In my previous post I took you through the prerequisites for successfully running a scaled assessment against your SQL Server enterprise.
In this post I’ll take you through how to run a scaled assessment using the dmaDataCollector PowerShell script.
Running a scaled assessment
Ensure that the PowerShell modules have been loaded into the modules directory and that an inventory has been created. If not, see Part 1 of this series before continuing.
Open PowerShell and run the dmaDataCollector function.
- getServerListFrom – Your inventory. Possible values are SqlServer or CSV
- serverName – The SQL Server instance name of the inventory when using SqlServer in the getServerListFrom parameter
- databaseName – The database hosting the inventory table
- AssessmentName – The name of the DMA Assessment
- TargetPlatform – The assessment target type you would like to perform. Possible values are AzureSQLDatabase, SQLServer2012, SQLServer2014, SQLServer2016, SQLServerLinux2017, SQLServerWindows2017
- AuthenticationMethod – The authentication method for connecting to the SQL Server targets to assess. Possible values are SQLAuth and WindowsAuth
- OutputLocation – The location to store the JSON assessment output file
If there is an unexpected error then the command window which gets initiated by this process will be terminated. Review the error log to see why it failed.
The output file
The output file will be written to the directory specified in the OutputLocation parameter.
Note that depending on the number of databases being assessed and the number of objects within the databases, the assessments can take a very long time. The file will be written once the assessments have completed.
In the next post we will look at how to consume this assessment JSON file in preparation for reporting.
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