Modifier

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Get-AzDataMigrationSkuRecommendation

Gives SKU recommendations for Azure SQL offerings

Syntax

Get-AzDataMigrationSkuRecommendation
   [-OutputFolder <String>]
   [-TargetPlatform <String>]
   [-TargetSqlInstance <String>]
   [-TargetPercentile <String>]
   [-ScalingFactor <String>]
   [-StartTime <String>]
   [-EndTime <String>]
   [-Overwrite]
   [-DisplayResult]
   [-ElasticStrategy]
   [-DatabaseAllowList <String>]
   [-DatabaseDenyList <String>]
   [-PassThru]
   [<CommonParameters>]
Get-AzDataMigrationSkuRecommendation
   -ConfigFilePath <String>
   [-PassThru]
   [<CommonParameters>]

Description

Gives SKU recommendations for Azure SQL offerings

Examples

Example 1: Run SKU Recommendation on given SQL Server using connection string

Get-AzDataMigrationSkuRecommendation -DisplayResult

Starting SKU recommendation...

Performing aggregation for instance AALAB03-2K8...
Aggregation complete. Calculating SKU recommendations...
Instance name: AALAB03-2K8
SKU recommendation: Azure SQL Managed Instance:
Compute: Gen5 - GeneralPurpose - 4 cores
Storage: 64 GB
Recommendation reasons:
        According to the performance data collected, we estimate that your SQL server instance has a requirement for 0.16 vCores of CPU. For greater flexibility, based on your scaling factor of 100.00%, we are making a recommendation based on 0.16 vCores. Based on all the other factors, including memory, storage, and IO, this is the smallest compute sizing that will satisfy all of your needs.
        This SQL Server instance requires 0.44 GB of memory, which is within this SKU's limit of 20.40 GB.
        This SQL Server instance requires 32.37 GB of storage for data files. We recommend provisioning 64 GB of storage, which is the closest valid amount that can be provisioned that meets your requirement.
        This SQL Server instance requires 0.00 MB/second of combined read/write IO throughput. This is a relatively idle instance, so IO latency is not considered.
        Assuming the database uses the Full Recovery Model, this SQL Server instance requires 1 IOPS for data and log files. 
        This is the most cost-efficient offering among all the performance eligible SKUs.


Finishing SKU recommendations...
Event and Error Logs Folder Path: C:\Users\vmanhas\AppData\Local\Microsoft\SqlAssessment\Logs

This command runs Run SKU Recommendation on given SQL Server using the connection string.

Example 2: Run Run SKU Recommendation on given SQL Server using assessment config file

Get-AzDataMigrationSkuRecommendation -ConfigFilePath "C:\Users\user\document\config.json"

Starting SKU recommendation...

Performing aggregation for instance AALAB03-2K8...
Aggregation complete. Calculating SKU recommendations...
Instance name: AALAB03-2K8
SKU recommendation: Azure SQL Managed Instance:
Compute: Gen5 - GeneralPurpose - 4 cores
Storage: 64 GB
Recommendation reasons:
        According to the performance data collected, we estimate that your SQL server instance has a requirement for 0.16 vCores of CPU. For greater flexibility, based on your scaling factor of 100.00%, we are making a recommendation based on 0.16 vCores. Based on all the other factors, including memory, storage, and IO, this is the smallest compute sizing that will satisfy all of your needs.
        This SQL Server instance requires 0.44 GB of memory, which is within this SKU's limit of 20.40 GB.
        This SQL Server instance requires 32.37 GB of storage for data files. We recommend provisioning 64 GB of storage, which is the closest valid amount that can be provisioned that meets your requirement.
        This SQL Server instance requires 0.00 MB/second of combined read/write IO throughput. This is a relatively idle instance, so IO latency is not considered.
        Assuming the database uses the Full Recovery Model, this SQL Server instance requires 1 IOPS for data and log files. 
        This is the most cost-efficient offering among all the performance eligible SKUs.


Finishing SKU recommendations...
Event and Error Logs Folder Path: C:\Users\vmanhas\AppData\Local\Microsoft\SqlAssessment\Logs

This command runs Run SKU Recommendation on given SQL Server using the config file.

Parameters

-ConfigFilePath

Path of the ConfigFile

Type:String
Position:Named
Default value:None
Required:True
Accept pipeline input:False
Accept wildcard characters:False

-DatabaseAllowList

Optional. Space separated list of names of databases to be allowed for SKU recommendation consideration while excluding all others. Only set one of the following or neither: databaseAllowList, databaseDenyList. How to pass - "Database1 Database2" (Default: null)

Type:String
Position:Named
Default value:None
Required:False
Accept pipeline input:False
Accept wildcard characters:False

-DatabaseDenyList

Optional. Space separated list of names of databases to not be considered for SKU recommendation. Only set one of the following or neither: databaseAllowList, databaseDenyList. How to pass - "Database1 Database2" (Default: null)

Type:String
Position:Named
Default value:None
Required:False
Accept pipeline input:False
Accept wildcard characters:False

-DisplayResult

Optional. Whether or not to print the SKU recommendation results to the console.

Type:SwitchParameter
Position:Named
Default value:None
Required:False
Accept pipeline input:False
Accept wildcard characters:False

-ElasticStrategy

Optional. Whether or not to use the elastic strategy for SKU recommendations based on resource usage profiling.

Type:SwitchParameter
Position:Named
Default value:None
Required:False
Accept pipeline input:False
Accept wildcard characters:False

-EndTime

Optional. UTC end time of performance data points to consider during aggregation, in YYYY-MM-DD HH:MM format. Only used for baseline (non-elastic) strategy. (Default: all data points collected will be considered)

Type:String
Position:Named
Default value:None
Required:False
Accept pipeline input:False
Accept wildcard characters:False

-OutputFolder

Folder which data and result reports will be written to/read from. The value here must be the same as the one used in PerfDataCollection

Type:String
Position:Named
Default value:None
Required:False
Accept pipeline input:False
Accept wildcard characters:False

-Overwrite

Optional. Whether or not to overwrite any existing SKU recommendation reports.

Type:SwitchParameter
Position:Named
Default value:None
Required:False
Accept pipeline input:False
Accept wildcard characters:False

-PassThru

Type:SwitchParameter
Position:Named
Default value:None
Required:False
Accept pipeline input:False
Accept wildcard characters:False

-ScalingFactor

Optional. Scaling (comfort) factor used during SKU recommendation. For example, if it is determined that there is a 4 vCore CPU requirement with a scaling factor of 150%, then the true CPU requirement will be 6 vCores. (Default: 100)

Type:String
Position:Named
Default value:None
Required:False
Accept pipeline input:False
Accept wildcard characters:False

-StartTime

Optional. UTC start time of performance data points to consider during aggregation, in YYYY-MM-DD HH:MM format. Only used for baseline (non-elastic) strategy. (Default: all data points collected will be considered)

Type:String
Position:Named
Default value:None
Required:False
Accept pipeline input:False
Accept wildcard characters:False

-TargetPercentile

Optional. Percentile of data points to be used during aggregation of the performance data. Only used for baseline (non-elastic) strategy. (Default: 95)

Type:String
Position:Named
Default value:None
Required:False
Accept pipeline input:False
Accept wildcard characters:False

-TargetPlatform

Optional. Target platform for SKU recommendation: either AzureSqlDatabase, AzureSqlManagedInstance, AzureSqlVirtualMachine, or Any. If Any is selected, then SKU recommendations for all three target platforms will be evaluated, and the best fit will be returned. (Default: Any)

Type:String
Position:Named
Default value:None
Required:False
Accept pipeline input:False
Accept wildcard characters:False

-TargetSqlInstance

Optional. Name of the SQL instance that SKU recommendation will be targeting. (Default: outputFolder will be scanned for files created by the PerfDataCollection action, and recommendations will be provided for every instance found)

Type:String
Position:Named
Default value:None
Required:False
Accept pipeline input:False
Accept wildcard characters:False

Outputs

Boolean