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  • Demonstration Image BIC2G for Partners (OBI, Exalytics, BI-Apps, and EPM)

    - by Mike.Hallett(at)Oracle-BI&EPM
    There is now available the new version of the VirtualBox Demonstration Image, "BIC2g 2012-10" for Partners; including support for OBI, Exalytics, BI Applications, and EPM Hyperion applications. This is a demonstration, training and POV image that contains BI/Exalytics, BI Applications, and EPM product (software). It was originally developed to support internal Oracle Exalytics training, and has been expanded to include BI Applications. It is an OVA virtual appliance that can be imported into VirtualBox. Details can be found in the BIC2g Partner Edition Exalytics Readme and BIC2g Partner Edition Deployment Guide, and it can be downloaded from the Partner FTP site at /static/BIC2G (see BI Solutions Engineering Partner Portal for connection information and further detail on Demonstration Images for Partners).

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  • BI&EPM in Focus November 2013

    - by Mike.Hallett(at)Oracle-BI&EPM
    Normal 0 false false false EN-GB X-NONE X-NONE IBM is Embracing Oracle Exalytics: The Velocity of Thought and Action (link) Customers Ambulance Victoria, Australia, uses analytics and modelling to serve the expanding needs of a growing population (link) Cablemás Selects Oracle to Speed Customer Data Insights (link) National Instruments Introduces New Business Intelligence Solutions—Runs Reports up to 30x Faster, and Expands Customer Insight (link) FLSmidth Ensures Precise, Transparent Financial Reporting at All Business Levels, Reduces Financial Consolidation Time by up to 40% (link) Enterprise Performance Management Partner Edgewater Ranzal Webinar Series Mitigate Your Biggest EPM Project Risk - Thursday, 21st November - Register here:  4.00 GMT Capital Planning in the Energy Industry - Tuesday, 26th November - Register here:  4.00 GMT Driving Value in the Retail Industry Using Hyperion Strategic Finance (HSF)  - Tuesday, 10th December - Register here:  7.00 GMT Dec 11, Look Smarter Selling Hyperion Profitability & Cost Management (HPCM) Webcast (link) EPM System Infrastructure Tips & Tricks Support: November EPM Patch Set Updates released Business Analytics Monthly Index - October 2013 Hyperion Smart View Assistance with OBIEE 11.1.1.7 Hyperion Disclosure Management 11.1.2.3.330 PSU 17444967 [Doc ID 1592645.1] Hyperion Financial Close Management (FCM) 11.1.2.3.100 PSU 16989110 [Doc ID 1592644.1] Business  Intelligence BI-Apps Whitepaper: Packaged Analytic Applications: Accelerating Time and Value By Wayne Eckerson (link) BI Apps Blog: A Closer Look at Oracle Price Analytics (link) Blog: Taking Your Business Scorecard Golfing (link) Blog: Practical Uses of Business Scorecards, from Company-Wide to Process Specific (link) Nov 19, Big Data at Work Series: How Delphi Harnesses Big Data to Improve Warranty Response & Customer Satisfaction (link) Rittman Mead Blog: Oracle BI Apps 11.1.1.7.1 – GoldenGate Integration Support: OBIEE Suite Bundle Patches (understand OBIEE naming convention) [Doc ID 1591422.1] Support Blog: Java update alert: Essbase Administration Services (EAS) 11.1.2.3 (link) Support Blog: OBIEE 11.1.1.7.131017 now available (link) /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-fareast-language:EN-US;}

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  • Server Performance

    - by sb12
    I know very little about performance tuning of servers etc... so i thought i'd put this up here as i start some research on it, just to get some direction. I am in the process of migrating from my old server to a new one - both are 64 bit machines. One is a few years old, the other brand new (PowerEdge R410). The old server spec is: 2 cpus, 3.4GHz Pentiums, 8G of RAM, Fedora 11 currently installed The new server spec is: 16 cpus, 3.2 GHz Xeon, 16G of RAM, CentOS 6.2 installed. Also RAID10 is on the new server - no RAID on the old one. Both servers currently have the same database (MySQL) with the same data migrated. I wrote a Perl script that simply steps through each row of a table in the database (about 18000 rows) and updates a value in that row. Every row in the table is updated. Out of curiosity i ran this perl script on both machines, just to see how the new server would perform vs. the old one, and it produced interesting results: The old server was twice as fast as the new one to complete. Looking at the database, both are configured exactly the same (the new one being a dump of the old one...)... Anyone any ideas why this would be given the hardware gap between both? As i said i'm about to start some digging, but thought i'd put this up here to maybe get some good direction.... Many thanks in advance..

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  • How can I tell which page is creating a high-CPU-load httpd process?

    - by Greg
    I have a LAMP server (CentOS-based MediaTemple (DV) Extreme with 2GB RAM) running a customized Wordpress+bbPress combination . At about 30k pageviews per day the server is starting to groan. It stumbled earlier today for about 5 minutes when there was an influx of traffic. Even under normal conditions I can see that the virtual server is sometimes at 90%+ CPU load. Using Top I can often see 5-7 httpd processes that are each using 15-30% (and sometimes even 50%) CPU. Before we do a big optimization pass (our use of MySQL is probably the culprit) I would love to find the pages that are the main offenders and deal with them first. Is there a way that I can find out which specific requests were responsible for the most CPU-hungry httpd processes? I have found a lot of info on optimization in general, but nothing on this specific question. Secondly, I know there are a million variables, but if you have any insight on whether we should be at the boundaries of performance with a single dedicated virtual server with a site of this size, then I would love to hear your opinion. Should we be thinking about moving to a more powerful server, or should we be focused on optimization on the current server?

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  • How to collect the performance data of a server during an unreachable/down period using Nagios?

    - by gsc-frank
    Some time services and host stop responding due to a poor server performance. I mean, if for some reason (could be lot of concurrency services access, a expensive backup execution on the server or whatever that consume tons of server resources) a server performance is very degraded, that could lead that the server isn't capable to establish any "normal network communication" (without trigger whatever standards timeouts defined for such communication). Knowing host's performance data (cpu, memory, ...) in case of available during that period (host is not down and despite of its performance degradation still allow plugins collect performance data) could be very useful for sysadmin to try to determine what cause the problem, or at least, if the host performance was good and don't interfered at all in the host/service down. This problem could be solved using remote active (NRPE) or remote passive (NSCA) if such remote solutions could store (buffered) perf data to be send to central Nagios server when host performance or network outage allow it. I read the doc of both solutions and can't find any reference to such buffer mechanism neither what happened in case that NSCA can't reach Nagios server. Any idea of how solve this lack of info? so useful for forensic analysis. EDIT: My questions isn about which tools I can use to debug perf problems or gather perf data to analysis, but is about how collect (using Nagios) host perf data even during a network outage for its posterior analysis (kind of forensic analysis). The idea is integrate such data to Nagios graphers like pnp4nagios and NagiosGrapther. I know that I could install tools like Cacti in each of my host, and have a kind of performance data collection redundancy, but I really want avoid that and try to solve all perf analysis requirements with one tools: Nagios

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  • BI and EPM Landscape

    - by frank.buytendijk
    Most of my blog entries are not about Oracle products, and most of the latest entries are about topics such as IT strategy and enterprise architecture. However, given my background at Gartner, and at Hyperion, I still keep a close eye on what's happening in BI and EPM. One important reason is that I believe there is significant competitive value for organizations getting BI and EPM right. Davenport and Harris wrote a great book called "Competing on Analytics", in which they explain this in a very engaging and convincing way. At Oracle we have defined the concept of "management excellence" that outlines what organizations have to do to keep or create a competitive edge. It's not only in the business processes, but also in the management processes. Recently, Gartner published its 2009 market shares report for BI, Analytics, and Performance Management. Gartner identifies the same three segments that Oracle does: (1) CPM Suites (Oracle refers not to Corporate Performance Management, but Enterprise Performance Management), (2) BI Platform, and (3) Analytic Applications & Performance Management. According to Gartner, Oracle's share is increasing with revenue growing by more than 5%. Oracle currently holds the #2 market share position in the overall BI Software space based on total BI software revenue. Source: Gartner Dataquest Market Share: Business Intelligence, Analytics and Performance Management Software, Worldwide, 2009; Dan Sommer and Bhavish Sood; Apr 2010 Gartner has ranked Oracle as #1 in the CPM Suites worldwide sub-segment based on total BI software revenue, and Oracle is gaining share with revenue growing by more than 6% in 2009. Source: Gartner Dataquest Market Share: Business Intelligence, Analytics and Performance Management Software, Worldwide, 2009; Dan Sommer and Bhavish Sood; Apr 2010 The Analytic Applications & Performance Management subsegment is more fragmented. It has for instance a very large "Other Vendors" category. The largest player traditionally is SAS. Analytic Applications are often meant for very specific analytic needs in very specific industry sectors. According to Gartner, from the large vendors, again Oracle is the one who is gaining the most share - with total BI software revenue growth close to 15% in 2009. Source: Gartner Dataquest Market Share: Business Intelligence, Analytics and Performance Management Software, Worldwide, 2009; Dan Sommer and Bhavish Sood; Apr 2010 I believe this shows Oracle's integration strategy is working. In fact, integration actually is the innovation. BI and EPM have been silo technology platforms and application suites way too long. Management and measuring performance should be very closely linked to strategy execution, which is the domain of other business application areas such as CRM, ERP, and Supply Chain. BI and EPM are not about "making better decisions" anymore, but are part of a tangible action framework. Furthermore, organizations are getting more serious about ecosystem thinking. They do not evaluate single tools anymore for different application areas, but buy into a complete ecosystem of hardware, software and services. The best ecosystem is the one that offers the most options, in environments where the uncertainty is high and investments are hard to reverse. The key to successfully managing such an environment is middleware, and BI and EPM become increasingly middleware intensive. In fact, given the horizontal nature of BI and EPM, sitting on top of all business functions and applications, you could call them "upperware". Many are active in the BI and EPM space. Big players can offer a lot, but there are always many areas that are covered by specialty vendors. Oracle openly embraces those technologies within the ecosystem as well. Complete, open and integrated still accurately describes the Oracle product strategy. frank

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  • SQL Server 2005 standard filegroups / files for performance on SAN

    - by Blootac
    I submitted this to stack overflow (here) but realised it should really be on serverfault. so apologies for the incorrect and duplicate posting: Ok so I've just been on a SQL Server course and we discussed the usage scenarios of multiple filegroups and files when in use over local RAID and local disks but we didn't touch SAN scenarios so my question is as follows; I currently have a 250 gig database running on SQL Server 2005 where some tables have a huge number of writes and others are fairly static. The database and all objects reside in a single file group with a single data file. The log file is also on the same volume. My interpretation is that separate data files should be used across different disks to lessen disk contention and that file groups should be used for partitioning of data. However, with a SAN you obviously don't really have the same issue of disk contention that you do with a small RAID setup (or at least we don't at the moment), and standard edition doesn't support partitioning. So in order to improve parallelism what should I do? My understanding of various Microsoft publications is that if I increase the number of data files, separate threads can act across each file separately. Which leads me to the question how many files should I have. One per core? Should I be putting tables and indexes with high levels of activity in separate file groups, each with the same number of data files as we have cores? Thank you

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  • KVM Slow performance on XP Guest

    - by Gregg Leventhal
    The system is very slow to do anything, even browse a local folder, and CPU sits at 100% frequently. Guest is XP 32 bit. Host is Scientific Linux 6.2, Libvirt 0.10, Guest XP OS shows ACPI Multiprocessor HAL and a virtIO driver for NIC and SCSI. Installed. CPUInfo on host: processor : 0 vendor_id : GenuineIntel cpu family : 6 model : 42 model name : Intel(R) Core(TM) i7-2600 CPU @ 3.40GHz stepping : 7 cpu MHz : 3200.000 cache size : 8192 KB physical id : 0 siblings : 8 core id : 0 cpu cores : 4 apicid : 0 initial apicid : 0 fpu : yes fpu_exception : yes cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx rdtscp lm constant_tsc arch_perfmon pebs bts rep_good xtopology nonstop_tsc aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic popcnt tsc_deadline_timer aes xsave avx lahf_lm ida arat epb xsaveopt pln pts dts tpr_shadow vnmi flexpriority ept vpid bogomips : 6784.93 clflush size : 64 cache_alignment : 64 address sizes : 36 bits physical, 48 bits virtual power management: <memory unit='KiB'>4194304</memory> <currentMemory unit='KiB'>4194304</currentMemory> <vcpu placement='static' cpuset='0'>1</vcpu> <os> <type arch='x86_64' machine='rhel6.3.0'>hvm</type> <boot dev='hd'/> </os> <features> <acpi/> <apic/> <pae/> </features> <cpu mode='custom' match='exact'> <model fallback='allow'>SandyBridge</model> <vendor>Intel</vendor> <feature policy='require' name='vme'/> <feature policy='require' name='tm2'/> <feature policy='require' name='est'/> <feature policy='require' name='vmx'/> <feature policy='require' name='osxsave'/> <feature policy='require' name='smx'/> <feature policy='require' name='ss'/> <feature policy='require' name='ds'/> <feature policy='require' name='tsc-deadline'/> <feature policy='require' name='dtes64'/> <feature policy='require' name='ht'/> <feature policy='require' name='pbe'/> <feature policy='require' name='tm'/> <feature policy='require' name='pdcm'/> <feature policy='require' name='ds_cpl'/> <feature policy='require' name='xtpr'/> <feature policy='require' name='acpi'/> <feature policy='require' name='monitor'/> <feature policy='force' name='sse'/> <feature policy='force' name='sse2'/> <feature policy='force' name='sse4.1'/> <feature policy='force' name='sse4.2'/> <feature policy='force' name='ssse3'/> <feature policy='force' name='x2apic'/> </cpu> <clock offset='localtime'> <timer name='rtc' tickpolicy='catchup'/> </clock> <on_poweroff>destroy</on_poweroff> <on_reboot>restart</on_reboot> <on_crash>restart</on_crash> <devices> <emulator>/usr/libexec/qemu-kvm</emulator> <disk type='file' device='disk'> <driver name='qemu' type='qcow2' cache='none'/> <source file='/var/lib/libvirt/images/Server-10-9-13.qcow2'/> <target dev='vda' bus='virtio'/> <alias name='virtio-disk0'/> <address type='pci' domain='0x0000' bus='0x00' slot='0x08' function='0x0'/> </disk>

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  • Application Performance: The Best of the Web

    - by Michaela Murray
    Wisdom A deep understanding and realization […] resulting in the ability to apply perceptions, judgements and actions. It is also the comprehension of what is true coupled with optimum judgment as to action. - Wikipedia We’re writing a book for ASP.NET developers, and we want you to be a part of it. We know that there’s a huge amount of web developer wisdom that never gets shared, and we want to find those golden nuggets of knowledge and experience, and make sure everyone can learn from them. Right now, we want to find out about your top tips, hard-won lessons, and sage advice for avoiding, finding, and fixing application performance problems. If you work with .NET and SQL, even better – a lot of application performance relies on the interaction with the database, so we want to hear from you! “How Do You Want Me To Be Involved?” Right! Details! We want you, our most excellent readers, to email us with the Best Advice you would give to other developers for getting the best performance out of their applications. It doesn’t matter if your advice is for newbies or veterans, .NET or SQL – so long as it’s about application performance, we want to hear from you. (And if you think that there’s developer wisdom out there that “everyone knows”, a) I’m willing to bet you could find someone who doesn’t know about it, and b) it probably bears repeating anyway!) “I’m Interested. What Can You Do For Me?” Excellent question. For starters, there’s a chance to win a Microsoft Surface (the tablet, not the table-top). Once all the ASP.NET Wisdom has been collected, tallied, and labelled, it will then be weighed and measured by a team of expert judges (whose identities are still a closely-guarded secret).  The top tip in both SQL & .NET categories will each win their author their very own MS Surface. But that’s not all! We can also give you… immortality! More details? Ok. We’ll be collecting all of the tips sent in by our readers (and we can’t wait to learn from you all,) and with the help of our Simple-Talk editors, we will publish and distribute your combined and documented knowledge as a free, community-created, professionally typeset eBook. You will naturally be credited by name / pseudonym / twitter handle / GitHub username / StackOverflow profile / Whatever, as the clearly ingenious author of hot performance tips. The Not-Very-Fine Print Here’s the breakdown: We want to bring together the best application performance knowledge from ASP.NET developers. Closing date for submissions will be 9am GMT, December 4th. Submissions should be made by email – [email protected] Submissions will be judged by a panel of expert judges (who will be revealed soon). The top submission in both the SQL & .NET categories will each win a Microsoft Surface. ALL the tips which make it through the judging process will be polished by Simple-Talk editors, and turned into a professionally typeset eBook, which will be freely available, and promoted alongside the ANTS Performance Profiler tool. Anyone whose entry makes it into the book will be clearly and profusely credited in the method of their choice (or can remain anonymous.) The really REALLY short version Share what you know about ASP.NET application performance for a chance to win a Microsoft Surface, and then get your name credited in a slick eBook with top-notch production values. For more details, see above. We can’t wait to learn from you!

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  • Analysing and measuring the performance of a .NET application (survey results)

    - by Laila
    Back in December last year, I asked myself: could it be that .NET developers think that you need three days and a PhD to do performance profiling on their code? What if developers are shunning profilers because they perceive them as too complex to use? If so, then what method do they use to measure and analyse the performance of their .NET applications? Do they even care about performance? So, a few weeks ago, I decided to get a 1-minute survey up and running in the hopes that some good, hard data would clear the matter up once and for all. I posted the survey on Simple Talk and got help from a few people to promote it. The survey consisted of 3 simple questions: Amazingly, 533 developers took the time to respond - which means I had enough data to get representative results! So before I go any further, I would like to thank all of you who contributed, because I now have some pretty good answers to the troubling questions I was asking myself. To thank you properly, I thought I would share some of the results with you. First of all, application performance is indeed important to most of you. In fact, performance is an intrinsic part of the development cycle for a good 40% of you, which is much higher than I had anticipated, I have to admit. (I know, "Have a little faith Laila!") When asked what tool you use to measure and analyse application performance, I found that nearly half of the respondents use logging statements, a third use performance counters, and 70% of respondents use a profiler of some sort (a 3rd party performance profilers, the CLR profiler or the Visual Studio profiler). The importance attributed to logging statements did surprise me a little. I am still not sure why somebody would go to the trouble of manually instrumenting code in order to measure its performance, instead of just using a profiler. I personally find the process of annotating code, calculating times from log files, and relating it all back to your source terrifyingly laborious. Not to mention that you then need to remember to turn it all off later! Even when you have logging in place throughout all your code anyway, you still have a fair amount of potentially error-prone calculation to sift through the results; in addition, you'll only get method-level rather than line-level timings, and you won't get timings from any framework or library methods you don't have source for. To top it all, we all know that bottlenecks are rarely where you would expect them to be, so you could be wasting time looking for a performance problem in the wrong place. On the other hand, profilers do all the work for you: they automatically collect the CPU and wall-clock timings, and present the results from method timing all the way down to individual lines of code. Maybe I'm missing a trick. I would love to know about the types of scenarios where you actively prefer to use logging statements. Finally, while a third of the respondents didn't have a strong opinion about code performance profilers, those who had an opinion thought that they were mainly complex to use and time consuming. Three respondents in particular summarised this perfectly: "sometimes, they are rather complex to use, adding an additional time-sink to the process of trying to resolve the existing problem". "they are simple to use, but the results are hard to understand" "Complex to find the more advanced things, easy to find some low hanging fruit". These results confirmed my suspicions: Profilers are seen to be designed for more advanced users who can use them effectively and make sense of the results. I found yet more interesting information when I started comparing samples of "developers for whom performance is an important part of the dev cycle", with those "to whom performance is only looked at in times of crisis", and "developers to whom performance is not important, as long as the app works". See the three graphs below. Sample of developers to whom performance is an important part of the dev cycle: Sample of developers to whom performance is important only in times of crisis: Sample of developers to whom performance is not important, as long as the app works: As you can see, there is a strong correlation between the usage of a profiler and the importance attributed to performance: indeed, the more important performance is to a development team, the more likely they are to use a profiler. In addition, developers to whom performance is an important part of the dev cycle have a higher tendency to use a much wider range of methods for performance measurement and analysis. And, unsurprisingly, the less important performance is, the less varied the methods of measurement are. So all in all, to come back to my random questions: .NET developers do care about performance. Those who care the most use a wider range of performance measurement methods than those who care less. But overall, logging statements, performance counters and third party performance profilers are the performance measurement methods of choice for most developers. Finally, although most of you find code profilers complex to use, those of you who care the most about performance tend to use profilers more than those of you to whom performance is not so important.

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  • C# Performance Pitfall – Interop Scenarios Change the Rules

    - by Reed
    C# and .NET, overall, really do have fantastic performance in my opinion.  That being said, the performance characteristics dramatically differ from native programming, and take some relearning if you’re used to doing performance optimization in most other languages, especially C, C++, and similar.  However, there are times when revisiting tricks learned in native code play a critical role in performance optimization in C#. I recently ran across a nasty scenario that illustrated to me how dangerous following any fixed rules for optimization can be… The rules in C# when optimizing code are very different than C or C++.  Often, they’re exactly backwards.  For example, in C and C++, lifting a variable out of loops in order to avoid memory allocations often can have huge advantages.  If some function within a call graph is allocating memory dynamically, and that gets called in a loop, it can dramatically slow down a routine. This can be a tricky bottleneck to track down, even with a profiler.  Looking at the memory allocation graph is usually the key for spotting this routine, as it’s often “hidden” deep in call graph.  For example, while optimizing some of my scientific routines, I ran into a situation where I had a loop similar to: for (i=0; i<numberToProcess; ++i) { // Do some work ProcessElement(element[i]); } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } This loop was at a fairly high level in the call graph, and often could take many hours to complete, depending on the input data.  As such, any performance optimization we could achieve would be greatly appreciated by our users. After a fair bit of profiling, I noticed that a couple of function calls down the call graph (inside of ProcessElement), there was some code that effectively was doing: // Allocate some data required DataStructure* data = new DataStructure(num); // Call into a subroutine that passed around and manipulated this data highly CallSubroutine(data); // Read and use some values from here double values = data->Foo; // Cleanup delete data; // ... return bar; Normally, if “DataStructure” was a simple data type, I could just allocate it on the stack.  However, it’s constructor, internally, allocated it’s own memory using new, so this wouldn’t eliminate the problem.  In this case, however, I could change the call signatures to allow the pointer to the data structure to be passed into ProcessElement and through the call graph, allowing the inner routine to reuse the same “data” memory instead of allocating.  At the highest level, my code effectively changed to something like: DataStructure* data = new DataStructure(numberToProcess); for (i=0; i<numberToProcess; ++i) { // Do some work ProcessElement(element[i], data); } delete data; Granted, this dramatically reduced the maintainability of the code, so it wasn’t something I wanted to do unless there was a significant benefit.  In this case, after profiling the new version, I found that it increased the overall performance dramatically – my main test case went from 35 minutes runtime down to 21 minutes.  This was such a significant improvement, I felt it was worth the reduction in maintainability. In C and C++, it’s generally a good idea (for performance) to: Reduce the number of memory allocations as much as possible, Use fewer, larger memory allocations instead of many smaller ones, and Allocate as high up the call stack as possible, and reuse memory I’ve seen many people try to make similar optimizations in C# code.  For good or bad, this is typically not a good idea.  The garbage collector in .NET completely changes the rules here. In C#, reallocating memory in a loop is not always a bad idea.  In this scenario, for example, I may have been much better off leaving the original code alone.  The reason for this is the garbage collector.  The GC in .NET is incredibly effective, and leaving the allocation deep inside the call stack has some huge advantages.  First and foremost, it tends to make the code more maintainable – passing around object references tends to couple the methods together more than necessary, and overall increase the complexity of the code.  This is something that should be avoided unless there is a significant reason.  Second, (unlike C and C++) memory allocation of a single object in C# is normally cheap and fast.  Finally, and most critically, there is a large advantage to having short lived objects.  If you lift a variable out of the loop and reuse the memory, its much more likely that object will get promoted to Gen1 (or worse, Gen2).  This can cause expensive compaction operations to be required, and also lead to (at least temporary) memory fragmentation as well as more costly collections later. As such, I’ve found that it’s often (though not always) faster to leave memory allocations where you’d naturally place them – deep inside of the call graph, inside of the loops.  This causes the objects to stay very short lived, which in turn increases the efficiency of the garbage collector, and can dramatically improve the overall performance of the routine as a whole. In C#, I tend to: Keep variable declarations in the tightest scope possible Declare and allocate objects at usage While this tends to cause some of the same goals (reducing unnecessary allocations, etc), the goal here is a bit different – it’s about keeping the objects rooted for as little time as possible in order to (attempt) to keep them completely in Gen0, or worst case, Gen1.  It also has the huge advantage of keeping the code very maintainable – objects are used and “released” as soon as possible, which keeps the code very clean.  It does, however, often have the side effect of causing more allocations to occur, but keeping the objects rooted for a much shorter time. Now – nowhere here am I suggesting that these rules are hard, fast rules that are always true.  That being said, my time spent optimizing over the years encourages me to naturally write code that follows the above guidelines, then profile and adjust as necessary.  In my current project, however, I ran across one of those nasty little pitfalls that’s something to keep in mind – interop changes the rules. In this case, I was dealing with an API that, internally, used some COM objects.  In this case, these COM objects were leading to native allocations (most likely C++) occurring in a loop deep in my call graph.  Even though I was writing nice, clean managed code, the normal managed code rules for performance no longer apply.  After profiling to find the bottleneck in my code, I realized that my inner loop, a innocuous looking block of C# code, was effectively causing a set of native memory allocations in every iteration.  This required going back to a “native programming” mindset for optimization.  Lifting these variables and reusing them took a 1:10 routine down to 0:20 – again, a very worthwhile improvement. Overall, the lessons here are: Always profile if you suspect a performance problem – don’t assume any rule is correct, or any code is efficient just because it looks like it should be Remember to check memory allocations when profiling, not just CPU cycles Interop scenarios often cause managed code to act very differently than “normal” managed code. Native code can be hidden very cleverly inside of managed wrappers

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  • How often is software speed evident in the eyes of customers?

    - by rwong
    In theory, customers should be able to feel the software performance improvements from first-hand experience. In practice, sometimes the improvements are not noticible enough, such that in order to monetize from the improvements, it is necessary to use quotable performance figures in marketing in order to attract customers. We already know the difference between perceived performance (GUI latency, etc) and server-side performance (machines, networks, infrastructure, etc). How often is it that programmers need to go the extra length to "write up" performance analyses for which the audience is not fellow programmers, but managers and customers?

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  • Strange C++ performance difference?

    - by STingRaySC
    I just stumbled upon a change that seems to have counterintuitive performance ramifications. Can anyone provide a possible explanation for this behavior? Original code: for (int i = 0; i < ct; ++i) { // do some stuff... int iFreq = getFreq(i); double dFreq = iFreq; if (iFreq != 0) { // do some stuff with iFreq... // do some calculations with dFreq... } } While cleaning up this code during a "performance pass," I decided to move the definition of dFreq inside the if block, as it was only used inside the if. There are several calculations involving dFreq so I didn't eliminate it entirely as it does save the cost of multiple run-time conversions from int to double. I expected no performance difference, or if any at all, a negligible improvement. However, the perfomance decreased by nearly 10%. I have measured this many times, and this is indeed the only change I've made. The code snippet shown above executes inside a couple other loops. I get very consistent timings across runs and can definitely confirm that the change I'm describing decreases performance by ~10%. I would expect performance to increase because the int to double conversion would only occur when iFreq != 0. Chnaged code: for (int i = 0; i < ct; ++i) { // do some stuff... int iFreq = getFreq(i); if (iFreq != 0) { // do some stuff with iFreq... double dFreq = iFreq; // do some stuff with dFreq... } } Can anyone explain this? I am using VC++ 9.0 with /O2. I just want to understand what I'm not accounting for here.

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  • mysql settings - using the available resources

    - by Christian Payne
    I've got a lot of processing work I need to run on a mysql server. I've installed mysql 5.1.45-community on a Win 2007 64bit. Its running on a xenon, 3ghz 6 processors with 8 gig ram. It doesn't seem to matter what queries I run (or the number I run at the same time), when I look in task manager, I'll see one processor is out at 100%. The other 5 are idol. Memory is static at 1.54 gig. When I installed mysql, I used the wizard and selected the default "server" (not workstation) option. I feel like I should be getting more bang for my buck. Is there something else I should be monitoring or something I should change to use the other system resources???

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  • Business Analytics Monthly Index - October 2013

    - by p.anda
    Starting from this post we are providing a monthly summary. This provides a quick look at what has been happening in our Proactive Support Blog over the last month. Welcome to the first Monthly Index posting! Please let us know what you think and your suggestions are most welcome ... Oracle Business Analytics - Blog Monthly Index - October 2013 General Summary   Link   Introducing the Business Analytics Proactive Support Team - Outlining the Proactive Support Team function View Business Intelligence (BI) Summary   Link   OBIEE version 11.1.1.7.131017 has been released - Links to the latest OBIEE release information & downloads View Update to OBIEE Chrome 30 issue - Information for patch release for OBIEE Chrome issue View OBIEE problems with Chrome (update 30) - Highlight OBIEE 11.1.1.7.1 issue with latest Google Chrome update 30 View OBIEE 11.1.1.7.1 Sample App (V309 R2) released - Link and Information about the current OBIEE Sample App View OBIEE - APEX integration - An article discussing the OBIEE APEX Integration View Enterprise Performance Management (EPM) Summary   Link   Hyperion Smartview Assistance - Information & resources for Hyperion Smartview inc. OBIEE integration View Java update alert: issue with EAS 11.1.2.3 - Advisory of recent Java release and identified EAS problem + workaround View EPM troubleshooting Utilities - Outlining additional resources for troubleshooting EPM View EPM Infrastructure Tuning Guide released - Link to the EPM Infrastructure Tuning Guide (v.11.1.2.2 / 11.1.2.3) View Essbase - FormatString - Discussing Essbase "Typed Measures" View October EPM patch set updates released - Links to the October Patches for EPM View featuring - the DRM blog - Featuring one of our co-blogs that is very beneficial View Advisor Webcast Summary   Link   Advisor Webcast: EPM 11.1.2.3 new features in Financial Applications - Announcement for AW: New Features in FA   (recording post presentation via Doc ID 1456233.1 | Archived 2013) View Advisor Webcast: Troubleshooting Discoverer editions - AW: Discussing Discover Logs/Tracing/EUL Status Workbooks & more.   (recording post presentation via Doc ID 1456233.1 | Archived 2013) View

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  • SQL SERVER – Server Side Paging in SQL Server 2011 Performance Comparison

    - by pinaldave
    Earlier, I have written about SQL SERVER – Server Side Paging in SQL Server 2011 – A Better Alternative. I got many emails asking for performance analysis of paging. Here is the quick analysis of it. The real challenge of paging is all the unnecessary IO reads from the database. Network traffic was one of the reasons why paging has become a very expensive operation. I have seen many legacy applications where a complete resultset is brought back to the application and paging has been done. As what you have read earlier, SQL Server 2011 offers a better alternative to an age-old solution. This article has been divided into two parts: Test 1: Performance Comparison of the Two Different Pages on SQL Server 2011 Method In this test, we will analyze the performance of the two different pages where one is at the beginning of the table and the other one is at its end. Test 2: Performance Comparison of the Two Different Pages Using CTE (Earlier Solution from SQL Server 2005/2008) and the New Method of SQL Server 2011 We will explore this in the next article. This article will tackle test 1 first. Test 1: Retrieving Page from two different locations of the table. Run the following T-SQL Script and compare the performance. SET STATISTICS IO ON; USE AdventureWorks2008R2 GO DECLARE @RowsPerPage INT = 10, @PageNumber INT = 5 SELECT * FROM Sales.SalesOrderDetail ORDER BY SalesOrderDetailID OFFSET @PageNumber*@RowsPerPage ROWS FETCH NEXT 10 ROWS ONLY GO USE AdventureWorks2008R2 GO DECLARE @RowsPerPage INT = 10, @PageNumber INT = 12100 SELECT * FROM Sales.SalesOrderDetail ORDER BY SalesOrderDetailID OFFSET @PageNumber*@RowsPerPage ROWS FETCH NEXT 10 ROWS ONLY GO You will notice that when we are reading the page from the beginning of the table, the database pages read are much lower than when the page is read from the end of the table. This is very interesting as when the the OFFSET changes, PAGE IO is increased or decreased. In the normal case of the search engine, people usually read it from the first few pages, which means that IO will be increased as we go further in the higher parts of navigation. I am really impressed because using the new method of SQL Server 2011,  PAGE IO will be much lower when the first few pages are searched in the navigation. Test 2: Retrieving Page from two different locations of the table and comparing to earlier versions. In this test, we will compare the queries of the Test 1 with the earlier solution via Common Table Expression (CTE) which we utilized in SQL Server 2005 and SQL Server 2008. Test 2 A : Page early in the table -- Test with pages early in table USE AdventureWorks2008R2 GO DECLARE @RowsPerPage INT = 10, @PageNumber INT = 5 ;WITH CTE_SalesOrderDetail AS ( SELECT *, ROW_NUMBER() OVER( ORDER BY SalesOrderDetailID) AS RowNumber FROM Sales.SalesOrderDetail PC) SELECT * FROM CTE_SalesOrderDetail WHERE RowNumber >= @PageNumber*@RowsPerPage+1 AND RowNumber <= (@PageNumber+1)*@RowsPerPage ORDER BY SalesOrderDetailID GO SET STATISTICS IO ON; USE AdventureWorks2008R2 GO DECLARE @RowsPerPage INT = 10, @PageNumber INT = 5 SELECT * FROM Sales.SalesOrderDetail ORDER BY SalesOrderDetailID OFFSET @PageNumber*@RowsPerPage ROWS FETCH NEXT 10 ROWS ONLY GO Test 2 B : Page later in the table -- Test with pages later in table USE AdventureWorks2008R2 GO DECLARE @RowsPerPage INT = 10, @PageNumber INT = 12100 ;WITH CTE_SalesOrderDetail AS ( SELECT *, ROW_NUMBER() OVER( ORDER BY SalesOrderDetailID) AS RowNumber FROM Sales.SalesOrderDetail PC) SELECT * FROM CTE_SalesOrderDetail WHERE RowNumber >= @PageNumber*@RowsPerPage+1 AND RowNumber <= (@PageNumber+1)*@RowsPerPage ORDER BY SalesOrderDetailID GO SET STATISTICS IO ON; USE AdventureWorks2008R2 GO DECLARE @RowsPerPage INT = 10, @PageNumber INT = 12100 SELECT * FROM Sales.SalesOrderDetail ORDER BY SalesOrderDetailID OFFSET @PageNumber*@RowsPerPage ROWS FETCH NEXT 10 ROWS ONLY GO From the resultset, it is very clear that in the earlier case, the pages read in the solution are always much higher than the new technique introduced in SQL Server 2011 even if we don’t retrieve all the data to the screen. If you carefully look at both the comparisons, the PAGE IO is much lesser in the case of the new technique introduced in SQL Server 2011 when we read the page from the beginning of the table and when we read it from the end. I consider this as a big improvement as paging is one of the most used features for the most part of the application. The solution introduced in SQL Server 2011 is very elegant because it also improves the performance of the query and, at large, the database. Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: SQL, SQL Authority, SQL Optimization, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • SQL Server – Learning SQL Server Performance: Indexing Basics – Interview of Vinod Kumar by Pinal Dave

    - by pinaldave
    Recently I just wrote a blog post on about Learning SQL Server Performance: Indexing Basics and I received lots of request that if we can share some insight into the course. Every single time when Performance is discussed, Indexes are mentioned along with it. In recent times, data and application complexity is continuously growing.  The demand for faster query response, performance, and scalability by organizations is increasing and developers and DBAs need to now write efficient code to achieve this. When we developed the course – we made sure that this course remains practical and demo heavy instead of just theories on this subject. Vinod Kumar and myself we often thought about this and realized that practical understanding of the indexes is very important. One can not master every single aspects of the index. However there are some minimum expertise one should gain if performance is one of the concern. Here is 200 seconds interview of Vinod Kumar I took right after completing the course. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Index, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology, Video

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  • BI&EPM in Focus June 2014

    - by Mike.Hallett(at)Oracle-BI&EPM
    Applications Webcast Centre – A Library of Discussion and Research for Best Practice: Achieving Reliable Planning, Budgeting and Forecasting Talent Analytics and Big Data – Is HR ready for the challenge Enterprise Data – The cost of non-quality Customers Josephine Niemiec from ADP talks about Oracle Hyperion Workforce Planning at Collaborate 2014 (link) Video Chris Nelms from Ameren talks about Oracle BI Spend and Procurement Analytics at Collaborate 2014 (link) Video Leggett & Platt Leverages Oracle Hyperion EPM and Demantra (link) Video Pella Corporation Accelerates Close Cycle by Cutting Time for Financial Consolidation from Three Days to Less Than One Day (link) Secretaría General de Administración de Justicia en España Enhances Citizen Services with Near-Real-Time Business Intelligence Gleaned from 500 Databases  (link) Bellco Credit Union Speeds Budget Development by 30%—Gains Insight into Specific Branch and Financial Product Profitability  (link)  Video QDQ media Speeds up Financial Reporting by 24x, Gains Business Agility, and Integrates Seamlessly into Corporate Accounting System  (link) Westfield Group Maximizes Shopping Mall Revenue, Shortens Year-End Financial Consolidation by 75%  (link)  IL&FS Transportation Networks Shortens Financial Consolidation and Reporting Cycle by Eight Days, Gains In-Depth Insight into Business Performance   (link) Angel Trains Optimizes Rail Operations for Purchasing, Sourcing, and Project Management to Meet Challenges of Evolving Rail Industry  (link) Enterprise Performance Management June 11, at Oracle Utrecht, NL: Morning session: Explore Planning and Budgeting in the Cloud (link) June 12, London: PureApps Presents: Best Practice Financial Consolidation and Reporting Workshop (link) July 3, Koln: Oracle Hyperion Business Analytics Roundtable (link) Blog: What's Your Tax Strategy? Automate the Operational Transfer Pricing Process (link) YouTube Video: Automate Tax Reporting with Oracle Hyperion Tax Provision (link) YouTube Video: Introducing Oracle Hyperion Planning’s Tablet Optimized Interface (link) OracleEPMWebcasts @ YouTube (link) Partner webcasts: Wednesday, 4 June, 5.00 GMT - Case Study:  Lessons Learned from Edgewater Ranzal's Internal Implementation of Oracle Planning & Budgeting Cloud Service (PBCS) - Learn more and register here! Thursday, 5 June, 4.00 GMT - Achieving Accountable Care Using Oracle Technology - Learn more and register here! Tuesday, 17 June, 4.00 GMT - Optimizing Performance for Oracle EPM Systems - Learn more and register here! Oracle University Blog: The Coolest Features Available with Oracle Hyperion 11.1.2.3 – Training from OU to help you to best use them (link) Support: Proactive Support: EPM Hyperion Planning 11.1.2.3.500 Using RMI Service [Blog] Proactive Support: Planning and Budgeting Cloud Service Videos (link) Planning and Budgeting Cloud Service (PBCS) 11.1.2.3.410 Patch Bundle [Doc ID 1670981.1] Hyperion Analytic Provider Services 11.1.2.2.106 Patch Set Update [Doc ID 1667350.1] Hyperion Essbase 11.1.2.2.106 Patch Set Update [Doc ID 1667346.1] Hyperion Essbase Administration Services 11.1.2.2.106 Patch Set Update [Doc ID 1667348.1] Hyperion Essbase Studio 11.1.2.2.106 Patch Set Update [Doc ID 1667329.1] Hyperion Smart View 11.1.2.5.210 Patch Set Update [Doc ID 1669427.1] Using HPCM, HSF or DRM Communities (link) Business Intelligence June 12, Birmingham, UK: Oracle Big Data at Work - Use Cases and Architecture (link) June 17, London: Oracle at Cloud & Big Data World Forums (link) June 17, Partner Webcast: Transform your Planning Capabilities with Peloton's CloudAccelerator for Oracle PBCS (link) June 19, London: Oracle at the Whitehall Media Big Data Analytics Conference and Exhibition (link) June 19, London: Partner Event - Agile BI Conference by Peak Indicators [link] June 25, Munich: Oracle Special Day auf der TDWI 2014 Konferenz (link) July 15, London: Oracle Endeca Information Discovery Workshop (link) July 16, London: BI Applications Workshop – Financial Analytics & Procurement Analytics (link) July 17, London: BI Applications Workshop – HR Analytics (link) Milan, Italy: L’Osservatorio Big Data Analytics & Business Intelligence with Politecnico di Milano (link) OBIA 11.1.1.8.1 - Now Available [Blog] What’s New in OBIA 11.1.1.8.1 [Blog] BI Blog: A closer look at Oracle BI Applications 11.1.1.8.1 release (link) Press Release: BI Applications Deliver Greater Insight into Talent and Procurement (link) Support Blog: OBIA 11.1.1.8.1 Upgrade Guide & Documentation (link) YouTube Video: Glenn Hoormann of Ludus talks to us about Oracle Business Intelligence and ERP at Collaborate 2014 (Link) YouTube Video: Performance Architects talks about key BI and Mobile trends, including Endeca at Collaborate 2014 (link) Big Data Blog: 3 Keys for Using Big Data Effectively for Enhanced Customer Experience (link) Big Data Lite Demo VM 3.0 Now Available on OTN BI Blog: Data Relationship Governance - Workflow in a Bottle (link) MDM Blog: Register for Product Data Management Weekly Cloudcasts (link) MDM Blog: Improve your Customer Experience with High Quality Information (link) MDM Blog: Big Data Challenges & Considerations (link) Oracle University: Oracle BI Applications 11g: Implementation using ODI (link) Proactive Support: Monthly Index [Blog] My Oracle Support: Partner Accreditation for Business Analytics Support [Blog] OBIEE 11g Test-to-Production (T2P) / Clone Procedures Guide [Blog] Normal 0 false false false EN-GB X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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  • Understanding Performance Profiling Targets

    In this sample chapter from his upcoming book, Paul Glavich explains performance metrics and walks us through the steps needed to establish meaningful performance targets. He covers many metrics such as "time to first byte" and explains why you should add some contingency into your estimated performance requirements.

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  • System Wide Performance Sanity Check Procedures

    - by user702295
    Do you need to boost your overall implementation performance? Do you need a direction to pinpoint possible performance opportunities? Are you looking for a general performance guide? Try MOS note 69565.1.  This paper describes a holistic methodology that defines a systematic approach to resolve complex Application performance problems.  It has been successfully used on many critical accounts.  The 'end-to-end' tuning approach encompasses the client, network and database and has proven far more effective than isolated tuning exercises.  It has been used to define and measure targets to ensure success.  Even though it was checked for relevance on 13-Oct-2008, the procedure is still very valuable. Regards!  

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  • Building Performance Metrics into ASP.NET MVC Applications

    When you're instrumenting an ASP.NET MVC or Web API application to monitor its performance while it is running, it makes sense to use custom performance counters.There are plenty of tools available that read performance counter data, report on it and create alerts based on it. You can then plot application metrics against all sorts of server and workstation metrics.This way, there will always be the right data to guide your tuning efforts.

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  • HPCM 11.1.2.x - Outline Optimisation for Calculation Performance

    - by Jane Story
    When an HPCM application is first created, it is likely that you will want to carry out some optimisation on the HPCM application’s Essbase outline in order to improve calculation execution times. There are several things that you may wish to consider. Because at least one dense dimension for an application is required to deploy from HPCM to Essbase, “Measures” and “AllocationType”, as the only required dimensions in an HPCM application, are created dense by default. However, for optimisation reasons, you may wish to consider changing this default dense/sparse configuration. In general, calculation scripts in HPCM execute best when they are targeting destinations with one or more dense dimensions. Therefore, consider your largest target stage i.e. the stage with the most assignment destinations and choose that as a dense dimension. When optimising an outline in this way, it is not possible to have a dense dimension in every target stage and so testing with the dense/sparse settings in every stage is the key to finding the best configuration for each individual application. It is not possible to change the dense/sparse setting of individual cloned dimensions from EPMA. When a dimension that is to be repeated in multiple stages, and therefore cloned, is defined in EPMA, every instance of that dimension has the same storage setting. However, such manual changes may not be preserved in all cases. Please see below for full explanation. However, once the application has been deployed from EPMA to HPCM and from HPCM to Essbase, it is possible to make the dense/sparse changes to a cloned dimension directly in Essbase. This can be done by editing the properties of the outline in Essbase Administration Services (EAS) and manually changing the dense/sparse settings of individual dimensions. There are two methods of deployment from HPCM to Essbase from 11.1.2.1. There is a “replace” deploy method and an “update” deploy method: “Replace” will delete the Essbase application and replace it. If this method is chosen, then any changes made directly on the Essbase outline will be lost. If you use the update deploy method (with or without archiving and reloading data), then the Essbase outline, including any manual changes you have made (i.e. changes to dense/sparse settings of the cloned dimensions), will be preserved. Notes If you are using the calculation optimisation technique mentioned in a previous blog to calculate multiple POVs (https://blogs.oracle.com/pa/entry/hpcm_11_1_2_optimising) and you are calculating all members of that POV dimension (e.g. all months in the Period dimension) then you could consider making that dimension dense. Always review Block sizes after all changes! The maximum block size recommended in the Essbase Database Administrator’s Guide is 100k for 32 bit Essbase and 200k for 64 bit Essbase. However, calculations may perform better with a larger than recommended block size provided that sufficient memory is available on the Essbase server. Test different configurations to determine the most optimal solution for your HPCM application. Please note that this blog article covers HPCM outline optimisation only. Additional performance tuning can be achieved by methodically testing database settings i.e data cache, index cache and/or commit block settings. For more information on Essbase tuning best practices, please review these items in the Essbase Database Administrators Guide. For additional information on the commit block setting, please see the previous PA blog article https://blogs.oracle.com/pa/entry/essbase_11_1_2_commit

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  • Performance Monitor (perfmon) showing some unusual statistics

    - by Param
    Recently i have thought to used perfmon.msc to monitor process utilization of remote computer. But i am faced with some peculiar situation. Please see the below Print-screen I have selected three computer -- QDIT049, QDIT199V6 & QNIVN014. Please observer the processor Time % which i have marked in Red Circle. How it can be more than 100%.? The Total Processor Time can never go above 100%, am i right? If i am right? than why the processor time % is showing 200% Please let me know, how it is possible or where i have done mistake. Thanks & Regards, Param

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