BI SQL # 140 : SQL Server DBA Scripts : Database size growth as a pivot table

Hi Folks,

In this article we are going to cover the Database size growth as a pivot table.

In this post we are going to discuss following points:

• Problem Statement of SQL Script:
• Description of SQL Script:
• SQL Script Output Column
• SQL Script Code
• User Level to execute

Problem Statement of SQL Script:

Get Database size growth as a pivot table.

Description of SQL Script:

This Transact-SQL script uses the backup history to analyze the growth of the databases size over last twelve months and expose the average size of each month per database in a pivot table.

SQL Script Output Column

SQL Script Code

DECLARE @startDate DATETIME;

SET @startDate = GetDate();

SELECT PVT.DatabaseName
    ,PVT.[0]
    ,PVT.[-1]
    ,PVT.[-2]
    ,PVT.[-3]
    ,PVT.[-4]
    ,PVT.[-5]
    ,PVT.[-6]
    ,PVT.[-7]
    ,PVT.[-8]
    ,PVT.[-9]
    ,PVT.[-10]
    ,PVT.[-11]
    ,PVT.[-12]
FROM (
    SELECT BS.database_name AS DatabaseName
        ,DATEDIFF(mm, @startDate, BS.backup_start_date) AS 
        MonthsAgo
        ,CONVERT(NUMERIC(10, 1), AVG(BF.file_size / 1048576.0)) 
        AS AvgSizeMB
    FROM msdb.dbo.backupset AS BS
    INNER JOIN msdb.dbo.backupfile AS BF ON BS.backup_set_id = BF.
        backup_set_id
    WHERE NOT BS.database_name IN (
            'master'
            ,'msdb'
            ,'model'
            ,'tempdb'
            )
        AND BF.[file_type] = 'D'
        AND BS.backup_start_date BETWEEN DATEADD(yy, - 1, 
                    @startDate)
            AND @startDate
    GROUP BY BS.database_name
        ,DATEDIFF(mm, @startDate, BS.backup_start_date)
    ) AS BCKSTAT
PIVOT(SUM(BCKSTAT.AvgSizeMB) FOR BCKSTAT.MonthsAgo IN (
            [0]
            ,[-1]
            ,[-2]
            ,[-3]
            ,[-4]
            ,[-5]
            ,[-6]
            ,[-7]
            ,[-8]
            ,[-9]
            ,[-10]
            ,[-11]
            ,[-12]
            )) AS PVT
ORDER BY PVT.DatabaseName

User Level to execute

300

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