Blockchain database size sql server 2012
This email address is already registered. You have exceeded the maximum character limit. Please provide a Corporate E-mail Address. Please check the box if you want to proceed. I always recommend to my clients and colleagues not to shrink database files, especially on a regular basis, before they investigate the cause of the database's growth. I had this discussion a few times already with people who are more concerned about disk space than about performance, so I decided to test it in order to prove to myself and others what the SQL Server performance impacts are when a database file grows as a result of a transaction.
This is the first tip in the series and examines database data file growth in SQL Server. The hardware and software configuration of the system where I am performing the tests is as follows:. Hardware and software configurations for test system.
ShrinkDB database files and properties. My goal is to test performance based on the size of the transaction and the data file autogrowth ratio:. For each test, I determine an initial file size and an autogrowth ratio of the database file. I also have a target file size for the database file, so the first loop to be executed is supposed to insert rows until at least the target size for the data file is reached:.
This loop inserts byte rows into the ExpandDB table, row by row, until the database file grows beyond X. The ExpandDB table is a heap table, with no index or constraint, to avoid any special optimization or index overhead. After running the first loop and reaching the target file size, for comparison I need to execute the same amount of inserts but without growing the file. For that reason, I have to truncate the table and clean up the transaction log — to make sure the T-Log does not grow either.
Another important thing is to clean the cache before executing first and second loops in order to have a fair performance comparison and to eliminate inequality related to caching:. And last, each test will be executed three times in a row three iterations to make sure the results are compatible. Hence, the first step in each iteration will be to make sure the desired data file's initial size is reached. For example, shrinking the database file:.
The summary of the results is represented in a tabular comparison of CPU, reads, writes and duration between the first and the second loops — first with file growth and then without file growth. There are two lines of comparison: If the value is positive, it means the second loop performs better. If it's negative, it means the opposite.
At the end of each comparison table, the average of the comparisons includes the average of the results from the three iterations. Click here to download the script above. Here are SQL Profiler results of three consecutive executions of the above code I removed the "debugging" queries for convenience:. SQL Profiler results from three executions. Click on image for enlarged view. SQL code to test a higher number of inserts. Click here to download the SQL script above. In this test, the code is the same as in Test 2, but the database data file is now configured to autogrow by 10 MB.
In this test, I insert the rows of the ShrinkDB table to the ShrinkTable again, in a large transaction rows at once. I am testing how file growth affects large transactions. SQL code to test how file growth affects large transactions. In this test, the code is identical to the one running in Test 4, but the file autogrowth is set to 10 MB.
Test to allow the SQL data file to grow. Test to allow no SQL data file growth. The results prove that performance decreases due to file autogrowth, especially when transactions are short and autogrowth is small. Also, the higher the autogrowth, the better the performance.
Another limitation to consider is that SQL Server Express editions go into an idle mode after a period of disuse. Understanding SQL Express behavior: When SQL Express is idle it aggressively trims back the working memory set by writing the cached data back to disk and releasing the memory.
But this is easily worked around: You can create user instances and have each app talk to its very own SQL Express. If you switch from Web to Express you will no longer be able to use the SQL Server Agent service so you need to set up a different scheduler for maintenance and backups. You can't install Integration Services with it. Express does not support Integration Services.
Thank you for your interest in this question. Because it has attracted low-quality or spam answers that had to be removed, posting an answer now requires 10 reputation on this site the association bonus does not count. Would you like to answer one of these unanswered questions instead? Email Sign Up or sign in with Google. What I would like to know is: Are there any other limitations I should be wary of?
Review the upgrade documentation for the new version of the database engine to see if there are compatibility issues that might affect your database or applications:. Upgrade to SQL Server If your DB instance uses a custom option group, create a new option group compatible with the new version you are upgrading to.
For more information, see Option Group Considerations. If your DB instance uses a custom parameter group, create a new parameter group compatible with the new version you are upgrading to.
For more information, see Parameter Group Considerations. Create a DB snapshot of the DB instance to be upgraded. For more information, see Creating a DB Snapshot. Restore the DB snapshot to create a new test DB instance.
For more information, see Restoring from a DB Snapshot. Modify this new test DB instance to upgrade it to the new version, by using one of the following methods:. Evaluate the storage used by the upgraded instance to determine if the upgrade requires additional storage. Run as many of your quality assurance tests against the upgraded DB instance as needed to ensure that your database and application work correctly with the new version.
Implement any new tests needed to evaluate the impact of any compatibility issues you identified in step 1. Test all stored procedures and functions.
Direct test versions of your applications to the upgraded DB instance. If all tests pass, then perform the upgrade on your production DB instance. We recommend that you do not allow write operations to the DB instance until you confirm that everything is working correctly. To apply changes immediately, use --apply-immediately.
For more information, see The Impact of Apply Immediately.