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  • External hard drive FAT32 to NTFS conversion fails

    - by Pieter
    I'm trying to convert the FAT32 file system of an external hard drive to NTFS. Here's what happened: C:\Windows\system32>chkdsk G: The type of the file system is FAT32. Volume PIETEREXT created 3/19/2008 12:43 Volume Serial Number is 1806-2E30 Windows is verifying files and folders... File and folder verification is complete. Windows has scanned the file system and found no problems. No further action is required. 488,264,768 KB total disk space. 72,192 KB in 1,503 hidden files. 1,281,792 KB in 40,029 folders. 309,235,168 KB in 199,915 files. 177,675,584 KB are available. 32,768 bytes in each allocation unit. 15,258,274 total allocation units on disk. 5,552,362 allocation units available on disk. C:\Windows\system32>cd \ C:\>convert g: /fs:ntfs The type of the file system is FAT32. Enter current volume label for drive G: PIETEREXT Volume PIETEREXT created 3/19/2008 12:43 Volume Serial Number is 1806-2E30 Windows is verifying files and folders... File and folder verification is complete. Windows has scanned the file system and found no problems. No further action is required. 488,264,768 KB total disk space. 72,192 KB in 1,503 hidden files. 1,281,792 KB in 40,029 folders. 309,235,168 KB in 199,915 files. 177,675,584 KB are available. 32,768 bytes in each allocation unit. 15,258,274 total allocation units on disk. 5,552,362 allocation units available on disk. Determining disk space required for file system conversion... Total disk space: 488384001 KB Free space on volume: 177675584 KB Space required for conversion: 975155 KB Converting file system The conversion failed. G: was not converted to NTFS I looked at the TechNet page for my error, but after closing every app the conversion was still failing halfway through. Why does it keep failing? I kept an eye on Task Manager but it didn't look like my system resources were near depletion. I'm using Windows 8.

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  • Few questions on dvd ram/rom

    - by Nrew
    Why other dvd rom/ram can read data from scratched disk and others cannot. For me its a comparison between LG and Lite On. Lite on, gets errors while reading disk with scratches. LG can read disk with scratches with no problems. Why is that? Is it possible to modify the software or the driver of the dvd rom so that it won't get errors when copying data from disk with scratches?

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  • Zero'ing out deleted files

    - by Bozojoe
    I want to minimize the amount of space my virtual disk is using, by zero'ing out the data on any deleted files. The virtual disk is a VDMK running ubuntu on VirtualBox. What is the best way to find any deleted files, and zero them out, so that when I export the appliance the disk size is only existing files on the disk?

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  • SQL IO and SAN troubles

    - by James
    We are running two servers with identical software setup but different hardware. The first one is a VM on VMWare on a normal tower server with dual core xeons, 16 GB RAM and a 7200 RPM drive. The second one is a VM on XenServer on a powerful brand new rack server, with 4 core xeons and shared storage. We are running Dynamics AX 2012 and SQL Server 2008 R2. When I insert 15 000 records into a table on the slow tower server (as a test), it does so in 13 seconds. On the fast server it takes 33 seconds. I re-ran these tests several times with the same results. I have a feeling it is some sort of IO bottleneck, so I ran SQLIO on both. Here are the results for the slow tower server: C:\Program Files (x86)\SQLIO>test.bat C:\Program Files (x86)\SQLIO>sqlio -kW -t8 -s120 -o8 -frandom -b8 -BH -LS C:\Tes tFile.dat sqlio v1.5.SG using system counter for latency timings, 14318180 counts per second 8 threads writing for 120 secs to file C:\TestFile.dat using 8KB random IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: C:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 226.97 MBs/sec: 1.77 latency metrics: Min_Latency(ms): 0 Avg_Latency(ms): 281 Max_Latency(ms): 467 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 99 C:\Program Files (x86)\SQLIO>sqlio -kR -t8 -s120 -o8 -frandom -b8 -BH -LS C:\Tes tFile.dat sqlio v1.5.SG using system counter for latency timings, 14318180 counts per second 8 threads reading for 120 secs from file C:\TestFile.dat using 8KB random IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: C:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 91.34 MBs/sec: 0.71 latency metrics: Min_Latency(ms): 14 Avg_Latency(ms): 699 Max_Latency(ms): 1124 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 100 C:\Program Files (x86)\SQLIO>sqlio -kW -t8 -s120 -o8 -fsequential -b64 -BH -LS C :\TestFile.dat sqlio v1.5.SG using system counter for latency timings, 14318180 counts per second 8 threads writing for 120 secs to file C:\TestFile.dat using 64KB sequential IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: C:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 1094.50 MBs/sec: 68.40 latency metrics: Min_Latency(ms): 0 Avg_Latency(ms): 58 Max_Latency(ms): 467 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 100 C:\Program Files (x86)\SQLIO>sqlio -kR -t8 -s120 -o8 -fsequential -b64 -BH -LS C :\TestFile.dat sqlio v1.5.SG using system counter for latency timings, 14318180 counts per second 8 threads reading for 120 secs from file C:\TestFile.dat using 64KB sequential IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: C:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 1155.31 MBs/sec: 72.20 latency metrics: Min_Latency(ms): 17 Avg_Latency(ms): 55 Max_Latency(ms): 205 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 100 Here are the results of the fast rack server: C:\Program Files (x86)\SQLIO>test.bat C:\Program Files (x86)\SQLIO>sqlio -kW -t8 -s120 -o8 -frandom -b8 -BH -LS E:\Tes tFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads writing for 120 secs to file E:\TestFile.dat using 8KB random IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) open_file: CreateFile (E:\TestFile.dat for write): The system cannot find the pa th specified. exiting C:\Program Files (x86)\SQLIO>sqlio -kR -t8 -s120 -o8 -frandom -b8 -BH -LS E:\Tes tFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads reading for 120 secs from file E:\TestFile.dat using 8KB random IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) open_file: CreateFile (E:\TestFile.dat for read): The system cannot find the pat h specified. exiting C:\Program Files (x86)\SQLIO>sqlio -kW -t8 -s120 -o8 -fsequential -b64 -BH -LS E :\TestFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads writing for 120 secs to file E:\TestFile.dat using 64KB sequential IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) open_file: CreateFile (E:\TestFile.dat for write): The system cannot find the pa th specified. exiting C:\Program Files (x86)\SQLIO>sqlio -kR -t8 -s120 -o8 -fsequential -b64 -BH -LS E :\TestFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads reading for 120 secs from file E:\TestFile.dat using 64KB sequential IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) open_file: CreateFile (E:\TestFile.dat for read): The system cannot find the pat h specified. exiting C:\Program Files (x86)\SQLIO>test.bat C:\Program Files (x86)\SQLIO>sqlio -kW -t8 -s120 -o8 -frandom -b8 -BH -LS c:\Tes tFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads writing for 120 secs to file c:\TestFile.dat using 8KB random IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: c:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 2575.77 MBs/sec: 20.12 latency metrics: Min_Latency(ms): 1 Avg_Latency(ms): 24 Max_Latency(ms): 655 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 5 8 9 9 9 8 5 3 1 1 1 1 0 0 0 0 0 0 0 0 0 37 C:\Program Files (x86)\SQLIO>sqlio -kR -t8 -s120 -o8 -frandom -b8 -BH -LS c:\Tes tFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads reading for 120 secs from file c:\TestFile.dat using 8KB random IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: c:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 1141.39 MBs/sec: 8.91 latency metrics: Min_Latency(ms): 1 Avg_Latency(ms): 55 Max_Latency(ms): 652 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 91 C:\Program Files (x86)\SQLIO>sqlio -kW -t8 -s120 -o8 -fsequential -b64 -BH -LS c :\TestFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads writing for 120 secs to file c:\TestFile.dat using 64KB sequential IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: c:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 341.37 MBs/sec: 21.33 latency metrics: Min_Latency(ms): 5 Avg_Latency(ms): 186 Max_Latency(ms): 120037 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 100 C:\Program Files (x86)\SQLIO>sqlio -kR -t8 -s120 -o8 -fsequential -b64 -BH -LS c :\TestFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads reading for 120 secs from file c:\TestFile.dat using 64KB sequential IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: c:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 1024.07 MBs/sec: 64.00 latency metrics: Min_Latency(ms): 5 Avg_Latency(ms): 61 Max_Latency(ms): 81632 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 100 Three of the four tests are, to my mind, within reasonable parameters for the rack server. However, the 64 write test is incredibly slow on the rack server. (68 mb/sec on the slow tower vs 21 mb/s on the rack). The read speed for 64k also seems slow. Is this enough to say there is some sort of bottleneck with the shared storage? I need to know if I can take this evidence and say we need to launch an investigation into this. Any help is appreciated.

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  • Issue using a "used" SSD as a Windows 8.1 Boot Drive

    - by EpiGrad
    So, I'm something of a Mac person, but decided to take a stab at this whole "build yourself a PC" thing - right now, the thing is assembled, posts just fine, and can get to the BIOS. The problem is the drive I want to use - I intended to use a 80 GB Corsair SSD I've had sitting around as the boot drive, and a new Samsung SSD for games and the like. So I boot using a Windows 8.1 install USB stick, and if the Samsung drive is plugged in, it happily offers to install Windows on it. The Corsair drive though, it's flipped out - I reformatted it as a blank NTFS drive (it was HFS for Mac purposes) and the BIOS can't see it, nor can the Windows installer. What's wrong, and how do I fix it? The tools at my disposal are: The current ASUS BIOS that came with my motherboard (a Z87I-Deluxe), a Mac running the latest OS X which can also boot to Windows 7 if needed via either Parallels or Bootcamp. Update 1: Update: Based on a friend's suggestion to switch SATA ports, Windows 8.1's installer can now see the drive as Drive 0, Partition 1, a 83.8 GB "Primary" partition. But when I click it and hit "Next", I get the following error: "We couldn't create a new partition or locate an existing one. For more information, see the Setup log files" - not that it gives any clue how to access those. Update 2: Following a trail of Google suggestions, I ended up going into advanced tools and just reformatting the drive as follows: Start DISKPART. Type LIST DISK and identify your SSD disk number (from 0 to n disks). Type SELECT DISK <n> where <n> is your SSD disk number. Type CLEAN Type CREATE PARTITION PRIMARY Type ACTIVE Type FORMAT FS=NTFS QUICK Type ASSIGN Type EXIT twice (one to get out of DiskPart, the other to exit the command line tool) Per these instructions. This goes well enough, but now I can select the disk for installation, and I get a new error: "Windows 8 cannot be installed to this disk. The selected disk has an MBR partition table. On EFI systems, Windows can only be installed to GP disks." So, Googling that, I do the following: select disk 0 clean convert gpt exit ...and we might have fixed it. Windows is at least trying to install now.

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  • What will happen if on my DB server I'll run out of space?

    - by Noam
    I'm seeing a hugh difference of free disk space between df -h and du -sxh / I've understood in my question Resolving unix server disk space not adding up that du -sxh / is a better estimation as to when I will run out of disk space. Having said that, assuming in my case the above sentence will prove to be wrong and I will run soon out of disk space, what will happen? I assume the MySQL will fail INSERT queries, but other than that, will I just need to delete some files or will it be a problematic situation?

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  • Windows 8 RTM Final on Macbook Air

    - by Xarem
    If I try to install the Windows 8 RTM Final (from MSDN) on my Macbook Air Mid 2011 using Boot Camp, I get this error: Windows cannot be installed to this disk. This computer's hardware may not support booting to this disk. Ensure that the disk's controller is enabled in the computer's BIOS menu I already formatted the disk with NTFS, removed it, reformatted and more... Does anyone know to resolve this error? Thank you very much

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  • Ubuntu's garbage collection cron job for PHP sessions takes 25 minutes to run, why?

    - by Lamah
    Ubuntu has a cron job set up which looks for and deletes old PHP sessions: # Look for and purge old sessions every 30 minutes 09,39 * * * * root [ -x /usr/lib/php5/maxlifetime ] \ && [ -d /var/lib/php5 ] && find /var/lib/php5/ -depth -mindepth 1 \ -maxdepth 1 -type f -cmin +$(/usr/lib/php5/maxlifetime) ! -execdir \ fuser -s {} 2> /dev/null \; -delete My problem is that this process is taking a very long time to run, with lots of disk IO. Here's my CPU usage graph: The cleanup running is represented by the teal spikes. At the beginning of the period, PHP's cleanup jobs were scheduled at the default 09 and 39 minutes times. At 15:00 I removed the 39 minute time from cron, so a cleanup job twice the size runs half as often (you can see the peaks get twice as wide and half as frequent). Here are the corresponding graphs for IO time: And disk operations: At the peak where there were about 14,000 sessions active, the cleanup can be seen to run for a full 25 minutes, apparently using 100% of one core of the CPU and what seems to be 100% of the disk IO for the entire period. Why is it so resource intensive? An ls of the session directory /var/lib/php5 takes just a fraction of a second. So why does it take a full 25 minutes to trim old sessions? Is there anything I can do to speed this up? The filesystem for this device is currently ext4, running on Ubuntu Precise 12.04 64-bit. EDIT: I suspect that the load is due to the unusual process "fuser" (since I expect a simple rm to be a damn sight faster than the performance I'm seeing). I'm going to remove the use of fuser and see what happens.

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  • Guide to reduce TFS database growth using the Test Attachment Cleaner

    - by terje
    Recently there has been several reports on TFS databases growing too fast and growing too big.  Notable this has been observed when one has started to use more features of the Testing system.  Also, the TFS 2010 handles test results differently from TFS 2008, and this leads to more data stored in the TFS databases. As a consequence of this there has been released some tools to remove unneeded data in the database, and also some fixes to correct for bugs which has been found and corrected during this process.  Further some preventive practices and maintenance rules should be adopted. A lot of people have blogged about this, among these are: Anu’s very important blog post here describes both the problem and solutions to handle it.  She describes both the Test Attachment Cleaner tool, and also some QFE/CU releases to fix some underlying bugs which prevented the tool from being fully effective. Brian Harry’s blog post here describes the problem too This forum thread describes the problem with some solution hints. Ravi Shanker’s blog post here describes best practices on solving this (TBP) Grant Holidays blogpost here describes strategies to use the Test Attachment Cleaner both to detect space problems and how to rectify them.   The problem can be divided into the following areas: Publishing of test results from builds Publishing of manual test results and their attachments in particular Publishing of deployment binaries for use during a test run Bugs in SQL server preventing total cleanup of data (All the published data above is published into the TFS database as attachments.) The test results will include all data being collected during the run.  Some of this data can grow rather large, like IntelliTrace logs and video recordings.   Also the pushing of binaries which happen for automated test runs, including tests run during a build using code coverage which will include all the files in the deployment folder, contributes a lot to the size of the attached data.   In order to handle this systematically, I have set up a 3-stage process: Find out if you have a database space issue Set up your TFS server to minimize potential database issues If you have the “problem”, clean up the database and otherwise keep it clean   Analyze the data Are your database( s) growing ?  Are unused test results growing out of proportion ? To find out about this you need to query your TFS database for some of the information, and use the Test Attachment Cleaner (TAC) to obtain some  more detailed information. If you don’t have too many databases you can use the SQL Server reports from within the Management Studio to analyze the database and table sizes. Or, you can use a set of queries . I find queries often faster to use because I can tweak them the way I want them.  But be aware that these queries are non-documented and non-supported and may change when the product team wants to change them. If you have multiple Project Collections, find out which might have problems: (Disclaimer: The queries below work on TFS 2010. They will not work on Dev-11, since the table structure have been changed.  I will try to update them for Dev-11 when it is released.) Open a SQL Management Studio session onto the SQL Server where you have your TFS Databases. Use the query below to find the Project Collection databases and their sizes, in descending size order.  use master select DB_NAME(database_id) AS DBName, (size/128) SizeInMB FROM sys.master_files where type=0 and substring(db_name(database_id),1,4)='Tfs_' and DB_NAME(database_id)<>'Tfs_Configuration' order by size desc Doing this on one of our SQL servers gives the following results: It is pretty easy to see on which collection to start the work   Find out which tables are possibly too large Keep a special watch out for the Tfs_Attachment table. Use the script at the bottom of Grant’s blog to find the table sizes in descending size order. In our case we got this result: From Grant’s blog we learnt that the tbl_Content is in the Version Control category, so the major only big issue we have here is the tbl_AttachmentContent.   Find out which team projects have possibly too large attachments In order to use the TAC to find and eventually delete attachment data we need to find out which team projects have these attachments. The team project is a required parameter to the TAC. Use the following query to find this, replace the collection database name with whatever applies in your case:   use Tfs_DefaultCollection select p.projectname, sum(a.compressedlength)/1024/1024 as sizeInMB from dbo.tbl_Attachment as a inner join tbl_testrun as tr on a.testrunid=tr.testrunid inner join tbl_project as p on p.projectid=tr.projectid group by p.projectname order by sum(a.compressedlength) desc In our case we got this result (had to remove some names), out of more than 100 team projects accumulated over quite some years: As can be seen here it is pretty obvious the “Byggtjeneste – Projects” are the main team project to take care of, with the ones on lines 2-4 as the next ones.  Check which attachment types takes up the most space It can be nice to know which attachment types takes up the space, so run the following query: use Tfs_DefaultCollection select a.attachmenttype, sum(a.compressedlength)/1024/1024 as sizeInMB from dbo.tbl_Attachment as a inner join tbl_testrun as tr on a.testrunid=tr.testrunid inner join tbl_project as p on p.projectid=tr.projectid group by a.attachmenttype order by sum(a.compressedlength) desc We then got this result: From this it is pretty obvious that the problem here is the binary files, as also mentioned in Anu’s blog. Check which file types, by their extension, takes up the most space Run the following query use Tfs_DefaultCollection select SUBSTRING(filename,len(filename)-CHARINDEX('.',REVERSE(filename))+2,999)as Extension, sum(compressedlength)/1024 as SizeInKB from tbl_Attachment group by SUBSTRING(filename,len(filename)-CHARINDEX('.',REVERSE(filename))+2,999) order by sum(compressedlength) desc This gives a result like this:   Now you should have collected enough information to tell you what to do – if you got to do something, and some of the information you need in order to set up your TAC settings file, both for a cleanup and for scheduled maintenance later.    Get your TFS server and environment properly set up Even if you have got the problem or if have yet not got the problem, you should ensure the TFS server is set up so that the risk of getting into this problem is minimized.  To ensure this you should install the following set of updates and components. The assumption is that your TFS Server is at SP1 level. Install the QFE for KB2608743 – which also contains detailed instructions on its use, download from here. The QFE changes the default settings to not upload deployed binaries, which are used in automated test runs. Binaries will still be uploaded if: Code coverage is enabled in the test settings. You change the UploadDeploymentItem to true in the testsettings file. Be aware that this might be reset back to false by another user which haven't installed this QFE. The hotfix should be installed to The build servers (the build agents) The machine hosting the Test Controller Local development computers (Visual Studio) Local test computers (MTM) It is not required to install it to the TFS Server, test agents or the build controller – it has no effect on these programs. If you use the SQL Server 2008 R2 you should also install the CU 10 (or later).  This CU fixes a potential problem of hanging “ghost” files.  This seems to happen only in certain trigger situations, but to ensure it doesn’t bite you, it is better to make sure this CU is installed. There is no such CU for SQL Server 2008 pre-R2 Work around:  If you suspect hanging ghost files, they can be – with some mental effort, deduced from the ghost counters using the following SQL query: use master SELECT DB_NAME(database_id) as 'database',OBJECT_NAME(object_id) as 'objectname', index_type_desc,ghost_record_count,version_ghost_record_count,record_count,avg_record_size_in_bytes FROM sys.dm_db_index_physical_stats (DB_ID(N'<DatabaseName>'), OBJECT_ID(N'<TableName>'), NULL, NULL , 'DETAILED') The problem is a stalled ghost cleanup process.  Restarting the SQL server after having stopped all components that depends on it, like the TFS Server and SPS services – that is all applications that connect to the SQL server. Then restart the SQL server, and finally start up all dependent processes again.  (I would guess a complete server reboot would do the trick too.) After this the ghost cleanup process will run properly again. The fix will come in the next CU cycle for SQL Server R2 SP1.  The R2 pre-SP1 and R2 SP1 have separate maintenance cycles, and are maintained individually. Each have its own set of CU’s. When it comes I will add the link here to that CU. The "hanging ghost file” issue came up after one have run the TAC, and deleted enourmes amount of data.  The SQL Server can get into this hanging state (without the QFE) in certain cases due to this. And of course, install and set up the Test Attachment Cleaner command line power tool.  This should be done following some guidelines from Ravi Shanker: “When you run TAC, ensure that you are deleting small chunks of data at regular intervals (say run TAC every night at 3AM to delete data that is between age 730 to 731 days) – this will ensure that small amounts of data are being deleted and SQL ghosted record cleanup can catch up with the number of deletes performed. “ This rule minimizes the risk of the ghosted hang problem to occur, and further makes it easier for the SQL server ghosting process to work smoothly. “Run DBCC SHRINKDB post the ghosted records are cleaned up to physically reclaim the space on the file system” This is the last step in a 3 step process of removing SQL server data. First they are logically deleted. Then they are cleaned out by the ghosting process, and finally removed using the shrinkdb command. Cleaning out the attachments The TAC is run from the command line using a set of parameters and controlled by a settingsfile.  The parameters point out a server uri including the team project collection and also point at a specific team project. So in order to run this for multiple team projects regularly one has to set up a script to run the TAC multiple times, once for each team project.  When you install the TAC there is a very useful readme file in the same directory. When the deployment binaries are published to the TFS server, ALL items are published up from the deployment folder. That often means much more files than you would assume are necessary. This is a brute force technique. It works, but you need to take care when cleaning up. Grant has shown how their settings file looks in his blog post, removing all attachments older than 180 days , as long as there are no active workitems connected to them. This setting can be useful to clean out all items, both in a clean-up once operation, and in a general There are two scenarios we need to consider: Cleaning up an existing overgrown database Maintaining a server to avoid an overgrown database using scheduled TAC   1. Cleaning up a database which has grown too big due to these attachments. This job is a “Once” job.  We do this once and then move on to make sure it won’t happen again, by taking the actions in 2) below.  In this scenario you should only consider the large files. Your goal should be to simply reduce the size, and don’t bother about  the smaller stuff. That can be left a scheduled TAC cleanup ( 2 below). Here you can use a very general settings file, and just remove the large attachments, or you can choose to remove any old items.  Grant’s settings file is an example of the last one.  A settings file to remove only large attachments could look like this: <!-- Scenario : Remove large files --> <DeletionCriteria> <TestRun /> <Attachment> <SizeInMB GreaterThan="10" /> </Attachment> </DeletionCriteria> Or like this: If you want only to remove dll’s and pdb’s about that size, add an Extensions-section.  Without that section, all extensions will be deleted. <!-- Scenario : Remove large files of type dll's and pdb's --> <DeletionCriteria> <TestRun /> <Attachment> <SizeInMB GreaterThan="10" /> <Extensions> <Include value="dll" /> <Include value="pdb" /> </Extensions> </Attachment> </DeletionCriteria> Before you start up your scheduled maintenance, you should clear out all older items. 2. Scheduled maintenance using the TAC If you run a schedule every night, and remove old items, and also remove them in small batches.  It is important to run this often, like every night, in order to keep the number of deleted items low. That way the SQL ghost process works better. One approach could be to delete all items older than some number of days, let’s say 180 days. This could be combined with restricting it to keep attachments with active or resolved bugs.  Doing this every night ensures that only small amounts of data is deleted. <!-- Scenario : Remove old items except if they have active or resolved bugs --> <DeletionCriteria> <TestRun> <AgeInDays OlderThan="180" /> </TestRun> <Attachment /> <LinkedBugs> <Exclude state="Active" /> <Exclude state="Resolved"/> </LinkedBugs> </DeletionCriteria> In my experience there are projects which are left with active or resolved workitems, akthough no further work is done.  It can be wise to have a cleanup process with no restrictions on linked bugs at all. Note that you then have to remove the whole LinkedBugs section. A approach which could work better here is to do a two step approach, use the schedule above to with no LinkedBugs as a sweeper cleaning task taking away all data older than you could care about.  Then have another scheduled TAC task to take out more specifically attachments that you are not likely to use. This task could be much more specific, and based on your analysis clean out what you know is troublesome data. <!-- Scenario : Remove specific files early --> <DeletionCriteria> <TestRun > <AgeInDays OlderThan="30" /> </TestRun> <Attachment> <SizeInMB GreaterThan="10" /> <Extensions> <Include value="iTrace"/> <Include value="dll"/> <Include value="pdb"/> <Include value="wmv"/> </Extensions> </Attachment> <LinkedBugs> <Exclude state="Active" /> <Exclude state="Resolved" /> </LinkedBugs> </DeletionCriteria> The readme document for the TAC says that it recognizes “internal” extensions, but it does recognize any extension. To run the tool do the following command: tcmpt attachmentcleanup /collection:your_tfs_collection_url /teamproject:your_team_project /settingsfile:path_to_settingsfile /outputfile:%temp%/teamproject.tcmpt.log /mode:delete   Shrinking the database You could run a shrink database command after the TAC has run in cases where there are a lot of data being deleted.  In this case you SHOULD do it, to free up all that space.  But, after the shrink operation you should do a rebuild indexes, since the shrink operation will leave the database in a very fragmented state, which will reduce performance. Note that you need to rebuild indexes, reorganizing is not enough. For smaller amounts of data you should NOT shrink the database, since the data will be reused by the SQL server when it need to add more records.  In fact, it is regarded as a bad practice to shrink the database regularly.  So on a daily maintenance schedule you should NOT shrink the database. To shrink the database you do a DBCC SHRINKDATABASE command, and then follow up with a DBCC INDEXDEFRAG afterwards.  I find the easiest way to do this is to create a SQL Maintenance plan including the Shrink Database Task and the Rebuild Index Task and just execute it when you need to do this.

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  • HELP: MS Virtual Disk Service to Access Volumes and Discs on Local Machine.

    - by Jibran Ahmed
    Hi, here it is my code through which I am successfully initialize the VDS service and get the Packs but When I call QueryVolumes on IVdsPack Object, I am able to get IEnumVdsObjects but unable to get IUnknown* array through IEnumVdsObject::Next method, it reutrns S_FALSE with IUnkown* = NULL. So this IUnknown* cant be used to QueryInterface for IVdsVolume Below is my code HRESULT hResult; IVdsService* pService = NULL; IVdsServiceLoader *pLoader = NULL; //Launch the VDS Service hResult = CoInitialize(NULL); if( SUCCEEDED(hResult) ) { hResult = CoCreateInstance( CLSID_VdsLoader, NULL, CLSCTX_LOCAL_SERVER, IID_IVdsServiceLoader, (void**) &pLoader ); //if succeeded load VDS on local machine if( SUCCEEDED(hResult) ) pLoader->LoadService(NULL, &pService); //Done with Loader now release VDS Loader interface _SafeRelease(pLoader); if( SUCCEEDED(hResult) ) { hResult = pService->WaitForServiceReady(); if ( SUCCEEDED(hResult) ) { AfxMessageBox(L"VDS Service Loaded"); IEnumVdsObject* pEnumVdsObject = NULL; hResult = pService->QueryProviders(VDS_QUERY_SOFTWARE_PROVIDERS, &pEnumVdsObject); IUnknown* ppObjUnk ; IVdsSwProvider* pVdsSwProvider = NULL; IVdsPack* pVdsPack = NULL; IVdsVolume* pVdsVolume = NULL; ULONG ulFetched = 0; hResult = E_INVALIDARG; while(!SUCCEEDED(hResult)) { hResult = pEnumVdsObject->Next(1, &ppObjUnk, &ulFetched); hResult = ppObjUnk->QueryInterface(IID_IVdsSwProvider, (void**)&pVdsSwProvider); if(!SUCCEEDED(hResult)) _SafeRelease(ppObjUnk); } _SafeRelease(pEnumVdsObject); _SafeRelease(ppObjUnk); hResult = pVdsSwProvider->QueryPacks(&pEnumVdsObject); hResult = E_INVALIDARG; while(!SUCCEEDED(hResult)) { hResult = pEnumVdsObject->Next(1, &ppObjUnk, &ulFetched); hResult = ppObjUnk->QueryInterface(IID_IVdsPack, (void**)&pVdsPack); if(!SUCCEEDED(hResult)) _SafeRelease(ppObjUnk); } _SafeRelease(pEnumVdsObject); _SafeRelease(ppObjUnk); hResult = pVdsPack->QueryVolumes(&pEnumVdsObject); pEnumVdsObject->Reset(); hResult = E_INVALIDARG; ulFetched = 0; BOOL bDone = FALSE; while(!SUCCEEDED(hResult)) { hResult = pEnumVdsObject->Next(1, &ppObjUnk, &ulFetched); //hResult = ppObjUnk->QueryInterface(IID_IVdsVolume, (void**)&pVdsVolume); if(!SUCCEEDED(hResult)) _SafeRelease(ppObjUnk); } _SafeRelease(pEnumVdsObject); _SafeRelease(ppObjUnk); _SafeRelease(pVdsPack); _SafeRelease(pVdsSwProvider); // hResult = pVdsVolume-AddAccessPath(TEXT("G:\")); if(SUCCEEDED(hResult)) AfxMessageBox(L"Add Access Path Successfully"); else AfxMessageBox(L"Unable to Add access path"); //UUID of IVdsVolumeMF {EE2D5DED-6236-4169-931D-B9778CE03DC6} static const GUID GUID_IVdsVolumeMF = {0xEE2D5DED, 0x6236, 4169,{0x93, 0x1D, 0xB9, 0x77, 0x8C, 0xE0, 0x3D, 0XC6} }; hResult = pService->GetObject(GUID_IVdsVolumeMF, VDS_OT_VOLUME, &ppObjUnk); if(hResult == VDS_E_OBJECT_NOT_FOUND) AfxMessageBox(L"Object Not found"); if(hResult == VDS_E_INITIALIZED_FAILED) AfxMessageBox(L"Initialization failed"); // pVdsVolume = reinterpret_cast(ppObjUnk); if(SUCCEEDED(hResult)) { // hResult = pVdsVolume-AddAccessPath(TEXT("G:\")); if(SUCCEEDED(hResult)) { IVdsAsync* ppVdsSync; AfxMessageBox(L"Formatting is about to Start......"); // hResult = pVdsVolume-Format(VDS_FST_UDF, TEXT("UDF_FORMAT_TEST"), 2048, TRUE, FALSE, FALSE, &ppVdsSync); if(SUCCEEDED(hResult)) AfxMessageBox(L"Formatting Started......."); else AfxMessageBox(L"Formatting Failed"); } else AfxMessageBox(L"Unable to Add Access Path"); } _SafeRelease(pVdsVolume); } else { AfxMessageBox(L"VDS Service Cannot be Loaded"); } } } _SafeRelease(pService);

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  • Why is WCF Stream response getting corrupted on write to disk?

    - by Alvin S
    I am wanting to write a WCF web service that can send files over the wire to the client. So I have one setup that sends a Stream response. Here is my code on the client: private void button1_Click(object sender, EventArgs e) { string filename = System.Environment.CurrentDirectory + "\\Picture.jpg"; if (File.Exists(filename)) File.Delete(filename); StreamServiceClient client = new StreamServiceClient(); int length = 256; byte[] buffer = new byte[length]; FileStream sink = new FileStream(filename, FileMode.CreateNew, FileAccess.Write); Stream source = client.GetData(); int bytesRead; while ((bytesRead = source.Read(buffer,0,length))> 0) { sink.Write(buffer,0,length); } source.Close(); sink.Close(); MessageBox.Show("All done"); } Everything processes fine with no errors or exceptions. The problem is that the .jpg file that is getting transferred is reported as being "corrupted or too large" when I open it. What am I doing wrong? On the server side, here is the method that is sending the file. public Stream GetData() { string filename = Environment.CurrentDirectory+"\\Chrysanthemum.jpg"; FileStream myfile = File.OpenRead(filename); return myfile; } I have the server configured with basicHttp binding with Transfermode.StreamedResponse.

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  • How to send Sound Stream of a file from disk over network using FMOD?

    - by chris
    Hey everyone, i'm currently working on a project in college. my application should do some things with audio files from my computer. i'm using FMOD as sound library. the problem i have is, that i dont know how to access the data of a soundfile (wich was opened and startet using the FMOD methods) to stream it over network for playback on another pc in the net. does anyone has a similar problem?! any help is apreciated. thanks in advance. chris

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  • Drawbacks with reading and writing a big file to or from disk at once instead of small chunks?

    - by Johann Gerell
    I work mainly on Windows and Windows CE based systems, where CreateFile, ReadFile and WriteFile are the work horses, no matter if I'm in native Win32 land or in managed .Net land. I have so far never had any obvious problem writing or reading big files in one chunk, as opposed to looping until several smaller chunks are processed. I usually delegate the IO work to a background thread that notifies me when it's done. But looking at file IO tutorials or "textbook examples", I often find the "loop with small chunks" used without any explanation of why it's used instead of the more obvious (I dare to say!) "do it all at once". Are there any drawbacks to the way I do that I haven't understood?

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  • Using Python, what's the best way to create a set of files on disk for testing?

    - by Chris R
    I'm looking for a way to create a tree of test files to unit test a packaging tool. Basically, I want to create some common file system structures -- directories, nested directories, symlinks within the selected tree, symlinks outside the tree, &c. Ideally I want to do this with as little boilerplate as possible. Of course, I could hand-write the set of files I want to see, but I'm thinking that somebody has to have automated this for a test suite somewhere. Any suggestions?

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  • Javascript: Save json data as a file on the server / user's hard disk.

    - by DavidR
    I have developed an app that allows the user to fill out text fields with information. I want them to be able to press a button that will make a file with data (a really long array with info on what they typed and where it should go) so they can reload the data at a later date. I don't have a server now, and I am sending this app as a standalone html app to my friends for their use until I get hosing / mySql / etc. Is there a way that when they click on a button it will take this data (saved as an array, save_data), put it into a file, and basically begin the download process from their web-browser? And later on, what tech would I need to be looking into to save this into online user accounts?

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  • What would you do if you coded a C++/OO cross-platform framework and realize its laying on your disk

    - by Manuel
    This project started as a development platform because i wanted to be able to write games for mobile devices, but also being able to run and debug the code on my desktop machine too (ie, the EPOC device emulator was so bad): the platforms it currently supports are: Window-desktop WinCE Symbian iPhone The architecture it's quite complete with 16bit 565 video framebuffer, blitters, basic raster ops, software pixel shaders, audio mixer with shaders (dsp fx), basic input, a simple virtual file system... although this thing is at it's first write and so there are places where some refactoring would be needed. Everything has been abstracted away and the guiding principle are: mostly clean code, as if it was a book to just be read object-orientation, without sacrifying performances mobile centric The idea was to open source it, but without being able to manage it, i doubt the software itself would benefit from this move.. Nevertheless, i myself have learned a lot from unmaintained projects. So, thanking you in advance for reading all this... really, what would you do?

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  • How to read and write UTF-8 to disk on the Android?

    - by Rob Kent
    I cannot read and write extended characters (French accented characters, for example) to a text file using the standard InputStreamReader methods shown in the Android API examples. When I read back the file using: InputStreamReader tmp = new InputStreamReader(in); BufferedReader reader = new BufferedReader(tmp); String str; while ((str = reader.readLine()) != null) { ... the string read is truncated at the extended characters instead of at the end-of-line. The second half of the string then comes on the next line. I'm assuming that I need to persist my data as UTF-8 but I cannot find any examples of that, and I'm new to Java. Can anyone provide me with an example or a link to relevant documentation?

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  • Can I compile and execute C# expression without saving the assembly to disk?

    - by Sasha
    I can compile, get an instance and invoke a method of any C# type programmaticaly. There lots of info on that, including the StackOverflow (http://stackoverflow.com/questions/53844/how-can-i-evaluate-a-c-expression-dynamically). My problem is that I'm in the web environment and cannot save anything to /bin directory. I can compile "in-memory" as the above mentioned link suggests but then I won't be able to "unload" my custom assembly from the current AppDomain. After a while that will become a huge memory problem. Is it possible to open a new AppDomain, compile new assembly "in-memory", evaluate some expression or access some member of that assembly inside of that new AppDomain and kill that AppDomain safely when done, all that without saving anything to a hard drive? Thanks in advance for any links, suggestions, etc.

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  • In OCaml, how can I create an out_channel which writes to a string/buffer instead of a file on disk

    - by Tianyi Cui
    I have a function of type in_channel -> out_channel -> unit which will output something to an out_channel. Now I'd like to get its output as a string. Creating temporary files to write and read it back seems ugly, so how can I do that? Is there any other methods to create out_channel besides Pervasives.open_out family? Actually, this function implemented a repl. What I really need is to test it programmatically, so I'd like to first wrap it to a function of type string -> string. For creating the in_channel, it seems I can use Scanf.Scanning.from_string, but I don't know how to create the out_channel parameter.

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  • Ajax image upload and javascript edit on the fly with ASP.NET MVC (without saving to disk)

    - by gavss
    1) Uploadimage action gets requests from form posts. <form action="/content/uploadimage" method="post" enctype="multipart/form-data"> It reads HttpPostedFileBase stream data and sends it to the response. I need to show the image in a div container instead of sending it to the response as a file so that users can manipulate the image using jcrop. Image source is generated at runtime. I can't pass an action name to the src attribute. Is this possible using MVC and without using control viewstate? 2) I don't want to use flash or silverlight. Is there an easy ajax alternative to the method I use to get files from user?

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