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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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  • Need help trying to diagnose Symmetrix SAN performance issues

    - by arcain
    I am helping to benchmark hardware for a new SQL Server instance, and the volume presented to the OS for the data files is carved from a set of spindles on a Symmetrix SAN. The server has yet to have SQL Server installed, so the only activity on the box is our benchmarking. Now, our storage engineers say that this volume and it's resources are dedicated to our new server (I don't have access to see the actual SAN config) however the performance benchmarks are troubling. For example, the numbers look good until suddenly, and randomly, we see in our IO benchmarking tool wait times of 100 seconds, and disk queue lengths of 255 in perfmon. This SAN has an 8 GB cache, plus there are other applications besides ours that use the SAN. I'm wondering if (even though the spindles for our volumes should be dedicated to us) the cache may be getting hammered during the performance testing, or perhaps the spindles our volumes are on aren't really dedicated to us. We're not getting much traction from our storage engineers in helping us track down the problem, so if anybody has experience with diagnosing a problem like this and would like to share insights and troubleshooting methodologies, I'd appreciate it.

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  • python threading and performace?

    - by kumar
    I had to do heavy I/o bound operation, i.e Parsing large files and converting from one format to other format. Initially I used to do it serially, i.e parsing one after another..! Performance was very poor ( it used take 90+ seconds). So I decided to use threading to improve the performance. I created one thread for each file. ( 4 threads) for file in file_list: t=threading.Thread(target = self.convertfile,args = file) t.start() ts.append(t) for t in ts: t.join() But for my astonishment, there is no performance improvement whatsoever. Now also it takes around 90+ seconds to complete the task. As this is I/o bound operation , I had expected to improve the performance. What am I doing wrong?

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  • How does TopCoder evaluates code?

    - by Carlos
    If you are familiar with TopCoder you know that your source-code gets a final "grade/points" this depends on time, how many compiles, etc, one of the highest weighted being performance. But how can they test that, is there some sort of simple code (java or c++) to do it that you could share for me to evaluate and hopefully write my own to test the programs I write for University? This is sort of a follow up question to this one where I ask if shorter code results in best performance. P.S: Im interested in both of how topcoders knows performance and writing code to test performance.

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  • What is the correct stage to use for Google Guice in production in an application server?

    - by Yishai
    It seems like a strange question (the obvious answer would Production, duh), but if you read the java docs: /** * We want fast startup times at the expense of runtime performance and some up front error * checking. */ DEVELOPMENT, /** * We want to catch errors as early as possible and take performance hits up front. */ PRODUCTION Assuming a scenario where you have a stateless call to an application server, the initial receiving method (or there abouts) creates the injector new every call. If there all of the module bindings are not needed in a given call, then it would seem to have been better to use the Development stage (which is the default) and not take the performance hit upfront, because you may never take it at all, and here the distinction between "upfront" and "runtime performance" is kind of moot, as it is one call. Of course the downside of this would appear to be that you would lose the error checking, causing potential code paths to cause a problem by surprise. So the question boils down to are the assumptions in the above correct? Will you save performance on a large set of modules when the given lifetime of an injector is one call?

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  • Linux iptables / conntrack performance issue

    - by tim
    I have a test-setup in the lab with 4 machines: 2 old P4 machines (t1, t2) 1 Xeon 5420 DP 2.5 GHz 8 GB RAM (t3) Intel e1000 1 Xeon 5420 DP 2.5 GHz 8 GB RAM (t4) Intel e1000 to test linux firewall performance since we got bitten by a number of syn-flood attacks in the last months. All machines run Ubuntu 12.04 64bit. t1, t2, t3 are interconnected through an 1GB/s switch, t4 is connected to t3 via an extra interface. So t3 simulates the firewall, t4 is the target, t1,t2 play the attackers generating a packetstorm thorugh (192.168.4.199 is t4): hping3 -I eth1 --rand-source --syn --flood 192.168.4.199 -p 80 t4 drops all incoming packets to avoid confusion with gateways, performance issues of t4 etc. I watch the packet stats in iptraf. I have configured the firewall (t3) as follows: stock 3.2.0-31-generic #50-Ubuntu SMP kernel rhash_entries=33554432 as kernel parameter sysctl as follows: net.ipv4.ip_forward = 1 net.ipv4.route.gc_elasticity = 2 net.ipv4.route.gc_timeout = 1 net.ipv4.route.gc_interval = 5 net.ipv4.route.gc_min_interval_ms = 500 net.ipv4.route.gc_thresh = 2000000 net.ipv4.route.max_size = 20000000 (I have tweaked a lot to keep t3 running when t1+t2 are sending as many packets as possible). The result of this efforts are somewhat odd: t1+t2 manage to send each about 200k packets/s. t4 in the best case sees aroung 200k in total so half of the packets are lost. t3 is nearly unusable on console though packets are flowing through it (high numbers of soft-irqs) the route cache garbage collector is no way near to being predictable and in the default setting overwhelmed by very few packets/s (<50k packets/s) activating stateful iptables rules makes the packet rate arriving on t4 drop to around 100k packets/s, efectively losing more than 75% of the packets And this - here is my main concern - with two old P4 machines sending as many packets as they can - which means nearly everyone on the net should be capable of this. So here goes my question: Did I overlook some importand point in the config or in my test setup? Are there any alternatives for building firewall system especially on smp systems?

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  • My program is spending most of its time in objc_msgSend. Does that mean that Objective-C has bad per

    - by Paperflyer
    Hello Stackoverflow. I have written an application that has a number of custom views and generally draws a lot of lines and bitmaps. Since performance is somewhat critical for the application, I spent a good amount of time optimizing draw performance. Now, activity monitor tells me that my application is usually using about 12% CPU and Instrument (the profiler) says that a whopping 10% CPU is spent in objc_msgSend (mostly in drawing related system calls). On the one hand, I am glad about this since it means that my drawing is about as fast as it gets and my optimizations where a huge success. On the other hand, it seems to imply that the only thing that is still using my CPU is the Objective-C overhead for messages (objc_msgSend). Hence, that if I had written the application in, say, Carbon, its performance would be drastically better. Now I am tempted to conclude that Objective-C is a language with bad performance, even though Cocoa seems to be awfully efficient since it can apparently draw faster than Objective-C can send messages. So, is Objective-C really a language with bad performance? What do you think about that?

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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. EDIT: In the end, nothing really worked, and I got really annoyed with the state of compiz and its support in Debian. Many nVidia driver revisions have passed and I am using Gnome 3 now, so I am accepting the best answers to this question even though the issue was not resolved.

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