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  • Highly available iSCSI target

    - by sysetr
    I'm in the process of setting up iSCSI target on DRBD following the steps detailed here. I would appreciate if someone can answer and explain the following queries: Is there a way to set up just 1 resource for iscsi config and storage? Why does iscsi.config have to have a separate resource (in drbd.conf). Is it possible to put iscsi.config and iscsi.target in one disk? If not possible, what would be a good ratio (space wise) for iscsi.config and iscsi.target? Assuming I need to set up a 1TB iscsi.storage, how much space should I allocate for iscsi.config?

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  • SQL SERVER – PAGELATCH_DT, PAGELATCH_EX, PAGELATCH_KP, PAGELATCH_SH, PAGELATCH_UP – Wait Type – Day 12 of 28

    - by pinaldave
    This is another common wait type. However, I still frequently see people getting confused with PAGEIOLATCH_X and PAGELATCH_X wait types. Actually, there is a big difference between the two. PAGEIOLATCH is related to IO issues, while PAGELATCH is not related to IO issues but is oftentimes linked to a buffer issue. Before we delve deeper in this interesting topic, first let us understand what Latch is. Latches are internal SQL Server locks which can be described as very lightweight and short-term synchronization objects. Latches are not primarily to protect pages being read from disk into memory. It’s a synchronization object for any in-memory access to any portion of a log or data file.[Updated based on comment of Paul Randal] The difference between locks and latches is that locks seal all the involved resources throughout the duration of the transactions (and other processes will have no access to the object), whereas latches locks the resources during the time when the data is changed. This way, a latch is able to maintain the integrity of the data between storage engine and data cache. A latch is a short-living lock that is put on resources on buffer cache and in the physical disk when data is moved in either directions. As soon as the data is moved, the latch is released. Now, let us understand the wait stat type  related to latches. From Book On-Line: PAGELATCH_DT Occurs when a task is waiting on a latch for a buffer that is not in an I/O request. The latch request is in Destroy mode. PAGELATCH_EX Occurs when a task is waiting on a latch for a buffer that is not in an I/O request. The latch request is in Exclusive mode. PAGELATCH_KP Occurs when a task is waiting on a latch for a buffer that is not in an I/O request. The latch request is in Keep mode. PAGELATCH_SH Occurs when a task is waiting on a latch for a buffer that is not in an I/O request. The latch request is in Shared mode. PAGELATCH_UP Occurs when a task is waiting on a latch for a buffer that is not in an I/O request. The latch request is in Update mode. PAGELATCH_X Explanation: When there is a contention of access of the in-memory pages, this wait type shows up. It is quite possible that some of the pages in the memory are of very high demand. For the SQL Server to access them and put a latch on the pages, it will have to wait. This wait type is usually created at the same time. Additionally, it is commonly visible when the TempDB has higher contention as well. If there are indexes that are heavily used, contention can be created as well, leading to this wait type. Reducing PAGELATCH_X wait: The following counters are useful to understand the status of the PAGELATCH: Average Latch Wait Time (ms): The wait time for latch requests that have to wait. Latch Waits/sec: This is the number of latch requests that could not be granted immediately. Total Latch Wait Time (ms): This is the total latch wait time for latch requests in the last second. If there is TempDB contention, I suggest that you read the blog post of Robert Davis right away. He has written an excellent blog post regarding how to find out TempDB contention. The same blog post explains the terms in the allocation of GAM, SGAM and PFS. If there was a TempDB contention, Paul Randal explains the optimal settings for the TempDB in his misconceptions series. Trace Flag 1118 can be useful but use it very carefully. I totally understand that this blog post is not as clear as my other blog posts. I suggest if this wait stats is on one of your higher wait type. Do leave a comment or send me an email and I will get back to you with my solution for your situation. May the looking at all other wait stats and types together become effective as this wait type can help suggest proper bottleneck in your system. 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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  • 409 CONFLICT : MAAS

    - by amir beygi
    I have some problem with my MAAS. juju bootstrap result: 2012-08-31 03:59:17,721 INFO Bootstrapping environment 'maas' (origin: distro type: maas)... Unexpected Error interacting with provider: 409 CONFLICT 2012-08-31 03:59:17,951 ERROR Unexpected Error interacting with provider: 409 CONFLICT Also i have 3 nodes in Commissioning status (delete node is disable and no start button) , DHCP seems working because LAN boot is working but boot but ends with : ALERT! /dev/disk/by-label/cloudimg-rootfs does not exist. Dropping to a shell! BusyBox.... (initramfs)

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  • Option Trading: Getting the most out of the event session options

    - by extended_events
    You can control different aspects of how an event session behaves by setting the event session options as part of the CREATE EVENT SESSION DDL. The default settings for the event session options are designed to handle most of the common event collection situations so I generally recommend that you just use the defaults. Like everything in the real world though, there are going to be a handful of “special cases” that require something different. This post focuses on identifying the special cases and the correct use of the options to accommodate those cases. There is a reason it’s called Default The default session options specify a total event buffer size of 4 MB with a 30 second latency. Translating this into human terms; this means that our default behavior is that the system will start processing events from the event buffer when we reach about 1.3 MB of events or after 30 seconds, which ever comes first. Aside: What’s up with the 1.3 MB, I thought you said the buffer was 4 MB?The Extended Events engine takes the total buffer size specified by MAX_MEMORY (4MB by default) and divides it into 3 equally sized buffers. This is done so that a session can be publishing events to one buffer while other buffers are being processed. There are always at least three buffers; how to get more than three is covered later. Using this configuration, the Extended Events engine can “keep up” with most event sessions on standard workloads. Why is this? The fact is that most events are small, really small; on the order of a couple hundred bytes. Even when you start considering events that carry dynamically sized data (eg. binary, text, etc.) or adding actions that collect additional data, the total size of the event is still likely to be pretty small. This means that each buffer can likely hold thousands of events before it has to be processed. When the event buffers are finally processed there is an economy of scale achieved since most targets support bulk processing of the events so they are processed at the buffer level rather than the individual event level. When all this is working together it’s more likely that a full buffer will be processed and put back into the ready queue before the remaining buffers (remember, there are at least three) are full. I know what you’re going to say: “My server is exceptional! My workload is so massive it defies categorization!” OK, maybe you weren’t going to say that exactly, but you were probably thinking it. The point is that there are situations that won’t be covered by the Default, but that’s a good place to start and this post assumes you’ve started there so that you have something to look at in order to determine if you do have a special case that needs different settings. So let’s get to the special cases… What event just fired?! How about now?! Now?! If you believe the commercial adage from Heinz Ketchup (Heinz Slow Good Ketchup ad on You Tube), some things are worth the wait. This is not a belief held by most DBAs, particularly DBAs who are looking for an answer to a troubleshooting question fast. If you’re one of these anxious DBAs, or maybe just a Program Manager doing a demo, then 30 seconds might be longer than you’re comfortable waiting. If you find yourself in this situation then consider changing the MAX_DISPATCH_LATENCY option for your event session. This option will force the event buffers to be processed based on your time schedule. This option only makes sense for the asynchronous targets since those are the ones where we allow events to build up in the event buffer – if you’re using one of the synchronous targets this option isn’t relevant. Avoid forgotten events by increasing your memory Have you ever had one of those days where you keep forgetting things? That can happen in Extended Events too; we call it dropped events. In order to optimizes for server performance and help ensure that the Extended Events doesn’t block the server if to drop events that can’t be published to a buffer because the buffer is full. You can determine if events are being dropped from a session by querying the dm_xe_sessions DMV and looking at the dropped_event_count field. Aside: Should you care if you’re dropping events?Maybe not – think about why you’re collecting data in the first place and whether you’re really going to miss a few dropped events. For example, if you’re collecting query duration stats over thousands of executions of a query it won’t make a huge difference to miss a couple executions. Use your best judgment. If you find that your session is dropping events it means that the event buffer is not large enough to handle the volume of events that are being published. There are two ways to address this problem. First, you could collect fewer events – examine you session to see if you are over collecting. Do you need all the actions you’ve specified? Could you apply a predicate to be more specific about when you fire the event? Assuming the session is defined correctly, the next option is to change the MAX_MEMORY option to a larger number. Picking the right event buffer size might take some trial and error, but a good place to start is with the number of dropped events compared to the number you’ve collected. Aside: There are three different behaviors for dropping events that you specify using the EVENT_RETENTION_MODE option. The default is to allow single event loss and you should stick with this setting since it is the best choice for keeping the impact on server performance low.You’ll be tempted to use the setting to not lose any events (NO_EVENT_LOSS) – resist this urge since it can result in blocking on the server. If you’re worried that you’re losing events you should be increasing your event buffer memory as described in this section. Some events are too big to fail A less common reason for dropping an event is when an event is so large that it can’t fit into the event buffer. Even though most events are going to be small, you might find a condition that occasionally generates a very large event. You can determine if your session is dropping large events by looking at the dm_xe_sessions DMV once again, this time check the largest_event_dropped_size. If this value is larger than the size of your event buffer [remember, the size of your event buffer, by default, is max_memory / 3] then you need a large event buffer. To specify a large event buffer you set the MAX_EVENT_SIZE option to a value large enough to fit the largest event dropped based on data from the DMV. When you set this option the Extended Events engine will create two buffers of this size to accommodate these large events. As an added bonus (no extra charge) the large event buffer will also be used to store normal events in the cases where the normal event buffers are all full and waiting to be processed. (Note: This is just a side-effect, not the intended use. If you’re dropping many normal events then you should increase your normal event buffer size.) Partitioning: moving your events to a sub-division Earlier I alluded to the fact that you can configure your event session to use more than the standard three event buffers – this is called partitioning and is controlled by the MEMORY_PARTITION_MODE option. The result of setting this option is fairly easy to explain, but knowing when to use it is a bit more art than science. First the science… You can configure partitioning in three ways: None, Per NUMA Node & Per CPU. This specifies the location where sets of event buffers are created with fairly obvious implication. There are rules we follow for sub-dividing the total memory (specified by MAX_MEMORY) between all the event buffers that are specific to the mode used: None: 3 buffers (fixed)Node: 3 * number_of_nodesCPU: 2.5 * number_of_cpus Here are some examples of what this means for different Node/CPU counts: Configuration None Node CPU 2 CPUs, 1 Node 3 buffers 3 buffers 5 buffers 6 CPUs, 2 Node 3 buffers 6 buffers 15 buffers 40 CPUs, 5 Nodes 3 buffers 15 buffers 100 buffers   Aside: Buffer size on multi-processor computersAs the number of Nodes or CPUs increases, the size of the event buffer gets smaller because the total memory is sub-divided into more pieces. The defaults will hold up to this for a while since each buffer set is holding events only from the Node or CPU that it is associated with, but at some point the buffers will get too small and you’ll either see events being dropped or you’ll get an error when you create your session because you’re below the minimum buffer size. Increase the MAX_MEMORY setting to an appropriate number for the configuration. The most likely reason to start partitioning is going to be related to performance. If you notice that running an event session is impacting the performance of your server beyond a reasonably expected level [Yes, there is a reasonably expected level of work required to collect events.] then partitioning might be an answer. Before you partition you might want to check a few other things: Is your event retention set to NO_EVENT_LOSS and causing blocking? (I told you not to do this.) Consider changing your event loss mode or increasing memory. Are you over collecting and causing more work than necessary? Consider adding predicates to events or removing unnecessary events and actions from your session. Are you writing the file target to the same slow disk that you use for TempDB and your other high activity databases? <kidding> <not really> It’s always worth considering the end to end picture – if you’re writing events to a file you can be impacted by I/O, network; all the usual stuff. Assuming you’ve ruled out the obvious (and not so obvious) issues, there are performance conditions that will be addressed by partitioning. For example, it’s possible to have a successful event session (eg. no dropped events) but still see a performance impact because you have many CPUs all attempting to write to the same free buffer and having to wait in line to finish their work. This is a case where partitioning would relieve the contention between the different CPUs and likely reduce the performance impact cause by the event session. There is no DMV you can check to find these conditions – sorry – that’s where the art comes in. This is  largely a matter of experimentation. On the bright side you probably won’t need to to worry about this level of detail all that often. The performance impact of Extended Events is significantly lower than what you may be used to with SQL Trace. You will likely only care about the impact if you are trying to set up a long running event session that will be part of your everyday workload – sessions used for short term troubleshooting will likely fall into the “reasonably expected impact” category. Hey buddy – I think you forgot something OK, there are two options I didn’t cover: STARTUP_STATE & TRACK_CAUSALITY. If you want your event sessions to start automatically when the server starts, set the STARTUP_STATE option to ON. (Now there is only one option I didn’t cover.) I’m going to leave causality for another post since it’s not really related to session behavior, it’s more about event analysis. - Mike Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • FAT Volume and CE

    - by Kate Moss' Open Space
    Whenever we format a disk volume, it is a good idea to name the label so it will be easier to categorize. To label a volume, we can use LABEL command or UI depends on your preference. Windows CE does provide FAT driver and support various format (FAT12, FAT16,FAT32, ExFAT and TFAT - transaction-safe FAT) and many feature to let you scan and even defrag the volume but not labeling. At any time you format a volume in CE and then mount it on PC, the label is always empty! Of course, you can always label the volume on PC, even it is formatted in CE. So looks like CE does not care about the volume label at all, neither report the label to OS nor changing the label on FAT.So how can we set the volume label in CE? To Answer this question, we need to know how does FAT stores the volume label. Here are some on-line resources are handy for parsing FAT. http://en.wikipedia.org/wiki/File_Allocation_Table http://www.pjrc.com/tech/8051/ide/fat32.html http://www.microsoft.com/whdc/system/platform/firmware/fatgen.mspx You can refer to PUBLIC\COMMON\OAK\DRIVERS\FSD\FATUTIL\MAIN\bootsec.h and dosbpb.h or the above links for the fields we discuss here. The first sector of a FAT Volume (it is not necessary to be the first sector of a disk.) is a FAT boot sector and BPB (BIOS Parameter Block). And at offset 43, bgbsVolumeLabel (or bsVolumeLabel on FAT16) is for storing the volume lable, but note in the spec also indicates "FAT file system drivers should make sure that they update this field when the volume label file in the root directory has its name changed or created.". So we can't just simply update the bgbsVolumeLabel but also need to create a volume lable file in root directory. The volume lable file is not a real file but just a file entry in root directory with zero file lenth and a very special file attribute, ATTR_VOLUME_ID. (defined in public\common\oak\drivers\fsd\fatutil\MAIN\fatutilp.h) Locating and accessing bootsector is quite straight forward, as long as we know the starting sector of a FAT volume, that's it. But where is the root directory? The layout of a typical FAT is like this Boot sector (Volume ID in the figure) followed by Reserved Sectors (1 on FAT12/16 and 32 on FAT32), then FAT chain table(s) (can be 1 or 2), after that is the root directory (FAT12/16 and not shows in the figure) then begining of the File and Directories. In FAT12/16, the root directory is placed right after FAT so it is not hard to caculate the offset in the volume. But in FAT32, this rule is no longer true: the first cluster of the root directory is determined by BGBPB_RootDirStrtClus (or offset 44 in boot sector). Although this field is usually 0x00000002 (it is how CE initial the root directory after formating a volume. Note we should never assume it is always true) which means the first cluster contains data but not like the root directory is contiguous in FAT12/16, it is just like a regular file can be fragmented. So we need to access the root directory (of FAT32) hopping one cluster to another by traversing FAT table. Let's trace the code now. Although the source of FAT driver is not available in CE Shared Source program, but the formatter, Fatutil.dll, is available in public\common\oak\drivers\fsd\fatutil\MAIN\formatdisk.cpp. Be aware the public code only provides formatter for FAT12/16/32 for ExFAT it is still not available. FormatVolumeInternal is the main worker function. With the knowledge here, you should be able the trace the code easily. But I would like to discuss the following code pieces     dwReservedSectors = (fo.dwFatVersion == 32) ? 32 : 1;     dwRootEntries = (fo.dwFatVersion == 32) ? 0 : fo.dwRootEntries; Note the dwReservedSectors is 32 in FAT32 and 1 in FAT12/16. Root Entries is another different mentioned in previous paragraph, 0 for FAT32 (dynamic allocated) and fixed size (usually 512, defined in DEFAULT_ROOT_ENTRIES in public\common\sdk\inc\fatutil.h) And then here   memset(pBootSec->bsVolumeLabel, 0x20, sizeof(pBootSec->bsVolumeLabel)); It sets the Volume Label as empty string. Now let's carry on to the next section - write the root directory.     if (fo.dwFatVersion == 32) {         if (!(fo.dwFlags & FATUTIL_FORMAT_TFAT)) {             dwRootSectors = dwSectorsPerCluster;         }         else {             DIRENTRY    dirEntry;             DWORD       offset;             int               iVolumeNo;             memset(pbBlock, 0, pdi->di_bytes_per_sect);             memset(&dirEntry, 0, sizeof(DIRENTRY));                         dirEntry.de_attr = ATTR_VOLUME_ID;             // the first one is volume label             memcpy(dirEntry.de_name, "TFAT       ", sizeof (dirEntry.de_name));             memcpy(pbBlock, &dirEntry, sizeof(dirEntry));              ...             // Skip the next step of zeroing out clusters             dwCurrentSec += dwSectorsPerCluster;             dwRootSectors = 0;         }     }     // Each new root directory sector needs to be zeroed.     memset(pbBlock, 0, cbSizeBlk);     iRootSec=0;     while ( iRootSec < dwRootSectors) { Basically, the code zero out the each entry in root directory depends on dwRootSectors. In FAT12/16, the dwRootSectors is calculated as the sectors we need for the root entries (512 for most of the case) and in FAT32 it just zero out the one cluster. Please note that, if it is a TFAT volume, it initialize the root directory with special volume label entries for some special purpose. Despite to its unusual initialization process for TFAT, it does provide a example for how to create a volume entry. With some minor modification, we can assign the volume label in FAT formatter and also remember to sync the volume label with bsVolumeLabel or bgbsVolumeLabel in boot sector.

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  • NTFS partitions hidden under EXT4 file system / partition...want to recover files from NTFS

    - by user7534
    I am new to ubuntu, but very impressed with the system. so one day i tried installing ubuntu 10.10 along with windows in dual boot first place it didnt get installed properly and during second attempt i could do it right but oh...i lost my windows 7 , here is my problem and what i have done till now. i have hdd installed with ubuntu same disk have windows partitions and i need to extract data from those ...very very important i tried to access the same from ubuntu ...can not access it, 3.reinstalled the windows 7 , hdd is not detected 4.during installation ubuntu gone , so reintalled scan in ubuntu says hdd is fine and DiskInternals linux reader actual show the NTFS partitions , recovery tool not able to get any data out. , please help i need data from these partitions...please I feel that i have put ext4 partition on ntfs filesystem...and now not able to access it

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  • The Evolution of Link’s Swords [Wallpaper]

    - by Jason Fitzpatrick
    If you’re a fan of all things Legend of Zelda, this high-resolution wallpaper showcases all the swords from every Legend of Zelda game. In addition to the wallpaper that gathers all the swords together in one place, you can also check out the description on the wallpaper’s Deviant Art page to grab high-resolution images of each individual sword. Hit up the link below to grab both the wallpaper and the individual renderings. The Evolution of Link’s Swords [Deviant Art] 7 Ways To Free Up Hard Disk Space On Windows HTG Explains: How System Restore Works in Windows HTG Explains: How Antivirus Software Works

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  • Getting WCF Bindings and Behaviors from any config source

    The need of loading WCF bindings or behaviors from different sources such as files in a disk or databases is a common requirement when dealing with configuration either on the client side or the service side. The traditional way to accomplish this in WCF is loading everything from the standard configuration section (serviceModel section) or creating all the bindings and behaviors by hand in code. However, there is a solution in the middle that becomes handy when more flexibility is needed. This...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • ~/.xsession-errors is 2.7gb big (and growing), on fresh install, caused by gnome-settings-daemon errors

    - by Alex Black
    I've just installed Ubuntu 10.10 x64, activated the recommended Nvidia drivers, and I noticed my hard disk space is disappearing, I narrowed the culprit down to this: alex@alex-home:~$ ls -la .x* -rw------- 1 alex alex 4436076400 2010-11-19 22:35 .xsession-errors -rw------- 1 alex alex 10495 2010-11-19 21:46 .xsession-errors.old Any idea what this file is, why its so big, and why its growing? A few seconds later: alex@alex-home:~$ ls -la .x* -rw------- 1 alex alex 5143604317 2010-11-19 22:36 .xsession-errors -rw------- 1 alex alex 10495 2010-11-19 21:46 .xsession-errors.old tailing it: alex@alex-home:~$ tail .xsession-errors (gnome-settings-daemon:1514): GLib-GObject-CRITICAL **: g_object_unref: assertion `G_IS_OBJECT (object)' failed (gnome-settings-daemon:1514): GLib-GObject-CRITICAL **: g_object_unref: assertion `G_IS_OBJECT (object)' failed (gnome-settings-daemon:1514): GLib-GObject-CRITICAL **: g_object_unref: assertion `G_IS_OBJECT (object)' failed (gnome-settings-daemon:1514): GLib-GObject-CRITICAL **: g_object_unref: assertion `G_IS_OBJECT (object)' failed (gnome-settings-daemon:1514): GLib-GObject-CRITICAL **: g_object_unref: assertion `G_IS_OBJECT (object)' failed Also, the process "gnome-settings" seems to be using 100% cpu: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1514 alex 20 0 268m 10m 7044 R 100 0.1 7:06.10 gnome-settings-

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  • Clean up after Visual Studio

    - by psheriff
    As programmer’s we know that if we create a temporary file during the running of our application we need to make sure it is removed when the application or process is complete. We do this, but why can’t Microsoft do it? Visual Studio leaves tons of temporary files all over your hard drive. This is why, over time, your computer loses hard disk space. This blog post will show you some of the most common places where these files are left and which ones you can safely delete..NET Left OversVisual Studio is a great development environment for creating applications quickly. However, it will leave a lot of miscellaneous files all over your hard drive. There are a few locations on your hard drive that you should be checking to see if there are left-over folders or files that you can delete. I have attempted to gather as much data as I can about the various versions of .NET and operating systems. Of course, your mileage may vary on the folders and files I list here. In fact, this problem is so prevalent that PDSA has created a Computer Cleaner specifically for the Visual Studio developer.  Instructions for downloading our PDSA Developer Utilities (of which Computer Cleaner is one) are at the end of this blog entry.Each version of Visual Studio will create “temporary” files in different folders. The problem is that the files created are not always “temporary”. Most of the time these files do not get cleaned up like they should. Let’s look at some of the folders that you should periodically review and delete files within these folders.Temporary ASP.NET FilesAs you create and run ASP.NET applications from Visual Studio temporary files are placed into the <sysdrive>:\Windows\Microsoft.NET\Framework[64]\<vernum>\Temporary ASP.NET Files folder. The folders and files under this folder can be removed with no harm to your development computer. Do not remove the "Temporary ASP.NET Files" folder itself, just the folders underneath this folder. If you use IIS for ASP.NET development, you may need to run the iisreset.exe utility from the command prompt prior to deleting any files/folder under this folder. IIS will sometimes keep files in use in this folder and iisreset will release the locks so the files/folders can be deleted.Website CacheThis folder is similar to the ASP.NET Temporary Files folder in that it contains files from ASP.NET applications run from Visual Studio. This folder is located in each users local settings folder. The location will be a little different on each operating system. For example on Windows Vista/Windows 7, the folder is located at <sysdrive>:\Users\<UserName>\AppData\Local\Microsoft\WebsiteCache. If you are running Windows XP this folder is located at <sysdrive>:\ Documents and Settings\<UserName>\Local Settings\Application Data\Microsoft\WebsiteCache. Check these locations periodically and delete all files and folders under this directory.Visual Studio BackupThis backup folder is used by Visual Studio to store temporary files while you develop in Visual Studio. This folder never gets cleaned out, so you should periodically delete all files and folders under this directory. On Windows XP, this folder is located at <sysdrive>:\Documents and Settings\<UserName>\My Documents\Visual Studio 200[5|8]\Backup Files. On Windows Vista/Windows 7 this folder is located at <sysdrive>:\Users\<UserName>\Documents\Visual Studio 200[5|8]\.Assembly CacheNo, this is not the global assembly cache (GAC). It appears that this cache is only created when doing WPF or Silverlight development with Visual Studio 2008 or Visual Studio 2010. This folder is located in <sysdrive>:\ Users\<UserName>\AppData\Local\assembly\dl3 on Windows Vista/Windows 7. On Windows XP this folder is located at <sysdrive>:\ Documents and Settings\<UserName>\Local Settings\Application Data\assembly. If you have not done any WPF or Silverlight development, you may not find this particular folder on your machine.Project AssembliesThis is yet another folder where Visual Studio stores temporary files. You will find a folder for each project you have opened and worked on. This folder is located at <sysdrive>:\Documents and Settings\<UserName>Local Settings\Application Data\Microsoft\Visual Studio\[8|9].0\ProjectAssemblies on Windows XP. On Microsoft Vista/Windows 7 you will find this folder at <sysdrive>:\Users\<UserName>\AppData\Local\Microsoft\Visual Studio\[8|9].0\ProjectAssemblies.Remember not all of these folders will appear on your particular machine. Which ones do show up will depend on what version of Visual Studio you are using, whether or not you are doing desktop or web development, and the operating system you are using.SummaryTaking the time to periodically clean up after Visual Studio will aid in keeping your computer running quickly and increase the space on your hard drive. Another place to make sure you are cleaning up is your TEMP folder. Check your OS settings for the location of your particular TEMP folder and be sure to delete any files in here that are not in use. I routinely clean up the files and folders described in this blog post and I find that I actually eliminate errors in Visual Studio and I increase my hard disk space.NEW! PDSA has just published a “pre-release” of our PDSA Developer Utilities at http://www.pdsa.com/DeveloperUtilities that contains a Computer Cleaner utility which will clean up the above-mentioned folders, as well as a lot of other miscellaneous folders that get Visual Studio build-up. You can download a free trial at http://www.pdsa.com/DeveloperUtilities. If you wish to purchase our utilities through the month of November, 2011 you can use the RSVP code: DUNOV11 to get them for only $39. This is $40 off the regular price.NOTE: You can download this article and many samples like the one shown in this blog entry at my website. http://www.pdsa.com/downloads. Select “Tips and Tricks”, then “Developer Machine Clean Up” from the drop down list.Good Luck with your Coding,Paul Sheriff** SPECIAL OFFER FOR MY BLOG READERS **We frequently offer a FREE gift for readers of my blog. Visit http://www.pdsa.com/Event/Blog for your FREE gift!

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  • OWB 11gR2 - Early Arriving Facts

    - by Dawei Sun
    A common challenge when building ETL components for a data warehouse is how to handle early arriving facts. OWB 11gR2 introduced a new feature to address this for dimensional objects entitled Orphan Management. An orphan record is one that does not have a corresponding existing parent record. Orphan management automates the process of handling source rows that do not meet the requirements necessary to form a valid dimension or cube record. In this article, a simple example will be provided to show you how to use Orphan Management in OWB. We first import a sample MDL file that contains all the objects we need. Then we take some time to examine all the objects. After that, we prepare the source data, deploy the target table and dimension/cube loading map. Finally, we run the loading maps, and check the data in target dimension/cube tables. OK, let’s start… 1. Import MDL file and examine sample project First, download zip file from here, which includes a MDL file and three source data files. Then we open OWB design center, import orphan_management.mdl by using the menu File->Import->Warehouse Builder Metadata. Now we have several objects in BI_DEMO project as below: Mapping LOAD_CHANNELS_OM: The mapping for dimension loading. Mapping LOAD_SALES_OM: The mapping for cube loading. Dimension CHANNELS_OM: The dimension that contains channels data. Cube SALES_OM: The cube that contains sales data. Table CHANNELS_OM: The star implementation table of dimension CHANNELS_OM. Table SALES_OM: The star implementation table of cube SALES_OM. Table SRC_CHANNELS: The source table of channels data, that will be loaded into dimension CHANNELS_OM. Table SRC_ORDERS and SRC_ORDER_ITEMS: The source tables of sales data that will be loaded into cube SALES_OM. Sequence CLASS_OM_DIM_SEQ: The sequence used for loading dimension CHANNELS_OM. Dimension CHANNELS_OM This dimension has a hierarchy with three levels: TOTAL, CLASS and CHANNEL. Each level has three attributes: ID (surrogate key), NAME and SOURCE_ID (business key). It has a standard star implementation. The orphan management policy and the default parent setting are shown in the following screenshots: The orphan management policy options that you can set for loading are: Reject Orphan: The record is not inserted. Default Parent: You can specify a default parent record. This default record is used as the parent record for any record that does not have an existing parent record. If the default parent record does not exist, Warehouse Builder creates the default parent record. You specify the attribute values of the default parent record at the time of defining the dimensional object. If any ancestor of the default parent does not exist, Warehouse Builder also creates this record. No Maintenance: This is the default behavior. Warehouse Builder does not actively detect, reject, or fix orphan records. While removing data from a dimension, you can select one of the following orphan management policies: Reject Removal: Warehouse Builder does not allow you to delete the record if it has existing child records. No Maintenance: This is the default behavior. Warehouse Builder does not actively detect, reject, or fix orphan records. (More details are at http://download.oracle.com/docs/cd/E11882_01/owb.112/e10935/dim_objects.htm#insertedID1) Cube SALES_OM This cube is references to dimension CHANNELS_OM. It has three measures: AMOUNT, QUANTITY and COST. The orphan management policy setting are shown as following screenshot: The orphan management policy options that you can set for loading are: No Maintenance: Warehouse Builder does not actively detect, reject, or fix orphan rows. Default Dimension Record: Warehouse Builder assigns a default dimension record for any row that has an invalid or null dimension key value. Use the Settings button to define the default parent row. Reject Orphan: Warehouse Builder does not insert the row if it does not have an existing dimension record. (More details are at http://download.oracle.com/docs/cd/E11882_01/owb.112/e10935/dim_objects.htm#BABEACDG) Mapping LOAD_CHANNELS_OM This mapping loads source data from table SRC_CHANNELS to dimension CHANNELS_OM. The operator CHANNELS_IN is bound to table SRC_CHANNELS; CHANNELS_OUT is bound to dimension CHANNELS_OM. The TOTALS operator is used for generating a constant value for the top level in the dimension. The CLASS_FILTER operator is used to filter out the “invalid” class name, so then we can see what will happen when those channel records with an “invalid” parent are loading into dimension. Some properties of the dimension operator in this mapping are important to orphan management. See the screenshot below: Create Default Level Records: If YES, then default level records will be created. This property must be set to YES for dimensions and cubes if one of their orphan management policies is “Default Parent” or “Default Dimension Record”. This property is set to NO by default, so the user may need to set this to YES manually. LOAD policy for INVALID keys/ LOAD policy for NULL keys: These two properties have the same meaning as in the dimension editor. The values are set to the same as the dimension value when user drops the dimension into the mapping. The user does not need to modify these properties. Record Error Rows: If YES, error rows will be inserted into error table when loading the dimension. REMOVE Orphan Policy: This property is used when removing data from a dimension. Since the dimension loading type is set to LOAD in this example, this property is disabled. Mapping LOAD_SALES_OM This mapping loads source data from table SRC_ORDERS and SRC_ORDER_ITEMS to cube SALES_OM. This mapping seems a little bit complicated, but operators in the red rectangle are used to filter out and generate the records with “invalid” or “null” dimension keys. Some properties of the cube operator in a mapping are important to orphan management. See the screenshot below: Enable Source Aggregation: Should be checked in this example. If the default dimension record orphan policy is set for the cube operator, then it is recommended that source aggregation also be enabled. Otherwise, the orphan management processing may produce multiple fact rows with the same default dimension references, which will cause an “unstable rowset” execution error in the database, since the dimension refs are used as update match attributes for updating the fact table. LOAD policy for INVALID keys/ LOAD policy for NULL keys: These two properties have the same meaning as in the cube editor. The values are set to the same as in the cube editor when the user drops the cube into the mapping. The user does not need to modify these properties. Record Error Rows: If YES, error rows will be inserted into error table when loading the cube. 2. Deploy objects and mappings We now can deploy the objects. First, make sure location SALES_WH_LOCAL has been correctly configured. Then open Control Center Manager by using the menu Tools->Control Center Manager. Expand BI_DEMO->SALES_WH_LOCAL, click SALES_WH node on the project tree. We can see the following objects: Deploy all the objects in the following order: Sequence CLASS_OM_DIM_SEQ Table CHANNELS_OM, SALES_OM, SRC_CHANNELS, SRC_ORDERS, SRC_ORDER_ITEMS Dimension CHANNELS_OM Cube SALES_OM Mapping LOAD_CHANNELS_OM, LOAD_SALES_OM Note that we deployed source tables as well. Normally, we import source table from database instead of deploying them to target schema. However, in this example, we designed the source tables in OWB and deployed them to database for the purpose of this demonstration. 3. Prepare and examine source data Before running the mappings, we need to populate and examine the source data first. Run SRC_CHANNELS.sql, SRC_ORDERS.sql and SRC_ORDER_ITEMS.sql as target user. Then we check the data in these three tables. Table SRC_CHANNELS SQL> select rownum, id, class, name from src_channels; Records 1~5 are correct; they should be loaded into dimension without error. Records 6,7 and 8 have null parents; they should be loaded into dimension with a default parent value, and should be inserted into error table at the same time. Records 9, 10 and 11 have “invalid” parents; they should be rejected by dimension, and inserted into error table. Table SRC_ORDERS and SRC_ORDER_ITEMS SQL> select rownum, a.id, a.channel, b.amount, b.quantity, b.cost from src_orders a, src_order_items b where a.id = b.order_id; Record 178 has null dimension reference; it should be loaded into cube with a default dimension reference, and should be inserted into error table at the same time. Record 179 has “invalid” dimension reference; it should be rejected by cube, and inserted into error table. Other records should be aggregated and loaded into cube correctly. 4. Run the mappings and examine the target data In the Control Center Manager, expand BI_DEMO-> SALES_WH_LOCAL-> SALES_WH-> Mappings, right click on LOAD_CHANNELS_OM node, click Start. Use the same way to run mapping LOAD_SALES_OM. When they successfully finished, we can check the data in target tables. Table CHANNELS_OM SQL> select rownum, total_id, total_name, total_source_id, class_id,class_name, class_source_id, channel_id, channel_name,channel_source_id from channels_om order by abs(dimension_key); Records 1,2 and 3 are the default dimension records for the three levels. Records 8, 10 and 15 are the loaded records that originally have null parents. We see their parents name (class_name) is set to DEF_CLASS_NAME. Those records whose CHANNEL_NAME are Special_4, Special_5 and Special_6 are not loaded to this table because of the invalid parent. Error Table CHANNELS_OM_ERR SQL> select rownum, class_source_id, channel_id, channel_name,channel_source_id, err$$$_error_reason from channels_om_err order by channel_name; We can see all the record with null parent or invalid parent are inserted into this error table. Error reason is “Default parent used for record” for the first three records, and “No parent found for record” for the last three. Table SALES_OM SQL> select a.*, b.channel_name from sales_om a, channels_om b where a.channels=b.channel_id; We can see the order record with null channel_name has been loaded into target table with a default channel_name. The one with “invalid” channel_name are not loaded. Error Table SALES_OM_ERR SQL> select a.amount, a.cost, a.quantity, a.channels, b.channel_name, a.err$$$_error_reason from sales_om_err a, channels_om b where a.channels=b.channel_id(+); We can see the order records with null or invalid channel_name are inserted into error table. If the dimension reference column is null, the error reason is “Default dimension record used for fact”. If it is invalid, the error reason is “Dimension record not found for fact”. Summary In summary, this article illustrated the Orphan Management feature in OWB 11gR2. Automated orphan management policies improve ETL developer and administrator productivity by addressing an important cause of cube and dimension load failures, without requiring developers to explicitly build logic to handle these orphan rows.

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  • How do I disable unwanted iPXE boot attempt in Libvirt/qemu-kvm?

    - by gertvdijk
    Somehow after upgrading to 12.04, my virtual machines always boot with an attempt to boot from the network first. See this: while I don't have any PXE configuration set: I've tried: to disable SPICE, by changing the emulator to /usr/bin/kvm from /usr/bin/kvm-spice by editing the XML. Ctrl+B to configure the iPXE, but it doesn't let disable this as a boot option. setting another type of NIC - not an option, I need virtio for performance reasons. However, e1000e doesn't work either. removing the NIC: works. However, I need network. Googling around. Hard. Lots of result is about failing configured PXE boots. Not a big issue, but it increases boot times by 50-100% here (booting from SSD), so it's relatively long and annoys me. How can I disable this and boot from virtual hard disk directly?

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  • ERRNO 5 Input/Output Error

    - by CCarey
    Going up for my first ubuntu installation and encountered a critical error. Mind that I am installing on my Macbook Pro, and have already removed all other partitions. (I'm installing with a CD) My Ubuntu version is: "ubuntu-12.10-desktop-i386" So once the installation gets to something around "Finishing copying files", a great big "[ERRNO5] Input/Output Error" pops up on the screen. Obviously this halts and crashes the whole installation. Now, I've already run a disk check, memtest, and cpu load test, and all came up green. I have also redownloaded ubuntu twice, md5 match both times, and burnt four disks. None got past this error. If anyone could help me out, that would be greatly appreciated! Cheers!

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  • 16 Over The Top Video Game Mods [Video]

    - by Jason Fitzpatrick
    This roundup of video game mods includes such gems as My Little Ponies in Skyrim and Batman in Doom. One of the more entertaining videos in the mix? Randy “Macho Man” Savage as a Skyrim dragon. Hit up the link below for the full roundup at Neatorama. The 16 Funniest and Coolest Video Game Mods Ever HTG Explains: Why You Only Have to Wipe a Disk Once to Erase It HTG Explains: Learn How Websites Are Tracking You Online Here’s How to Download Windows 8 Release Preview Right Now

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  • NTFS partitions hidden under EXT4 file system / partion...want to recover files from NTFS

    - by user7534
    Hi all, I am new to ubuntu, but very impressed with the system. so one day i tried installing ubuntu 10.10 along with windows in dual boot first place it didnt get installed properly and during second attempt i could do it right but oh...i lost my windows 7 , here is my problem and what i have done till now. i have hdd installed with ubuntu same disk have windows partitions and i need to extract data from those ...very very important i tried to access the same from ubuntu ...can not access it, 3.reinstalled the windows 7 , hdd is not detected 4.during installation ubuntu gone , so reintalled scan in ubuntu says hdd is fine and DiskInternals linux reader actual show the NTFS partitions , recovery tool not able to get any data out. , please help i need data from these partitions...please I feel that i have put ext4 partition on ntfs filesystem...and now not able to access it

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  • World Record Batch Rate on Oracle JD Edwards Consolidated Workload with SPARC T4-2

    - by Brian
    Oracle produced a World Record batch throughput for single system results on Oracle's JD Edwards EnterpriseOne Day-in-the-Life benchmark using Oracle's SPARC T4-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2. The workload includes both online and batch workload. The SPARC T4-2 server delivered a result of 8,000 online users while concurrently executing a mix of JD Edwards EnterpriseOne Long and Short batch processes at 95.5 UBEs/min (Universal Batch Engines per minute). In order to obtain this record benchmark result, the JD Edwards EnterpriseOne, Oracle WebLogic and Oracle Database 11g Release 2 servers were executed each in separate Oracle Solaris Containers which enabled optimal system resources distribution and performance together with scalable and manageable virtualization. One SPARC T4-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2 utilized only 55% of the available CPU power. The Oracle DB server in a Shared Server configuration allows for optimized CPU resource utilization and significant memory savings on the SPARC T4-2 server without sacrificing performance. This configuration with SPARC T4-2 server has achieved 33% more Users/core, 47% more UBEs/min and 78% more Users/rack unit than the IBM Power 770 server. The SPARC T4-2 server with 2 processors ran the JD Edwards "Day-in-the-Life" benchmark and supported 8,000 concurrent online users while concurrently executing mixed batch workloads at 95.5 UBEs per minute. The IBM Power 770 server with twice as many processors supported only 12,000 concurrent online users while concurrently executing mixed batch workloads at only 65 UBEs per minute. This benchmark demonstrates more than 2x cost savings by consolidating the complete solution in a single SPARC T4-2 server compared to earlier published results of 10,000 users and 67 UBEs per minute on two SPARC T4-2 and SPARC T4-1. The Oracle DB server used mirrored (RAID 1) volumes for the database providing high availability for the data without impacting performance. Performance Landscape JD Edwards EnterpriseOne Day in the Life (DIL) Benchmark Consolidated Online with Batch Workload System Rack Units BatchRate(UBEs/m) Online Users Users /Units Users /Core Version SPARC T4-2 (2 x SPARC T4, 2.85 GHz) 3 95.5 8,000 2,667 500 9.0.2 IBM Power 770 (4 x POWER7, 3.3 GHz, 32 cores) 8 65 12,000 1,500 375 9.0.2 Batch Rate (UBEs/m) — Batch transaction rate in UBEs per minute Configuration Summary Hardware Configuration: 1 x SPARC T4-2 server with 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 4 x 300 GB 10K RPM SAS internal disk 2 x 300 GB internal SSD 2 x Sun Storage F5100 Flash Arrays Software Configuration: Oracle Solaris 10 Oracle Solaris Containers JD Edwards EnterpriseOne 9.0.2 JD Edwards EnterpriseOne Tools (8.98.4.2) Oracle WebLogic Server 11g (10.3.4) Oracle HTTP Server 11g Oracle Database 11g Release 2 (11.2.0.1) Benchmark Description JD Edwards EnterpriseOne is an integrated applications suite of Enterprise Resource Planning (ERP) software. Oracle offers 70 JD Edwards EnterpriseOne application modules to support a diverse set of business operations. Oracle's Day in the Life (DIL) kit is a suite of scripts that exercises most common transactions of JD Edwards EnterpriseOne applications, including business processes such as payroll, sales order, purchase order, work order, and manufacturing processes, such as ship confirmation. These are labeled by industry acronyms such as SCM, CRM, HCM, SRM and FMS. The kit's scripts execute transactions typical of a mid-sized manufacturing company. The workload consists of online transactions and the UBE – Universal Business Engine workload of 61 short and 4 long UBEs. LoadRunner runs the DIL workload, collects the user’s transactions response times and reports the key metric of Combined Weighted Average Transaction Response time. The UBE processes workload runs from the JD Enterprise Application server. Oracle's UBE processes come as three flavors: Short UBEs < 1 minute engage in Business Report and Summary Analysis, Mid UBEs > 1 minute create a large report of Account, Balance, and Full Address, Long UBEs > 2 minutes simulate Payroll, Sales Order, night only jobs. The UBE workload generates large numbers of PDF files reports and log files. The UBE Queues are categorized as the QBATCHD, a single threaded queue for large and medium UBEs, and the QPROCESS queue for short UBEs run concurrently. Oracle's UBE process performance metric is Number of Maximum Concurrent UBE processes at transaction rate, UBEs/minute. Key Points and Best Practices Two JD Edwards EnterpriseOne Application Servers, two Oracle WebLogic Servers 11g Release 1 coupled with two Oracle Web Tier HTTP server instances and one Oracle Database 11g Release 2 database on a single SPARC T4-2 server were hosted in separate Oracle Solaris Containers bound to four processor sets to demonstrate consolidation of multiple applications, web servers and the database with best resource utilizations. Interrupt fencing was configured on all Oracle Solaris Containers to channel the interrupts to processors other than the processor sets used for the JD Edwards Application server, Oracle WebLogic servers and the database server. A Oracle WebLogic vertical cluster was configured on each WebServer Container with twelve managed instances each to load balance users' requests and to provide the infrastructure that enables scaling to high number of users with ease of deployment and high availability. The database log writer was run in the real time RT class and bound to a processor set. The database redo logs were configured on the raw disk partitions. The Oracle Solaris Container running the Enterprise Application server completed 61 Short UBEs, 4 Long UBEs concurrently as the mixed size batch workload. The mixed size UBEs ran concurrently from the Enterprise Application server with the 8,000 online users driven by the LoadRunner. See Also SPARC T4-2 Server oracle.com OTN JD Edwards EnterpriseOne oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Oracle Fusion Middleware oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 09/30/2012.

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  • The Internet of Things & Commerce: Part 2 -- Interview with Brian Celenza, Commerce Innovation Strategist

    - by Katrina Gosek, Director | Commerce Product Strategy-Oracle
    Internet of Things & Commerce Series: Part 2 (of 3) Welcome back to the second installation of my three part series on the Internet of Things & Commerce. A few weeks ago, I wrote “The Next 7,000 Days” about how we’ve become embedded in a digital architecture in the last 7,000 days since the birth of the internet – an architecture that everyday ties the massive expanse of the internet evermore closely with our physical lives. This blog series explores how this new blend of virtual and material will change how we shop and how businesses sell. Now enjoy reading my interview with Brian Celenza, one of the chief strategists in our Oracle Commerce innovation group. He comments on the past, present, and future of the how the growing Internet of Things relates and will relate to the buying and selling of goods on and offline. -------------------------------------------- QUESTION: You probably have one of the coolest jobs on our team, Brian – and frankly, one of the coolest jobs in our industry. As part of the innovation team for Oracle Commerce, you’re regularly working on bold features and groundbreaking commerce-focused experiences for our vision demos. As you look back over the past couple of years, what is the biggest trend (or trends) you’ve seen in digital commerce that started to bring us closer to this idea of what people are calling an “Internet of Things”? Brian: Well as you look back over the last couple of years, the speed at which change in our industry has moved looks like one of those blurred movement photos – you know the ones where the landscape blurs because the observer is moving so quickly your eye focus can’t keep up. But one thing that is absolutely clear is that the biggest catalyst for that speed of change – especially over the last three years – has been mobile. Mobile technology changed everything. Over the last three years the entire thought process of how to sell on (and offline) has shifted because of mobile technology advances. Particularly for eCommerce professionals who have started to move past the notion of “channels” for selling goods to this notion of “Mobile First”… then the Web site. Or more accurately, that everything – smartphones, web, store, tablet – is just one channel or has to act like one singular access point to the same product catalog, information and content. The most innovative eCommerce professionals realized some time ago that it’s not ideal to build an eCommerce Web site and then build everything on top of or off of it. Rather, they want to build an eCommerce API and then integrate it will all other systems. To accomplish this, they are leveraging all the latest mobile technologies or possibilities mobile technology has opened up: 4G and LTE, GPS, bluetooth, touch screens, apps, html5… How has this all started to come together for shopping experiences on and offline? Well to give you a personal example, I remember visiting an Apple store a few years ago and being amazed that I didn’t have to wait in line because a store associate knew everything about me from my ID – right there on the sales floor – and could check me out anywhere. Then just a few months later (when like any good addict) I went back to get the latest and greatest new gadget, I felt like I was stealing it because I could check myself out with my smartphone. I didn’t even need to see a sales associate OR go to a cash register. Amazing. And since then, all sort sorts of companies across all different types of industries – from food service to apparel –  are starting to see mobile payments in the billions of dollars now thanks not only to the convenience factor but to smart loyalty rewards programs as well. These are just some really simple current examples that come to mind. So many different things have happened in the last couple of years, it’s hard to really absorb all of the quickly – because as soon as you do, everything changes again! Just like that blurry speed photo image. For eCommerce, however, this type of new environment underscores the importance of building an eCommerce API – a platform that has services you can tap in to and build on as the landscape changes at a fever pitch. It’s a mobile first perspective. A web service perspective – particularly if you are thinking of how to engage customers across digital and physical spaces. —— QUESTION: Thanks for bringing us into the present – some really great examples you gave there to put things into perspective. So what do you see as the biggest trend right now around the “Internet of Things” – and what’s coming next few years? Brian: Honestly, even sitting where I am in the innovation group – it’s hard to look out even 12 months because, well, I don’t even think we’ve fully caught up with what is possible now. But I can definitely say that in the last 12 months and in the coming 12 months, in the technology and eCommerce world it’s all about iBeacons. iBeacons are awesome tools we have right now to tie together physical and digital shopping experiences. They know exactly where you are as a shopper and can communicate that to businesses. Currently there seem to be two camps of thought around iBeacons. First, many people are thinking of them like an “indoor GPS”, which to be fair they literally are. The use case this first camp envisions for iBeacons is primarily for advertising and marketing. So they use iBeacons to push location-based promotions to customers if they are close to a store or in a store. You may have seen these types of mobile promotions start to pop up occasionally on your smart phone as you pass by a store you’ve bought from in the past. That’s the work of iBeacons. But in my humble opinion, these promotions probably come too early in the customer journey and although they may be well timed and work to “convert” in some cases, I imagine in most they are just eroding customer trust because they are kind of a “one-size-fits-all” solution rather than one that is taking into account what exactly the customer might be looking for in that particular moment. Maybe they just want more information and a promotion is way too soon for that type of customer. The second camp is more in line with where my thinking falls. In this case, businesses take a more sensitive approach with iBeacons to customers’ needs. Instead of throwing out a “one-size-fits-all” to any passer by with iBeacons, the use case is more around looking at the physical proximity of a customer as an opportunity to provide a service: show expert reviews on a product they may be looking at in a particular aisle of a store, offer the opportunity to compare prices (and then offer a promotion), signal an in-store associate if a customer has been in the store for more than 10 minutes in one place. These are all less intrusive more value-driven uses of iBeacons. And they are more about building customer trust through service. To take this example a bit further into the future realm of “Big Data” and “Internet of Things” businesses could actually use the Oracle Commerce Platform and iBeacons to “silently” track customer movement w/in the store to provide higher quality service. And this doesn’t have to be creepy or intrusive. Simply if a customer has been in a particular department or aisle for more than a 5 or 10 minutes, an in-store associate could come over an offer some assistance already knowing customer preferences from their online profile and maybe even seeing the items in a shopping cart they started at home. None of this has to be revealed to the customer, but it certainly could boost the level of service an in-store sales associate could provide. Or, in another futuristic example, stores could use the digital footprint of the physical store transmitted by iBeacons to generate heat maps of the store that could be tracked over time. Imagine how much you could find out about which parts of the store are more busy during certain parts of the day or seasons. This could completely revolutionize how physical merchandising is deployed or where certain high value / new items are placed. And / or this use of iBeacons could also help businesses figure out if customers are getting held up in certain parts of the store during busy days like Black Friday. If long lines are causing customers to bounce from a physical store and leave those holiday gifts behind, maybe having employees with mobile check as an option could remove the cash register bottleneck. But going to back to my original statement, it’s all still very early in the story for iBeacons. The hardware manufacturers are still very new and there is still not one clear standard.  Honestly, it all goes back to building and maintaining an extensible and flexible platform for anywhere engagement. What you’re building today should allow you to rapidly take advantage of whatever unimaginable use cases wait around the corner. ------------------------------------------------------ I hope you enjoyed the brief interview with Brian. It’s really awesome to have such smart and innovation-minded individuals on our Oracle Commerce innovation team. Please join me again in a few weeks for Part 3 of this series where I interview one of the product managers on our team about how the blending of digital and in-store selling in influencing our product development and vision.

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  • Migrating SQL Server Databases – The DBA’s Checklist (Part 2)

    - by Sadequl Hussain
    Continuing from Part 1  , our Migration Checklist continues: Step 5: Update statistics It is always a good idea to update the statistics of the database that you have just installed or migrated. To do this, run the following command against the target database: sp_updatestats The sp_updatestats system stored procedure runs the UPDATE STATISTICS command against every user and system table in the database.  However, a word of caution: running the sp_updatestats against a database with a compatibility level below 90 (SQL Server 2005) will reset the automatic UPDATE STATISTICS settings for every index and statistics of every table in the database. You may therefore want to change the compatibility mode before you run the command. Another thing you should remember to do is to ensure the new database has its AUTO_CREATE_STATISTICS and AUTO_UPDATE_STATISTICS properties set to ON. You can do so using the ALTER DATABASE command or from the SSMS. Step 6: Set database options You may have to change the state of a database after it has been restored. If the database was changed to single-user or read-only mode before backup, the restored copy will also retain these settings. This may not be an issue when you are manually restoring from Enterprise Manager or the Management Studio since you can change the properties. However, this is something to be mindful of if the restore process is invoked by an automated job or script and the database needs to be written to immediately after restore. You may want to check the database’s status programmatically in such cases. Another important option you may want to set for the newly restored / attached database is PAGE_VERIFY. This option specifies how you want SQL Server to ensure the physical integrity of the data. It is a new option from SQL Server 2005 and can have three values: CHECKSUM (default for SQL Server 2005 and latter databases), TORN_PAGE_DETECTION (default when restoring a pre-SQL Server 2005 database) or NONE. Torn page detection was itself an option for SQL Server 2000 databases. From SQL Server 2005, when PAGE_VERIFY is set to CHECKSUM, the database engine calculates the checksum for a page’s contents and writes it to the page header before storing it in disk. When the page is read from the disk, the checksum is computed again and compared with the checksum stored in the header.  Torn page detection works much like the same way in that it stores a bit in the page header for every 512 byte sector. When data is read from the page, the torn page bits stored in the header is compared with the respective sector contents. When PAGE_VERIFY is set to NONE, SQL Server does not perform any checking, even if torn page data or checksums are present in the page header.  This may not be something you would want to set unless there is a very specific reason.  Microsoft suggests using the CHECKSUM page verify option as this offers more protection. Step 7: Map database users to logins A common database migration issue is related to user access. Windows and SQL Server native logins that existed in the source instance and had access to the database may not be present in the destination. Even if the logins exist in the destination, the mapping between the user accounts and the logins will not be automatic. You can use a special system stored procedure called sp_change_users_login to address these situations. The procedure needs to be run against the newly attached or restored database and can accept four parameters. Depending on what you want to do, you may be using less than four though. The first parameter, @Action, can take three values. When you specify @Action = ‘Report’, the system will provide you with a list of database users which are not mapped to any login. If you want to map a database user to an existing SQL Server login, the value for @Action will be ‘Update_One’. In this case, you will only need to provide the database user name and the login it will map to. So if your newly restored database has a user account called “bob” and there is already a SQL Server login with the same name and you want to map the user to the login, you will execute a query like the following: sp_change_users_login         @Action = ‘Update_One’,         @UserNamePattern = ‘bob’,         @LoginName = ‘bob’ If the login does not exist, you can instruct SQL Server to create the login with the same name. In this case you will need to provide a password for the login and the value of the @Action parameter will be ‘Auto_Fix’. If the login already exists, it will be automatically mapped to the user account. Unfortunately sp_change_users_login system stored procedure cannot be used to map database users to trusted logins (Windows accounts) in SQL Server. You will need to follow a manual process to re-map the database user accounts.  Continues…

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  • login to account reverts to login screen, guest login ok

    - by Emil Hansen
    When I get to the login screen, I put my password, and I only get a black screen for 2 seconds, then we're back at the login screen. When I log in to the guest account everything works perfectly. What I've tried; I deleted .Xauthority as per instructions from elsewhere. No luck I removed 2 lines I put in .profile. No change Installed Gnome, but Unity, Unity 2D, various vers of gnome, same thing. according to other q/a's, this could be caused by lack of disk space. I have 80 gigs free, so I would assume it's not that if I Ctrl+Alt+F2 at login, I can login in to my account in the "terminal" with no problem. I would really appreciate any help to restore my account, and thank you very much beforehand

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  • How does ecryptfs impact harddisk performance?

    - by Freddi
    I have my home directy encrypted with ecryptfs. Does ecryptfs lead to fragmentation? I have the feeling that reading files, displaying folders and login became continuously slower and slower (although it was not noticeably slow at the beginning). The hard disk makes a lot of seek noise even if I open only a text file. In /home/.ecryptfs I see many big archives (that probably contain the encrypted files), so I'm wondering if Linux file system online defragmentation gains anything here. What options do I have to increase performance? Should I decide whether I maybe better do without encryption?

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  • Three Ways to Access the Windows 8 Boot Options Menu

    - by Lori Kaufman
    The boot options have been consolidated in Windows 8 into a single menu, called the “boot options menu,” providing access to repair tools and options for changing Windows startup behavior, such as enabling debugging, booting into safe mode, and launching into a recovery environment. The days of pressing a function key or Esc to interrupt the boot process and get into the BIOS configuration (in UEFI enabled systems) are gone. There are three ways of accessing the new boot options menu in Windows 8 and we’ll show you how. 7 Ways To Free Up Hard Disk Space On Windows HTG Explains: How System Restore Works in Windows HTG Explains: How Antivirus Software Works

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  • Dual Boot ubuntu 12.04 and Windows 7 on two separate SSDs with UEFI

    - by Björn
    With the following setup I get a blinking cursor after installation: Windows 7 64bit installed in first SSD (not UEFI, using MBR) Installation of Ubuntu 12.04 64Bit on gpt partioned disk seems to work without problems but does not boot. It stops with a blinking cursor. I used the partitioning scheme described here. Partitioning scheme: sdb1 efi boot partition fat32 sdb2 root btrfs sdb3 home btrfs sdb4 swap Is it possible to mix uefi BIOS with MBR and gpt when using two separate SSDs? I tried grub2 into a MBR as well but it would not install there...

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  • SQL SERVER – Fundamentals of Columnstore Index

    - by pinaldave
    There are two kind of storage in database. Row Store and Column Store. Row store does exactly as the name suggests – stores rows of data on a page – and column store stores all the data in a column on the same page. These columns are much easier to search – instead of a query searching all the data in an entire row whether the data is relevant or not, column store queries need only to search much lesser number of the columns. This means major increases in search speed and hard drive use. Additionally, the column store indexes are heavily compressed, which translates to even greater memory and faster searches. I am sure this looks very exciting and it does not mean that you convert every single index from row store to column store index. One has to understand the proper places where to use row store or column store indexes. Let us understand in this article what is the difference in Columnstore type of index. Column store indexes are run by Microsoft’s VertiPaq technology. However, all you really need to know is that this method of storing data is columns on a single page is much faster and more efficient. Creating a column store index is very easy, and you don’t have to learn new syntax to create them. You just need to specify the keyword “COLUMNSTORE” and enter the data as you normally would. Keep in mind that once you add a column store to a table, though, you cannot delete, insert or update the data – it is READ ONLY. However, since column store will be mainly used for data warehousing, this should not be a big problem. You can always use partitioning to avoid rebuilding the index. A columnstore index stores each column in a separate set of disk pages, rather than storing multiple rows per page as data traditionally has been stored. The difference between column store and row store approaches is illustrated below: In case of the row store indexes multiple pages will contain multiple rows of the columns spanning across multiple pages. In case of column store indexes multiple pages will contain multiple single columns. This will lead only the columns needed to solve a query will be fetched from disk. Additionally there is good chance that there will be redundant data in a single column which will further help to compress the data, this will have positive effect on buffer hit rate as most of the data will be in memory and due to same it will not need to be retrieved. Let us see small example of how columnstore index improves the performance of the query on a large table. As a first step let us create databaseset which is large enough to show performance impact of columnstore index. The time taken to create sample database may vary on different computer based on the resources. USE AdventureWorks GO -- Create New Table CREATE TABLE [dbo].[MySalesOrderDetail]( [SalesOrderID] [int] NOT NULL, [SalesOrderDetailID] [int] NOT NULL, [CarrierTrackingNumber] [nvarchar](25) NULL, [OrderQty] [smallint] NOT NULL, [ProductID] [int] NOT NULL, [SpecialOfferID] [int] NOT NULL, [UnitPrice] [money] NOT NULL, [UnitPriceDiscount] [money] NOT NULL, [LineTotal] [numeric](38, 6) NOT NULL, [rowguid] [uniqueidentifier] NOT NULL, [ModifiedDate] [datetime] NOT NULL ) ON [PRIMARY] GO -- Create clustered index CREATE CLUSTERED INDEX [CL_MySalesOrderDetail] ON [dbo].[MySalesOrderDetail] ( [SalesOrderDetailID]) GO -- Create Sample Data Table -- WARNING: This Query may run upto 2-10 minutes based on your systems resources INSERT INTO [dbo].[MySalesOrderDetail] SELECT S1.* FROM Sales.SalesOrderDetail S1 GO 100 Now let us do quick performance test. I have kept STATISTICS IO ON for measuring how much IO following queries take. In my test first I will run query which will use regular index. We will note the IO usage of the query. After that we will create columnstore index and will measure the IO of the same. -- Performance Test -- Comparing Regular Index with ColumnStore Index USE AdventureWorks GO SET STATISTICS IO ON GO -- Select Table with regular Index SELECT ProductID, SUM(UnitPrice) SumUnitPrice, AVG(UnitPrice) AvgUnitPrice, SUM(OrderQty) SumOrderQty, AVG(OrderQty) AvgOrderQty FROM [dbo].[MySalesOrderDetail] GROUP BY ProductID ORDER BY ProductID GO -- Table 'MySalesOrderDetail'. Scan count 1, logical reads 342261, physical reads 0, read-ahead reads 0. -- Create ColumnStore Index CREATE NONCLUSTERED COLUMNSTORE INDEX [IX_MySalesOrderDetail_ColumnStore] ON [MySalesOrderDetail] (UnitPrice, OrderQty, ProductID) GO -- Select Table with Columnstore Index SELECT ProductID, SUM(UnitPrice) SumUnitPrice, AVG(UnitPrice) AvgUnitPrice, SUM(OrderQty) SumOrderQty, AVG(OrderQty) AvgOrderQty FROM [dbo].[MySalesOrderDetail] GROUP BY ProductID ORDER BY ProductID GO It is very clear from the results that query is performance extremely fast after creating ColumnStore Index. The amount of the pages it has to read to run query is drastically reduced as the column which are needed in the query are stored in the same page and query does not have to go through every single page to read those columns. If we enable execution plan and compare we can see that column store index performance way better than regular index in this case. Let us clean up the database. -- Cleanup DROP INDEX [IX_MySalesOrderDetail_ColumnStore] ON [dbo].[MySalesOrderDetail] GO TRUNCATE TABLE dbo.MySalesOrderDetail GO DROP TABLE dbo.MySalesOrderDetail GO In future posts we will see cases where Columnstore index is not appropriate solution as well few other tricks and tips of the columnstore index. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Index, SQL Optimization, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Add a Customizable, Free Application Launcher to your Windows Desktop

    - by Lori Kaufman
    RocketDock is an application launcher for Windows modeled after the Mac OS X launch toolbar. It’s a dock that sits along an edge of your screen and contains a collection of shortcuts that expand when you hover over them and launch programs when clicked. You can easily add shortcuts to programs, files, documents, folders, and even actions to the dock. The look of the dock is customizable using themes and icons. Docklets are available to help extend the functionality of your dock. We’ll show you how to install RocketDock, change the dock settings, add shortcuts to the dock, change the settings for shortcut icons, and add new themes to your dock. We’ll also show you how to install and setup a docklet, using the Stacks docklet as an example. HTG Explains: What Is RSS and How Can I Benefit From Using It? HTG Explains: Why You Only Have to Wipe a Disk Once to Erase It HTG Explains: Learn How Websites Are Tracking You Online

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  • Windows Shared Hosting with Web Deploy Windows Shared Hosting with Web Deploy [closed]

    - by Tom
    Possible Duplicate: How to find web hosting that meets my requirements? I'm looking for not too expensive quality shared hosting with "good" support (responsive, I don't ask for in the minute replies hehe). Here are the features that I need/I'd like to have: Plesk Panel (optional and would be awesome) 10+ MSSQL Databases 10+ Domain names 10+ Emails account (with forwarding/catch-all) 1000MB+ Disk size 50GB+ Bandwidth ASP.NET MVC 3 support Web Deploy support (important) PHP/MySQL support (optional) I tried some good web hosts but never stumble on a very good one. I liked Arvixe and Softsys but I'd like to know some others companies too just to explore. Thank you very much!

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