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Home 2016 January SQL Server 2012: Introduced dm_db_log_space_usage to find a Log size

SQL Server 2012: Introduced dm_db_log_space_usage to find a Log size

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The SQL Server log and its maintenance are one of the important tasks for a Database Administrator.
There are many optimized ways to configured SQL Server log, but then also we have to monitor the size of SQL Server logs.

Before SQL Server 2012, we have different methods to find size of SQL Server Database Log like DBCC commands, but now SQL Server 2012 introduced new dynamic management view name is dm_db_log_space_usage and using this dm-view we can quickly calculate the size of the SQL Server Database log.

Below is a script to find the size of the SQL Server Database log.

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SELECT
DB_NAME(database_id) AS DatabaseName
,ROUND(CONVERT(FLOAT,total_log_size_in_bytes/1024)/1024,2) AS LogSizeInMB
,ROUND(CONVERT(FLOAT,used_log_space_in_bytes/1024)/1024,2) AS LogUsedSizeInMB
,ROUND(used_log_space_in_percent,2) AS LogUsedPercentInMB
FROM
sys.dm_db_log_space_usage

Jan 25, 2016Anvesh Patel
SQL Server 2012: Custom paging using OFFSET and FETCH NEXTDatabase Design: Should we allow NULL or We should apply NOT NULL ?
Comments: 1
  1. susan
    February 7, 2016 at 6:57 pm

    Ahaa, its fastidious discussion about this paragraph here at this webpage,
    I have read all that, so now me also commenting here.

Anvesh Patel
Anvesh Patel

Database Engineer

January 25, 2016 SQL Server, SQL Server DBA ScriptAnvesh Patel, database, database research and development, dbrnd, dm_db_log_space_usage, 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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