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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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• 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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• 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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• 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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• Developing high-performance and scalable zend framework website

  - by Daniel

  We are going to develop an ads website like http://www.gumtree.com/ (it will not be like this one but just to give you an ideea) and we are having some issues regarding performance and scalability. We are planning on using Zend Framework for this project but this is all that I'm sure off at this point. I don't think a classic approch like Zend Framework (PHP) + MySQL + Memcache + jQuery (and I would throw Doctrine 2 in there to) will fix result in a high-performance application. I was thinking on making this a RESTful application (with Zend Framework) + NGINX (or maybe MongoDB) + Memcache (or eAccelerator -- I understand this will create problems with scalability on multiple servers) + jQuery, a CDN for static content, a server for images and a scalable server for the requests and the rest. My questions are: - What do you think about my approch? - What solutions would you recommand in terms of servers approch (MySQL, NGINX, MongoDB or pgsql) for a scalable application expected to have a lot of traffic using PHP?...I would be interested in your approch. Note: I'm a Zend Framework developer and don't have to much experience with the servers part (to determin what would be best solution for my scalable application)

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• export data from WCF Service to excel

  - by Dave

  I need to provide an export to excel feature for a large amount of data returned from a WCF web service. The code to load the datalist is as below: List<resultSet> r = myObject.ReturnResultSet(myWebRequestUrl); //call to WCF service myDataList.DataSource = r; myDataList.DataBind(); I am using the Reponse object to do the job: Response.Clear(); Response.Buffer = true; Response.ContentType = "application/vnd.ms-excel"; Response.AddHeader("Content-Disposition", "attachment; filename=MyExcel.xls"); StringBuilder sb = new StringBuilder(); StringWriter sw = new StringWriter(sb); HtmlTextWriter tw = new HtmlTextWriter(sw); myDataList.RenderControl(tw); Response.Write(sb.ToString()); Response.End(); The problem is that WCF Service times out for large amount of data (about 5000 rows) and the result set is null. When I debug the service, I can see the window for saving/opening the excel sheet appear before the service returns the result and hence the excel sheet is always empty. Please help me figure this out.

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• Calculate time of method execution and send to WCF service async

  - by Tim

  I need to implement time calculation for repository methods in my asp .net mvc project classes. The problem is that i need to send time calculation data to WCF Service which is time consuming. I think about threads which can help to cal WCF service asynchronously. But I have very little experience with it. Do I need to create new thread each time or I can create a global thread, if so then how? I have something like that: StopWatch class public class StopWatch { private DateTime _startTime; private DateTime _endTime; public void Start() { _startTime = DateTime.Now; } protected void StopTimerAndWriteStatistics() { _endTime = DateTime.Now; TimeSpan timeResult = _endTime - _startTime; //WCF proxy object var reporting = AppServerUtility.GetProxy<IReporting>(); //Send data to server reporting.WriteStatistics(_startTime, _endTime, timeResult, "some information"); } public void Stop() { //Here is the thread I have question with var thread = new Thread(StopTimerAndWriteStatistics); thread.Start(); } } Using of StopWatch class in Repository public class SomeRepository { public List<ObjectInfo> List() { StopWatch sw = new StopWatch(); sw.Start(); //performing long time operation sw.Stop(); } } What am I doing wrong with threads?

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• silverlight security with WCF service, Forms Authentication and Custom Form Ticket

  - by user74825

  I have a silverlight application with login on the silverlight page. It uses Forms Authentication with WCF authentication service and customer Membership Provider. Something like : http://blogs.msdn.com/phaniraj/archive/2009/09/10/using-the-ado-net-data-services-silverlight-client-library-in-x-domain-and-out-of-browser-scenarios-ii-forms-authentication.aspx So, SL page login page calls the WCF service authentication service, it validates using DB - brings back username and password. Now, in each subsequent calls (in Global.asax in Authenticate_Request, I get HttpContext.User.IsAuthenticated and HttpContext.User.UserName). I have all this working properly. But, I just don't want the username, but more information surrounding the user, like UserId, UserAddress, UserAssociateCustomer etc. I tried couple of different approaches. 1) Use HttpContext.Cache as a dictionary to save the item and get it off based on httpcontext.user.name, problem is cache can be erased if there memory is being used heavily. 2) Tried CustomFormsAuth Ticket, when forms authentication writes a ticket, I intercept CreatingCookie method and write additional info in formauthentication ticket, so that I can read it in subsequent requests, I am having problems with this approach, I don't find the ticket in subsequent requests. I read about how we should use REsponse.Redirect, but where do I redirect user from WCF call. How do you guys implement the above scenario? Any best practices.? Any issues you see with going on HTTPS? All examples (or most of them) just explains simple forms authentication with "I am logged in message".. Any suggestions ?

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• ASMX schema varies when using WCF Service

  - by Lijo

  Hi, I have a client (created using ASMX "Add Web Reference"). The service is WCF. The signature of the methods varies for the client and the Service. I get some unwanted parameteres to the method. Note: I have used IsRequired = true for DataMember. Service: [OperationContract] int GetInt(); Client: proxy.GetInt(out requiredResult, out resultBool); Could you please help me to make the schame non-varying in both WCF clinet and non-WCF cliet? Do we have any best practices for that? using System.ServiceModel; using System.Runtime.Serialization; namespace SimpleLibraryService { [ServiceContract(Namespace = "http://Lijo.Samples")] public interface IElementaryService { [OperationContract] int GetInt(); [OperationContract] int SecondTestInt(); } public class NameDecorator : IElementaryService { [DataMember(IsRequired=true)] int resultIntVal = 1; int firstVal = 1; public int GetInt() { return firstVal; } public int SecondTestInt() { return resultIntVal; } } } Binding = "basicHttpBinding" using NonWCFClient.WebServiceTEST; namespace NonWCFClient { class Program { static void Main(string[] args) { NonWCFClient.WebServiceTEST.NameDecorator proxy = new NameDecorator(); int requiredResult =0; bool resultBool = false; proxy.GetInt(out requiredResult, out resultBool); Console.WriteLine("GetInt___"+requiredResult.ToString() +"__" + resultBool.ToString()); int secondResult =0; bool secondBool = false; proxy.SecondTestInt(out secondResult, out secondBool); Console.WriteLine("SecondTestInt___" + secondResult.ToString() + "__" + secondBool.ToString()); Console.ReadLine(); } } } Please help.. Thanks Lijo

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• Windows service threading call to WCF service

  - by Sam Brinsted

  Hi, I have a windows service that is reading data from a database and then submitting it to a WCF serivce. Once that has finished it is stamping a processed date on the original record. Trouble I am currently having is to do with threading. The call to the WCF serivce is relatively long and I want to have a number of concurrent calls to the service to help improve the throughput of the windows service. Currently I have a submitToService method on a new worker class. Upon reading a new row from the database I am creating a new thread which is calling this method. This obviously isn't too good as the number of threads quickly shoots up and overburdens the WCF service. I have put a thread.sleep in the submit method and am sure to call System.Threading.Thread.CurrentThread.Abort(); after the submission has finished. However, I don't seem to see the number of threads go down. How can I just have a fixed number of threads that can be used in the windows service? I did think about using a thread pool but read somewhere that wasn't a good choice for a windows service. Thanks very much.

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• Access problems with IIS 7 and a WCF service

  - by Steve

  I have a Silverlight app that calls a WCF service, the service calls some stored procedures in an SQL db using Visual Studio 2008's Link to SQL class and returns the information to whatever called it. I have set up the compiled project (website with embedded app and the WCF service) on an remote IIS 7 server. I recompiled my local copy to use the WCF service that is now hosted on the IIS box and not the one on the local dev server that Visual Studio provides, if I use the local version of the website (hosted on the dev server, and using the remote SCF service) it is able to make calls it needs and display the information. However, if I use the website that is being hosted by the remote IIS server, the app will not get the information it needs from the service. On the IIS server I have the application pool and the website running under my credentials, which have access to the database. Users connecting to the webpage use anonymous authentication. Any ideas as to why I can only access the service when running from the dev server and not through the remotely hosted webpage are appreciated. If anything needs clarification, please ask.

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• Should I enable "Intel NIC DMA Channels"?

  - by javapowered

  I have HP DL360p Gen8 646902-xx1 I'm trying to optimize my config for low latency trading. Should I enable "Intel NIC DMA Channels"? Will that help/affect my system? From HP doc: Added a new ROM Based Setup Utility (RBSU) Advanced Performance Option menu that allows the user to enable Intel NIC DMA Channels (IOAT). This option is disabled by default. When enabled, certain networking devices may see an improvement in performance by utilizing Intel's DMA engine to offload network activity. Please consult documentation from the network adapter to determine if this feature is supported.

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

  - by John DaCosta

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

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• Upgrading a PERC h310 to a PERC H710 mini RAID controller on a Dell R620

  - by Gregg Leventhal

  I have an ESXi 5.0 Free license host using an internal Datastore (RAID 5, 5 Disk) that was configured with a Dell PERC h310 RAID controller. The disk performance was very poor, so I upgraded to the PERC H710 Mini. The IT Tech installed the controller and powered the host back on. I had to rescan the controller and the datastore appeared. Should any settings be changed in the RAID BIOS, or should the default settings be sufficient? Is they anything to be aware of when performing this type of upgrade in order to achieve the maximum performance?

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• Unix sort keys cause performance problems

  - by KenFar

  My data: It's a 71 MB file with 1.5 million rows. It has 6 fields All six fields combine to form a unique key - so that's what I need to sort on. Sort statement: sort -t ',' -k1,1 -k2,2 -k3,3 -k4,4 -k5,5 -k6,6 -o output.csv input.csv The problem: If I sort without keys, it takes 30 seconds. If I sort with keys, it takes 660 seconds. I need to sort with keys to keep this generic and useful for other files that have non-key fields as well. The 30 second timing is fine, but the 660 is a killer. More details using unix time: sort input.csv -o output.csv = 28 seconds sort -t ',' -k1 input.csv -o output.csv = 28 seconds sort -t ',' -k1,1 input.csv -o output.csv = 64 seconds sort -t ',' -k1,1 -k2,2 input.csv -o output.csv = 194 seconds sort -t ',' -k1,1 -k2,2 -k3,3 input.csv -o output.csv = 328 seconds sort -t ',' -k1,1 -k2,2 -k3,3 -k4,4 input.csv -o output.csv = 483 seconds sort -t ',' -k1,1 -k2,2 -k3,3 -k4,4 -k5,5 input.csv -o output.csv = 561 seconds sort -t ',' -k1,1 -k2,2 -k3,3 -k4,4 -k5,5 -k6,6 input.csv -o output.csv = 660 seconds I could theoretically move the temp directory to SSD, and/or split the file into 4 parts, sort them separately (in parallel) then merge the results, etc. But I'm hoping for something simpler since looks like sort is just picking a bad algorithm. Any suggestions? Testing Improvements using buffer-size: With 2 keys I got a 5% improvement with 8, 20, 24 MB and best performance of 8% improvement with 16MB, but 6% worse with 128MB With 6 keys I got a 5% improvement with 8, 20, 24 MB and best performance of 9% improvement with 16MB. Testing improvements using dictionary order (just 1 run each): sort -d --buffer-size=8M -t ',' -k1,1 -k2,2 input.csv -o output.csv = 235 seconds (21% worse) sort -d --buffer-size=8M -t ',' -k1,1 -k2,2 input.csv -o ouput.csv = 232 seconds (21% worse) conclusion: it makes sense that this would slow the process down, not useful Testing with different file system on SSD - I can't do this on this server now. Testing with code to consolidate adjacent keys: def consolidate_keys(key_fields, key_types): """ Inputs: - key_fields - a list of numbers in quotes: ['1','2','3'] - key_types - a list of types of the key_fields: ['integer','string','integer'] Outputs: - key_fields - a consolidated list: ['1,2','3'] - key_types - a list of types of the consolidated list: ['string','integer'] """ assert(len(key_fields) == len(key_types)) def get_min(val): vals = val.split(',') assert(len(vals) <= 2) return vals[0] def get_max(val): vals = val.split(',') assert(len(vals) <= 2) return vals[len(vals)-1] i = 0 while True: try: if ( (int(get_max(key_fields[i])) + 1) == int(key_fields[i+1]) and key_types[i] == key_types[i+1]): key_fields[i] = '%s,%s' % (get_min(key_fields[i]), key_fields[i+1]) key_types[i] = key_types[i] key_fields.pop(i+1) key_types.pop(i+1) continue i = i+1 except IndexError: break # last entry return key_fields, key_types While this code is just a work-around that'll only apply to cases in which I've got a contiguous set of keys - it speeds up the code by 95% in my worst case scenario.

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• What would be the optimal disk config for SQL Server 2008 R2?

  - by Kev

  We have a new Dell R710 server that came with the following storage configuration: 8 x 146GB SAS 10k 6Gbps disks 1 x Perc H700 Integrated Controller (2 x 4 disks - 2 ports each supporting 4 disks) What would be the optimal configuration if we were just after performance? What would be the optimal configuration if we were after performance but wanted data resilience. As per 2 above but with a hot standby disk? We plan to run Windows 2008 R2 and SQL Server 2008 R2. Maximising storage capacity isn't a prime concern.

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• Dell OpenManage Causing Periodic Slowness

  - by Zorlack

  Today we diagnosed the cause of a Periodic slowness issue: see here. Dell OpenManage Server Administrator seems to have been causing hourly slowness. It would occasionally peg one of the CPUs for upwards of two minutes. Disabling it drastically improved the performance of the SQL Server. The server hardware: Dell R710 Dual Quad Core 2.9GHz Processors 96GB Memory 2 Disk RAID 1 SAS System Disk (Internal) 4 Disk RAID 10 SAS Log Disk (Internal) 14 Disk RAID 10 SAS Data Disk (External DAS MD1000) Windows 2008 Enterprise R2 x64 We installed the OS using Dell OpenManage Server Assistant, so I assume that it was correctly configured. For now we have disabled OMSA to alleviate the performance issues it was causing, but I'd like to be able to re-enable it. Has anyone had a similar experience that can shed a little light on the nature of this problem?

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• Justifying a memory upgrade

  - by AngryHacker

  My employer has over a thousand servers (running SQL Server 2005 x64 and a couple of other apps) all across the country. And in my opinion they are all massively underpowered for what they need to do. Specifically, I feel that the servers simply do not have enough RAM for the amount of volume the machines are asked to do. All the servers currently have 6GB of RAM. The users are pretty much always complaining about performance (mostly because, immo, the server dips into the paging file quite often). I finally convinced the powers that be to at least try out a memory upgrade on one box and see the results. However, they want before and after metrics, so that they can see that the expense will be justified. My question is what metrics should I collect to see whether the performance truly improves on the box? I am a dev, so I am not sure how and what to collect (i have a passing knowledge of Perfmon).

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• what is acceptable datastore latency on VMware ESXi host?

  - by BeowulfNode42

  Looking at our performance figures on our existing VMware ESXi 4.1 host at the Datastore/Real-time performance data Write Latency Avg 14 ms Max 41 ms Read Latency Avg 4.5 ms Max 12 ms People don't seem to be complaining too much about it being slow with those numbers. But how much higher could they get before people found it to be a problem? We are reviewing our head office systems due to running low on storage space, and are tossing up between buying a 2nd VM host with DAS or buying some sort of NAS for SMB file shares in the near term and maybe running VMs from it in the longer term. Currently we have just under 40 staff at head office with 9 smaller branches spread across the country. Head office is runnning in an MS RDS session based environment with linux ERP and mail systems. In total 22 VMs on a single host with DAS made from a RAID 10 made of 6x 15k SAS disks.

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• Where can I find performance benchmarks of ALIX.1D system (AMD Geode LX800)

  - by Casey

  The AMD Geode LX800 processor was popular a few years ago, but now I can't find any information related to performance. If anyone has some good links on this, I would love to have them. This processor was also used in the OLPC project.

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