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  • Ruby using the Gosu framework: why it runs slow first time?

    - by Omega
    I'm creating a Ruby game using the Gosu framework. All good. Sometimes, when I run the game, it has some kind of slow startup, and probably it will be rather slow during the whole game. So I close it and... open it again. It is very likely that it will startup quickly and the whole game will run smoothly and fast. Why is that? What is this phenomenon? Is it faster because of some cache stored or whatever since the first run? (But why would cache be stored? If the app dies, I would expect no references at all etc...) Ruby, Windows 7.

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  • Updated sp_indexinfo

    - by TiborKaraszi
    It was time to give sp_indexinfo some love. The procedure is meant to be the "ultimate" index information procedure, providing lots of information about all indexes in a database or all indexes for a certain table. Here is what I did in this update: Changed the second query that retrieves missing index information so it generates the index name (based on schema name, table name and column named - limited to 128 characters). Re-arranged and shortened column names to make output more compact and more...(read more)

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  • SQL Live Monitor

    - by TiborKaraszi
    I just found this one out there and wanted to share it. It connects to an instance and show you a bunch of figures. Nothing you can't extract yourself with SQL queries, but sometimes it is just nice to have one tool which is very easy to use. Here's what it looks like when connecting to an instance with no load on it: As you can see, there are some hyperlinked pages as well, and there are also some interesting options (like logging to CSV or for PAL analysis) under the "Option" button. One more thing...(read more)

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  • Desktop runs very slick, animations are all fast and flawless. Moving windows around, however, is very laggy. Why?

    - by Muu
    This isn't a question about Ubuntu being laggy in general - not at all, in fact, it's very slick and fast for me. Clicking the "Workspace Switcher" in the dock performs the animation immediately and very smoothly. Switching between workspaces with the arrow keys - again, flawlessly. My computer has a resolution of 2560x1440 on a 27" display (no, not an Apple product - though my monitor has the same panel that Apple use in their cinema displays). It's powered by an Nvidia GeForce GTX 470 - easily enough to handle it - and an Intel i3. Hardware is not the issue. I am running Ubuntu 11.10 (upgraded from 11.04). I had the same issue in 11.04. I'm running the "NVIDIA accelerated graphics driver (post-release updates) (version current-updates)" from the additional drivers dialogue. Two drivers have been suggested to me via that dialogue and I've tried both - same effect with each. The driver is "activated and currently in use". Any other information required, let me know and I'll post it. I'm a programmer who works with Linux daily (both as a job and as an interest) so technical instructions are fine. I've noticed that Compiz uses a lot of CPU when moving windows around and it's memory usage is relatively high (though possibly expected for Compiz): 1671 user 20 0 478m 286m 33m S 1 7.3 12:44.05 compiz And one more thing - occasionally moving windows around is fast. But it only happens when all applications are closed, and even then it sometimes doesn't. Something must be interfering, but what? I'll try and find out but in the meantime, any suggestions are much appreciated :-)

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  • Static vs. dynamic memory allocation - lots of constant objects, only small part of them used at runtime

    - by k29
    Here are two options: Option 1: enum QuizCategory { CATEGORY_1(new MyCollection<Question>() .add(Question.QUESTION_A) .add(Question.QUESTION_B) .add...), CATEGORY_2(new MyCollection<Question>() .add(Question.QUESTION_B) .add(Question.QUESTION_C) .add...), ... ; public MyCollection<Question> collection; private QuizCategory(MyCollection<Question> collection) { this.collection = collection; } public Question getRandom() { return collection.getRandomQuestion(); } } Option 2: enum QuizCategory2 { CATEGORY_1 { @Override protected MyCollection<Question> populateWithQuestions() { return new MyCollection<Question>() .add(Question.QUESTION_A) .add(Question.QUESTION_B) .add...; } }, CATEGORY_2 { @Override protected MyCollection<Question> populateWithQuestions() { return new MyCollection<Question>() .add(Question.QUESTION_B) .add(Question.QUESTION_C) .add...; } }; public Question getRandom() { MyCollection<Question> collection = populateWithQuestions(); return collection.getRandomQuestion(); } protected abstract MyCollection<Question> populateWithQuestions(); } There will be around 1000 categories, each containing 10 - 300 questions (100 on average). At runtime typically only 10 categories and 30 questions will be used. Each question is itself an enum constant (with its fields and methods). I'm trying to decide between those two options in the mobile application context. I haven't done any measurements since I have yet to write the questions and would like to gather more information before committing to one or another option. As far as I understand: (a) Option 1 will perform better since there will be no need to populate the collection and then garbage-collect the questions; (b) Option 1 will require extra memory: 1000 categories x 100 questions x 4 bytes for each reference = 400 Kb, which is not significant. So I'm leaning to Option 1, but just wondered if I'm correct in my assumptions and not missing something important? Perhaps someone has faced a similar dilemma? Or perhaps it doesn't actually matter that much?

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  • Ubuntu 12.10 is slow and some programs gose to non-respond state

    - by user99631
    Ubuntu 12.10 is so slow and a lot of not responding applications I was using Skype whenever i open it it will go to non-responding state thin back to normal after a while even the software centre the system process is eating the CPU I don’t know if the compiz is the problem but issuing the command compiz --replace restore the applications from non-responding state CPU : Intel Celeron D 3.4 RAM : 1 GB VGA : Intel G45 Plz help

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  • Why using Fragments?

    - by ahmed_khan_89
    I have read the documentation and some other questions' threads about this topic and I don't really feel convinced; I don't see clearly the limits of use of this technique. Fragments are now seen as a Best Practice; every Activity should be basically a support for one or more Fragments and not call a layout directly. Fragments are created in order to: allow the Activity to use many fragments, to change between them, to reuse these units... == the Fragment is totally dependent to the Context of an activity , so if I need something generic that I can reuse and handle in many Activities, I can create my own custom layouts or Views ... I will not care about this additional Complexity Developing Layer that fragments would add. a better handling to different resolution == OK for tablets/phones in case of long process that we can show two (or more) fragments in the same Activity in Tablets, and one by one in phones. But why would I use fragments always ? handling callbacks to navigate between Fragments (i.e: if the user is Logged-in I show a fragment else I show another fragment). === Just try to see how many bugs facebook SDK Log-in have because of this, to understand that it is really (?) ... considering that an Android Application is based on Activities... Adding another life cycles in the Activity would be better to design an Application... I mean the modules, the scenarios, the data management and the connectivity would be better designed, in that way. === This is an answer of someone who's used to see the Android SDK and Android Framework with a Fragments vision. I don't think it's wrong, but I am not sure it will give good results... And it is really abstract... ==== Why would I complicate my life, coding more, in using them always? else, why is it a best practice if it's just a tool for some cases? what are these cases?

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  • Does low latency code sometimes have to be "ugly"?

    - by user997112
    (This is mainly aimed at those who have specific knowledge of low latency systems, to avoid people just answering with unsubstantiated opinions). Do you feel there is a trade-off between writing "nice" object orientated code and writing very fast low latency code? For instance, avoiding virtual functions in C++/the overhead of polymorphism etc- re-writing code which looks nasty, but is very fast etc? It stands to reason- who cares if it looks ugly (so long as its maintainable)- if you need speed, you need speed? I would be interested to hear from people who have worked in such areas.

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  • Alternative or succesor to GDBM

    - by Anon Guy
    We a have a GDBM key-value database as the backend to a load-balanced web-facing application that is in implemented in C++. The data served by the application has grown very large, so our admins have moved the GDBM files from "local" storage (on the webservers, or very close by) to a large, shared, remote, NFS-mounted filesystem. This has affected performance. Our performance tests (in a test environment) show page load times jumping from hundreds of milliseconds (for local disk) to several seconds (over NFS, local network), and sometimes getting as high as 30 seconds. I believe a large part of the problem is that the application makes lots of random reads from the GDBM files, and that these are slow over NFS, and this will be even worse in production (where the front-end and back-end have even more network hardware between them) and as our database gets even bigger. While this is not a critical application, I would like to improve performance, and have some resources available, including the application developer time and Unix admins. My main constraint is time only have the resources for a few weeks. As I see it, my options are: Improve NFS performance by tuning parameters. My instinct is we wont get much out of this, but I have been wrong before, and I don't really know very much about NFS tuning. Move to a different key-value database, such as memcachedb or Tokyo Cabinet. Replace NFS with some other protocol (iSCSI has been mentioned, but i am not familiar with it). How should I approach this problem?

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  • Huge performance difference between two web servers, odd behavior seen using process monitor

    - by Francis Gagnon
    We have two Coldfusion servers that have a huge performance difference running the exact same code on the exact same input data. The code in questions instantiates a large amount of CFCs (Coldfusion Components, which are similar to objects in OOP languages). I compared the two servers by running Process Monitor and then calling the problematic code on both machines. I learned two things. First, Coldfusion opens CFC files every time it instantiates an object. Both servers do this, so it cannot be the cause of the performance difference. Second, the fast server opens the CFC files directly while the server with the performance problem seems to navigate its way through the path until it reaches the desired CFC file. It does this for every file, even the ones it has previously loaded, and because the code instantiates so many CFCs it becomes very slow. See below the partial Promon traces that show this behavior. It can take over 60 seconds for the slow server to do what the fast one does in 2 seconds. Can anyone tell me what causes this behavior? Is it a Coldfusion setting? Since Coldfusion runs on top of Java, is it a Java setting? Is it an OS option? The fast server is running Windows XP and I think the slow server is a Windows Server 2003. Bonus question: Coldfusion doesn't seem to perform any READ FILE operations on any of the CFC or CFM files. How can this be? Sample of the fast server opening CFC files: 11:25:14.5588975 jrun.exe QueryOpen C:\CF\wwwroot\APP\com\HtmlUtils.cfc 11:25:14.5592758 jrun.exe CreateFile C:\CF\wwwroot\APP\com\HtmlUtils.cfc 11:25:14.5595024 jrun.exe QueryBasicInformationFile C:\CF\wwwroot\APP\com\HtmlUtils.cfc 11:25:14.5595940 jrun.exe CloseFile C:\CF\wwwroot\APP\com\HtmlUtils.cfc 11:25:14.5599628 jrun.exe CreateFile C:\CF\wwwroot\APP\com\HtmlUtils.cfc 11:25:14.5601600 jrun.exe QueryBasicInformationFile C:\CF\wwwroot\APP\com\HtmlUtils.cfc 11:25:14.5602463 jrun.exe CloseFile C:\CF\wwwroot\APP\com\HtmlUtils.cfc Equivalent sample of the slow server opening CFC files: 11:15:08.1249230 jrun.exe CreateFile D:\ 11:15:08.1250100 jrun.exe QueryDirectory D:\org 11:15:08.1252852 jrun.exe CloseFile D:\ 11:15:08.1259670 jrun.exe CreateFile D:\org 11:15:08.1260319 jrun.exe QueryDirectory D:\org\cli 11:15:08.1260769 jrun.exe CloseFile D:\org 11:15:08.1269451 jrun.exe CreateFile D:\org\cli 11:15:08.1270613 jrun.exe QueryDirectory D:\org\cli\cpn 11:15:08.1271140 jrun.exe CloseFile D:\org\cli 11:15:08.1279312 jrun.exe CreateFile D:\org\cli\cpn 11:15:08.1280086 jrun.exe QueryDirectory D:\org\cli\cpn\APP 11:15:08.1280789 jrun.exe CloseFile D:\org\cli\cpn 11:15:08.1291034 jrun.exe CreateFile D:\org\cli\cpn\APP 11:15:08.1291709 jrun.exe QueryDirectory D:\org\cli\cpn\APP\com 11:15:08.1292224 jrun.exe CloseFile D:\org\cli\cpn\APP 11:15:08.1300568 jrun.exe CreateFile D:\org\cli\cpn\APP\com 11:15:08.1301321 jrun.exe QueryDirectory D:\org\cli\cpn\APP\com\HtmlUtils.cfc 11:15:08.1301843 jrun.exe CloseFile D:\org\cli\cpn\APP\com 11:15:08.1312049 jrun.exe CreateFile D:\org\cli\cpn\APP\com\HtmlUtils.cfc 11:15:08.1314409 jrun.exe QueryBasicInformationFile D:\org\cli\cpn\APP\com\HtmlUtils.cfc 11:15:08.1314633 jrun.exe CloseFile D:\org\cli\cpn\APP\com\HtmlUtils.cfc 11:15:08.1315881 jrun.exe CreateFile D:\ 11:15:08.1316379 jrun.exe QueryDirectory D:\org 11:15:08.1316926 jrun.exe CloseFile D:\ 11:15:08.1330951 jrun.exe CreateFile D:\org 11:15:08.1338656 jrun.exe QueryDirectory D:\org\cli 11:15:08.1339118 jrun.exe CloseFile D:\org 11:15:08.1526468 jrun.exe CreateFile D:\org\cli 11:15:08.1527295 jrun.exe QueryDirectory D:\org\cli\cpn 11:15:08.1527989 jrun.exe CloseFile D:\org\cli 11:15:08.1531977 jrun.exe CreateFile D:\org\cli\cpn 11:15:08.1532589 jrun.exe QueryDirectory D:\org\cli\cpn\APP 11:15:08.1533575 jrun.exe CloseFile D:\org\cli\cpn 11:15:08.1538457 jrun.exe CreateFile D:\org\cli\cpn\APP 11:15:08.1539083 jrun.exe QueryDirectory D:\org\cli\cpn\APP\com 11:15:08.1539553 jrun.exe CloseFile D:\org\cli\cpn\APP 11:15:08.1544126 jrun.exe CreateFile D:\org\cli\cpn\APP\com 11:15:08.1544980 jrun.exe QueryDirectory D:\org\cli\cpn\APP\com\HtmlUtils.cfc 11:15:08.1545482 jrun.exe CloseFile D:\org\cli\cpn\APP\com 11:15:08.1551034 jrun.exe CreateFile D:\org\cli\cpn\APP\com\HtmlUtils.cfc 11:15:08.1552878 jrun.exe QueryBasicInformationFile D:\org\cli\cpn\APP\com\HtmlUtils.cfc 11:15:08.1553044 jrun.exe CloseFile D:\org\cli\cpn\APP\com\HtmlUtils.cfc Thanks

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  • Expected IOPS for log writing on PS6000X SAN?

    - by dssz
    Customer is experiencing poor Sybase ASE 15 performance on a PS6000X SAN with 16 X 450GB 10K in RAID-50. The server is a Dell R710 running 2003 server R2 64bit in ESX 4.0.0,256968 I've used sqlio to benchmark the sequential write performance of 4KB blocks on the drive. sqlio -kW -t1 -s600 -dE -o1 -fsequential -b4 -BH -LS sqliotestfile.dat Result is 1900 IOPS. However, when Sybase is running a sustained workload of small inserts SAN HQ shows a consistent 590 IOPS (and 100% 4K write activity). It also shows that the write latency increases to 1.2ms from <1ms. Monitoring and tests in Sybase demonstrate the performance problem is IO related and in particular there is a lot of wait time writing to the log. The SAN indicates that write caching is enabled. What IOPS should the SAN be capable of for 4k sequential write activity? Also, with write caching enabled, shouldn't the controller be batching up the 4K writes into something more efficient? Also, any tips on Sybase on ESX would be appreciated.

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  • ESX 4.0 space: DASD, NAS, or ?

    - by thormj
    I put together an ESX box for better management, but its performance is a WTF item; I'm a noob at dealing with ESX, so I'm looking for a laundry-list of reading material to help me straighten this out so I can go back to .NET programming. Current storage system: We're running Raid5+Hotspare (8x500 GB spindles) on a PERC6i on a Dell 2910. Due to ESX limitatios, the PERC is showing the storage as 1x2TB + 1x800GB "partitions." I'm not sure of the setup's configuration (stride / stripe / ???) at all. Our Applications We have a SBS server as well as a minor (2x50 GB, but growing at 10GB/month) database server... Our application that lives on the database VM is CPU and I/O insense; it's a database churning excercise mixed in with a lot of computation on the data (fixing that performance is what I'm supposed to be working on)... Perfomance Issue When I do a backup, restore, or worse (copy a backup from 1 vm to another to move it to the QA VM), the entire system slows to a crawl (even "unrelated" VMs). I originally thought a DASD situation would be quite good since you had PCI-x bandwidth, but the systemwide slowdown is killing productivity. Questions What should I do to make an intelligent decision about NAS vs RAID vs SAN vs DASD? Are there sweet spots/ugly spots in the storage setup? Can you use a SSD PCI-X card in ESX for the tempdb? Good/Bad idea? Is there any way to "share" some image in a copy-on-write fashion? Most of the "Backup-Copy-Restore" is to "put a clean image on the dev boxes"; if I could have them "share" the master image, the "big copy" (2x50 GB) would only need to be done once per week instead of once per dev per week...[runtime performance isn't a concern with the dev boxes, but the backup/copy/restore kills production, SBS, and everything else on the box]

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  • Building a PC, advice on SSD/Hybrid Hard Drives

    - by Jamie Hartnoll
    I am looking at building a new PC, it's mainly for office (graphics heavy) use and programming. Looking for good performance with opening and closing programs and files as well as a fast boot. I plan to have 3 primary hard drives Windows 7 Programs (photoshop etc) Current Files (There'll also be a large storage capacity back up drive, but this will be the Seagate drive I already have.) So, my question is, looking at standard "old fashioned" hard drives and SSD drives, obviously there's a massive price difference. I have been looking at drives like this: http://www.ebuyer.com/268693-corsair-120gb-force-3-ssd-cssd-f120gb3-bk-cssd-f120gb3-bk and this: http://www.ebuyer.com/321969-momentus-xt-750gb-sata-2-5in-7200rpm-hybrid-8gb-ssd-in-st750lx003 Having no experience of using either I don't know what's the most efficient thing to go for. Clearly the SSD will have better performance, but: If, for example, I had an SSD for Windows (say about 100gB), that would clearly give me the boot speed I want, then I guess my real questions are: If I were to buy one more SSD, would it give the greatest improvement on standard performance if used to store programs, or currently used files? Given that the OS is on an SSD, should I not bother with the 3 drives and instead, partition that Hybrid drive to store programs and currently used files on it? Obviously, option two is cheaper and option one could cause me storage issues, but that's when I can dump files I am not currently using onto another drive. Any, I am open to suggestions... so what do you suggest?!

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  • Would an array of SSD drives be able to succesfully substitute the system memory?

    - by Florin Mircea
    I watched a few videos trying to answer this. This video (youtube.com/watch?v=eULFf6F5Ri8) shows a bunch of guys stacking 24 SSD's reaching a peak of around 2GBps r/w. That's under the limit of the worst DDR3 in this list (memorybenchmark.net/write_ddr3_amd.html) - that shows DDR3 memory performance varying from 2.78 to 6.55 Gb per second, but that video is over 3 years old. This video (youtube.com/watch?v=27GmBzQWwP0) shows a more optimistic situation, but for PCI-E SSD drives: 5 drives peaking at around 4Gb. And this other video shows that stacking up more than 3 SSD's doesn't realistically offer a substantial added performance. This and the fact that in all benchmarks the drives act quite poorly when dealing with small files (5k file read/write averaging from 10MB to around 30-40MBps) as opposed to how native memory handles such files, seems to indicate a definite NO to this question. Also, the write life cycle is indeed limited and the drives might wear out quickly, as kindly pointed out by paddy. However, I wanted to get more opinions on this. Would it be possible to at least obtain current memory performance with SSD's in RAID 0? And if so, in what circumstances? I am assuming using this configuration with a Windows OS that has a memory pagefile resident to that stack of SSD's, thus making it very fast to work with.

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  • SSL Slow in IE 8.0.7600.16385IC

    - by discovery.jerrya
    I'm having a performance problem on my company's web site using a specific version of IE 8 to load a page using https. Here's what I know. Server: Virtual machine running on VMWare ESX Windows Server 2003 Enterprise Edition SP 2 Tomcat 6.0.16 Client: Windows XP and Window 7 Internet Explorer 8.0.7600.16385IC Page loads/refreshes in under 1 second using HTTP. Page loads/refreshes in 15-16 seconds in HTTPS using this version of IE. Problem reproduced on multiple client machines with same IE version. Problem reproduced on multiple client machines with different Windows versions (XP and 7). No performance problem using Chrome, Firefox, Opera, or Safari from same machine. No performance problem using other versions of IE 8 on other machines. Slow load causes virtually no CPU, memory, or I/O spike on server or client machine. No performance problem on other sites using HTTPS on same client machine. The pages in question use JavaScript and innerHTML to replace the contents of div elements to create a collapsible menu, and an iframe to display some content. A couple of the div elements contain images. If I remove the iframe and the JavaScript, the performance issues go away. However, rewriting the entire site to make these changes would be very time consuming. We're in the process of replacing the whole site, but it may be 2-3 months before we do so and we really cannot live with this slowdown that long. I've already looked at several IE tuning options, such as disabling add ons, running IE-rereg, and resetting IE, with no luck. Does anyone have any suggestions?

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  • nVidia performance with newer X and newer driver abysmal with Compiz

    - by Nakedible
    I recently upgraded Debian to Xorg 2.9.4 and installed nvidia-glx from experimental, version 260.19.21. This was somewhat of an uphill battle as the dependencies for the experimental nvidia-glx package are still somewhat broken. I got it to work without forcing the installation of any packages and without modifying the packages. However, after the upgrade compiz performance has been abysmal. I am using the desktop wall plugin and switching viewports is really slow - takes a few seconds for each switch. In addition to this, every effect that compiz does, such as zoom animations for icons when launching applications, takes seconds. The viewport switching speed changes relative to the amount of windows on that virtual screen - empty screens switch almost at normal speed, single browser windows work almost decently, but just 4 rxvt terminals slows the switches down to a crawl. My compiz configuration should be pretty basic. Xorg is likewise configured without anything special - the only "custom" configuration is forcing the driver name to be "nvidia". I've fiddled around with the nvidia-settings and compizconfig trying different VSync settings, but none of those helped. My graphics card is: NVIDIA GPU NVS 3100M (GT218) at PCI:1:0:0 (GPU-0). This is laptop GPU that is from the Geforce GTX 200 series. Graphics card performance should naturally be no problem.

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  • Will disabling hyperthreading improve performance on our SQL Server install

    - by Sam Saffron
    Related to: Current wisdom on SQL Server and Hyperthreading Recently we upgraded our Windows 2008 R2 database server from an X5470 to a X5560. The theory is both CPUs have very similar performance, if anything the X5560 is slightly faster. However, SQL Server 2008 R2 performance has been pretty bad over the last day or so and CPU usage has been pretty high. Page life expectancy is massive, we are getting almost 100% cache hit for the pages, so memory is not a problem. When I ran: SELECT * FROM sys.dm_os_wait_stats order by signal_wait_time_ms desc I got: wait_type waiting_tasks_count wait_time_ms max_wait_time_ms signal_wait_time_ms ------------------------------------------------------------ -------------------- -------------------- -------------------- -------------------- XE_TIMER_EVENT 115166 2799125790 30165 2799125065 REQUEST_FOR_DEADLOCK_SEARCH 559393 2799053973 5180 2799053973 SOS_SCHEDULER_YIELD 152289883 189948844 960 189756877 CXPACKET 234638389 2383701040 141334 118796827 SLEEP_TASK 170743505 1525669557 1406 76485386 LATCH_EX 97301008 810738519 1107 55093884 LOGMGR_QUEUE 16525384 2798527632 20751319 4083713 WRITELOG 16850119 18328365 1193 2367880 PAGELATCH_EX 13254618 8524515 11263 1670113 ASYNC_NETWORK_IO 23954146 6981220 7110 1475699 (10 row(s) affected) I also ran -- Isolate top waits for server instance since last restart or statistics clear WITH Waits AS ( SELECT wait_type, wait_time_ms / 1000. AS [wait_time_s], 100. * wait_time_ms / SUM(wait_time_ms) OVER() AS [pct], ROW_NUMBER() OVER(ORDER BY wait_time_ms DESC) AS [rn] FROM sys.dm_os_wait_stats WHERE wait_type NOT IN ('CLR_SEMAPHORE','LAZYWRITER_SLEEP','RESOURCE_QUEUE', 'SLEEP_TASK','SLEEP_SYSTEMTASK','SQLTRACE_BUFFER_FLUSH','WAITFOR','LOGMGR_QUEUE', 'CHECKPOINT_QUEUE','REQUEST_FOR_DEADLOCK_SEARCH','XE_TIMER_EVENT','BROKER_TO_FLUSH', 'BROKER_TASK_STOP','CLR_MANUAL_EVENT','CLR_AUTO_EVENT','DISPATCHER_QUEUE_SEMAPHORE', 'FT_IFTS_SCHEDULER_IDLE_WAIT','XE_DISPATCHER_WAIT', 'XE_DISPATCHER_JOIN')) SELECT W1.wait_type, CAST(W1.wait_time_s AS DECIMAL(12, 2)) AS wait_time_s, CAST(W1.pct AS DECIMAL(12, 2)) AS pct, CAST(SUM(W2.pct) AS DECIMAL(12, 2)) AS running_pct FROM Waits AS W1 INNER JOIN Waits AS W2 ON W2.rn <= W1.rn GROUP BY W1.rn, W1.wait_type, W1.wait_time_s, W1.pct HAVING SUM(W2.pct) - W1.pct < 95; -- percentage threshold And got wait_type wait_time_s pct running_pct CXPACKET 554821.66 65.82 65.82 LATCH_EX 184123.16 21.84 87.66 SOS_SCHEDULER_YIELD 37541.17 4.45 92.11 PAGEIOLATCH_SH 19018.53 2.26 94.37 FT_IFTSHC_MUTEX 14306.05 1.70 96.07 That shows huge amounts of time synchronizing queries involving parallelism (high CXPACKET). Additionally, anecdotally many of these problem queries are being executed on multiple cores (we have no MAXDOP hints anywhere in our code) The server has not been under load for more than a day or so. We are experiencing a large amount of variance with query executions, typically many queries appear to be slower that they were on our previous DB server and CPU is really high. Will disabling Hyperthreading help at reducing our CPU usage and increase throughput?

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  • SQL 2005 indexed queries slower than unindexed queries

    - by uos??
    Adding a seemingly perfectly index is having an unexpectedly adverse affect on a query performance... -- [Data] has a predictable structure and a simple clustered index of the primary key: ALTER TABLE [dbo].[Data] ADD PRIMARY KEY CLUSTERED ( [ID] ) -- My query, joins on itself looking for a certain kind of "overlapping" records SELECT DISTINCT [Data].ID AS [ID] FROM dbo.[Data] AS [Data] JOIN dbo.[Data] AS [Compared] ON [Data].[A] = [Compared].[A] AND [Data].[B] = [Compared].[B] AND [Data].[C] = [Compared].[C] AND ([Data].[D] = [Compared].[D] OR [Data].[E] = [Compared].[E]) AND [Data].[F] <> [Compared].[F] WHERE 1=1 AND [Data].[A] = @A AND @CS <= [Data].[C] AND [Data].[C] < @CE -- Between a range [Data] has about a quarter-million records so far, 10% to 50% of the data satisfies the where clause depending on @A, @CS, and @CE. As is, the query takes 1 second to return about 300 rows when querying 10%, and 30 seconds to return 3000 rows when querying 50% of the data. Curiously, the estimated/actual execution plan indicates two parallel Clustered Index Scans, but the clustered index is only of the ID, which isn't part of the conditions of the query, only the output. ?? If I add this hand-crafted [IDX_A_B_C_D_E_F] index which I fully expected to improve performance, the query slows down by a factor of 8 (8 seconds for 10% & 4 minutes for 50%). The estimated/actual execution plans show an Index Seek, which seems like the right thing to be doing, but why so slow?? CREATE UNIQUE INDEX [IDX_A_B_C_D_E_F] ON [dbo].[Data] ([A], [B], [C], [D], [E], [F]) INCLUDE ([ID], [X], [Y], [Z]); The Data Engine Tuning wizard suggests a similar index with no noticeable difference in performance from this one. Moving AND [Data].[F] <> [Compared].[F] from the join condition to the where clause makes no difference in performance. I need these and other indexes for other queries. I'm sure I could hint that the query should refer to the Clustered Index, since that's currently winning - but we all know it is not as optimized as it could be, and without a proper index, I can expect the performance will get much worse with additional data. What gives?

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  • ASA Slow IPSec Performance with Inconsistent Window Size

    - by Brent
    I have a IPSec link between two sites over ASA 5520s running 8.4(3) and I am getting extremely poor performance when traffic passes over the IPSec VPN. CPU on the devices is ~13%, Memory at 408 MB, and active VPN sessions 2. The load on both of the the devices is particularly low. Latency between the two sites is ~40ms. Screenshot of wireshark file transfer between the two hosts over the firewall IPSec VPN performing at 10MBPS. Note the changing window size. http://imgur.com/wGTB8Cr Screenshot of wireshark file transfer between the two hosts over the firewall not going over IPSec performing at 55MBPS. Constant window size. http://imgur.com/EU23W1e I'm showing an inconsistent window size when transferring over the IPSec VPN ranging in 46,796 to 65535. When performing at 55+MBPS, the window size is consistently 65,535. Does this show a problem in my configuration of the IPSec VPN in the ASA or a Layer1/2 issue? Using ping xxxxxx -f -l I finally get a non-fragment at 1418 bytes so 1418+28 for IP/ICMP headers = 1446. I know that I have 1500 set on the ASA and Ethernet. I do have "Force Maximum segment size for TCP proxy connection to be" "1380" bytes set under Configuration Advanced TCP Options on the ASA. Using IPERF, I am getting a "TCP Window Full" every few seconds and ~3 MBPS performance. http://imgur.com/elRlMpY Show Run on the ASA http://pastebin.com/uKM4Jh76 Show cry accelerator stats http://pastebin.com/xQahnqK3

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  • Fastest PNG decoder for .NET

    - by sboisse
    Our web server needs to process many compositions of large images together before sending the results to web clients. This process is performance critical because the server can receive several thousands of requests per hour. Right now our solution loads PNG files (around 1MB each) from the HD and sends them to the video card so the composition is done on the GPU. We first tried loading our images using the PNG decoder exposed by the XNA API. We saw the performance was not too good. To understand if the problem was loading from the HD or the decoding of the PNG, we modified that by loading the file in a memory stream, and then sending that memory stream to the .NET PNG decoder. The difference of performance using XNA or using System.Windows.Media.Imaging.PngBitmapDecoder class is not significant. We roughly get the same levels of performance. Our benchmarks show the following performance results: Load images from disk: 37.76ms 1% Decode PNGs: 2816.97ms 77% Load images on Video Hardware: 196.67ms 5% Composition: 87.80ms 2% Get composition result from Video Hardware: 166.21ms 5% Encode to PNG: 318.13ms 9% Store to disk: 3.96ms 0% Clean up: 53.00ms 1% Total: 3680.50ms 100% From these results we see that the slowest parts are when decoding the PNG. So we are wondering if there wouldn't be a PNG decoder we could use that would allow us to reduce the PNG decoding time. We also considered keeping the images uncompressed on the hard disk, but then each image would be 10MB in size instead of 1MB and since there are several tens of thousands of these images stored on the hard disk, it is not possible to store them all without compression.

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  • Help on Website response time KPI parameters

    - by geeth
    I am working on improving website performance. Here are the list of key performance indicators I am looking at for each page Total Bytes downloaded Number of requests DNS look up time FirstByte Download time DOM content load time Total load time Is there any optimum value for each KPI to indicate website performance? Please help me in this regard.

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  • FreeBSD ZFS RAID-Z2 performance issues

    - by Axel Gneiting
    I'm trying to build my own network attached storage based on FreeBSD+ZFS+standard components, but there are strange performance issues. The hardware specs are: AMD Athlon II X2 240e processor ASUS M4A78LT-M LE mainboard 2GiB Kingston ECC DDR3 (two sticks) Intel Pro/1000 CT PCIe network adapter 5x Western Digital Caviar Green 1.5TB I created a RAID-Z2 zpool from all disks. I installed FreeBSD 8.1 on that zpool following the tutorial. The SATA controllers are running in AHCI mode. Output of zpool status: pool: zroot state: ONLINE scrub: none requested config: NAME STATE READ WRITE CKSUM zroot ONLINE 0 0 0 raidz2 ONLINE 0 0 0 gptid/7ef815fc-eab6-11df-8ea4-001b2163266d ONLINE 0 0 0 gptid/80344432-eab6-11df-8ea4-001b2163266d ONLINE 0 0 0 gptid/81741ad9-eab6-11df-8ea4-001b2163266d ONLINE 0 0 0 gptid/824af5cb-eab6-11df-8ea4-001b2163266d ONLINE 0 0 0 gptid/82f98a65-eab6-11df-8ea4-001b2163266d ONLINE 0 0 0 The problem is that write performance on the pool is very very bad (<10 MB/s) and every application that is accessing the disk is unresponsive every few seconds when writing. It seems like writing is fine until the ZFS ark cache is full and then ZFS stalls the entire system I/O till it's finished writing that data. Also I'm getting kmem_malloc to small kernel panics. I've already tried to put vm.kmem_size="1500M" vm.kmem_size_max="1500M" into /boot/loader.conf, but it doesn't help. Does anyone know what's going on here? Am I really not having enough memory for ZFS to handle this RAID-Z2?

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  • ORM solutions (JPA; Hibernate) vs. JDBC

    - by Grasper
    I need to be able to insert/update objects at a consistent rate of at least 8000 objects every 5 seconds in an in-memory HSQL database. I have done some comparison performance testing between Spring/Hibernate/JPA and pure JDBC. I have found a significant difference in performance using HSQL.. With Spring/Hib/JPA, I can insert 3000-4000 of my 1.5 KB objects (with a One-Many and a Many-Many relationship) in 5 seconds, while with direct JDBC calls I can insert 10,000-12,000 of those same objects. I cannot figure out why there is such a huge discrepancy. I have tweaked the Spring/Hib/JPA settings a lot trying to get close in performance without luck. I want to use Spring/Hib/JPA for future purposes, expandability, and because the foreign key relationships (one-many and many-many) are difficult to maintain by hand; but the performance requirements seem to point towards using pure JDBC. Any ideas of why there would be such a huge discrepancy?

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