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  • 16TB Volumes and SNMP On Windows

    - by John K
    As volumes larger than 16TB became more common, it was recognized that the 32 bit value used to report disk size and usage within the standard "HOST-RESOURCES" MIB in SNMP was not large enough to report the proper disk size. Net-SNMP seems to have addressed this issue by simply manipulating the value of "AllocationUnits" to maintain a 32 bit value for disk utilization (since total disk size/usage is equal to the 32 bit space value times the allocation unit), to allow for the calculation of a volume larger than 8/16TB. Presuming you don't have any reporting interest in the allocation unit, this seems like a fine solution. https://bugzilla.redhat.com/show_bug.cgi?id=654384 Window's built in SNMP service, however, seems to continue to suffer from this error, simply reporting the modulo of the used/assigned disk space, resulting in inaccurate disk size reporting. Is there a way to enable Windows to correctly report disk usage for volumes over 16TB? We attempted to simply install Net-SNMP 5.5 x64 and disable Windows SNMP service entirely, however this unfortunately did not fix our issue. I've seen people in the Cacti community mention simply scripting out a solution. Unfortunately, we're using Observium for quick and basic systems monitoring. If the issue can't be correct on the Window's side, can Observium be made to report custom MIBs?

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  • Why would VMWare to go defunct? How to recover from/prevent it?

    - by Josh
    I am running VMWare Server 2.0.2 (Build 203138) on a dual core Intel i5 with Ubuntu Server 10.04 LTS system (kernel 2.6.32-22-server #33-Ubuntu SMP). Disk Subsystem is a software RAID5 array. The system has been set up for a little over a week. For the past 5 days I have been running at leat 3 VMs (Linux and a variety of Windows OSes) with no issues whatsoever. But while I was installing Linux onto a new VM, suddenly all VMs became unresponsive, including the one I was installing to. I could not log in to the VMWare Management Interface, and the system was somewhat unresponsive via SSH. When I looked at top, I saw: top - 16:14:51 up 6 days, 1:49, 8 users, load average: 24.29, 24.33 17.54 Tasks: 203 total, 7 running, 195 sleeping, 0 stopped, 1 zombie Cpu(s): 0.2%us, 25.6%sy, 0.0%ni, 74.3%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 8056656k total, 5927580k used, 2129076k free, 20320k buffers Swap: 7811064k total, 240216k used, 7570848k free, 5045884k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 21549 root 39 19 0 0 0 Z 100 0.0 15:02.44 [vmware-vmx] <defunct> 2115 root 20 0 0 0 0 S 1 0.0 170:32.08 [vmware-rtc] 2231 root 21 1 1494m 126m 100m S 1 1.6 892:58.05 /usr/lib/vmware/bin/vmware-vmx -# product=2; 2280 jnet 20 0 19320 1164 800 R 0 0.0 30:04.55 top 12236 root 20 0 833m 41m 34m S 0 0.5 88:34.24 /usr/lib/vmware/bin/vmware-vmx -# product=2; 1 root 20 0 23704 1476 920 S 0 0.0 0:00.80 /sbin/init 2 root 20 0 0 0 0 S 0 0.0 0:00.01 [kthreadd] 3 root RT 0 0 0 0 S 0 0.0 0:00.00 [migration/0] 4 root 20 0 0 0 0 S 0 0.0 0:00.84 [ksoftirqd/0] 5 root RT 0 0 0 0 S 0 0.0 0:00.00 [watchdog/0] 6 root RT 0 0 0 0 S 0 0.0 0:00.00 [migration/1] The VMWare process for the virtual machine I was installing into became a zombie. Yet, it was still consuming 100% of the CPU time on one of the cores, and I couldn't reach it or any other virtual machines. (I was logged in to one virtual machine over SSH, another via X11, and a third via VNC. All three connections died). When I ran ps -ef and similar commands, I found that the defunct vmware-vmx process had it's parent PID set to init (1). I also used lsof -p 21549 and found that the defunct process had no open files. Yet it was using 100% of CPU time... I was unable to kill any vmware-vmx processes, including the defunct one, even with kill -9. As a last resort to resolve the situation I tried to reboot the box, however shutdown, halt, reboot, and init 6 all failed to reboot/shutdown, even when given appropriate --force settings. ControlAltDel produced a message about rebooting on the console, but the system would not reboot. I had to hard power-cycle the box to resolve the situation. (See my other question, Should I worry about the integrity of my linux software RAID5 after a crash or kernel panic?) What would cause a scenario like this? What else could I have done to resolve it besides a hard reboot? What can I do to prevent such a situation in the future?

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  • Linux software RAID6: rebuild slow

    - by Ole Tange
    I am trying to find the bottleneck in the rebuilding of a software raid6. ## Pause rebuilding when measuring raw I/O performance # echo 1 > /proc/sys/dev/raid/speed_limit_min # echo 1 > /proc/sys/dev/raid/speed_limit_max ## Drop caches so that does not interfere with measuring # sync ; echo 3 | tee /proc/sys/vm/drop_caches >/dev/null # time parallel -j0 "dd if=/dev/{} bs=256k count=4000 | cat >/dev/null" ::: sdbd sdbc sdbf sdbm sdbl sdbk sdbe sdbj sdbh sdbg 4000+0 records in 4000+0 records out 1048576000 bytes (1.0 GB) copied, 7.30336 s, 144 MB/s [... similar for each disk ...] # time parallel -j0 "dd if=/dev/{} skip=15000000 bs=256k count=4000 | cat >/dev/null" ::: sdbd sdbc sdbf sdbm sdbl sdbk sdbe sdbj sdbh sdbg 4000+0 records in 4000+0 records out 1048576000 bytes (1.0 GB) copied, 12.7991 s, 81.9 MB/s [... similar for each disk ...] So we can read sequentially at 140 MB/s in the outer tracks and 82 MB/s in the inner tracks on all the drives simultaneously. Sequential write performance is similar. This would lead me to expect a rebuild speed of 82 MB/s or more. # echo 800000 > /proc/sys/dev/raid/speed_limit_min # echo 800000 > /proc/sys/dev/raid/speed_limit_max # cat /proc/mdstat md2 : active raid6 sdbd[10](S) sdbc[9] sdbf[0] sdbm[8] sdbl[7] sdbk[6] sdbe[11] sdbj[4] sdbi[3](F) sdbh[2] sdbg[1] 27349121408 blocks super 1.2 level 6, 128k chunk, algorithm 2 [9/8] [UUU_UUUUU] [=========>...........] recovery = 47.3% (1849905884/3907017344) finish=855.9min speed=40054K/sec But we only get 40 MB/s. And often this drops to 30 MB/s. # iostat -dkx 1 sdbc 0.00 8023.00 0.00 329.00 0.00 33408.00 203.09 0.70 2.12 1.06 34.80 sdbd 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sdbe 13.00 0.00 8334.00 0.00 33388.00 0.00 8.01 0.65 0.08 0.06 47.20 sdbf 0.00 0.00 8348.00 0.00 33388.00 0.00 8.00 0.58 0.07 0.06 48.00 sdbg 16.00 0.00 8331.00 0.00 33388.00 0.00 8.02 0.71 0.09 0.06 48.80 sdbh 961.00 0.00 8314.00 0.00 37100.00 0.00 8.92 0.93 0.11 0.07 54.80 sdbj 70.00 0.00 8276.00 0.00 33384.00 0.00 8.07 0.78 0.10 0.06 48.40 sdbk 124.00 0.00 8221.00 0.00 33380.00 0.00 8.12 0.88 0.11 0.06 47.20 sdbl 83.00 0.00 8262.00 0.00 33380.00 0.00 8.08 0.96 0.12 0.06 47.60 sdbm 0.00 0.00 8344.00 0.00 33376.00 0.00 8.00 0.56 0.07 0.06 47.60 iostat says the disks are not 100% busy (but only 40-50%). This fits with the hypothesis that the max is around 80 MB/s. Since this is software raid the limiting factor could be CPU. top says: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 38520 root 20 0 0 0 0 R 64 0.0 2947:50 md2_raid6 6117 root 20 0 0 0 0 D 53 0.0 473:25.96 md2_resync So md2_raid6 and md2_resync are clearly busy taking up 64% and 53% of a CPU respectively, but not near 100%. The chunk size (128k) of the RAID was chosen after measuring which chunksize gave the least CPU penalty. If this speed is normal: What is the limiting factor? Can I measure that? If this speed is not normal: How can I find the limiting factor? Can I change that?

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  • My computer freezes irregurarly

    - by Manhim
    My computer started to freeze at irregular times for 3 weeks now. What happens My computer freezes, the video stops. (No graphic glitches, it just stops) Sound keeps playing up to some time (Usually 10-30 seconds) then stops playing. Sometimes, randomly, the screen on my G-15 keyboard flickers and I see caracters not at the right places. Usually happens for about 1-2 seconds and a bit before my computer freezes. I have to keep the power button pressed for 4 seconds to shut my computer down. I still hear my hard drives and fans working. Sometimes it works with no problems for a full day, some other times it just keeps freezing each time I restart my computer and I have to leave it for the rest of the day. Sometimes my mouse freezes for a fraction of a second (Like 0.01 to 0.2 seconds) quite randomly, usually before it freezes. No errors spotted by the "Action center" unlike when I had problems with my last video card on this system (Driver errors). My G-15 LCD screen also freezes. What I did so far I have had similar problems in the past and I had changed my hard drive (It was faulty), so I tested my software RAID-0 array and it was faulty so I changed it. (I reinstalled Windows 7 with this part). I also tested with unplugging my secondary hard drive. My CPU was running at about 100 degree Celsius, I removed the dust between the fans and the heatsink and it's now between 50-60. I ran a CPU stress-test and it didn't freeze during the tests (using Prime95 on all cores) Ran a memory test (using memtest86+) for a single pass and there were no errors. Ran a GPU stress test with ati-tools and furmark and it didn't freeze during the tests. (No artefacts either) I had troubles with my graphic card when I got it, but I think that it got fixed with a driver update. I checked the voltages in my BIOS setup and they all seemed ok (±0.2 I think). I have ran on the computer without problems with Fedora 15 on an external hard drive (Appart that it couldn't load Gnome 3 and was reverting to Gnome 2, didn't want to install drivers since I use it on multiple computers) I used it to backup my files from the raid array to my 1TB hard drive for the reinstallation of Windows. (So the crashes only happenned on Windows) [The external hard drive is plugged directly on a SATA port] I contacted EVGA (My graphic card vendor) and pointed them on this question, I'm looking for an answer. Ran sensors on Fedora 15 and got this output: http://pastebin.com/0BHJnAvu When it happens When I play video games (Mostly) When I play flash games (Second most) When I'm looking at my desktop background (It rarely happens when I have a window open, but it does, sometimes) Specs Windows Seven x64 Home Premium Motherboard: M2N-SLI Deluxe CPU: AMD Phenom 9950 x2 @ 2.6GHz Memory: Kingston 4x2GB Dual Channel (Pretty basic memory sticks) Hard drives: Was 2x250GB (Western digital caviar) in raid-0 + 1TB (WD caviar black), I replaced the raid array with a 750GB (WD caviar black) [Yes I removed the array from the raid configurations] 750W Power supply No overcloking. Ever. There have been some power-downs like 4-5 weeks ago, but the problem didn't start immediately after. (I wasn't home, so my computer got shut-down) My current to-try list Change the thermal paste on my CPU. Change my graphic card with a temporary one and stress the computer. Change my power supply. In this situation, how can I successfully pin-point the current hardware problem? (If it's a hardware problem) Because I don't really have the budget to just forget and replace everything. I also don't really have hardware to test-replace current hardware.

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  • Where is my VMware-ws FreeNAS CIFS(ZFS) bottle-neck?

    - by maka
    Background: I'm building a quiet HTPC + NAS that is also supposed to be used for general computer usage. I'm so far generally happy with things, it was just that I was expecting a little better IO performance. I have no clue if my expectations are unreal. The NAS is there as a general purpose file storage and as a media server for XBMC and other devices. ZFS is a requirement. Question: Where is my bottle-neck, and is there anything I can do config wise, to improve my performance? I'm thinking VM-disk settings could be something but I really have no idea where to go since I'm neither experienced with FreeNAS nor VMware-WS. Tests: When I'm on the host OS and copy files (from the SSD) to the CIFS share, I get around 30 Mbytes/sec read and write. When I'm on my laptop laptop, wired to the network, I get about the same specs. The test I've done are with a 16 GB ISO, and with about 200 MB of RARs and I've tried avoiding the RAM-cache by reading different files than the ones I'm writing ( 10 GB). It feels like having less CPU cores is a lot more efficient, since the resource manager in Windows reports less CPU-usage. With 4 cores in VMware, CPU usage was 50-80%, with 1 core it was 25-60%. EDIT: HD ActiveTime was quite high on SSD so I moved the page file, disabled hibernate and enabled Win DiskCache both on SSD and RAID. This resulted in no real performance difference for one file, but if i transferred 2 files the total speed went up to 50 Mbytes/s vs ~40. The ActiveTime avg also went down a lot (to ~20%) but has now higher bursts. DiskIO is on ~ 30-35 Mbytes/s avgs, with ~100Mb bursts. Network is on 200-250Mbits/s with ~45 active TCP connections. Hardware Asus F2A85-M Pro A10-5700 16GB DDR3 1600 OCZ Vertex 2 128GB SSD 2x Generic 1tb 7200 RPM drives as RAID0 (in win7) Intel Gigabit Desktop CT Software Host OS: Win7 (SSD) VMware Worksation 9 (SSD) FreeNAS 8.3 VM (20GB VDisk on SSD) CPU: I've tried 1, 2 and 4 cores. Virtualisation engine, Preferred mode: Automatic 10,24Gb ram 50Gb SCSI VDisk on the RAID0, VDisk is formatted as ZFS and exposed through CIFS through FreeNAS. NIC Bridge, Replicate physical network state Below are two typical process print-outs while I'm transfering one file to the CIFS share. last pid: 2707; load averages: 0.60, 0.43, 0.24 up 0+00:07:05 00:34:26 32 processes: 2 running, 30 sleeping Mem: 101M Active, 53M Inact, 1620M Wired, 2188K Cache, 149M Buf, 8117M Free Swap: 4096M Total, 4096M Free PID USERNAME THR PRI NICE SIZE RES STATE TIME WCPU COMMAND 2640 root 1 102 0 50164K 10364K RUN 0:25 25.98% smbd 1897 root 6 44 0 168M 74808K uwait 0:02 0.00% python last pid: 2746; load averages: 0.93, 0.60, 0.33 up 0+00:08:53 00:36:14 33 processes: 2 running, 31 sleeping Mem: 101M Active, 53M Inact, 4722M Wired, 2188K Cache, 152M Buf, 5015M Free Swap: 4096M Total, 4096M Free PID USERNAME THR PRI NICE SIZE RES STATE TIME WCPU COMMAND 2640 root 1 76 0 50164K 10364K RUN 0:52 16.99% smbd 1897 root 6 44 0 168M 74816K uwait 0:02 0.00% python I'm sorry if my question isn't phrased right, I'm really bad at these kind of things, and it is the first time I post here at SU. I also appreciate any other suggestions to something, I could have missed.

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  • Extending ext4 partition on debian7.0 on vsphere

    - by VoidPointer
    I have allocated thin provisioning of 15GB when i found 8GB as insufficient. Now debian guest is not able to recognize the change of size. root@debian7-x64:~# lvdisplay --- Logical volume --- LV Path /dev/debian7-x64/root LV Name root VG Name debian7-x64 LV UUID EU6mg0-XTXC-ci3D-bQJi-7XN6-r8Hp-SYxcj0 LV Write Access read/write LV Creation host, time debian7-x64, 2013-06-25 12:02:49 +0530 LV Status available # open 1 LV Size 7.39 GiB Current LE 1892 Segments 1 Allocation inherit Read ahead sectors auto - currently set to 256 Block device 254:0 --- Logical volume --- LV Path /dev/debian7-x64/swap_1 LV Name swap_1 VG Name debian7-x64 LV UUID xDNtoz-tJUq-M5D6-GGCN-gzcD-fwUv-fYYDR1 LV Write Access read/write LV Creation host, time debian7-x64, 2013-06-25 12:02:49 +0530 LV Status available # open 2 LV Size 376.00 MiB Current LE 94 Segments 1 Allocation inherit Read ahead sectors auto - currently set to 256 Block device 254:1 root@debian7-x64:~# pvdisplay --- Physical volume --- PV Name /dev/sda5 VG Name debian7-x64 PV Size 7.76 GiB / not usable 2.00 MiB Allocatable yes (but full) PE Size 4.00 MiB Total PE 1986 Free PE 0 Allocated PE 1986 PV UUID SehkzH-Gq8Y-jI2f-27Tb-uv1Z-tR1R-5OnTxR root@debian7-x64:~# sfdisk -s /dev/sda: 15728640 /dev/mapper/debian7--x64-root: 7749632 /dev/mapper/debian7--x64-swap_1: 385024 total: 23863296 blocks Help me to extend this partition. No problem in rebooting. I dont have any live CD. Environment : debian 7, with lvm, on vsphere, ext4 partition. Can provide more details when needed.

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  • Extending partition on linux gparted but not more space in the vm

    - by Asken
    I have a vm test installation of a linux running a build server. Unfortunately I just pressed ok when adding the disk and ended up with an 8gb drive to play with. Well into the test the builds are consuming more and more space, of course. The vm drive was resized to 21gb and using gparted I expanded the drive partitions and that all worked fine but when I go back into the console and do df there's still only 8gb available. How can I claim the other 13gb I added? fdisk -l Disk /dev/sda: 21.0 GB, 20971520000 bytes 255 heads, 63 sectors/track, 2549 cylinders, total 40960000 sectors Units = sectors of 1 * 512 = 512 bytes Sector size (logical/physical): 512 bytes / 512 bytes I/O size (minimum/optimal): 512 bytes / 512 bytes Disk identifier: 0x0006d284 Device Boot Start End Blocks Id System /dev/sda1 * 2048 499711 248832 83 Linux /dev/sda2 501758 40959999 20229121 5 Extended /dev/sda5 501760 40959999 20229120 8e Linux LVM vgdisplay --- Volume group --- VG Name ct System ID Format lvm2 Metadata Areas 1 Metadata Sequence No 4 VG Access read/write VG Status resizable MAX LV 0 Cur LV 2 Open LV 2 Max PV 0 Cur PV 1 Act PV 1 VG Size 19.29 GiB PE Size 4.00 MiB Total PE 4938 Alloc PE / Size 1977 / 7.72 GiB Free PE / Size 2961 / 11.57 GiB VG UUID MwiMAz-52e1-iGVf-eL4f-P5lq-FvRA-L73Sl3 lvdisplay --- Logical volume --- LV Name /dev/ct/root VG Name ct LV UUID Rfk9fh-kqdM-q7t5-ml6i-EjE8-nMtU-usBF0m LV Write Access read/write LV Status available # open 1 LV Size 5.73 GiB Current LE 1466 Segments 1 Allocation inherit Read ahead sectors auto - currently set to 256 Block device 252:0 --- Logical volume --- LV Name /dev/ct/swap_1 VG Name ct LV UUID BLFaa6-1f5T-4MM0-5goV-1aur-nzl9-sNLXIs LV Write Access read/write LV Status available # open 2 LV Size 2.00 GiB Current LE 511 Segments 1 Allocation inherit Read ahead sectors auto - currently set to 256 Block device 252:1

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  • vSphere education - What are the downsides of configuring virtual machines with *too* much RAM?

    - by ewwhite
    VMware memory management seems to be a tricky balancing act. With cluster RAM, Resource Pools, VMware's management techniques (TPS, ballooning, host swapping), in-guest RAM utilization, swapping, reservations, shares and limits, there are a lot of variables. I'm in a situation where clients are using dedicated vSphere cluster resources. However, they are configuring the virtual machines as though they were on physical hardware. In turn, this means a standard VM build may have 4 vCPUs and 16GB or more of RAM. I come from the school of starting small (1 vCPU, minimal RAM), checking real-world use and adjusting up as necessary. Some examples from a "problem" cluster. Resource pool summary - Looks almost 4:1 overcommitted. Note the high amount of ballooned RAM. Resource allocation - The Worst Case Allocation column shows that these VMs would have access to less than 50% of their configured RAM under constrained conditions. The real-time memory utilization graph of the top VM in the listing above. 4 vCPU and 64GB RAM allocated. It averages under 9GB use. Summary of the same VM What are the downsides of overcommitting and overconfiguring resources (specifically RAM) in vSphere environments? Assuming that the VMs can run in less RAM, is it fair to say that there's overhead to configuring virtual machines with more RAM than they need? What is the counter-argument to: "if a VM has 16GB of RAM allocated, but only uses 4GB, what's the problem??"? E.g. do customers need to be educated? What specific metric should be used to meter RAM usage. Tracking the peaks of "Active" versus time?

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  • Monitor randomly shutting down, computer accepting no input, need to restart to get working

    - by Sebastian Lamerichs
    First off, spec list: OS: Windows 7 Ultimate 64-bit SP1 CPU: i7-4820k @ 3.7GHz (stock) GPU: Two 3GB Radeon HD 7970s @ 1.05GHz Mobo: AsRock X79 Extreme6 HDD: 2TB Seagate Barracuda 7200rpm RAM: 16GB quad-channel Kingston 1600MHz PSU: Antec HCG 900W Monitors: Acer S220HQL 1920x1080 + ViewSonic VA2251 1920x1080. Plugged into different GPUs. My problem is that, on a daily-ish basis, my monitors will turn off and not turn back on. My computer will still be running, GPU/CPU/case fans all still going, but the monitors will not turn back on. Additionally, it seems to cease all network activity. It doesn't seem to log any errors at all. I've verified that this is not a monitor issue, as when I press the num/caps/scroll lock buttons on my keyboard, the lights don't change, so the computer is clearly not accepting input. I have noticed a few other people on the internet with this problem, and some have claimed that it was solved by disabling PCI-Express Link State Power Management, but the issue still occurs for me after this. Whilst my CPU and GPUs both run at 100% 24/7, the temperatures are certainly not at dangerous levels, with the CPU averaging 65°C and the GPUs at 70°C and 78°C average. All components are brand new. I have tried forcing MSI Afterburner to start when Windows starts and to force a constant voltage, as this fixed the issue for a few days for another user, but he reported back saying that it had stopped working properly again, so I'm not putting too much faith in this working. Many people have said to adjust display sleep mode settings, but this will clearly not work, as the keyboard lights would still work if the monitors were the issue. The closest I can get to a log file for this issue is the following Folding@Home logs: 14:45:21:WU01:FS00:0x17:Completed 1120000 out of 2000000 steps (56%) 14:46:43:WU00:FS01:0x17:Completed 480000 out of 2000000 steps (24%) 14:46:49:WU01:FS00:0x17:Completed 1140000 out of 2000000 steps (57%) 14:48:30:WU01:FS00:0x17:Completed 1160000 out of 2000000 steps (58%) 14:49:55:WU01:FS00:0x17:Completed 1180000 out of 2000000 steps (59%) As you can see, the second GPU (FS01) stops computation approximately three and a half minutes before the issue occurs (it should be completing 1% every 80-120 seconds), and the first GPU (FS00) continues for a few minutes more before the logs just end. As far as I can tell, the computer has a network failure at the time the first GPU stops working, the latest IRC message I received from this time was at 14:47:58. That being said, there could have just not been any messages between then and 14:50:00, so I'm going to be connecting a laptop to the same bouncer to double-check if it happens again. The GPUs functioned perfectly well in another computer for a significant period of time, so I'm fairly confident that they aren't the issue, which means that this is being caused by either software or the motherboard, or possibly RAM. I really hope it's software. I heard from a forum board that there was a patch from Microsoft that fixed this problem, but "I've forgot which KB it was or the google search terms I used to find the patch, LOL.", so that's not much help. Haven't seen it mentioned by anyone else on about a dozen threads about this issue either. The computer is plugged in via a surge-protected power board, and I've run several other computers and pieces of hardware through it with no issues, so that is not the cause. I have just set the hard disk to never turn off, although I don't believe that that will solve the issue. Strangely, this has only happened when I'm not at the computer (which is actually a minority of the time). Until today it had only happened when I had not been actively using the computer for 6 hours, but today it happened within 10-30 minutes of me last using the computer actively. I have enabled file logging from MSI Afterburner, so hopefully this will shed some light on the issue, but I'm not too optimistic. I've heard that it could be a motherboard problem, but I figured I should ask around before RMAing it. Any help?

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  • SElinux process killed while trying to set boolean

    - by Antonio
    I've got a strange problem. I can not allow apache to connect to database at my CentOC 6.4 box: [root@centos6 ~]# setsebool -P httpd_can_network_connect on Killed [root@centos6 ~]# sestatus -b | grep httpd_can_network_connect httpd_can_network_connect off httpd_can_network_connect_cobbler off httpd_can_network_connect_db off I watched log file, but there was no log messages: tail -f /var/log/audit/audit.log UPDATE: There are some information in /var/log/messages: Nov 9 19:07:16 vs302 kernel: setsebool invoked oom-killer: gfp_mask=0x280da, order=0, oom_adj=0, oom_score_adj=0 Nov 9 19:07:16 vs302 kernel: setsebool cpuset=/ mems_allowed=0 Nov 9 19:07:16 vs302 kernel: Pid: 1660, comm: setsebool Not tainted 2.6.32-358.23.2.el6.x86_64 #1 Nov 9 19:07:16 vs302 kernel: Call Trace: Nov 9 19:07:16 vs302 kernel: [<ffffffff810cb641>] ? cpuset_print_task_mems_allowed+0x91/0xb0 Nov 9 19:07:16 vs302 kernel: [<ffffffff8111ce40>] ? dump_header+0x90/0x1b0 Nov 9 19:07:16 vs302 kernel: [<ffffffff8111d2c2>] ? oom_kill_process+0x82/0x2a0 Nov 9 19:07:16 vs302 kernel: [<ffffffff8111d201>] ? select_bad_process+0xe1/0x120 Nov 9 19:07:16 vs302 kernel: [<ffffffff8111d700>] ? out_of_memory+0x220/0x3c0 Nov 9 19:07:16 vs302 kernel: [<ffffffff8112c3dc>] ? __alloc_pages_nodemask+0x8ac/0x8d0 Nov 9 19:07:16 vs302 kernel: [<ffffffff81160d6a>] ? alloc_pages_vma+0x9a/0x150 Nov 9 19:07:16 vs302 kernel: [<ffffffff81143f0b>] ? handle_pte_fault+0x76b/0xb50 Nov 9 19:07:16 vs302 kernel: [<ffffffff81228664>] ? task_has_capability+0xb4/0x110 Nov 9 19:07:16 vs302 kernel: [<ffffffff81004a49>] ? __raw_callee_save_xen_pmd_val+0x11/0x1e Nov 9 19:07:16 vs302 kernel: [<ffffffff8114452a>] ? handle_mm_fault+0x23a/0x310 Nov 9 19:07:16 vs302 kernel: [<ffffffff811485b6>] ? vma_adjust+0x556/0x5e0 Nov 9 19:07:16 vs302 kernel: [<ffffffff810474e9>] ? __do_page_fault+0x139/0x480 Nov 9 19:07:16 vs302 kernel: [<ffffffff81148b8a>] ? vma_merge+0x29a/0x3e0 Nov 9 19:07:16 vs302 kernel: [<ffffffff81149fdc>] ? do_brk+0x26c/0x350 Nov 9 19:07:16 vs302 kernel: [<ffffffff8100ba1d>] ? retint_restore_args+0x5/0x6 Nov 9 19:07:16 vs302 kernel: [<ffffffff81513bfe>] ? do_page_fault+0x3e/0xa0 Nov 9 19:07:16 vs302 kernel: [<ffffffff81510fb5>] ? page_fault+0x25/0x30 Nov 9 19:07:16 vs302 kernel: Mem-Info: Nov 9 19:07:16 vs302 kernel: Node 0 DMA per-cpu: Nov 9 19:07:16 vs302 kernel: CPU 0: hi: 0, btch: 1 usd: 0 Nov 9 19:07:16 vs302 kernel: Node 0 DMA32 per-cpu: Nov 9 19:07:16 vs302 kernel: CPU 0: hi: 186, btch: 31 usd: 30 Nov 9 19:07:16 vs302 kernel: active_anon:132249 inactive_anon:46 isolated_anon:0 Nov 9 19:07:16 vs302 kernel: active_file:56 inactive_file:59 isolated_file:0 Nov 9 19:07:16 vs302 kernel: unevictable:0 dirty:2 writeback:0 unstable:0 Nov 9 19:07:16 vs302 kernel: free:1369 slab_reclaimable:1774 slab_unreclaimable:11588 Nov 9 19:07:16 vs302 kernel: mapped:54 shmem:48 pagetables:1211 bounce:0 Nov 9 19:07:16 vs302 kernel: Node 0 DMA free:2440kB min:72kB low:88kB high:108kB active_anon:12156kB inactive_anon:0kB active_file:0kB inactive_file:0kB unevictable:0kB isolated(anon):0kB isolated(file):0kB present:14648kB mlocked:0kB dirty:0kB writeback:0kB mapped:0kB shmem:0kB slab_reclaimable:24kB slab_unreclaimable:8kB kernel_stack:0kB pagetables:16kB unstable:0kB bounce:0kB writeback_tmp:0kB pages_scanned:0 all_unreclaimable? yes Nov 9 19:07:16 vs302 kernel: lowmem_reserve[]: 0 590 590 590 Nov 9 19:07:16 vs302 kernel: Node 0 DMA32 free:3036kB min:3072kB low:3840kB high:4608kB active_anon:516840kB inactive_anon:184kB active_file:224kB inactive_file:236kB unevictable:0kB isolated(anon):0kB isolated(file):0kB present:604988kB mlocked:0kB dirty:8kB writeback:0kB mapped:216kB shmem:192kB slab_reclaimable:7072kB slab_unreclaimable:46344kB kernel_stack:880kB pagetables:4828kB unstable:0kB bounce:0kB writeback_tmp:0kB pages_scanned:128 all_unreclaimable? no Nov 9 19:07:16 vs302 kernel: lowmem_reserve[]: 0 0 0 0 Nov 9 19:07:16 vs302 kernel: Node 0 DMA: 0*4kB 1*8kB 0*16kB 0*32kB 0*64kB 1*128kB 1*256kB 0*512kB 0*1024kB 1*2048kB 0*4096kB = 2440kB Nov 9 19:07:16 vs302 kernel: Node 0 DMA32: 129*4kB 67*8kB 30*16kB 19*32kB 6*64kB 2*128kB 1*256kB 0*512kB 0*1024kB 0*2048kB 0*4096kB = 3036kB Nov 9 19:07:16 vs302 kernel: 182 total pagecache pages Nov 9 19:07:16 vs302 kernel: 0 pages in swap cache Nov 9 19:07:16 vs302 kernel: Swap cache stats: add 0, delete 0, find 0/0 Nov 9 19:07:16 vs302 kernel: Free swap = 0kB Nov 9 19:07:16 vs302 kernel: Total swap = 0kB Nov 9 19:07:16 vs302 kernel: 157439 pages RAM Nov 9 19:07:16 vs302 kernel: 6271 pages reserved Nov 9 19:07:16 vs302 kernel: 2686 pages shared Nov 9 19:07:16 vs302 kernel: 146395 pages non-shared Nov 9 19:07:16 vs302 kernel: [ pid ] uid tgid total_vm rss cpu oom_adj oom_score_adj name Nov 9 19:07:16 vs302 kernel: [ 271] 0 271 2798 231 0 -17 -1000 udevd Nov 9 19:07:16 vs302 kernel: [ 476] 0 476 2797 230 0 -17 -1000 udevd Nov 9 19:07:16 vs302 kernel: [ 718] 0 718 2279 122 0 0 0 dhclient Nov 9 19:07:16 vs302 kernel: [ 762] 0 762 6909 58 0 -17 -1000 auditd Nov 9 19:07:16 vs302 kernel: [ 787] 0 787 62270 147 0 0 0 rsyslogd Nov 9 19:07:16 vs302 kernel: [ 801] 25 801 40326 2655 0 0 0 named Nov 9 19:07:16 vs302 kernel: [ 850] 0 850 16563 172 0 -17 -1000 sshd Nov 9 19:07:16 vs302 kernel: [ 875] 0 875 23451 240 0 0 0 sshd Nov 9 19:07:16 vs302 kernel: [ 966] 498 966 4780 44 0 0 0 wrapper Nov 9 19:07:16 vs302 kernel: [ 968] 498 968 497404 40812 0 0 0 java Nov 9 19:07:16 vs302 kernel: [ 1057] 0 1057 20216 225 0 0 0 master Nov 9 19:07:16 vs302 kernel: [ 1064] 89 1064 20278 209 0 0 0 qmgr Nov 9 19:07:16 vs302 kernel: [ 1071] 0 1071 27075 121 0 0 0 bash Nov 9 19:07:16 vs302 kernel: [ 1111] 0 1111 24880 350 0 0 0 httpd Nov 9 19:07:16 vs302 kernel: [ 1117] 48 1117 24913 351 0 0 0 httpd Nov 9 19:07:16 vs302 kernel: [ 1118] 48 1118 24880 337 0 0 0 httpd Nov 9 19:07:16 vs302 kernel: [ 1119] 48 1119 24880 337 0 0 0 httpd Nov 9 19:07:16 vs302 kernel: [ 1120] 48 1120 24880 337 0 0 0 httpd Nov 9 19:07:16 vs302 kernel: [ 1121] 48 1121 24880 337 0 0 0 httpd Nov 9 19:07:16 vs302 kernel: [ 1122] 48 1122 24880 337 0 0 0 httpd Nov 9 19:07:16 vs302 kernel: [ 1124] 48 1124 24880 337 0 0 0 httpd Nov 9 19:07:16 vs302 kernel: [ 1125] 48 1125 24880 337 0 0 0 httpd Nov 9 19:07:16 vs302 kernel: [ 1129] 0 1129 29313 151 0 0 0 crond Nov 9 19:07:16 vs302 kernel: [ 1143] 0 1143 1018 22 0 0 0 agetty Nov 9 19:07:16 vs302 kernel: [ 1146] 0 1146 1015 22 0 0 0 mingetty Nov 9 19:07:16 vs302 kernel: [ 1514] 0 1514 23451 237 0 0 0 sshd Nov 9 19:07:16 vs302 kernel: [ 1517] 0 1517 27075 113 0 0 0 bash Nov 9 19:07:16 vs302 kernel: [ 1641] 89 1641 20236 218 0 0 0 pickup Nov 9 19:07:16 vs302 kernel: [ 1659] 0 1659 25234 39 0 0 0 tail Nov 9 19:07:16 vs302 kernel: [ 1660] 0 1660 89903 85712 0 0 0 setsebool Nov 9 19:07:16 vs302 kernel: Out of memory: Kill process 1660 (setsebool) score 568 or sacrifice child Nov 9 19:07:16 vs302 kernel: Killed process 1660, UID 0, (setsebool) total-vm:359612kB, anon-rss:342708kB, file-rss:140kB

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  • my server suddenly crashes every 2 days or so. Programmer has no idea, please help find the cause, here is the top

    - by Alex
    Every couple of days my server suddenly crashes and I must request hardware reset at data center to get it back running. Today I came back to my shell and saw the server was dead and "top" was running on it, and see below for the "top" right before the crash. I opened /var/log/messages and scrolled to the reboot time and see nothing, no errors prior to the hard reboot. (I checked in /etc/syslog.conf and I see "*.info;mail.none;authpriv.none;cron.none /var/log/messages" , isn't this good enough to log all problems?) Usually when I look at the top, the swap is never used up like this! I also don't know why mysqld is at 323% cpu (server only runs drupal and its never slow or overloaded). Solver is my application. I don't know whats that 'sh' doing and 'dovecot' doing. Its driving me crazy over the last month, please help me solve this mystery and stop my downtimes. top - 01:10:06 up 6 days, 5 min, 3 users, load average: 34.87, 18.68, 9.03 Tasks: 500 total, 19 running, 481 sleeping, 0 stopped, 0 zombie Cpu(s): 0.0%us, 96.6%sy, 0.0%ni, 1.7%id, 1.8%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 8165600k total, 8139764k used, 25836k free, 428k buffers Swap: 2104496k total, 2104496k used, 0k free, 8236k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 4421 mysql 15 0 571m 105m 976 S 323.5 1.3 9:08.00 mysqld 564 root 20 -5 0 0 0 R 99.5 0.0 2:49.16 kswapd1 25767 apache 19 0 399m 8060 888 D 79.3 0.1 0:06.64 httpd 25781 apache 19 0 398m 5648 492 R 79.0 0.1 0:08.21 httpd 25961 apache 25 0 398m 5700 560 R 76.7 0.1 0:17.81 httpd 25980 apache 25 0 10816 668 520 R 75.0 0.0 0:46.95 sh 563 root 20 -5 0 0 0 D 71.4 0.0 3:12.37 kswapd0 25766 apache 25 0 399m 7256 756 R 69.7 0.1 0:39.83 httpd 25911 apache 25 0 398m 5612 480 R 58.8 0.1 0:17.63 httpd 25782 apache 25 0 440m 38m 648 R 55.2 0.5 0:18.94 httpd 25966 apache 25 0 398m 5640 556 R 55.2 0.1 0:48.84 httpd 4588 root 25 0 74860 596 476 R 53.9 0.0 0:37.90 crond 25939 apache 25 0 2776 172 84 R 48.9 0.0 0:59.46 solver 4575 root 25 0 397m 6004 1144 R 48.6 0.1 1:00.43 httpd 25962 apache 25 0 398m 5628 492 R 47.9 0.1 0:14.58 httpd 25824 apache 25 0 440m 39m 680 D 47.3 0.5 0:57.85 httpd 25968 apache 25 0 398m 5612 528 R 46.6 0.1 0:42.73 httpd 4477 root 25 0 6084 396 280 R 46.3 0.0 0:59.53 dovecot 25982 root 25 0 397m 5108 240 R 45.9 0.1 0:18.01 httpd 25943 apache 25 0 2916 172 8 R 44.0 0.0 0:53.54 solver 30687 apache 25 0 468m 63m 1124 D 42.3 0.8 0:45.02 httpd 25978 apache 25 0 398m 5688 600 R 23.8 0.1 0:40.99 httpd 25983 root 25 0 397m 5272 384 D 14.9 0.1 0:18.99 httpd 935 root 10 -5 0 0 0 D 14.2 0.0 1:54.60 kjournald 25986 root 25 0 397m 5308 420 D 8.9 0.1 0:04.75 httpd 4011 haldaemo 25 0 31568 1476 716 S 5.6 0.0 0:24.36 hald 25956 apache 23 0 398m 5872 644 S 5.6 0.1 0:13.85 httpd 18336 root 18 0 13004 1332 724 R 0.3 0.0 1:46.66 top 1 root 18 0 10372 212 180 S 0.0 0.0 0:05.99 init 2 root RT -5 0 0 0 S 0.0 0.0 0:00.95 migration/0 3 root 34 19 0 0 0 S 0.0 0.0 0:00.01 ksoftirqd/0 4 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/0 5 root RT -5 0 0 0 S 0.0 0.0 0:00.15 migration/1 6 root 34 19 0 0 0 S 0.0 0.0 0:00 .06 ksoftirqd/1 here is a normal top, when server is working fine: top - 01:50:41 up 21 min, 1 user, load average: 2.98, 2.70, 1.68 Tasks: 271 total, 2 running, 269 sleeping, 0 stopped, 0 zombie Cpu(s): 15.0%us, 1.1%sy, 0.0%ni, 81.4%id, 2.4%wa, 0.1%hi, 0.0%si, 0.0%st Mem: 8165600k total, 2035856k used, 6129744k free, 60840k buffers Swap: 2104496k total, 0k used, 2104496k free, 283744k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 2204 apache 17 0 466m 83m 19m S 25.9 1.0 0:22.16 httpd 11347 apache 15 0 466m 83m 19m S 25.9 1.0 0:26.10 httpd 18204 apache 18 0 481m 97m 19m D 25.2 1.2 0:13.99 httpd 4644 apache 18 0 481m 100m 19m D 24.6 1.3 1:17.12 httpd 4727 apache 17 0 481m 99m 19m S 24.3 1.2 1:10.77 httpd 4777 apache 17 0 482m 102m 21m S 23.6 1.3 1:38.27 httpd 8924 apache 15 0 483m 99m 19m S 22.3 1.3 1:13.41 httpd 9390 apache 18 0 483m 99m 19m S 18.9 1.2 1:05.35 httpd 4728 apache 16 0 481m 101m 19m S 14.3 1.3 1:12.50 httpd 4648 apache 15 0 481m 107m 27m S 12.6 1.4 1:18.62 httpd 24955 apache 15 0 467m 82m 19m S 3.3 1.0 0:21.80 httpd 4722 apache 15 0 503m 118m 19m R 1.7 1.5 1:17.79 httpd 4647 apache 15 0 484m 105m 20m S 1.3 1.3 1:40.73 httpd 4643 apache 16 0 481m 100m 20m S 0.7 1.3 1:11.80 httpd 1561 root 15 0 12900 1264 828 R 0.3 0.0 0:00.54 top 4434 mysql 15 0 496m 55m 4812 S 0.3 0.7 0:06.69 mysqld 4646 apache 15 0 481m 100m 19m S 0.3 1.3 1:25.51 httpd 1 root 18 0 10372 692 580 S 0.0 0.0 0:02.09 init 2 root RT -5 0 0 0 S 0.0 0.0 0:00.03 migration/0 3 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/0 4 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/0 5 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/1 6 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/1 7 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/1 8 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/2 9 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/2 10 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/2 11 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/3 12 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/3 13 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/3 14 root RT -5 0 0 0 S 0.0 0.0 0:00.03 migration/4 15 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/4 16 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/4 17 root RT -5 0 0 0 S 0.0 0.0 0:00.02 migration/5 18 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/5 19 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/5 20 root RT -5 0 0 0 S 0.0 0.0 0:00.01 migration/6 21 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/6 22 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/6 23 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/7

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  • Upgrading Windows 8 boot to VHD to Windows 8.1&ndash;Step by step guide

    - by Liam Westley
    Originally posted on: http://geekswithblogs.net/twickers/archive/2013/10/19/upgrading-windows-8-boot-to-vhd-to-windows-8.1ndashstep-by.aspxBoot to VHD – dual booting Windows 7 and Windows 8 became easy When Windows 8 arrived, quite a few people decided that they would still dual boot their machines, and instead of mucking about with resizing disk partitions to free up space for Windows 8 they decided to use the boot from VHD feature to create a huge hard disc image into which Windows 8 could be installed.  Scott Hanselman wrote this installation guide, while I myself used the installation guide from Ed Bott of ZD net fame. Boot to VHD is a great solution, it achieves a dual boot, can be backed up easily and had virtually no effect on the original Windows 7 partition. As a developer who has dual booted Windows operating systems for years, hacking boot.ini files, the boot to VHD was a much easier solution. Upgrade to Windows 8.1 – ah, you can’t do that on a virtual disk installation (boot to VHD) Last week the final version of Windows 8.1 arrived, and I went into the Windows Store to upgrade.  Luckily I’m on a fast download service, and use an SSD, because once the upgrade was downloaded and prepared Windows informed that This PC can’t run Windows 8.1, and provided the reason, You can’t install Windows on a virtual drive.  You can see an image of the message and discussion that sparked my search for a solution in this Microsoft Technet forum post. I was determined not to have to resize partitions yet again and fiddle with VHD to disk utilities and back again, and in the end I did succeed in upgrading to a Windows 8.1 boot to VHD partition.  It takes quite a bit of effort though … tldr; Simple steps of how you upgrade Boot into Windows 7 – make a copy of your Windows 8 VHD, to become Windows 8.1 Enable Hyper-V in your Windows 8 (the original boot to VHD partition) Create a new virtual machine, attaching the copy of your Windows 8 VHD Start the virtual machine, upgrade it via the Windows Store to Windows 8.1 Shutdown the virtual machine Boot into Windows 7 – use the bcedit tool to create a new Windows 8.1 boot to VHD option (pointing at the copy) Boot into the new Windows 8.1 option Reactivate Windows 8.1 (it will have become deactivated by running under Hyper-V) Remove the original Windows 8 VHD, and in Windows 7 use bcedit to remove it from the boot menu Things you’ll need A system that can run Hyper-V under Windows 8 (Intel i5, i7 class CPU) Enough space to have your original Windows 8 boot to VHD and a copy at the same time An ISO or DVD for Windows 8 to create a bootable Windows 8 partition Step by step guide Boot to your base o/s, the real one, Windows 7. Make a copy of the Windows 8 VHD file that you use to boot Windows 8 (via boot from VHD) – I copied it from a folder on C: called VHD-Win8 to VHD-Win8.1 on my N: drive. Reboot your system into Windows 8, and enable Hyper-V if not already present (this may require reboot) Use the Hyper-V manager , create a new Hyper-V machine, using half your system memory, and use the option to attach an existing VHD on the main IDE controller – this will be the new copy you made in Step 2. Start the virtual machine, use Connect to view it, and you’ll probably discover it cannot boot as there is no boot record If this is the case, go to Hyper-V manager, edit the Settings for the virtual machine to attach an ISO of a Windows 8 DVD to the second IDE controller. Start the virtual machine, use Connect to view it, and it should now attempt a fresh installation of Windows 8.  You should select Advanced Options and choose Repair - this will make VHD bootable When the setup reboots your virtual machine, turn off the virtual machine, and remove the ISO of the Windows 8 DVD from the virtual machine settings. Start virtual machine, use Connect to view it.  You will see the devices to be re-discovered (including your quad CPU becoming single CPU).  Eventually you should see the Windows Login screen. You may notice that your desktop background (Win+D) will have turned black as your Windows installation has become deactivate due to the hardware changes between your real PC and Hyper-V. Fortunately becoming deactivated, does not stop you using the Windows Store, where you can select the update to Windows 8.1. You can now watch the progress joy of the Windows 8 update; downloading, preparing to update, checking compatibility, gathering info, preparing to restart, and finally, confirm restart - remember that you are restarting your virtual machine sitting on the copy of the VHD, not the Windows 8 boot to VHD you are currently using to run Hyper-V (confused yet?) After the reboot you get the real upgrade messages; setting up x%, xx%, (quite slow) After a while, Getting ready Applying PC Settings x%, xx% (really slow) Updating your system (fast) Setting up a few more things x%, (quite slow) Getting ready, again Accept license terms Express settings Confirmed previous password Next, I had to set up a Microsoft account – which is possibly now required, and not optional Using the Microsoft account required a 2 factor authorization, via text message, a 7 digit code for me Finalising settings Blank screen, HI .. We're setting up things for you (similar to original Windows 8 install) 'You can get new apps from the Store', below which is ’Installing your apps’ - I had Windows Media Center which is counts as an app from the Store ‘Taking care of a few things’, below which is ‘Installing your apps’ ‘Taking care of a few things’, below ‘Don't turn off your PC’ ‘Getting your apps ready’, below ‘Don't turn off your PC’ ‘Almost ready’, below ‘Don't turn off your PC’ … finally, we get the Windows 8.1 start menu, and a quick Win+D to check the desktop confirmed all the application icons I expected, pinned items on the taskbar, and one app moaning about a missing drive At this point the upgrade is complete – you can shutdown the virtual machine Reboot from the original Windows 8 and return to Windows 7 to configure booting to the Windows 8.1 copy of the VHD In an administrator command prompt do following use the bcdedit tool (from an MSDN blog about configuring VHD to boot in Windows 7) Type bcedit to list the current boot options, so you can copy the GUID (complete with brackets/braces) for the original Windows 8 boot to VHD Create a new menu option, copy of the Windows 8 option; bcdedit /copy {originalguid} /d "Windows 8.1" Point the new Windows 8.1 option to the copy of the VHD; bcdedit /set {newguid} device vhd=[D:]\Image.vhd Point the new Windows 8.1 option to the copy of the VHD; bcdedit /set {newguid} osdevice vhd=[D:]\Image.vhd Set autodetection of the HAL (may already be set); bcdedit /set {newguid} detecthal on Reboot from Windows 7 and select the new option 'Windows 8.1' on the boot menu, and you’ll have some messages to look at, as your hardware is redetected (as you are back from 1 CPU to 4 CPUs) ‘Getting devices ready, blank then %xx, with occasional blank screen, for the graphics driver, (fast-ish) Getting Ready message (fast) You will have to suffer one final reboots, choose 'Windows 8.1' and you can now login to a lovely Windows 8.1 start screen running on non virtualized hardware via boot to VHD After checking everything is running fine, you can now choose to Activate Windows, which for me was a toll free phone call to the automated system where you type in lots of numbers to be given a whole bunch of new activation codes. Once you’re happy with your new Windows 8.1 boot to VHD, and no longer need the Windows 8 boot to VHD, feel free to delete the old one.  I do believe once you upgrade, you are no longer licensed to use it anyway. There, that was simple wasn’t it? Looking at the huge list of steps it took to perform this upgrade, you may wonder whether I think this is worth it.  Well, I think it is worth booting to VHD.  It makes backups a snap (go to Windows 7, copy the VHD, you backed up the o/s) and helps with disk management – want to move the o/s, you can move the VHD and repoint the boot menu to the new location. The downside is that Microsoft has complete neglected to support boot to VHD as an upgradable option.  Quite a poor decision in my opinion, and if you read twitter and the forums quite a few people agree with that view.  It’s a shame this got missed in the work on creating the upgrade packages for Windows 8.1.

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  • The SPARC SuperCluster

    - by Karoly Vegh
    Oracle has been providing a lead in the Engineered Systems business for quite a while now, in accordance with the motto "Hardware and Software Engineered to Work Together." Indeed it is hard to find a better definition of these systems.  Allow me to summarize the idea. It is:  Build a compute platform optimized to run your technologies Develop application aware, intelligently caching storage components Take an impressively fast network technology interconnecting it with the compute nodes Tune the application to scale with the nodes to yet unseen performance Reduce the amount of data moving via compression Provide this all in a pre-integrated single product with a single-pane management interface All these ideas have been around in IT for quite some time now. The real Oracle advantage is adding the last one to put these all together. Oracle has built quite a portfolio of Engineered Systems, to run its technologies - and run those like they never ran before. In this post I'll focus on one of them that serves as a consolidation demigod, a multi-purpose engineered system.  As you probably have guessed, I am talking about the SPARC SuperCluster. It has many great features inherited from its predecessors, and it adds several new ones. Allow me to pick out and elaborate about some of the most interesting ones from a technological point of view.  I. It is the SPARC SuperCluster T4-4. That is, as compute nodes, it includes SPARC T4-4 servers that we learned to appreciate and respect for their features: The SPARC T4 CPUs: Each CPU has 8 cores, each core runs 8 threads. The SPARC T4-4 servers have 4 sockets. That is, a single compute node can in parallel, simultaneously  execute 256 threads. Now, a full-rack SPARC SuperCluster has 4 of these servers on board. Remember the keyword demigod.  While retaining the forerunner SPARC T3's exceptional throughput, the SPARC T4 CPUs raise the bar with single performance too - a humble 5x better one than their ancestors.  actually, the SPARC T4 CPU cores run in both single-threaded and multi-threaded mode, and switch between these two on-the-fly, fulfilling not only single-threaded OR multi-threaded applications' needs, but even mixed requirements (like in database workloads!). Data security, anyone? Every SPARC T4 CPU core has a built-in encryption engine, that is, encryption algorithms cast into silicon.  A PCI controller right on the chip for customers who need I/O performance.  Built-in, no-cost Virtualization:  Oracle VM for SPARC (the former LDoms or Logical Domains) is not a server-emulation virtualization technology but rather a serverpartitioning one, the hypervisor runs in the server firmware, and all the VMs' HW resources (I/O, CPU, memory) are accessed natively, without performance overhead.  This enables customers to run a number of Solaris 10 and Solaris 11 VMs separated, independent of each other within a physical server II. For Database performance, it includes Exadata Storage Cells - one of the main reasons why the Exadata Database Machine performs at diabolic speed. What makes them important? They provide DB backend storage for your Oracle Databases to run on the SPARC SuperCluster, that is what they are built and tuned for DB performance.  These storage cells are SQL-aware.  That is, if a SPARC T4 database compute node executes a query, it doesn't simply request tons of raw datablocks from the storage, filters the received data, and throws away most of it where the statement doesn't apply, but provides the SQL query to the storage node too. The storage cell software speaks SQL, that is, it is able to prefilter and through that transfer only the relevant data. With this, the traffic between database nodes and storage cells is reduced immensely. Less I/O is a good thing - as they say, all the CPUs of the world do one thing just as fast as any other - and that is waiting for I/O.  They don't only pre-filter, but also provide data preprocessing features - e.g. if a DB-node requests an aggregate of data, they can calculate it, and handover only the results, not the whole set. Again, less data to transfer.  They support the magical HCC, (Hybrid Columnar Compression). That is, data can be stored in a precompressed form on the storage. Less data to transfer.  Of course one can't simply rely on disks for performance, there is Flash Storage included there for caching.  III. The low latency, high-speed backbone network: InfiniBand, that interconnects all the members with: Real High Speed: 40 Gbit/s. Full Duplex, of course. Oh, and a really low latency.  RDMA. Remote Direct Memory Access. This technology allows the DB nodes to do exactly that. Remotely, directly placing SQL commands into the Memory of the storage cells. Dodging all the network-stack bottlenecks, avoiding overhead, placing requests directly into the process queue.  You can also run IP over InfiniBand if you please - that's the way the compute nodes can communicate with each other.  IV. Including a general-purpose storage too: the ZFSSA, which is a unified storage, providing NAS and SAN access too, with the following features:  NFS over RDMA over InfiniBand. Nothing is faster network-filesystem-wise.  All the ZFS features onboard, hybrid storage pools, compression, deduplication, snapshot, replication, NFS and CIFS shares Storageheads in a HA-Cluster configuration providing availability of the data  DTrace Live Analytics in a web-based Administration UI Being a general purpose application data storage for your non-database applications running on the SPARC SuperCluster over whichever protocol they prefer, easily replicating, snapshotting, cloning data for them.  There's a lot of great technology included in Oracle's SPARC SuperCluster, we have talked its interior through. As for external scalability: you can start with a half- of full- rack SPARC SuperCluster, and scale out to several racks - that is, stacking not separate full-rack SPARC SuperClusters, but extending always one large instance of the size of several full-racks. Yes, over InfiniBand network. Add racks as you grow.  What technologies shall run on it? SPARC SuperCluster is a general purpose scaleout consolidation/cloud environment. You can run Oracle Databases with RAC scaling, or Oracle Weblogic (end enjoy the SPARC T4's advantages to run Java). Remember, Oracle technologies have been integrated with the Oracle Engineered Systems - this is the Oracle on Oracle advantage. But you can run other software environments such as SAP if you please too. Run any application that runs on Oracle Solaris 10 or Solaris 11. Separate them in Virtual Machines, or even Oracle Solaris Zones, monitor and manage those from a central UI. Here the key takeaways once again: The SPARC SuperCluster: Is a pre-integrated Engineered System Contains SPARC T4-4 servers with built-in virtualization, cryptography, dynamic threading Contains the Exadata storage cells that intelligently offload the burden of the DB-nodes  Contains a highly available ZFS Storage Appliance, that provides SAN/NAS storage in a unified way Combines all these elements over a high-speed, low-latency backbone network implemented with InfiniBand Can grow from a single half-rack to several full-rack size Supports the consolidation of hundreds of applications To summarize: All these technologies are great by themselves, but the real value is like in every other Oracle Engineered System: Integration. All these technologies are tuned to perform together. Together they are way more than the sum of all - and a careful and actually very time consuming integration process is necessary to orchestrate all these for performance. The SPARC SuperCluster's goal is to enable infrastructure operations and offer a pre-integrated solution that can be architected and delivered in hours instead of months of evaluations and tests. The tedious and most importantly time and resource consuming part of the work - testing and evaluating - has been done.  Now go, provide services.   -- charlie  

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  • HTG Explains: Should You Build Your Own PC?

    - by Chris Hoffman
    There was a time when every geek seemed to build their own PC. While the masses bought eMachines and Compaqs, geeks built their own more powerful and reliable desktop machines for cheaper. But does this still make sense? Building your own PC still offers as much flexibility in component choice as it ever did, but prebuilt computers are available at extremely competitive prices. Building your own PC will no longer save you money in most cases. The Rise of Laptops It’s impossible to look at the decline of geeks building their own PCs without considering the rise of laptops. There was a time when everyone seemed to use desktops — laptops were more expensive and significantly slower in day-to-day tasks. With the diminishing importance of computing power — nearly every modern computer has more than enough power to surf the web and use typical programs like Microsoft Office without any trouble — and the rise of laptop availability at nearly every price point, most people are buying laptops instead of desktops. And, if you’re buying a laptop, you can’t really build your own. You can’t just buy a laptop case and start plugging components into it — even if you could, you would end up with an extremely bulky device. Ultimately, to consider building your own desktop PC, you have to actually want a desktop PC. Most people are better served by laptops. Benefits to PC Building The two main reasons to build your own PC have been component choice and saving money. Building your own PC allows you to choose all the specific components you want rather than have them chosen for you. You get to choose everything, including the PC’s case and cooling system. Want a huge case with room for a fancy water-cooling system? You probably want to build your own PC. In the past, this often allowed you to save money — you could get better deals by buying the components yourself and combining them, avoiding the PC manufacturer markup. You’d often even end up with better components — you could pick up a more powerful CPU that was easier to overclock and choose more reliable components so you wouldn’t have to put up with an unstable eMachine that crashed every day. PCs you build yourself are also likely more upgradable — a prebuilt PC may have a sealed case and be constructed in such a way to discourage you from tampering with the insides, while swapping components in and out is generally easier with a computer you’ve built on your own. If you want to upgrade your CPU or replace your graphics card, it’s a definite benefit. Downsides to Building Your Own PC It’s important to remember there are downsides to building your own PC, too. For one thing, it’s just more work — sure, if you know what you’re doing, building your own PC isn’t that hard. Even for a geek, researching the best components, price-matching, waiting for them all to arrive, and building the PC just takes longer. Warranty is a more pernicious problem. If you buy a prebuilt PC and it starts malfunctioning, you can contact the computer’s manufacturer and have them deal with it. You don’t need to worry about what’s wrong. If you build your own PC and it starts malfunctioning, you have to diagnose the problem yourself. What’s malfunctioning, the motherboard, CPU, RAM, graphics card, or power supply? Each component has a separate warranty through its manufacturer, so you’ll have to determine which component is malfunctioning before you can send it off for replacement. Should You Still Build Your Own PC? Let’s say you do want a desktop and are willing to consider building your own PC. First, bear in mind that PC manufacturers are buying in bulk and getting a better deal on each component. They also have to pay much less for a Windows license than the $120 or so it would cost you to to buy your own Windows license. This is all going to wipe out the cost savings you’ll see — with everything all told, you’ll probably spend more money building your own average desktop PC than you would picking one up from Amazon or the local electronics store. If you’re an average PC user that uses your desktop for the typical things, there’s no money to be saved from building your own PC. But maybe you’re looking for something higher end. Perhaps you want a high-end gaming PC with the fastest graphics card and CPU available. Perhaps you want to pick out each individual component and choose the exact components for your gaming rig. In this case, building your own PC may be a good option. As you start to look at more expensive, high-end PCs, you may start to see a price gap — but you may not. Let’s say you wanted to blow thousands of dollars on a gaming PC. If you’re looking at spending this kind of money, it would be worth comparing the cost of individual components versus a prebuilt gaming system. Still, the actual prices may surprise you. For example, if you wanted to upgrade Dell’s $2293 Alienware Aurora to include a second NVIDIA GeForce GTX 780 graphics card, you’d pay an additional $600 on Alienware’s website. The same graphics card costs $650 on Amazon or Newegg, so you’d be spending more money building the system yourself. Why? Dell’s Alienware gets bulk discounts you can’t get — and this is Alienware, which was once regarded as selling ridiculously overpriced gaming PCs to people who wouldn’t build their own. Building your own PC still allows you to get the most freedom when choosing and combining components, but this is only valuable to a small niche of gamers and professional users — most people, even average gamers, would be fine going with a prebuilt system. If you’re an average person or even an average gamer, you’ll likely find that it’s cheaper to purchase a prebuilt PC rather than assemble your own. Even at the very high end, components may be more expensive separately than they are in a prebuilt PC. Enthusiasts who want to choose all the individual components for their dream gaming PC and want maximum flexibility may want to build their own PCs. Even then, building your own PC these days is more about flexibility and component choice than it is about saving money. In summary, you probably shouldn’t build your own PC. If you’re an enthusiast, you may want to — but only a small minority of people would actually benefit from building their own systems. Feel free to compare prices, but you may be surprised which is cheaper. Image Credit: Richard Jones on Flickr, elPadawan on Flickr, Richard Jones on Flickr     

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  • SQL SERVER – Introduction to Wait Stats and Wait Types – Wait Type – Day 1 of 28

    - by pinaldave
    I have been working a lot on Wait Stats and Wait Types recently. Last Year, I requested blog readers to send me their respective server’s wait stats. I appreciate their kind response as I have received  Wait stats from my readers. I took each of the results and carefully analyzed them. I provided necessary feedback to the person who sent me his wait stats and wait types. Based on the feedbacks I got, many of the readers have tuned their server. After a while I got further feedbacks on my recommendations and again, I collected wait stats. I recorded the wait stats and my recommendations and did further research. At some point at time, there were more than 10 different round trips of the recommendations and suggestions. Finally, after six month of working my hands on performance tuning, I have collected some real world wisdom because of this. Now I plan to share my findings with all of you over here. Before anything else, please note that all of these are based on my personal observations and opinions. They may or may not match the theory available at other places. Some of the suggestions may not match your situation. Remember, every server is different and consequently, there is more than one solution to a particular problem. However, this series is written with kept wait stats in mind. While I was working on various performance tuning consultations, I did many more things than just tuning wait stats. Today we will discuss how to capture the wait stats. I use the script diagnostic script created by my friend and SQL Server Expert Glenn Berry to collect wait stats. Here is the script to collect the wait stats: -- Isolate top waits for server instance since last restart or statistics clear WITH Waits AS (SELECT wait_type, wait_time_ms / 1000. AS wait_time_s, 100. * wait_time_ms / SUM(wait_time_ms) OVER() AS pct, ROW_NUMBER() OVER(ORDER BY wait_time_ms DESC) AS rn FROM sys.dm_os_wait_stats WHERE wait_type NOT IN ('CLR_SEMAPHORE','LAZYWRITER_SLEEP','RESOURCE_QUEUE','SLEEP_TASK' ,'SLEEP_SYSTEMTASK','SQLTRACE_BUFFER_FLUSH','WAITFOR', 'LOGMGR_QUEUE','CHECKPOINT_QUEUE' ,'REQUEST_FOR_DEADLOCK_SEARCH','XE_TIMER_EVENT','BROKER_TO_FLUSH','BROKER_TASK_STOP','CLR_MANUAL_EVENT' ,'CLR_AUTO_EVENT','DISPATCHER_QUEUE_SEMAPHORE', 'FT_IFTS_SCHEDULER_IDLE_WAIT' ,'XE_DISPATCHER_WAIT', 'XE_DISPATCHER_JOIN', 'SQLTRACE_INCREMENTAL_FLUSH_SLEEP')) SELECT W1.wait_type, CAST(W1.wait_time_s AS DECIMAL(12, 2)) AS wait_time_s, CAST(W1.pct AS DECIMAL(12, 2)) AS pct, CAST(SUM(W2.pct) AS DECIMAL(12, 2)) AS running_pct FROM Waits AS W1 INNER JOIN Waits AS W2 ON W2.rn <= W1.rn GROUP BY W1.rn, W1.wait_type, W1.wait_time_s, W1.pct HAVING SUM(W2.pct) - W1.pct < 99 OPTION (RECOMPILE); -- percentage threshold GO This script uses Dynamic Management View sys.dm_os_wait_stats to collect the wait stats. It omits the system-related wait stats which are not useful to diagnose performance-related bottleneck. Additionally, not OPTION (RECOMPILE) at the end of the DMV will ensure that every time the query runs, it retrieves new data and not the cached data. This dynamic management view collects all the information since the time when the SQL Server services have been restarted. You can also manually clear the wait stats using the following command: DBCC SQLPERF('sys.dm_os_wait_stats', CLEAR); Once the wait stats are collected, we can start analysis them and try to see what is causing any particular wait stats to achieve higher percentages than the others. Many waits stats are related to one another. When the CPU pressure is high, all the CPU-related wait stats show up on top. But when that is fixed, all the wait stats related to the CPU start showing reasonable percentages. It is difficult to have a sure solution, but there are good indications and good suggestions on how to solve this. I will keep this blog post updated as I will post more details about wait stats and how I reduce them. The reference to Book On Line is over here. Of course, I have selected February to run this Wait Stats series. I am already cheating by having the smallest month to run this series. :) Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: DMV, Pinal Dave, PostADay, SQL, SQL Authority, SQL Optimization, SQL Performance, 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 – Concurrency Basics – Guest Post by Vinod Kumar

    - by pinaldave
    This guest post is by Vinod Kumar. Vinod Kumar has worked with SQL Server extensively since joining the industry over a decade ago. Working on various versions from SQL Server 7.0, Oracle 7.3 and other database technologies – he now works with the Microsoft Technology Center (MTC) as a Technology Architect. Let us read the blog post in Vinod’s own voice. Learning is always fun when it comes to SQL Server and learning the basics again can be more fun. I did write about Transaction Logs and recovery over my blogs and the concept of simplifying the basics is a challenge. In the real world we always see checks and queues for a process – say railway reservation, banks, customer supports etc there is a process of line and queue to facilitate everyone. Shorter the queue higher is the efficiency of system (a.k.a higher is the concurrency). Every database does implement this using checks like locking, blocking mechanisms and they implement the standards in a way to facilitate higher concurrency. In this post, let us talk about the topic of Concurrency and what are the various aspects that one needs to know about concurrency inside SQL Server. Let us learn the concepts as one-liners: Concurrency can be defined as the ability of multiple processes to access or change shared data at the same time. The greater the number of concurrent user processes that can be active without interfering with each other, the greater the concurrency of the database system. Concurrency is reduced when a process that is changing data prevents other processes from reading that data or when a process that is reading data prevents other processes from changing that data. Concurrency is also affected when multiple processes are attempting to change the same data simultaneously. Two approaches to managing concurrent data access: Optimistic Concurrency Model Pessimistic Concurrency Model Concurrency Models Pessimistic Concurrency Default behavior: acquire locks to block access to data that another process is using. Assumes that enough data modification operations are in the system that any given read operation is likely affected by a data modification made by another user (assumes conflicts will occur). Avoids conflicts by acquiring a lock on data being read so no other processes can modify that data. Also acquires locks on data being modified so no other processes can access the data for either reading or modifying. Readers block writer, writers block readers and writers. Optimistic Concurrency Assumes that there are sufficiently few conflicting data modification operations in the system that any single transaction is unlikely to modify data that another transaction is modifying. Default behavior of optimistic concurrency is to use row versioning to allow data readers to see the state of the data before the modification occurs. Older versions of the data are saved so a process reading data can see the data as it was when the process started reading and not affected by any changes being made to that data. Processes modifying the data is unaffected by processes reading the data because the reader is accessing a saved version of the data rows. Readers do not block writers and writers do not block readers, but, writers can and will block writers. Transaction Processing A transaction is the basic unit of work in SQL Server. Transaction consists of SQL commands that read and update the database but the update is not considered final until a COMMIT command is issued (at least for an explicit transaction: marked with a BEGIN TRAN and the end is marked by a COMMIT TRAN or ROLLBACK TRAN). Transactions must exhibit all the ACID properties of a transaction. ACID Properties Transaction processing must guarantee the consistency and recoverability of SQL Server databases. Ensures all transactions are performed as a single unit of work regardless of hardware or system failure. A – Atomicity C – Consistency I – Isolation D- Durability Atomicity: Each transaction is treated as all or nothing – it either commits or aborts. Consistency: ensures that a transaction won’t allow the system to arrive at an incorrect logical state – the data must always be logically correct.  Consistency is honored even in the event of a system failure. Isolation: separates concurrent transactions from the updates of other incomplete transactions. SQL Server accomplishes isolation among transactions by locking data or creating row versions. Durability: After a transaction commits, the durability property ensures that the effects of the transaction persist even if a system failure occurs. If a system failure occurs while a transaction is in progress, the transaction is completely undone, leaving no partial effects on data. Transaction Dependencies In addition to supporting all four ACID properties, a transaction might exhibit few other behaviors (known as dependency problems or consistency problems). Lost Updates: Occur when two processes read the same data and both manipulate the data, changing its value and then both try to update the original data to the new value. The second process might overwrite the first update completely. Dirty Reads: Occurs when a process reads uncommitted data. If one process has changed data but not yet committed the change, another process reading the data will read it in an inconsistent state. Non-repeatable Reads: A read is non-repeatable if a process might get different values when reading the same data in two reads within the same transaction. This can happen when another process changes the data in between the reads that the first process is doing. Phantoms: Occurs when membership in a set changes. It occurs if two SELECT operations using the same predicate in the same transaction return a different number of rows. Isolation Levels SQL Server supports 5 isolation levels that control the behavior of read operations. Read Uncommitted All behaviors except for lost updates are possible. Implemented by allowing the read operations to not take any locks, and because of this, it won’t be blocked by conflicting locks acquired by other processes. The process can read data that another process has modified but not yet committed. When using the read uncommitted isolation level and scanning an entire table, SQL Server can decide to do an allocation order scan (in page-number order) instead of a logical order scan (following page pointers). If another process doing concurrent operations changes data and move rows to a new location in the table, the allocation order scan can end up reading the same row twice. Also can happen if you have read a row before it is updated and then an update moves the row to a higher page number than your scan encounters later. Performing an allocation order scan under Read Uncommitted can cause you to miss a row completely – can happen when a row on a high page number that hasn’t been read yet is updated and moved to a lower page number that has already been read. Read Committed Two varieties of read committed isolation: optimistic and pessimistic (default). Ensures that a read never reads data that another application hasn’t committed. If another transaction is updating data and has exclusive locks on data, your transaction will have to wait for the locks to be released. Your transaction must put share locks on data that are visited, which means that data might be unavailable for others to use. A share lock doesn’t prevent others from reading but prevents them from updating. Read committed (snapshot) ensures that an operation never reads uncommitted data, but not by forcing other processes to wait. SQL Server generates a version of the changed row with its previous committed values. Data being changed is still locked but other processes can see the previous versions of the data as it was before the update operation began. Repeatable Read This is a Pessimistic isolation level. Ensures that if a transaction revisits data or a query is reissued the data doesn’t change. That is, issuing the same query twice within a transaction cannot pickup any changes to data values made by another user’s transaction because no changes can be made by other transactions. However, this does allow phantom rows to appear. Preventing non-repeatable read is a desirable safeguard but cost is that all shared locks in a transaction must be held until the completion of the transaction. Snapshot Snapshot Isolation (SI) is an optimistic isolation level. Allows for processes to read older versions of committed data if the current version is locked. Difference between snapshot and read committed has to do with how old the older versions have to be. It’s possible to have two transactions executing simultaneously that give us a result that is not possible in any serial execution. Serializable This is the strongest of the pessimistic isolation level. Adds to repeatable read isolation level by ensuring that if a query is reissued rows were not added in the interim, i.e, phantoms do not appear. Preventing phantoms is another desirable safeguard, but cost of this extra safeguard is similar to that of repeatable read – all shared locks in a transaction must be held until the transaction completes. In addition serializable isolation level requires that you lock data that has been read but also data that doesn’t exist. Ex: if a SELECT returned no rows, you want it to return no. rows when the query is reissued. This is implemented in SQL Server by a special kind of lock called the key-range lock. Key-range locks require that there be an index on the column that defines the range of values. If there is no index on the column, serializable isolation requires a table lock. Gets its name from the fact that running multiple serializable transactions at the same time is equivalent of running them one at a time. Now that we understand the basics of what concurrency is, the subsequent blog posts will try to bring out the basics around locking, blocking, deadlocks because they are the fundamental blocks that make concurrency possible. Now if you are with me – let us continue learning for SQL Server Locking Basics. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Concurrency

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  • The new Auto Scaling Service in Windows Azure

    - by shiju
    One of the key features of the Cloud is the on-demand scalability, which lets the cloud application developers to scale up or scale down the number of compute resources hosted on the Cloud. Auto Scaling provides the capability to dynamically scale up and scale down your compute resources based on user-defined policies, Key Performance Indicators (KPI), health status checks, and schedules, without any manual intervention. Auto Scaling is an important feature to consider when designing and architecting cloud based solutions, which can unleash the real power of Cloud to the apps for providing truly on-demand scalability and can also guard the organizational budget for cloud based application deployment. In the past, you have had to leverage the the Microsoft Enterprise Library Autoscaling Application Block (WASABi) or a services like  MetricsHub for implementing Automatic Scaling for your cloud apps hosted on the Windows Azure. The WASABi required to host your auto scaling block in a Windows Azure Worker Role for effectively implementing the auto scaling behaviour to your Windows Azure apps. The newly announced Auto Scaling service in Windows Azure lets you add automatic scaling capability to your Windows Azure Compute Services such as Cloud Services, Web Sites and Virtual Machine. Unlike WASABi hosted on a Worker Role, you don’t need to host any monitoring service for using the new Auto Scaling service and the Auto Scaling service will be available to individual Windows Azure Compute Services as part of the Scaling. Configure Auto Scaling for a Windows Azure Cloud Service Currently the Auto Scaling service supports Cloud Services, Web Sites and Virtual Machine. In this demo, I will be used a Cloud Services app with a Web Role and a Worker Role. To enable the Auto Scaling, select t your Windows Azure app in the Windows Azure management portal, and choose “SCLALE” tab. The Scale tab will show the all information regards with Auto Scaling. The below image shows that we have currently disabled the AutoScale service. To enable Auto Scaling, you need to choose either CPU or QUEUE. The QUEUE option is not available for Web Sites. The image below demonstrates how to configure Auto Scaling for a Web Role based on the utilization of CPU. We have configured the web role app for running with 1 to 5 Virtual Machine instances based on the CPU utilization with a range of 50 to 80%. If the aggregate utilization is becoming above above 80%, it will scale up instances and it will scale down instances when utilization is becoming below 50%. The image below demonstrates how to configure Auto Scaling for a Worker Role app based on the messages added into the Windows Azure storage Queue. We configured the worker role app for running with 1 to 3 Virtual Machine instances based on the Queue messages added into the Windows Azure storage Queue. Here we have specified the number of messages target per machine is 2000. The image below shows the summary of the Auto Scaling for the Cloud Service after configuring auto scaling service. Summary Auto Scaling is an extremely important behaviour of the Cloud applications for providing on-demand scalability without any manual intervention. Windows Azure provides greater support for enabling Auto Scaling for the apps deployed on the Windows Azure cloud platform. The new Auto Scaling service in Windows Azure lets you add automatic scaling capability to your Windows Azure Compute Services such as Cloud Services, Web Sites and Virtual Machine. In the new Auto Scaling service, you don’t have to host any monitor service like you have had in WASABi block. The Auto Scaling service is an excellent alternative to the manually hosting WASABi block in a Worker Role app.

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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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  • Monitor System Resources from the Windows 7 Taskbar

    - by Asian Angel
    The problem with most system monitoring apps is that they get covered up with all of your open windows, but you can solve that problem by adding monitoring apps to the Taskbar. Setting Up & Using SuperbarMonitor All of the individual monitors and the .dll files necessary to run them come in a single zip file for your convenience. Simply unzip the contents, add them to an appropriate “Program Files Folder”, and create shortcuts for the monitors that you would like to use on your system. For our example we created shortcuts for all five monitors and set the shortcuts up in their own “Start Menu Folder”. You can see what the five monitors (Battery, CPU, Disk, Memory, & Volume) look like when running…they are visual in appearance without text to clutter up the looks. The monitors use colors (red, green, & yellow) to indicate the amount of resources being used for a particular category. Note: Our system is desktop-based but the “Battery Monitor” was shown for the purposes of demonstration…thus the red color seen here. Hovering the mouse over the “Battery, CPU, Disk, & Memory Monitors” on our system displayed a small blank thumbnail. Note: The “Battery Monitor” may or may not display more when used on your laptop. Going one step further and hovering the mouse over the thumbnails displayed a small blank window. There really is nothing that you will need to worry with outside of watching the color for each individual monitor. Nice and simple! The one monitor with extra features on the thumbnail was the “Volume Monitor”. You can turn the volume down, up, on, or off from here…definitely useful if you have been wanting to hide the “Volume Icon” in the “System Tray”. You can also pin the monitors to your “Taskbar” if desired. Keep in mind that if you do close any of the monitors they will “temporarily” disappear from the “Taskbar” until the next time they are started. Note: If you want the monitors to start with your system each time you will need to add the appropriate shortcuts to the “Startup Sub-menu” in your “Start Menu”. Conclusion If you have been wanting a nice visual way to monitor your system’s resources then SuperbarMonitor is definitely worth trying out. Links Download SuperbarMonitor Similar Articles Productive Geek Tips Monitor CPU, Memory, and Disk IO In Windows 7 with Taskbar MetersUse Windows Vista Reliability Monitor to Troubleshoot CrashesTaskbar Eliminator Does What the Name Implies: Hides Your Windows TaskbarBring Misplaced Off-Screen Windows Back to Your Desktop (Keyboard Trick)How To Fix System Tray Tooltips Not Displaying in Windows XP TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips DVDFab 6 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 Follow Finder Finds You Twitter Users To Follow Combine MP3 Files Easily QuicklyCode Provides Cheatsheets & Other Programming Stuff Download Free MP3s from Amazon Awe inspiring, inter-galactic theme (Win 7) Case Study – How to Optimize Popular Wordpress Sites

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  • IPgallery banks on Solaris SPARC

    - by Frederic Pariente
    IPgallery is a global supplier of converged legacy and Next Generation Networks (NGN) products and solutions, including: core network components and cloud-based Value Added Services (VAS) for voice, video and data sessions. IPgallery enables network operators and service providers to offer advanced converged voice, chat, video/content services and rich unified social communications in a combined legacy (fixed/mobile), Over-the-Top (OTT) and Social Community (SC) environments for home and business customers. Technically speaking, this offer is a scalable and robust telco solution enabling operators to offer new services while controlling operating expenses (OPEX). In its solutions, IPgallery leverages the following Oracle components: Oracle Solaris, Netra T4 and SPARC T4 in order to provide a competitive and scalable solution without the price tag often associated with high-end systems. Oracle Solaris Binary Application Guarantee A unique feature of Oracle Solaris is the guaranteed binary compatibility between releases of the Solaris OS. That means, if a binary application runs on Solaris 2.6 or later, it will run on the latest release of Oracle Solaris.  IPgallery developed their application on Solaris 9 and Solaris 10 then runs it on Solaris 11, without any code modification or rebuild. The Solaris Binary Application Guarantee helps IPgallery protect their long-term investment in the development, training and maintenance of their applications. Oracle Solaris Image Packaging System (IPS) IPS is a new repository-based package management system that comes with Oracle Solaris 11. It provides a framework for complete software life-cycle management such as installation, upgrade and removal of software packages. IPgallery leverages this new packaging system in order to speed up and simplify software installation for the R&D and production environments. Notably, they use IPS to deliver Solaris Studio 12.3 packages as part of the rapid installation process of R&D environments, and during the production software deployment phase, they ensure software package integrity using the built-in verification feature. Solaris IPS thus improves IPgallery's time-to-market with a faster, more reliable software installation and deployment in production environments. Extreme Network Performance IPgallery saw a huge improvement in application performance both in CPU and I/O, when running on SPARC T4 architecture in compared to UltraSPARC T2 servers.  The same application (with the same activation environment) running on T2 consumes 40%-50% CPU, while it consumes only 10% of the CPU on T4. The testing environment comprised of: Softswitch (Call management), TappS (Telecom Application Server) and Billing Server running on same machine and initiating various services in capacity of 1000 CAPS (Call Attempts Per Second). In addition, tests showed a huge improvement in the performance of the TCP/IP stack, which reduces network layer processing and in the end Call Attempts latency. Finally, there is a huge improvement within the file system and disk I/O operations; they ran all tests with maximum logging capability and it didn't influence any benchmark values. "Due to the huge improvements in performance and capacity using the T4-1 architecture, IPgallery has engineered the solution with less hardware.  This means instead of deploying the solution on six T2-based machines, we will deploy on 2 redundant machines while utilizing Oracle Solaris Zones and Oracle VM for higher availability and virtualization" Shimon Lichter, VP R&D, IPgallery In conclusion, using the unique combination of Oracle Solaris and SPARC technologies, IPgallery is able to offer solutions with much lower TCO, while providing a higher level of service capacity, scalability and resiliency. This low-OPEX solution enables the operator, the end-customer, to deliver a high quality service while maintaining high profitability.

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  • Slow Ubuntu 10.04 after long time unused

    - by Winston Ewert
    I'm at spring break so I'm back at my parent's house. I've turned my computer on which has been off since January and its unusably slow. This was not the case when I last used the computer in January. It is running 10.04, Memory: 875.5 MB CPU: AMD Athlon 64 X2 Dual Core Processor 4400+ Available Disk Space: 330.8 GB I'm not seeing a large usage of either memory or Disk I/O. If I look at my list of processes there is only a very small amount of CPU usage. However, if I hover over the CPU usage graph that I've on the top bar, I sometimes get really high readings like 100%. It took a long time to boot, to open firefox, to open a link in firefox. As far as I can tell everything that the computer tries to do is just massively slow. Right now, I'm apt-get dist-upgrading to install any updates that I will have missed since last time this computer was on. Any ideas as to what is going on here? UPDATE: I thought to check dmesg and it has a lot of entries like this: [ 1870.142201] ata3.00: exception Emask 0x0 SAct 0x7 SErr 0x0 action 0x0 [ 1870.142206] ata3.00: irq_stat 0x40000008 [ 1870.142210] ata3.00: failed command: READ FPDMA QUEUED [ 1870.142217] ata3.00: cmd 60/08:10:c0:4a:65/00:00:03:00:00/40 tag 2 ncq 4096 in [ 1870.142218] res 41/40:00:c5:4a:65/00:00:03:00:00/40 Emask 0x409 (media error) <F> [ 1870.142221] ata3.00: status: { DRDY ERR } [ 1870.142223] ata3.00: error: { UNC } [ 1870.143981] ata3.00: SB600 AHCI: limiting to 255 sectors per cmd [ 1870.146758] ata3.00: SB600 AHCI: limiting to 255 sectors per cmd [ 1870.146761] ata3.00: configured for UDMA/133 [ 1870.146777] ata3: EH complete [ 1872.092269] ata3.00: exception Emask 0x0 SAct 0x7 SErr 0x0 action 0x0 [ 1872.092274] ata3.00: irq_stat 0x40000008 [ 1872.092278] ata3.00: failed command: READ FPDMA QUEUED [ 1872.092285] ata3.00: cmd 60/08:00:c0:4a:65/00:00:03:00:00/40 tag 0 ncq 4096 in [ 1872.092287] res 41/40:00:c5:4a:65/00:00:03:00:00/40 Emask 0x409 (media error) <F> [ 1872.092289] ata3.00: status: { DRDY ERR } [ 1872.092292] ata3.00: error: { UNC } [ 1872.094050] ata3.00: SB600 AHCI: limiting to 255 sectors per cmd [ 1872.096795] ata3.00: SB600 AHCI: limiting to 255 sectors per cmd [ 1872.096798] ata3.00: configured for UDMA/133 [ 1872.096814] ata3: EH complete [ 1874.042279] ata3.00: exception Emask 0x0 SAct 0x7 SErr 0x0 action 0x0 [ 1874.042285] ata3.00: irq_stat 0x40000008 [ 1874.042289] ata3.00: failed command: READ FPDMA QUEUED [ 1874.042296] ata3.00: cmd 60/08:10:c0:4a:65/00:00:03:00:00/40 tag 2 ncq 4096 in [ 1874.042297] res 41/40:00:c5:4a:65/00:00:03:00:00/40 Emask 0x409 (media error) <F> [ 1874.042300] ata3.00: status: { DRDY ERR } [ 1874.042302] ata3.00: error: { UNC } [ 1874.044048] ata3.00: SB600 AHCI: limiting to 255 sectors per cmd [ 1874.046837] ata3.00: SB600 AHCI: limiting to 255 sectors per cmd [ 1874.046840] ata3.00: configured for UDMA/133 [ 1874.046861] sd 2:0:0:0: [sda] Unhandled sense code [ 1874.046863] sd 2:0:0:0: [sda] Result: hostbyte=DID_OK driverbyte=DRIVER_SENSE [ 1874.046867] sd 2:0:0:0: [sda] Sense Key : Medium Error [current] [descriptor] [ 1874.046872] Descriptor sense data with sense descriptors (in hex): [ 1874.046874] 72 03 11 04 00 00 00 0c 00 0a 80 00 00 00 00 00 [ 1874.046883] 03 65 4a c5 [ 1874.046886] sd 2:0:0:0: [sda] Add. Sense: Unrecovered read error - auto reallocate failed [ 1874.046892] sd 2:0:0:0: [sda] CDB: Read(10): 28 00 03 65 4a c0 00 00 08 00 [ 1874.046900] end_request: I/O error, dev sda, sector 56969925 [ 1874.046920] ata3: EH complete I'm not certain, but that looks like my problem may be a failing hard drive. But the drive is less then a year old, it really shouldn't be failing now...

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  • Columnstore Case Study #1: MSIT SONAR Aggregations

    - by aspiringgeek
    Preamble This is the first in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in this deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. Why Columnstore? If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. App: MSIT SONAR Aggregations At MSIT, performance & configuration data is captured by SCOM. We archive much of the data in a partitioned data warehouse table in SQL Server 2012 for reporting via an application called SONAR.  By definition, this is a primary use case for columnstore—report queries requiring aggregation over large numbers of rows.  New data is refreshed each night by an automated table partitioning mechanism—a best practices scenario for columnstore. The Win Compared to performance using classic indexing which resulted in the expected query plan selection including partition elimination vs. SQL Server 2012 nonclustered columnstore, query performance increased significantly.  Logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Other than creating the columnstore index, no special modifications or tweaks to the app or databases schema were necessary to achieve the performance improvements.  Existing nonclustered indexes were rendered superfluous & were deleted, thus mitigating maintenance challenges such as defragging as well as conserving disk capacity. Details The table provides the raw data & summarizes the performance deltas. Logical Reads (8K pages) CPU (ms) Durn (ms) Columnstore 160,323 20,360 9,786 Conventional Table & Indexes 9,053,423 549,608 193,903 ? x56 x27 x20 The charts provide additional perspective of this data.  "Conventional vs. Columnstore Metrics" document the raw data.  Note on this linear display the magnitude of the conventional index performance vs. columnstore.  The “Metrics (?)” chart expresses these values as a ratio. Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the first in a series of reports on columnstore implementations, results from an initial implementation at MSIT in which logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Subsequent features in this series document performance enhancements that are even more significant. 

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  • Demantra 7.3.1.3 Controlling MDP_MATRIX Combinations Assigned to Forecasting Tasks Using TargetTaskSize

    - by user702295
    New 7.3.1.3 parameter: TargetTaskSize Old parameter: BranchID  Multiple, deprecated  7.3.1.3 onwards Parameter Location: Parameters > System Parameters > Engine > Proport   Default: 0   Engine Mode: Both   Details: Specifies how many MDP_MATRIX combinations the analytical engine attempts to assign to each forecasting task.  Allocation will be affected by forecsat tree branch size.  TaskTargetSize is automcatically calculated.  It holds the perferred branch size, in number of combinations in the lowest level. This parameter is adjusted to a lower value for smaller schemas, depending on the number of available engines.   - As the forecast is generated the engine goes up the tree using max_fore_level and not top_level -1.  Max_fore_level has     to be less than or equal to top_level -1.  Due to this requirement, combinations falling under the same top level -1     member must be in the same task.  A member of the top level -1 of the forecast tree is known as a branch.  An engine     task is therefore comprised of one or more branches.     - Reveal current task size       go to Engine Administrator --> View --> Branch Information and run the application on your Demantra schema.  This will be deprecated in 7.3.1.3 since there is no longer a means of adjusting the brach size directly.  The focus is now on proper hierarchy / forecast design.     - Control of tasks       The number of tasks created is the lowest of number of branches, as defined by top level -1 members in forecast       tree, and engine sessions and the value of TargetTaskSize.  You are used to using the branch multiplier in this       calculation.  As of 7.3.1.3, the branch ID multiple is deprecated.     - Discovery of current branch size       To resolve this you must review the 2nd highest level in the forecast tree (below highest/highest) as this is the       level which determines the size of the branches.  If a few resulting tasks are too large it is recommended that       the forecast tree level driving branches be revised or at times completely removed from the forecast tree.     - Control of foreacast tree branch size         - Run the following sql to determine how even the branches are being split by the engine:             select count(*),branch_id from mdp_matrix where prediction_status = 1 and do_fore = 1 group by branch_id;             This will give you an understanding if some of the individual branches have an unusually large number of           rows and thus might indicate that the engine is not efficiently dividing up the parallel tasks.         - Based on the results of this sql, we may want to adjust the branch id multiplier and/or the number of engines           (both of these settings are found in the Engine Administrator)           select count(*), level_id from mdp_matrix where prediction_status = 1 and do_fore = 1 group by level_id;           This will give us an understanding at which level of the Forecast tree where the forecast is being generated.            Having a majority of combinations higher on the forecast tree might indicate either a poorly designed forecast           tree and/or engine parameters that are too strict           Based on the results of this we would adjust the Forecast Tree to see if choosing a different hierarchy might           produce a forecast, with more combinations, at a lower level.           For example:             - Review the 2nd highest level in the forecast tree, below highest/highest, as this is the level which               determines the size of the branches.             - If a few resulting tasks are too large it is recommended that the forecast tree level driving branches               be revised or at times completely removed from the forecast tree.               - For example, if the highest level of the forecast tree is set to Brand/All Locations.             - You have 10 brands but 2 of the brands account for 67% and 29% of all combinations.             - There is a distinct possibility that the tasks resulting from these 2 branches will be too large for               a single engine to process.  Some possible solutions could be to remove the Brand level and instead               use a different product grouping which has a more even distribution, possibly Product Group.               - It is also possible to add a location dimension to this forecast tree level, for example Customer.                This will also reduce forecast tree branch size and will deliver a balanced task allocation.             - A correctly configured Forecast Tree is something that is done by the Implementation team and is               not the responsibility of Oracle Support.  Allocation will be affected by forecast tree branch size.  When TargetTaskSize is set to 0, the default value, the system automatically calculates a value for 'TargetTaskSize' depending on the number of engines.   - QUESTION:  Does this mean that if TargetTaskSize is 1, we use tree branch size to allocate branches to tasks instead                of automatically calculating the size?     ANSWER: DEV Strongly recommends that the setting of TargetTaskSize remain at the DEFAULT of ZERO (0).   - How to control the number of engines?     Determine how many CPUs are on the machine(s) that is (are) running the engine.  As mentioned earlier, the general     rule is that you should designate 2 engines per each CPU that is available.  So for example, if you are running the     engine on a machine that has 4 CPU then you can have up to 8 engines designated in the Engine Administrator.  In this     type of architecture then instead of having one 'localhost' in your Engine Settings Screen, you would have 'localhost'     repeated eight times in this field.     Where do I set the number of engines?                 To add multiples computers where engine will run, please do a back-up of Settings.xml file under         Analytical Engines\bin\ folder, then edit it and add there the selected machines.                 Example, this will allow 3 engines to start:         - <Entry>           <Key argument="ComputerNames" />           <Value type="string" argument="localhost,localhost,localhost" />           </Entry Otherwise, if there are no additional engines defined, the calculated value of 'TargetTaskSize' is used. (Oracle does not recommend changing the default value.) The TargetTaskSize holds the engines prefered branch size, in number of level 1 combinations.   - Level 1 combinations, known as group size The engine manager will use this parameter to attempt creating branches with similar size.   * The engine manager will not create engines that do not have a branch. The engine divider algorithm uses the value of 'TargetTaskSize' as a system-preferred branch size to create branches that are more equal in size which improves engine performance.  The engine divider will try to add as many tasks as possible to an existing branch, up to the limit of 'TargetTaskSize' level 1 combinations, before adding new branches. Coming up next: - The engine divider - Group size - Level 1 combinations - MAX_FORE_LEVEL - Engine Parameters  

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  • Good DBAs Do Baselines

    - by Louis Davidson
    One morning, you wake up and feel funny. You can’t quite put your finger on it, but something isn’t quite right. What now? Unless you happen to be a hypochondriac, you likely drag yourself out of bed, get on with the day and gather more “evidence”. You check your symptoms over the next few days; do you feel the same, better, worse? If better, then great, it was some temporal issue, perhaps caused by an allergic reaction to some suspiciously spicy chicken. If the same or worse then you go to the doctor for some health advice, but armed with some data to share, and having ruled out certain possible causes that are fixed with a bit of rest and perhaps an antacid. Whether you realize it or not, in comparing how you feel one day to the next, you have taken baseline measurements. In much the same way, a DBA uses baselines to gauge the gauge health of their database servers. Of course, while SQL Server is very willing to share data regarding its health and activities, it has almost no idea of the difference between good and bad. Over time, experienced DBAs develop “mental” baselines with which they can gauge the health of their servers almost as easily as their own body. They accumulate knowledge of the daily, natural state of each part of their database system, and so know instinctively when one of their databases “feels funny”. Equally, they know when an “issue” is just a passing tremor. They see their SQL Server with all of its four CPU cores running close 100% and don’t panic anymore. Why? It’s 5PM and every day the same thing occurs when the end-of-day reports, which are very CPU intensive, are running. Equally, they know when they need to respond in earnest when it is the first time they have heard about an issue, even if it has been happening every day. Nevertheless, no DBA can retain mental baselines for every characteristic of their systems, so we need to collect physical baselines too. In my experience, surprisingly few DBAs do this very well. Part of the problem is that SQL Server provides a lot of instrumentation. If you look, you will find an almost overwhelming amount of data regarding user activity on your SQL Server instances, and use and abuse of the available CPU, I/O and memory. It seems like a huge task even to work out which data you need to collect, let alone start collecting it on a regular basis, managing its storage over time, and performing detailed comparative analysis. However, without baselines, though, it is very difficult to pinpoint what ails a server, just by looking at a single snapshot of the data, or to spot retrospectively what caused the problem by examining aggregated data for the server, collected over many months. It isn’t as hard as you think to get started. You’ve probably already established some troubleshooting queries of the type SELECT Value FROM SomeSystemTableOrView. Capturing a set of baseline values for such a query can be as easy as changing it as follows: INSERT into BaseLine.SomeSystemTable (value, captureTime) SELECT Value, SYSDATETIME() FROM SomeSystemTableOrView; Of course, there are monitoring tools that will collect and manage this baseline data for you, automatically, and allow you to perform comparison of metrics over different periods. However, to get yourself started and to prove to yourself (or perhaps the person who writes the checks for tools) the value of baselines, stick something similar to the above query into an agent job, running every hour or so, and you are on your way with no excuses! Then, the next time you investigate a slow server, and see x open transactions, y users logged in, and z rows added per hour in the Orders table, compare to your baselines and see immediately what, if anything, has changed!

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