 62 6F 6F 74 61 62 6C 65 20 64 69 73 6B 2E 20 20 50 6C 65 61 73 65 20 69 6E 73 65 72 74 20 61 20 62 6F 6F 74 61 62 6C 65 20 66 6C 6F 70 70 79 20 61 6E 64 0D 0A 70 72 65 73 73 20 61 6E 79 20 6B 65 79 20 74 6F 20 74 72 79 20 61 67 61 69 6E 20 2E 2E 2E 20 0D 0A 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 55 AA Learning disk records, this is my USB MBR record viewed by bless on ubuntu formatted with disk utility as MBR table and FAT partition, referring to this Wiki of first record status (0x80 = bootable (active), 0x00 = non-bootable, other = invalid ) but my MBR shows first offset as EB. What's this record stands for ? also, can you provide me with good tables/images tutorials for MBR and other disks' records :)

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  • Paypal development. encrypt transactions. php p12

    - by ninchen
    when i take a look at the paypal documentation, they say "Note that the PayPal SDK for PHP does not require SSL encryption". https://developer.paypal.com/docs/classic/api/apiCredentials/#encrypting-your-certificate Is the statement of this phrase, that i don't have to create a p12 certificate when working with php, but use the public_key.pem and paypal_public_key.pem? If yes: Is it secure enough to create the encrypted form input elements without p12 certificate? If no: What do they mean? :-) Before this question came up, i've tested this little programm. http://www.softarea51.com/blog/how-to-integrate-your-custom-shopping-cart-with-paypal-website-payments-standard-using-php/ There is a config file paypal-wps-config.inc.php where i can define the paths to my certificates. // tryed to use // 'paypal_cert.p12 '; $config['private_key_path'] = '/home/folder/.cert/pp/prvkey.pem'; // must match the one you set when you created the private key $config['private_key_password'] = ''; //'my_password'; When i try to use the p12 certificate, openssl_error_string() returns "Could not sign data: error:0906D06C:PEM routines:PEM_read_bio:no start line openssl_pkcs7_sign When i instead use the prvkey.pem without password all works fine. Here is the function, which signs and encrypt the data. function signAndEncrypt($dataStr_, $ewpCertPath_, $ewpPrivateKeyPath_, $ewpPrivateKeyPwd_, $paypalCertPath_) { $dataStrFile = realpath(tempnam('/tmp', 'pp_')); $fd = fopen($dataStrFile, 'w'); if(!$fd) { $error = "Could not open temporary file $dataStrFile."; return array("status" => false, "error_msg" => $error, "error_no" => 0); } fwrite($fd, $dataStr_); fclose($fd); $signedDataFile = realpath(tempnam('/tmp', 'pp_')); **// here the error came from** if(!@openssl_pkcs7_sign( $dataStrFile, $signedDataFile, "file://$ewpCertPath_", array("file://$ewpPrivateKeyPath_", $ewpPrivateKeyPwd_), array(), PKCS7_BINARY)) { unlink($dataStrFile); unlink($signedDataFile); $error = "Could not sign data: ".openssl_error_string(); return array("status" => false, "error_msg" => $error, "error_no" => 0); } unlink($dataStrFile); $signedData = file_get_contents($signedDataFile); $signedDataArray = explode("\n\n", $signedData); $signedData = $signedDataArray[1]; $signedData = base64_decode($signedData); unlink($signedDataFile); $decodedSignedDataFile = realpath(tempnam('/tmp', 'pp_')); $fd = fopen($decodedSignedDataFile, 'w'); if(!$fd) { $error = "Could not open temporary file $decodedSignedDataFile."; return array("status" => false, "error_msg" => $error, "error_no" => 0); } fwrite($fd, $signedData); fclose($fd); $encryptedDataFile = realpath(tempnam('/tmp', 'pp_')); if(!@openssl_pkcs7_encrypt( $decodedSignedDataFile, $encryptedDataFile, file_get_contents($paypalCertPath_), array(), PKCS7_BINARY)) { unlink($decodedSignedDataFile); unlink($encryptedDataFile); $error = "Could not encrypt data: ".openssl_error_string(); return array("status" => false, "error_msg" => $error, "error_no" => 0); } unlink($decodedSignedDataFile); $encryptedData = file_get_contents($encryptedDataFile); if(!$encryptedData) { $error = "Encryption and signature of data failed."; return array("status" => false, "error_msg" => $error, "error_no" => 0); } unlink($encryptedDataFile); $encryptedDataArray = explode("\n\n", $encryptedData); $encryptedData = trim(str_replace("\n", '', $encryptedDataArray[1])); return array("status" => true, "encryptedData" => $encryptedData); } // signAndEncrypt } // PPCrypto The main questions: 1. Is it possible to use p12 cert with php, or is it secure enough to work without it? 2. Why i become an error when using openssl_pkcs7_sign Please help. Greetings ninchen

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  • Loading the last related record instantly for multiple parent records using Entity framework

    - by Guillaume Schuermans
    Does anyone know a good approach using Entity Framework for the problem described below? I am trying for our next release to come up with a performant way to show the placed orders for the logged on customer. Of course paging is always a good technique to use when a lot of data is available I would like to see an answer without any paging techniques. Here's the story: a customer places an order which gets an orderstatus = PENDING. Depending on some strategy we move that order up the chain in order to get it APPROVED. Every change of status is logged so we can see a trace for statusses and maybe even an extra line of comment per status which can provide some extra valuable information to whoever sees this order in an interface. So an Order is linked to a Customer. One order can have multiple orderstatusses stored in OrderStatusHistory. In my testscenario I am using a customer which has 100+ Orders each with about 5 records in the OrderStatusHistory-table. I would for now like to see all orders in one page not using paging where for each Order I show the last relevant Status and the extra comment (if there is any for this last status; both fields coming from OrderStatusHistory; the record with the highest Id for the given OrderId). There are multiple scenarios I have tried, but I would like to see any potential other solutions or comments on the things I have already tried. Trying to do Include() when getting Orders but this still results in multiple queries launched on the database. Each order triggers an extra query to the database to get all orderstatusses in the history table. So all statusses are queried here instead of just returning the last relevant one, plus 100 extra queries are launched for 100 orders. You can imagine the problem when there are 100000+ orders in the database. Having 2 computed columns on the database: LastStatus, LastStatusInformation and a regular Linq-Query which gets those columns which are available through the Entity-model. The problem with this approach is the fact that those computed columns are determined using a scalar function which can not be changed without removing the formula from the computed column, etc... In the end I am very familiar with SQL and Stored procedures, but since the rest of the data-layer uses Entity Framework I would like to stick to it as long as possible, even though I have my doubts about performance. Using the SQL approach I would write something like this: WITH cte (RN, OrderId, [Status], Information) AS ( SELECT ROW_NUMBER() OVER (PARTITION BY OrderId ORDER BY Id DESC), OrderId, [Status], Information FROM OrderStatus ) SELECT o.Id, cte.[Status], cte.Information AS StatusInformation, o.* FROM [Order] o INNER JOIN cte ON o.Id = cte.OrderId AND cte.RN = 1 WHERE CustomerId = @CustomerId ORDER BY 1 DESC; which returns all orders for the customer with the statusinformation provided by the Common Table Expression. Does anyone know a good approach using Entity Framework?

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  • Moving from Windows to Ubuntu.

    - by djzmo
    Hello there, I used to program in Windows with Microsoft Visual C++ and I need to make some of my portable programs (written in portable C++) to be cross-platform, or at least I can release a working version of my program for both Linux and Windows. I am total newcomer in Linux application development (and rarely use the OS itself). So, today, I installed Ubuntu 10.04 LTS (through Wubi) and equipped Code::Blocks with the g++ compiler as my main weapon. Then I compiled my very first Hello World linux program, and I confused about the output program. I can run my program through the "Build and Run" menu option in Code::Blocks, but when I tried to launch the compiled application externally through a File Browser (in /media/MyNTFSPartition/MyProject/bin/Release; yes, I saved it in my NTFS partition), the program didn't show up. Why? I ran out of idea. I need to change my Windows and Microsoft Visual Studio mindset to Linux and Code::Blocks mindset. So I came up with these questions: How can I execute my compiled linux programs externally (outside IDE)? In Windows, I simply run the generated executable (.exe) file How can I distribute my linux application? In Windows, I simply distribute the executable files with the corresponding DLL files (if any) What is the equivalent of LIBs (static library) and DLLs (dynamic library) in linux and how to use them? In Windows/Visual Studio, I simply add the required libraries to the Additional Dependencies in the Project Settings, and my program will automatically link with the required static library(-ies)/DLLs. Is it possible to use the "binary form" of a C++ library (if provided) so that I wouldn't need to recompile the entire library source code? In Windows, yes. Sometimes precompiled *.lib files are provided. If I want to create a wxWidgets application in Linux, which package should I pick for Ubuntu? wxGTK or wxX11? Can I run wxGTK program under X11? In Windows, I use wxMSW, Of course. If question no. 4 is answered possible, are precompiled wxX11/wxGTK library exists out there? Haven't tried deep google search. In Windows, there is a project called "wxPack" (http://wxpack.sourceforge.net/) that saves a lot of my time. Sorry for asking many questions, but I am really confused on these linux development fundamentals. Any kind of help would be appreciated =) Thanks.

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  • OpenSSL in C++ email client - server closes connection with TLSv1 Alert message

    - by mice
    My app connects to a IMAP email server. One client configured his server to reject SSLv2 certificates, and now my app fails to connect to the server. All other email clients connect to this server successfully. My app uses openssl. I debugged by creating minimal openssl client and attempt to connect to the server. Below is the code with connects to the mail server (using Windows sockets, but same problem is with unix sockets). Server sends its initial IMAP greeting message, but after client sends 1st command, server closes connection. In Wireshark, I see that after sending command to server, it returns TLSv1 error message 21 (Encrypted Alert) and connection is gone. I'm looking for proper setup of OpenSSL for this connection to succeed. Thanks #include <stdio.h> #include <memory.h> #include <errno.h> #include <sys/types.h> #include <winsock2.h> #include <openssl/crypto.h> #include <openssl/x509.h> #include <openssl/pem.h> #include <openssl/ssl.h> #include <openssl/err.h> #define CHK_NULL(x) if((x)==NULL) exit(1) #define CHK_ERR(err,s) if((err)==-1) { perror(s); exit(1); } #define CHK_SSL(err) if((err)==-1) { ERR_print_errors_fp(stderr); exit(2); } SSL *ssl; char buf[4096]; void write(const char *s){ int err = SSL_write(ssl, s, strlen(s)); printf("> %s\n", s); CHK_SSL(err); } void read(){ int n = SSL_read(ssl, buf, sizeof(buf) - 1); CHK_SSL(n); if(n==0){ printf("Finished\n"); exit(1); } buf[n] = 0; printf("%s\n", buf); } void main(){ int err=0; SSLeay_add_ssl_algorithms(); SSL_METHOD *meth = SSLv23_client_method(); SSL_load_error_strings(); SSL_CTX *ctx = SSL_CTX_new(meth); CHK_NULL(ctx); WSADATA data; WSAStartup(0x202, &data); int sd = socket(AF_INET, SOCK_STREAM, IPPROTO_TCP); CHK_ERR(sd, "socket"); struct sockaddr_in sa; memset(&sa, 0, sizeof(sa)); sa.sin_family = AF_INET; sa.sin_addr.s_addr = inet_addr("195.137.27.14"); sa.sin_port = htons(993); err = connect(sd,(struct sockaddr*) &sa, sizeof(sa)); CHK_ERR(err, "connect"); /* ----------------------------------------------- */ /* Now we have TCP connection. Start SSL negotiation. */ ssl = SSL_new(ctx); CHK_NULL(ssl); SSL_set_fd(ssl, sd); err = SSL_connect(ssl); CHK_SSL(err); // Following two steps are optional and not required for data exchange to be successful. /* printf("SSL connection using %s\n", SSL_get_cipher(ssl)); X509 *server_cert = SSL_get_peer_certificate(ssl); CHK_NULL(server_cert); printf("Server certificate:\n"); char *str = X509_NAME_oneline(X509_get_subject_name(server_cert),0,0); CHK_NULL(str); printf(" subject: %s\n", str); OPENSSL_free(str); str = X509_NAME_oneline(X509_get_issuer_name (server_cert),0,0); CHK_NULL(str); printf(" issuer: %s\n", str); OPENSSL_free(str); // We could do all sorts of certificate verification stuff here before deallocating the certificate. X509_free(server_cert); */ printf("\n\n"); read(); // get initial IMAP greeting write("1 CAPABILITY\r\n"); // send 1st command read(); // get reply to cmd; server closes connection here write("2 LOGIN a b\r\n"); read(); SSL_shutdown(ssl); closesocket(sd); SSL_free(ssl); SSL_CTX_free(ctx); }

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  • Does my basic PHP Socket Server need optimization?

    - by Tom
    Like many people, I can do a lot of things with PHP. One problem I do face constantly is that other people can do it much cleaner, much more organized and much more structured. This also results in much faster execution times and much less bugs. I just finished writing a basic PHP Socket Server (the real core), and am asking you if you can tell me what I should do different before I start expanding the core. I'm not asking about improvements such as encrypted data, authentication or multi-threading. I'm more wondering about questions like "should I maybe do it in a more object oriented way (using PHP5)?", or "is the general structure of the way the script works good, or should some things be done different?". Basically, "is this how the core of a socket server should work?" In fact, I think that if I just show you the code here many of you will immediately see room for improvements. Please be so kind to tell me. Thanks! #!/usr/bin/php -q <? // config $timelimit = 180; // amount of seconds the server should run for, 0 = run indefintely $address = $_SERVER['SERVER_ADDR']; // the server's external IP $port = 9000; // the port to listen on $backlog = SOMAXCONN; // the maximum of backlog incoming connections that will be queued for processing // configure custom PHP settings error_reporting(1); // report all errors ini_set('display_errors', 1); // display all errors set_time_limit($timelimit); // timeout after x seconds ob_implicit_flush(); // results in a flush operation after every output call //create master IPv4 based TCP socket if (!($master = socket_create(AF_INET, SOCK_STREAM, SOL_TCP))) die("Could not create master socket, error: ".socket_strerror(socket_last_error())); // set socket options (local addresses can be reused) if (!socket_set_option($master, SOL_SOCKET, SO_REUSEADDR, 1)) die("Could not set socket options, error: ".socket_strerror(socket_last_error())); // bind to socket server if (!socket_bind($master, $address, $port)) die("Could not bind to socket server, error: ".socket_strerror(socket_last_error())); // start listening if (!socket_listen($master, $backlog)) die("Could not start listening to socket, error: ".socket_strerror(socket_last_error())); //display startup information echo "[".date('Y-m-d H:i:s')."] SERVER CREATED (MAXCONN: ".SOMAXCONN.").\n"; //max connections is a kernel variable and can be adjusted with sysctl echo "[".date('Y-m-d H:i:s')."] Listening on ".$address.":".$port.".\n"; $time = time(); //set startup timestamp // init read sockets array $read_sockets = array($master); // continuously handle incoming socket messages, or close if time limit has been reached while ((!$timelimit) or (time() - $time < $timelimit)) { $changed_sockets = $read_sockets; socket_select($changed_sockets, $write = null, $except = null, null); foreach($changed_sockets as $socket) { if ($socket == $master) { if (($client = socket_accept($master)) < 0) { echo "[".date('Y-m-d H:i:s')."] Socket_accept() failed, error: ".socket_strerror(socket_last_error())."\n"; continue; } else { array_push($read_sockets, $client); echo "[".date('Y-m-d H:i:s')."] Client #".count($read_sockets)." connected (connections: ".count($read_sockets)."/".SOMAXCONN.")\n"; } } else { $data = @socket_read($socket, 1024, PHP_NORMAL_READ); //read a maximum of 1024 bytes until a new line has been sent if ($data === false) { //the client disconnected $index = array_search($socket, $read_sockets); unset($read_sockets[$index]); socket_close($socket); echo "[".date('Y-m-d H:i:s')."] Client #".($index-1)." disconnected (connections: ".count($read_sockets)."/".SOMAXCONN.")\n"; } else { if ($data = trim($data)) { //remove whitespace and continue only if the message is not empty switch ($data) { case "exit": //close connection when exit command is given $index = array_search($socket, $read_sockets); unset($read_sockets[$index]); socket_close($socket); echo "[".date('Y-m-d H:i:s')."] Client #".($index-1)." disconnected (connections: ".count($read_sockets)."/".SOMAXCONN.")\n"; break; default: //for experimental purposes, write the given data back socket_write($socket, "\n you wrote: ".$data); } } } } } } socket_close($master); //close the socket echo "[".date('Y-m-d H:i:s')."] SERVER CLOSED.\n"; ?>

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  • How do I add "Press any key to boot from usb" when installing Windows from a flash drive? (Grub4dos question / how to remove a bootloader)

    - by Vincent
    Hi there! I've been struggling with this problem for a while now and finially decided to ask for help. Let me first explain what the main purpose of the app is: to provide the a very easy to use way of backing up files, after which I format the drive and start Windows 7 setup. I do this by booting WinPE, which runs a script to detect Windows installations and then opens a file browser. After the file browser is closed, the script continues and formats the drive that contains the Windows installation, and starts an unattended Windows 7 install. Now here is the problem: When you start Windows setup or WinPE from a dvd, you get a nice option to "Press any key to boot from DVD". This is to prevent the computer from booting the DVD when the first phase of the installation is complete and the computer reboots. However, when booting from a flash drive, Windows does not provide this option: it simply boots the flash drive every reboot. To replicate the "press any key" function, I installed Grub4Dos, which works great. It provides a small menu, the first standard item being "Continue installation", the second being "start installation". After quite a lot of tweaking, I got everything working: Start installation starts WinPE, which in turn starts the Windows installation. At first reboot, the Grub4Dos menu comes up, counts 5 seconds and boots the second stage of the installation. Here, I am greeted with the error: "Windows setup could not configure windows to run on this computer's hardware." When I boot into WinPE the normal way (put the bootmgr on the stick root) and change my bios to boot from the primary hdd after first reboot, I don't get this error. I've been looking around, and the only thing I could find was that the BIOS automatically names the boot device hd0, and that Windows can only be run / installed to hd 0. I'm not sure if this is the problem. I read about remapping to solve this problem, but to do that you have to know the phisical location of the hard drive and partition, like hd(0,1). I want this flash drive to work on any PC, regardless of where the OS is installed, so that's not really a possibility. A possible fix I thought of is removing the bootloader from the flash drive when I'm in WinPE. That way, when the pc reboots the BIOS will not see the flash drive as a boot drive and instead boot the primary hdd. I have yet to find a way to do this. Thank you for reading my question, and if you have any suggestion, please do.

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  • Use an Ubuntu Live CD to Securely Wipe Your PC’s Hard Drive

    - by Trevor Bekolay
    Deleting files or quickly formatting a drive isn’t enough for sensitive personal information. We’ll show you how to get rid of it for good using a Ubuntu Live CD. When you delete a file in Windows, Ubuntu, or any other operating system, it doesn’t actually destroy the data stored on your hard drive, it just marks that data as “deleted.” If you overwrite it later, then that data is generally unrecoverable, but if the operating system don’t happen to overwrite it, then your data is still stored on your hard drive, recoverable by anyone who has the right software. By securely delete files or entire hard drives, your data will be gone for good. Note: Modern hard drives are extremely sophisticated, as are the experts who recover data for a living. There is no guarantee that the methods covered in this article will make your data completely unrecoverable; however, they will make your data unrecoverable to the majority of recovery methods, and all methods that are readily available to the general public. Shred individual files Most of the data stored on your hard drive is harmless, and doesn’t reveal anything about you. If there are just a few files that you know you don’t want someone else to see, then the easiest way to get rid of them is a built-in Linux utility called shred. Open a terminal window by clicking on Applications at the top-left of the screen, then expanding the Accessories menu and clicking on Terminal. Navigate to the file that you want to delete using cd to change directories and ls to list the files and folders in the current directory. As an example, we’ve got a file called BankInfo.txt on a Windows NTFS-formatted hard drive. We want to delete it securely, so we’ll call shred by entering the following in the terminal window: shred <file> which is, in our example: shred BankInfo.txt Notice that our BankInfo.txt file still exists, even though we’ve shredded it. A quick look at the contents of BankInfo.txt make it obvious that the file has indeed been securely overwritten. We can use some command-line arguments to make shred delete the file from the hard drive as well. We can also be extra-careful about the shredding process by upping the number of times shred overwrites the original file. To do this, in the terminal, type in: shred –remove –iterations=<num> <file> By default, shred overwrites the file 25 times. We’ll double this, giving us the following command: shred –remove –iterations=50 BankInfo.txt BankInfo.txt has now been securely wiped on the physical disk, and also no longer shows up in the directory listing. Repeat this process for any sensitive files on your hard drive! Wipe entire hard drives If you’re disposing of an old hard drive, or giving it to someone else, then you might instead want to wipe your entire hard drive. shred can be invoked on hard drives, but on modern file systems, the shred process may be reversible. We’ll use the program wipe to securely delete all of the data on a hard drive. Unlike shred, wipe is not included in Ubuntu by default, so we have to install it. Open up the Synaptic Package Manager by clicking on System in the top-left corner of the screen, then expanding the Administration folder and clicking on Synaptic Package Manager. wipe is part of the Universe repository, which is not enabled by default. We’ll enable it by clicking on Settings > Repositories in the Synaptic Package Manager window. Check the checkbox next to “Community-maintained Open Source software (universe)”. Click Close. You’ll need to reload Synaptic’s package list. Click on the Reload button in the main Synaptic Package Manager window. Once the package list has been reloaded, the text over the search field will change to “Rebuilding search index”. Wait until it reads “Quick search,” and then type “wipe” into the search field. The wipe package should come up, along with some other packages that perform similar functions. Click on the checkbox to the left of the label “wipe” and select “Mark for Installation”. Click on the Apply button to start the installation process. Click the Apply button on the Summary window that pops up. Once the installation is done, click the Close button and close the Synaptic Package Manager window. Open a terminal window by clicking on Applications in the top-left of the screen, then Accessories > Terminal. You need to figure our the correct hard drive to wipe. If you wipe the wrong hard drive, that data will not be recoverable, so exercise caution! In the terminal window, type in: sudo fdisk -l A list of your hard drives will show up. A few factors will help you identify the right hard drive. One is the file system, found in the System column of  the list – Windows hard drives are usually formatted as NTFS (which shows up as HPFS/NTFS). Another good identifier is the size of the hard drive, which appears after its identifier (highlighted in the following screenshot). In our case, the hard drive we want to wipe is only around 1 GB large, and is formatted as NTFS. We make a note of the label found under the the Device column heading. If you have multiple partitions on this hard drive, then there will be more than one device in this list. The wipe developers recommend wiping each partition separately. To start the wiping process, type the following into the terminal: sudo wipe <device label> In our case, this is: sudo wipe /dev/sda1 Again, exercise caution – this is the point of no return! Your hard drive will be completely wiped. It may take some time to complete, depending on the size of the drive you’re wiping. Conclusion If you have sensitive information on your hard drive – and chances are you probably do – then it’s a good idea to securely delete sensitive files before you give away or dispose of your hard drive. The most secure way to delete your data is with a few swings of a hammer, but shred and wipe from a Ubuntu Live CD is a good alternative! Similar Articles Productive Geek Tips Reset Your Ubuntu Password Easily from the Live CDScan a Windows PC for Viruses from a Ubuntu Live CDRecover Deleted Files on an NTFS Hard Drive from a Ubuntu Live CDCreate a Bootable Ubuntu 9.10 USB Flash DriveCreate a Bootable Ubuntu USB Flash Drive the Easy Way TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips DVDFab 6 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 Office 2010 Product Guides Google Maps Place marks – Pizza, Guns or Strip Clubs Monitor Applications With Kiwi LocPDF is a Visual PDF Search Tool Download Free iPad Wallpapers at iPad Decor Get Your Delicious Bookmarks In Firefox’s Awesome Bar

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  • Keeping track of File System Utilization in Ops Center 12c

    - by S Stelting
    Enterprise Manager Ops Center 12c provides significant monitoring capabilities, combined with very flexible incident management. These capabilities even extend to monitoring the file systems associated with Solaris or Linux assets. Depending on your needs you can monitor and manage incidents, or you can fine tune alert monitoring rules to specific file systems. This article will show you how to use Ops Center 12c to Track file system utilization Adjust file system monitoring rules Disable file system rules Create custom monitoring rules If you're interested in this topic, please join us for a WebEx presentation! Date: Thursday, November 8, 2012 Time: 11:00 am, Eastern Standard Time (New York, GMT-05:00) Meeting Number: 598 796 842 Meeting Password: oracle123 To join the online meeting ------------------------------------------------------- 1. Go to https://oracleconferencing.webex.com/oracleconferencing/j.php?ED=209833597&UID=1512095432&PW=NOWQ3YjJlMmYy&RT=MiMxMQ%3D%3D 2. If requested, enter your name and email address. 3. If a password is required, enter the meeting password: oracle123 4. Click "Join". To view in other time zones or languages, please click the link: https://oracleconferencing.webex.com/oracleconferencing/j.php?ED=209833597&UID=1512095432&PW=NOWQ3YjJlMmYy&ORT=MiMxMQ%3D%3D   Monitoring File Systems for OS Assets The Libraries tab provides basic, device-level information about the storage associated with an OS instance. This tab shows you the local file system associated with the instance and any shared storage libraries mounted by Ops Center. More detailed information about file system storage is available under the Analytics tab under the sub-tab named Charts. Here, you can select and display the individual mount points of an OS, and export the utilization data if desired: In this example, the OS instance has a basic root file partition and several NFS directories. Each file system mount point can be independently chosen for display in the Ops Center chart. File Systems and Incident  Reporting Every asset managed by Ops Center has a "monitoring policy", which determines what represents a reportable issue with the asset. The policy is made up of a bunch of monitoring rules, where each rule describes An attribute to monitor The conditions which represent an issue The level or levels of severity for the issue When the conditions are met, Ops Center sends a notification and creates an incident. By default, OS instances have three monitoring rules associated with file systems: File System Reachability: Triggers an incident if a file system is not reachable NAS Library Status: Triggers an incident for a value of "WARNING" or "DEGRADED" for a NAS-based file system File System Used Space Percentage: Triggers an incident when file system utilization grows beyond defined thresholds You can view these rules in the Monitoring tab for an OS: Of course, the default monitoring rules is that they apply to every file system associated with an OS instance. As a result, any issue with NAS accessibility or disk utilization will trigger an incident. This can cause incidents for file systems to be reported multiple times if the same shared storage is used by many assets, as shown in this screen shot: Depending on the level of control you'd like, there are a number of ways to fine tune incident reporting. Note that any changes to an asset's monitoring policy will detach it from the default, creating a new monitoring policy for the asset. If you'd like, you can extract a monitoring policy from an asset, which allows you to save it and apply the customized monitoring profile to other OS assets. Solution #1: Modify the Reporting Thresholds In some cases, you may want to modify the basic conditions for incident reporting in your file system. The changes you make to a default monitoring rule will apply to all of the file systems associated with your operating system. Selecting the File Systems Used Space Percentage entry and clicking the "Edit Alert Monitoring Rule Parameters" button opens a pop-up dialog which allows you to modify the rule. The first screen lets you decide when you will check for file system usage, and how long you will wait before opening an incident in Ops Center. By default, Ops Center monitors continuously and reports disk utilization issues which exist for more than 15 minutes. The second screen lets you define actual threshold values. By default, Ops Center opens a Warning level incident is utilization rises above 80%, and a Critical level incident for utilization above 95% Solution #2: Disable Incident Reporting for File System If you'd rather not report file system incidents, you can disable the monitoring rules altogether. In this case, you can select the monitoring rules and click the "Disable Alert Monitoring Rule(s)" button to open the pop-up confirmation dialog. Like the first solution, this option affects all file system monitoring. It allows you to completely disable incident reporting for NAS library status or file system space consumption. Solution #3: Create New Monitoring Rules for Specific File Systems If you'd like to have the greatest flexibility when monitoring file systems, you can create entirely new rules. Clicking the "Add Alert Monitoring Rule" (the icon with the green plus sign) opens a wizard which allows you to define a new rule.  This rule will be based on a threshold, and will be used to monitor operating system assets. We'd like to add a rule to track disk utilization for a specific file system - the /nfs-guest directory. To do this, we specify the following attribute FileSystemUsages.name=/nfs-guest.usedSpacePercentage The value of name in the attribute allows us to define a specific NFS shared directory or file system... in the case of this OS, we could have chosen any of the values shown in the File Systems Utilization chart at the beginning of this article. usedSpacePercentage lets us define a threshold based on the percentage of total disk space used. There are a number of other values that we could use for threshold-based monitoring of FileSystemUsages, including freeSpace freeSpacePercentage totalSpace usedSpace usedSpacePercentage The final sections of the screen allow us to determine when to monitor for disk usage, and how long to wait after utilization reaches a threshold before creating an incident. The next screen lets us define the threshold values and severity levels for the monitoring rule: If historical data is available, Ops Center will display it in the screen. Clicking the Apply button will create the new monitoring rule and active it in your monitoring policy. If you combine this with one of the previous solutions, you can precisely define which file systems will generate incidents and notifications. For example, this monitoring policy has the default "File System Used Space Percentage" rule disabled, but the new rule reports ONLY on utilization for the /nfs-guest directory. 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  • Is Berkeley DB a NoSQL solution?

    - by Gregory Burd
    Berkeley DB is a library. To use it to store data you must link the library into your application. You can use most programming languages to access the API, the calls across these APIs generally mimic the Berkeley DB C-API which makes perfect sense because Berkeley DB is written in C. The inspiration for Berkeley DB was the DBM library, a part of the earliest versions of UNIX written by AT&T's Ken Thompson in 1979. DBM was a simple key/value hashtable-based storage library. In the early 1990s as BSD UNIX was transitioning from version 4.3 to 4.4 and retrofitting commercial code owned by AT&T with unencumbered code, it was the future founders of Sleepycat Software who wrote libdb (aka Berkeley DB) as the replacement for DBM. The problem it addressed was fast, reliable local key/value storage. At that time databases almost always lived on a single node, even the most sophisticated databases only had simple fail-over two node solutions. If you had a lot of data to store you would choose between the few commercial RDBMS solutions or to write your own custom solution. Berkeley DB took the headache out of the custom approach. These basic market forces inspired other DBM implementations. There was the "New DBM" (ndbm) and the "GNU DBM" (GDBM) and a few others, but the theme was the same. Even today TokyoCabinet calls itself "a modern implementation of DBM" mimicking, and improving on, something first created over thirty years ago. In the mid-1990s, DBM was the name for what you needed if you were looking for fast, reliable local storage. Fast forward to today. What's changed? Systems are connected over fast, very reliable networks. Disks are cheep, fast, and capable of storing huge amounts of data. CPUs continued to follow Moore's Law, processing power that filled a room in 1990 now fits in your pocket. PCs, servers, and other computers proliferated both in business and the personal markets. In addition to the new hardware entire markets, social systems, and new modes of interpersonal communication moved onto the web and started evolving rapidly. These changes cause a massive explosion of data and a need to analyze and understand that data. Taken together this resulted in an entirely different landscape for database storage, new solutions were needed. A number of novel solutions stepped up and eventually a category called NoSQL emerged. The new market forces inspired the CAP theorem and the heated debate of BASE vs. ACID. But in essence this was simply the market looking at what to trade off to meet these new demands. These new database systems shared many qualities in common. There were designed to address massive amounts of data, millions of requests per second, and scale out across multiple systems. The first large-scale and successful solution was Dynamo, Amazon's distributed key/value database. Dynamo essentially took the next logical step and added a twist. Dynamo was to be the database of record, it would be distributed, data would be partitioned across many nodes, and it would tolerate failure by avoiding single points of failure. Amazon did this because they recognized that the majority of the dynamic content they provided to customers visiting their web store front didn't require the services of an RDBMS. The queries were simple, key/value look-ups or simple range queries with only a few queries that required more complex joins. They set about to use relational technology only in places where it was the best solution for the task, places like accounting and order fulfillment, but not in the myriad of other situations. The success of Dynamo, and it's design, inspired the next generation of Non-SQL, distributed database solutions including Cassandra, Riak and Voldemort. The problem their designers set out to solve was, "reliability at massive scale" so the first focal point was distributed database algorithms. Underneath Dynamo there is a local transactional database; either Berkeley DB, Berkeley DB Java Edition, MySQL or an in-memory key/value data structure. Dynamo was an evolution of local key/value storage onto networks. Cassandra, Riak, and Voldemort all faced similar design decisions and one, Voldemort, choose Berkeley DB Java Edition for it's node-local storage. Riak at first was entirely in-memory, but has recently added write-once, append-only log-based on-disk storage similar type of storage as Berkeley DB except that it is based on a hash table which must reside entirely in-memory rather than a btree which can live in-memory or on disk. Berkeley DB evolved too, we added high availability (HA) and a replication manager that makes it easy to setup replica groups. Berkeley DB's replication doesn't partitioned the data, every node keeps an entire copy of the database. For consistency, there is a single node where writes are committed first - a master - then those changes are delivered to the replica nodes as log records. Applications can choose to wait until all nodes are consistent, or fire and forget allowing Berkeley DB to eventually become consistent. Berkeley DB's HA scales-out quite well for read-intensive applications and also effectively eliminates the central point of failure by allowing replica nodes to be elected (using a PAXOS algorithm) to mastership if the master should fail. This implementation covers a wide variety of use cases. MemcacheDB is a server that implements the Memcache network protocol but uses Berkeley DB for storage and HA to replicate the cache state across all the nodes in the cache group. Google Accounts, the user authentication layer for all Google properties, was until recently running Berkeley DB HA. That scaled to a globally distributed system. That said, most NoSQL solutions try to partition (shard) data across nodes in the replication group and some allow writes as well as reads at any node, Berkeley DB HA does not. So, is Berkeley DB a "NoSQL" solution? Not really, but it certainly is a component of many of the existing NoSQL solutions out there. Forgetting all the noise about how NoSQL solutions are complex distributed databases when you boil them down to a single node you still have to store the data to some form of stable local storage. DBMs solved that problem a long time ago. NoSQL has more to do with the layers on top of the DBM; the distributed, sometimes-consistent, partitioned, scale-out storage that manage key/value or document sets and generally have some form of simple HTTP/REST-style network API. Does Berkeley DB do that? Not really. Is Berkeley DB a "NoSQL" solution today? Nope, but it's the most robust solution on which to build such a system. Re-inventing the node-local data storage isn't easy. A lot of people are starting to come to appreciate the sophisticated features found in Berkeley DB, even mimic them in some cases. Could Berkeley DB grow into a NoSQL solution? Absolutely. Our key/value API could be extended over the net using any of a number of existing network protocols such as memcache or HTTP/REST. We could adapt our node-local data partitioning out over replicated nodes. We even have a nice query language and cost-based query optimizer in our BDB XML product that we could reuse were we to build out a document-based NoSQL-style product. XML and JSON are not so different that we couldn't adapt one to work with the other interchangeably. Without too much effort we could add what's missing, we could jump into this No SQL market withing a single product development cycle. Why isn't Berkeley DB already a NoSQL solution? Why aren't we working on it? Why indeed...

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  • Company Review: Google Products

    Google, Inc offers an array of products and services to all of its end-users. However their search capabilities are the foundation for Google’s current success and their primary business focus. Currently, Google offers over twenty different search applications that allow users to search the internet for books, maps, videos, images, products and much more. Their product decisions have allowed users demands to be met while focusing on the free based model. This allows users to access Google data free of charge and indirectly gives Google a strong competitive advantage of other competitors along with the accuracy of the search results. According to Google, Inc, they offer the following types of searching capabilities: Alerts Get email updates on the topics of your choice Blog Search Find blogs on your favorite topics  Books Search the full text of books  Custom Search Create a customized search experience for your community  Desktop Search and personalize your computer  Dictionary Search for definitions of words and phrases Directory Search the web, organized by topic or category Earth Explore the world from your computer Finance Business info, news and interactive charts GOOG-411 Find and connect for free with businesses from your phone  Images Search for images on the web Maps View maps and directions News Search thousands of news stories Patent Search Search the full text of US Patents Product Search Search for stuff to buy Scholar Search scholarly papers Toolbar Add a search box to your browser Trends Explore past and present search trends Videos Search for videos on the web Web Search Search billions of web pages Web Search Features Find movies, music, stocks, books and more mapping Google’s free based business model is only one way it differentiates itself from its competition. There is also a strong focus on the accuracy of search results and the speed in which they are returned to the end-user. Quality function deployment (QFD) is a structured method used to help connect user needs to the design features of a project proposed to address those needs. This method is particularly useful in accounting for needs that are not easily articulated or precisely defined according to the U. S. Department of Transportation Federal Highway Administration. Due to the fact that QFD is so customer driven Google is always in a constant state of change in attempt to reengineer its search algorithms, and other dependant systems so that end-users requirements are constantly being met. Value engineering is a key example of this, Google is constantly trying to improve all aspects of its products, improve system maintainability, and system interoperability. Bridgefield Group defines value engineering as an organized methodology that identifies and selects the lowest lifecycle cost options in design, materials and processes that achieves the desired level of performance, reliability and customer satisfaction. In addition, it seeks to remove unnecessary costs in the above areas and is often a joint effort with cross-functional internal teams and relevant suppliers. Common issues that appear when developing large scale systems like Google’s search applications include modular design of a product and/or service and providing accurate value analysis. A design approach that adheres to four fundamental tenets of cohesiveness, encapsulation, self-containment, and high binding to design a system component as an independently operable unit subject to change is how the Open System Joint Task Force defines modular design. More specifically M. S. Schmaltz defines modular software design as having a large collection of statements strung together in one partition of in-line code; we segment or divide the statements into logical groups called modules. Each module performs one or two tasks, and then passes control to another module. By breaking up the code into "bite-sized chunks", so to speak, we are able to better control the flow of data and control. This is especially true in large software systems. Value analysis is a process to evaluate products and services based on effectiveness, safety, and cost. Value analysis involves assessing the quality as well as the cost of a product or service as defined by the Healthcare Financial Management Association.  “Operations Management deals with the design and management of products, processes, services and supply chains. It considers the acquisition, development, and utilization of resources that firms need to deliver the goods and services their clients want.” (MIT,2010) Google, Inc encourages an open environment between all employees, also known as Googlers. This is reinforced by a cross-section team or cross-functional teams comprised from multiple departments assigned to every project so that every department like marketing, finance, and quality assurance has input on every project. In addition, Google is known for their openness to new ideas regardless of the status or seniority of an employee. In fact, Google allows for 20% of an employee’s time can be devoted to developing new ideas and/or pet projects. HumTech.com defines a cross-functional team as a collection of people with varied levels of skills and experience brought together to accomplish a task. As the name implies, Cross-Functional Team members come from different organizational units. Cross-Functional Teams may be permanent or ad hoc. Google’s search application product strategy primarily focuses on mass customization. This is allows Google to create a base search application and allows results to be returned to the end-users quickly based on specific parameters and search settings. In addition, they also store the data that is returned in case other desire the same results based on other end-users supplying the same customized settings. This allows Google to appear to render search results in virtually real-time to the user while allowing for complete customization of the searching criteria. Greg Vogl, a professor at Uganda Martyrs University, defines mass customization as when a business gives its customers the opportunity to tailor its products or services to the customer's specifications. The IT staff at Google play a key role in ensuring that the search application’s product strategy is maintained simply because the IT staff designs, develops, and maintains all of their proprietary applications. In fact, they also maintain all network infrastructure to ensure that it is available to all end-users. References: http://www.google.com/intl/en/options/ http://ops.fhwa.dot.gov/freight/publications/ftat_user_guide/sec5.htm http://www.bridgefieldgroup.com/bridgefieldgroup/glos9.htm#V http://www.acq.osd.mil/osjtf/termsdef.html http://www.cise.ufl.edu/~mssz/Pascal-CGS2462/prog-dsn.html http://www.hfma.org/publications/business_caring_newsletter/exclusives/Supply+and+Inventory+Terms+Defined.htm http://mitsloan.mit.edu/omg/om-definition.php http://www.humtech.com/opm/grtl/ols/ols3.cfm http://www.gregvogl.net/courses/mis1/glossary.htm

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  • Help me solve my problem with NPR Media Player

    - by Calcipher
    First of, let me apologize for this getting a bit technical. Several weeks ago, I found that while using NPR's media player (e.g. click on 'Listen to the Show' - this is what I've been using as a test) the stream would suddenly halt after a minute or three. I could not get the stream to restart without reloading the page. Now, I assumed this was an issue with NPR's player and Linux (or just a bug in their stuff in general) so I began to dig, the following is what I have tried to date (please note, the tldr; option is to skip to the latest thing as I think I know what is causing the problem). Note: All testing has been done, for consistency purposes, on a clean install of Chromium with no pluggins running. My machine is Ubuntu 10.10x64. First thing I always try, I disabled all firewall stuff on the system (UFW, default deny all, allow ssh). No change, firewall back up for all additional tests unless otherwise noted. In any case, UFW is stateful, so connections it started on a non-specified on different ports will continue to work. I deleted my ~/.macromeda and ~/.adobe folders, restarted (just to be sure) and tried. Program still froze. I decided the problem might be with my install of flash, so I purged the version I had (and the home folders again). I installed the x64 version of flash from a PPA. This had no effect. I decided that the problem might be with the version of flash, so I purged the x64 version and installed the standard x32 version that comes with Ubuntu. No luck. Back to the x64 version for consistency, I decided to set up a 64-bit mini 'clone' of my system in VirtualBox. I was able to run the media player with no problem. I rsynced (in archive mode) my home directory from my real machine to the virtual machine (with bridged networking, so it was fully visible on the network). I also used a few tricks to install ALL of the same software (and repositories) from the real machine to the virtual machine. I was still able to listen to the player. I decided that the problem was with my install (after all, it had gone through two major version upgrades). As I have /home/ on a separate partition it was easy to reinstall and use the same trick from #6 to have my system up and running again within about an hour. I continue to have issues with the NPR Media Player. By this point the weekend had come. At work, I use a wired connection while at home I use a wireless connection. For some reason I forgot that I was having problems and used the NPR Media Player over the weekend. Low and behold it worked just fine at home on wireless (note: for various reasons, I could not test this on wired at home). Following from #6, I decided that the problem was either something with the network at work or still something with my account. As the latter was easier to test, I created a new account on my system and used that at work. The Media Player worked. At a loss, I decided to watch the traffic with tshark (the text based brother of wireshark) - X's to protect the innocent, I am the XXX.24.200.XXX: sudo tshark -i eth0 -p -t a -R "ip.addr == XXX.24.200.XXX && ip.addr == XXX.166.98.XXX" As you would expect, there were tons and tons of packets, but each and every time the player froze, this is what I got 08:42:20.679200 XXX.166.98.XXX - XXX.24.200.XXX TCP macromedia-fcs 56371 [PSH, ACK] Seq=817686 Ack=6 Win=65535 Len=1448 TSV=495713325 TSER=396467 08:42:20.718602 XXX.24.200.XXX - XXX.166.98.XXX TCP [TCP ZeroWindow] 56371 macromedia-fcs [ACK] Seq=6 Ack=819134 Win=0 Len=0 TSV=396475 TSER=495713325 08:42:21.050183 XXX.166.98.XXX - XXX.24.200.XXX TCP [TCP ZeroWindowProbe] macromedia-fcs 56371 [ACK] Seq=819134 Ack=6 Win=65535 Len=1 TSV=495713362 TSER=396475 08:42:21.050221 XXX.24.200.XXX - XXX.166.98.XXX TCP [TCP ZeroWindowProbeAck] [TCP ZeroWindow] 56371 macromedia-fcs [ACK] Seq=6 Ack=819134 Win=0 Len=0 TSV=396508 TSER=495713362 08:42:21.680548 XXX.166.98.XXX - XXX.24.200.XXX TCP [TCP ZeroWindowProbe] macromedia-fcs 56371 [ACK] Seq=819134 Ack=6 Win=65535 Len=1 TSV=495713425 TSER=396508 08:42:21.680605 XXX.24.200.XXX - XXX.166.98.XXX TCP [TCP ZeroWindowProbeAck] [TCP ZeroWindow] 56371 macromedia-fcs [ACK] Seq=6 Ack=819134 Win=0 Len=0 TSV=396571 TSER=495713425 08:42:22.910354 XXX.166.98.XXX - XXX.24.200.XXX TCP [TCP ZeroWindowProbe] macromedia-fcs 56371 [ACK] Seq=819134 Ack=6 Win=65535 Len=1 TSV=495713548 TSER=396571 08:42:22.910400 XXX.24.200.XXX - XXX.166.98.XXX TCP [TCP ZeroWindowProbeAck] [TCP ZeroWindow] 56371 macromedia-fcs [ACK] Seq=6 Ack=819134 Win=0 Len=0 TSV=396694 TSER=495713548 08:42:25.340458 XXX.166.98.XXX - XXX.24.200.XXX TCP [TCP ZeroWindowProbe] macromedia-fcs 56371 [ACK] Seq=819134 Ack=6 Win=65535 Len=1 TSV=495713791 TSER=396694 08:42:25.340517 XXX.24.200.XXX - XXX.166.98.XXX TCP [TCP ZeroWindowProbeAck] [TCP ZeroWindow] 56371 macromedia-fcs [ACK] Seq=6 Ack=819134 Win=0 Len=0 TSV=396937 TSER=495713791 08:42:30.170698 XXX.166.98.XXX - XXX.24.200.XXX TCP [TCP ZeroWindowProbe] macromedia-fcs 56371 [ACK] Seq=819134 Ack=6 Win=65535 Len=1 TSV=495714274 TSER=396937 08:42:30.170746 XXX.24.200.XXX - XXX.166.98.XXX TCP [TCP ZeroWindowProbeAck] [TCP ZeroWindow] 56371 macromedia-fcs [ACK] Seq=6 Ack=819134 Win=0 Len=0 TSV=397420 TSER=495714274 08:42:39.801738 XXX.166.98.XXX - XXX.24.200.XXX TCP [TCP ZeroWindowProbe] macromedia-fcs 56371 [ACK] Seq=819134 Ack=6 Win=65535 Len=1 TSV=495715237 TSER=397420 08:42:39.801784 XXX.24.200.XXX - XXX.166.98.XXX TCP [TCP ZeroWindowProbeAck] [TCP ZeroWindow] 56371 macromedia-fcs [ACK] Seq=6 Ack=819134 Win=0 Len=0 TSV=398383 TSER=495715237 08:42:59.032648 XXX.166.98.XXX - XXX.24.200.XXX TCP [TCP ZeroWindowProbe] macromedia-fcs 56371 [ACK] Seq=819134 Ack=6 Win=65535 Len=1 TSV=495717160 TSER=398383 08:42:59.032696 XXX.24.200.XXX - XXX.166.98.XXX TCP [TCP ZeroWindowProbeAck] [TCP ZeroWindow] 56371 macromedia-fcs [ACK] Seq=6 Ack=819134 Win=0 Len=0 TSV=400306 TSER=495717160 08:43:00.267721 XXX.24.200.XXX - XXX.166.98.XXX TCP 56371 macromedia-fcs [FIN, ACK] Seq=6 Ack=819134 Win=0 Len=0 TSV=400430 TSER=495717160 08:43:00.267827 XXX.24.200.XXX - XXX.166.98.XXX TCP 56371 macromedia-fcs [RST, ACK] Seq=7 Ack=819134 Win=65535 Len=0 TSV=400430 TSER=495717160 So, as you can see, my machine is sending out a ZeroWindow packet (which I think means some buffer or another filled up) which causes the Media Player to halt (unfortunately, terminally - no controls on it really do anything anymore). Any ideas, at all, what would cause this? Why only on eth0 under my main account?

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  • MySQL Cluster 7.2: Over 8x Higher Performance than Cluster 7.1

    - by Mat Keep
    0 0 1 893 5092 Homework 42 11 5974 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} Summary The scalability enhancements delivered by extensions to multi-threaded data nodes enables MySQL Cluster 7.2 to deliver over 8x higher performance than the previous MySQL Cluster 7.1 release on a recent benchmark What’s New in MySQL Cluster 7.2 MySQL Cluster 7.2 was released as GA (Generally Available) in February 2012, delivering many enhancements to performance on complex queries, new NoSQL Key / Value API, cross-data center replication and ease-of-use. These enhancements are summarized in the Figure below, and detailed in the MySQL Cluster New Features whitepaper Figure 1: Next Generation Web Services, Cross Data Center Replication and Ease-of-Use Once of the key enhancements delivered in MySQL Cluster 7.2 is extensions made to the multi-threading processes of the data nodes. Multi-Threaded Data Node Extensions The MySQL Cluster 7.2 data node is now functionally divided into seven thread types: 1) Local Data Manager threads (ldm). Note – these are sometimes also called LQH threads. 2) Transaction Coordinator threads (tc) 3) Asynchronous Replication threads (rep) 4) Schema Management threads (main) 5) Network receiver threads (recv) 6) Network send threads (send) 7) IO threads Each of these thread types are discussed in more detail below. MySQL Cluster 7.2 increases the maximum number of LDM threads from 4 to 16. The LDM contains the actual data, which means that when using 16 threads the data is more heavily partitioned (this is automatic in MySQL Cluster). Each LDM thread maintains its own set of data partitions, index partitions and REDO log. The number of LDM partitions per data node is not dynamically configurable, but it is possible, however, to map more than one partition onto each LDM thread, providing flexibility in modifying the number of LDM threads. The TC domain stores the state of in-flight transactions. This means that every new transaction can easily be assigned to a new TC thread. Testing has shown that in most cases 1 TC thread per 2 LDM threads is sufficient, and in many cases even 1 TC thread per 4 LDM threads is also acceptable. Testing also demonstrated that in some instances where the workload needed to sustain very high update loads it is necessary to configure 3 to 4 TC threads per 4 LDM threads. In the previous MySQL Cluster 7.1 release, only one TC thread was available. This limit has been increased to 16 TC threads in MySQL Cluster 7.2. The TC domain also manages the Adaptive Query Localization functionality introduced in MySQL Cluster 7.2 that significantly enhanced complex query performance by pushing JOIN operations down to the data nodes. Asynchronous Replication was separated into its own thread with the release of MySQL Cluster 7.1, and has not been modified in the latest 7.2 release. To scale the number of TC threads, it was necessary to separate the Schema Management domain from the TC domain. The schema management thread has little load, so is implemented with a single thread. The Network receiver domain was bound to 1 thread in MySQL Cluster 7.1. With the increase of threads in MySQL Cluster 7.2 it is also necessary to increase the number of recv threads to 8. This enables each receive thread to service one or more sockets used to communicate with other nodes the Cluster. The Network send thread is a new thread type introduced in MySQL Cluster 7.2. Previously other threads handled the sending operations themselves, which can provide for lower latency. To achieve highest throughput however, it has been necessary to create dedicated send threads, of which 8 can be configured. It is still possible to configure MySQL Cluster 7.2 to a legacy mode that does not use any of the send threads – useful for those workloads that are most sensitive to latency. The IO Thread is the final thread type and there have been no changes to this domain in MySQL Cluster 7.2. Multiple IO threads were already available, which could be configured to either one thread per open file, or to a fixed number of IO threads that handle the IO traffic. Except when using compression on disk, the IO threads typically have a very light load. Benchmarking the Scalability Enhancements The scalability enhancements discussed above have made it possible to scale CPU usage of each data node to more than 5x of that possible in MySQL Cluster 7.1. In addition, a number of bottlenecks have been removed, making it possible to scale data node performance by even more than 5x. Figure 2: MySQL Cluster 7.2 Delivers 8.4x Higher Performance than 7.1 The flexAsynch benchmark was used to compare MySQL Cluster 7.2 performance to 7.1 across an 8-node Intel Xeon x5670-based cluster of dual socket commodity servers (6 cores each). As the results demonstrate, MySQL Cluster 7.2 delivers over 8x higher performance per data nodes than MySQL Cluster 7.1. More details of this and other benchmarks will be published in a new whitepaper – coming soon, so stay tuned! In a following blog post, I’ll provide recommendations on optimum thread configurations for different types of server processor. You can also learn more from the Best Practices Guide to Optimizing Performance of MySQL Cluster Conclusion MySQL Cluster has achieved a range of impressive benchmark results, and set in context with the previous 7.1 release, is able to deliver over 8x higher performance per node. As a result, the multi-threaded data node extensions not only serve to increase performance of MySQL Cluster, they also enable users to achieve significantly improved levels of utilization from current and future generations of massively multi-core, multi-thread processor designs.

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  • Combination of Operating Mode and Commit Strategy

    - by Kevin Yang
    If you want to populate a source into multiple targets, you may also want to ensure that every row from the source affects all targets uniformly (or separately). Let’s consider the Example Mapping below. If a row from SOURCE causes different changes in multiple targets (TARGET_1, TARGET_2 and TARGET_3), for example, it can be successfully inserted into TARGET_1 and TARGET_3, but failed to be inserted into TARGET_2, and the current Mapping Property TLO (target load order) is “TARGET_1 -> TARGET_2 -> TARGET_3”. What should Oracle Warehouse Builder do, in order to commit the appropriate data to all affected targets at the same time? If it doesn’t behave as you intended, the data could become inaccurate and possibly unusable.                                               Example Mapping In OWB, we can use Mapping Configuration Commit Strategies and Operating Modes together to achieve this kind of requirements. Below we will explore the combination of these two features and how they affect the results in the target tables Before going to the example, let’s review some of the terms we will be using (Details can be found in white paper Oracle® Warehouse Builder Data Modeling, ETL, and Data Quality Guide11g Release 2): Operating Modes: Set-Based Mode: Warehouse Builder generates a single SQL statement that processes all data and performs all operations. Row-Based Mode: Warehouse Builder generates statements that process data row by row. The select statement is in a SQL cursor. All subsequent statements are PL/SQL. Row-Based (Target Only) Mode: Warehouse Builder generates a cursor select statement and attempts to include as many operations as possible in the cursor. For each target, Warehouse Builder inserts each row into the target separately. Commit Strategies: Automatic: Warehouse Builder loads and then automatically commits data based on the mapping design. If the mapping has multiple targets, Warehouse Builder commits and rolls back each target separately and independently of other targets. Use the automatic commit when the consequences of multiple targets being loaded unequally are not great or are irrelevant. Automatic correlated: It is a specialized type of automatic commit that applies to PL/SQL mappings with multiple targets only. Warehouse Builder considers all targets collectively and commits or rolls back data uniformly across all targets. Use the correlated commit when it is important to ensure that every row in the source affects all affected targets uniformly. Manual: select manual commit control for PL/SQL mappings when you want to interject complex business logic, perform validations, or run other mappings before committing data. Combination of the commit strategy and operating mode To understand the effects of each combination of operating mode and commit strategy, I’ll illustrate using the following example Mapping. Firstly we insert 100 rows into the SOURCE table and make sure that the 99th row and 100th row have the same ID value. And then we create a unique key constraint on ID column for TARGET_2 table. So while running the example mapping, OWB tries to load all 100 rows to each of the targets. But the mapping should fail to load the 100th row to TARGET_2, because it will violate the unique key constraint of table TARGET_2. With different combinations of Commit Strategy and Operating Mode, here are the results ¦ Set-based/ Correlated Commit: Configuration of Example mapping:                                                     Result:                                                      What’s happening: A single error anywhere in the mapping triggers the rollback of all data. OWB encounters the error inserting into Target_2, it reports an error for the table and does not load the row. OWB rolls back all the rows inserted into Target_1 and does not attempt to load rows to Target_3. No rows are added to any of the target tables. ¦ Row-based/ Correlated Commit: Configuration of Example mapping:                                                   Result:                                                  What’s happening: OWB evaluates each row separately and loads it to all three targets. Loading continues in this way until OWB encounters an error loading row 100th to Target_2. OWB reports the error and does not load the row. It rolls back the row 100th previously inserted into Target_1 and does not attempt to load row 100 to Target_3. Then, if there are remaining rows, OWB will continue loading them, resuming with loading rows to Target_1. The mapping completes with 99 rows inserted into each target. ¦ Set-based/ Automatic Commit: Configuration of Example mapping: Result: What’s happening: When OWB encounters the error inserting into Target_2, it does not load any rows and reports an error for the table. It does, however, continue to insert rows into Target_3 and does not roll back the rows previously inserted into Target_1. The mapping completes with one error message for Target_2, no rows inserted into Target_2, and 100 rows inserted into Target_1 and Target_3 separately. ¦ Row-based/Automatic Commit: Configuration of Example mapping: Result: What’s happening: OWB evaluates each row separately for loading into the targets. Loading continues in this way until OWB encounters an error loading row 100 to Target_2 and reports the error. OWB does not roll back row 100th from Target_1, does insert it into Target_3. If there are remaining rows, it will continue to load them. The mapping completes with 99 rows inserted into Target_2 and 100 rows inserted into each of the other targets. Note: Automatic Correlated commit is not applicable for row-based (target only). If you design a mapping with the row-based (target only) and correlated commit combination, OWB runs the mapping but does not perform the correlated commit. In set-based mode, correlated commit may impact the size of your rollback segments. Space for rollback segments may be a concern when you merge data (insert/update or update/insert). Correlated commit operates transparently with PL/SQL bulk processing code. The correlated commit strategy is not available for mappings run in any mode that are configured for Partition Exchange Loading or that include a Queue, Match Merge, or Table Function operator. If you want to practice in your own environment, you can follow the steps: 1. Import the MDL file: commit_operating_mode.mdl 2. Fix the location for oracle module ORCL and deploy all tables under it. 3. Insert sample records into SOURCE table, using below plsql code: begin     for i in 1..99     loop         insert into source values(i, 'col_'||i);     end loop;     insert into source values(99, 'col_99'); end; 4. Configure MAPPING_1 to any combinations of operating mode and commit strategy you want to test. And make sure feature TLO of mapping is open. 5. Deploy Mapping “MAPPING_1”. 6. Run the mapping and check the result.

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  • External usb 3.0 hard drive is not recognised when plugged into usb 3 port (ubuntu natty 64 bit).

    - by kimangroo
    I have an Iomega Prestige Portable External Hard Drive 1TB USB 3.0. It works fine on windows 7 as a usb 3.0 drive. It isn't detected on ubuntu natty 64bit, 2.6.38-8-generic. fdisk -l cannot see it at all: Disk /dev/sda: 500.1 GB, 500107862016 bytes 255 heads, 63 sectors/track, 60801 cylinders Units = cylinders of 16065 * 512 = 8225280 bytes Sector size (logical/physical): 512 bytes / 512 bytes I/O size (minimum/optimal): 512 bytes / 512 bytes Disk identifier: 0x1bed746b Device Boot Start End Blocks Id System /dev/sda1 1 1689 13560832 27 Unknown /dev/sda2 * 1689 1702 102400 7 HPFS/NTFS /dev/sda3 1702 19978 146805760 7 HPFS/NTFS /dev/sda4 19978 60802 327914497 5 Extended /dev/sda5 25555 60802 283120640 7 HPFS/NTFS /dev/sda6 19978 23909 31571968 83 Linux /dev/sda7 23909 25555 13218816 82 Linux swap / Solaris Partition table entries are not in disk order lsusb can see it: Bus 003 Device 003: ID 059b:0070 Iomega Corp. Bus 003 Device 001: ID 1d6b:0003 Linux Foundation 3.0 root hub Bus 002 Device 004: ID 05fe:0011 Chic Technology Corp. Browser Mouse Bus 002 Device 003: ID 0a12:0001 Cambridge Silicon Radio, Ltd Bluetooth Dongle (HCI mode) Bus 002 Device 002: ID 8087:0024 Intel Corp. Integrated Rate Matching Hub Bus 002 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 001 Device 005: ID 0489:e00f Foxconn / Hon Hai Bus 001 Device 004: ID 0c45:64b5 Microdia Bus 001 Device 003: ID 08ff:168f AuthenTec, Inc. Bus 001 Device 002: ID 8087:0024 Intel Corp. Integrated Rate Matching Hub Bus 001 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub And dmesg | grep -i xhci (I may have unplugged the drive and plugged it back in again after booting): [ 1.659060] pci 0000:04:00.0: xHCI HW did not halt within 2000 usec status = 0x0 [ 11.484971] xhci_hcd 0000:04:00.0: PCI INT A -> GSI 18 (level, low) -> IRQ 18 [ 11.484997] xhci_hcd 0000:04:00.0: setting latency timer to 64 [ 11.485002] xhci_hcd 0000:04:00.0: xHCI Host Controller [ 11.485064] xhci_hcd 0000:04:00.0: new USB bus registered, assigned bus number 3 [ 11.636149] xhci_hcd 0000:04:00.0: irq 18, io mem 0xc5400000 [ 11.636241] xhci_hcd 0000:04:00.0: irq 43 for MSI/MSI-X [ 11.636246] xhci_hcd 0000:04:00.0: irq 44 for MSI/MSI-X [ 11.636251] xhci_hcd 0000:04:00.0: irq 45 for MSI/MSI-X [ 11.636256] xhci_hcd 0000:04:00.0: irq 46 for MSI/MSI-X [ 11.636261] xhci_hcd 0000:04:00.0: irq 47 for MSI/MSI-X [ 11.639654] xHCI xhci_add_endpoint called for root hub [ 11.639655] xHCI xhci_check_bandwidth called for root hub [ 11.956366] usb 3-1: new SuperSpeed USB device using xhci_hcd and address 2 [ 12.001073] xhci_hcd 0000:04:00.0: WARN: short transfer on control ep [ 12.007059] xhci_hcd 0000:04:00.0: WARN: short transfer on control ep [ 12.012932] xhci_hcd 0000:04:00.0: WARN: short transfer on control ep [ 12.018922] xhci_hcd 0000:04:00.0: WARN: short transfer on control ep [ 12.049139] xhci_hcd 0000:04:00.0: WARN: short transfer on control ep [ 12.056754] xhci_hcd 0000:04:00.0: WARN: short transfer on control ep [ 12.131607] xhci_hcd 0000:04:00.0: WARN no SS endpoint bMaxBurst [ 12.179717] xhci_hcd 0000:04:00.0: WARN: short transfer on control ep [ 12.686876] xhci_hcd 0000:04:00.0: WARN: babble error on endpoint [ 12.687058] xhci_hcd 0000:04:00.0: WARN Set TR Deq Ptr cmd invalid because of stream ID configuration [ 12.687152] xhci_hcd 0000:04:00.0: ERROR Transfer event for disabled endpoint or incorrect stream ring [ 43.330737] usb 3-1: reset SuperSpeed USB device using xhci_hcd and address 2 [ 43.422579] xhci_hcd 0000:04:00.0: WARN: short transfer on control ep [ 43.422658] xhci_hcd 0000:04:00.0: xHCI xhci_drop_endpoint called with disabled ep ffff88014669af00 [ 43.422665] xhci_hcd 0000:04:00.0: xHCI xhci_drop_endpoint called with disabled ep ffff88014669af40 [ 43.422671] xhci_hcd 0000:04:00.0: xHCI xhci_drop_endpoint called with disabled ep ffff88014669af80 [ 43.422677] xhci_hcd 0000:04:00.0: xHCI xhci_drop_endpoint called with disabled ep ffff88014669afc0 [ 43.531159] xhci_hcd 0000:04:00.0: WARN no SS endpoint bMaxBurst [ 125.160248] xhci_hcd 0000:04:00.0: WARN no SS endpoint bMaxBurst [ 903.766466] usb 3-1: new SuperSpeed USB device using xhci_hcd and address 3 [ 903.807789] xhci_hcd 0000:04:00.0: WARN: short transfer on control ep [ 903.813530] xhci_hcd 0000:04:00.0: WARN: short transfer on control ep [ 903.819400] xhci_hcd 0000:04:00.0: WARN: short transfer on control ep [ 903.825104] xhci_hcd 0000:04:00.0: WARN: short transfer on control ep [ 903.855067] xhci_hcd 0000:04:00.0: WARN: short transfer on control ep [ 903.862314] xhci_hcd 0000:04:00.0: WARN: short transfer on control ep [ 903.862597] xhci_hcd 0000:04:00.0: WARN no SS endpoint bMaxBurst [ 903.913211] xhci_hcd 0000:04:00.0: WARN: short transfer on control ep [ 904.424416] xhci_hcd 0000:04:00.0: WARN: babble error on endpoint [ 904.424599] xhci_hcd 0000:04:00.0: WARN Set TR Deq Ptr cmd invalid because of stream ID configuration [ 904.424700] xhci_hcd 0000:04:00.0: ERROR Transfer event for disabled endpoint or incorrect stream ring [ 935.139021] usb 3-1: reset SuperSpeed USB device using xhci_hcd and address 3 [ 935.226075] xhci_hcd 0000:04:00.0: WARN: short transfer on control ep [ 935.226140] xhci_hcd 0000:04:00.0: xHCI xhci_drop_endpoint called with disabled ep ffff880148186b00 [ 935.226148] xhci_hcd 0000:04:00.0: xHCI xhci_drop_endpoint called with disabled ep ffff880148186b40 [ 935.226153] xhci_hcd 0000:04:00.0: xHCI xhci_drop_endpoint called with disabled ep ffff880148186b80 [ 935.226159] xhci_hcd 0000:04:00.0: xHCI xhci_drop_endpoint called with disabled ep ffff880148186bc0 [ 935.343339] xhci_hcd 0000:04:00.0: WARN no SS endpoint bMaxBurst I thought it might be that the firmware wasn't compatible with linux or something, but when booting a live image of partedmagic, (2.6.38.4-pmagic), the drive was detected fine, I could mount it and got usb 3.0 speeds (at least they double the speeds I got from plugging same drive in usb 2 ports). dmesg in partedmagic did say something about no SuperSpeed endpoint which was an error I saw in a previous dmesg of ubuntu: Jun 27 15:49:02 (none) user.info kernel: [ 2.978743] xhci_hcd 0000:04:00.0: PCI INT A -> GSI 18 (level, low) -> IRQ 18 Jun 27 15:49:02 (none) user.debug kernel: [ 2.978771] xhci_hcd 0000:04:00.0: setting latency timer to 64 Jun 27 15:49:02 (none) user.info kernel: [ 2.978781] xhci_hcd 0000:04:00.0: xHCI Host Controller Jun 27 15:49:02 (none) user.info kernel: [ 2.978856] xhci_hcd 0000:04:00.0: new USB bus registered, assigned bus number 3 Jun 27 15:49:02 (none) user.info kernel: [ 3.089458] xhci_hcd 0000:04:00.0: irq 18, io mem 0xc5400000 Jun 27 15:49:02 (none) user.debug kernel: [ 3.089541] xhci_hcd 0000:04:00.0: irq 42 for MSI/MSI-X Jun 27 15:49:02 (none) user.debug kernel: [ 3.089544] xhci_hcd 0000:04:00.0: irq 43 for MSI/MSI-X Jun 27 15:49:02 (none) user.debug kernel: [ 3.089546] xhci_hcd 0000:04:00.0: irq 44 for MSI/MSI-X Jun 27 15:49:02 (none) user.debug kernel: [ 3.089548] xhci_hcd 0000:04:00.0: irq 45 for MSI/MSI-X Jun 27 15:49:02 (none) user.debug kernel: [ 3.089550] xhci_hcd 0000:04:00.0: irq 46 for MSI/MSI-X Jun 27 15:49:02 (none) user.warn kernel: [ 3.092857] usb usb3: No SuperSpeed endpoint companion for config 1 interface 0 altsetting 0 ep 129: using minimum values Jun 27 15:49:02 (none) user.info kernel: [ 3.092864] usb usb3: New USB device found, idVendor=1d6b, idProduct=0003 Jun 27 15:49:02 (none) user.info kernel: [ 3.092866] usb usb3: New USB device strings: Mfr=3, Product=2, SerialNumber=1 Jun 27 15:49:02 (none) user.info kernel: [ 3.092867] usb usb3: Product: xHCI Host Controller Jun 27 15:49:02 (none) user.info kernel: [ 3.092869] usb usb3: Manufacturer: Linux 2.6.38.4-pmagic xhci_hcd Jun 27 15:49:02 (none) user.info kernel: [ 3.092870] usb usb3: SerialNumber: 0000:04:00.0 Jun 27 15:49:02 (none) user.debug kernel: [ 3.092961] xHCI xhci_add_endpoint called for root hub Jun 27 15:49:02 (none) user.debug kernel: [ 3.092963] xHCI xhci_check_bandwidth called for root hub Well I have no idea what's going wrong, and I haven't had much luck from google and the forums so far. A number of unanswered threads with people with similar error messages and problems only. Hopefully someone here can help or point me in the right direction?!

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  • Hard drive mounted at / , duplicate mounted hard drive after using MountManager

    - by HellHarvest
    possible duplicate post I'm running 12.04 64bit. My system is a dual boot for both Ubuntu and Windows7. Both operating systems are sharing the drive named "Elements". My volume named "Elements" is a 1TB SATA NTFS hard drive that shows up twice in the side bar in nautilus. One of the icons is functional and even has the convenient "eject" icon next to it. Below is a picture of the left menu in Nautilus, with System Monitor-File Systems tab open on top of it. Can someone advise me about how to get rid of this extra icon? I think the problem is much more deep-rooted than just a GUI glitch on Nautilus' part. The other icon does nothing but spit out the following error when I click on it (image below). This only happened AFTER I tried using Mount Manager to automate mounting the drive at start up. I've already uninstalled Mount Manager, and restarted, but the problem didn't go away. The hard drive does mount automatically now, so I guess that's cool. But now, every time I boot up now and open Nautilus, BOTH of these icons appear, one of which is fictitious and useless. According to the image above and the outputs of several other commands, it appears to be mounted at / In which case, no matter where I am in Nautilus when I try to click on that icon, of course it will tell me that that drive is in use by another program... Nautilus. I'm afraid of trying to unmount this hard drive (sdb6) because of where it appears to be mounted. I'm kind of a noob, and I have this gut feeling that tells me trying to unmount a drive at / will destroy my entire file system. This fear was further strengthened by the output of "$ fsck" at the very bottom of this post. Error immediately below when that 2nd "Elements" hard drive is clicked in Nautilus: Unable to mount Elements Mount is denied because the NTFS volume is already exclusively opened. The volume may be already mounted, or another software may use it which could be identified for example by the help of the 'fuser' command. It's odd to me that that error message above claims that it's an NTFS volume when everything else tell me that it's an ext4 volume. The actual hard drive "Elements" is in fact an NTFS volume. Here's the output of a few commands and configuration files that may be of interest: $ fuser -a / /: 2120r 2159rc 2160rc 2172r 2178rc 2180rc 2188r 2191rc 2200rc 2203rc 2205rc 2206r 2211r 2212r 2214r 2220r 2228r 2234rc 2246rc 2249rc 2254rc 2260rc 2261r 2262r 2277rc 2287rc 2291rc 2311rc 2313rc 2332rc 2334rc 2339rc 2343rc 2344rc 2352rc 2372rc 2389rc 2422r 2490r 2496rc 2501rc 2566r 2573rc 2581rc 2589rc 2592r 2603r 2611rc 2613rc 2615rc 2678rc 2927r 2981r 3104rc 4156rc 4196rc 4206rc 4213rc 4240rc 4297rc 5032rc 7609r 7613r 7648r 9593rc 18829r 18833r 19776r $ sudo df -h Filesystem Size Used Avail Use% Mounted on /dev/sdb6 496G 366G 106G 78% / udev 2.0G 4.0K 2.0G 1% /dev tmpfs 791M 1.5M 790M 1% /run none 5.0M 0 5.0M 0% /run/lock none 2.0G 672K 2.0G 1% /run/shm /dev/sda1 932G 312G 620G 34% /media/Elements /home/solderblob/.Private 496G 366G 106G 78% /home/solderblob /dev/sdb2 188G 100G 88G 54% /media/A2B24EACB24E852F /dev/sdb1 100M 25M 76M 25% /media/System Reserved $ sudo fdisk -l Disk /dev/sda: 1000.2 GB, 1000204886016 bytes 255 heads, 63 sectors/track, 121601 cylinders, total 1953525168 sectors Units = sectors of 1 * 512 = 512 bytes Sector size (logical/physical): 512 bytes / 512 bytes I/O size (minimum/optimal): 512 bytes / 512 bytes Disk identifier: 0x00093cab Device Boot Start End Blocks Id System /dev/sda1 2048 1953519615 976758784 7 HPFS/NTFS/exFAT Disk /dev/sdb: 750.2 GB, 750156374016 bytes 255 heads, 63 sectors/track, 91201 cylinders, total 1465149168 sectors Units = sectors of 1 * 512 = 512 bytes Sector size (logical/physical): 512 bytes / 512 bytes I/O size (minimum/optimal): 512 bytes / 512 bytes Disk identifier: 0x000e8d9b Device Boot Start End Blocks Id System /dev/sdb1 * 2048 206847 102400 7 HPFS/NTFS/exFAT /dev/sdb2 206848 392378768 196085960+ 7 HPFS/NTFS/exFAT /dev/sdb3 392380414 1465147391 536383489 5 Extended /dev/sdb5 1456762880 1465147391 4192256 82 Linux swap / Solaris /dev/sdb6 392380416 1448374271 527996928 83 Linux /dev/sdb7 1448376320 1456758783 4191232 82 Linux swap / Solaris Partition table entries are not in disk order $ cat /etc/fstab # <file system> <mount point> <type> <options> <dump> <pass> UUID=77039a2a-83d4-47a1-8a8c-a2ec4e4dfd0e / ext4 defaults 0 1 UUID=F6549CC4549C88CF /media/Elements ntfs-3g users 0 0 $ sudo blkid /dev/sda1: LABEL="Elements" UUID="F6549CC4549C88CF" TYPE="ntfs" /dev/sdb1: LABEL="System Reserved" UUID="5CDE130FDE12E156" TYPE="ntfs" /dev/sdb2: UUID="A2B24EACB24E852F" TYPE="ntfs" /dev/sdb6: UUID="77039a2a-83d4-47a1-8a8c-a2ec4e4dfd0e" TYPE="ext4" $ sudo blkid -c /dev/null (appears to be exactly the same as above) /dev/sda1: LABEL="Elements" UUID="F6549CC4549C88CF" TYPE="ntfs" /dev/sdb1: LABEL="System Reserved" UUID="5CDE130FDE12E156" TYPE="ntfs" /dev/sdb2: UUID="A2B24EACB24E852F" TYPE="ntfs" /dev/sdb6: UUID="77039a2a-83d4-47a1-8a8c-a2ec4e4dfd0e" TYPE="ext4" $ mount /dev/sdb6 on / type ext4 (rw) proc on /proc type proc (rw,noexec,nosuid,nodev) sysfs on /sys type sysfs (rw,noexec,nosuid,nodev) none on /sys/fs/fuse/connections type fusectl (rw) none on /sys/kernel/debug type debugfs (rw) none on /sys/kernel/security type securityfs (rw) udev on /dev type devtmpfs (rw,mode=0755) devpts on /dev/pts type devpts (rw,noexec,nosuid,gid=5,mode=0620) tmpfs on /run type tmpfs (rw,noexec,nosuid,size=10%,mode=0755) none on /run/lock type tmpfs (rw,noexec,nosuid,nodev,size=5242880) none on /run/shm type tmpfs (rw,nosuid,nodev) /dev/sda1 on /media/Elements type fuseblk (rw,noexec,nosuid,nodev,allow_other,blksize=4096) binfmt_misc on /proc/sys/fs/binfmt_misc type binfmt_misc (rw,noexec,nosuid,nodev) /home/solderblob/.Private on /home/solderblob type ecryptfs (ecryptfs_check_dev_ruid,ecryptfs_cipher=aes,ecryptfs_key_bytes=16,ecryptfs_unlink_sigs,ecryptfs_sig=76a47b0175afa48d,ecryptfs_fnek_sig=391b2d8b155215f7) gvfs-fuse-daemon on /home/solderblob/.gvfs type fuse.gvfs-fuse-daemon (rw,nosuid,nodev,user=solderblob) /dev/sdb2 on /media/A2B24EACB24E852F type fuseblk (rw,nosuid,nodev,allow_other,default_permissions,blksize=4096) /dev/sdb1 on /media/System Reserved type fuseblk (rw,nosuid,nodev,allow_other,default_permissions,blksize=4096) $ ls -a . A2B24EACB24E852F Ubuntu 12.04.1 LTS amd64 .. Elements System Reserved $ cat /proc/mounts rootfs / rootfs rw 0 0 sysfs /sys sysfs rw,nosuid,nodev,noexec,relatime 0 0 proc /proc proc rw,nosuid,nodev,noexec,relatime 0 0 udev /dev devtmpfs rw,relatime,size=2013000k,nr_inodes=503250,mode=755 0 0 devpts /dev/pts devpts rw,nosuid,noexec,relatime,gid=5,mode=620,ptmxmode=000 0 0 tmpfs /run tmpfs rw,nosuid,relatime,size=809872k,mode=755 0 0 /dev/disk/by-uuid/77039a2a-83d4-47a1-8a8c-a2ec4e4dfd0e / ext4 rw,relatime,user_xattr,acl,barrier=1,data=ordered 0 0 none /sys/fs/fuse/connections fusectl rw,relatime 0 0 none /sys/kernel/debug debugfs rw,relatime 0 0 none /sys/kernel/security securityfs rw,relatime 0 0 none /run/lock tmpfs rw,nosuid,nodev,noexec,relatime,size=5120k 0 0 none /run/shm tmpfs rw,nosuid,nodev,relatime 0 0 /dev/sda1 /media/Elements fuseblk rw,nosuid,nodev,noexec,relatime,user_id=0,group_id=0,allow_other,blksize=4096 0 0 binfmt_misc /proc/sys/fs/binfmt_misc binfmt_misc rw,nosuid,nodev,noexec,relatime 0 0 /home/solderblob/.Private /home/solderblob ecryptfs rw,relatime,ecryptfs_fnek_sig=391b2d8b155215f7,ecryptfs_sig=76a47b0175afa48d,ecryptfs_cipher=aes,ecryptfs_key_bytes=16,ecryptfs_unlink_sigs 0 0 gvfs-fuse-daemon /home/solderblob/.gvfs fuse.gvfs-fuse-daemon rw,nosuid,nodev,relatime,user_id=1000,group_id=1000 0 0 /dev/sdb2 /media/A2B24EACB24E852F fuseblk rw,nosuid,nodev,relatime,user_id=0,group_id=0,default_permissions,allow_other,blksize=4096 0 0 /dev/sdb1 /media/System\040Reserved fuseblk rw,nosuid,nodev,relatime,user_id=0,group_id=0,default_permissions,allow_other,blksize=4096 0 0 gvfs-fuse-daemon /root/.gvfs fuse.gvfs-fuse-daemon rw,nosuid,nodev,relatime,user_id=0,group_id=0 0 0 $ fsck fsck from util-linux 2.20.1 e2fsck 1.42 (29-Nov-2011) /dev/sdb6 is mounted. WARNING!!! The filesystem is mounted. If you continue you ***WILL*** cause ***SEVERE*** filesystem damage. Do you really want to continue<n>? no check aborted.

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  • How can I remove old kernels/install new ones when /boot is full?

    - by Marcel
    I know this question is asked many times before, however with me it is just a bit different I guess. # df -h Filesystem Size Used Avail Use% Mounted on /dev/sda3 224G 5.2G 208G 3% / udev 1.9G 4.0K 1.9G 1% /dev tmpfs 777M 260K 777M 1% /run none 5.0M 0 5.0M 0% /run/lock none 1.9G 0 1.9G 0% /run/shm /dev/sda2 90M 88M 0 100% /boot /dev/sda6 1.9G 514M 1.3G 29% /tmp My boot partition is full. Current Kernel: # uname -r 3.2.0-35-generic All Kernels: # dpkg --list | grep linux-image ii linux-image-3.2.0-32-generic 3.2.0-32.51 Linux kernel image for version 3.2.0 on 64 bit x86 SMP ii linux-image-3.2.0-34-generic 3.2.0-34.53 Linux kernel image for version 3.2.0 on 64 bit x86 SMP ii linux-image-3.2.0-35-generic 3.2.0-35.55 Linux kernel image for version 3.2.0 on 64 bit x86 SMP iF linux-image-3.2.0-37-generic 3.2.0-37.58 Linux kernel image for version 3.2.0 on 64 bit x86 SMP iF linux-image-3.2.0-38-generic 3.2.0-38.60 Linux kernel image for version 3.2.0 on 64 bit x86 SMP iU linux-image-generic 3.2.0.37.45 Generic Linux kernel image So I thought of removing the 3.2.0.32-generic kernel with: # sudo apt-get purge linux-image-3.2.0-32-generic Reading package lists... Done Building dependency tree Reading state information... Done You might want to run 'apt-get -f install' to correct these: The following packages have unmet dependencies: linux-generic : Depends: linux-headers-generic (= 3.2.0.37.45) but 3.2.0.38.46 is to be installed E: Unmet dependencies. Try 'apt-get -f install' with no packages (or specify a solution). No success. When I try apt-get -f install it also fails: # apt-get -f install Reading package lists... Done Building dependency tree Reading state information... Done Correcting dependencies... Done The following packages were automatically installed and are no longer required: linux-headers-3.2.0-34 linux-headers-3.2.0-35 linux-headers-3.2.0-34-generic linux-headers-3.2.0-35-generic Use 'apt-get autoremove' to remove them. The following extra packages will be installed: linux-generic linux-image-generic The following packages will be upgraded: linux-generic linux-image-generic 2 upgraded, 0 newly installed, 0 to remove and 9 not upgraded. 5 not fully installed or removed. Need to get 0 B/4,334 B of archives. After this operation, 0 B of additional disk space will be used. Do you want to continue [Y/n]? y Setting up initramfs-tools (0.99ubuntu13.1) ... update-initramfs: deferring update (trigger activated) Setting up linux-image-3.2.0-37-generic (3.2.0-37.58) ... Running depmod. update-initramfs: deferring update (hook will be called later) The link /initrd.img is a dangling linkto /boot/initrd.img-3.2.0-38-generic Examining /etc/kernel/postinst.d. run-parts: executing /etc/kernel/postinst.d/initramfs-tools 3.2.0-37-generic /boot/vmlinuz-3.2.0-37-generic update-initramfs: Generating /boot/initrd.img-3.2.0-37-generic gzip: stdout: No space left on device E: mkinitramfs failure cpio 141 gzip 1 update-initramfs: failed for /boot/initrd.img-3.2.0-37-generic with 1. run-parts: /etc/kernel/postinst.d/initramfs-tools exited with return code 1 Failed to process /etc/kernel/postinst.d at /var/lib/dpkg/info/linux-image-3.2.0-37-generic.postinst line 1010. dpkg: error processing linux-image-3.2.0-37-generic (--configure): subprocess installed post-installation script returned error exit status 2 Setting up linux-image-3.2.0-38-generic (3.2.0-38.60) ... Running depmod. update-initramfs: deferring update (hook will be called later) The link /initrd.img is a dangling linkto /boot/initrd.img-3.2.0-37-generic Examining /etc/kernel/postinst.d. run-parts: executing /etc/kernel/postinst.d/initramfs-tools 3.2.0-38-generic /boot/vmlinuz-3.2.0-38-generic update-initramfs: Generating /boot/initrd.img-3.2.0-38-generic gzip: stdout: No space left on device E: mkinitramfs failure cpio 141 gzip 1 update-initramfs: failed for /boot/initrd.img-3.2.0-38-generic with 1. run-parts: /etc/kernel/postinst.d/initramfs-tools exited with return code 1 Failed to process /etc/kernel/postinst.d at /var/lib/dpkg/info/linux-image-3.2.0-38-generic.postinst line 1010. dpkg: error processing linux-image-3.2.0-38-generic (--configure): subprocess installed post-installation script returned error exit status 2 dpkg: dependency problems prevent configuration of linux-image-generic: linux-image-generic depends on linux-image-3.2.0-37-generic; however: Package linux-image-3.2.0-37-generic is not configured yet. dpkg: error processing linux-image-generic (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of linux-generic: linux-generic depends on linux-image-generic (= 3.2.0.37.45); however: Package linux-image-generic is not configured yet. linux-generic depends on linux-headers-generic (= 3.2.0.37.45); however: Version of linux-headers-generic on system is 3.2.0.38.46. dpkg: error processing linux-generic (--configure): dependency problems - leaving unconfigured Processing triggers for initramfs-tools ... No apport report written because the error message indicates its a followup error from a previous failure. No apport report written because MaxReports is reached already update-initramfs: Generating /boot/initrd.img-3.2.0-35-generic gzip: stdout: No space left on device E: mkinitramfs failure cpio 141 gzip 1 update-initramfs: failed for /boot/initrd.img-3.2.0-35-generic with 1. dpkg: error processing initramfs-tools (--configure): subprocess installed post-installation script returned error exit status 1 No apport report written because MaxReports is reached already Errors were encountered while processing: linux-image-3.2.0-37-generic linux-image-3.2.0-38-generic linux-image-generic linux-generic initramfs-tools E: Sub-process /usr/bin/dpkg returned an error code (1) Any help would really be appreciated. Update: I did: sudo rm /boot/*-3.2.0-32-generic /boot/*-3.2.0-34-generic After that the following problem with apt-get -f install: root@localhost:/# apt-get -f install Reading package lists... Done Building dependency tree Reading state information... Done Correcting dependencies... Done The following extra packages will be installed: linux-generic The following packages will be upgraded: linux-generic 1 upgraded, 0 newly installed, 0 to remove and 9 not upgraded. 1 not fully installed or removed. Need to get 0 B/1,722 B of archives. After this operation, 0 B of additional disk space will be used. Do you want to continue [Y/n]? y dpkg: dependency problems prevent configuration of linux-generic: linux-generic depends on linux-image-generic (= 3.2.0.37.45); however: Version of linux-image-generic on system is 3.2.0.38.46. linux-generic depends on linux-headers-generic (= 3.2.0.37.45); however: Version of linux-headers-generic on system is 3.2.0.38.46. dpkg: error processing linux-generic (--configure): dependency problems - leaving unconfigured No apport report written because the error message indicates its a followup error from a previous failure. Errors were encountered while processing: linux-generic E: Sub-process /usr/bin/dpkg returned an error code (1)

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  • DBCC CHECKDB on VVLDB and latches (Or: My Pain is Your Gain)

    - by Argenis
      Does your CHECKDB hurt, Argenis? There is a classic blog series by Paul Randal [blog|twitter] called “CHECKDB From Every Angle” which is pretty much mandatory reading for anybody who’s even remotely considering going for the MCM certification, or its replacement (the Microsoft Certified Solutions Master: Data Platform – makes my fingers hurt just from typing it). Of particular interest is the post “Consistency Options for a VLDB” – on it, Paul provides solid, timeless advice (I use the word “timeless” because it was written in 2007, and it all applies today!) on how to perform checks on very large databases. Well, here I was trying to figure out how to make CHECKDB run faster on a restored copy of one of our databases, which happens to exceed 7TB in size. The whole thing was taking several days on multiple systems, regardless of the storage used – SAS, SATA or even SSD…and I actually didn’t pay much attention to how long it was taking, or even bothered to look at the reasons why - as long as it was finishing okay and found no consistency errors. Yes – I know. That was a huge mistake, as corruption found in a database several days after taking place could only allow for further spread of the corruption – and potentially large data loss. In the last two weeks I increased my attention towards this problem, as we noticed that CHECKDB was taking EVEN LONGER on brand new all-flash storage in the SAN! I couldn’t really explain it, and were almost ready to blame the storage vendor. The vendor told us that they could initially see the server driving decent I/O – around 450Mb/sec, and then it would settle at a very slow rate of 10Mb/sec or so. “Hum”, I thought – “CHECKDB is just not pushing the I/O subsystem hard enough”. Perfmon confirmed the vendor’s observations. Dreaded @BlobEater What was CHECKDB doing all the time while doing so little I/O? Eating Blobs. It turns out that CHECKDB was taking an extremely long time on one of our frankentables, which happens to be have 35 billion rows (yup, with a b) and sucks up several terabytes of space in the database. We do have a project ongoing to purge/split/partition this table, so it’s just a matter of time before we deal with it. But the reality today is that CHECKDB is coming to a screeching halt in performance when dealing with this particular table. Checking sys.dm_os_waiting_tasks and sys.dm_os_latch_stats showed that LATCH_EX (DBCC_OBJECT_METADATA) was by far the top wait type. I remembered hearing recently about that wait from another post that Paul Randal made, but that was related to computed-column indexes, and in fact, Paul himself reminded me of his article via twitter. But alas, our pathologic table had no non-clustered indexes on computed columns. I knew that latches are used by the database engine to do internal synchronization – but how could I help speed this up? After all, this is stuff that doesn’t have a lot of knobs to tweak. (There’s a fantastic level 500 talk by Bob Ward from Microsoft CSS [blog|twitter] called “Inside SQL Server Latches” given at PASS 2010 – and you can check it out here. DISCLAIMER: I assume no responsibility for any brain melting that might ensue from watching Bob’s talk!) Failed Hypotheses Earlier on this week I flew down to Palo Alto, CA, to visit our Headquarters – and after having a great time with my Monkey peers, I was relaxing on the plane back to Seattle watching a great talk by SQL Server MVP and fellow MCM Maciej Pilecki [twitter] called “Masterclass: A Day in the Life of a Database Transaction” where he discusses many different topics related to transaction management inside SQL Server. Very good stuff, and when I got home it was a little late – that slow DBCC CHECKDB that I had been dealing with was way in the back of my head. As I was looking at the problem at hand earlier on this week, I thought “How about I set the database to read-only?” I remembered one of the things Maciej had (jokingly) said in his talk: “if you don’t want locking and blocking, set the database to read-only” (or something to that effect, pardon my loose memory). I immediately killed the CHECKDB which had been running painfully for days, and set the database to read-only mode. Then I ran DBCC CHECKDB against it. It started going really fast (even a bit faster than before), and then throttled down again to around 10Mb/sec. All sorts of expletives went through my head at the time. Sure enough, the same latching scenario was present. Oh well. I even spent some time trying to figure out if NUMA was hurting performance. Folks on Twitter made suggestions in this regard (thanks, Lonny! [twitter]) …Eureka? This past Friday I was still scratching my head about the whole thing; I was ready to start profiling with XPERF to see if I could figure out which part of the engine was to blame and then get Microsoft to look at the evidence. After getting a bunch of good news I’ll blog about separately, I sat down for a figurative smack down with CHECKDB before the weekend. And then the light bulb went on. A sparse column. I thought that I couldn’t possibly be experiencing the same scenario that Paul blogged about back in March showing extreme latching with non-clustered indexes on computed columns. Did I even have a non-clustered index on my sparse column? As it turns out, I did. I had one filtered non-clustered index – with the sparse column as the index key (and only column). To prove that this was the problem, I went and setup a test. Yup, that'll do it The repro is very simple for this issue: I tested it on the latest public builds of SQL Server 2008 R2 SP2 (CU6) and SQL Server 2012 SP1 (CU4). First, create a test database and a test table, which only needs to contain a sparse column: CREATE DATABASE SparseColTest; GO USE SparseColTest; GO CREATE TABLE testTable (testCol smalldatetime SPARSE NULL); GO INSERT INTO testTable (testCol) VALUES (NULL); GO 1000000 That’s 1 million rows, and even though you’re inserting NULLs, that’s going to take a while. In my laptop, it took 3 minutes and 31 seconds. Next, we run DBCC CHECKDB against the database: DBCC CHECKDB('SparseColTest') WITH NO_INFOMSGS, ALL_ERRORMSGS; This runs extremely fast, as least on my test rig – 198 milliseconds. Now let’s create a filtered non-clustered index on the sparse column: CREATE NONCLUSTERED INDEX [badBadIndex] ON testTable (testCol) WHERE testCol IS NOT NULL; With the index in place now, let’s run DBCC CHECKDB one more time: DBCC CHECKDB('SparseColTest') WITH NO_INFOMSGS, ALL_ERRORMSGS; In my test system this statement completed in 11433 milliseconds. 11.43 full seconds. Quite the jump from 198 milliseconds. I went ahead and dropped the filtered non-clustered indexes on the restored copy of our production database, and ran CHECKDB against that. We went down from 7+ days to 19 hours and 20 minutes. Cue the “Argenis is not impressed” meme, please, Mr. LaRock. My pain is your gain, folks. Go check to see if you have any of such indexes – they’re likely causing your consistency checks to run very, very slow. Happy CHECKDBing, -Argenis ps: I plan to file a Connect item for this issue – I consider it a pretty serious bug in the engine. After all, filtered indexes were invented BECAUSE of the sparse column feature – and it makes a lot of sense to use them together. Watch this space and my twitter timeline for a link.

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  • Columnstore Case Study #2: Columnstore faster than SSAS Cube at DevCon Security

    - by aspiringgeek
    Preamble This is the second in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in my big deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. See also Columnstore Case Study #1: MSIT SONAR Aggregations Why Columnstore? As stated previously, If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. The Customer DevCon Security provides home & business security services & has been in business for 135 years. I met DevCon personnel while speaking to the Utah County SQL User Group on 20 February 2012. (Thanks to TJ Belt (b|@tjaybelt) & Ben Miller (b|@DBADuck) for the invitation which serendipitously coincided with the height of ski season.) The App: DevCon Security Reporting: Optimized & Ad Hoc Queries DevCon users interrogate a SQL Server 2012 Analysis Services cube via SSRS. In addition, the SQL Server 2012 relational back end is the target of ad hoc queries; this DW back end is refreshed nightly during a brief maintenance window via conventional table partition switching. SSRS, SSAS, & MDX Conventional relational structures were unable to provide adequate performance for user interaction for the SSRS reports. An SSAS solution was implemented requiring personnel to ramp up technically, including learning enough MDX to satisfy requirements. Ad Hoc Queries Even though the fact table is relatively small—only 22 million rows & 33GB—the table was a typical DW table in terms of its width: 137 columns, any of which could be the target of ad hoc interrogation. As is common in DW reporting scenarios such as this, it is often nearly to optimize for such queries using conventional indexing. DevCon DBAs & developers attended PASS 2012 & were introduced to the marvels of columnstore in a session presented by Klaus Aschenbrenner (b|@Aschenbrenner) The Details Classic vs. columnstore before-&-after metrics are impressive. Scenario   Conventional Structures   Columnstore   Δ SSRS via SSAS 10 - 12 seconds 1 second >10x Ad Hoc 5-7 minutes (300 - 420 seconds) 1 - 2 seconds >100x Here are two charts characterizing this data graphically.  The first is a linear representation of Report Duration (in seconds) for Conventional Structures vs. Columnstore Indexes.  As is so often the case when we chart such significant deltas, the linear scale doesn’t expose some the dramatically improved values corresponding to the columnstore metrics.  Just to make it fair here’s the same data represented logarithmically; yet even here the values corresponding to 1 –2 seconds aren’t visible.  The Wins Performance: Even prior to columnstore implementation, at 10 - 12 seconds canned report performance against the SSAS cube was tolerable. Yet the 1 second performance afterward is clearly better. As significant as that is, imagine the user experience re: ad hoc interrogation. The difference between several minutes vs. one or two seconds is a game changer, literally changing the way users interact with their data—no mental context switching, no wondering when the results will appear, no preoccupation with the spinning mind-numbing hurry-up-&-wait indicators.  As we’ve commonly found elsewhere, columnstore indexes here provided performance improvements of one, two, or more orders of magnitude. Simplified Infrastructure: Because in this case a nonclustered columnstore index on a conventional DW table was faster than an Analysis Services cube, the entire SSAS infrastructure was rendered superfluous & was retired. PASS Rocks: Once again, the value of attending PASS is proven out. The trip to Charlotte combined with eager & enquiring minds let directly to this success story. Find out more about the next PASS Summit here, hosted this year in Seattle on November 4 - 7, 2014. DevCon BI Team Lead Nathan Allan provided this unsolicited feedback: “What we found was pretty awesome. It has been a game changer for us in terms of the flexibility we can offer people that would like to get to the data in different ways.” Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the second in a series of reports on columnstore implementations, results from DevCon Security, a live customer production app for which performance increased by factors of from 10x to 100x for all report queries, including canned queries as well as reducing time for results for ad hoc queries from 5 - 7 minutes to 1 - 2 seconds. As a result of columnstore performance, the customer retired their SSAS infrastructure. I invite you to consider leveraging columnstore in your own environment. Let me know if you have any questions.

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  • BI Applications overview

    - by sv744
    Welcome to Oracle BI applications blog! This blog will talk about various features, general roadmap, description of functionality and implementation steps related to Oracle BI applications. In the first post we start with an overview of the BI apps and will delve deeper into some of the topics below in the upcoming weeks and months. If there are other topics you would like us to talk about, pl feel free to provide feedback on that. The Oracle BI applications are a set of pre-built applications that enable pervasive BI by providing role-based insight for each functional area, including sales, service, marketing, contact center, finance, supplier/supply chain, HR/workforce, and executive management. For example, Sales Analytics includes role-based applications for sales executives, sales management, as well as front-line sales reps, each of whom have different needs. The applications integrate and transform data from a range of enterprise sources—including Siebel, Oracle, PeopleSoft, SAP, and others—into actionable intelligence for each business function and user role. This blog  starts with the key benefits and characteristics of Oracle BI applications. In a series of subsequent blogs, each of these points will be explained in detail. Why BI apps? Demonstrate the value of BI to a business user, show reports / dashboards / model that can answer their business questions as part of the sales cycle. Demonstrate technical feasibility of BI project and significantly lower risk and improve success Build Vs Buy benefit Don’t have to start with a blank sheet of paper. Help consolidate disparate systems Data integration in M&A situations Insulate BI consumers from changes in the OLTP Present OLTP data and highlight issues of poor data / missing data – and improve data quality and accuracy Prebuilt Integrations BI apps support prebuilt integrations against leading ERP sources: Fusion Applications, E- Business Suite, Peoplesoft, JD Edwards, Siebel, SAP Co-developed with inputs from functional experts in BI and Applications teams. Out of the box dimensional model to source model mappings Multi source and Multi Instance support Rich Data Model    BI apps have a very rich dimensionsal data model built over 10 years that incorporates best practises from BI modeling perspective as well as reflect the source system complexities  Thanks for reading a long post, and be on the lookout for future posts.  We will look forward to your valuable feedback on these topics as well as suggestions on what other topics would you like us to cover. I Conformed dimensional model across all business subject areas allows cross functional reporting, e.g. customer / supplier 360 Over 360 fact tables across 7 product areas CRM – 145, SCM – 47, Financials – 28, Procurement – 20, HCM – 27, Projects – 18, Campus Solutions – 21, PLM - 56 Supported by 300 physical dimensions Support for extensive calendars; Gregorian, enterprise and ledger based Conformed data model and metrics for real time vs warehouse based reporting  Multi-tenant enabled Extensive BI related transformations BI apps ETL and data integration support various transformations required for dimensional models and reporting requirements. All these have been distilled into common patterns and abstracted logic which can be readily reused across different modules Slowly Changing Dimension support Hierarchy flattening support Row / Column Hybrid Hierarchy Flattening As Is vs. As Was hierarchy support Currency Conversion :-  Support for 3 corporate, CRM, ledger and transaction currencies UOM conversion Internationalization / Localization Dynamic Data translations Code standardization (Domains) Historical Snapshots Cycle and process lifecycle computations Balance Facts Equalization of GL accounting chartfields/segments Standardized values for categorizing GL accounts Reconciliation between GL and subledgers to track accounted/transferred/posted transactions to GL Materialization of data only available through costly and complex APIs e.g. Fusion Payroll, EBS / Fusion Accruals Complex event Interpretation of source data – E.g. o    What constitutes a transfer o    Deriving supervisors via position hierarchy o    Deriving primary assignment in PSFT o    Categorizing and transposition to measures of Payroll Balances to specific metrics to support side by side comparison of measures of for example Fixed Salary, Variable Salary, Tax, Bonus, Overtime Payments. o    Counting of Events – E.g. converting events to fact counters so that for example the number of hires can easily be added up and compared alongside the total transfers and terminations. Multi pass processing of multiple sources e.g. headcount, salary, promotion, performance to allow side to side comparison. Adding value to data to aid analysis through banding, additional domain classifications and groupings to allow higher level analytical reporting and data discovery Calculation of complex measures examples: o    COGs, DSO, DPO, Inventory turns  etc o    Transfers within a Hierarchy or out of / into a hierarchy relative to view point in hierarchy. Configurability and Extensibility support  BI apps offer support for extensibility for various entities as automated extensibility or part of extension methodology Key Flex fields and Descriptive Flex support  Extensible attribute support (JDE)  Conformed Domains ETL Architecture BI apps offer a modular adapter architecture which allows support of multiple product lines into a single conformed model Multi Source Multi Technology Orchestration – creates load plan taking into account task dependencies and customers deployment to generate a plan based on a customers of multiple complex etl tasks Plan optimization allowing parallel ETL tasks Oracle: Bit map indexes and partition management High availability support    Follow the sun support. TCO BI apps support several utilities / capabilities that help with overall total cost of ownership and ensure a rapid implementation Improved cost of ownership – lower cost to deploy On-going support for new versions of the source application Task based setups flows Data Lineage Functional setup performed in Web UI by Functional person Configuration Test to Production support Security BI apps support both data and object security enabling implementations to quickly configure the application as per the reporting security needs Fine grain object security at report / dashboard and presentation catalog level Data Security integration with source systems  Extensible to support external data security rules Extensive Set of KPIs Over 7000 base and derived metrics across all modules Time series calculations (YoY, % growth etc) Common Currency and UOM reporting Cross subject area KPIs (analyzing HR vs GL data, drill from GL to AP/AR, etc) Prebuilt reports and dashboards 3000+ prebuilt reports supporting a large number of industries Hundreds of role based dashboards Dynamic currency conversion at dashboard level Highly tuned Performance The BI apps have been tuned over the years for both a very performant ETL and dashboard performance. The applications use best practises and advanced database features to enable the best possible performance. Optimized data model for BI and analytic queries Prebuilt aggregates& the ability for customers to create their own aggregates easily on warehouse facts allows for scalable end user performance Incremental extracts and loads Incremental Aggregate build Automatic table index and statistics management Parallel ETL loads Source system deletes handling Low latency extract with Golden Gate Micro ETL support Bitmap Indexes Partitioning support Modularized deployment, start small and add other subject areas seamlessly Source Specfic Staging and Real Time Schema Support for source specific operational reporting schema for EBS, PSFT, Siebel and JDE Application Integrations The BI apps also allow for integration with source systems as well as other applications that provide value add through BI and enable BI consumption during operational decision making Embedded dashboards for Fusion, EBS and Siebel applications Action Link support Marketing Segmentation Sales Predictor Dashboard Territory Management External Integrations The BI apps data integration choices include support for loading extenral data External data enrichment choices : UNSPSC, Item class etc. Extensible Spend Classification Broad Deployment Choices Exalytics support Databases :  Oracle, Exadata, Teradata, DB2, MSSQL ETL tool of choice : ODI (coming), Informatica Extensible and Customizable Extensible architecture and Methodology to add custom and external content Upgradable across releases

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  • Random process hangs after clean install

    - by Toshe
    After installing fresh Kubuntu 11.04 Natty on my desktop PC, I experienced some issues with application and process hangs. There is also a problem with my USB 3 hard disk. These sort of problems did not happen on Kubuntu 10.10 installed on the same PC (on separate partition). The hangs manifest themselves with kernel log messages like these: [ 960.480151] INFO: task amarok:2505 blocked for more than 120 seconds. [ 960.480153] "echo 0 > /proc/sys/kernel/hung_task_timeout_secs" disables this message. [ 960.480155] amarok D 0000000000000000 0 2505 1 0x00000000 [ 960.480158] ffff8800a556bb38 0000000000000086 ffff8800a556bfd8 ffff8800a556a000 [ 960.480162] 0000000000013d00 ffff8800cb7f3178 ffff8800a556bfd8 0000000000013d00 [ 960.480165] ffffffff81a0b020 ffff8800cb7f2dc0 ffffea000242ac58 ffff88012704c870 [ 960.480169] Call Trace: [ 960.480172] [<ffffffff815c19f7>] __mutex_lock_slowpath+0xf7/0x180 [ 960.480175] [<ffffffff815c144b>] mutex_lock+0x2b/0x50 [ 960.480180] [<ffffffffa0d0ad42>] video_open+0x102/0x400 [cx8800] [ 960.480183] [<ffffffff815c2cbe>] ? _raw_spin_lock+0xe/0x20 [ 960.480186] [<ffffffff8117c55d>] ? __d_lookup+0x10d/0x170 [ 960.480191] [<ffffffffa0ca0731>] v4l2_open+0x101/0x130 [videodev] [ 960.480194] [<ffffffff81168f4a>] chrdev_open+0xda/0x1f0 [ 960.480197] [<ffffffff81168e70>] ? chrdev_open+0x0/0x1f0 [ 960.480200] [<ffffffff81162cee>] __dentry_open+0xce/0x2f0 [ 960.480202] [<ffffffff8116ef33>] ? generic_permission+0x23/0xc0 [ 960.480205] [<ffffffff811641e1>] nameidata_to_filp+0x71/0x80 [ 960.480208] [<ffffffff811733c8>] finish_open+0xc8/0x1b0 [ 960.480210] [<ffffffff811725b7>] ? do_path_lookup+0x87/0x160 [ 960.480213] [<ffffffff81173b88>] do_filp_open+0x2c8/0x7c0 [ 960.480216] [<ffffffff81172902>] ? user_path_at+0x62/0xa0 [ 960.480219] [<ffffffff81131d4d>] ? handle_mm_fault+0x16d/0x250 [ 960.480222] [<ffffffff812e6c47>] ? __strncpy_from_user+0x27/0x60 [ 960.480225] [<ffffffff81180ea7>] ? alloc_fd+0xf7/0x150 [ 960.480228] [<ffffffff8116425a>] do_sys_open+0x6a/0x150 [ 960.480230] [<ffffffff81164360>] sys_open+0x20/0x30 [ 960.480233] [<ffffffff8100c002>] system_call_fastpath+0x16/0x1b [ 1080.480027] INFO: task knotify4:1663 blocked for more than 120 seconds. [ 1080.480030] "echo 0 > /proc/sys/kernel/hung_task_timeout_secs" disables this message. [ 1080.480032] knotify4 D 0000000000000000 0 1663 1 0x00000000 [ 1080.480036] ffff880123a2bb28 0000000000000082 ffff880123a2bfd8 ffff880123a2a000 [ 1080.480040] 0000000000013d00 ffff880121003178 ffff880123a2bfd8 0000000000013d00 [ 1080.480044] ffff8800cb7e16e0 ffff880121002dc0 ffffffff81060a27 ffff88012704c870 [ 1080.480048] Call Trace: [ 1080.480054] [<ffffffff81060a27>] ? mutex_spin_on_owner+0x97/0xd0 [ 1080.480059] [<ffffffff815c19f7>] __mutex_lock_slowpath+0xf7/0x180 [ 1080.480069] [<ffffffff812e4f61>] ? vsnprintf+0x221/0x620 [ 1080.480072] [<ffffffff815c144b>] mutex_lock+0x2b/0x50 [ 1080.480076] [<ffffffffa0b2d10f>] cx8802_request_acquire+0x5f/0xf0 [cx8802] [ 1080.480081] [<ffffffffa0e87e08>] mpeg_open+0x78/0x270 [cx88_blackbird] [ 1080.480084] [<ffffffff8117c55d>] ? __d_lookup+0x10d/0x170 [ 1080.480092] [<ffffffffa0ca0731>] v4l2_open+0x101/0x130 [videodev] [ 1080.480096] [<ffffffff81168f4a>] chrdev_open+0xda/0x1f0 [ 1080.480099] [<ffffffff81168e70>] ? chrdev_open+0x0/0x1f0 [ 1080.480102] [<ffffffff81162cee>] __dentry_open+0xce/0x2f0 [ 1080.480105] [<ffffffff8116ef33>] ? generic_permission+0x23/0xc0 [ 1080.480108] [<ffffffff811641e1>] nameidata_to_filp+0x71/0x80 [ 1080.480111] [<ffffffff811733c8>] finish_open+0xc8/0x1b0 [ 1080.480113] [<ffffffff811725b7>] ? do_path_lookup+0x87/0x160 [ 1080.480116] [<ffffffff81173b88>] do_filp_open+0x2c8/0x7c0 [ 1080.480119] [<ffffffff81172902>] ? user_path_at+0x62/0xa0 [ 1080.480122] [<ffffffff811663f1>] ? get_empty_filp+0xa1/0x170 [ 1080.480125] [<ffffffff812e6c47>] ? __strncpy_from_user+0x27/0x60 [ 1080.480128] [<ffffffff81180ea7>] ? alloc_fd+0xf7/0x150 [ 1080.480131] [<ffffffff8116425a>] do_sys_open+0x6a/0x150 [ 1080.480134] [<ffffffff81164360>] sys_open+0x20/0x30 [ 1080.480137] [<ffffffff8100c002>] system_call_fastpath+0x16/0x1b [ 1080.480147] INFO: task dolphin:1842 blocked for more than 120 seconds. [ 1080.480148] "echo 0 > /proc/sys/kernel/hung_task_timeout_secs" disables this message. [ 1080.480150] dolphin D 0000000000000000 0 1842 1 0x00000004 [ 1080.480154] ffff8800cb4f3b38 0000000000000082 ffff8800cb4f3fd8 ffff8800cb4f2000 [ 1080.480157] 0000000000013d00 ffff8800cb7f4858 ffff8800cb4f3fd8 0000000000013d00 [ 1080.480161] ffffffff81a0b020 ffff8800cb7f44a0 ffffea000267b0d0 ffff88012704c870 [ 1080.480164] Call Trace: [ 1080.480168] [<ffffffff815c19f7>] __mutex_lock_slowpath+0xf7/0x180 [ 1080.480171] [<ffffffff815c144b>] mutex_lock+0x2b/0x50 [ 1080.480176] [<ffffffffa0d0ad42>] video_open+0x102/0x400 [cx8800] [ 1080.480179] [<ffffffff815c2cbe>] ? _raw_spin_lock+0xe/0x20 [ 1080.480181] [<ffffffff8117c55d>] ? __d_lookup+0x10d/0x170 [ 1080.480186] [<ffffffffa0ca0731>] v4l2_open+0x101/0x130 [videodev] [ 1080.480190] [<ffffffff81168f4a>] chrdev_open+0xda/0x1f0 [ 1080.480192] [<ffffffff81168e70>] ? chrdev_open+0x0/0x1f0 [ 1080.480195] [<ffffffff81162cee>] __dentry_open+0xce/0x2f0 [ 1080.480198] [<ffffffff8116ef33>] ? generic_permission+0x23/0xc0 [ 1080.480200] [<ffffffff811641e1>] nameidata_to_filp+0x71/0x80 [ 1080.480203] [<ffffffff811733c8>] finish_open+0xc8/0x1b0 [ 1080.480206] [<ffffffff811725b7>] ? do_path_lookup+0x87/0x160 [ 1080.480208] [<ffffffff81173b88>] do_filp_open+0x2c8/0x7c0 [ 1080.480211] [<ffffffff81172902>] ? user_path_at+0x62/0xa0 [ 1080.480214] [<ffffffff81131d4d>] ? handle_mm_fault+0x16d/0x250 [ 1080.480217] [<ffffffff812e6c47>] ? __strncpy_from_user+0x27/0x60 [ 1080.480220] [<ffffffff81180ea7>] ? alloc_fd+0xf7/0x150 [ 1080.480223] [<ffffffff8116425a>] do_sys_open+0x6a/0x150 [ 1080.480225] [<ffffffff81164360>] sys_open+0x20/0x30 [ 1080.480228] [<ffffffff8100c002>] system_call_fastpath+0x16/0x1b Attempts to kill the hung process are unsuccessful: root@deskpc:~# ps -ef |grep amarok myuser 2505 1 0 10:47 ? 00:00:00 /usr/bin/amarok root 2747 2020 0 11:06 pts/3 00:00:00 grep --color=auto amarok root@deskpc:~# kill -9 2505 root@deskpc:~# ps -ef |grep amarok myuser 2505 1 0 10:47 ? 00:00:00 /usr/bin/amarok root 2749 2020 0 11:06 pts/3 00:00:00 grep --color=auto amarok root@deskpc:~# kill -9 2505 root@deskpc:~# ps -ef |grep amarok myuser 2505 1 0 10:47 ? 00:00:00 /usr/bin/amarok root 2751 2020 0 11:06 pts/3 00:00:00 grep --color=auto amarok root@deskpc:~# When trying to access my external USB3 disk, the following kernel message is observed: [ 2169.330012] xhci_hcd 0000:06:00.0: Timeout while waiting for a slot [ 2169.330018] hub 3-0:1.0: couldn't allocate port 1 usb_device I am not sure the two problems (application hangs and USB3 timeouts are related) but they do not happen under Kubuntu 10.10. Judging by the dmesg messages, it looks to me that this is a kernel (or potentially kernel driver) problem, but not sure how to debug it. Any ideas? I ran apport-bug, but it advised me to post a question here first. Shall I report the issue on the official K/Ubuntu bugzilla?

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  • Error Installing COM+ (Error Code: 80131501)

    - by Regina Foo
    I've written a class library that reads from an xml file and return the result as a string. But when I want to install it as a COM+ component, an error occurred (Error Code: 80131501). I checked the event log and the details of the error is: Installation of 'C:\Users\User\Documents\Visual Studio 2005\Projects\InteropSOA\InteropSOA\bin\Debug\InteropSOA.dll' into '{28E82165-AD74-4E16-90C9-0C5CE7DA97AA}' failed with an exception: System.EnterpriseServices.RegistrationException: FATAL: Could not find component 'InteropSOA.ConfigReader' we just installed. at System.EnterpriseServices.RegistrationDriver.InstallAssembly(RegistrationConfig regConfig, Object obSync) at System.EnterpriseServices.RegistrationHelper.InstallAssemblyFromConfig(RegistrationConfig& regConfig) at System.EnterpriseServices.RegistrationHelper.InstallAssembly(String assembly, String& application, String partition, String& tlb, InstallationFlags installFlags) at System.EnterpriseServices.Internal.ComManagedImportUtil.InstallAssembly(String asmpath, String parname, String appname) Below are the steps I've done while developing the class library: Added "System.EnterpriseServices" to Reference. Imported the reference to the class. Declared the class as "ServicedComponent". Set project properties ("Make assembly COM-visible" checked, "Register for COM Interop" checked, Signed the assembly with a strong key file name.) Here are my codes: using System; using System.Collections.Generic; using System.Text; using System.Xml; using System.Xml.XPath; using System.EnterpriseServices; namespace InteropSOA { public class ConfigReader : ServicedComponent { // xml file name private string strFileName; // type of request private string strRequest = ""; // response string private string strResponse = ""; // declarations for xPath private XPathDocument doc; private XPathNavigator nav; private XPathExpression expr; private XPathNodeIterator iterator; private XmlTextReader reader; private XmlDocument xmlDoc; public ConfigReader(string strFile, string request) { this.strFileName = strFile; this.strRequest = request; } public ConfigReader() { //default contructor } // reader for console program public void ReadXML() { doc = new XPathDocument(strFileName); nav = doc.CreateNavigator(); // compile xPath expression expr = nav.Compile("/Msg/" + strRequest + "/*"); iterator = nav.Select(expr); // interate on the node set try { while (iterator.MoveNext()) { XPathNavigator nav2 = iterator.Current.Clone(); strResponse += nav2.Value + "|"; } } catch (Exception ex) { Console.WriteLine(ex.Message); } strResponse = strResponse.Substring(0, strResponse.Length-1); Console.WriteLine("Response string = " + strResponse); } public void WriteXML(string strRequest, string strElement, string strValue) { reader = new XmlTextReader(strFileName); xmlDoc = new XmlDocument(); xmlDoc.Load(reader); reader.Close(); XmlNode node; XmlElement root = xmlDoc.DocumentElement; node = root.SelectSingleNode("/Msg/" + strRequest + "/" + strElement); node.InnerText = strValue; xmlDoc.Save(strFileName); } // reader for ASP.NET public string ReadXMLElement() { doc = new XPathDocument(strFileName); nav = doc.CreateNavigator(); // compile xPath expression expr = nav.Compile("/Msg/" + strRequest + "/*"); iterator = nav.Select(expr); // interate on the node set try { while (iterator.MoveNext()) { XPathNavigator nav2 = iterator.Current.Clone(); strResponse += nav2.Value + "|"; } } catch (Exception ex) { Console.WriteLine(ex.Message); } strResponse = strResponse.Substring(0, strResponse.Length - 1); return strResponse; } } }

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  • Problem with RAID5 (mdadm) - disk detached

    - by poscaman
    Having these lines in /var/log/syslog Apr 18 16:53:05 Server kernel: [4487878.816036] ata4: EH in SWNCQ mode,QC:qc_active 0x1 sactive 0x1 Apr 18 16:53:05 Server kernel: [4487878.816058] ata4: SWNCQ:qc_active 0x1 defer_bits 0x0 last_issue_tag 0x0 Apr 18 16:53:05 Server kernel: [4487878.816059] dhfis 0x1 dmafis 0x1 sdbfis 0x0 Apr 18 16:53:05 Server kernel: [4487878.816093] ata4: ATA_REG 0x40 ERR_REG 0x0 Apr 18 16:53:05 Server kernel: [4487878.816108] ata4: tag : dhfis dmafis sdbfis sacitve Apr 18 16:53:05 Server kernel: [4487878.816125] ata4: tag 0x0: 1 1 0 1 Apr 18 16:53:05 Server kernel: [4487878.816150] ata4.00: exception Emask 0x0 SAct 0x1 SErr 0x0 action 0x6 frozen Apr 18 16:53:05 Server kernel: [4487878.816178] ata4.00: failed command: WRITE FPDMA QUEUED Apr 18 16:53:05 Server kernel: [4487878.816199] ata4.00: cmd 61/08:00:00:88:e0/00:00:e8:00:00/40 tag 0 ncq 4096 out Apr 18 16:53:05 Server kernel: [4487878.816200] res 40/00:00:01:4f:c2/00:00:00:00:00/00 Emask 0x4 (timeout) Apr 18 16:53:05 Server kernel: [4487878.816253] ata4.00: status: { DRDY } Apr 18 16:53:05 Server kernel: [4487878.816272] ata4: hard resetting link Apr 18 16:53:05 Server kernel: [4487878.816274] ata4: nv: skipping hardreset on occupied port Apr 18 16:53:06 Server kernel: [4487879.676029] ata4: SATA link up 3.0 Gbps (SStatus 123 SControl 300) Apr 18 16:53:07 Server kernel: [4487880.416749] ata4.00: n_sectors mismatch 3907029168 != 268435455 Apr 18 16:53:07 Server kernel: [4487880.416752] ata4.00: revalidation failed (errno=-19) Apr 18 16:53:07 Server kernel: [4487880.416773] ata4.00: limiting speed to UDMA/133:PIO2 Apr 18 16:53:11 Server kernel: [4487884.676024] ata4: hard resetting link Apr 18 16:53:11 Server kernel: [4487884.676027] ata4: nv: skipping hardreset on occupied port Apr 18 16:53:12 Server kernel: [4487885.144032] ata4: SATA link up 3.0 Gbps (SStatus 123 SControl 300) Apr 18 16:53:12 Server kernel: [4487885.240185] ata4.00: failed to IDENTIFY (INIT_DEV_PARAMS failed, err_mask=0x80) Apr 18 16:53:12 Server kernel: [4487885.240190] ata4.00: revalidation failed (errno=-5) Apr 18 16:53:12 Server kernel: [4487885.240210] ata4.00: disabled Apr 18 16:53:17 Server kernel: [4487890.144023] ata4: hard resetting link Apr 18 16:53:17 Server kernel: [4487891.024033] ata4: SATA link up 3.0 Gbps (SStatus 123 SControl 300) Apr 18 16:53:17 Server kernel: [4487891.033357] ata4.00: ATA-8: WDC WD20EARS-00S8B1, 80.00A80, max UDMA/133 Apr 18 16:53:17 Server kernel: [4487891.033360] ata4.00: 3907029168 sectors, multi 1: LBA48 NCQ (depth 31/32) Apr 18 16:53:17 Server kernel: [4487891.048347] ata4.00: configured for UDMA/133 Apr 18 16:53:17 Server kernel: [4487891.048361] sd 3:0:0:0: [sdc] Result: hostbyte=DID_OK driverbyte=DRIVER_SENSE Apr 18 16:53:17 Server kernel: [4487891.048365] sd 3:0:0:0: [sdc] Sense Key : Aborted Command [current] [descriptor] Apr 18 16:53:17 Server kernel: [4487891.048369] Descriptor sense data with sense descriptors (in hex): Apr 18 16:53:17 Server kernel: [4487891.048371] 72 0b 00 00 00 00 00 0c 00 0a 80 00 00 00 00 00 Apr 18 16:53:17 Server kernel: [4487891.048378] 00 00 00 00 Apr 18 16:53:17 Server kernel: [4487891.048382] sd 3:0:0:0: [sdc] Add. Sense: No additional sense information Apr 18 16:53:17 Server kernel: [4487891.048385] sd 3:0:0:0: [sdc] CDB: Write(10): 2a 00 e8 e0 88 00 00 00 08 00 Apr 18 16:53:17 Server kernel: [4487891.048393] end_request: I/O error, dev sdc, sector 3907028992 Apr 18 16:53:17 Server kernel: [4487891.048420] sd 3:0:0:0: rejecting I/O to offline device Apr 18 16:53:17 Server kernel: [4487891.048440] sd 3:0:0:0: rejecting I/O to offline device Apr 18 16:53:17 Server kernel: [4487891.048458] end_request: I/O error, dev sdc, sector 3907028992 Apr 18 16:53:17 Server kernel: [4487891.048477] md: super_written gets error=-5, uptodate=0 Apr 18 16:53:17 Server kernel: [4487891.048482] raid5: Disk failure on sdc, disabling device. Apr 18 16:53:17 Server kernel: [4487891.048483] raid5: Operation continuing on 3 devices. Apr 18 16:53:17 Server kernel: [4487891.048525] ata4: EH complete Apr 18 16:53:17 Server kernel: [4487891.048554] sd 3:0:0:0: rejecting I/O to offline device Apr 18 16:53:17 Server kernel: [4487891.048576] sd 3:0:0:0: rejecting I/O to offline device Apr 18 16:53:17 Server kernel: [4487891.048596] sd 3:0:0:0: rejecting I/O to offline device Apr 18 16:53:17 Server kernel: [4487891.048615] sd 3:0:0:0: [sdc] READ CAPACITY(16) failed Apr 18 16:53:17 Server kernel: [4487891.048617] sd 3:0:0:0: [sdc] Result: hostbyte=DID_NO_CONNECT driverbyte=DRIVER_OK Apr 18 16:53:17 Server kernel: [4487891.048620] sd 3:0:0:0: [sdc] Sense not available. Apr 18 16:53:17 Server kernel: [4487891.048624] sd 3:0:0:0: rejecting I/O to offline device Apr 18 16:53:17 Server kernel: [4487891.048643] sd 3:0:0:0: rejecting I/O to offline device Apr 18 16:53:17 Server kernel: [4487891.048663] sd 3:0:0:0: rejecting I/O to offline device Apr 18 16:53:17 Server kernel: [4487891.048681] sd 3:0:0:0: [sdc] READ CAPACITY failed Apr 18 16:53:17 Server kernel: [4487891.048683] sd 3:0:0:0: [sdc] Result: hostbyte=DID_NO_CONNECT driverbyte=DRIVER_OK Apr 18 16:53:17 Server kernel: [4487891.048685] sd 3:0:0:0: [sdc] Sense not available. Apr 18 16:53:17 Server kernel: [4487891.048689] sd 3:0:0:0: rejecting I/O to offline device Apr 18 16:53:17 Server kernel: [4487891.048709] sd 3:0:0:0: rejecting I/O to offline device Apr 18 16:53:17 Server kernel: [4487891.048800] sd 3:0:0:0: rejecting I/O to offline device Apr 18 16:53:17 Server kernel: [4487891.048860] sd 3:0:0:0: rejecting I/O to offline device Apr 18 16:53:17 Server kernel: [4487891.049028] sd 3:0:0:0: [sdc] Asking for cache data failed Apr 18 16:53:17 Server kernel: [4487891.049048] sd 3:0:0:0: [sdc] Assuming drive cache: write through Apr 18 16:53:17 Server kernel: [4487891.049071] sdc: detected capacity change from 2000398934016 to 0 Apr 18 16:53:17 Server kernel: [4487891.049080] ata4.00: detaching (SCSI 3:0:0:0) Apr 18 16:53:18 Server kernel: [4487891.061149] sd 3:0:0:0: [sdc] Stopping disk Apr 18 16:53:18 Server kernel: [4487891.485492] RAID5 conf printout: Apr 18 16:53:18 Server kernel: [4487891.485496] --- rd:4 wd:3 Apr 18 16:53:18 Server kernel: [4487891.485500] disk 0, o:1, dev:sdb Apr 18 16:53:18 Server kernel: [4487891.485502] disk 1, o:0, dev:sdc Apr 18 16:53:18 Server kernel: [4487891.485504] disk 2, o:1, dev:sdd Apr 18 16:53:18 Server kernel: [4487891.485506] disk 3, o:1, dev:sde Apr 18 16:53:18 Server kernel: [4487891.497014] RAID5 conf printout: Apr 18 16:53:18 Server kernel: [4487891.497016] --- rd:4 wd:3 Apr 18 16:53:18 Server kernel: [4487891.497018] disk 0, o:1, dev:sdb Apr 18 16:53:18 Server kernel: [4487891.497019] disk 2, o:1, dev:sdd Apr 18 16:53:18 Server kernel: [4487891.497021] disk 3, o:1, dev:sde Apr 18 16:53:18 Server kernel: [4487891.838719] scsi 3:0:0:0: Direct-Access ATA WDC WD20EARS-00S 80.0 PQ: 0 ANSI: 5 Apr 18 16:53:18 Server kernel: [4487891.838886] sd 3:0:0:0: Attached scsi generic sg3 type 0 Apr 18 16:53:18 Server kernel: [4487891.838911] sd 3:0:0:0: [sdf] 3907029168 512-byte logical blocks: (2.00 TB/1.81 TiB) Apr 18 16:53:18 Server kernel: [4487891.838964] sd 3:0:0:0: [sdf] Write Protect is off Apr 18 16:53:18 Server kernel: [4487891.838967] sd 3:0:0:0: [sdf] Mode Sense: 00 3a 00 00 Apr 18 16:53:18 Server kernel: [4487891.838988] sd 3:0:0:0: [sdf] Write cache: enabled, read cache: enabled, doesn't support DPO or FUA Apr 18 16:53:20 Server kernel: [4487891.839147] sdf: unknown partition table Apr 18 16:53:20 Server kernel: [4487893.130026] sd 3:0:0:0: [sdf] Attached SCSI disk Right now, i'm unable to do anything on /dev/sdc. Is there any way to try to re-attach it? I don't want to power-down the server unless absolutely necessary System: Debian Stable 2.6.32-5-amd64 mdadm version 3.1.4-1+8efb9d1 cat /proc/mdstat Personalities : [raid6] [raid5] [raid4] md0 : active raid5 sdb[0] sdc[4](F) sde[3] sdd[2] 5860543488 blocks level 5, 64k chunk, algorithm 2 [4/3] [U_UU] unused devices: <none> mdadm --examine --scan ARRAY /dev/md0 UUID=1a7744b5:912ec7af:f82a9565:e3b453b4

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