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  • plupload variable upload path?

    - by SoulieBaby
    Hi all, I'm using plupload to upload files to my server (http://www.plupload.com/index.php), however I wanted to know if there was any way of making the upload path variable. Basically I need to select the upload path folder first, then choose the files using plupload and then upload to the initially selected folder. I've tried a few different ways but I can't seem to pass along the variable folder path to the upload.php file. I'm using the flash version of plupload. If someone could help me out, that would be fantastic!! :) Here's my plupload jquery: jQuery.noConflict(); jQuery(document).ready(function() { jQuery("#flash_uploader").pluploadQueue({ // General settings runtimes: 'flash', url: '/assets/upload/upload.php', max_file_size: '10mb', chunk_size: '1mb', unique_names: false, // Resize images on clientside if we can resize: {width: 500, height: 350, quality: 100}, // Flash settings flash_swf_url: '/assets/upload/flash/plupload.flash.swf' }); }); And here's the upload.php file: <?php /** * upload.php * * Copyright 2009, Moxiecode Systems AB * Released under GPL License. * * License: http://www.plupload.com/license * Contributing: http://www.plupload.com/contributing */ // HTTP headers for no cache etc header('Content-type: text/plain; charset=UTF-8'); header("Expires: Mon, 26 Jul 1997 05:00:00 GMT"); header("Last-Modified: ".gmdate("D, d M Y H:i:s")." GMT"); header("Cache-Control: no-store, no-cache, must-revalidate"); header("Cache-Control: post-check=0, pre-check=0", false); header("Pragma: no-cache"); // Settings $targetDir = $_SERVER['DOCUMENT_ROOT']."/tmp/uploads"; //temp directory <- need these to be variable $finalDir = $_SERVER['DOCUMENT_ROOT']."/tmp/uploads2"; //final directory <- need these to be variable $cleanupTargetDir = true; // Remove old files $maxFileAge = 60 * 60; // Temp file age in seconds // 5 minutes execution time @set_time_limit(5 * 60); // usleep(5000); // Get parameters $chunk = isset($_REQUEST["chunk"]) ? $_REQUEST["chunk"] : 0; $chunks = isset($_REQUEST["chunks"]) ? $_REQUEST["chunks"] : 0; $fileName = isset($_REQUEST["name"]) ? $_REQUEST["name"] : ''; // Clean the fileName for security reasons $fileName = preg_replace('/[^\w\._]+/', '', $fileName); // Create target dir if (!file_exists($targetDir)) @mkdir($targetDir); // Remove old temp files if (is_dir($targetDir) && ($dir = opendir($targetDir))) { while (($file = readdir($dir)) !== false) { $filePath = $targetDir . DIRECTORY_SEPARATOR . $file; // Remove temp files if they are older than the max age if (preg_match('/\\.tmp$/', $file) && (filemtime($filePath) < time() - $maxFileAge)) @unlink($filePath); } closedir($dir); } else die('{"jsonrpc" : "2.0", "error" : {"code": 100, "message": "Failed to open temp directory."}, "id" : "id"}'); // Look for the content type header if (isset($_SERVER["HTTP_CONTENT_TYPE"])) $contentType = $_SERVER["HTTP_CONTENT_TYPE"]; if (isset($_SERVER["CONTENT_TYPE"])) $contentType = $_SERVER["CONTENT_TYPE"]; if (strpos($contentType, "multipart") !== false) { if (isset($_FILES['file']['tmp_name']) && is_uploaded_file($_FILES['file']['tmp_name'])) { // Open temp file $out = fopen($targetDir . DIRECTORY_SEPARATOR . $fileName, $chunk == 0 ? "wb" : "ab"); if ($out) { // Read binary input stream and append it to temp file $in = fopen($_FILES['file']['tmp_name'], "rb"); if ($in) { while ($buff = fread($in, 4096)) fwrite($out, $buff); } else die('{"jsonrpc" : "2.0", "error" : {"code": 101, "message": "Failed to open input stream."}, "id" : "id"}'); fclose($out); unlink($_FILES['file']['tmp_name']); } else die('{"jsonrpc" : "2.0", "error" : {"code": 102, "message": "Failed to open output stream."}, "id" : "id"}'); } else die('{"jsonrpc" : "2.0", "error" : {"code": 103, "message": "Failed to move uploaded file."}, "id" : "id"}'); } else { // Open temp file $out = fopen($targetDir . DIRECTORY_SEPARATOR . $fileName, $chunk == 0 ? "wb" : "ab"); if ($out) { // Read binary input stream and append it to temp file $in = fopen("php://input", "rb"); if ($in) { while ($buff = fread($in, 4096)){ fwrite($out, $buff); } } else die('{"jsonrpc" : "2.0", "error" : {"code": 101, "message": "Failed to open input stream."}, "id" : "id"}'); fclose($out); } else die('{"jsonrpc" : "2.0", "error" : {"code": 102, "message": "Failed to open output stream."}, "id" : "id"}'); } //Moves the file from $targetDir to $finalDir after receiving the final chunk if($chunk == ($chunks-1)){ rename($targetDir . DIRECTORY_SEPARATOR . $fileName, $finalDir . DIRECTORY_SEPARATOR . $fileName); } // Return JSON-RPC response die('{"jsonrpc" : "2.0", "result" : null, "id" : "id"}'); ?>

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  • Problem With View Helpers

    - by Richard Knop
    I wrote few custom view helpers but I have a little trouble using them. If I add the helper path in controller action like this: public function fooAction() { $this->view->addHelperPath('My/View/Helper', 'My_View_Helper'); } Then I can use the views from that path without a problem. But when I add the path in the bootstrap file like this: protected function _initView() { $this->view = new Zend_View(); $this->view->doctype('XHTML1_STRICT'); $this->view->headScript()->appendFile($this->view->baseUrl() . '/js/jquery-ui/jquery.js'); $this->view->headMeta()->appendHttpEquiv('Content-Type', 'text/html; charset=UTF-8'); $this->view->headMeta()->appendHttpEquiv('Content-Style-Type', 'text/css'); $this->view->headMeta()->appendHttpEquiv('Content-Language', 'sk'); $this->view->headLink()->appendStylesheet($this->view->baseUrl() . '/css/reset.css'); $this->view->addHelperPath('My/View/Helper', 'My_View_Helper'); } Then the view helpers don't work. Why is that? It's too troublesome to add the path in every controller action. Here is an example of how my custom view helpers look: class My_View_Helper_FooBar { public function fooBar() { return 'hello world'; } } I use them like this in views: <?php echo $this->fooBar(); ?> Should I post my whole bootstrap file? UPDATE: Added complete bootstrap file just in case: class Bootstrap extends Zend_Application_Bootstrap_Bootstrap { protected function _initFrontController() { $this->frontController = Zend_Controller_Front::getInstance(); $this->frontController->addModuleDirectory(APPLICATION_PATH . '/modules'); Zend_Controller_Action_HelperBroker::addPath( 'My/Controller/Action/Helper', 'My_Controller_Action_Helper' ); $this->frontController->registerPlugin(new My_Controller_Plugin_Auth()); $this->frontController->setBaseUrl('/'); } protected function _initView() { $this->view = new Zend_View(); $this->view->doctype('XHTML1_STRICT'); $this->view->headScript()->appendFile($this->view->baseUrl() . '/js/jquery-ui/jquery.js'); $this->view->headMeta()->appendHttpEquiv('Content-Type', 'text/html; charset=UTF-8'); $this->view->headMeta()->appendHttpEquiv('Content-Style-Type', 'text/css'); $this->view->headMeta()->appendHttpEquiv('Content-Language', 'sk'); $this->view->headLink()->appendStylesheet($this->view->baseUrl() . '/css/reset.css'); $this->view->addHelperPath('My/View/Helper', 'My_View_Helper'); } protected function _initDb() { $this->configuration = new Zend_Config_Ini(APPLICATION_PATH . '/configs/application.ini', APPLICATION_ENVIRONMENT); $this->dbAdapter = Zend_Db::factory($this->configuration->database); Zend_Db_Table_Abstract::setDefaultAdapter($this->dbAdapter); $stmt = new Zend_Db_Statement_Pdo($this->dbAdapter, "SET NAMES 'utf8'"); $stmt->execute(); } protected function _initAuth() { $this->auth = Zend_Auth::getInstance(); } protected function _initCache() { $frontend= array('lifetime' => 7200, 'automatic_serialization' => true); $backend= array('cache_dir' => 'cache'); $this->cache = Zend_Cache::factory('core', 'File', $frontend, $backend); } public function _initTranslate() { $this->translate = new Zend_Translate('Array', BASE_PATH . '/languages/Slovak.php', 'sk_SK'); $this->translate->setLocale('sk_SK'); } protected function _initRegistry() { $this->registry = Zend_Registry::getInstance(); $this->registry->configuration = $this->configuration; $this->registry->dbAdapter = $this->dbAdapter; $this->registry->auth = $this->auth; $this->registry->cache = $this->cache; $this->registry->Zend_Translate = $this->translate; } protected function _initUnset() { unset($this->frontController, $this->view, $this->configuration, $this->dbAdapter, $this->auth, $this->cache, $this->translate, $this->registry); } protected function _initGetRidOfMagicQuotes() { if (get_magic_quotes_gpc()) { function stripslashes_deep($value) { $value = is_array($value) ? array_map('stripslashes_deep', $value) : stripslashes($value); return $value; } $_POST = array_map('stripslashes_deep', $_POST); $_GET = array_map('stripslashes_deep', $_GET); $_COOKIE = array_map('stripslashes_deep', $_COOKIE); $_REQUEST = array_map('stripslashes_deep', $_REQUEST); } } public function run() { $frontController = Zend_Controller_Front::getInstance(); $frontController->dispatch(); } }

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  • Threads to make video out of images

    - by masood
    updates: I think/ suspect the imageIO is not thread safe. shared by all threads. the read() call might use resources that are also shared. Thus it will give the performance of a single thread no matter how many threads used. ? if its correct . what is the solution (in practical code) Single request and response model at one time do not utilizes full network/internet bandwidth, thus resulting in low performance. (benchmark is of half speed utilization or even lower) This is to make a video out of an IP cam that gives a new image on each request. http://149.5.43.10:8001/snapshot.jpg It makes a delay of 3 - 8 seconds no matter what I do. Changed thread no. and thread time intervals, debugged the code by System.out.println statements to see if threads work. All seems normal. Any help? Please show some practical code. You may modify mine. This code works (javascript) with much smoother frame rate and max bandwidth usage. but the later code (java) dont. same 3 to 8 seconds gap. <!DOCTYPE html> <html> <head> <script type="text/javascript"> (function(){ var img="/*url*/"; var interval=50; var pointer=0; function showImg(image,idx) { if(idx<=pointer) return; document.body.replaceChild(image,document.getElementsByTagName("img")[0]); pointer=idx; preload(); } function preload() { var cache=null,idx=0;; for(var i=0;i<5;i++) { idx=Date.now()+interval*(i+1); cache=new Image(); cache.onload=(function(ele,idx){return function(){showImg(ele,idx);};})(cache,idx); cache.src=img+"?"+idx; } } window.onload=function(){ document.getElementsByTagName("img")[0].onload=preload; document.getElementsByTagName("img")[0].src="/*initial url*/"; }; })(); </script> </head> <body> <img /> </body> </html> and of java (with problem) : package camba; import java.applet.Applet; import java.awt.Button; import java.awt.Graphics; import java.awt.Image; import java.awt.Label; import java.awt.Panel; import java.awt.TextField; import java.awt.event.ActionEvent; import java.awt.event.ActionListener; import java.net.URL; import java.security.Timestamp; import java.util.Date; import java.util.concurrent.TimeUnit; import java.util.concurrent.atomic.AtomicBoolean; import javax.imageio.ImageIO; public class Camba extends Applet implements ActionListener{ Image img; TextField textField; Label label; Button start,stop; boolean terminate = false; long viewTime; public void init(){ label = new Label("please enter camera URL "); add(label); textField = new TextField(30); add(textField); start = new Button("Start"); add(start); start.addActionListener(this); stop = new Button("Stop"); add(stop); stop.addActionListener(this); } public void actionPerformed(ActionEvent e){ Button source = (Button)e.getSource(); if(source.getLabel() == "Start"){ for (int i = 0; i < 7; i++) { myThread(50*i); } System.out.println("start..."); } if(source.getLabel() == "Stop"){ terminate = true; System.out.println("stop..."); } } public void paint(Graphics g) { update(g); } public void update(Graphics g){ try{ viewTime = System.currentTimeMillis(); g.drawImage(img, 100, 100, this); } catch(Exception e) { e.printStackTrace(); } } public void myThread(final int sleepTime){ new Thread(new Runnable() { public void run() { while(!terminate){ try { TimeUnit.MILLISECONDS.sleep(sleepTime); } catch (InterruptedException ex) { ex.printStackTrace(); } long requestTime= 0; Image tempImage = null; try { URL pic = null; requestTime= System.currentTimeMillis(); pic = new URL(getDocumentBase(), textField.getText()); tempImage = ImageIO.read(pic); } catch(Exception e) { e.printStackTrace(); } if(requestTime >= /*last view time*/viewTime){ img = tempImage; Camba.this.repaint(); } } }}).start(); System.out.println("thread started..."); } }

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  • SQL SERVER – Introduction to Wait Stats and Wait Types – Wait Type – Day 1 of 28

    - by pinaldave
    I have been working a lot on Wait Stats and Wait Types recently. Last Year, I requested blog readers to send me their respective server’s wait stats. I appreciate their kind response as I have received  Wait stats from my readers. I took each of the results and carefully analyzed them. I provided necessary feedback to the person who sent me his wait stats and wait types. Based on the feedbacks I got, many of the readers have tuned their server. After a while I got further feedbacks on my recommendations and again, I collected wait stats. I recorded the wait stats and my recommendations and did further research. At some point at time, there were more than 10 different round trips of the recommendations and suggestions. Finally, after six month of working my hands on performance tuning, I have collected some real world wisdom because of this. Now I plan to share my findings with all of you over here. Before anything else, please note that all of these are based on my personal observations and opinions. They may or may not match the theory available at other places. Some of the suggestions may not match your situation. Remember, every server is different and consequently, there is more than one solution to a particular problem. However, this series is written with kept wait stats in mind. While I was working on various performance tuning consultations, I did many more things than just tuning wait stats. Today we will discuss how to capture the wait stats. I use the script diagnostic script created by my friend and SQL Server Expert Glenn Berry to collect wait stats. Here is the script to collect the wait stats: -- Isolate top waits for server instance since last restart or statistics clear WITH Waits AS (SELECT wait_type, wait_time_ms / 1000. AS wait_time_s, 100. * wait_time_ms / SUM(wait_time_ms) OVER() AS pct, ROW_NUMBER() OVER(ORDER BY wait_time_ms DESC) AS rn FROM sys.dm_os_wait_stats WHERE wait_type NOT IN ('CLR_SEMAPHORE','LAZYWRITER_SLEEP','RESOURCE_QUEUE','SLEEP_TASK' ,'SLEEP_SYSTEMTASK','SQLTRACE_BUFFER_FLUSH','WAITFOR', 'LOGMGR_QUEUE','CHECKPOINT_QUEUE' ,'REQUEST_FOR_DEADLOCK_SEARCH','XE_TIMER_EVENT','BROKER_TO_FLUSH','BROKER_TASK_STOP','CLR_MANUAL_EVENT' ,'CLR_AUTO_EVENT','DISPATCHER_QUEUE_SEMAPHORE', 'FT_IFTS_SCHEDULER_IDLE_WAIT' ,'XE_DISPATCHER_WAIT', 'XE_DISPATCHER_JOIN', 'SQLTRACE_INCREMENTAL_FLUSH_SLEEP')) SELECT W1.wait_type, CAST(W1.wait_time_s AS DECIMAL(12, 2)) AS wait_time_s, CAST(W1.pct AS DECIMAL(12, 2)) AS pct, CAST(SUM(W2.pct) AS DECIMAL(12, 2)) AS running_pct FROM Waits AS W1 INNER JOIN Waits AS W2 ON W2.rn <= W1.rn GROUP BY W1.rn, W1.wait_type, W1.wait_time_s, W1.pct HAVING SUM(W2.pct) - W1.pct < 99 OPTION (RECOMPILE); -- percentage threshold GO This script uses Dynamic Management View sys.dm_os_wait_stats to collect the wait stats. It omits the system-related wait stats which are not useful to diagnose performance-related bottleneck. Additionally, not OPTION (RECOMPILE) at the end of the DMV will ensure that every time the query runs, it retrieves new data and not the cached data. This dynamic management view collects all the information since the time when the SQL Server services have been restarted. You can also manually clear the wait stats using the following command: DBCC SQLPERF('sys.dm_os_wait_stats', CLEAR); Once the wait stats are collected, we can start analysis them and try to see what is causing any particular wait stats to achieve higher percentages than the others. Many waits stats are related to one another. When the CPU pressure is high, all the CPU-related wait stats show up on top. But when that is fixed, all the wait stats related to the CPU start showing reasonable percentages. It is difficult to have a sure solution, but there are good indications and good suggestions on how to solve this. I will keep this blog post updated as I will post more details about wait stats and how I reduce them. The reference to Book On Line is over here. Of course, I have selected February to run this Wait Stats series. I am already cheating by having the smallest month to run this series. :) Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: DMV, Pinal Dave, PostADay, SQL, SQL Authority, SQL Optimization, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • HTML Presence Controls for Communications Server 14 CodePlex Project

    Showing Presence on the Web If youre running Office Communicator Server 2007 R2, you know that your only out-of-the-box option for showing presence on the web is to use the NameControl ActiveX control that ships as part of Office.  Being an ActiveX control, this obviously means that youre limited to Internet Explorer.  Also, nobody likes ActiveX controls What if you want to show the presence of users in a pure ASP.NET or HTML application and cant assume that the user has Communicator installed you need anASP.NET or HTML presence control.  HTML Presence Controls for Microsoft Communications Server 14 We recently worked with the UC team at Microsoft on a keynote demo for TechEd 2010 in New Orleans.  The demo was for a fictitious airline Fabrikam Airlines that wanted to show the presence of customer service and reservations agents on its website.  Customers could also start an instant message conversation with the agents using a Silverlight web chat window that used WCF to communicate with the backend UCMA application. We built HTML Presence Controls that use AJAX to poll a REST-based WCF service running in IIS and hosting a UCMA 3.0 presence subscription application.   Microsoft has graciously allowed us to publish these on CodePlex so that the development community can benefit from them:  http://htmlpresencecontrols.codeplex.com/ We will be maintaining the CodePlex project as new builds of UCMA 3.0 become available.  Check out the project home page on CodePlex for some more in-depth details on how the controls are implemented. ASP.NET Server Control Implementation Were providing an ASP.NET Server Control implementation that you can use stand-alone or in a GridView or Repeater (or other layout control).  The control has properties that allow you to control its appearance, e.g. you can choose whether or not to show the contacts name or availability text. You can also use the server control in a layout control such as a GridView by putting it in a TemplateColumn and binding to the Sip Uri in the data source. Disclaimer Once we started working on these, we realized why Microsoft hasnt shipped such controls as part of the product.  There are some tradeoffs you have to be aware of when using these controls, heres the high level. Privacy The backend UCMA 3.0 application that subscribes to presence of contacts runs as a trusted application and can thus retrieve the presence of any user in the organization.  Theres currently no good way in UCMA to apply any privacy rules to ensure that the consumer of the presence controls has permission to see the presence of the contacts that the controls are bound to.  Just to be absolutely crystal clear These controls provide a way to query the presence of any user in the organization, regardless of the privacy relationship between the person consuming the controls and the contacts whose presence is being displayed. Were exploring options for a design pattern that would allow you to inject some privacy controls.  Keep in mind though that you would most likely be responsible for implementing this logic, as there is currently no functionality in UCMA that allows you to do that. Polling the WCF REST Service The controls poll the backend WCF service to retrieve the presence of contacts - you can control the refresh interval so that they poll less often. We implemented a caching layer so that the WCF service is always communicating with a presence cache it never communicates directly with Communications Server.  For example, if your web page is showing the presence of sip:[email protected] and 500 people have the page open, the presence cache only contains one instance of the subscription Communications Server is not being polled 500 times for the presence of that contact. Once the presence of a contact changes, it is updated in the cache.  There are some server-based push mechanisms that would work nicely here, such as the one that Outlook Web Access 2010 uses.  Unfortunately we didnt have time to explore these options. Community Contribution Take a look at the project Issue Tracker, there are a couple of things we can use some help with.  Shoot me a note if youre interested in contributing to the project. Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • SQL Server – SafePeak “Logon Trigger” Feature for Managing Data Access

    - by pinaldave
    Lately I received an interesting question about the abilities of SafePeak for SQL Server acceleration software: Q: “I would like to use SafePeak to make my CRM application faster. It is an application we bought from some vendor, after a while it became slow and we can’t reprogram it. SafePeak automated caching sounds like an easy and good solution for us. But, in my application there are many servers and different other applications services that address its main database, and some even change data, and I feel that there is a chance that some servers that during the connection process we may miss some. Is there a way to ensure that SafePeak will be aware of all connections to the SQL Server, so its cache will remain intact?” Interesting question, as I remember that SafePeak (http://www.safepeak.com/Product/SafePeak-Overview) likes that all traffic to the database will go thru it. I decided to check out the features of SafePeak latest version (2.1) and seek for an answer there. A: Indeed I found SafePeak has a feature they call “Logon Trigger” and is designed for that purpose. It is located in the user interface, under: Settings -> SQL instances management  ->  [your instance]  ->  [Logon Trigger] tab. From here you activate / deactivate it and control a white-list of enabled server IPs and Login names that SafePeak will ignore them. Click to Enlarge After activation of the “logon trigger” Safepeak server is notified by the SQL Server itself on each new opened connection. Safepeak monitors those connections and decides if there is something to do with them or not. On a typical installation SafePeak likes all application and users connections to go via SafePeak – this way it knows about data and schema updates immediately (real time). With activation of the safepeak “logon trigger”  a special CLR trigger is deployed on the SQL server and notifies Safepeak on any connection that has not arrived via SafePeak. In such cases Safepeak can act to clear and lock the cache or to ignore it. This feature enables to make sure SafePeak will be aware of all connections so SafePeak cache will maintain exactly correct all times. So even if a user, like a DBA will connect to the SQL Server not via SafePeak, SafePeak will know about it and take actions. The notification does not impact the work of that connection, the user or application still continue to do whatever they planned to do. Note: I found that activation of logon trigger in SafePeak requires that SafePeak SQL login will have the next permissions: 1) CONTROL SERVER; 2) VIEW SERVER STATE; 3) And the SQL Server instance is CLR enabled; Seeing SafePeak in action, I can say SafePeak brings fantastic resource for those who seek to get performance for SQL Server critical apps. SafePeak promises to accelerate SQL Server applications in just several hours of installation, automatic learning and some optimization configuration (no code changes!!!). If better application and database performance means better business to you – I suggest you to download and try SafePeak. The solution of SafePeak is indeed unique, and the questions I receive are very interesting. Have any more questions on SafePeak? Please leave your question as a comment and I will try to get an answer for you. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Tuxedo 11gR1 Client Server Affinity

    - by todd.little
    One of the major new features in Oracle Tuxedo 11gR1 is the ability to define an affinity between clients and servers. In previous releases of Tuxedo, the only way to ensure that multiple requests from a client went to the same server was to establish a conversation with tpconnect() and then use tpsend() and tprecv(). Although this works it has some drawbacks. First for single-threaded servers, the server is tied up for the entire duration of the conversation and cannot service other clients, an obvious scalability issue. I believe the more significant drawback is that the application programmer has to switch from the simple request/response model provided by tpcall() to the half duplex tpsend() and tprecv() calls used with conversations. Switching between the two typically requires a fair amount of redesign and recoding. The Client Server Affinity feature in Tuxedo 11gR1 allows by way of configuration an application to define affinities that can exist between clients and servers. This is done in the *SERVICES section of the UBBCONFIG file. Using new parameters for services defined in the *SERVICES section, customers can determine when an affinity session is created or deleted, the scope of the affinity, and whether requests can be routed outside the affinity scope. The AFFINITYSCOPE parameter can be MACHINE, GROUP, or SERVER, meaning that while the affinity session is in place, all requests from the client will be routed to the same MACHINE, GROUP, or SERVER. The creation and deletion of affinity is defined by the SESSIONROLE parameter and a service can be defined as either BEGIN, END, or NONE, where BEGIN starts an affinity session, END deletes the affinity session, and NONE does not impact the affinity session. Finally customers can define how strictly they want the affinity scope adhered to using the AFFINITYSTRICT parameter. If set to MANDATORY, all requests made during an affinity session will be routed to a server in the affinity scope. Thus if the affinity scope is SERVER, all subsequent tpcall() requests will be sent to the same server the affinity scope was established with. If the server doesn't offer that service, even though other servers do offer the service, the call will fail with TPNOENT. Setting AFFINITYSTRICT to PRECEDENT tells Tuxedo to try and route the request to a server in the affinity scope, but if that's not possible, then Tuxedo can try to route the request to servers out of scope. All of this begs the question, why? Why have this feature? There many uses for this capability, but the most common is when there is state that is maintained in a server, group of servers, or in a machine and subsequent requests from a client must be routed to where that state is maintained. This might be something as simple as a database cursor maintained by a server on behalf of a client. Alternatively it might be that the server has a connection to an external system and subsequent requests need to go back to the server that has that connection. A more sophisticated case is where a group of servers maintains some sort of cache in shared memory and subsequent requests need to be routed to where the cache is maintained. Although this last case might be able to be handled by data dependent routing, using client server affinity allows the cache to be partitioned dynamically instead of statically.

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  • The new Auto Scaling Service in Windows Azure

    - by shiju
    One of the key features of the Cloud is the on-demand scalability, which lets the cloud application developers to scale up or scale down the number of compute resources hosted on the Cloud. Auto Scaling provides the capability to dynamically scale up and scale down your compute resources based on user-defined policies, Key Performance Indicators (KPI), health status checks, and schedules, without any manual intervention. Auto Scaling is an important feature to consider when designing and architecting cloud based solutions, which can unleash the real power of Cloud to the apps for providing truly on-demand scalability and can also guard the organizational budget for cloud based application deployment. In the past, you have had to leverage the the Microsoft Enterprise Library Autoscaling Application Block (WASABi) or a services like  MetricsHub for implementing Automatic Scaling for your cloud apps hosted on the Windows Azure. The WASABi required to host your auto scaling block in a Windows Azure Worker Role for effectively implementing the auto scaling behaviour to your Windows Azure apps. The newly announced Auto Scaling service in Windows Azure lets you add automatic scaling capability to your Windows Azure Compute Services such as Cloud Services, Web Sites and Virtual Machine. Unlike WASABi hosted on a Worker Role, you don’t need to host any monitoring service for using the new Auto Scaling service and the Auto Scaling service will be available to individual Windows Azure Compute Services as part of the Scaling. Configure Auto Scaling for a Windows Azure Cloud Service Currently the Auto Scaling service supports Cloud Services, Web Sites and Virtual Machine. In this demo, I will be used a Cloud Services app with a Web Role and a Worker Role. To enable the Auto Scaling, select t your Windows Azure app in the Windows Azure management portal, and choose “SCLALE” tab. The Scale tab will show the all information regards with Auto Scaling. The below image shows that we have currently disabled the AutoScale service. To enable Auto Scaling, you need to choose either CPU or QUEUE. The QUEUE option is not available for Web Sites. The image below demonstrates how to configure Auto Scaling for a Web Role based on the utilization of CPU. We have configured the web role app for running with 1 to 5 Virtual Machine instances based on the CPU utilization with a range of 50 to 80%. If the aggregate utilization is becoming above above 80%, it will scale up instances and it will scale down instances when utilization is becoming below 50%. The image below demonstrates how to configure Auto Scaling for a Worker Role app based on the messages added into the Windows Azure storage Queue. We configured the worker role app for running with 1 to 3 Virtual Machine instances based on the Queue messages added into the Windows Azure storage Queue. Here we have specified the number of messages target per machine is 2000. The image below shows the summary of the Auto Scaling for the Cloud Service after configuring auto scaling service. Summary Auto Scaling is an extremely important behaviour of the Cloud applications for providing on-demand scalability without any manual intervention. Windows Azure provides greater support for enabling Auto Scaling for the apps deployed on the Windows Azure cloud platform. The new Auto Scaling service in Windows Azure lets you add automatic scaling capability to your Windows Azure Compute Services such as Cloud Services, Web Sites and Virtual Machine. In the new Auto Scaling service, you don’t have to host any monitor service like you have had in WASABi block. The Auto Scaling service is an excellent alternative to the manually hosting WASABi block in a Worker Role app.

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  • SQL SERVER – ASYNC_IO_COMPLETION – Wait Type – Day 11 of 28

    - by pinaldave
    For any good system three things are vital: CPU, Memory and IO (disk). Among these three, IO is the most crucial factor of SQL Server. Looking at real-world cases, I do not see IT people upgrading CPU and Memory frequently. However, the disk is often upgraded for either improving the space, speed or throughput. Today we will look at another IO-related wait type. From Book On-Line: Occurs when a task is waiting for I/Os to finish. ASYNC_IO_COMPLETION Explanation: Any tasks are waiting for I/O to finish. If by any means your application that’s connected to SQL Server is processing the data very slowly, this type of wait can occur. Several long-running database operations like BACKUP, CREATE DATABASE, ALTER DATABASE or other operations can also create this wait type. Reducing ASYNC_IO_COMPLETION wait: When it is an issue related to IO, one should check for the following things associated to IO subsystem: Look at the programming and see if there is any application code which processes the data slowly (like inefficient loop, etc.). Note that it should be re-written to avoid this  wait type. Proper placing of the files is very important. We should check the file system for proper placement of the files – LDF and MDF on separate drive, TempDB on another separate drive, hot spot tables on separate filegroup (and on separate disk), etc. Check the File Statistics and see if there is a higher IO Read and IO Write Stall SQL SERVER – Get File Statistics Using fn_virtualfilestats. Check event log and error log for any errors or warnings related to IO. If you are using SAN (Storage Area Network), check the throughput of the SAN system as well as configuration of the HBA Queue Depth. In one of my recent projects, the SAN was performing really badly and so the SAN administrator did not accept it. After some investigations, he agreed to change the HBA Queue Depth on the development setup (test environment). As soon as we changed the HBA Queue Depth to quite a higher value, there was a sudden big improvement in the performance. It is very likely to happen that there are no proper indexes on the system and yet there are lots of table scans and heap scans. Creating proper index can reduce the IO bandwidth considerably. If SQL Server can use appropriate cover index instead of clustered index, it can effectively reduce lots of CPU, Memory and IO (considering cover index has lesser columns than cluster table and all other; it depends upon the situation). You can refer to the following two articles I wrote that talk about how to optimize indexes: Create Missing Indexes Drop Unused Indexes Checking Memory Related Perfmon Counters SQLServer: Memory Manager\Memory Grants Pending (Consistent higher value than 0-2) SQLServer: Memory Manager\Memory Grants Outstanding (Consistent higher value, Benchmark) SQLServer: Buffer Manager\Buffer Hit Cache Ratio (Higher is better, greater than 90% for usually smooth running system) SQLServer: Buffer Manager\Page Life Expectancy (Consistent lower value than 300 seconds) Memory: Available Mbytes (Information only) Memory: Page Faults/sec (Benchmark only) Memory: Pages/sec (Benchmark only) Checking Disk Related Perfmon Counters Average Disk sec/Read (Consistent higher value than 4-8 millisecond is not good) Average Disk sec/Write (Consistent higher value than 4-8 millisecond is not good) Average Disk Read/Write Queue Length (Consistent higher value than benchmark is not good) Read all the post in the Wait Types and Queue series. Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All the discussions of Wait Stats in this blog are generic and vary from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • SQL SERVER – IO_COMPLETION – Wait Type – Day 10 of 28

    - by pinaldave
    For any good system three things are vital: CPU, Memory and IO (disk). Among these three, IO is the most crucial factor of SQL Server. Looking at real-world cases, I do not see IT people upgrading CPU and Memory frequently. However, the disk is often upgraded for either improving the space, speed or throughput. Today we will look at an IO-related wait types. From Book On-Line: Occurs while waiting for I/O operations to complete. This wait type generally represents non-data page I/Os. Data page I/O completion waits appear as PAGEIOLATCH_* waits. IO_COMPLETION Explanation: Any tasks are waiting for I/O to finish. This is a good indication that IO needs to be looked over here. Reducing IO_COMPLETION wait: When it is an issue concerning the IO, one should look at the following things related to IO subsystem: Proper placing of the files is very important. We should check the file system for proper placement of files – LDF and MDF on a separate drive, TempDB on another separate drive, hot spot tables on separate filegroup (and on separate disk),etc. Check the File Statistics and see if there is higher IO Read and IO Write Stall SQL SERVER – Get File Statistics Using fn_virtualfilestats. Check event log and error log for any errors or warnings related to IO. If you are using SAN (Storage Area Network), check the throughput of the SAN system as well as the configuration of the HBA Queue Depth. In one of my recent projects, the SAN was performing really badly so the SAN administrator did not accept it. After some investigations, he agreed to change the HBA Queue Depth on development (test environment) set up and as soon as we changed the HBA Queue Depth to quite a higher value, there was a sudden big improvement in the performance. It is very possible that there are no proper indexes in the system and there are lots of table scans and heap scans. Creating proper index can reduce the IO bandwidth considerably. If SQL Server can use appropriate cover index instead of clustered index, it can effectively reduce lots of CPU, Memory and IO (considering cover index has lesser columns than cluster table and all other; it depends upon the situation). You can refer to the two articles that I wrote; they are about how to optimize indexes: Create Missing Indexes Drop Unused Indexes Checking Memory Related Perfmon Counters SQLServer: Memory Manager\Memory Grants Pending (Consistent higher value than 0-2) SQLServer: Memory Manager\Memory Grants Outstanding (Consistent higher value, Benchmark) SQLServer: Buffer Manager\Buffer Hit Cache Ratio (Higher is better, greater than 90% for usually smooth running system) SQLServer: Buffer Manager\Page Life Expectancy (Consistent lower value than 300 seconds) Memory: Available Mbytes (Information only) Memory: Page Faults/sec (Benchmark only) Memory: Pages/sec (Benchmark only) Checking Disk Related Perfmon Counters Average Disk sec/Read (Consistent higher value than 4-8 millisecond is not good) Average Disk sec/Write (Consistent higher value than 4-8 millisecond is not good) Average Disk Read/Write Queue Length (Consistent higher value than benchmark is not good) Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All the discussions of Wait Stats in this blog are generic and vary from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Types, SQL White Papers, T SQL, Technology

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  • MP3 player mpman TS300 not recognized

    - by Nick Lemaire
    I just received a mpman ts300 mp3 player for Christmas. But when I try to connect it to ubuntu (10.10) through usb it doesn't seem to be recognized. I searched for a linuxdriver but came up with nothing. I even tried installing mpman manager from the software center, but still the same problem... Has anybody got any ideas about how to fix this? Thank you edit: some additional information When I plug it in, it doesn't show up under /dev. And it is not listed in the result of 'lsusb' This is the output of 'dmesg' [19571.732541] usb 1-4: new high speed USB device using ehci_hcd and address 2 [19571.889154] scsi7 : usb-storage 1-4:1.0 [19572.883155] scsi 7:0:0:0: Direct-Access TS300 USB DISK 1.00 PQ: 0 ANSI: 0 [19572.885856] sd 7:0:0:0: Attached scsi generic sg2 type 0 [19572.887266] sd 7:0:0:0: [sdb] 7868416 512-byte logical blocks: (4.02 GB/3.75 GiB) [19573.012547] usb 1-4: reset high speed USB device using ehci_hcd and address 2 [19573.292550] usb 1-4: reset high speed USB device using ehci_hcd and address 2 [19573.572565] usb 1-4: reset high speed USB device using ehci_hcd and address 2 [19573.725019] sd 7:0:0:0: [sdb] Test WP failed, assume Write Enabled [19573.725024] sd 7:0:0:0: [sdb] Assuming drive cache: write through [19573.728521] sd 7:0:0:0: [sdb] Attached SCSI removable disk [19575.333015] sd 7:0:0:0: [sdb] 7868416 512-byte logical blocks: (4.02 GB/3.75 GiB) [19575.452547] usb 1-4: reset high speed USB device using ehci_hcd and address 2 [19580.603253] usb 1-4: device descriptor read/all, error -110 [19580.722560] usb 1-4: reset high speed USB device using ehci_hcd and address 2 [19595.842579] usb 1-4: device descriptor read/64, error -110 [19611.072656] usb 1-4: device descriptor read/64, error -110 [19611.302540] usb 1-4: reset high speed USB device using ehci_hcd and address 2 [19616.332568] usb 1-4: device descriptor read/8, error -110 [19621.462692] usb 1-4: device descriptor read/8, error -110 [19621.692551] usb 1-4: reset high speed USB device using ehci_hcd and address 2 [19626.722567] usb 1-4: device descriptor read/8, error -110 [19631.852802] usb 1-4: device descriptor read/8, error -110 [19631.962587] usb 1-4: USB disconnect, address 2 [19631.962587] sd 7:0:0:0: Device offlined - not ready after error recovery [19631.962840] sd 7:0:0:0: [sdb] Assuming drive cache: write through [19631.965104] sd 7:0:0:0: [sdb] READ CAPACITY failed [19631.965109] sd 7:0:0:0: [sdb] Result: hostbyte=DID_NO_CONNECT driverbyte=DRIVER_OK [19631.965112] sd 7:0:0:0: [sdb] Sense not available. [19631.965125] sd 7:0:0:0: [sdb] Assuming drive cache: write through [19631.965130] sdb: detected capacity change from 4028628992 to 0 [19632.130042] usb 1-4: new high speed USB device using ehci_hcd and address 3 [19647.242550] usb 1-4: device descriptor read/64, error -110 [19662.472560] usb 1-4: device descriptor read/64, error -110 [19662.702566] usb 1-4: new high speed USB device using ehci_hcd and address 4 [19677.822587] usb 1-4: device descriptor read/64, error -110 [19693.052575] usb 1-4: device descriptor read/64, error -110 [19693.282582] usb 1-4: new high speed USB device using ehci_hcd and address 5 [19698.312600] usb 1-4: device descriptor read/8, error -110 [19703.442594] usb 1-4: device descriptor read/8, error -110 [19703.672548] usb 1-4: new high speed USB device using ehci_hcd and address 6 [19708.702581] usb 1-4: device descriptor read/8, error -110 [19713.840077] usb 1-4: device descriptor read/8, error -110 [19713.942555] hub 1-0:1.0: unable to enumerate USB device on port 4 [19714.262545] usb 4-2: new full speed USB device using uhci_hcd and address 2 [19729.382549] usb 4-2: device descriptor read/64, error -110 [19744.612534] usb 4-2: device descriptor read/64, error -110 [19744.842543] usb 4-2: new full speed USB device using uhci_hcd and address 3 [19759.962714] usb 4-2: device descriptor read/64, error -110 [19775.200047] usb 4-2: device descriptor read/64, error -110 [19775.422630] usb 4-2: new full speed USB device using uhci_hcd and address 4 [19780.444498] usb 4-2: device descriptor read/8, error -110 [19785.574491] usb 4-2: device descriptor read/8, error -110 [19785.802547] usb 4-2: new full speed USB device using uhci_hcd and address 5 [19790.824490] usb 4-2: device descriptor read/8, error -110 [19795.961473] usb 4-2: device descriptor read/8, error -110 [19796.062556] hub 4-0:1.0: unable to enumerate USB device on port 2

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  • Url rewrite subfolder to root and forbid accessing subfolder

    - by Alessandro Pezzato
    I have drupal installed in a subfolder drupal, but I want to access pages as it is in root folder: http://www.example.com instead of http://www.example.com/drupal I'm able to have this working, but it's also working with url containing subfolder, so I have http://www.example.com and a clone site in http://www.example.com/drupal What is the rule to forbid access to subfolder? I want all url starting with http://www.example.com/drupal being forbidden. This is .htaccess in / directory: Options -Indexes Options +FollowSymLinks <IfModule mod_rewrite.c> RewriteEngine on RewriteCond %{HTTP_HOST} ^www\.(.+)$ [NC] RewriteRule ^ http://%1%{REQUEST_URI} [L,R=301] RewriteRule ^(.*+)$ drupal/$1 [L,QSA] </IfModule> And this is drupal .htaccess in /drupal/ directory: Options -Indexes Options +FollowSymLinks ErrorDocument 404 index.php DirectoryIndex index.php index.html index.htm # Override PHP settings that cannot be changed at runtime. See # sites/default/default.settings.php and drupal_initialize_variables() in # includes/bootstrap.inc for settings that can be changed at runtime. # PHP 5, Apache 1 and 2. <IfModule mod_php5.c> php_flag magic_quotes_gpc off php_flag magic_quotes_sybase off php_flag register_globals off php_flag session.auto_start off php_value mbstring.http_input pass php_value mbstring.http_output pass php_flag mbstring.encoding_translation off </IfModule> # Requires mod_expires to be enabled. <IfModule mod_expires.c> # Enable expirations. ExpiresActive On # Cache all files for 2 weeks after access (A). ExpiresDefault A1209600 <FilesMatch \.php$> # Do not allow PHP scripts to be cached unless they explicitly send cache # headers themselves. Otherwise all scripts would have to overwrite the # headers set by mod_expires if they want another caching behavior. This may # fail if an error occurs early in the bootstrap process, and it may cause # problems if a non-Drupal PHP file is installed in a subdirectory. ExpiresActive Off </FilesMatch> </IfModule> # Various rewrite rules. <IfModule mod_rewrite.c> RewriteEngine on # Block access to "hidden" directories whose names begin with a period. This # includes directories used by version control systems such as Subversion or # Git to store control files. Files whose names begin with a period, as well # as the control files used by CVS, are protected by the FilesMatch directive # above. RewriteRule "(^|/)\." - [F] # To redirect all users to access the site WITH the 'www.' prefix, # (http://example.com/... will be redirected to http://www.example.com/...) # uncomment the following: # RewriteCond %{HTTP_HOST} !^www\. [NC] # RewriteRule ^ http://www.%{HTTP_HOST}%{REQUEST_URI} [L,R=301] # # To redirect all users to access the site WITHOUT the 'www.' prefix, # (http://www.example.com/... will be redirected to http://example.com/...) # uncomment the following: RewriteCond %{HTTP_HOST} ^www\.(.+)$ [NC] RewriteRule ^ http://%1%{REQUEST_URI} [L,R=301] RewriteBase /drupal # Pass all requests not referring directly to files in the filesystem to # index.php. Clean URLs are handled in drupal_environment_initialize(). RewriteCond %{REQUEST_FILENAME} !-f RewriteCond %{REQUEST_FILENAME} !-d RewriteCond %{REQUEST_URI} !=/favicon.ico #RewriteRule ^ index.php [L] RewriteRule ^(.*)$ index.php?q=$1 [L,QSA] # Rules to correctly serve gzip compressed CSS and JS files. # Requires both mod_rewrite and mod_headers to be enabled. <IfModule mod_headers.c> # Serve gzip compressed CSS files if they exist and the client accepts gzip. RewriteCond %{HTTP:Accept-encoding} gzip RewriteCond %{REQUEST_FILENAME}\.gz -s RewriteRule ^(.*)\.css $1\.css\.gz [QSA] # Serve gzip compressed JS files if they exist and the client accepts gzip. RewriteCond %{HTTP:Accept-encoding} gzip RewriteCond %{REQUEST_FILENAME}\.gz -s RewriteRule ^(.*)\.js $1\.js\.gz [QSA] # Serve correct content types, and prevent mod_deflate double gzip. RewriteRule \.css\.gz$ - [T=text/css,E=no-gzip:1] RewriteRule \.js\.gz$ - [T=text/javascript,E=no-gzip:1] <FilesMatch "(\.js\.gz|\.css\.gz)$"> # Serve correct encoding type. Header append Content-Encoding gzip # Force proxies to cache gzipped & non-gzipped css/js files separately. Header append Vary Accept-Encoding </FilesMatch> </IfModule> </IfModule>

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  • Monitor System Resources from the Windows 7 Taskbar

    - by Asian Angel
    The problem with most system monitoring apps is that they get covered up with all of your open windows, but you can solve that problem by adding monitoring apps to the Taskbar. Setting Up & Using SuperbarMonitor All of the individual monitors and the .dll files necessary to run them come in a single zip file for your convenience. Simply unzip the contents, add them to an appropriate “Program Files Folder”, and create shortcuts for the monitors that you would like to use on your system. For our example we created shortcuts for all five monitors and set the shortcuts up in their own “Start Menu Folder”. You can see what the five monitors (Battery, CPU, Disk, Memory, & Volume) look like when running…they are visual in appearance without text to clutter up the looks. The monitors use colors (red, green, & yellow) to indicate the amount of resources being used for a particular category. Note: Our system is desktop-based but the “Battery Monitor” was shown for the purposes of demonstration…thus the red color seen here. Hovering the mouse over the “Battery, CPU, Disk, & Memory Monitors” on our system displayed a small blank thumbnail. Note: The “Battery Monitor” may or may not display more when used on your laptop. Going one step further and hovering the mouse over the thumbnails displayed a small blank window. There really is nothing that you will need to worry with outside of watching the color for each individual monitor. Nice and simple! The one monitor with extra features on the thumbnail was the “Volume Monitor”. You can turn the volume down, up, on, or off from here…definitely useful if you have been wanting to hide the “Volume Icon” in the “System Tray”. You can also pin the monitors to your “Taskbar” if desired. Keep in mind that if you do close any of the monitors they will “temporarily” disappear from the “Taskbar” until the next time they are started. Note: If you want the monitors to start with your system each time you will need to add the appropriate shortcuts to the “Startup Sub-menu” in your “Start Menu”. Conclusion If you have been wanting a nice visual way to monitor your system’s resources then SuperbarMonitor is definitely worth trying out. Links Download SuperbarMonitor Similar Articles Productive Geek Tips Monitor CPU, Memory, and Disk IO In Windows 7 with Taskbar MetersUse Windows Vista Reliability Monitor to Troubleshoot CrashesTaskbar Eliminator Does What the Name Implies: Hides Your Windows TaskbarBring Misplaced Off-Screen Windows Back to Your Desktop (Keyboard Trick)How To Fix System Tray Tooltips Not Displaying in Windows XP 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 Follow Finder Finds You Twitter Users To Follow Combine MP3 Files Easily QuicklyCode Provides Cheatsheets & Other Programming Stuff Download Free MP3s from Amazon Awe inspiring, inter-galactic theme (Win 7) Case Study – How to Optimize Popular Wordpress Sites

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  • No sound lenovo t60 alsa ad1981 iec958

    - by Nate
    Any help on getting the sound to come through my lenovo t60 build in speakers, headphones, or mic would greatly be appreciated. The three buttons to increase, decrease sound seem to work. Bios has sound card enabled and the buttons beep when pressed. When going to Utube or playing music, no sound is heard. Thanks Nate Feb 23 - Didn't see anything specific in the sys logs with Rhythmbox when connecting my ipod. Rhythmbox is playing, but still no sound. Here is the syslog details for today. Output is set to analog output. Feb 23 17:42:32 itgis01398 rsyslogd: [origin software="rsyslogd" swVersion="4.2.0" x-pid="824" x-info="http://www.rsyslog.com"] rsyslogd was HUPed, type 'lightweight'. Feb 23 17:42:33 itgis01398 rsyslogd: [origin software="rsyslogd" swVersion="4.2.0" x-pid="824" x-info="http://www.rsyslog.com"] rsyslogd was HUPed, type 'lightweight'. Feb 23 17:42:49 itgis01398 anacron[968]: Job `cron.daily' terminated Feb 23 17:42:49 itgis01398 anacron[968]: Job `cron.weekly' started Feb 23 17:42:49 itgis01398 anacron[12067]: Updated timestamp for job `cron.weekly' to 2011-02-23 Feb 23 17:42:53 itgis01398 anacron[968]: Job `cron.weekly' terminated Feb 23 17:42:53 itgis01398 anacron[968]: Normal exit (2 jobs run) Feb 23 18:01:19 itgis01398 kernel: [ 2731.324067] usb 1-5: new high speed USB device using ehci_hcd and address 3 Feb 23 18:01:19 itgis01398 kernel: [ 2731.482879] Initializing USB Mass Storage driver... Feb 23 18:01:19 itgis01398 kernel: [ 2731.483061] usb-storage 1-5:1.0: Quirks match for vid 05ac pid 1205: 10 Feb 23 18:01:19 itgis01398 kernel: [ 2731.483116] scsi6 : usb-storage 1-5:1.0 Feb 23 18:01:19 itgis01398 kernel: [ 2731.483306] usbcore: registered new interface driver usb-storage Feb 23 18:01:19 itgis01398 kernel: [ 2731.483310] USB Mass Storage support registered. Feb 23 18:01:20 itgis01398 kernel: [ 2732.481116] scsi 6:0:0:0: Direct-Access Apple iPod 1.62 PQ: 0 ANSI: 0 Feb 23 18:01:20 itgis01398 kernel: [ 2732.482466] sd 6:0:0:0: Attached scsi generic sg2 type 0 Feb 23 18:01:20 itgis01398 kernel: [ 2732.485095] sd 6:0:0:0: [sdb] Adjusting the sector count from its reported value: 7999488 Feb 23 18:01:20 itgis01398 kernel: [ 2732.485110] sd 6:0:0:0: [sdb] 7999487 512-byte logical blocks: (4.09 GB/3.81 GiB) Feb 23 18:01:20 itgis01398 kernel: [ 2732.487933] sd 6:0:0:0: [sdb] Write Protect is off Feb 23 18:01:20 itgis01398 kernel: [ 2732.487941] sd 6:0:0:0: [sdb] Mode Sense: 64 00 00 08 Feb 23 18:01:20 itgis01398 kernel: [ 2732.487947] sd 6:0:0:0: [sdb] Assuming drive cache: write through Feb 23 18:01:20 itgis01398 kernel: [ 2732.489927] sd 6:0:0:0: [sdb] Adjusting the sector count from its reported value: 7999488 Feb 23 18:01:20 itgis01398 kernel: [ 2732.491150] sd 6:0:0:0: [sdb] Assuming drive cache: write through Feb 23 18:01:20 itgis01398 kernel: [ 2732.491163] sdb: sdb1 sdb2 Feb 23 18:01:20 itgis01398 kernel: [ 2732.510428] sd 6:0:0:0: [sdb] Adjusting the sector count from its reported value: 7999488 Feb 23 18:01:20 itgis01398 kernel: [ 2732.511288] sd 6:0:0:0: [sdb] Assuming drive cache: write through Feb 23 18:01:20 itgis01398 kernel: [ 2732.511297] sd 6:0:0:0: [sdb] Attached SCSI removable disk Feb 23 18:01:21 itgis01398 kernel: [ 2733.746675] FAT: invalid media value (0x2f) Feb 23 18:01:21 itgis01398 kernel: [ 2733.746682] VFS: Can't find a valid FAT filesystem on dev sdb1. Feb 23 18:01:22 itgis01398 upstart-udev-bridge[330]: Env must be KEY=VALUE pairs Feb 23 18:02:07 itgis01398 kernel: [ 2780.115826] sd 6:0:0:0: [sdb] Unhandled sense code Feb 23 18:02:07 itgis01398 kernel: [ 2780.115835] sd 6:0:0:0: [sdb] Result: hostbyte=DID_OK driverbyte=DRIVER_SENSE Feb 23 18:02:07 itgis01398 kernel: [ 2780.115844] sd 6:0:0:0: [sdb] Sense Key : Medium Error [current] Feb 23 18:02:07 itgis01398 kernel: [ 2780.115855] Info fld=0x0 Feb 23 18:02:07 itgis01398 kernel: [ 2780.115859] sd 6:0:0:0: [sdb] Add. Sense: Unrecovered read error Feb 23 18:02:07 itgis01398 kernel: [ 2780.115870] sd 6:0:0:0: [sdb] CDB: Read(10): 28 00 00 08 fd e9 00 00 f0 00 Feb 23 18:02:07 itgis01398 kernel: [ 2780.115892] end_request: I/O error, dev sdb, sector 589289 Feb 23 18:02:49 itgis01398 kernel: [ 2821.351464] sd 6:0:0:0: [sdb] Unhandled sense code Feb 23 18:02:49 itgis01398 kernel: [ 2821.351473] sd 6:0:0:0: [sdb] Result: hostbyte=DID_OK driverbyte=DRIVER_SENSE Feb 23 18:02:49 itgis01398 kernel: [ 2821.351482] sd 6:0:0:0: [sdb] Sense Key : Medium Error [current] Feb 23 18:02:49 itgis01398 kernel: [ 2821.351493] Info fld=0x0 Feb 23 18:02:49 itgis01398 kernel: [ 2821.351497] sd 6:0:0:0: [sdb] Add. Sense: No additional sense information Feb 23 18:02:49 itgis01398 kernel: [ 2821.351507] sd 6:0:0:0: [sdb] CDB: Read(10): 28 00 00 08 fe d9 00 00 10 00 Feb 23 18:02:49 itgis01398 kernel: [ 2821.351530] end_request: I/O error, dev sdb, sector 589529 Feb 23 18:17:01 itgis01398 CRON[12709]: (root) CMD ( cd / && run-parts --report /etc/cron.hourly) volume is all of the way up.

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  • IPgallery banks on Solaris SPARC

    - by Frederic Pariente
    IPgallery is a global supplier of converged legacy and Next Generation Networks (NGN) products and solutions, including: core network components and cloud-based Value Added Services (VAS) for voice, video and data sessions. IPgallery enables network operators and service providers to offer advanced converged voice, chat, video/content services and rich unified social communications in a combined legacy (fixed/mobile), Over-the-Top (OTT) and Social Community (SC) environments for home and business customers. Technically speaking, this offer is a scalable and robust telco solution enabling operators to offer new services while controlling operating expenses (OPEX). In its solutions, IPgallery leverages the following Oracle components: Oracle Solaris, Netra T4 and SPARC T4 in order to provide a competitive and scalable solution without the price tag often associated with high-end systems. Oracle Solaris Binary Application Guarantee A unique feature of Oracle Solaris is the guaranteed binary compatibility between releases of the Solaris OS. That means, if a binary application runs on Solaris 2.6 or later, it will run on the latest release of Oracle Solaris.  IPgallery developed their application on Solaris 9 and Solaris 10 then runs it on Solaris 11, without any code modification or rebuild. The Solaris Binary Application Guarantee helps IPgallery protect their long-term investment in the development, training and maintenance of their applications. Oracle Solaris Image Packaging System (IPS) IPS is a new repository-based package management system that comes with Oracle Solaris 11. It provides a framework for complete software life-cycle management such as installation, upgrade and removal of software packages. IPgallery leverages this new packaging system in order to speed up and simplify software installation for the R&D and production environments. Notably, they use IPS to deliver Solaris Studio 12.3 packages as part of the rapid installation process of R&D environments, and during the production software deployment phase, they ensure software package integrity using the built-in verification feature. Solaris IPS thus improves IPgallery's time-to-market with a faster, more reliable software installation and deployment in production environments. Extreme Network Performance IPgallery saw a huge improvement in application performance both in CPU and I/O, when running on SPARC T4 architecture in compared to UltraSPARC T2 servers.  The same application (with the same activation environment) running on T2 consumes 40%-50% CPU, while it consumes only 10% of the CPU on T4. The testing environment comprised of: Softswitch (Call management), TappS (Telecom Application Server) and Billing Server running on same machine and initiating various services in capacity of 1000 CAPS (Call Attempts Per Second). In addition, tests showed a huge improvement in the performance of the TCP/IP stack, which reduces network layer processing and in the end Call Attempts latency. Finally, there is a huge improvement within the file system and disk I/O operations; they ran all tests with maximum logging capability and it didn't influence any benchmark values. "Due to the huge improvements in performance and capacity using the T4-1 architecture, IPgallery has engineered the solution with less hardware.  This means instead of deploying the solution on six T2-based machines, we will deploy on 2 redundant machines while utilizing Oracle Solaris Zones and Oracle VM for higher availability and virtualization" Shimon Lichter, VP R&D, IPgallery In conclusion, using the unique combination of Oracle Solaris and SPARC technologies, IPgallery is able to offer solutions with much lower TCO, while providing a higher level of service capacity, scalability and resiliency. This low-OPEX solution enables the operator, the end-customer, to deliver a high quality service while maintaining high profitability.

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  • Columnstore Case Study #1: MSIT SONAR Aggregations

    - by aspiringgeek
    Preamble This is the first in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in this 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. Why Columnstore? 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. App: MSIT SONAR Aggregations At MSIT, performance & configuration data is captured by SCOM. We archive much of the data in a partitioned data warehouse table in SQL Server 2012 for reporting via an application called SONAR.  By definition, this is a primary use case for columnstore—report queries requiring aggregation over large numbers of rows.  New data is refreshed each night by an automated table partitioning mechanism—a best practices scenario for columnstore. The Win Compared to performance using classic indexing which resulted in the expected query plan selection including partition elimination vs. SQL Server 2012 nonclustered columnstore, query performance increased significantly.  Logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Other than creating the columnstore index, no special modifications or tweaks to the app or databases schema were necessary to achieve the performance improvements.  Existing nonclustered indexes were rendered superfluous & were deleted, thus mitigating maintenance challenges such as defragging as well as conserving disk capacity. Details The table provides the raw data & summarizes the performance deltas. Logical Reads (8K pages) CPU (ms) Durn (ms) Columnstore 160,323 20,360 9,786 Conventional Table & Indexes 9,053,423 549,608 193,903 ? x56 x27 x20 The charts provide additional perspective of this data.  "Conventional vs. Columnstore Metrics" document the raw data.  Note on this linear display the magnitude of the conventional index performance vs. columnstore.  The “Metrics (?)” chart expresses these values as a ratio. Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the first in a series of reports on columnstore implementations, results from an initial implementation at MSIT in which logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Subsequent features in this series document performance enhancements that are even more significant. 

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  • Slow Ubuntu 10.04 after long time unused

    - by Winston Ewert
    I'm at spring break so I'm back at my parent's house. I've turned my computer on which has been off since January and its unusably slow. This was not the case when I last used the computer in January. It is running 10.04, Memory: 875.5 MB CPU: AMD Athlon 64 X2 Dual Core Processor 4400+ Available Disk Space: 330.8 GB I'm not seeing a large usage of either memory or Disk I/O. If I look at my list of processes there is only a very small amount of CPU usage. However, if I hover over the CPU usage graph that I've on the top bar, I sometimes get really high readings like 100%. It took a long time to boot, to open firefox, to open a link in firefox. As far as I can tell everything that the computer tries to do is just massively slow. Right now, I'm apt-get dist-upgrading to install any updates that I will have missed since last time this computer was on. Any ideas as to what is going on here? UPDATE: I thought to check dmesg and it has a lot of entries like this: [ 1870.142201] ata3.00: exception Emask 0x0 SAct 0x7 SErr 0x0 action 0x0 [ 1870.142206] ata3.00: irq_stat 0x40000008 [ 1870.142210] ata3.00: failed command: READ FPDMA QUEUED [ 1870.142217] ata3.00: cmd 60/08:10:c0:4a:65/00:00:03:00:00/40 tag 2 ncq 4096 in [ 1870.142218] res 41/40:00:c5:4a:65/00:00:03:00:00/40 Emask 0x409 (media error) <F> [ 1870.142221] ata3.00: status: { DRDY ERR } [ 1870.142223] ata3.00: error: { UNC } [ 1870.143981] ata3.00: SB600 AHCI: limiting to 255 sectors per cmd [ 1870.146758] ata3.00: SB600 AHCI: limiting to 255 sectors per cmd [ 1870.146761] ata3.00: configured for UDMA/133 [ 1870.146777] ata3: EH complete [ 1872.092269] ata3.00: exception Emask 0x0 SAct 0x7 SErr 0x0 action 0x0 [ 1872.092274] ata3.00: irq_stat 0x40000008 [ 1872.092278] ata3.00: failed command: READ FPDMA QUEUED [ 1872.092285] ata3.00: cmd 60/08:00:c0:4a:65/00:00:03:00:00/40 tag 0 ncq 4096 in [ 1872.092287] res 41/40:00:c5:4a:65/00:00:03:00:00/40 Emask 0x409 (media error) <F> [ 1872.092289] ata3.00: status: { DRDY ERR } [ 1872.092292] ata3.00: error: { UNC } [ 1872.094050] ata3.00: SB600 AHCI: limiting to 255 sectors per cmd [ 1872.096795] ata3.00: SB600 AHCI: limiting to 255 sectors per cmd [ 1872.096798] ata3.00: configured for UDMA/133 [ 1872.096814] ata3: EH complete [ 1874.042279] ata3.00: exception Emask 0x0 SAct 0x7 SErr 0x0 action 0x0 [ 1874.042285] ata3.00: irq_stat 0x40000008 [ 1874.042289] ata3.00: failed command: READ FPDMA QUEUED [ 1874.042296] ata3.00: cmd 60/08:10:c0:4a:65/00:00:03:00:00/40 tag 2 ncq 4096 in [ 1874.042297] res 41/40:00:c5:4a:65/00:00:03:00:00/40 Emask 0x409 (media error) <F> [ 1874.042300] ata3.00: status: { DRDY ERR } [ 1874.042302] ata3.00: error: { UNC } [ 1874.044048] ata3.00: SB600 AHCI: limiting to 255 sectors per cmd [ 1874.046837] ata3.00: SB600 AHCI: limiting to 255 sectors per cmd [ 1874.046840] ata3.00: configured for UDMA/133 [ 1874.046861] sd 2:0:0:0: [sda] Unhandled sense code [ 1874.046863] sd 2:0:0:0: [sda] Result: hostbyte=DID_OK driverbyte=DRIVER_SENSE [ 1874.046867] sd 2:0:0:0: [sda] Sense Key : Medium Error [current] [descriptor] [ 1874.046872] Descriptor sense data with sense descriptors (in hex): [ 1874.046874] 72 03 11 04 00 00 00 0c 00 0a 80 00 00 00 00 00 [ 1874.046883] 03 65 4a c5 [ 1874.046886] sd 2:0:0:0: [sda] Add. Sense: Unrecovered read error - auto reallocate failed [ 1874.046892] sd 2:0:0:0: [sda] CDB: Read(10): 28 00 03 65 4a c0 00 00 08 00 [ 1874.046900] end_request: I/O error, dev sda, sector 56969925 [ 1874.046920] ata3: EH complete I'm not certain, but that looks like my problem may be a failing hard drive. But the drive is less then a year old, it really shouldn't be failing now...

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  • Notes from a short presentation on NodeJs

    - by Aligned
    Originally posted on: http://geekswithblogs.net/Aligned/archive/2014/05/30/notes-from-a-short-presentation-on-nodejs.aspxI volunteered myself to give a short 30 minute presentation at a work lunch and learn on NodeJs. With my limited experience I see using Node as a great tool for build process improvement, scaffolding with yeoman, and running tests with Karma. I haven’t looked into using as a full server or development stack. I guess I’m too stuck on IIS and Visual Studio :-). Here are my notes, that aren’t very well formatted, but I wanted to share it anyways. What is it? "Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications. Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices." Why should you be interested? another popular tool that can help you get the job done you can use the command prompt! can be run at build or release time to automate tasks What are some uses? https://www.npmjs.org/ - NuGet for Node packages http://bower.io/ - NuGet for UI JavaScript libraries (jQuery, Bootstrap, Angular, etc) http://yeoman.io/ "Our workflow is comprised of three tools for improving your productivity and satisfaction when building a web app: yo (the scaffolding tool), grunt (the build tool) and bower (for package management)." -> yeoman asks which components you want alternative - http://joakimbeng.eu01.aws.af.cm/slush-replacing-yeoman-with-gulp/ https://www.npmjs.org/package/generator-cg-angular - phantom js, less, // git is needed for bower http://git-scm.com/ run installer in Windows before you can use bower // select Run Git from the Windows Command Prompt in the installer // requires a reboot http://stackoverflow.com/questions/20069297/bower-git-not-in-the-path-error npm install -g git npm install -g yo npm install -g generator-cg-angular mkdir myapp cd myapp yo cg-angular npm install -g bower npm install -g grunt-cli yo bower grunt serve grunt test grunt build // there are many generators (generator-angular) is another one // I like the Nuget HotTowel-Angular from John Papa myself // needed IIS Node for Express -> prompt from WebMatrix Karma bat to startup Karma - see below image compression - https://www.npmjs.org/search?q=optimize+images, https://github.com/heldr/node-smushit - do it from the command line LESS compiling js and css combine and minification at build with Gulp for requireJS apps quick lightweight HTTP server - "Express" Build pipeline with Grunt or Gulp http://www.johnpapa.net/gulp-and-grunt-at-anglebrackets/ Gulp is the newer and improved over Grunt. Supposed to be easier to use, but Grunt is more established. https://github.com/johnpapa/ng-demos/tree/master/grunt-gulp https://github.com/assetgraph/assetgraph-builder Does a lot of the minimizing, combining, image optimization etc using Node. Looks interesting.... http://nodejs.org http://nodeschool.io/ http://sub.watchmecode.net/getting-started-with-nodejs-installing-and-writing-your-first-code/ https://stormpath.com/blog/build-a-killer-node-dot-js-client-for-your-rest-plus-json-api/ https://codio.com/ http://www.hanselman.com/blog/ItsJustASoftwareIssueEdgejsBringsNodeAndNETTogetherOnThreePlatforms.aspx run unit tests - Karma in msBuild karma-start.bat @echo off cd %~dp0\.. REM 604800 is to make sure we only update once every 7 days call npm install --cache-min 604800 -g grunt-cli call npm install --cache-min 604800 call npm install --cache-min 604800 -g karma-cli karma start UnitTests\karma.conf.js REM karma start UnitTests\karma.conf.js --single-run REM see karma-start.bat and karam.config.js REM jsHint comes from Nuget

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  • Good DBAs Do Baselines

    - by Louis Davidson
    One morning, you wake up and feel funny. You can’t quite put your finger on it, but something isn’t quite right. What now? Unless you happen to be a hypochondriac, you likely drag yourself out of bed, get on with the day and gather more “evidence”. You check your symptoms over the next few days; do you feel the same, better, worse? If better, then great, it was some temporal issue, perhaps caused by an allergic reaction to some suspiciously spicy chicken. If the same or worse then you go to the doctor for some health advice, but armed with some data to share, and having ruled out certain possible causes that are fixed with a bit of rest and perhaps an antacid. Whether you realize it or not, in comparing how you feel one day to the next, you have taken baseline measurements. In much the same way, a DBA uses baselines to gauge the gauge health of their database servers. Of course, while SQL Server is very willing to share data regarding its health and activities, it has almost no idea of the difference between good and bad. Over time, experienced DBAs develop “mental” baselines with which they can gauge the health of their servers almost as easily as their own body. They accumulate knowledge of the daily, natural state of each part of their database system, and so know instinctively when one of their databases “feels funny”. Equally, they know when an “issue” is just a passing tremor. They see their SQL Server with all of its four CPU cores running close 100% and don’t panic anymore. Why? It’s 5PM and every day the same thing occurs when the end-of-day reports, which are very CPU intensive, are running. Equally, they know when they need to respond in earnest when it is the first time they have heard about an issue, even if it has been happening every day. Nevertheless, no DBA can retain mental baselines for every characteristic of their systems, so we need to collect physical baselines too. In my experience, surprisingly few DBAs do this very well. Part of the problem is that SQL Server provides a lot of instrumentation. If you look, you will find an almost overwhelming amount of data regarding user activity on your SQL Server instances, and use and abuse of the available CPU, I/O and memory. It seems like a huge task even to work out which data you need to collect, let alone start collecting it on a regular basis, managing its storage over time, and performing detailed comparative analysis. However, without baselines, though, it is very difficult to pinpoint what ails a server, just by looking at a single snapshot of the data, or to spot retrospectively what caused the problem by examining aggregated data for the server, collected over many months. It isn’t as hard as you think to get started. You’ve probably already established some troubleshooting queries of the type SELECT Value FROM SomeSystemTableOrView. Capturing a set of baseline values for such a query can be as easy as changing it as follows: INSERT into BaseLine.SomeSystemTable (value, captureTime) SELECT Value, SYSDATETIME() FROM SomeSystemTableOrView; Of course, there are monitoring tools that will collect and manage this baseline data for you, automatically, and allow you to perform comparison of metrics over different periods. However, to get yourself started and to prove to yourself (or perhaps the person who writes the checks for tools) the value of baselines, stick something similar to the above query into an agent job, running every hour or so, and you are on your way with no excuses! Then, the next time you investigate a slow server, and see x open transactions, y users logged in, and z rows added per hour in the Orders table, compare to your baselines and see immediately what, if anything, has changed!

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  • Handling Configuration Changes in Windows Azure Applications

    - by Your DisplayName here!
    While finalizing StarterSTS 1.5, I had a closer look at lifetime and configuration management in Windows Azure. (this is no new information – just some bits and pieces compiled at one single place – plus a bit of reality check) When dealing with lifetime management (and especially configuration changes), there are two mechanisms in Windows Azure – a RoleEntryPoint derived class and a couple of events on the RoleEnvironment class. You can find good documentation about RoleEntryPoint here. The RoleEnvironment class features two events that deal with configuration changes – Changing and Changed. Whenever a configuration change gets pushed out by the fabric controller (either changes in the settings section or the instance count of a role) the Changing event gets fired. The event handler receives an instance of the RoleEnvironmentChangingEventArgs type. This contains a collection of type RoleEnvironmentChange. This in turn is a base class for two other classes that detail the two types of possible configuration changes I mentioned above: RoleEnvironmentConfigurationSettingsChange (configuration settings) and RoleEnvironmentTopologyChange (instance count). The two respective classes contain information about which configuration setting and which role has been changed. Furthermore the Changing event can trigger a role recycle (aka reboot) by setting EventArgs.Cancel to true. So your typical job in the Changing event handler is to figure if your application can handle these configuration changes at runtime, or if you rather want a clean restart. Prior to the SDK 1.3 VS Templates – the following code was generated to reboot if any configuration settings have changed: private void RoleEnvironmentChanging(object sender, RoleEnvironmentChangingEventArgs e) {     // If a configuration setting is changing     if (e.Changes.Any(change => change is RoleEnvironmentConfigurationSettingChange))     {         // Set e.Cancel to true to restart this role instance         e.Cancel = true;     } } This is a little drastic as a default since most applications will work just fine with changed configuration – maybe that’s the reason this code has gone away in the 1.3 SDK templates (more). The Changed event gets fired after the configuration changes have been applied. Again the changes will get passed in just like in the Changing event. But from this point on RoleEnvironment.GetConfigurationSettingValue() will return the new values. You can still decide to recycle if some change was so drastic that you need a restart. You can use RoleEnvironment.RequestRecycle() for that (more). As a rule of thumb: When you always use GetConfigurationSettingValue to read from configuration (and there is no bigger state involved) – you typically don’t need to recycle. In the case of StarterSTS, I had to abstract away the physical configuration system and read the actual configuration (either from web.config or the Azure service configuration) at startup. I then cache the configuration settings in memory. This means I indeed need to take action when configuration changes – so in my case I simply clear the cache, and the new config values get read on the next access to my internal configuration object. No downtime – nice! Gotcha A very natural place to hook up the RoleEnvironment lifetime events is the RoleEntryPoint derived class. But with the move to the full IIS model in 1.3 – the RoleEntryPoint methods get executed in a different AppDomain (even in a different process) – see here.. You might no be able to call into your application code to e.g. clear a cache. Keep that in mind! In this case you need to handle these events from e.g. global.asax.

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  • Columnstore Case Study #1: MSIT SONAR Aggregations

    - by aspiringgeek
    Preamble This is the first in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in this 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. Why Columnstore? 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. App: MSIT SONAR Aggregations At MSIT, performance & configuration data is captured by SCOM. We archive much of the data in a partitioned data warehouse table in SQL Server 2012 for reporting via an application called SONAR.  By definition, this is a primary use case for columnstore—report queries requiring aggregation over large numbers of rows.  New data is refreshed each night by an automated table partitioning mechanism—a best practices scenario for columnstore. The Win Compared to performance using classic indexing which resulted in the expected query plan selection including partition elimination vs. SQL Server 2012 nonclustered columnstore, query performance increased significantly.  Logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Other than creating the columnstore index, no special modifications or tweaks to the app or databases schema were necessary to achieve the performance improvements.  Existing nonclustered indexes were rendered superfluous & were deleted, thus mitigating maintenance challenges such as defragging as well as conserving disk capacity. Details The table provides the raw data & summarizes the performance deltas. Logical Reads (8K pages) CPU (ms) Durn (ms) Columnstore 160,323 20,360 9,786 Conventional Table & Indexes 9,053,423 549,608 193,903 ? x56 x27 x20 The charts provide additional perspective of this data.  "Conventional vs. Columnstore Metrics" document the raw data.  Note on this linear display the magnitude of the conventional index performance vs. columnstore.  The “Metrics (?)” chart expresses these values as a ratio. Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the first in a series of reports on columnstore implementations, results from an initial implementation at MSIT in which logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Subsequent features in this series document performance enhancements that are even more significant. 

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  • Using Appendbuffers in unity for terrain generation

    - by Wardy
    Like many others I figured I would try and make the most of the monster processing power of the GPU but I'm having trouble getting the basics in place. CPU code: using UnityEngine; using System.Collections; public class Test : MonoBehaviour { public ComputeShader Generator; public MeshTopology Topology; void OnEnable() { var computedMeshPoints = ComputeMesh(); CreateMeshFrom(computedMeshPoints); } private Vector3[] ComputeMesh() { var size = (32*32) * 4; // 4 points added for each x,z pos var buffer = new ComputeBuffer(size, 12, ComputeBufferType.Append); Generator.SetBuffer(0, "vertexBuffer", buffer); Generator.Dispatch(0, 1, 1, 1); var results = new Vector3[size]; buffer.GetData(results); buffer.Dispose(); return results; } private void CreateMeshFrom(Vector3[] generatedPoints) { var filter = GetComponent<MeshFilter>(); var renderer = GetComponent<MeshRenderer>(); if (generatedPoints.Length > 0) { var mesh = new Mesh { vertices = generatedPoints }; var colors = new Color[generatedPoints.Length]; var indices = new int[generatedPoints.Length]; //TODO: build this different based on topology of the mesh being generated for (int i = 0; i < indices.Length; i++) { indices[i] = i; colors[i] = Color.blue; } mesh.SetIndices(indices, Topology, 0); mesh.colors = colors; mesh.RecalculateNormals(); mesh.Optimize(); mesh.RecalculateBounds(); filter.sharedMesh = mesh; } else { filter.sharedMesh = null; } } } GPU code: #pragma kernel Generate AppendStructuredBuffer<float3> vertexBuffer : register(u0); void genVertsAt(uint2 xzPos) { //TODO: put some height generation code here. // could even run marching cubes / dual contouring code. float3 corner1 = float3( xzPos[0], 0, xzPos[1] ); float3 corner2 = float3( xzPos[0] + 1, 0, xzPos[1] ); float3 corner3 = float3( xzPos[0], 0, xzPos[1] + 1); float3 corner4 = float3( xzPos[0] + 1, 0, xzPos[1] + 1 ); vertexBuffer.Append(corner1); vertexBuffer.Append(corner2); vertexBuffer.Append(corner3); vertexBuffer.Append(corner4); } [numthreads(32, 1, 32)] void Generate (uint3 threadId : SV_GroupThreadID, uint3 groupId : SV_GroupID) { uint2 currentXZ = unint2( groupId.x * 32 + threadId.x, groupId.z * 32 + threadId.z); genVertsAt(currentXZ); } Can anyone explain why when I call "buffer.GetData(results);" on the CPU after the compute dispatch call my buffer is full of Vector3(0,0,0), I'm not expecting any y values yet but I would expect a bunch of thread indexes in the x,z values for the Vector3 array. I'm not getting any errors in any of this code which suggests it's correct syntax-wise but maybe the issue is a logical bug. Also: Yes, I know I'm generating 4,000 Vector3's and then basically round tripping them. However, the purpose of this code is purely to learn how round tripping works between CPU and GPU in Unity.

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  • How to get faster graphics in KVM? VNC is painfully slow with Haiku OS guest, Spice won't install and SDL doesn't work

    - by Don Quixote
    I've been coming up to speed on the Haiku operating system, an Open Source clone of BeOS 5 Pro. I'm using an Apple MacBook Pro as my development machine. Apple's BootCamp BIOS does not support more than four partitions on the internal hard drive. While I can set up extended and logical partitions, doing so will prevent any of the installed operating systems from booting. To run Haiku directly on the iron, I boot it off a USB stick. Using external storage is also helpful because I am perpetually out of filesystem space. While VirtualBox is documented to allow access to physical drives, I could not actually get it to work. Also VirtualBox can only use one of the host CPU's cores. While VB guests can be configured for more than one CPU, they are only emulated. A full build of the Haiku OS takes 4.5 under VB. I had the hope of reducing build times by using KVM instead, but it's not working nearly as well as VirtualBox did. The Linux Kernel Virtual Machine is broken in all manner of fundamental ways as seen from Haiku. But I'm a coder; maybe I could contribute to fixing some of those problems. The first problem I've got is that Haiku's video in virt-manager is quite painfully slow. When I drag Haiku windows around the desktop, they lag quite far behind where my mouse is. It's quite difficult to move a window to a precise position on the screen. Just imagine that the mouse was connected to the window title bar with a really stretchy spring. Also Haiku's mouse lags quite far behind where I have moved it. I found lots of Personal Package Archives that enable Spice from QEMU / KVM at the Ubuntu Personal Package Arhives. I tried a few of the PPAs but none of them worked; with one of them, the command "add-apt-repository" crashed with a traceback. There is a Wiki page about Spice, but it says that it only works on 64-bit. My Early 2006 MacBook Pro is 32-bit. Its Apple Model Identifier is MacBookPro1,1; these use Core Duos NOT Core 2 Duos. I don't mind building a source deb for 32-bit if I can expect it to work. Is there some reason that Spice should be 64-bit only? Does it need features of the x86_64 Instruction Set Architecture that x86 does not have? When I try using SDL from virt-manager, the configuration for Local SDL Window says "Xauth: /home/mike/.Xauthority". When I try to start my guest, virt-manager emits an error. When I Googled the error message, the usual solution was to make ~/.Xauthority readible. However, .Xauthorty does not exist in my home directory. Instead I have a $XAUTHORITY environment variable. There is no way to configure SDL in virt-manager to use $XAUTHORITY instead of ~/.Xauthority. Neither does it work to copy the value of $XAUTHORITY into the file. I am ready to scream, because I've been five fscking days trying to make KVM work for Haiku development. There is a whole lot more that is broken than the slow video. All I really want to do for now is speed up my full builds of Haiku by using "jam -j2" to use both cores in my CPU. I may try Xen next, but the last time I monkeyed with Xen it was far, far more broken than I am finding KVM to be. Just for now, I would be satisfied if there were some way to use my USB stick as a drive in VirtualBox. VB does allow me to configure /dev/sdb as a drive, but it always causes a fatal error when I try to launch the guest. Thank You For Any Advice You Can Give Me. -

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  • Fast Data - Big Data's achilles heel

    - by thegreeneman
    At OOW 2013 in Mark Hurd and Thomas Kurian's keynote, they discussed Oracle's Fast Data software solution stack and discussed a number of customers deploying Oracle's Big Data / Fast Data solutions and in particular Oracle's NoSQL Database.  Since that time, there have been a large number of request seeking clarification on how the Fast Data software stack works together to deliver on the promise of real-time Big Data solutions.   Fast Data is a software solution stack that deals with one aspect of Big Data, high velocity.   The software in the Fast Data solution stack involves 3 key pieces and their integration:  Oracle Event Processing, Oracle Coherence, Oracle NoSQL Database.   All three of these technologies address a high throughput, low latency data management requirement.   Oracle Event Processing enables continuous query to filter the Big Data fire hose, enable intelligent chained events to real-time service invocation and augments the data stream to provide Big Data enrichment. Extended SQL syntax allows the definition of sliding windows of time to allow SQL statements to look for triggers on events like breach of weighted moving average on a real-time data stream.    Oracle Coherence is a distributed, grid caching solution which is used to provide very low latency access to cached data when the data is too big to fit into a single process, so it is spread around in a grid architecture to provide memory latency speed access.  It also has some special capabilities to deploy remote behavioral execution for "near data" processing.   The Oracle NoSQL Database is designed to ingest simple key-value data at a controlled throughput rate while providing data redundancy in a cluster to facilitate highly concurrent low latency reads.  For example, when large sensor networks are generating data that need to be captured while analysts are simultaneously extracting the data using range based queries for upstream analytics.  Another example might be storing cookies from user web sessions for ultra low latency user profile management, also leveraging that data using holistic MapReduce operations with your Hadoop cluster to do segmented site analysis.  Understand how NoSQL plays a critical role in Big Data capture and enrichment while simultaneously providing a low latency and scalable data management infrastructure thru clustered, always on, parallel processing in a shared nothing architecture. Learn how easily a NoSQL cluster can be deployed to provide essential services in industry specific Fast Data solutions. See these technologies work together in a demonstration highlighting the salient features of these Fast Data enabling technologies in a location based personalization service. The question then becomes how do these things work together to deliver an end to end Fast Data solution.  The answer is that while different applications will exhibit unique requirements that may drive the need for one or the other of these technologies, often when it comes to Big Data you may need to use them together.   You may have the need for the memory latencies of the Coherence cache, but just have too much data to cache, so you use a combination of Coherence and Oracle NoSQL to handle extreme speed cache overflow and retrieval.   Here is a great reference to how these two technologies are integrated and work together.  Coherence & Oracle NoSQL Database.   On the stream processing side, it is similar as with the Coherence case.  As your sliding windows get larger, holding all the data in the stream can become difficult and out of band data may need to be offloaded into persistent storage.  OEP needs an extreme speed database like Oracle NoSQL Database to help it continue to perform for the real time loop while dealing with persistent spill in the data stream.  Here is a great resource to learn more about how OEP and Oracle NoSQL Database are integrated and work together.  OEP & Oracle NoSQL Database.

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  • The best computer ever

    - by Jeff
    (This is a repost from my personal blog… wow… I need to write more technical stuff!) About three years and three months ago, I bought a 17" MacBook Pro, and it turned out to be the best computer I've ever owned. You might think that every computer with better specs is automatically better than the last, but that hasn't been my experience. My first one was a Sony, back in the Pentium III days, and it cost an astonishing $2,500. That was even more ridiculous in 1999 dollars. It had a dial-up modem, and a CD-ROM, built-in! It may have even played DVD's. A few years later I bought an HP, and it ended up being a pile of shit. The power connector inside came loose from the board, and on occasion would even short. In 2005, I bought a Dell, and it wasn't bad. It had a really high resolution screen (complete with dead pixels, a problem in those days), and it was the first laptop I felt I could do real work on. When 2006 rolled around, Apple started making computers with Intel CPU's, and I bought the very first one the week it came out. I used Boot Camp to run Windows. I still have it in its box somewhere, and I used it for three years. The current 17" was new in 2009. The goodness was largely rooted in having a big screen with lots of dots. This computer has been the source of hundreds of blog posts, tens of thousands of lines of code, video and photo editing, and of course, a whole lot of Web surfing. It connected to corpnet at Microsoft, WiFi in Hawaii and has presented many a deck. It has traveled with me tens of thousands of miles. Last year, I put a solid state drive in it, and it was like getting a new computer. I can boot up a Windows 7 VM in about 19 seconds. Having 8 gigs of RAM has always been fantastic. Everything about it has been fast and fun. When new, the battery (when not using VM's) could get as much as 10 hours. I can still do 7 without much trouble. After 460 charge cycles, the battery health is still between 85 and 90%. The only real negative has been the size and weight. It's only an inch thick, but naturally it's pretty big with a 17" screen. You don't get battery life like that without a huge battery, either, so it's heavy. It was never a deal breaker, but sometimes a long haul across a large airport, you know you're carrying it. Today, Apple announced a new, thinner and lighter 15" laptop, with twice the RAM and CPU cores, and four times the screen resolution. It basically handles my size and weight issues while retaining the resolution, and it still costs less than my 17" did. So I ordered one. Three years is an excellent run, but I kind of budgeted for a new workhorse this year anyway. So if you're interested in a 17" MacBook Pro with a Core 2 Duo 2.66 GHz CPU, 8 gigs of RAM and a 320 gig hard drive (sorry, I'm keeping the SSD), I have one to sell. They've apparently discontinued the 17", which is going to piss off the video community. It's in excellent condition, with a few minor scratches, but I take care of my stuff.

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