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  • Login on VMWare XP guest machine keeps locking user AD account

    - by mark
    Environment: Windows 2003 AD Host: Windows 7 Pro VMWare Guest: Windows XP I use a normal user but I also have AD Admin rights (via another user). I use my AD account to login on the host as well on the aforementioned guest system. They don't share their profiles, so no problems here. I had reason to change my user (AD) password. When I did this, the guest was suspended but my user was logged in. A few days after my password change I resumed the guest. I was able to work but couldn't access networked mapped drives. I logged out and tried to log in again. At this point I realized that I initially was logged in with a user from a point before I changed my password. I logged in again with the new password, but then things went bad. I was able to successfully log in to my XP guest, however once that was completed, my AD user account got locked. This now also affected my user on the host. I was able to unlock the account, but there is still this problem: I log in via my new password into the guest and then my AD account gets locked. I'm successfully logged into the guest, but I can't access network shares from the AD server. If I don't unlock my account on the AD server, I will get further problems with my AD user. I tried multiple things, none worked: removed XP guest from AD, deleted all users, even my XP AD user profile on the guest, added machine to the AD, logged in - log in successful, account locked I resumed an older state of my guest (sometimes from the last year even) but the problem still persists. I tried this with disabled networking when the old machine state is resumed and so on, but no luck. It seems to me, although only my account is locked, this is somehow connected to the guest machine itself. I really want to avoid re-installation. This guest image was my old workstation which I virtualized once I moved to W7 pro and thus is still very valueable or me. I can work locally on the guest once logged in, but I can't access any network shares which is a problem. thanks

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  • Restore "lost" user after Active Directory removal?

    - by Zulgrib
    Is it possible to restore lost users after Active Directory unistallation ? (I forgot to switch users to local users) The computer run Windows Server 2008 R2 Entreprise, and all the registry linked to the user i want to restore seems to still be there, user's folder is still on the harddrive, and useraccount2 still show the user (But flagged as unknown user) Some folders still have rigts set to this lost user, and even the local default Admin account cannot open/delete the folder. (But the real problem here is to find how to recover users account, the folder can be deleted an other way) All users i want te restore was originaly local users, converted to domain users after Active Directory installation. I think that if i can change user's sid (choosing the sid manually) i'll be able to easily recover rights on folders Regards

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  • Prevent member of administrator group loging in via Remote Desktop

    - by Chris J
    In order to support some build processes on our Server 2003 development servers, we require a common user account that has administrative privs. Unfortuantly, this also means that anyone that knows the password can also gain admin privs on a server. Assume that trying to keep the password secret is a failed exercise. Developers that need admin privs already have admin privs so should be able to log in as themselves. So the question is a simple one: is there anything I can configure to prevent people (ab)using the account to gain administrator on servers they shouldn't have administrator on? I'm aware that devs could disable anything that is put in place, but that's then down to process and auditing to track and manage. I don't mind where or how: it can be via the local security policy, group policy, a batch file executed in the user's profile, or something else.

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  • Default user logon on Windows Server system

    - by Robert Koritnik
    I installed Remote Desktop Services role (ex Terminal Services) on my Windows Server 2008 R2 machine. After installation when I try to logon locally, there's no default user as it used to be. Can I tweak group policy to have my default user back? I did enable to remember last logon user, but it didn't work... Obviously RDS (ex TS) ignores this policy setting. Additional note: I'm not connected to a domain. It's a standalone development machine running server OS. No domain needed for it.

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  • Automate new AD user's home folder creation and permission setup

    - by vn.
    I know if we setup a base folder or a profile path in the Profile tab of an AD user, we can copy it and the folder creation and permission setup will be automated. My problem is that not all my users have a roaming profile and the home folder linking is done thru GPO. When I copy from these users, the home folder isn't created automatically and I have to create it manually and change permission and ownership on that folder, located on the fileserver. What should I do? A script may be nice but it'd have to be run everytime a new user is created and I don't think we can link a script to an AD user creation? I'd like to avoid any manual steps and keep my GPO that way. Using a W2008r2 DC on w7 client boxes. Thanks.

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  • Drupal 7: One-time user account

    - by Noob
    I'm going to create a survey in Drupal 7 with the webform module, installed on a debian system which may be adapted in every way. The users (personally known, approx. 120) doing that survey will walk into a room and complete the survey in browsers on different computers. After that, they'll leave the room and other persons will enter, complete the survey on the same computers and so on. Each user may enter only one submission. The process needs to be anonymous, i. e. I mustn't have any idea of who did wich submission. My current solution is to generate random one-time-passwords and hand out one password per user (without noting who got which password). Within the survey there will be a password field where the one-time-password is entered. The value is checked by webform to be unique. I'll get the data via csv or Excel and verify the passwords manually in excel by comparing them to the list of valid passwords. The problem is: I don't like the idea of manually generating the password list, copying it to excel and doing a manual check. That's a good idea for one-time-use, but we're going to repeat the survey every once in a while. I'd rather generate one-time-logins (like user0001/fdlkjewf, user0002/dfrefnnr, ...) for each survey, hand them out to the users and let drupal/debian/whatever check whether a submission is valid or not. Do you have any idea how to batch-generate about 120 users with one-time-passwords in Drupal 7 and verify that each user may submit the form only once? Do you even have a better idea how to accomplish the task within the intranet? Thank you for your help.

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  • Collation errors in business

    - by Rob Farley
    At the PASS Summit last month, I did a set (Lightning Talk) about collation, and in particular, the difference between the “English” spoken by people from the US, Australia and the UK. One of the examples I gave was that in the US drivers might stop for gas, whereas in Australia, they just open the window a little. This is what’s known as a paraprosdokian, where you suddenly realise you misunderstood the first part of the sentence, based on what was said in the second. My current favourite is Emo Phillip’s line “I like to play chess with old men in the park, but it can be hard to find thirty-two of them.” Essentially, this a collation error, one that good comedians can get mileage from. Unfortunately, collation is at its worst when we have a computer comparing two things in different collations. They might look the same, and sound the same, but if one of the things is in SQL English, and the other one is in Windows English, the poor database server (with no sense of humour) will get suspicious of developers (who all have senses of humour, obviously), and declare a collation error, worried that it might not realise some nuance of the language. One example is the common scenario of a case-sensitive collation and a case-insensitive one. One may think that “Rob” and “rob” are the same, but the other might not. Clearly one of them is my name, and the other is a verb which means to steal (people called “Nick” have the same problem, of course), but I have no idea whether “Rob” and “rob” should be considered the same or not – it depends on the collation. I told a lie before – collation isn’t at its worst in the computer world, because the computer has the sense to complain about the collation issue. People don’t. People will say something, with their own understanding of what they mean. Other people will listen, and apply their own collation to it. I remember when someone was asking me about a situation which had annoyed me. They asked if I was ‘pissed’, and I said yes. I meant that I was annoyed, but they were asking if I’d been drinking. It took a moment for us to realise the misunderstanding. In business, the problem is escalated. A business user may explain something in a particular way, using terminology that they understand, but using words that mean something else to a technical person. I remember a situation with a checkbox on a form (back in VB6 days from memory). It was used to indicate that something was approved, and indicated whether a particular database field should store True or False – nothing more. However, the client understood it to mean that an entire workflow system would be implemented, with different users have permission to approve items and more. The project manager I’d just taken over from clearly hadn’t appreciated that, and I faced a situation of explaining the misunderstanding to the client. Lots of fun... Collation errors aren’t just a database setting that you can ignore. You need to remember that Americans speak a different type of English to Aussies and Poms, and techies speak a different language to their clients.

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  • django create user and log them in

    - by Scott Willman
    In a view I'm trying to create a new user and then log them in but result in a new url on success. def create(request): if request.method == "POST": # do user creation # user.save() auth_user = authenticate(username=user.username,password=user.password) if auth_user is not None: login(request, auth_user) return HttpResponseRedirect('/user/account/') return render_to_response('create_form.html') So, how do I maintain the user object using the HttpResponseRedirect or validate the logged in user in an unassociated view?

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  • Cloud – the forecast is improving

    - by Rob Farley
    There is a lot of discussion about “the cloud”, and how that affects people’s data stories. Today the discussion enters the realm of T-SQL Tuesday, hosted this month by Jorge Segarra. Over the years, companies have invested a lot in making sure that their data is good, and I mean every aspect of it – the quality of it, the security of it, the performance of it, and more. Experts such as those of us at LobsterPot Solutions have helped these companies with this, and continue to work with clients to make sure that data is a strong part of their business, not an oversight. Whether business intelligence systems are being utilised or not, every business needs to be able to rely on its data, and have the confidence in it. Data should be a foundation upon which a business is built. In the past, data had been stored in paper-based systems. Filing cabinets stored vital information. Today, people have server rooms with storage of various kinds, recognising that filing cabinets don’t necessarily scale particularly well. It’s easy to ‘lose’ data in a filing cabinet, when you have people who need to make sure that the sheets of paper are in the right spot, and that you know how things are stored. Databases help solve that problem, but still the idea of a large filing cabinet continues, it just doesn’t involve paper. If something happens to the physical ‘filing cabinet’, then the problems are larger still. Then the data itself is under threat. Many clients have generators in case the power goes out, redundant cables in case the connectivity dies, and spare servers in other buildings just in case they’re required. But still they’re maintaining filing cabinets. You see, people like filing cabinets. There’s something to be said for having your data ‘close’. Even if the data is not in readable form, living as bits on a disk somewhere, the idea that its home is ‘in the building’ is comforting to many people. They simply don’t want to move their data anywhere else. The cloud offers an alternative to this, and the human element is an obstacle. By leveraging the cloud, companies can have someone else look after their filing cabinet. A lot of people really don’t like the idea of this, partly because the administrators of the data, those people who could potentially log in with escalated rights and see more than they should be allowed to, who need to be trusted to respond if there’s a problem, are now a faceless entity in the cloud. But this doesn’t mean that the cloud is bad – this is simply a concern that some people may have. In new functionality that’s on its way, we see other hybrid mechanisms that mean that people can leverage parts of the cloud with less fear. Companies can use cloud storage to hold their backup data, for example, backups that have been encrypted and are therefore not able to be read by anyone (including administrators) who don’t have the right password. Companies can have a database instance that runs locally, but which has its data files in the cloud, complete with Transparent Data Encryption if needed. There can be a higher level of control, making the change easier to accept. Hybrid options allow people who have had fears (potentially very justifiable) to take a new look at the cloud, and to start embracing some of the benefits of the cloud (such as letting someone else take care of storage, high availability, and more) without losing the feeling of the data being close. @rob_farley

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  • cPanel Virtfs won't umount

    - by JPerkSter
    Anyone have any experience with virtfs on cPanel servers? I can't seem to get them to unmount, as they say they are already unmounted: [root@Server ~]# cat /proc/mounts | grep user /dev/root /home/virtfs/user/lib ext3 rw,errors=continue,data=ordered 0 0 /dev/root /home/virtfs/user/opt ext3 rw,errors=continue,data=ordered 0 0 /dev/sda3 /home/virtfs/user/usr/lib ext3 rw,nodev,errors=continue,data=ordered 0 0 /dev/sda3 /home/virtfs/user/usr/sbin ext3 rw,nodev,errors=continue,data=ordered 0 0 /dev/sda3 /home/virtfs/user/usr/share ext3 rw,nodev,errors=continue,data=ordered 0 0 /dev/sda3 /home/virtfs/user/usr/bin ext3 rw,nodev,errors=continue,data=ordered 0 0 /dev/sda3 /home/virtfs/user/usr/man ext3 rw,nodev,errors=continue,data=ordered 0 0 /dev/sda3 /home/virtfs/user/usr/X11R6 ext3 rw,nodev,errors=continue,data=ordered 0 0 /dev/sda3 /home/virtfs/user/usr/kerberos ext3 rw,nodev,errors=continue,data=ordered 0 0 /dev/sda3 /home/virtfs/user/usr/libexec ext3 rw,nodev,errors=continue,data=ordered 0 0 /dev/sda3 /home/virtfs/user/usr/local/bin ext3 rw,nodev,errors=continue,data=ordered 0 0 /dev/sda3 /home/virtfs/user/usr/local/share ext3 rw,nodev,errors=continue,data=ordered 0 0 /dev/sda3 /home/virtfs/user/usr/local/Zend ext3 rw,nodev,errors=continue,data=ordered 0 0 /dev/sda3 /home/virtfs/user/usr/local/IonCube ext3 rw,nodev,errors=continue,data=ordered 0 0 /dev/sda3 /home/virtfs/user/usr/include ext3 rw,nodev,errors=continue,data=ordered 0 0 /dev/sda3 /home/virtfs/user/usr/local/lib ext3 rw,nodev,errors=continue,data=ordered 0 0 /dev/sda2 /home/virtfs/user/var/spool ext3 rw,nodev,noatime,nodiratime,errors=continue,data=ordered 0 0 /dev/sda2 /home/virtfs/user/var/lib ext3 rw,nodev,noatime,nodiratime,errors=continue,data=ordered 0 0 /dev/sda2 /home/virtfs/user/var/cpanel ext3 rw,nodev,noatime,nodiratime,errors=continue,data=ordered 0 0 /dev/sda2 /home/virtfs/user/var/run ext3 rw,nodev,noatime,nodiratime,errors=continue,data=ordered 0 0 /dev/sda2 /home/virtfs/user/var/log ext3 rw,nodev,noatime,nodiratime,errors=continue,data=ordered 0 0 /dev/sda6 /home/virtfs/user/tmp ext3 rw,nosuid,nodev,noexec,noatime,errors=continue,data=ordered 0 0 /dev/root /home/virtfs/user/bin ext3 rw,errors=continue,data=ordered 0 0 [root@Server ~]# for i in cat /proc/mounts |grep virtfs |grep user |awk '{print$2}'; do umount $i; done umount: /home/virtfs/user/lib: not mounted umount: /home/virtfs/user/opt: not mounted umount: /home/virtfs/user/usr/lib: not mounted umount: /home/virtfs/user/usr/sbin: not mounted umount: /home/virtfs/user/usr/share: not mounted umount: /home/virtfs/user/usr/bin: not mounted umount: /home/virtfs/user/usr/man: not mounted umount: /home/virtfs/user/usr/X11R6: not mounted umount: /home/virtfs/user/usr/kerberos: not mounted umount: /home/virtfs/user/usr/libexec: not mounted umount: /home/virtfs/user/usr/local/bin: not mounted umount: /home/virtfs/user/usr/local/share: not mounted umount: /home/virtfs/user/usr/local/Zend: not mounted umount: /home/virtfs/user/usr/local/IonCube: not mounted umount: /home/virtfs/user/usr/include: not mounted umount: /home/virtfs/user/usr/local/lib: not mounted umount: /home/virtfs/user/var/spool: not mounted umount: /home/virtfs/user/var/lib: not mounted umount: /home/virtfs/user/var/cpanel: not mounted umount: /home/virtfs/user/var/run: not mounted umount: /home/virtfs/user/var/log: not mounted umount: /home/virtfs/user/tmp: not mounted umount: /home/virtfs/user/bin: not mounted umount: /home/virtfs/user/dev: not mounted umount: /home/virtfs/user/proc: not mounted

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  • Install Sql Server Developer Edition 32-bit (or Enterprise Edition) on Windows 7 Home Premium 64-bit

    - by ali62b
    Is there any work around to Successfully install SQL server 2008 32-bit on Windows 7 Home premium 64-bit ? If this is the case I first installed VS 2008 SP 1 on my machine and when I click on install.exe file for installing SQL Server 2008 (Developer Edition) I get an error related to .NET Framework version which is installed already on my PC. { I get the same error trying to install Enterprise Edition}

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  • How do I get SQL Profiler to show statements with column names like 'password'?

    - by Kev
    I'm profiling a database just now and need to see the UPDATE and INSERT statements being executed on a particular table. However, because the table has a 'Password' column the SQL Profiler is being understandingly cautious and replacing the TextData column with: -- 'password' was found in the text of this event. -- The text has been replaced with this comment for security reasons. How do I prevent it doing this because I need to see the SQL statement being executed?

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  • SQL Server Express with Advanced Services (with Reporting Services)???

    - by Fretwizard
    I have tried to download SQL Server 2005 Express edition about 4 times trying to find the correct version that has business intelligence studio and reporting services in it? Every time I try to unhide the advanced configuration during install, it's never there... Can anyone point me to the correct download? Looking for 2005 (not 2008) because my work SQL server that I am trying to learn this for is 2005, and the training material I have is for 2005 and VS 2008 does not want to integrate with SQL2008 express.

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  • Alias a linked Server in SQL server management studio?

    - by absentmindeduk
    Hoping someone can help - is there a way in SQL server management studio 2008 R2 that I can alias a linked SQL server? I have a server, added by IP address, to which I do not have the login credentials - however as the connection is already setup I can login ok. Issue is that, this is a dev environment, prior to a live deployment and the IP I have as a linked server needs to be 'accessible' by my stored procs under a different name, eg 'myserver' not 192.168.xxx.xxx... Any help much appreciated.

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  • "Most popular" GROUP BY in LINQ?

    - by tags2k
    Assuming a table of tags like the stackoverflow question tags: TagID (bigint), QuestionID (bigint), Tag (varchar) What is the most efficient way to get the 25 most used tags using LINQ? In SQL, a simple GROUP BY will do: SELECT Tag, COUNT(Tag) FROM Tags GROUP BY Tag I've written some LINQ that works: var groups = from t in DataContext.Tags group t by t.Tag into g select new { Tag = g.Key, Frequency = g.Count() }; return groups.OrderByDescending(g => g.Frequency).Take(25); Like, really? Isn't this mega-verbose? The sad thing is that I'm doing this to save a massive number of queries, as my Tag objects already contain a Frequency property that would otherwise need to check back with the database for every Tag if I actually used the property. So I then parse these anonymous types back into Tag objects: groups.OrderByDescending(g => g.Frequency).Take(25).ToList().ForEach(t => tags.Add(new Tag() { Tag = t.Tag, Frequency = t.Frequency })); I'm a LINQ newbie, and this doesn't seem right. Please show me how it's really done.

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  • Session memory – who’s this guy named Max and what’s he doing with my memory?

    - by extended_events
    SQL Server MVP Jonathan Kehayias (blog) emailed me a question last week when he noticed that the total memory used by the buffers for an event session was larger than the value he specified for the MAX_MEMORY option in the CREATE EVENT SESSION DDL. The answer here seems like an excellent subject for me to kick-off my new “401 – Internals” tag that identifies posts where I pull back the curtains a bit and let you peek into what’s going on inside the extended events engine. In a previous post (Option Trading: Getting the most out of the event session options) I explained that we use a set of buffers to store the event data before  we write the event data to asynchronous targets. The MAX_MEMORY along with the MEMORY_PARTITION_MODE defines how big each buffer will be. Theoretically, that means that I can predict the size of each buffer using the following formula: max memory / # of buffers = buffer size If it was that simple I wouldn’t be writing this post. I’ll take “boundary” for 64K Alex For a number of reasons that are beyond the scope of this blog, we create event buffers in 64K chunks. The result of this is that the buffer size indicated by the formula above is rounded up to the next 64K boundary and that is the size used to create the buffers. If you think visually, this means that the graph of your max_memory option compared to the actual buffer size that results will look like a set of stairs rather than a smooth line. You can see this behavior by looking at the output of dm_xe_sessions, specifically the fields related to the buffer sizes, over a range of different memory inputs: Note: This test was run on a 2 core machine using per_cpu partitioning which results in 5 buffers. (Seem my previous post referenced above for the math behind buffer count.) input_memory_kb total_regular_buffers regular_buffer_size total_buffer_size 637 5 130867 654335 638 5 130867 654335 639 5 130867 654335 640 5 196403 982015 641 5 196403 982015 642 5 196403 982015 This is just a segment of the results that shows one of the “jumps” between the buffer boundary at 639 KB and 640 KB. You can verify the size boundary by doing the math on the regular_buffer_size field, which is returned in bytes: 196403 – 130867 = 65536 bytes 65536 / 1024 = 64 KB The relationship between the input for max_memory and when the regular_buffer_size is going to jump from one 64K boundary to the next is going to change based on the number of buffers being created. The number of buffers is dependent on the partition mode you choose. If you choose any partition mode other than NONE, the number of buffers will depend on your hardware configuration. (Again, see the earlier post referenced above.) With the default partition mode of none, you always get three buffers, regardless of machine configuration, so I generated a “range table” for max_memory settings between 1 KB and 4096 KB as an example. start_memory_range_kb end_memory_range_kb total_regular_buffers regular_buffer_size total_buffer_size 1 191 NULL NULL NULL 192 383 3 130867 392601 384 575 3 196403 589209 576 767 3 261939 785817 768 959 3 327475 982425 960 1151 3 393011 1179033 1152 1343 3 458547 1375641 1344 1535 3 524083 1572249 1536 1727 3 589619 1768857 1728 1919 3 655155 1965465 1920 2111 3 720691 2162073 2112 2303 3 786227 2358681 2304 2495 3 851763 2555289 2496 2687 3 917299 2751897 2688 2879 3 982835 2948505 2880 3071 3 1048371 3145113 3072 3263 3 1113907 3341721 3264 3455 3 1179443 3538329 3456 3647 3 1244979 3734937 3648 3839 3 1310515 3931545 3840 4031 3 1376051 4128153 4032 4096 3 1441587 4324761 As you can see, there are 21 “steps” within this range and max_memory values below 192 KB fall below the 64K per buffer limit so they generate an error when you attempt to specify them. Max approximates True as memory approaches 64K The upshot of this is that the max_memory option does not imply a contract for the maximum memory that will be used for the session buffers (Those of you who read Take it to the Max (and beyond) know that max_memory is really only referring to the event session buffer memory.) but is more of an estimate of total buffer size to the nearest higher multiple of 64K times the number of buffers you have. The maximum delta between your initial max_memory setting and the true total buffer size occurs right after you break through a 64K boundary, for example if you set max_memory = 576 KB (see the green line in the table), your actual buffer size will be closer to 767 KB in a non-partitioned event session. You get “stepped up” for every 191 KB block of initial max_memory which isn’t likely to cause a problem for most machines. Things get more interesting when you consider a partitioned event session on a computer that has a large number of logical CPUs or NUMA nodes. Since each buffer gets “stepped up” when you break a boundary, the delta can get much larger because it’s multiplied by the number of buffers. For example, a machine with 64 logical CPUs will have 160 buffers using per_cpu partitioning or if you have 8 NUMA nodes configured on that machine you would have 24 buffers when using per_node. If you’ve just broken through a 64K boundary and get “stepped up” to the next buffer size you’ll end up with total buffer size approximately 10240 KB and 1536 KB respectively (64K * # of buffers) larger than max_memory value you might think you’re getting. Using per_cpu partitioning on large machine has the most impact because of the large number of buffers created. If the amount of memory being used by your system within these ranges is important to you then this is something worth paying attention to and considering when you configure your event sessions. The DMV dm_xe_sessions is the tool to use to identify the exact buffer size for your sessions. In addition to the regular buffers (read: event session buffers) you’ll also see the details for large buffers if you have configured MAX_EVENT_SIZE. The “buffer steps” for any given hardware configuration should be static within each partition mode so if you want to have a handy reference available when you configure your event sessions you can use the following code to generate a range table similar to the one above that is applicable for your specific machine and chosen partition mode. DECLARE @buf_size_output table (input_memory_kb bigint, total_regular_buffers bigint, regular_buffer_size bigint, total_buffer_size bigint) DECLARE @buf_size int, @part_mode varchar(8) SET @buf_size = 1 -- Set to the begining of your max_memory range (KB) SET @part_mode = 'per_cpu' -- Set to the partition mode for the table you want to generate WHILE @buf_size <= 4096 -- Set to the end of your max_memory range (KB) BEGIN     BEGIN TRY         IF EXISTS (SELECT * from sys.server_event_sessions WHERE name = 'buffer_size_test')             DROP EVENT SESSION buffer_size_test ON SERVER         DECLARE @session nvarchar(max)         SET @session = 'create event session buffer_size_test on server                         add event sql_statement_completed                         add target ring_buffer                         with (max_memory = ' + CAST(@buf_size as nvarchar(4)) + ' KB, memory_partition_mode = ' + @part_mode + ')'         EXEC sp_executesql @session         SET @session = 'alter event session buffer_size_test on server                         state = start'         EXEC sp_executesql @session         INSERT @buf_size_output (input_memory_kb, total_regular_buffers, regular_buffer_size, total_buffer_size)             SELECT @buf_size, total_regular_buffers, regular_buffer_size, total_buffer_size FROM sys.dm_xe_sessions WHERE name = 'buffer_size_test'     END TRY     BEGIN CATCH         INSERT @buf_size_output (input_memory_kb)             SELECT @buf_size     END CATCH     SET @buf_size = @buf_size + 1 END DROP EVENT SESSION buffer_size_test ON SERVER SELECT MIN(input_memory_kb) start_memory_range_kb, MAX(input_memory_kb) end_memory_range_kb, total_regular_buffers, regular_buffer_size, total_buffer_size from @buf_size_output group by total_regular_buffers, regular_buffer_size, total_buffer_size Thanks to Jonathan for an interesting question and a chance to explore some of the details of Extended Event internals. - Mike

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  • Joins in single-table queries

    - by Rob Farley
    Tables are only metadata. They don’t store data. I’ve written something about this before, but I want to take a viewpoint of this idea around the topic of joins, especially since it’s the topic for T-SQL Tuesday this month. Hosted this time by Sebastian Meine (@sqlity), who has a whole series on joins this month. Good for him – it’s a great topic. In that last post I discussed the fact that we write queries against tables, but that the engine turns it into a plan against indexes. My point wasn’t simply that a table is actually just a Clustered Index (or heap, which I consider just a special type of index), but that data access always happens against indexes – never tables – and we should be thinking about the indexes (specifically the non-clustered ones) when we write our queries. I described the scenario of looking up phone numbers, and how it never really occurs to us that there is a master list of phone numbers, because we think in terms of the useful non-clustered indexes that the phone companies provide us, but anyway – that’s not the point of this post. So a table is metadata. It stores information about the names of columns and their data types. Nullability, default values, constraints, triggers – these are all things that define the table, but the data isn’t stored in the table. The data that a table describes is stored in a heap or clustered index, but it goes further than this. All the useful data is going to live in non-clustered indexes. Remember this. It’s important. Stop thinking about tables, and start thinking about indexes. So let’s think about tables as indexes. This applies even in a world created by someone else, who doesn’t have the best indexes in mind for you. I’m sure you don’t need me to explain Covering Index bit – the fact that if you don’t have sufficient columns “included” in your index, your query plan will either have to do a Lookup, or else it’ll give up using your index and use one that does have everything it needs (even if that means scanning it). If you haven’t seen that before, drop me a line and I’ll run through it with you. Or go and read a post I did a long while ago about the maths involved in that decision. So – what I’m going to tell you is that a Lookup is a join. When I run SELECT CustomerID FROM Sales.SalesOrderHeader WHERE SalesPersonID = 285; against the AdventureWorks2012 get the following plan: I’m sure you can see the join. Don’t look in the query, it’s not there. But you should be able to see the join in the plan. It’s an Inner Join, implemented by a Nested Loop. It’s pulling data in from the Index Seek, and joining that to the results of a Key Lookup. It clearly is – the QO wouldn’t call it that if it wasn’t really one. It behaves exactly like any other Nested Loop (Inner Join) operator, pulling rows from one side and putting a request in from the other. You wouldn’t have a problem accepting it as a join if the query were slightly different, such as SELECT sod.OrderQty FROM Sales.SalesOrderHeader AS soh JOIN Sales.SalesOrderDetail as sod on sod.SalesOrderID = soh.SalesOrderID WHERE soh.SalesPersonID = 285; Amazingly similar, of course. This one is an explicit join, the first example was just as much a join, even thought you didn’t actually ask for one. You need to consider this when you’re thinking about your queries. But it gets more interesting. Consider this query: SELECT SalesOrderID FROM Sales.SalesOrderHeader WHERE SalesPersonID = 276 AND CustomerID = 29522; It doesn’t look like there’s a join here either, but look at the plan. That’s not some Lookup in action – that’s a proper Merge Join. The Query Optimizer has worked out that it can get the data it needs by looking in two separate indexes and then doing a Merge Join on the data that it gets. Both indexes used are ordered by the column that’s indexed (one on SalesPersonID, one on CustomerID), and then by the CIX key SalesOrderID. Just like when you seek in the phone book to Farley, the Farleys you have are ordered by FirstName, these seek operations return the data ordered by the next field. This order is SalesOrderID, even though you didn’t explicitly put that column in the index definition. The result is two datasets that are ordered by SalesOrderID, making them very mergeable. Another example is the simple query SELECT CustomerID FROM Sales.SalesOrderHeader WHERE SalesPersonID = 276; This one prefers a Hash Match to a standard lookup even! This isn’t just ordinary index intersection, this is something else again! Just like before, we could imagine it better with two whole tables, but we shouldn’t try to distinguish between joining two tables and joining two indexes. The Query Optimizer can see (using basic maths) that it’s worth doing these particular operations using these two less-than-ideal indexes (because of course, the best indexese would be on both columns – a composite such as (SalesPersonID, CustomerID – and it would have the SalesOrderID column as part of it as the CIX key still). You need to think like this too. Not in terms of excusing single-column indexes like the ones in AdventureWorks2012, but in terms of having a picture about how you’d like your queries to run. If you start to think about what data you need, where it’s coming from, and how it’s going to be used, then you will almost certainly write better queries. …and yes, this would include when you’re dealing with regular joins across multiples, not just against joins within single table queries.

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  • .Net Windows Service Throws EventType clr20r3 system.data.sqlclient.sql error

    - by William Edmondson
    I have a .Net/c# 2.0 windows service. The entry point is wrapped in a try catch block yet when I look at the server's application event log I seem a number of "EventType clr20r3" errors that are causing the service to die unexpectedly. The catch block has a "catch (Exception ex)". Each sql commands is of the type "CommandType.StoredProcedure" and are executed with SqlDataReader's. These sproc calls function correctly 99% of time and have all been thoroughly unit tested, profiled, and QA'd. I additionally wrapped these calls in try catch blocks just to be sure and am still experiencing these unhandled exceptions. This only in our production environment and cannot be duplicated in our dev or staging environments (even under heavy load). Why would my error handling not catch this particular error? Is there anyway to capture more detail as to the root cause of the problem? Here is an example of the event log: EventType clr20r3, P1 RDC.OrderProcessorService, P2 1.0.0.0, P3 4ae6a0d0, P4 system.data, P5 2.0.0.0, P6 4889deaf, P7 2490, P8 2c, P9 system.data.sqlclient.sql, P10 NIL. Additionally The Order Processor service terminated unexpectedly. It has done this 1 time(s). The following corrective action will be taken in 60000 milliseconds: Restart the service.

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  • Error Handling in T-SQL Scalar Function

    - by hydroparadise
    Ok.. this question could easily take multiple paths, so I will hit the more specific path first. While working with SQL Server 2005, I'm trying to create a scalar funtion that acts as a 'TryCast' from varchar to int. Where I encounter a problem is when I add a TRY block in the function; CREATE FUNCTION u_TryCastInt ( @Value as VARCHAR(MAX) ) RETURNS Int AS BEGIN DECLARE @Output AS Int BEGIN TRY SET @Output = CONVERT(Int, @Value) END TRY BEGIN CATCH SET @Output = 0 END CATCH RETURN @Output END Turns out theres all sorts of things wrong with this statement including "Invalid use of side-effecting or time-dependent operator in 'BEGIN TRY' within a function" and "Invalid use of side-effecting or time-dependent operator in 'END TRY' within a function". I can't seem to find any examples of using try statements within a scalar function, which got me thinking, is error handling in a function is possible? The goal here is to make a robust version of the Convert or Cast functions to allow a SELECT statement carry through depsite conversion errors. For example, take the following; CREATE TABLE tblTest ( f1 VARCHAR(50) ) GO INSERT INTO tblTest(f1) VALUES('1') INSERT INTO tblTest(f1) VALUES('2') INSERT INTO tblTest(f1) VALUES('3') INSERT INTO tblTest(f1) VALUES('f') INSERT INTO tblTest(f1) VALUES('5') INSERT INTO tblTest(f1) VALUES('1.1') SELECT CONVERT(int,f1) AS f1_num FROM tblTest DROP TABLE tblTest It never reaches point of dropping the table because the execution gets hung on trying to convert 'f' to an integer. I want to be able to do something like this; SELECT u_TryCastInt(f1) AS f1_num FROM tblTest fi_num __________ 1 2 3 0 5 0 Any thoughts on this? Is there anything that exists that handles this? Also, I would like to try and expand the conversation to support SQL Server 2000 since Try blocks are not an option in that scenario. Thanks in advance.

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  • Complex SQL Query similar to a z order problem

    - by AaronLS
    I have a complex SQL problem in MS SQL Server, and in drawing on a piece of paper I realized that I could think of it as a single bar filled with rectangles, each rectangle having segments with different Z orders. In reality it has nothing to do with z order or graphics at all, but more to do with some complex business rules that would be difficult to explain. Howoever, if anyone has ideas on how to solve the below that will give me my solution. I have the following data: ObjectID, PercentOfBar, ZOrder (where smaller is closer) A, 100, 6 B, 50, 5 B, 50, 4 C, 30, 3 C, 70, 6 The result of my query that I want is this, in any order: PercentOfBar, ZOrder 50, 5 20, 4 30, 3 Think of it like this, if I drew rectangle A, it would fill 100% of the bar and have a z order of 6. 66666666666 AAAAAAAAAAA If I then layed out rectangle B, consisting of two segments, both segments would cover up rectangle A resulting in the following rendering: 4444455555 BBBBBBBBBB As a rule of thumb, for a given rectangle, it's segments should be layed out such that the highest z order is to the right of the lower Z orders. Finally rectangle C would cover up only portions of Rectangle B with it's 30% segment that is z order 3, which would be on the left. You can hopefully see how the is represented in the output dataset I listed above: 3334455555 CCCBBBBBBB Now to make things more complicated I actually have a 4th column such that this grouping occurs for each key: Input: SomeKey, ObjectID, PercentOfBar, ZOrder (where smaller is closer) X, A, 100, 6 X, B, 50, 5 X, B, 50, 4 X, C, 30, 3 X, C, 70, 6 Y, A, 100, 6 Z, B, 50, 2 Z, B, 50, 6 Z, C, 100, 5 Output: SomeKey, PercentOfBar, ZOrder X, 50, 5 X, 20, 4 X, 30, 3 Y, 100, 6 Z, 50, 2 Z, 50, 5 Notice in the output, the PercentOfBar for each SomeKey would add up to 100%. This is one I know I'm going to be thinking about when I go to bed tonight. Just to be explicit and have a question: What would be a query that would produce the results described above?

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  • Atomic UPSERT in SQL Server 2005

    - by rabidpebble
    What is the correct pattern for doing an atomic "UPSERT" (UPDATE where exists, INSERT otherwise) in SQL Server 2005? I see a lot of code on SO (e.g. see http://stackoverflow.com/questions/639854/tsql-check-if-a-row-exists-otherwise-insert) with the following two-part pattern: UPDATE ... FROM ... WHERE <condition> -- race condition risk here IF @@ROWCOUNT = 0 INSERT ... or IF (SELECT COUNT(*) FROM ... WHERE <condition>) = 0 -- race condition risk here INSERT ... ELSE UPDATE ... where will be an evaluation of natural keys. None of the above approaches seem to deal well with concurrency. If I cannot have two rows with the same natural key, it seems like all of the above risk inserting rows with the same natural keys in race condition scenarios. I have been using the following approach but I'm surprised not to see it anywhere in people's responses so I'm wondering what is wrong with it: INSERT INTO <table> SELECT <natural keys>, <other stuff...> FROM <table> WHERE NOT EXISTS -- race condition risk here? ( SELECT 1 FROM <table> WHERE <natural keys> ) UPDATE ... WHERE <natural keys> (Note: I'm assuming that rows will not be deleted from this table. Although it would be nice to discuss how to handle the case where they can be deleted -- are transactions the only option? Which level of isolation?) Is this atomic? I can't locate where this would be documented in SQL Server documentation.

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  • Fastest way to remove non-numeric characters from a VARCHAR in SQL Server

    - by Dan Herbert
    I'm writing an import utility that is using phone numbers as a unique key within the import. I need to check that the phone number does not already exist in my DB. The problem is that phone numbers in the DB could have things like dashes and parenthesis and possibly other things. I wrote a function to remove these things, the problem is that it is slow and with thousands of records in my DB and thousands of records to import at once, this process can be unacceptably slow. I've already made the phone number column an index. I tried using the script from this post: http://stackoverflow.com/questions/52315/t-sql-trim-nbsp-and-other-non-alphanumeric-characters But that didn't speed it up any. Is there a faster way to remove non-numeric characters? Something that can perform well when 10,000 to 100,000 records have to be compared. Whatever is done needs to perform fast. Update Given what people responded with, I think I'm going to have to clean the fields before I run the import utility. To answer the question of what I'm writing the import utility in, it is a C# app. I'm comparing BIGINT to BIGINT now, with no need to alter DB data and I'm still taking a performance hit with a very small set of data (about 2000 records). Could comparing BIGINT to BIGINT be slowing things down? I've optimized the code side of my app as much as I can (removed regexes, removed unneccessary DB calls). Although I can't isolate SQL as the source of the problem anymore, I still feel like it is.

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