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  • Sinatra: rendering snippets (partials)

    - by Michael
    I'm following along with an O'Reilly book that's building a twitter clone with Sinatra. As Sinatra doesn't have 'partials' (in the way that Rails does), the author creates his own 'snippets' that work like partials. I understand that this is fairly common in Sinatra. Anyways, inside one of his snippets (see the first one below) he calls another snippet text_limiter_js (which is copied below). Text_limiter_js is basically a javascript function. If you look at the javascript function in text_limiter_js, you'll notice that it takes two parameters. I don't understand where these parameters are coming from because they're not getting passed in when text_limiter_js is rendered inside the other snippet. I'm not sure if I've given enough information/code for someone to help me understand this, but if you can, please explain. =snippet :'/snippets/text_limiter_js' %h2.comic What are you doing? %form{:method => 'post', :action => '/update'} %textarea.update.span-15#update{:name => 'status', :rows => 2, :onKeyDown => "text_limiter($('#update'), $('#counter'))"} .span-6 %span#counter 140 characters left .prepend-12 %input#button{:type => 'submit', :value => 'update'} text_limiter_js.haml :javascript function text_limiter(field,counter_field) { limit = 139; if (field.val().length > limit) field.val(field.val().substring(0, limit)); else counter_field.text(limit - field.val().length); }

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  • set countdown correctly, as3

    - by VideoDnd
    How can I set my countdown correctly? I'm counting from 33,000.00 to zero. It works in a fashion, but the minus operator appears in the textfield. //Countdown from 33,000.00 to zero var timer:Timer = new Timer(10); var count:int = -3300000; var fcount:int = 0; timer.addEventListener(TimerEvent.TIMER, incrementCounter); timer.start(); function incrementCounter(event:TimerEvent) { count++; fcount=int(count); mytext.text = formatCount(fcount); } function formatCount(i:int):String { var fraction:int = i % 100; var whole:int = i / 100; return ("0000000" + whole).substr(-7, 7) + "." + (fraction < 10 ? "0" + fraction : fraction); } EXAMPLE I need something I can update with XML, to be an up-counter or down-counter depending on the variables. //Count up from 33,000.00 var countValue:int = 3300000; count = countValue; //Count down from 33,000.00 var countValue:int = -3300000; count = countValue;

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  • Load and Web Performance Testing using Visual Studio Ultimate 2010-Part 3

    - by Tarun Arora
    Welcome back once again, in Part 1 of Load and Web Performance Testing using Visual Studio 2010 I talked about why Performance Testing the application is important, the test tools available in Visual Studio Ultimate 2010 and various test rig topologies, in Part 2 of Load and Web Performance Testing using Visual Studio 2010 I discussed the details of web performance & load tests as well as why it’s important to follow a goal based pattern while performance testing your application. In part 3 I’ll be discussing Test Result Analysis, Test Result Drill through, Test Report Generation, Test Run Comparison, Asp.net Profiler and some closing thoughts. Test Results – I see some creepy worms! In Part 2 we put together a web performance test and a load test, lets run the test to see load test to see how the Web site responds to the load simulation. While the load test is running you will be able to see close to real time analysis in the Load Test Analyser window. You can use the Load Test Analyser to conduct load test analysis in three ways: Monitor a running load test - A condensed set of the performance counter data is maintained in memory. To prevent the results memory requirements from growing unbounded, up to 200 samples for each performance counter are maintained. This includes 100 evenly spaced samples that span the current elapsed time of the run and the most recent 100 samples.         After the load test run is completed - The test controller spools all collected performance counter data to a database while the test is running. Additional data, such as timing details and error details, is loaded into the database when the test completes. The performance data for a completed test is loaded from the database and analysed by the Load Test Analyser. Below you can see a screen shot of the summary view, this provides key results in a format that is compact and easy to read. You can also print the load test summary, this is generated after the test has completed or been stopped.         Analyse the load test results of a previously run load test – We’ll see this in the section where i discuss comparison between two test runs. The performance counters can be plotted on the graphs. You also have the option to highlight a selected part of the test and view details, drill down to the user activity chart where you can hover over to see more details of the test run.   Generate Report => Test Run Comparisons The level of reports you can generate using the Load Test Analyser is astonishing. You have the option to create excel reports and conduct side by side analysis of two test results or to track trend analysis. The tools also allows you to export the graph data either to MS Excel or to a CSV file. You can view the ASP.NET profiler report to conduct further analysis as well. View Data and Diagnostic Attachments opens the Choose Diagnostic Data Adapter Attachment dialog box to select an adapter to analyse the result type. For example, you can select an IntelliTrace adapter, click OK and open the IntelliTrace summary for the test agent that was used in the load test.   Compare results This creates a set of reports that compares the data from two load test results using tables and bar charts. I have taken these screen shots from the MSDN documentation, I would highly recommend exploring the wealth of knowledge available on MSDN. Leaving Thoughts While load testing the application with an excessive load for a longer duration of time, i managed to bring the IIS to its knees by piling up a huge queue of requests waiting to be processed. This clearly means that the IIS had run out of threads as all the threads were busy processing existing request, one easy way of fixing this is by increasing the default number of allocated threads, but this might escalate the problem. The better suggestion is to try and drill down to the actual root cause of the problem. When ever the garbage collection runs it stops processing any pages so all requests that come in during that period are queued up, but realistically the garbage collection completes in fraction of a a second. To understand this better lets look at the .net heap, it is divided into large heap and small heap, anything greater than 85kB in size will be allocated to the Large object heap, the Large object heap is non compacting and remember large objects are expensive to move around, so if you are allocating something in the large object heap, make sure that you really need it! The small object heap on the other hand is divided into generations, so all objects that are supposed to be short-lived are suppose to live in Gen-0 and the long living objects eventually move to Gen-2 as garbage collection goes through.  As you can see in the picture below all < 85 KB size objects are first assigned to Gen-0, when Gen-0 fills up and a new object comes in and finds Gen-0 full, the garbage collection process is started, the process checks for all the dead objects and assigns them as the valid candidate for deletion to free up memory and promotes all the remaining objects in Gen-0 to Gen-1. So in the future when ever you clean up Gen-1 you have to clean up Gen-0 as well. When you fill up Gen – 0 again, all of Gen – 1 dead objects are drenched and rest are moved to Gen-2 and Gen-0 objects are moved to Gen-1 to free up Gen-0, but by this time your Garbage collection process has started to take much more time than it usually takes. Now as I mentioned earlier when garbage collection is being run all page requests that come in during that period are queued up. Does this explain why possibly page requests are getting queued up, apart from this it could also be the case that you are waiting for a long running database process to complete.      Lets explore the heap a bit more… What is really a case of crisis is when the objects are living long enough to make it to Gen-2 and then dying, this is definitely a high cost operation. But sometimes you need objects in memory, for example when you cache data you hold on to the objects because you need to use them right across the user session, which is acceptable. But if you wanted to see what extreme caching can do to your server then write a simple application that chucks in a lot of data in cache, run a load test over it for about 10-15 minutes, forcing a lot of data in memory causing the heap to run out of memory. If you get to such a state where you start running out of memory the IIS as a mode of recovery restarts the worker process. It is great way to free up all your memory in the heap but this would clear the cache. The problem with this is if the customer had 10 items in their shopping basket and that data was stored in the application cache, the user basket will now be empty forcing them either to get frustrated and go to a competitor website or if the customer is really patient, give it another try! How can you address this, well two ways of addressing this; 1. Workaround – A x86 bit processor only allows a maximum of 4GB of RAM, this means the machine effectively has around 3.4 GB of RAM available, the OS needs about 1.5 GB of RAM to run efficiently, the IIS and .net framework also need their share of memory, leaving you a heap of around 800 MB to play with. Because Team builds by default build your application in ‘Compile as any mode’ it means the application is build such that it will run in x86 bit mode if run on a x86 bit processor and run in a x64 bit mode if run on a x64 but processor. The problem with this is not all applications are really x64 bit compatible specially if you are using com objects or external libraries. So, as a quick win if you compiled your application in x86 bit mode by changing the compile as any selection to compile as x86 in the team build, you will be able to run your application on a x64 bit machine in x86 bit mode (WOW – By running Windows on Windows) and what that means is, you could use 8GB+ worth of RAM, if you take away everything else your application will roughly get a heap size of at least 4 GB to play with, which is immense. If you need a heap size of more than 4 GB you have either build a software for NASA or there is something fundamentally wrong in your application. 2. Solution – Now that you have put a workaround in place the IIS will not restart the worker process that regularly, which means you can take a breather and start working to get to the root cause of this memory leak. But this begs a question “How do I Identify possible memory leaks in my application?” Well i won’t say that there is one single tool that can tell you where the memory leak is, but trust me, ‘Performance Profiling’ is a great start point, it definitely gets you started in the right direction, let’s have a look at how. Performance Wizard - Start the Performance Wizard and select Instrumentation, this lets you measure function call counts and timings. Before running the performance session right click the performance session settings and chose properties from the context menu to bring up the Performance session properties page and as shown in the screen shot below, check the check boxes in the group ‘.NET memory profiling collection’ namely ‘Collect .NET object allocation information’ and ‘Also collect the .NET Object lifetime information’.    Now if you fire off the profiling session on your pages you will notice that the results allows you to view ‘Object Lifetime’ which shows you the number of objects that made it to Gen-0, Gen-1, Gen-2, Large heap, etc. Another great feature about the profile is that if your application has > 5% cases where objects die right after making to the Gen-2 storage a threshold alert is generated to alert you. Since you have the option to also view the most expensive methods and by capturing the IntelliTrace data you can drill in to narrow down to the line of code that is the root cause of the problem. Well now that we have seen how crucial memory management is and how easy Visual Studio Ultimate 2010 makes it for us to identify and reproduce the problem with the best of breed tools in the product. Caching One of the main ways to improve performance is Caching. Which basically means you tell the web server that instead of going to the database for each request you keep the data in the webserver and when the user asks for it you serve it from the webserver itself. BUT that can have consequences! Let’s look at some code, trust me caching code is not very intuitive, I define a cache key for almost all searches made through the common search page and cache the results. The approach works fine, first time i get the data from the database and second time data is served from the cache, significant performance improvement, EXCEPT when two users try to do the same operation and run into each other. But it is easy to handle this by adding the lock as you can see in the snippet below. So, as long as a user comes in and finds that the cache is empty, the user locks and starts to get the cache no more concurrency issues. But lets say you are processing 10 requests per second, by the time i have locked the operation to get the results from the database, 9 other users came in and found that the cache key is null so after i have come out and populated the cache they will still go in to get the results again. The application will still be faster because the next set of 10 users and so on would continue to get data from the cache. BUT if we added another null check after locking to build the cache and before actual call to the db then the 9 users who follow me would not make the extra trip to the database at all and that would really increase the performance, but didn’t i say that the code won’t be very intuitive, may be you should leave a comment you don’t want another developer to come in and think what a fresher why is he checking for the cache key null twice !!! The downside of caching is, you are storing the data outside of the database and the data could be wrong because the updates applied to the database would make the data cached at the web server out of sync. So, how do you invalidate the cache? Well if you only had one way of updating the data lets say only one entry point to the data update you can write some logic to say that every time new data is entered set the cache object to null. But this approach will not work as soon as you have several ways of feeding data to the system or your system is scaled out across a farm of web servers. The perfect solution to this is Micro Caching which means you cache the query for a set time duration and invalidate the cache after that set duration. The advantage is every time the user queries for that data with in the time span for which you have cached the results there are no calls made to the database and the data is served right from the server which makes the response immensely quick. Now figuring out the appropriate time span for which you micro cache the query results really depends on the application. Lets say your website gets 10 requests per second, if you retain the cache results for even 1 minute you will have immense performance gains. You would reduce 90% hits to the database for searching. Ever wondered why when you go to e-bookers.com or xpedia.com or yatra.com to book a flight and you click on the book button because the fare seems too exciting and you get an error message telling you that the fare is not valid any more. Yes, exactly => That is a cache failure! These travel sites or price compare engines are not going to hit the database every time you hit the compare button instead the results will be served from the cache, because the query results are micro cached, its a perfect trade-off, by micro caching the results the site gains 100% performance benefits but every once in a while annoys a customer because the fare has expired. But the trade off works in the favour of these sites as they are still able to process up to 30+ page requests per second which means cater to the site traffic by may be losing 1 customer every once in a while to a competitor who is also using a similar caching technique what are the odds that the user will not come back to their site sooner or later? Recap   Resources Below are some Key resource you might like to review. I would highly recommend the documentation, walkthroughs and videos available on MSDN. You can always make use of Fiddler to debug Web Performance Tests. Some community test extensions and plug ins available on Codeplex might also be of interest to you. The Road Ahead Thank you for taking the time out and reading this blog post, you may also want to read Part I and Part II if you haven’t so far. If you enjoyed the post, remember to subscribe to http://feeds.feedburner.com/TarunArora. Questions/Feedback/Suggestions, etc please leave a comment. Next ‘Load Testing in the cloud’, I’ll be working on exploring the possibilities of running Test controller/Agents in the Cloud. See you on the other side! Thank You!   Share this post : CodeProject

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  • A jQuery Plug-in to monitor Html Element CSS Changes

    - by Rick Strahl
    Here's a scenario I've run into on a few occasions: I need to be able to monitor certain CSS properties on an HTML element and know when that CSS element changes. The need for this arose out of wanting to build generic components that could 'attach' themselves to other objects and monitor changes on the ‘parent’ object so the dependent object can adjust itself accordingly. What I wanted to create is a jQuery plug-in that allows me to specify a list of CSS properties to monitor and have a function fire in response to any change to any of those CSS properties. The result are the .watch() and .unwatch() jQuery plug-ins. Here’s a simple example page of this plug-in that demonstrates tracking changes to an element being moved with draggable and closable behavior: http://www.west-wind.com/WestWindWebToolkit/samples/Ajax/jQueryPluginSamples/WatcherPlugin.htm Try it with different browsers – IE and FireFox use the DOM event handlers and Chrome, Safari and Opera use setInterval handlers to manage this behavior. It should work in all of them but all but IE and FireFox will show a bit of lag between the changes in the main element and the shadow. The relevant HTML for this example is this fragment of a main <div> (#notebox) and an element that is to mimic a shadow (#shadow). <div class="containercontent"> <div id="notebox" style="width: 200px; height: 150px;position: absolute; z-index: 20; padding: 20px; background-color: lightsteelblue;"> Go ahead drag me around and close me! </div> <div id="shadow" style="background-color: Gray; z-index: 19;position:absolute;display: none;"> </div> </div> The watcher plug in is then applied to the main <div> and shadow in sync with the following plug-in code: <script type="text/javascript"> $(document).ready(function () { var counter = 0; $("#notebox").watch("top,left,height,width,display,opacity", function (data, i) { var el = $(this); var sh = $("#shadow"); var propChanged = data.props[i]; var valChanged = data.vals[i]; counter++; showStatus("Prop: " + propChanged + " value: " + valChanged + " " + counter); var pos = el.position(); var w = el.outerWidth(); var h = el.outerHeight(); sh.css({ width: w, height: h, left: pos.left + 5, top: pos.top + 5, display: el.css("display"), opacity: el.css("opacity") }); }) .draggable() .closable() .css("left", 10); }); </script> When you run this page as you drag the #notebox element the #shadow element will maintain and stay pinned underneath the #notebox element effectively keeping the shadow attached to the main element. Likewise, if you hide or fadeOut() the #notebox element the shadow will also go away – show the #notebox element and the shadow also re-appears because we are assigning the display property from the parent on the shadow. Note we’re attaching the .watch() plug-in to the #notebox element and have it fire whenever top,left,height,width,opacity or display CSS properties are changed. The passed data element contains a props[] and vals[] array that holds the properties monitored and their current values. An index passed as the second parm tells you which property has changed and what its current value is (propChanged/valChanged in the code above). The rest of the watcher handler code then deals with figuring out the main element’s position and recalculating and setting the shadow’s position using the jQuery .css() function. Note that this is just an example to demonstrate the watch() behavior here – this is not the best way to create a shadow. If you’re interested in a more efficient and cleaner way to handle shadows with a plug-in check out the .shadow() plug-in in ww.jquery.js (code search for fn.shadow) which uses native CSS features when available but falls back to a tracked shadow element on browsers that don’t support it, which is how this watch() plug-in came about in the first place :-) How does it work? The plug-in works by letting the user specify a list of properties to monitor as a comma delimited string and a handler function: el.watch("top,left,height,width,display,opacity", function (data, i) {}, 100, id) You can also specify an interval (if no DOM event monitoring isn’t available in the browser) and an ID that identifies the event handler uniquely. The watch plug-in works by hooking up to DOMAttrModified in FireFox, to onPropertyChanged in Internet Explorer, or by using a timer with setInterval to handle the detection of changes for other browsers. Unfortunately WebKit doesn’t support DOMAttrModified consistently at the moment so Safari and Chrome currently have to use the slower setInterval mechanism. In response to a changed property (or a setInterval timer hit) a JavaScript handler is fired which then runs through all the properties monitored and determines if and which one has changed. The DOM events fire on all property/style changes so the intermediate plug-in handler filters only those hits we’re interested in. If one of our monitored properties has changed the specified event handler function is called along with a data object and an index that identifies the property that’s changed in the data.props/data.vals arrays. The jQuery plugin to implement this functionality looks like this: (function($){ $.fn.watch = function (props, func, interval, id) { /// <summary> /// Allows you to monitor changes in a specific /// CSS property of an element by polling the value. /// when the value changes a function is called. /// The function called is called in the context /// of the selected element (ie. this) /// </summary> /// <param name="prop" type="String">CSS Properties to watch sep. by commas</param> /// <param name="func" type="Function"> /// Function called when the value has changed. /// </param> /// <param name="interval" type="Number"> /// Optional interval for browsers that don't support DOMAttrModified or propertychange events. /// Determines the interval used for setInterval calls. /// </param> /// <param name="id" type="String">A unique ID that identifies this watch instance on this element</param> /// <returns type="jQuery" /> if (!interval) interval = 100; if (!id) id = "_watcher"; return this.each(function () { var _t = this; var el$ = $(this); var fnc = function () { __watcher.call(_t, id) }; var data = { id: id, props: props.split(","), vals: [props.split(",").length], func: func, fnc: fnc, origProps: props, interval: interval, intervalId: null }; // store initial props and values $.each(data.props, function (i) { data.vals[i] = el$.css(data.props[i]); }); el$.data(id, data); hookChange(el$, id, data); }); function hookChange(el$, id, data) { el$.each(function () { var el = $(this); if (typeof (el.get(0).onpropertychange) == "object") el.bind("propertychange." + id, data.fnc); else if ($.browser.mozilla) el.bind("DOMAttrModified." + id, data.fnc); else data.intervalId = setInterval(data.fnc, interval); }); } function __watcher(id) { var el$ = $(this); var w = el$.data(id); if (!w) return; var _t = this; if (!w.func) return; // must unbind or else unwanted recursion may occur el$.unwatch(id); var changed = false; var i = 0; for (i; i < w.props.length; i++) { var newVal = el$.css(w.props[i]); if (w.vals[i] != newVal) { w.vals[i] = newVal; changed = true; break; } } if (changed) w.func.call(_t, w, i); // rebind event hookChange(el$, id, w); } } $.fn.unwatch = function (id) { this.each(function () { var el = $(this); var data = el.data(id); try { if (typeof (this.onpropertychange) == "object") el.unbind("propertychange." + id, data.fnc); else if ($.browser.mozilla) el.unbind("DOMAttrModified." + id, data.fnc); else clearInterval(data.intervalId); } // ignore if element was already unbound catch (e) { } }); return this; } })(jQuery); Note that there’s a corresponding .unwatch() plug-in that can be used to stop monitoring properties. The ID parameter is optional both on watch() and unwatch() – a standard name is used if you don’t specify one, but it’s a good idea to use unique names for each element watched to avoid overlap in event ids especially if you’re monitoring many elements. The syntax is: $.fn.watch = function(props, func, interval, id) props A comma delimited list of CSS style properties that are to be watched for changes. If any of the specified properties changes the function specified in the second parameter is fired. func The function fired in response to a changed styles. Receives this as the element changed and an object parameter that represents the watched properties and their respective values. The first parameter is passed in this structure: { id: watcherId, props: [], vals: [], func: thisFunc, fnc: internalHandler, origProps: strPropertyListOnWatcher }; A second parameter is the index of the changed property so data.props[i] or data.vals[i] gets the property and changed value. interval The interval for setInterval() for those browsers that don't support property watching in the DOM. In milliseconds. id An optional id that identifies this watcher. Required only if multiple watchers might be hooked up to the same element. The default is _watcher if not specified. It’s been a Journey I started building this plug-in about two years ago and had to make many modifications to it in response to changes in jQuery and also in browser behaviors. I think the latest round of changes made should make this plug-in fairly future proof going forward (although I hope there will be better cross-browser change event notifications in the future). One of the big problems I ran into had to do with recursive change notifications – it looks like starting with jQuery 1.44 and later, jQuery internally modifies element properties on some calls to some .css()  property retrievals and things like outerHeight/Width(). In IE this would cause nasty lock up issues at times. In response to this I changed the code to unbind the events when the handler function is called and then rebind when it exits. This also makes user code less prone to stack overflow recursion as you can actually change properties on the base element. It also means though that if you change one of the monitors properties in the handler the watch() handler won’t fire in response – you need to resort to a setTimeout() call instead to force the code to run outside of the handler: $("#notebox") el.watch("top,left,height,width,display,opacity", function (data, i) { var el = $(this); … // this makes el changes work setTimeout(function () { el.css("top", 10) },10); }) Since I’ve built this component I’ve had a lot of good uses for it. The .shadow() fallback functionality is one of them. Resources The watch() plug-in is part of ww.jquery.js and the West Wind West Wind Web Toolkit. You’re free to use this code here or the code from the toolkit. West Wind Web Toolkit Latest version of ww.jquery.js (search for fn.watch) watch plug-in documentation © Rick Strahl, West Wind Technologies, 2005-2011Posted in ASP.NET  JavaScript  jQuery  

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  • NSClient++ FAIL on Windows 2008 R2 -- PDHCollector.cpp(215) Failed to query performance counters

    - by John DaCosta
    I am attempting to monitor windows server 2008 r2 x64 Enterprise with Nagios. When I test/install the nsclientI get the following error: PDHCollector.cpp(215) Failed to query performance counters: \Processor(_total)\% Processor Time: PdhGetFormattedCounterValue failed: A counter with a negative denominator value was detected. (800007D6) Has anyone else encountered the same issue and / or resolved it, found a work around?

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  • How to enable boot timeout in Grub2?

    - by Casey
    I'm am trying to enable the boot timeout selection in grub2 on Ubuntu 9.10. I modified /etc/default/grub: GRUB_DEFAULT=0 #GRUB_HIDDEN_TIMEOUT=0 GRUB_HIDDEN_TIMEOUT_QUIET=false GRUB_TIMEOUT=2 GRUB_DISTRIBUTOR=`lsb_release -i -s 2> /dev/null || echo Debian` GRUB_CMDLINE_LINUX_DEFAULT="splash quiet" GRUB_CMDLINE_LINUX="" and ran update-grub, but I still do not have a boot timeout counter. What else can you do to enable this?

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  • ASPNET WMI class not available

    - by Nexus
    I need to extract the ASPNET\Requests Queued performance counter from some IIS servers via WMI. The WMI class for this sort of thing appears to be contained in Win32_PerfFormattedData_ASPNET_ASPNET. I've queried all available classes in root\cimv2 on my Win 2003/IIS6 servers, and it's not listed. It is, however, available on an unrelated Win2008/IIS7 box (which is interesting but doesn't really help me much) What gives? Why is this WMI class not available on my Windows 2003 servers?

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  • Snow Leopard on Core Duo

    - by Brendan Foote
    The first run of MacBook Pros have Core Duo processors, whereas all the ones after that have Core 2 Duos. Apple says Snow Leopard only requires an Intel processor, but will a first-gen MacBook Pro get enough of the improvements to be worth upgrading? This is similar to the question about Snow Leopard on an old iBook, but it differs because this processor is supported by Apple, but seems counter to the 64-bit theme of the upgrade.

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  • How to set per user mail quota for postfix using policyd v2?

    - by ACHAL
    I have configured cluebringer 2.0.7 mysql httpd and all services are running well . But now i want to set per user mail quota for outgoing mails and want to restrict for a fix number of mail. I have tried to setup a quota for my host r10.4reseller.org but not working Quota List Policy:- Default Outbound Name:-Default Outbound Track:-Sender:user@domain Period:-60 verdict:-REJECT Data:- Disabled:- no Quota Limits Type:- MessageCount Counter Limit:- 1 Disabled:-no Do I need to do anymore settings for quota ?

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  • Configuring service restart with 'restart service after' parameter

    - by Tim Brigham
    It appears that sc.exe isn't capable of setting the 'restart service after' parameter and powershell isn't capable of setting up service restarts at all. My intended configuration is failure1/restart failure2/restart failure3/nothing with a five minute counter between each restart. The five minute timer is extremely important. Is there anything else I can look at other than some registry hackery configure this?

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  • Policyd quotas setup

    - by sasap
    I have installed and configured policyd 2.0.8 according to INSTALL document in installation directory. My webui works fine, no problem reported in logs. And then I setup some quotas on Default policy. Quota: - Policy: Default - Name: Sending quota - Track: SenderIP:/24 - Period: 3600 - Verdict: REJECT - Data: - Disabled: no Limits: - Type: Message count - Counter limit: 2 - Disabled: no But, problem is that I'm still able to send as manu messages as I want. Perhaps I missing something?

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  • How long does a blocked connection from Iptables last? Is there a way to set the timeout?

    - by Josh
    iptables -A INPUT -m state --state NEW -m recent --set # If we receive more than 10 connections in 10 seconds block our friend. iptables -A INPUT -m state --state NEW -m recent --update --seconds 5 --hitcount 15 -j Log-N-Drop I have these two relevant rules from iptables. if more than 15 connections are made in 5 seconds it logs the attempt and blocks it. How long does iptables maintain the counter? Does it refresh if connections are attempted again?

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  • How can ASP.NET's "Request Wait Time" be 0 when "Requests Queued" is consistently in the hundreds?

    - by ondrej
    I'm curious why Performance Monitor claims I always have a few hundred ASP.NET 3.5 requests "queued". The "Requests Queued" "ASP.NET v2.0.50727" performance counter is hovering in the few-hundred range despite the fact "Request Wait Time" is consistently 0. If each and every request never waits even a fraction of a millisecond, how could it be in the queue? The "ASP.NET Apps v2.0.50727" counters for "Requests In Application Queue" and "Request Wait Time" are always 0.

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  • Is integrated graphics card Radeon HD 4200 capable to handle full HD?

    - by develroot
    I enjoy my integrated graphics card Radeon HD 4200 at resolution of 1280x1024 pixels on a 19" inches LG Flatron (5:4 aspect ratio) (playing FIFA 10 at max resolution, max quality). But recently i decided to upgrade my monitor and to get an 24" inches BENQ, 1920x1080, fullHD. Would I experience any problems with that graphics card on a such a big monitor? Usually I don't play games, just movies/music/and of programming, but it would be nice to be able to play some Counter Strike without artifacts.

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  • In utf-8 collation, why 11- is less then 1- ?

    - by ???
    I found that the sort result in ASCII: 1- 11- and in UTF-8: 11- 1- I feel it's so counter-intuitive, and it's not dictionary order. Isn't the character '-' (002d) is always less then [0-9] (0030-0039)? What's the general rule in UTF-8 collation? And how to bypass it, just make - be less then [0-9] while keep other characters unchanged for UTF-8, in Linux? (So it can affects the result of ls --sort, sort, etc. )

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  • How do you tell if IIS is I/O bound?

    - by christopherstott
    Running IIS 6 on Windows 2003 server (with a web service app). I suspect the machine is I/O bound. I'm hearing reports of errors - but not seeing those errors in the IIS logs. What is the standard way of verifying this? Is there a counter in perfmon? Thanks for the help.

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  • Can a SQL Server have a CPU bottleneck when Processor Time is under 30%

    - by Sleepless
    Is it in principle possible for the CPU to be the bottleneck on a SQL Server if the Performance Counter Processor:Processor Time is constantly under 30% on all cores? Or does low Processor Time automatically allow me to rule out the CPU as a potential trouble source? I am asking this because SQL Nexus lists CPU as the top bottleneck on a server with low Processor Time values.

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  • How to change default user (ubuntu) via CloudInit on AWS

    - by Gui Ambros
    I'm using CloudInit to automate the startup of my instances on AWS. I followed the (scarce) documentation available at http://bazaar.launchpad.net/~cloud-init-dev/cloud-init/trunk/annotate/head%3A/doc/examples/cloud-config.txt and examples on /usr/share/doc/cloud-init, but still haven't figured out how to change the default username (ubuntu, id:1000). I know I can create a script to manually delete the default ubuntu and add my user, but seems counter intuitive given that CloudInit exist exactly to automate the initial setup. Any ideas?

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  • How to count each digit in a range of integers?

    - by Carlos Gutiérrez
    Imagine you sell those metallic digits used to number houses, locker doors, hotel rooms, etc. You need to find how many of each digit to ship when your customer needs to number doors/houses: 1 to 100 51 to 300 1 to 2,000 with zeros to the left The obvious solution is to do a loop from the first to the last number, convert the counter to a string with or without zeros to the left, extract each digit and use it as an index to increment an array of 10 integers. I wonder if there is a better way to solve this, without having to loop through the entire integers range. Solutions in any language or pseudocode are welcome. Edit: Answers review John at CashCommons and Wayne Conrad comment that my current approach is good and fast enough. Let me use a silly analogy: If you were given the task of counting the squares in a chess board in less than 1 minute, you could finish the task by counting the squares one by one, but a better solution is to count the sides and do a multiplication, because you later may be asked to count the tiles in a building. Alex Reisner points to a very interesting mathematical law that, unfortunately, doesn’t seem to be relevant to this problem. Andres suggests the same algorithm I’m using, but extracting digits with %10 operations instead of substrings. John at CashCommons and phord propose pre-calculating the digits required and storing them in a lookup table or, for raw speed, an array. This could be a good solution if we had an absolute, unmovable, set in stone, maximum integer value. I’ve never seen one of those. High-Performance Mark and strainer computed the needed digits for various ranges. The result for one millon seems to indicate there is a proportion, but the results for other number show different proportions. strainer found some formulas that may be used to count digit for number which are a power of ten. Robert Harvey had a very interesting experience posting the question at MathOverflow. One of the math guys wrote a solution using mathematical notation. Aaronaught developed and tested a solution using mathematics. After posting it he reviewed the formulas originated from Math Overflow and found a flaw in it (point to Stackoverflow :). noahlavine developed an algorithm and presented it in pseudocode. A new solution After reading all the answers, and doing some experiments, I found that for a range of integer from 1 to 10n-1: For digits 1 to 9, n*10(n-1) pieces are needed For digit 0, if not using leading zeros, n*10n-1 - ((10n-1) / 9) are needed For digit 0, if using leading zeros, n*10n-1 - n are needed The first formula was found by strainer (and probably by others), and I found the other two by trial and error (but they may be included in other answers). For example, if n = 6, range is 1 to 999,999: For digits 1 to 9 we need 6*105 = 600,000 of each one For digit 0, without leading zeros, we need 6*105 – (106-1)/9 = 600,000 - 111,111 = 488,889 For digit 0, with leading zeros, we need 6*105 – 6 = 599,994 These numbers can be checked using High-Performance Mark results. Using these formulas, I improved the original algorithm. It still loops from the first to the last number in the range of integers, but, if it finds a number which is a power of ten, it uses the formulas to add to the digits count the quantity for a full range of 1 to 9 or 1 to 99 or 1 to 999 etc. Here's the algorithm in pseudocode: integer First,Last //First and last number in the range integer Number //Current number in the loop integer Power //Power is the n in 10^n in the formulas integer Nines //Nines is the resut of 10^n - 1, 10^5 - 1 = 99999 integer Prefix //First digits in a number. For 14,200, prefix is 142 array 0..9 Digits //Will hold the count for all the digits FOR Number = First TO Last CALL TallyDigitsForOneNumber WITH Number,1 //Tally the count of each digit //in the number, increment by 1 //Start of optimization. Comments are for Number = 1,000 and Last = 8,000. Power = Zeros at the end of number //For 1,000, Power = 3 IF Power 0 //The number ends in 0 00 000 etc Nines = 10^Power-1 //Nines = 10^3 - 1 = 1000 - 1 = 999 IF Number+Nines <= Last //If 1,000+999 < 8,000, add a full set Digits[0-9] += Power*10^(Power-1) //Add 3*10^(3-1) = 300 to digits 0 to 9 Digits[0] -= -Power //Adjust digit 0 (leading zeros formula) Prefix = First digits of Number //For 1000, prefix is 1 CALL TallyDigitsForOneNumber WITH Prefix,Nines //Tally the count of each //digit in prefix, //increment by 999 Number += Nines //Increment the loop counter 999 cycles ENDIF ENDIF //End of optimization ENDFOR SUBROUTINE TallyDigitsForOneNumber PARAMS Number,Count REPEAT Digits [ Number % 10 ] += Count Number = Number / 10 UNTIL Number = 0 For example, for range 786 to 3,021, the counter will be incremented: By 1 from 786 to 790 (5 cycles) By 9 from 790 to 799 (1 cycle) By 1 from 799 to 800 By 99 from 800 to 899 By 1 from 899 to 900 By 99 from 900 to 999 By 1 from 999 to 1000 By 999 from 1000 to 1999 By 1 from 1999 to 2000 By 999 from 2000 to 2999 By 1 from 2999 to 3000 By 1 from 3000 to 3010 (10 cycles) By 9 from 3010 to 3019 (1 cycle) By 1 from 3019 to 3021 (2 cycles) Total: 28 cycles Without optimization: 2,235 cycles Note that this algorithm solves the problem without leading zeros. To use it with leading zeros, I used a hack: If range 700 to 1,000 with leading zeros is needed, use the algorithm for 10,700 to 11,000 and then substract 1,000 - 700 = 300 from the count of digit 1. Benchmark and Source code I tested the original approach, the same approach using %10 and the new solution for some large ranges, with these results: Original 104.78 seconds With %10 83.66 With Powers of Ten 0.07 A screenshot of the benchmark application: If you would like to see the full source code or run the benchmark, use these links: Complete Source code (in Clarion): http://sca.mx/ftp/countdigits.txt Compilable project and win32 exe: http://sca.mx/ftp/countdigits.zip Accepted answer noahlavine solution may be correct, but l just couldn’t follow the pseudo code, I think there are some details missing or not completely explained. Aaronaught solution seems to be correct, but the code is just too complex for my taste. I accepted strainer’s answer, because his line of thought guided me to develop this new solution.

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  • Where to look for real url

    - by smallB
    I'm trying to write simple application for downloading videos from youtube. My code for getting file (http://www.youtube.com/watch?v=pViMzR_ylXg) looks like: bool FD_core::get_file() { QNetworkRequest request; request.setUrl(QUrl("http://www.youtube.com/watch?v=pViMzR_ylXg")); connect(network_access_manager_, SIGNAL(finished(QNetworkReply*)), this, SLOT(onRequestCompleted(QNetworkReply *))); network_access_manager_->get(request); return true; } void FD_core::onRequestCompleted(QNetworkReply * reply) { QByteArray data_ = reply->readAll(); cout << data_.constData(); qDebug() << "size: " << data_.size(); } In the above function data_.constData() produces lots of text, part (very small) of it: <!DOCTYPE html> <html lang="en" dir="ltr" > <head> <script> var yt = yt || {};yt.timing = yt.timing || {};yt.timing.tick = function(label, opt_time) {var timer = yt.timing['timer'] || {};if(opt_time) {timer[label] = opt_time;}else {timer[label] = new Date().getTime();}yt.timing['timer'] = timer;};yt.timing.info = function(label, value) {var info_args = yt.timing['info_args'] || {};info_args[label] = value;yt.timing['info_args'] = info_args;};yt.timing.info('e', "907050,906359,927900,919320,914021,916611,922401,920704,912806,927201,925706,928001,922403,913546,913556,920201,911116,901451");yt.timing.wff = true;yt.timing.info('pr', "1");yt.timing.info('an', "dclk,aftv,afv");if (document.webkitVisibilityState == 'prerender') {document.addEventListener('webkitvisibilitychange', function() {yt.timing.tick('start');}, false);}yt.timing.tick('start');yt.timing.info('li','0');try {yt.timing['srt'] = window.gtbExternal && window.gtbExternal.pageT() ||window.external && window.external.pageT;} catch(e) {}if (window.chrome && window.chrome.csi) {yt.timing['srt'] = Math.floor(window.chrome.csi().pageT);}if (window.msPerformance && window.msPerformance.timing) {yt.timing['srt'] = window.msPerformance.timing.responseStart - window.msPerformance.timing.navigationStart;} </script> <script>var yt = yt || {};yt.preload = {};yt.preload.counter_ = 0;yt.preload.start = function(src) {var img = new Image();var counter = ++yt.preload.counter_;yt.preload[counter] = img;img.onload = img.onerror = function () {delete yt.preload[counter];};img.src = src;img = null;};yt.preload.start("http:\/\/o-o---preferred---sn-xn5ucu-q0ce---v3---lscache7.c.youtube.com\/crossdomain.xml");yt.preload.start("http:\/\/o-o---preferred---sn-xn5ucu-q0ce---v3---lscache7.c.youtube.com\/generate_204?ip=95.83.224.63\u0026upn=A3aUhLYV55M\u0026sparams=algorithm%2Cburst%2Ccp%2Cfactor%2Cgcr%2Cid%2Cip%2Cipbits%2Citag%2Csource%2Cupn%2Cexpire\u0026fexp=907050%2C906359%2C927900%2C919320%2C914021%2C916611%2C922401%2C920704%2C912806%2C927201%2C925706%2C928001%2C922403%2C913546%2C913556%2C920201%2C911116%2C901451\u0026mt=1354207274\u0026key=yt1\u0026algorithm=throttle-factor\u0026burst=40\u0026ipbits=8\u0026itag=34\u0026sver=3\u0026signature=692E605215EB4D2CA407291CA26E14B844768A89.7A2930CE25FDDFC7C4FF5AA56DD02538B0020267\u0026mv=m\u0026source=youtube\u0026ms=au\u0026gcr=ie\u0026expire=1354228237\u0026factor=1.25\u0026cp=U0hUSVJNVl9IUUNONF9KR1pDOi0tSFhhRzVFRkd6\u0026id=a5588ccd1ff29578");</script><title>Die Antwoord - Fok Julle Naaiers (Mike Tyson&#39;s Words NOT DJ Hi-Teks) - YouTube</title><link rel="search" type="application/opensearchdescription+xml" href="http://www.youtube.com/opensearch?locale=en_US" title="YouTube Video Search"><link rel="icon" href="http://s.ytimg.com/yts/img/favicon-vfldLzJxy.ico" type="image/x-icon"><link rel="shortcut icon" href="http://s.ytimg.com/yts/img/favicon-vfldLzJxy.ico" type="image/x-icon"> <link rel="icon" href="//s.ytimg.com/yts/img/favicon_32-vflWoMFGx.png" sizes="32x32"><link rel="canonical" href="/watch?v=pViMzR_ylXg"><link rel="alternate" media="handheld" href="http://m.youtube.com/watch?v=pViMzR_ylXg"><link rel="alternate" media="only screen and (max-width: 640px)" href="http://m.youtube.com/watch?v=pViMzR_ylXg"><link rel="shortlink" href="http://youtu.be/pViMzR_ylXg"> <meta name="title" content="Die Antwoord - Fok Julle Naaiers (Mike Tyson&#39;s Words NOT DJ Hi-Teks)"> <meta name="description" content="Some of the lyrics of &quot;Die Antwoord&quot; new single &quot;Fok Julle Naaiers&quot; have caused such controversy that Die Antwoord have split with their record label Intersc..."> <meta name="keywords" content="Die Antwoord, Fok Julle Naaiers, Mike Tyson, DJ Hi-Tek, Faggot"> <link rel="alternate" type="application/json+oembed" href="http://www.youtube.com/oembed?url=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DpViMzR_ylXg&amp;format=json" title="Die Antwoord - Fok Julle Naaiers (Mike Tyson&#39;s Words NOT DJ Hi-Teks)"> <link rel="alternate" type="text/xml+oembed" href="http://www.youtube.com/oembed?url=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DpViMzR_ylXg&amp;format=xml" title="Die Antwoord - Fok Julle Naaiers (Mike Tyson&#39;s Words NOT DJ Hi-Teks)"> <meta property="og:url" content="http://www.youtube.com/watch?v=pViMzR_ylXg"> <meta property="og:title" content="Die Antwoord - Fok Julle Naaiers (Mike Tyson&#39;s Words NOT DJ Hi-Teks)"> <meta property="og:description" content="Some of the lyrics of &quot;Die Antwoord&quot; new single &quot;Fok Julle Naaiers&quot; have caused such controversy that Die Antwoord have split with their record label Intersc..."> <meta property="og:type" content="video"> <meta property="og:image" content="http://i1.ytimg.com/vi/pViMzR_ylXg/mqdefault.jpg"> <meta property="og:video" content="http://www.youtube.com/v/pViMzR_ylXg?version=3&amp;autohide=1"> <meta property="og:video:type" content="application/x-shockwave-flash"> <meta property="og:video:width" content="853"> <meta property="og:video:height" content="480"> <meta property="og:site_name" content="YouTube"> <meta property="fb:app_id" content="87741124305"> <meta name="twitter:card" value="player"> <meta name="twitter:site" value="@youtube"> <meta name="twitter:player" value="https://www.youtube.com/embed/pViMzR_ylXg"> <meta property="twitter:player:width" content="853"> <meta property="twitter:player:height" content="480"> So my question is, where in this file is the url hidden which will allow me to download the wanted file?

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  • Can anyone help me with this VHDL code (currently malfunctioning)?

    - by xx77aBs
    This code should be (and is) very simple, and I don't know what I am doing wrong. Here is description of what it should do: It should display a number on one 7-segment display. That number should be increased by one every time someone presses the push button. There is also reset button which sets the number to 0. That's it. Here is VHDL code: library IEEE; use IEEE.STD_LOGIC_1164.ALL; use IEEE.STD_LOGIC_ARITH.ALL; use IEEE.STD_LOGIC_UNSIGNED.ALL; entity PWM is Port ( cp_in : in STD_LOGIC; inc : in STD_LOGIC; rst: in std_logic; AN : out STD_LOGIC_VECTOR (3 downto 0); segments : out STD_LOGIC_VECTOR (6 downto 0)); end PWM; architecture Behavioral of PWM is signal cp: std_logic; signal CurrentPWMState: integer range 0 to 10; signal inco: std_logic; signal temp: std_logic_vector (3 downto 0); begin --cp = 100 Hz counter: entity djelitelj generic map (CountTo => 250000) port map (cp_in, cp); debounce: entity debounce port map (inc, cp, inco); temp <= conv_std_logic_vector(CurrentPWMState, 4); ss: entity decoder7seg port map (temp, segments); process (inco, rst) begin if inco = '1' then CurrentPWMState <= CurrentPWMState + 1; elsif rst='1' then CurrentPWMState <= 0; end if; end process; AN <= "1110"; end Behavioral; Entity djelitelj (the counter used to divide 50MHz clock): library IEEE; use IEEE.STD_LOGIC_1164.ALL; use IEEE.STD_LOGIC_ARITH.ALL; use IEEE.STD_LOGIC_UNSIGNED.ALL; entity PWM is Port ( cp_in : in STD_LOGIC; inc : in STD_LOGIC; rst: in std_logic; AN : out STD_LOGIC_VECTOR (3 downto 0); segments : out STD_LOGIC_VECTOR (6 downto 0)); end PWM; architecture Behavioral of PWM is signal cp: std_logic; signal CurrentPWMState: integer range 0 to 10; signal inco: std_logic; signal temp: std_logic_vector (3 downto 0); begin --cp = 100 Hz counter: entity djelitelj generic map (CountTo => 250000) port map (cp_in, cp); debounce: entity debounce port map (inc, cp, inco); temp <= conv_std_logic_vector(CurrentPWMState, 4); ss: entity decoder7seg port map (temp, segments); process (inco, rst) begin if inco = '1' then CurrentPWMState <= CurrentPWMState + 1; elsif rst='1' then CurrentPWMState <= 0; end if; end process; AN <= "1110"; end Behavioral; Debouncing entity: library IEEE; use IEEE.STD_LOGIC_1164.all; use IEEE.STD_LOGIC_ARITH.all; use IEEE.STD_LOGIC_UNSIGNED.all; ENTITY debounce IS PORT(pb, clock_100Hz : IN STD_LOGIC; pb_debounced : OUT STD_LOGIC); END debounce; ARCHITECTURE a OF debounce IS SIGNAL SHIFT_PB : STD_LOGIC_VECTOR(3 DOWNTO 0); BEGIN -- Debounce Button: Filters out mechanical switch bounce for around 40Ms. -- Debounce clock should be approximately 10ms process begin wait until (clock_100Hz'EVENT) AND (clock_100Hz = '1'); SHIFT_PB(2 Downto 0) <= SHIFT_PB(3 Downto 1); SHIFT_PB(3) <= NOT PB; If SHIFT_PB(3 Downto 0)="0000" THEN PB_DEBOUNCED <= '1'; ELSE PB_DEBOUNCED <= '0'; End if; end process; end a; And here is BCD to 7-segment decoder: library IEEE; use IEEE.STD_LOGIC_1164.ALL; use IEEE.STD_LOGIC_ARITH.ALL; use IEEE.STD_LOGIC_UNSIGNED.ALL; entity decoder7seg is port ( bcd: in std_logic_vector (3 downto 0); segm: out std_logic_vector (6 downto 0)); end decoder7seg; architecture Behavioral of decoder7seg is begin with bcd select segm<= "0000001" when "0000", -- 0 "1001111" when "0001", -- 1 "0010010" when "0010", -- 2 "0000110" when "0011", -- 3 "1001100" when "0100", -- 4 "0100100" when "0101", -- 5 "0100000" when "0110", -- 6 "0001111" when "0111", -- 7 "0000000" when "1000", -- 8 "0000100" when "1001", -- 9 "1111110" when others; -- just - character end Behavioral; Does anyone see where I made my mistake(s) ? I've tried that design on Spartan-3 Started board and it isn't working ... Every time I press the push button, I get crazy (random) values. The reset button is working properly. Thanks !!!!

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