Database Shrink is a process to remove unused space allocated to the database or database files to the disk. When we shrink database log file or data files, it recovers space by moving pages of data from the end of the file to unoccupied space closer to the front of the file.

Data that is moved to shrink database files can be scattered to any available location in the file. This causes index fragmentation and can slow the performance of queries that search a range of the index.

To eliminate the fragmentation, consider rebuilding the indexes on the file after shrinking. SQL Server database engine will automatically perform shrink database operation on your database whenever required.

Shrinking SQL Server Data Files – Best Practices, and Why It Sucks

Shrink database operation runs at file level. The answer of this question is simple, we should not perform shrink operation regularly. Database Shrink operation is resource intensive operations because data pages are moved from the end of the file to unoccupied space closer to the front of the file.

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You might also face some blocking issues during the shrink operation. SQL Server shrink database files should be avoided. We should generally perform shrink operation if we truncate or drop table or tables from the database. If we remove or purge bigger chunk of data from your database then also we can perform shrink operation to reclaim the unused space to the disk. Always leave some space to the database to perform its routine operations.

Most databases require some free space for regular day-to-day operations. Do Not Shrink such databases and their database files because databases will again allocate required space for their operation. Make sure to rebuild your indexes post database shrink operation if you need to perform it. Also you should keep this in mind that we cannot shrink a database while the database is being backed up.

Similarly, you cannot backup a database while a shrink operation on the database is in process. Here you have learnt about SQL Server shrink database files. I hope you like this article.And why might it fail in some cases? Sometimes it sounds kinda angry. You just want to have a smaller database. But these things are why you generally want to avoid shrinking whenever possible.

Data growth and grooming should never be dictated by disk space. The data is more important in than the disk space! Sure, shrinking stinks, and you avoid it when you can.

can i stop shrink database

But sometimes you have a one-time archive of a lot of data. And maybe find a show to binge-watch on Netflix while your shrink is running. Could you elaborate a bit more on shrinking log files in specific? Is this less bad than shrinking data files?

Great question! The log is completely different from data files. It goes into a lot of detail to explain how the log works, why it might grow excessively, and how to prevent it from growing. I am trying to shrink a large 3. The odd thing is that each iteration completes with no errors, but the file size remains the same.

This is a new dev env on which I have exclusive use at the moment, so no contention from competing processes. Could it be that you have a lot of ghost records still? Thanks, I am trying that and will let you know how it goes.

A bit of background: the huge amount of free space within the file resulted from the dropping of 2 xml columns from a single table. I wonder if that would have produced ghost records…. The deletion of the 2 xml columns was done quite a while ago over 2 months now in the prod env. The database was restored recently to the dev env on which I am attempting the shrink.

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So I would assume that the background process that cleans up the ghost records would have already taken place in prod? BTW, I have opened an MS case on this, and they have suggested that we rebuild all indexes on that file prior to the shrink. I have never seen this suggested before — does it make sense? We hit the threading limit on comments below so answering the thing about rebuilding indexes here.

This is related to dropping a variable length column second guess. So yes, their suggestion does make sense to me. This site uses Akismet to reduce spam. Learn how your comment data is processed. Published November 8, Kendra Little. Shrinking may stop running and not tell you why. Not really.More actions. Have been lurking off and on for a few months.

Lots of great info. I'm not a DBA, but I'm having to play that role for my team. I had a good reason to shrink a database will give details if requested. I decided to use the GUI to do it. It started at am two days ago and it's now am. The data and log files still have the same size and the disk looks like it's being maxed out. CPU usage is very low. The db file is GB. It is in multiuser mode, but I am the only user logged in and there are no other processes running.

The cancel button is grayed out. If I were using the command line in a query window, I could cancel the 'query'. Again, I'm using this server as a test right now.

I'm torn between letting it run longer to see how long it takes and what the shrink process did, and stopping it so I can continue with my testing.

I'm more curious than anything else. I would appreciate anyone taking a stab at educating me on this issue. In the meantime I will continue browsing through the posts; I feel like I have found the 'Cave of Wonders'. Gail Shaw. No way from the gui. Open a query window, find the session id that the shrink is running from and KILL it.

Shrinking causes massive fragmentation and will just result in the data file growing again next time data gets added. When that happens, the entire system will slow down as the file is expanded.

Also repeated shrinks and grows will cause fragmentation at the file-system level, which is hard to fix. If you're shrinking to reclaim space that will not be reused for a long time, make sure this is a once-off operation, and rebuild all your indexes afterwards.

can i stop shrink database

This is a monster production db that we are restoring to this server to be used to develop new code against it. It has several years' worth of data. Some tables more than others. I'm planning to delete all but two years' worth of data from those tables. We also have some tables that will not be used at all. I will truncate those.


I expect this will save about GB. So, this will be a one-time shrink. I naively decided to do a test shrink before I deleted anything to see if it would shrink some, and now I have a runaway shrink process. A year ago we moved our production DW from this server to a much bigger server with about 30 drives.

Db, log, and tempdb files are all separate. Since our budget is super tight, we're trying to enable the old server as our development server.

I need to move about 4 dbs in there.From time to time, DBAs find themselves in a situation where a SQL Server database becomes too large for their production environment and needs to be shrunk in size in order to free space and allocate it back to the system.

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Before shrinking a SQL Server database or database files, it is very important to understand how the process works and what are the immediate consequences of the shrinking process. Shrinking a SQL Server database is a process in which unused space that was previously in use at some point is being removed from the database. SQL Server performs this process by moving pages of data from the end of the database file to the front of it as if in a bookfilling up free space in the front pages and freeing pages closer to the end of the data file.

With this, data pages at the end of the data file that are now unused can be reallocated back to the system, freeing the previously reserved space as a result.

The shrinking process is always moving in that specific direction, from the end of the file towards the front. Nevertheless, there are some critical situations where it is considered as the only valid or applicable solution:.

In order to display the data and log files information for a SQL Server database and check the disk space information:. Running the stored procedure is a more convenient option, since it allows running the check against a specific table only. Before deciding to shrink a database, it is important to be aware of all limitations and restrictions of the database shrinking process, as well as a possible negative impact on the database and SQL Server performance.

Note: if Reorganize files before releasing unused space option is checked, it will be possible to choose percent of maximum remaining free space in files after the shrinking process is finished.

SQL Server DBA Tutorial 32- How to Shrink Database And Database Files in SQL Server

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Solution center.A few days earlier, we were approached by a client who had a SQL Server database of very large size and it was surpassing their disk space.

The first thing that came to our mind was to shrink the size of the complete database and to retain the space 20 GB that was not in use anymore. The shrinking data files in SQL Server was initiated and it took a considerable amount of time. When the process finished, what we got in the end was totally opposite to what we had expected. The performance of the database had got worse than before, even though its size was decreased.

This is when I realized that shrinking data files in SQL Server, is definitely not an option you should opt for when your database size increases. So, here I will share my experience with you and alert you that shrinking the database is the worst decision you will ever make in your life.

The auto-shrink option when enabled automatically helps in shrinking data files in SQL Server at regular intervals of time.

can i stop shrink database

Not only this is hazardous but also it is the most dangerous thing that you are doing to your SQL Server database. This can be summarized in the below-mentioned steps:. The algorithms that are employed in the shrink command are usually of brute force. The algorithms starts the shrinking process at the end of file, retrieves the allocation pages and moves the pages in the starting of the file.

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This procedure is fine in case no indexes are present. However, in case the indexes are present, the clustered or non-clustered index leaf-page is moved by shrink and fragmentation occurs. A user cannot control when the shrink operation will start. It effects the overall performance of the SQL Server. It does not have any long-term harmful effects on the database, but it does consume many resources like IO and CPU, thus effecting other processes as well.

In addition to this, it also slows down the functioning as it moves the data through buffer many times and thus moves the hot pages to the disk. If you are using auto-shrink, you will definitely get your database into a vicious cycle of auto-grow then auto-shrink and then again auto-grow and so on. An active database always requires some free space for normal functioning.According to Microsoft's documentation the dbcc shrinkfile process can be stopped at any time without impact, and resumed at a later time if necessary.

In the event I need to stop the shrinkfile process, what is the correct way to do this without any risk of data corruption? Do I just hard kill the process or is there a better way? Then simply click on "Stop" button. Then stop the job. BTW, you could shrink the files also "chunk by chunk", means always only for a predefined size, e.

When performing large shrink operations on a large database I tend to process the shrink task incrementally. I usually run this operation from the job agent and log the operation to a text file. The following bit of code should do the trick.

can i stop shrink database

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This is the place for advice and discussions 2 0. Sign in to vote. Thursday, October 10, PM. No corruption. Just press cancel the query. It does release the space at the end of the file you are shrinking BUT does not perform many data page movement Thus it should take less time Friday, October 11, AM.

Kill SPID. HI When performing large shrink operations on a large database I tend to process the shrink task incrementally.Hello guys, I need help, because i'm executing a shrink database file file with GBytes of sizeand i need to stop before it finish. If I stop the shrink process exist any possible that data corruption occurred. Best regards, Fernando Costa.

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Whats the reason? Plz suggest I am dealing with a database containing data. Hello all I want to cause the package to fail in DataFlow. I wanted use the script component for this purpose.

How I can do it? I have some code that I inherited that I'm having an issue with. It includes a class for database functionality. What is amazing and frustrating me is that it just Blows Right by the Error!

I thought it would raise the alarm bells, "hey! I got a sql error. I tried removing the catch statement entirely, thinking that would at least cause an unhandled exception error, but no go. How do I raise a big red flag to the user when SQL errors happen? And how could it not be doing that automatically?

This is for an intranet site so I really don't care if they see ugly errors or not. Hi, I need to make my package check a variable value at the begining of the execution and depending on the value of that variable it decides either to continue or stop the package execution. How can i do that? Hello, I have stored procedure that when executed it will check to see if a given name is found in the database, if the name is found, I would like to have it continue on to do its work, however if the name is not found, I would like it to raise an error and then stop execution at that point, however, the way it is currently working is, if the name is not found, it catches the error, raises it and then continues on and tries to do its work, which then it bombs out because it can't.

I wasn't sure if there was a way to stop the execution of the procedure in the catch statement. I don't think I want to raise the error level to because I don't want to drop the connection to the database per say, I just want to halt execution. Any advice would be appreciated on how to best handle my situation! Thanks, Flea. A few of the databases I have are take up a lot of space, but when I look at the actual space that's being used, it's very small.

I've tried shrinking them but they still remain at this bloated size. Is there any other way to reduce their size? I am in the process of copying database from large size to smaller size one. The actual data in the database is very less. When I try to shrink the database, I am getting message I can't shrink the database. Can any one suggest on 'How to copy this database?