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  • Why doesn't jquery .load() load a text file from an external website?

    - by Edward Tanguay
    In the example below, when I click the button, it says "Load was performed" but no text is shown. I have a clientaccesspolicy.xml in the root directory and am able to asynchronously load the same file from silverlight. So I would think I should be able to access from AJAX as well. What do I have to change so that the text of the file http://www.tanguay.info/knowsite/data.txt is properly displayed in the #content element? <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <script type="text/javascript" src="http://www.google.com/jsapi"></script> <script type="text/javascript"> google.load("jquery", "1.3.2"); google.setOnLoadCallback(function() { $('#loadButton').click(loadDataFromExernalWebsite); }); function loadDataFromExernalWebsite() { $('#content').load('http://www.tanguay.info/knowsite/data.txt', function() { alert('Load was performed.'); }); } </script> </head> <body> <p>Click the button to load content:</p> <p id="content"></p> <input id="loadButton" type="button" value="load content"/> </body> </html>

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  • What is causing the unusual high load average?

    - by James
    I noticed on Tuesday night of last week, the load average went up sharply and it seemed abnormal since the traffic is small. Usually, the numbers usually average around .40 or lower and my server stuff (mysql, php and apache) are optimized. I noticed that the IOWait is unusually high even though the processes is barely using any CPU. top - 01:44:39 up 1 day, 21:13, 1 user, load average: 1.41, 1.09, 0.86 Tasks: 60 total, 1 running, 59 sleeping, 0 stopped, 0 zombie Cpu0 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu1 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu2 : 0.0%us, 0.3%sy, 0.0%ni, 99.7%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu3 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu4 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu5 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu6 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu7 : 0.0%us, 0.0%sy, 0.0%ni, 91.5%id, 8.5%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1048576k total, 331944k used, 716632k free, 0k buffers Swap: 0k total, 0k used, 0k free, 0k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1 root 15 0 2468 1376 1140 S 0 0.1 0:00.92 init 1656 root 15 0 13652 5212 664 S 0 0.5 0:00.00 apache2 9323 root 18 0 13652 5212 664 S 0 0.5 0:00.00 apache2 10079 root 18 0 3972 1248 972 S 0 0.1 0:00.00 su 10080 root 15 0 4612 1956 1448 S 0 0.2 0:00.01 bash 11298 root 15 0 13652 5212 664 S 0 0.5 0:00.00 apache2 11778 chikorit 15 0 2344 1092 884 S 0 0.1 0:00.05 top 15384 root 18 0 17544 13m 1568 S 0 1.3 0:02.28 miniserv.pl 15585 root 15 0 8280 2736 2168 S 0 0.3 0:00.02 sshd 15608 chikorit 15 0 8280 1436 860 S 0 0.1 0:00.02 sshd Here is the VMStat procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu---- r b swpd free buff cache si so bi bo in cs us sy id wa 1 0 0 768644 0 0 0 0 14 23 0 10 1 0 99 0 IOStat - Nothing unusal Total DISK READ: 67.13 K/s | Total DISK WRITE: 0.00 B/s TID PRIO USER DISK READ DISK WRITE SWAPIN IO COMMAND 19496 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19501 be/4 mysql 3.95 K/s 0.00 B/s 0.00 % 0.00 % mysqld 19568 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19569 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19570 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19571 be/4 chikorit 7.90 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19573 be/4 chikorit 7.90 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 1 be/4 root 0.00 B/s 0.00 B/s 0.00 % 0.00 % init 11778 be/4 chikorit 0.00 B/s 0.00 B/s 0.00 % 0.00 % top 19470 be/4 mysql 0.00 B/s 0.00 B/s 0.00 % 0.00 % mysqld Load Average Chart - http://i.stack.imgur.com/kYsD0.png I want to be sure if this is not a MySQL problem before making sure. Also, this is a Ubuntu 10.04 LTS Server on OpenVZ. Edit: This will probably give a good picture on the IO Wait top - 22:12:22 up 17:41, 1 user, load average: 1.10, 1.09, 0.93 Tasks: 33 total, 1 running, 32 sleeping, 0 stopped, 0 zombie Cpu(s): 0.6%us, 0.2%sy, 0.0%ni, 89.0%id, 10.1%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1048576k total, 260708k used, 787868k free, 0k buffers Swap: 0k total, 0k used, 0k free, 0k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1 root 15 0 2468 1376 1140 S 0 0.1 0:00.88 init 5849 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 8063 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 9732 root 16 0 8280 2728 2168 S 0 0.3 0:00.02 sshd 9746 chikorit 18 0 8412 1444 864 S 0 0.1 0:01.10 sshd 9747 chikorit 18 0 4576 1960 1488 S 0 0.2 0:00.24 bash 13706 chikorit 15 0 2344 1088 884 R 0 0.1 0:00.03 top 15745 chikorit 15 0 12968 5108 1280 S 0 0.5 0:00.00 apache2 15751 chikorit 15 0 72184 25m 18m S 0 2.5 0:00.37 php5-fpm 15790 chikorit 18 0 12472 4640 1192 S 0 0.4 0:00.00 apache2 15797 chikorit 15 0 72888 23m 16m S 0 2.3 0:00.06 php5-fpm 16038 root 15 0 67772 2848 592 D 0 0.3 0:00.00 php5-fpm 16309 syslog 18 0 24084 1316 992 S 0 0.1 0:00.07 rsyslogd 16316 root 15 0 5472 908 500 S 0 0.1 0:00.00 sshd 16326 root 15 0 2304 908 712 S 0 0.1 0:00.02 cron 17464 root 15 0 10252 7560 856 D 0 0.7 0:01.88 psad 17466 root 18 0 1684 276 208 S 0 0.0 0:00.31 psadwatchd 17559 root 18 0 11444 2020 732 S 0 0.2 0:00.47 sendmail-mta 17688 root 15 0 10252 5388 1136 S 0 0.5 0:03.81 python 17752 teamspea 19 0 44648 7308 4676 S 0 0.7 1:09.70 ts3server_linux 18098 root 15 0 12336 6380 3032 S 0 0.6 0:00.47 apache2 18099 chikorit 18 0 10368 2536 464 S 0 0.2 0:00.00 apache2 18120 ntp 15 0 4336 1316 984 S 0 0.1 0:00.87 ntpd 18379 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 18387 mysql 15 0 62796 36m 5864 S 0 3.6 1:43.26 mysqld 19584 root 15 0 12336 4028 668 S 0 0.4 0:00.02 apache2 22498 root 16 0 12336 4028 668 S 0 0.4 0:00.00 apache2 24260 root 15 0 67772 3612 1356 S 0 0.3 0:00.22 php5-fpm 27712 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 27730 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 30343 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 30366 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 This is the free ram as of today. total used free shared buffers cached Mem: 1024 302 721 0 0 0 -/+ buffers/cache: 302 721 Swap: 0 0 0 Update: Looking into the logs, particularly the PHP5-FPM, which is causing the CPU spike. I found that its segment faulting for some apparent reason. [03-Jun-2012 06:11:20] NOTICE: [pool www] child 14132 started [03-Jun-2012 06:11:25] WARNING: [pool www] child 13664 exited on signal 11 (SIGSEGV) after 53.686322 seconds from start [03-Jun-2012 06:11:25] NOTICE: [pool www] child 14328 started [03-Jun-2012 06:11:25] WARNING: [pool www] child 14132 exited on signal 11 (SIGSEGV) after 4.708681 seconds from start [03-Jun-2012 06:11:25] NOTICE: [pool www] child 14329 started [03-Jun-2012 06:11:58] WARNING: [pool www] child 14328 exited on signal 11 (SIGSEGV) after 32.981228 seconds from start [03-Jun-2012 06:11:58] NOTICE: [pool www] child 15745 started [03-Jun-2012 06:12:25] WARNING: [pool www] child 15745 exited on signal 11 (SIGSEGV) after 27.442864 seconds from start [03-Jun-2012 06:12:25] NOTICE: [pool www] child 17446 started [03-Jun-2012 06:12:25] WARNING: [pool www] child 14329 exited on signal 11 (SIGSEGV) after 60.411278 seconds from start [03-Jun-2012 06:12:25] NOTICE: [pool www] child 17447 started [03-Jun-2012 06:13:02] WARNING: [pool www] child 17446 exited on signal 11 (SIGSEGV) after 36.746793 seconds from start [03-Jun-2012 06:13:02] NOTICE: [pool www] child 18133 started [03-Jun-2012 06:13:48] WARNING: [pool www] child 17447 exited on signal 11 (SIGSEGV) after 82.710107 seconds from start I'm thinking that this might be causing the problem. If that is the cause, probably switching it off that to fastcgi/fcgid might resolve it... but still, I want to see if something else might be causing it to do this.

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  • I cannot rename files in bulk using ubuntu's rename feature

    - by user254174
    I cannot rename files in bulk using ubuntu's rename feature. The files are on a NTFS partition. I want to rename files that look like this: whatever pic george.jpg tacoma narrows bridge.jpg green bottle.jpg to: filename (1) filename (2) filename (3) And I cannot do this at all. I don't want to use the command line either. So I can permanently erase files after I have encrypted them without exposing their contents to people who use a file recovery tool. I also don't want a method that takes days or months to rename the file. That is, rename one file at a time. So if I have hundreds of files to rename, this won't be a option. I want to give a each file the same name and numbered in order like shown above. Pyrenamer is not an option for me, unless you can find how to do that in PyRenamer.

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  • Magento Bulk Product Import + Modules Nightmare

    - by mike
    Have 5,000 products in CSV file File has been re-saved as UT8 file in google documents and exported to CSV from excel File loads perfectly with all fields in demo of magento store manager (except we dont want to buy it:) When trying to upload in regular Magento..keep getting error messages on column duplicates....yes we have hundreds of duplicates as the titles of products in fields correspond with different sizes, etc...no way around it Any solutions around this or any open source software similar to store manager that can do the trick. Ready to give up and go to paid solution such as Big Commerce Also, Uploaded a bunch of free modules/keys...of open source bulk import products from magentocommerce but I cant find them anywhere in the main admin panel to use...there is no menu item for them anywhere??

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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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  • php-fpm: very high server load

    - by Derp Derpington
    Since today my webserver (nginx + php-fpm + mysql on a VPS) is very slow. htop says: 1 [|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||100.0%] Tasks: 63 total, 13 running 2 [|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||100.0%] Load average: 11.67 10.95 6.95 3 [|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||100.0%] Uptime: 00:18:40 4 [|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||100.0%] 5 [|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||100.0%] 6 [|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||100.0%] Mem[||||||||||| 137/1280MB] Swp[ 0/0MB] PID USER PRI NI VIRT RES SHR S CPU% MEM% TIME+ Command 6802 www 20 0 76232 12320 5716 R 27.0 0.9 0:06.48 php-fpm: pool www 7048 www 20 0 75200 12136 5700 R 52.0 0.9 0:03.64 php-fpm: pool www 6699 www 20 0 74176 11124 5700 R 27.0 0.8 0:07.36 php-fpm: pool www 7029 www 20 0 73668 10380 5676 R 42.0 0.8 0:03.52 php-fpm: pool www 6995 www 20 0 76228 12456 5644 R 42.0 1.0 0:03.98 php-fpm: pool www 6858 www 20 0 74172 10684 5620 R 35.0 0.8 0:05.52 php-fpm: pool www 6998 www 20 0 75200 12072 5620 R 37.0 0.9 0:03.95 php-fpm: pool www 7098 www 20 0 75200 12052 5616 R 42.0 0.9 0:02.33 php-fpm: pool www 7093 www 20 0 76228 12496 5612 R 37.0 1.0 0:03.02 php-fpm: pool www 7226 www 20 0 74692 11080 5588 R 32.0 0.8 0:00.66 php-fpm: pool www CPU: (cat /proc/cpuinfo | grep model) model : 44 model name : Intel(R) Xeon(R) CPU E5620 @ 2.40GHz model : 44 model name : Intel(R) Xeon(R) CPU E5620 @ 2.40GHz model : 44 model name : Intel(R) Xeon(R) CPU E5620 @ 2.40GHz model : 44 model name : Intel(R) Xeon(R) CPU E5620 @ 2.40GHz model : 44 model name : Intel(R) Xeon(R) CPU E5620 @ 2.40GHz model : 44 model name : Intel(R) Xeon(R) CPU E5620 @ 2.40GHz I think a load of 10 and 100% cpu usage is not normal... How can i fix that?

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  • Ubuntu Pound Reverse Proxy Load Balancing Based off active server load?

    - by Andrew
    I have Pound installed on a loadbalancer. It seems to work okay, except that it randomly assigns the backend server to forward the request to. I've put 1 backend machine under so much load that it went into using swap, and I can't even ssh into it to test this scenareo. I would like the loadbalancer to realize that the machine is overloaded, and send it to a different backend machine. However it doesn't. I've read the man page and it seems like the directive "DynScale 1" is what would monitor this, but it still redirects to the overloaded server. I've also put in "HAport 22" to the backend figuring since I can't ssh in, neither could the loadbalancer and it would consider the backend server dead until it gets rid of the load and responds, but that didn't help either. If anyone could help with this, I'd appreciate it. My current config is below. ###################################################################### ## global options: User "www-data" Group "www-data" #RootJail "/chroot/pound" ## Logging: (goes to syslog by default) ## 0 no logging ## 1 normal ## 2 extended ## 3 Apache-style (common log format) LogLevel 3 ## check backend every X secs: Alive 5 DynScale 1 Client 1200 TimeOut 1500 # poundctl control socket Control "/var/run/pound/poundctl.socket" ###################################################################### ## listen, redirect and ... to: ## redirect all requests on port 80 to SSL ListenHTTP Address 192.168.1.XX Port 80 Service Redirect "https://xxx.com/" End End ListenHTTPS Address 192.168.1.XX Port 443 Cert "/files/www.xxx.com.pem" Service BackEnd Address 192.168.1.1 Port 80 HAport 22 End BackEnd Address 192.168.1.2 Port 80 HAport 22 End End End

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  • How do I choose the number of connection for load balancer?

    - by user105196
    I want to add hardware load balancer for apache and I want to know how many people are connected to my server to to choose the type of load balancer: Local Load Balancing with SSL - 250 Connections Local Load Balancing with SSL - 500 Connections Local Load Balancing with SSL - 1000 Connections I run the following commands in the same time: netstat -nt|grep -c :443 ( all connection wait and ESTABLISHED) result : 1208 netstat -ant | grep 443 | grep EST | wc -l ( just ESTABLISHED connection) result :106 My question: Whichever is the correct value to choose the load balancer all connection or just ESTABLISHED ?

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  • Apache, Tomcat and mod_jk for load balancing

    - by pHk
    Hi guys. I've set-up a basic Apache (2.2.x) and Tomcat (6.0.x) set-up using mod_jk for load balancing using the worker.properties file. Preliminary testing seems to show that this works relatively well, and it was quite easy to set-up. However; the fact that it was so easy to set-up has got me a little worried. We're dealing with 100 - 300 concurrent users using the same web application (deployed on 2 or 3 Tomcat instances). I have done a little Googling and looking around on here and there seems to be more than 1 way to accomplish this (one example on here used a balancer:// style URL, which I've never seen before in an Apache config). For example, one question I ask myself is how reliable the load detection on mod_jk really is (Busyness, Session, Request, etc). In your experience, does this set-up prove to be reliable in real world scenarios? Any pointers on improvements, pit falls or interesting literature/articles? I've worked with Apache before, but am in no way an expert. Thanks in advance.

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  • 100% CPU load on Ubuntu 10.04.3 LTS 64bit

    - by deadtired
    I have 2 days since I am trying to fix this issue, with no success. The server is a mysql database server. Hardware: DELL Poweredge 1950, 2x Intel Xeon Quad Core E5345 @ 2.33GHz, 16 Gb mem, 2x 146Gb SAS (software RAID1) Software: Ubuntu 10.04.3 LTS, MySQL 5.1.41 Issue: while mysql is not used and runs with no database, everything seems alright. As soon as I install a database, it has the reason to bring all 8 cores in 100% with low memory consumption. So, you can imagine the load average goes high (I saw 212 load average for the first time). The server doesn't become unresponsive, but you can see it's slow while browsing the project installed. Additional info: the database used is not more than 24MB and it was moved from a server with less resources and a lot more larger databases. So it's not the database/project. my.cnf is not a reason also, as I used both default one and the one I use on the same distribution on another server.What is interesting is that mysql doesn't close any process and runs to the limit of the max_connections. Logs are quiet. Nothing there. I switched to this Ubuntu version after I suspected some problems in the newly Ubuntu 11.10 server. This one worked alright for an hour after I made a kernel upgrade to 3.0.1 (it was using the memory also) I tested disk speed and seems alright. Some more output on the running server: dstat -cndymlp -N total -D total 3: htop command: Idea? Did anyone meet the same problem? Any fix you can think of?

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  • Nginx load balancing and maintaining URLs

    - by Steve Klabnik
    I'm trying to use nginx as a load balancer, and it's working great. One problem, though. The load balancing box is at 123.123.123.123, and the backend box is 456.456.456.456. So I have this config: upstream backend { server 456.456.456.456; } server { listen 80; server_name 123.123.123.123; access_log off; error_log off; location / { proxy_set_header Host $host; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_pass http://backend; } } This works great. I hit 123.123.123.123 in my browser, and the page comes up. But now the URL in the browser says http://456.456.456.456. Do I need to use a rewrite rule or something to keep the url correct? I don't want it to be different when going to different backed servers. None of the tutorials I've read have mentioned anything about this.

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  • jQyery bind on ajax load() event

    - by Andrei C
    Hi guys. I have a page which display multiple blocks with results details. Inside each block I have some tags with thichbox jQuery plugin attached( class="thichbox"). http://jquery.com/demo/thickbox/ here is an example of one kind of ampersant tag: <a class="thickbox" title="Please Sign In" href="userloginredir.php?height=220&width=350&deal=3"> Problem comes when I added a jQuery pagination to the page because of to many results displaying on the page. The div component with the results inside is updated through ajax load() event. Below is the pagination script. $(document).ready(function(){ //References var pages = $("#menu_deals li"); var loading = $("#loading_deals"); var content = $("#content_deals"); //show loading bar function showLoading(){ loading .css({visibility:"visible"}) .css({opacity:"1"}) .css({display:"block"}) ; } //hide loading bar function hideLoading(){ loading.fadeTo(1000, 0); }; //Manage click events pages.live('click',function(){ //show the loading bar showLoading(); //Highlight current page number pages.css({'background-color' : ''}); $(this).css({'background-color' : 'yellow'}); //Load content var pageNum = this.id; var targetUrl = "ajax_search_results.php?page=" + pageNum + "&" + $("#dealsForm").serialize() + " #content_d"; content.load(targetUrl, hideLoading); }); //default - 1st page $("#1").css({'background-color' : 'yellow'}); var targetUrl = "ajax_search_results.php?page=1&" + $("#dealsForm").serialize() + " #content_d"; showLoading(); content.load(targetUrl, hideLoading); }); When I added pagination(code above), the thickbox events are not recognized anymore and instead of poping out a window with the login form inside it opens the results in new page (is acting like clicking on a normal link) From my jQuery knowledge this means that the components are not defined in the DOM because the content is updated after document ready triggered. I'm trying to bind the load event with something like this: content.bind('load',???); But I don't know how to pass the load params, targetUrl and the callback function hideLoading, when binding the load event. Please help me out in this matter, already took me more time than possible allowed. Thank you!

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  • jQuery flicker using .load

    - by Dave Macaulay
    Hey guys, I'm using jQuery to dynamically load php pages into my page using the .load() function, so far this has been successful but if you click on various links to update the div with the .load() it starts to flicker between the new clicked page and the old one, this is pretty annoying and has anyone got a fix? Current code: $(document).ready(function(){ $('a').click(function() { $('#content').load($(this).attr("href")); return false; }); });

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  • Enable load movie button event on other flash movie

    - by Nasir
    In my flash movie I load another flash movie with button on it. The problem is when I trigger the button the event on the load flash not function. When I check the button it trigger event trough root function on the parent clip. How I can enable the button event on the load movie when I load it on my flash movie?

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  • Optimizing perceived load time for social sharing widgets on a page?

    - by Lucka
    I have placed the facebook "like" and some other social bookmarking websites link on my blog, such as Google Buzz, Digg, Twitter, etc. I just noticed that it takes a while to load my blog page as it need to load the data from the social networking sites (such as number of likes etc). How can I place the links efficiently so that first my blog content loads, and meanwhile it loads data from these websites -- in other words, these sharing widgets should not hang my blog page while waiting for data from external sites?

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  • hex value in field/row terminator for bulk insert

    - by TheObserver
    I'm running SQL Server 2005 Express. And I'm trying to do a bulk insert/import of a data file with a field/row terminator that uses a hexadecimal value 0x001. How should I represent it in a bulk insert command? I have something like: bulk insert xxx.dbo.[yyy] from 'D:\zzz\zzz.dat' with ( CODEPAGE='RAW', FIELDTERMINATOR = '=|=', ROWTERMINATOR = '=|=\001\n', KEEPNULLS ); which results in Msg 4863, Level 16, State 1, Line 7 Bulk load data conversion error (truncation) for row 1, column 3 (code).

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  • How is load average related to CPU utilization?

    - by Kaustubh P
    I am facing a load average of 3 since past 2 days. The CPU utilization is never above 40 % in all cases. Here are some screenshots of Server Density monitoring tool that I use. The process snapshot at the highest peak, @ 0:00 is as follows: And the process snapshot at the peak created at 12:00 is: My question is, even though CPU utilization is not 100 %, why am I facing a high average? PS: All snapshots are sorted by descending CPU utilization.

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  • Widely-used load balancing solutions?

    - by Vimvq1987
    I asked this question http://serverfault.com/questions/124329/network-load-balancing-efficience-and-limits, and a bit disappointed that NLB was not a widely-used solution. I want to ask about widely-used solutions in the world now. Can you give me a list and a brief introduction for each? Cause of limitation of my thesis resource, I need to focus on software-only, Windows-based solution (both database level and system level are welcome). Thank you so much!

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  • load balancing in Tomcat

    - by Alvin
    Hi All, I want to implement the load balancing in tomcat 6.0 so that we can create more than one instance of a tomcat and when any of the instance is down then other instance will run our application. so that our application will never be down even when the large number of concurrent request comes. But i have no idea to implement it. Please give your precious suggestions.

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  • Tomcat Clustering and Load Balancing ?

    - by Rodrigo Asensio
    I have 3 tomcat servers where users get into all time. They are 3 because the processing of each request is heavy (lot of sql). Users enters to server 1 or 2 or 3. Now I want to make them "one". I know I need do clustering but, will clustering spread the requests thru the 3 servers or here is where I need implement load balancing with apache2 ?

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  • CPU, Memory, Network, IO resources are under utilized when I tried various JMeter load testing

    - by Jaiganesh
    CPU, Memory, Network, IO resources are under utilized when I tried various JMeter load testing. I have given below the details. Hardware: 1 Core with 2 GB RAM OS: Ubuntu 12.04 LTS Server Edition Application: PHP (using JQuery, Ajax) JMeter Parameters: 10, 20, 30, 40 Hits per minute 220 Test Cases per hit 2.03 MB per hit I am not clear, why these resources are under utilized. Please help me to resolve this.

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  • Load and performance testing for webapps with JavaScript support

    - by MrG
    Years ago I used OpenSTA to perform load and performance tests. Unfortunately it doesn't support JavaScript, which is a requirement this time. But I remember that it offered great recording possibilities which enabled us to quickly create new test scripts. Please let me which tools you recommend. Free tools are clearly preferred ;)

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  • kerio load balance

    - by Azzam
    I use kerio winroute 6.5 , for week ago, i got a second adsl link (2 mbps), i tried to configue the load balancing in kerio , but always , kerio directs the traffic to one route without the other , i enabled NAT for firewall and change the rate between 2 links but always kerio takes the system route to one link , is there a solution for that ?

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  • 4.5 Load average on single CPU

    - by Webnet
    I'm currently looking at... top - 16:27:37 up 27 min, 1 user, load average: 4.96, 3.75, 2.87 Tasks: 141 total, 6 running, 135 sleeping, 0 stopped, 0 zombie Cpu(s): 91.4%us, 6.9%sy, 0.0%ni, 0.0%id, 0.0%wa, 0.3%hi, 1.3%si, 0.0%st Mem: 514952k total, 507500k used, 7452k free, 5652k buffers Swap: 1044184k total, 281400k used, 762784k free, 89164k cached This is a single 2.0 Ghz CPU with 2 GB RAM Is it time for an upgrade? I'm watching and it seems to stick around 50% CPU "us" which I assume means usage.

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  • trace server load? how to

    - by Clear.Cache
    My server (Centos 4.8) keeps shooting up in load. Its a shared hosting server with Cpanel/WHM. How can I trace the process/user causing this ongoing problem? I use top, but it shows nothing that stands out for a particular script from a particular user. I have suPHP enabled with PHP 5.3x and MySQL 5 as well.

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