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Home 2016 November SQL Server: Generate Shrink Script for each Database File

SQL Server: Generate Shrink Script for each Database File

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In this post, I am providing one T-SQL script which generates DBCC Shrinkfile for each database file of the SQL Server.

You can also visit one of the related article:
SQL Server: The TempDB is Full, Shrink it or Move it

Generally, database administrator prefers to execute SHRINK when the database file is occupying more space and require to free unused space.

But In common practice, we should not execute SHRINK on any of SQL Server Database because it generates more fragmentation.
After SHRINK, we should execute the index rebuild or index reorganize to remove all fragmentation.

But still, I am sharing one T-SQL script which generates SHRINK script for each database file.

In one of our standby server, I require to execute SHRINK for each database so I have prepared this script.

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SELECT
'use ' + db_name(dbid) + char(13) + 'dbcc shrinkfile (' + quotename(sf.name,'''') + ' ,truncateonly)'
FROM sys.sysaltfiles AS sf
INNER JOIN sys.databases d
ON sf.dbid = d.database_id
WHERE d.state_desc = 'online'

Nov 4, 2016Anvesh Patel
SQL Server: Script to find Memory usage and allocationSQL Server: Script to rename Database Name, Table Name, Column Name
Anvesh Patel
Anvesh Patel

Database Engineer

November 4, 2016 SQL Server, SQL Server DBA ScriptAnvesh Patel, database, database research and development, dbcc shrinkfile, dbrnd, SQL Query, SQL Server, SQL Server Administrator, SQL Server Monitoring, SQL Server Performance Tunning, SQL Server Tips and Tricks, TSQL
About Me!

I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

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