Invoke-AzDataFactoryV2DataFlowDebugSessionCommand

Invoke-AzDataFactoryV2DataFlowDebugSessionCommand
    [-SessionId] <String>
    [-Command] <String>
    [-StreamName] <String>
    [[-RowLimit] <Int32>]
    [[-Expression] <String>]
    [[-Column] <System.Collections.Generic.List`1[System.String]>]
    [-ResourceGroupName] <String>
    [-DataFactoryName] <String>
    [-AsJob]
    [-DefaultProfile <IAzureContextContainer>]
    [-WhatIf]
    [-Confirm]
    [<CommonParameters>]

Invoke-AzDataFactoryV2DataFlowDebugSessionCommand
    [-SessionId] <String>
    [-Command] <String>
    [-StreamName] <String>
    [[-RowLimit] <Int32>]
    [[-Expression] <String>]
    [[-Column] <System.Collections.Generic.List`1[System.String]>]
    [-DataFactory] <PSDataFactory>
    [-AsJob]
    [-DefaultProfile <IAzureContextContainer>]
    [-WhatIf]
    [-Confirm]
    [<CommonParameters>]

Invoke-AzDataFactoryV2DataFlowDebugSessionCommand
    [-SessionId] <String>
    [-Command] <String>
    [-StreamName] <String>
    [[-RowLimit] <Int32>]
    [[-Expression] <String>]
    [[-Column] <System.Collections.Generic.List`1[System.String]>]
    [-ResourceId] <String>
    [-AsJob]
    [-DefaultProfile <IAzureContextContainer>]
    [-WhatIf]
    [-Confirm]
    [<CommonParameters>]

Este comando ejecuta la vista previa de datos, la vista previa de estadísticas y la vista previa de expresiones para diferentes flujos de datos en la sesión de depuración. La secuencia de comandos de PowerShell para el flujo de trabajo de depuración de flujo de datos debe ser:

1. Start-AzDataFactoryV2DataFlowDebugSession
2. Add-AzDataFactoryV2DataFlowDebugSessionPackage
3. Invoke-AzDataFactoryV2DataFlowDebugSessionCommand (repita este paso para distintos comandos o destinos, o repita el paso 2-3 para cambiar el archivo de paquete).
4. Stop-AzDataFactoryV2DataFlowDebugSession

$result = Invoke-AzDataFactoryV2DataFlowDebugSessionCommand -ResourceGroupName adf -DataFactoryName WiKiADF -Command executePreviewQuery -SessionId fd76cd0d-8b37-4dc0-a370-3f9d43ac686d -StreamName source1 -RowLimit 100 -AsJob
$result

Id     Name            PSJobTypeName   State         HasMoreData     Location             Command
--     ----            -------------   -----         -----------     --------             -------
3      Long Running... AzureLongRun... Running       True            localhost            Invoke-AzDataFactoryV2...


(After 2 minutes)

$result

Id     Name            PSJobTypeName   State         HasMoreData     Location             Command
--     ----            -------------   -----         -----------     --------             -------
3      Long Running... AzureLongRun... Completed     True            localhost            Invoke-AzDataFactoryV2...

$output = ConvertFrom-Json($result.Output.Data)
$output.output

    {
      "schema": "output(ResourceAgencyNum as string, PublicName as string)" ,
      "data": [["4445679354", "Syrian Refugee Information", 1], ["44456793", "Syrian Refugee Information", 1]]
    }

En este ejemplo se invoca el comando de vista previa de datos para la sesión de depuración "fd76cd0d-8b37-4dc0-a370-3f9d43ac686d" en la factoría de datos "WiKiADF" y, a continuación, se convierte la salida JSON en una cadena legible.

Este cmdlet admite los parámetros comunes: -Debug, -ErrorAction, -ErrorVariable, -InformationAction, -InformationVariable, -OutBuffer, -OutVariable, -PipelineVariable, -ProgressAction, -Verbose, -WarningAction y -WarningVariable. Para obtener más información, vea about_CommonParameters.

Palabras clave: azure, azurerm, arm, resource, management, manager, data, factorysKeywords: azure, azurerm, arm, resource, management, manager, data, factorys