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  • Windows media scaling/interpolation method

    - by MichaelH
    Usually in Windows, if videos or other media is upscaled from a certain resolution to a higher resolution (e.g. "monitor size"), a bilinear filtering algorithm or similar is used, such that the upscaled material doesn't look blocky. On my system however, the used interpolation algorithm changed from 'bilinear' to 'nearest neighbor' at some point, with the effect that upscaled videos (e.g. viewed in MPC or WMP, and also Skype video streams) and games (e.g. from PopCap) appear rather blocky. Not sure what the common factor between those is, could be DirectShow(?). I am not aware of having changed any setting that could have affected this state, in fact I am not even aware such a setting exists. I'm guesing that some installed software must have changed something on my computer. My computer is running Windows 7, but I had already experienced the same effect on an XP machine some while ago, where it changed back again to the more pleasing bilinear interpolation after a while, as magically as the first time. What could be wrong with this installation, and how can I change this upscaling interpolation behavior?

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  • How to force mdadm to stop RAID5 array?

    - by lucek
    I have /dev/md127 RAID5 array that consisted of four drives. I managed to hot remove them from the array and currently /dev/md127 does not have any drives: cat /proc/mdstat Personalities : [linear] [multipath] [raid0] [raid1] [raid6] [raid5] [raid4] [raid10] md0 : active raid1 sdd1[0] sda1[1] 304052032 blocks super 1.2 [2/2] [UU] md1 : active raid0 sda5[1] sdd5[0] 16770048 blocks super 1.2 512k chunks md127 : active raid5 super 1.2 level 5, 512k chunk, algorithm 2 [4/0] [____] unused devices: <none> and mdadm --detail /dev/md127 /dev/md127: Version : 1.2 Creation Time : Thu Sep 6 10:39:57 2012 Raid Level : raid5 Array Size : 8790402048 (8383.18 GiB 9001.37 GB) Used Dev Size : 2930134016 (2794.39 GiB 3000.46 GB) Raid Devices : 4 Total Devices : 0 Persistence : Superblock is persistent Update Time : Fri Sep 7 17:19:47 2012 State : clean, FAILED Active Devices : 0 Working Devices : 0 Failed Devices : 0 Spare Devices : 0 Layout : left-symmetric Chunk Size : 512K Number Major Minor RaidDevice State 0 0 0 0 removed 1 0 0 1 removed 2 0 0 2 removed 3 0 0 3 removed I've tried to do mdadm --stop /dev/md127 but: mdadm --stop /dev/md127 mdadm: Cannot get exclusive access to /dev/md127:Perhaps a running process, mounted filesystem or active volume group? I made sure that it's unmounted, umount -l /dev/md127 and confirmed that it indeed is unmounted: umount /dev/md127 umount: /dev/md127: not mounted I've tried to zero superblock of each drive and I get (for each drive): mdadm --zero-superblock /dev/sde1 mdadm: Unrecognised md component device - /dev/sde1 Here's output of lsof|grep md127: lsof|grep md127 md127_rai 276 root cwd DIR 9,0 4096 2 / md127_rai 276 root rtd DIR 9,0 4096 2 / md127_rai 276 root txt unknown /proc/276/exe What else can I do? LVM is not even installed so it can't be a factor.

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  • Strange network connectivity problem

    - by Marc
    Here is my network connectivity: cable modem | |(WAN) wrt54g (default gateway, 192.168.1.1) -- earth |(LAN) | Simple Switch1 | | | | | SimpleSwitch2- neptune | | | | mars mercury | |- venus | |- laptop | saturn (Windows AD DC) simpleSwitch2 was hanging off the wrt54g. I moved it to SW1 during troubleshooting. Nothing described below was any different. earth is connected via wireless to the wrt54g. I can ping from laptop to mars, neptune & mercury. I can ping from earth to venus, saturn & laptop. However, pinging mars, mercury or neptune from earth gives the following result. Pinging mars.XXX.XXX [192.168.1.105] with 32 bytes of data: Reply from 192.168.1.122: Destination host unreachable. Reply from 192.168.1.122: Destination host unreachable. Reply from 192.168.1.122: Destination host unreachable. Reply from 192.168.1.122: Destination host unreachable. Ping statistics for 192.168.1.105: Packets: Sent = 4, Received = 4, Lost = 0 (0% loss), .122 is the address of the machine from which I am pinging. earth is a Vista machine. Windows firewall is off. saturn is my DNS & DHCP server. Can anyone give me any ideas what the h*ll is going on? Clearly the topology is a factor And yes, I am a space geek.

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  • Recommended drive encryption solution

    - by Chris Driver
    Hello, I will soon be purchasing a number of laptops running Windows 7 for our mobile staff. Due to the nature of our business I will need drive encryption. Windows BitLocker seems the obvious choice, but it looks like I need to purchase either Windows 7 Enterprise or Ultimate editions to get it. Can anyone offer suggestions on the best course of action: a) Use BitLocker, bite the bullet and pay to upgrade to Enterprise/Ultimate b) Pay for another 3rd party drive encryption product that is cheaper (suggestions appreciated) c) Use a free drive encryption product such as TrueCrypt Ideally I am also interested in 'real world' experience from people who are using drive encryption software and any pitfalls to look out for. Many thanks in advance... UPDATE Decided to go with TrueCrypt for the following reasons: a) The product has a good track record b) I am not managing a large quantity of laptops so integration with Active Directory, Management consoles etc is not a huge benefit c) Although eks did make a good point about Evil Maid (EM) attacks, our data is not that desirable to consider it a major factor d) The cost (free) is a big plus but not the primary motivator The next problem I face is imaging (Acronis/Ghost/..) encrypted drives will not work unless I perform sector-by-sector imaging. That means an 80Gb encrypted partition creates an 80Gb image file :(

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  • Low-profile, PCI Express, x1 video card with VGA-out?

    - by Dandy
    I just bought an Acer Aspire EasyStore H340 system (http://us.acer.com/acer/productv.do?LanguageISOCtxParam=en&kcond61e.c2att101=54825&sp=page16e&ctx2.c2att1=25&link=ln438e&CountryISOCtxParam=US&ctx1g.c2att92=450&ctx1.att21k=1&CRC=936243954) It comes with Windows Home Server, which I don't particularly care for (too dumbed down for my liking)--I bought the box mainly for the form factor, and intend to install Server 2008 on it and have it run as a small domain controller. The geniuses at Acer however went out of their way to ensure you can only run Home Server--you can only connect to it via the Home Server Connector software, as it has no video-out whatsoever (so essentially, there's no way to even get into the BIOS). It only has a low-profile, PCI Express x1 slot. It turns out to be way harder than I thought to locate a video card that both has an x1 connector, and is low-profile (I'd really rather not snip the bracket at the back just so it'll fit the case). I know they're out there, and I've seen one with Display Port outputs, but I don't have a monitor with this connection. So to reiterate, it needs to be: - x1 connector - low profile - VGA out (though DVI would be okay; I have some spare adapters) Can anyone recommend anything at all?

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  • Can't start Windows 7 after cloning HDD

    - by Paul
    Brief description: cloned HDD1 - HDD2 HDD1 partition 1 boots HDD1 partition 2 boots HDD2 partition 1 boots HDD2 partition 2 doesn't boot Windows, but is bootable in general Now verbosely: In all the cases computer is the same. I have two Windows 7 installations on HDD1 - both are booting fine. I choose between them using standard Windows 7 boot loader menu. Technically there are 4 partitions: 100 MB Boot loader partition (active), Windows 7 copy 1 (25 GB), Windows 7 copy 2 (150 GB) and Working partition. All are primary. In past few days I tried to clone the whole HDD1 to HDD2 of the same size (but 2,5 inch form factor) as is using Minitool Partition wizard. Everything has been copied, all files are accessible, no faults in file system structure, even boot loader wasn't damaged and I hadn't to repair it. But I can boot only first installation of Windows 7 (it boots without issues). When I choose the second installation, I get immediately a completely black screen without any texts, cursors and other data. HDD isn't accessed after that. This black screen is sensitive to Ctrl-Alt-Delete which causes computer reboot. I did some experimenting: Installed Windows 7 to that partition - it booted fine. Then I renamed "Windows" to "Windows.old" and copied Windows directory from HDD1 as it was, using Far Manager, and got the same troubles - black screen. (Of course I performed renaming and copying from other copy of Windows). So, it seems that problems are inside this installation of Windows, somewhere in its files.

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  • At what point does the performance gap between GPU & CPU become so great that the CPU is holding back a system?

    - by Matthew Galloway
    I know that generally speaking for gaming performance the GPU is the primary factor which holds back performance, with everything else such as RAM/motherboard/PSU/CPU being secondary in importance to the graphics card. But at some point the other components ARE going to be significant in holding back the whole system! For instance nobody would be silly enough to play modern games with 512MB RAM and the very latest graphics cards (such as an HD7970) as I bet the performance increase over such a system with only 512MB but a mid range card would be non-existent! Thus it would be a "waste" for such a person to buy any high end graphics card without resolving first the system's other problems. The same point applies to other components, such as if it only had a Pentium II a current high end graphics card would be wasted on it! So my core question is how do you determine at what point for your system is spending on extra GPU power be completely "wasted"? (also, a slightly more nuanced question is trying work out at what point might the extra graphics power not be "wasted" but would be "sub optimal" value for money, when the expenditure should then be split around graphics card and other components. As obviously a gamer shouldn't always just spend on upgrading the graphics card! But needs to balance it out)

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  • Slower/cached Linux file system required

    - by Chopper3
    I know it sounds odd but I need a slower or cached filesystem. I have a lot of firewalls that are syslog'ing their data to a pair of Linux VMs which write these files to their 'local' (actually FC SAN attached) ext3-formatted disks and also forward the messages to our Splunk servers. The problem is that the syslog server is writing these syslog messages as hundreds, sometimes thousands, of tiny ~4k writes per second back to our FC SAN - which can handle this workload right now but our FW traffic's going to be growing by at least a factor of 5000% (really) in coming months and that'll be a pain for the SAN, I want to fix the root cause before it's a problem. So I need some help figuring out a way of getting these writes cached or held-off in some way from the 'physical' disks so that the VMs fire off larger, but less frequent, writes - there's no way of avoiding these writes but there's no need for it to do so many tiny ones. I've looked at the various ext3 options, setting noatime and nodiratime but that's not made much of a dent in the problem. Obviously I'm investigating other file systems but thought I'd throw this out in case others have the same problem in the future. Oh and I can't just forward these messages to Splunk, our firewall team insist they're in their original format for diag purposes.

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  • Why is my rsync so slow?

    - by iblue
    My Laptop and my workstation are both connected to a Gigabit Switch. Both are running Linux. But when I copy files with rsync, it performs badly. I get about 22 MB/s. Shouldn't I theoretically get about 125 MB/s? What is the limiting factor here? EDIT: I conducted some experiments. Write performance on the laptop The laptop has a xfs filesystem with full disk encryption. It uses aes-cbc-essiv:sha256 cipher mode with 256 bits key length. Disk write performance is 58.8 MB/s. iblue@nerdpol:~$ LANG=C dd if=/dev/zero of=test.img bs=1M count=1024 1073741824 Bytes (1.1 GB) copied, 18.2735 s, 58.8 MB/s Read performance on the workstation The files I copied are on a software RAID-5 over 5 HDDs. On top of the raid is a lvm. The volume itself is encrypted with the same cipher. The workstation has a FX-8150 cpu that has a native AES-NI instruction set which speeds up encryption. Disk read performance is 256 MB/s (cache was cold). iblue@raven:/mnt/bytemachine/imgs$ dd if=backup-1333796266.tar.bz2 of=/dev/null bs=1M 10213172008 bytes (10 GB) copied, 39.8882 s, 256 MB/s Network performance I ran iperf between the two clients. Network performance is 939 Mbit/s iblue@raven $ iperf -c 94.135.XXX ------------------------------------------------------------ Client connecting to 94.135.XXX, TCP port 5001 TCP window size: 23.2 KByte (default) ------------------------------------------------------------ [ 3] local 94.135.XXX port 59385 connected with 94.135.YYY port 5001 [ ID] Interval Transfer Bandwidth [ 3] 0.0-10.0 sec 1.09 GBytes 939 Mbits/sec

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  • Inexpensive (used) hardware for Xen virtualization test?

    - by Jason Antman
    Virtualization is one of the areas where I could really use some experience. I also run quite a few services (web, mail, dns, etc.) out of my home. Since most of my hardware is getting a bit old (I'm running on stuff that was surplused years ago...) I decided that it's about time I start renewing some things, and also play around with virtualization a bit more. My plan is to setup a SAN box (simple iSCSI target, relatively inexpensive gigE switch), get a pair (for starters) of new servers, and start building some new stuff with Xen, specifically planning on playing with live migration and full virtualization. Does anyone have recommendations for used, older "servers" (really anything in a rack-mount form factor, I'm not too worried about things like iLO/iLOM for the test nodes) that support VT-x/AMD-V? I'm biased to HP, but it looks like they didn't make Proliants with VT-x/Vanderpool processors until G6 (for the DL360) or so, which is way out of my price range. I'm looking in the sub-$300 range (or less, if possible), used, probably Ebay. Any recommendations are greatly appreciated. Edit:And, to catch this before the comments start coming - these are personal systems. I have first-generation Proliants still in use (I got them as corporate surplus in 05, they've been running since then, and probably were running since 01 or 02 prior to being sold). I don't need anything shiny and new - I've got a bunch of old boxes, at least one complete replacement for every model in use, and that's fine for me (and easy on the wallet).

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  • Comparing 128MB GeForce 8600GT and 512MB Radeon X1650

    - by Synetech inc.
    Hi, I'm trying to determine which is the better of these two video cards: 128MB Nvidia GeForce 8600GT card while the other has a 512MB ATI Radeon X1650 card. Both cards are the upper-level mid-range versions of their respective series. On the one hand, the ATI has substantially more VRAM, but the Nvidia supports D3D 10 and SM4.0 as opposed to D3D 9.0c/SM3.0 that the ATI supports. Also, I have always heard better things about Nvidia cards compared to ATI cards. I'm trying to find some advice on which one is better, but I can't find any actual comparisons or anything for these specific cards (the comparisons I can find are only similar ones like the X1650 Pro or 8600GT PCI-E), so I figure that what I need to know is whether the extra VRAM is that important. Looking at the ATI table and the Nvidia table seems to indicate that the Nvidia is better, but then again, the Nvidia table also says that the GeForce 8600GT is a PCI-E card with at least 256MB even though the card in question is an AGP with 128MB. (:-?) (It looks like the ATI card is not supported in Windows 7 while the Nvidia card is, which I suppose is also a factor, though not quite as immediately relevant as performance.) Any ideas? Thanks a lot.

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  • Hourly SQL Server 2005 Slowness (Possibly caused by SYSTEM)

    - by Zorlack
    We're trying to diagnose the cause of slowness on our Database server. We're running the latest rev SQL Server 2005 on Windows 2008x64. The behavior that we're seeing is this: We see the SYSTEM process spike one of the CPUs for about 2 minutes, during this time SQL server slows down by a factor of 10. The slowness lasts until SYSTEM is done, then in an hour everything starts again. During these slowdowns disk writes don't spike, paging doesn't spike, the only noticeable precursor we see is that SYSTEM maxes out one of the sixteen (HT)CPUs. Note that this doesn't happen at the top of the hour, it just happens once an hour, and it shifts a bit depending on the length of the incident. At the moment this is causing intermittent slowdowns, but when the server is really busy it can cause Worker Thread starvation. The server is a Dual Quad Dell R710 with 96GB of RAM and RAID10 data/log disks. Has anyone experienced this kind of problem? Does anyone know where we should look? Edit: SQL Server Version is 9.0.4035

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  • Excel 2013: VLookup for cells that share common characters within cell but are both surrounded by other non-matching text

    - by Kylie Z
    I am pulling information from 2 different databases. The databases use different naming protocol for the exact same item/specified placement however they always have certain components of the name in common. The length of these names can vary throughout each of the databases (see the pic below) so I don't think counting characters would help. I need a formula (probably a vlookup/match/index of some sort) to pair up the names from the 2nd database name with the 1st database name and then place it in the adjacent column(B2) on sheet1. Until this point I've had to match, copy, and paste the pairs manually from one sheet to the other and it takes FOREVER. Any help would be much appreciated!!! For example: Database1 Name in Sheet1,A2: 728x90_Allstate_629930_ALL_JUL_2013_MASSACHUSETTSAUTO_BAN_MSN_ROSMSNAUTOSMASSACHUSETTS_7.2.13 Database2 Name in Sheet2, A13: BAN_MSN_ROSMSNAUTOSMASSACHUSETTS728X90_728X90_DFA Common Factors: "ROSMSNAUTOSMASSACHUSETTS" & "728X90" Therefore A2 and A13 need to pair up In some cases, Database 1 and 2 will have a common name aspect but sizing will be different. They need to have BOTH aspects in common in order to be paired so I would NOT want the below example to pair up. Database1 Name in Sheet1,A2: 728x90_Allstate_629930_ALL_JUL_2013_MASSACHUSETTSAUTO_BAN_MSN_ROSMSNAUTOSMASSACHUSETTS_7.2.13 Database2 Name in Sheet2, A12: BAN_MSN_ROSMSNAUTOSMASSACHUSETTS300X250_300X250_DFA Common Factor: Only "ROSMSNAUTOSMASSACHUSETTS" matches. "728x90" is not equal to "300X250" - Sizing is different so they should not be paired.

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  • Strange focus bug in Firefox (chrome vs content)

    - by Marius
    Here is a strange bug I'm experiencing in Firefox: I can only use either the chrome, or the content, not both at the same time! For example, I can click on tabs and the toolbar icons, focus the search bar and write in it as well as the address bar, but if I try to click on anything in the content (eg a link or a textfield to write something), then nothing happens. The mouse pointer doesn't change either, it just stays a pointer when I hover over things, and the links I hover don't react either. But if I alt-tab to another program (or click on it in the taskbar), then back to Firefox, then I can use the area that I click on. So if I click somewhere on the webpage to get focus back to Firefox, then I can click on links and write things (like this text), but I cannot click on tabs or refresh or anything else in the chrome. I can't even click on the minimize, restore and close icons! To get focus back on the chrome I have to alt-tab to another program, and then click on the chrome to get back to Firefox to be able to use the chrome again. I've tried closing and starting it again, but the bug is still there. I have experienced this before, but I don't remember what I did to fix it. This bug seems to occur sometimes when I wake up the computer from standby, but I leave by computer in standby all the time, so that is not the only factor.

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  • Markus Zirn, "Big Data with CEP and SOA" @ SOA, Cloud &amp; Service Technology Symposium 2012

    - by JuergenKress
    ORACLE PROMOTIONAL DISCOUNT FOR EXCLUSIVE ORACLE DISCOUNT, ENTER PROMO CODE: DJMXZ370 Early-Bird Registration is Now Open with Special Pricing! Register before July 1, 2012 to qualify for discounts. Visit the Registration page for details. The International SOA, Cloud + Service Technology Symposium is a yearly event that features the top experts and authors from around the world, providing a series of keynotes, talks, demonstrations, and panels, as well as training and certification workshops - all dedicated to empowering IT professionals to realize modern service technologies and practices in the real world. Click here for a two-page printable conference overview (PDF). Big Data with CEP and SOA - September 25, 2012 - 14:15 Speaker: Markus Zirn, Oracle and Baz Kuthi, Avocent The "Big Data" trend is driving new kinds of IT projects that process machine-generated data. Such projects store and mine using Hadoop/ Map Reduce, but they also analyze streaming data via event-driven patterns, which can be called "Fast Data" complementary to "Big Data". This session highlights how "Big Data" and "Fast Data" design patterns can be combined with SOA design principles into modern, event-driven architectures. We will describe specific architectures that combines CEP, Distributed Caching, Event-driven Network, SOA Composites, Application Development Framework, as well as Hadoop. Architecture patterns include pre-processing and filtering event streams as close as possible to the event source, in memory master data for event pattern matching, event-driven user interfaces as well as distributed event processing. Focus is on how "Fast Data" requirements are elegantly integrated into a traditional SOA architecture. Markus Zirn is Vice President of Product Management covering Oracle SOA Suite, SOA Governance, Application Integration Architecture, BPM, BPM Solutions, Complex Event Processing and UPK, an end user learning solution. He is the author of “The BPEL Cookbook” (rated best book on Services Oriented Architecture in 2007) as well as “Fusion Middleware Patterns”. Previously, he was a management consultant with Booz Allen & Hamilton’s High Tech practice in Duesseldorf as well as San Francisco and Vice President of Product Marketing at QUIQ. Mr. Zirn holds a Masters of Electrical Engineering from the University of Karlsruhe and is an alumnus of the Tripartite program, a joint European degree from the University of Karlsruhe, Germany, the University of Southampton, UK, and ESIEE, France. KEYNOTES & SPEAKERS More than 80 international subject matter experts will be speaking at the Symposium. Below are confirmed keynotes and speakers so far. Over 50% of the agenda has not yet been finalized. Many more speakers to come. View the partial program calendars on the Conference Agenda page. CONFERENCE THEMES & TRACKS Cloud Computing Architecture & Patterns New SOA & Service-Orientation Practices & Models Emerging Service Technology Innovation Service Modeling & Analysis Techniques Service Infrastructure & Virtualization Cloud-based Enterprise Architecture Business Planning for Cloud Computing Projects Real World Case Studies Semantic Web Technologies (with & without the Cloud) Governance Frameworks for SOA and/or Cloud Computing Projects Service Engineering & Service Programming Techniques Interactive Services & the Human Factor New REST & Web Services Tools & Techniques Oracle Specialized SOA & BPM Partners Oracle Specialized partners have proven their skills by certifications and customer references. To find a local Specialized partner please visit http://solutions.oracle.com SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit  www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Technorati Tags: Markus Zirn,SOA Symposium,Thomas Erl,SOA Community,Oracle SOA,Oracle BPM,BPM Community,OPN,Jürgen Kress

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  • Grouping data in LINQ with the help of group keyword

    - by vik20000in
    While working with any kind of advanced query grouping is a very important factor. Grouping helps in executing special function like sum, max average etc to be performed on certain groups of data inside the date result set. Grouping is done with the help of the Group method. Below is an example of the basic group functionality.     int[] numbers = { 5, 4, 1, 3, 9, 8, 6, 7, 2, 0 };         var numberGroups =         from num in numbers         group num by num % 5 into numGroup         select new { Remainder = numGroup.Key, Numbers = numGroup };  In the above example we have grouped the values based on the reminder left over when divided by 5. First we are grouping the values based on the reminder when divided by 5 into the numgroup variable.  numGroup.Key gives the value of the key on which the grouping has been applied. And the numGroup itself contains all the records that are contained in that group. Below is another example to explain the same. string[] words = { "blueberry", "abacus", "banana", "apple", "cheese" };         var wordGroups =         from num in words         group num by num[0] into grp         select new { FirstLetter = grp.Key, Words = grp }; In the above example we are grouping the value with the first character of the string (num[0]). Just like the order operator the group by clause also allows us to write our own logic for the Equal comparison (That means we can group Item by ignoring case also by writing out own implementation). For this we need to pass an object that implements the IEqualityComparer<string> interface. Below is an example. public class AnagramEqualityComparer : IEqualityComparer<string> {     public bool Equals(string x, string y) {         return getCanonicalString(x) == getCanonicalString(y);     }      public int GetHashCode(string obj) {         return getCanonicalString(obj).GetHashCode();     }         private string getCanonicalString(string word) {         char[] wordChars = word.ToCharArray();         Array.Sort<char>(wordChars);         return new string(wordChars);     } }  string[] anagrams = {"from   ", " salt", " earn", "  last   ", " near "}; var orderGroups = anagrams.GroupBy(w => w.Trim(), new AnagramEqualityComparer()); Vikram  

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  • Beyond Chatting: What ‘Social’ Means for CRM

    - by Divya Malik
    A guest post by Steve Diamond, Senior Director, Outbound Product Management, Oracle In a recent post on the Oracle Applications blog, my colleague Steve Boese asked three questions related to the widespread popularity and incredibly rapid growth of Facebook, Pinterest, and LinkedIn. Steve then addressed the many applications for collaborative solutions in the area of Human Capital Management. So, in turning to a conversation about Customer Relationship Management (CRM) and Sales Force Automation (SFA), let me ask you one simple question. How many sales people, particularly at business-to-business companies, consistently meet or beat their quotas in their roles by working alone, with no collaboration among fellow sales people, sales executives, employees in product groups, in service, in Legal, third-party partners, etc.? Hello? Is anybody out there? What’s that cricket noise I hear? That’s correct. Nobody! When it comes to Sales, introverts arguably have a distinct disadvantage. While it’s certainly a truism that “success” in most professional endeavors requires working with people, it’s a mandatory success factor in Sales. This fact became abundantly clear to me one early morning in the late 1990s when I joined the former Hyperion Solutions (now part of Oracle) and attended a Sales Award Ceremony. The Head of Sales at that time gave out dozens of awards – none of them to individuals and all of them to TEAMS of individuals. That’s how it works in Sales. Your colleagues help provide you with product intelligence and competitive intelligence. They help you build the best presentations, pitches, and proposals. They help you develop the most killer RFPs. They align you with the best product people to ensure you’re matching the best products for the opportunity and join you in critical meetings. They help knock the socks of your prospects in “bake off” demo’s. They bring in the best partners to either add complementary products to your opportunity or help you implement a solution. They work with you as a collective team. And so how is all this collaboration STILL typically done today? Through email. And yet we all silently or not so silently grimace about email. It’s relatively siloed. It’s painful to search. It’s difficult to align by topic. And it’s nearly impossible to re-trace meaningful and helpful conversations that occurred among a group or a team at some point in history. This is where social networking for Sales comes into play. It’s about PURPOSEFUL social networking versus chattering. What is purposeful social networking? It’s collaboration that’s built around opportunities, accounts, and contacts. It’s collaboration that delivers valuable context – on the target company, and on key competitors – just to name two examples. It’s collaboration that can scale to provide coaching for larger numbers of sales representatives, both for general purposes, and as we’ve largely discussed here, for specific ‘deals.’ And it’s collaboration that allows a team of people to collectively edit and iterate on a document like an RFP or a soon-to-be killer presentation that is maintained in a central repository, with no time wasted searching for it or worrying about version control. But lest we get carried away, let’s remember that collaboration “happens” among sales people whether there is specialized software to support it or not. The human practice of sales has not changed much in the last 80 to 90 years. Collaboration has been a mainstay during this entire time. But what social networking in general, and Oracle Social Networking in particular delivers, is the opportunity for sales teams to dramatically increase their effectiveness and efficiency – to identify and close more high quality and lucrative opportunities more quickly. For most sales organizations, this is how the game is won. To learn more please visit Oracle Social Network and Oracle Fusion Customer Relationship Management on oracle.com

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  • BYOD is not a fashion statement; it’s an architectural shift - by Indus Khaitan

    - by Greg Jensen
    Ten years ago, if you asked a CIO, “how mobile is your enterprise?”. The answer would be, “100%, we give Blackberry to all our employees.”Few things have changed since then: 1.    Smartphone form-factors have matured, especially after the launch of iPhone. 2.    Rapid growth of productivity applications and services that enable creation and consumption of digital content 3.    Pervasive mobile data connectivityThere are two threads emerging from the change. Users are rapidly mingling their personas of an individual as well as an employee. In the first second, posting a picture of a fancy dinner on Facebook, to creating an expense report for the same meal on the mobile device. Irrespective of the dual persona, a user’s personal and corporate lives intermingle freely on a single hardware and more often than not, it’s an employees personal smartphone being used for everything. A BYOD program enables IT to “control” an employee owned device, while enabling productivity. More often than not the objective of BYOD programs are financial; instead of the organization, an employee pays for it.  More than a fancy device, BYOD initiatives have become sort of fashion statement, of corporate productivity, of letting employees be in-charge and a show of corporate empathy to not force an archaic form-factor in a world of new device launches every month. BYOD is no longer a means of effectively moving expense dollars and support costs. It does not matter who owns the device, it has to be protected.  BYOD brings an architectural shift.  BYOD is an architecture, which assumes that every device is vulnerable, not just what your employees have brought but what organizations have purchased for their employees. It's an architecture, which forces us to rethink how to provide productivity without comprising security.Why assume that every device is vulnerable? Mobile operating systems are rapidly evolving with leading upgrade announcement every other month. It is impossible for IT to catch-up. More than that, user’s are savvier than earlier.  While IT could install locks at the doors to prevent intruders, it may degrade productivity—which incentivizes user’s to bypass restrictions. A rapidly evolving mobile ecosystem have moving parts which are vulnerable. Hence, creating a mobile security platform, which uses the fundamental blocks of BYOD architecture such as identity defragmentation, IT control and data isolation, ensures that the sprawl of corporate data is contained. In the next post, we’ll dig deeper into the BYOD architecture. Normal 0 false false false EN-US JA 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-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Cambria","serif"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;}

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  • Beyond Chatting: What ‘Social’ Means for CRM

    - by Divya Malik
    A guest post by Steve Diamond, Senior Director, Outbound Product Management, Oracle In a recent post on the Oracle Applications blog, my colleague Steve Boese asked three questions related to the widespread popularity and incredibly rapid growth of Facebook, Pinterest, and LinkedIn. Steve then addressed the many applications for collaborative solutions in the area of Human Capital Management. So, in turning to a conversation about Customer Relationship Management (CRM) and Sales Force Automation (SFA), let me ask you one simple question. How many sales people, particularly at business-to-business companies, consistently meet or beat their quotas in their roles by working alone, with no collaboration among fellow sales people, sales executives, employees in product groups, in service, in Legal, third-party partners, etc.? Hello? Is anybody out there? What’s that cricket noise I hear? That’s correct. Nobody! When it comes to Sales, introverts arguably have a distinct disadvantage. While it’s certainly a truism that “success” in most professional endeavors requires working with people, it’s a mandatory success factor in Sales. This fact became abundantly clear to me one early morning in the late 1990s when I joined the former Hyperion Solutions (now part of Oracle) and attended a Sales Award Ceremony. The Head of Sales at that time gave out dozens of awards – none of them to individuals and all of them to TEAMS of individuals. That’s how it works in Sales. Your colleagues help provide you with product intelligence and competitive intelligence. They help you build the best presentations, pitches, and proposals. They help you develop the most killer RFPs. They align you with the best product people to ensure you’re matching the best products for the opportunity and join you in critical meetings. They help knock the socks of your prospects in “bake off” demo’s. They bring in the best partners to either add complementary products to your opportunity or help you implement a solution. They work with you as a collective team. And so how is all this collaboration STILL typically done today? Through email. And yet we all silently or not so silently grimace about email. It’s relatively siloed. It’s painful to search. It’s difficult to align by topic. And it’s nearly impossible to re-trace meaningful and helpful conversations that occurred among a group or a team at some point in history. This is where social networking for Sales comes into play. It’s about PURPOSEFUL social networking versus chattering. What is purposeful social networking? It’s collaboration that’s built around opportunities, accounts, and contacts. It’s collaboration that delivers valuable context – on the target company, and on key competitors – just to name two examples. It’s collaboration that can scale to provide coaching for larger numbers of sales representatives, both for general purposes, and as we’ve largely discussed here, for specific ‘deals.’ And it’s collaboration that allows a team of people to collectively edit and iterate on a document like an RFP or a soon-to-be killer presentation that is maintained in a central repository, with no time wasted searching for it or worrying about version control. But lest we get carried away, let’s remember that collaboration “happens” among sales people whether there is specialized software to support it or not. The human practice of sales has not changed much in the last 80 to 90 years. Collaboration has been a mainstay during this entire time. But what social networking in general, and Oracle Social Networking in particular delivers, is the opportunity for sales teams to dramatically increase their effectiveness and efficiency – to identify and close more high quality and lucrative opportunities more quickly. For most sales organizations, this is how the game is won. To learn more please visit Oracle Social Network and Oracle Fusion Customer Relationship Management on oracle.com

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  • SQL SERVER – CXPACKET – Parallelism – Advanced Solution – Wait Type – Day 7 of 28

    - by pinaldave
    Earlier we discussed about the what is the common solution to solve the issue with CXPACKET wait time. Today I am going to talk about few of the other suggestions which can help to reduce the CXPACKET wait. If you are going to suggest that I should focus on MAXDOP and COST THRESHOLD – I totally agree. I have covered them in details in yesterday’s blog post. Today we are going to discuss few other way CXPACKET can be reduced. Potential Reasons: If data is heavily skewed, there are chances that query optimizer may estimate the correct amount of the data leading to assign fewer thread to query. This can easily lead to uneven workload on threads and may create CXPAKCET wait. While retrieving the data one of the thread face IO, Memory or CPU bottleneck and have to wait to get those resources to execute its tasks, may create CXPACKET wait as well. Data which is retrieved is on different speed IO Subsystem. (This is not common and hardly possible but there are chances). Higher fragmentations in some area of the table can lead less data per page. This may lead to CXPACKET wait. As I said the reasons here mentioned are not the major cause of the CXPACKET wait but any kind of scenario can create the probable wait time. Best Practices to Reduce CXPACKET wait: Refer earlier article regarding MAXDOP and Cost Threshold. De-fragmentation of Index can help as more data can be obtained per page. (Assuming close to 100 fill-factor) If data is on multiple files which are on multiple similar speed physical drive, the CXPACKET wait may reduce. Keep the statistics updated, as this will give better estimate to query optimizer when assigning threads and dividing the data among available threads. Updating statistics can significantly improve the strength of the query optimizer to render proper execution plan. This may overall affect the parallelism process in positive way. Bad Practice: In one of the recent consultancy project, when I was called in I noticed that one of the ‘experienced’ DBA noticed higher CXPACKET wait and to reduce them, he has increased the worker threads. The reality was increasing worker thread has lead to many other issues. With more number of the threads, more amount of memory was used leading memory pressure. As there were more threads CPU scheduler faced higher ‘Context Switching’ leading further degrading performance. When I explained all these to ‘experienced’ DBA he suggested that now we should reduce the number of threads. Not really! Lower number of the threads may create heavy stalling for parallel queries. I suggest NOT to touch the setting of number of the threads when dealing with CXPACKET wait. Read all the post in the Wait Types and Queue series. Note: The information presented here is from my experience and I no way claim it to be accurate. I suggest reading book on-line for further clarification. All the discussion of Wait Stats over here is generic and it varies by system to system. You are recommended to test this on development server before implementing to production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: DMV, Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • It’s the thought that counts…

    - by Tony Davis
    I recently finished editing a book called Tribal SQL, and it was a fantastic experience. It’s a community-sourced book written by first-timers. Fifteen previously unpublished authors contributed one chapter each, with the seemingly simple remit to write about “what makes them passionate about working with SQL Server, something that all SQL Server DBAs and developers really need to know”. Sure, some of the writing skills were a bit rusty as one would expect from busy people, but the ideas and energy were sheer nectar. Any seasoned editor can deal easily with the problem of fixing the output of untrained writers. We can handle with the occasional technical error too, which is why we have technical reviewers. The editor’s real job is to hone the clarity and flow of ideas, making the author’s knowledge and experience accessible to as many others as possible. What the writer needs to bring, on the other hand, is enthusiasm, attention to detail, common sense, and a sense of the person behind the writing. If any of these are missing, no editor can fix it. We can see these essential characteristics in many of the more seasoned and widely-published writers about SQL. To illustrate what I mean by enthusiasm, or passion, take a look at the work of Laerte Junior or Fabiano Amorim. Both authors have English as a second language, but their energy, enthusiasm, sheer immersion in a technology and thirst to know more, drives them, with a little editorial help, to produce articles of far more practical value than one can find in the “manuals”. There’s the attention to detail of the likes of Jonathan Kehayias, or Paul Randal. Read their work and one begins to understand the knowledge coupled with incredible rigor, the willingness to bend and test every piece of advice offered to make sure it’s correct, that marks out the very best technical writing. There’s the common sense of someone like Louis Davidson. All writers, including Louis, like to stretch the grey matter of their readers, but some of the most valuable writing is that which takes a complicated idea, or distils years of experience, and expresses it in a way that sounds like simple common sense. There’s personality and humor. Contrary to what you may have been told, they can and do mix well with technical writing, as long as they don’t become a distraction. Read someone like Rodney Landrum, or Phil Factor, for numerous examples of articles that teach hard technical lessons but also make you smile at least twice along the way. Writing well is not easy and it takes a certain bravery to expose your ideas and knowledge for dissection by others, but it doesn’t mean that writing should be the preserve only of those trained in the art, or best left to the MVPs. I believe that Tribal SQL is testament to the fact that if you have passion for what you do, and really know your topic then, with a little editorial help, you can write, and people will learn from what you have to say. You can read a sample chapter, by Mark Rasmussen, in this issue of Simple-Talk and I hope you’ll consider checking out the book (if you needed any further encouragement, it’s also for a good cause, Computers4Africa). Cheers, Tony  

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  • A temporary disagreement

    - by Tony Davis
    Last month, Phil Factor caused a furore amongst some MVPs with an article that attempted to offer simple advice to developers regarding the use of table variables, versus local and global temporary tables, in their code. Phil makes clear that the table variables do come with some fairly major limitations.no distribution statistics, no parallel query plans for queries that modify table variables.but goes on to suggest that for reasonably small-scale strategic uses, and with a bit of due care and testing, table variables are a "good thing". Not everyone shares his opinion; in fact, I imagine he was rather aghast to learn that there were those felt his article was akin to pulling the pin out of a grenade and tossing it into the database; table variables should be avoided in almost all cases, according to their advice, in favour of temp tables. In other words, a fairly major feature of SQL Server should be more-or-less 'off limits' to developers. The problem with temp tables is that, because they are scoped either in the procedure or the connection, it is easy to allow them to hang around for too long, eating up precious memory and bulking up the shared tempdb database. Unless they are explicitly dropped, global temporary tables, and local temporary tables created within a connection rather than within a stored procedure, will persist until the connection is closed or, with connection pooling, until the connection is reused. It's also quite common with ASP.NET applications to have connection leaks, as Bill Vaughn explains in his chapter in the "SQL Server Deep Dives" book, meaning that the web page exits without closing the connection object, maybe due to an error condition. This will then hang around in the heap for what might be hours before picked up by the garbage collector. Table variables are much safer in this regard, since they are batch-scoped and so are cleaned up automatically once the batch is complete, which also means that they are intuitive to use for the developer because they conform to scoping rules that are closer to those in procedural code. On the surface then, an ideal way to deal with issues related to tempdb memory hogging. So why did Phil qualify his recommendation to use Table Variables? This is another of those cases where, like scalar UDFs and table-valued multi-statement UDFs, developers can sometimes get into trouble with a relatively benign-looking feature, due to way it's been implemented in SQL Server. Once again the biggest problem is how they are handled internally, by the SQL Server query optimizer, which can make very poor choices for JOIN orders and so on, in the absence of statistics, especially when joining to tables with highly-skewed data. The resulting execution plans can be horrible, as will be the resulting performance. If the JOIN is to a large table, that will hurt. Ideally, Microsoft would simply fix this issue so that developers can't get burned in this way; they've been around since SQL Server 2000, so Microsoft has had a bit of time to get it right. As I commented in regard to UDFs, when developers discover issues like with such standard features, the database becomes an alien planet to them, where death lurks around each corner, and they continue to avoid these "killer" features years after the problems have been eventually resolved. In the meantime, what is the right approach? Is it to say "hammers can kill, don't ever use hammers", or is it to try to explain, as Phil's article and follow-up blog post have tried to do, what the feature was intended for, why care must be applied in its use, and so enable developers to make properly-informed decisions, without requiring them to delve deep into the inner workings of SQL Server? Cheers, Tony.

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  • How to Set Up Your Enterprise Social Organization

    - by Mike Stiles
    The rush for business organizations to establish, grow, and adopt social was driven out of necessity and inevitability. The result, however, was a sudden, booming social presence creating touch points with customers, partners and influencers, but without any corporate social organization or structure in place to effectively manage it. Even today, many business leaders remain uncertain as to how to corral this social media thing so that it makes sense for their enterprise. Imagine their panic when they hear one of the most beneficial approaches to corporate use of social involves giving up at least some hierarchical control and empowering employees to publicly engage customers. And beyond that, they should also be empowered, regardless of their corporate status, to engage and collaborate internally, spurring “off the grid” innovation. An HBR blog points out that traditionally, enterprise organizations function from the top down, and employees work end-to-end, structured around business processes. But the social enterprise opens up structures that up to now have not exactly been embraced by turf-protecting executives and managers. The blog asks, “What if leaders could create a future where customers, associates and suppliers are no longer seen as objects in the system but as valued sources of innovation, ideas and energy?” What if indeed? The social enterprise activates internal resources without the usual obsession with position. It is the dawn of mass collaboration. That does not, however, mean this mass collaboration has to lead to uncontrolled chaos. In an extended interview with Oracle, Altimeter Group analyst Jeremiah Owyang and Oracle SVP Reggie Bradford paint a complete picture of today’s social enterprise, including internal organizational structures Altimeter Group has seen emerge. One sign of a mature social enterprise is the establishing of a social Center of Excellence (CoE), which serves as a hub for high-level social strategy, training and education, research, measurement and accountability, and vendor selection. This CoE is led by a corporate Social Strategist, most likely from a Marketing or Corporate Communications background. Reporting to them are the Community Managers, the front lines of customer interaction and engagement; business unit liaisons that coordinate the enterprise; and social media campaign/product managers, social analysts, and developers. With content rising as the defining factor for social success, Altimeter also sees a Content Strategist position emerging. Across the enterprise, Altimeter has seen 5 organizational patterns. Watching the video will give you the pros and cons of each. Decentralized - Anyone can do anything at any time on any social channel. Centralized – One central groups controls all social communication for the company. Hub and Spoke – A centralized group, but business units can operate their own social under the hub’s guidance and execution. Most enterprises are using this model. Dandelion – Each business unit develops their own social strategy & staff, has its own ability to deploy, and its own ability to engage under the central policies of the CoE. Honeycomb – Every employee can do social, but as opposed to the decentralized model, it’s coordinated and monitored on one platform. The average enterprise has a whopping 178 social accounts, nearly ¼ of which are usually semi-idle and need to be scrapped. The last thing any C-suite needs is to cope with fragmented technologies, solutions and platforms. It’s neither scalable nor strategic. The prepared, effective social enterprise has a technology partner that can quickly and holistically integrate emerging platforms and technologies, such that whatever internal social command structure you’ve set up can continue efficiently executing strategy without skipping a beat. @mikestiles

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  • SQL SERVER – ASYNC_IO_COMPLETION – Wait Type – Day 11 of 28

    - by pinaldave
    For any good system three things are vital: CPU, Memory and IO (disk). Among these three, IO is the most crucial factor of SQL Server. Looking at real-world cases, I do not see IT people upgrading CPU and Memory frequently. However, the disk is often upgraded for either improving the space, speed or throughput. Today we will look at another IO-related wait type. From Book On-Line: Occurs when a task is waiting for I/Os to finish. ASYNC_IO_COMPLETION Explanation: Any tasks are waiting for I/O to finish. If by any means your application that’s connected to SQL Server is processing the data very slowly, this type of wait can occur. Several long-running database operations like BACKUP, CREATE DATABASE, ALTER DATABASE or other operations can also create this wait type. Reducing ASYNC_IO_COMPLETION wait: When it is an issue related to IO, one should check for the following things associated to IO subsystem: Look at the programming and see if there is any application code which processes the data slowly (like inefficient loop, etc.). Note that it should be re-written to avoid this  wait type. Proper placing of the files is very important. We should check the file system for proper placement of the files – LDF and MDF on separate drive, TempDB on another separate drive, hot spot tables on separate filegroup (and on separate disk), etc. Check the File Statistics and see if there is a higher IO Read and IO Write Stall SQL SERVER – Get File Statistics Using fn_virtualfilestats. Check event log and error log for any errors or warnings related to IO. If you are using SAN (Storage Area Network), check the throughput of the SAN system as well as configuration of the HBA Queue Depth. In one of my recent projects, the SAN was performing really badly and so the SAN administrator did not accept it. After some investigations, he agreed to change the HBA Queue Depth on the development setup (test environment). As soon as we changed the HBA Queue Depth to quite a higher value, there was a sudden big improvement in the performance. It is very likely to happen that there are no proper indexes on the system and yet there are lots of table scans and heap scans. Creating proper index can reduce the IO bandwidth considerably. If SQL Server can use appropriate cover index instead of clustered index, it can effectively reduce lots of CPU, Memory and IO (considering cover index has lesser columns than cluster table and all other; it depends upon the situation). You can refer to the following two articles I wrote that talk about how to optimize indexes: Create Missing Indexes Drop Unused Indexes Checking Memory Related Perfmon Counters SQLServer: Memory Manager\Memory Grants Pending (Consistent higher value than 0-2) SQLServer: Memory Manager\Memory Grants Outstanding (Consistent higher value, Benchmark) SQLServer: Buffer Manager\Buffer Hit Cache Ratio (Higher is better, greater than 90% for usually smooth running system) SQLServer: Buffer Manager\Page Life Expectancy (Consistent lower value than 300 seconds) Memory: Available Mbytes (Information only) Memory: Page Faults/sec (Benchmark only) Memory: Pages/sec (Benchmark only) Checking Disk Related Perfmon Counters Average Disk sec/Read (Consistent higher value than 4-8 millisecond is not good) Average Disk sec/Write (Consistent higher value than 4-8 millisecond is not good) Average Disk Read/Write Queue Length (Consistent higher value than benchmark is not good) Read all the post in the Wait Types and Queue series. Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All the discussions of Wait Stats in this blog are generic and vary from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • SQL SERVER – IO_COMPLETION – Wait Type – Day 10 of 28

    - by pinaldave
    For any good system three things are vital: CPU, Memory and IO (disk). Among these three, IO is the most crucial factor of SQL Server. Looking at real-world cases, I do not see IT people upgrading CPU and Memory frequently. However, the disk is often upgraded for either improving the space, speed or throughput. Today we will look at an IO-related wait types. From Book On-Line: Occurs while waiting for I/O operations to complete. This wait type generally represents non-data page I/Os. Data page I/O completion waits appear as PAGEIOLATCH_* waits. IO_COMPLETION Explanation: Any tasks are waiting for I/O to finish. This is a good indication that IO needs to be looked over here. Reducing IO_COMPLETION wait: When it is an issue concerning the IO, one should look at the following things related to IO subsystem: Proper placing of the files is very important. We should check the file system for proper placement of files – LDF and MDF on a separate drive, TempDB on another separate drive, hot spot tables on separate filegroup (and on separate disk),etc. Check the File Statistics and see if there is higher IO Read and IO Write Stall SQL SERVER – Get File Statistics Using fn_virtualfilestats. Check event log and error log for any errors or warnings related to IO. If you are using SAN (Storage Area Network), check the throughput of the SAN system as well as the configuration of the HBA Queue Depth. In one of my recent projects, the SAN was performing really badly so the SAN administrator did not accept it. After some investigations, he agreed to change the HBA Queue Depth on development (test environment) set up and as soon as we changed the HBA Queue Depth to quite a higher value, there was a sudden big improvement in the performance. It is very possible that there are no proper indexes in the system and there are lots of table scans and heap scans. Creating proper index can reduce the IO bandwidth considerably. If SQL Server can use appropriate cover index instead of clustered index, it can effectively reduce lots of CPU, Memory and IO (considering cover index has lesser columns than cluster table and all other; it depends upon the situation). You can refer to the two articles that I wrote; they are about how to optimize indexes: Create Missing Indexes Drop Unused Indexes Checking Memory Related Perfmon Counters SQLServer: Memory Manager\Memory Grants Pending (Consistent higher value than 0-2) SQLServer: Memory Manager\Memory Grants Outstanding (Consistent higher value, Benchmark) SQLServer: Buffer Manager\Buffer Hit Cache Ratio (Higher is better, greater than 90% for usually smooth running system) SQLServer: Buffer Manager\Page Life Expectancy (Consistent lower value than 300 seconds) Memory: Available Mbytes (Information only) Memory: Page Faults/sec (Benchmark only) Memory: Pages/sec (Benchmark only) Checking Disk Related Perfmon Counters Average Disk sec/Read (Consistent higher value than 4-8 millisecond is not good) Average Disk sec/Write (Consistent higher value than 4-8 millisecond is not good) Average Disk Read/Write Queue Length (Consistent higher value than benchmark is not good) Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All the discussions of Wait Stats in this blog are generic and vary from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Types, SQL White Papers, T SQL, Technology

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