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How to set up a CI/CD pipeline for Azure Data Lake Analytics

  • Artikkeli

In this article, you learn how to set up a continuous integration and deployment (CI/CD) pipeline for U-SQL jobs and U-SQL databases.

Important

Azure Data Lake Analytics retired on 29 February 2024. Learn more with this announcement.

For data analytics, your organization can use Azure Synapse Analytics or Microsoft Fabric.

Note

We recommend that you use the Azure Az PowerShell module to interact with Azure. See Install Azure PowerShell to get started. To learn how to migrate to the Az PowerShell module, see Migrate Azure PowerShell from AzureRM to Az.

Use CI/CD for U-SQL jobs

Azure Data Lake Tools for Visual Studio provides the U-SQL project type that helps you organize U-SQL scripts. Using the U-SQL project to manage your U-SQL code makes further CI/CD scenarios easy.

Build a U-SQL project

A U-SQL project can be built with the Microsoft Build Engine (MSBuild) by passing corresponding parameters. Follow the steps in this article to set up a build process for a U-SQL project.

Project migration

Before you set up a build task for a U-SQL project, make sure you have the latest version of the U-SQL project. Open the U-SQL project file in your editor and verify that you have these import items:

<!-- check for SDK Build target in current path then in USQLSDKPath-->
<Import Project="UsqlSDKBuild.targets" Condition="Exists('UsqlSDKBuild.targets')" />
<Import Project="$(USQLSDKPath)\UsqlSDKBuild.targets" Condition="!Exists('UsqlSDKBuild.targets') And '$(USQLSDKPath)' != '' And Exists('$(USQLSDKPath)\UsqlSDKBuild.targets')" />

If not, you have two options to migrate the project:

  • Option 1: Change the old import item to the preceding one.
  • Option 2: Open the old project in the Azure Data Lake Tools for Visual Studio. Use a version newer than 2.3.3000.0. The old project template will be upgraded automatically to the newest version. New projects created with versions newer than 2.3.3000.0 use the new template.

Get NuGet

MSBuild doesn't provide built-in support for U-SQL projects. To get this support, you need to add a reference for your solution to the Microsoft.Azure.DataLake.USQL.SDK NuGet package that adds the required language service.

To add the NuGet package reference, right-click the solution in Visual Studio Solution Explorer and choose Manage NuGet Packages. Or you can add a file called packages.config in the solution folder and put the following contents into it:

<?xml version="1.0" encoding="utf-8"?>
<packages>
  <package id="Microsoft.Azure.DataLake.USQL.SDK" version="1.3.180620" targetFramework="net452" />
</packages>

Manage U-SQL database references

U-SQL scripts in a U-SQL project might have query statements for U-SQL database objects. In that case, you need to reference the corresponding U-SQL database project that includes the objects' definition before you build the U-SQL project. An example is when you query a U-SQL table or reference an assembly.

Learn more about U-SQL database project.

Note

The DROP statement may cause an accidental deletion. To enable DROP statement, you need to explicitly specify the MSBuild arguments. AllowDropStatement will enable non-data related DROP operation, like drop assembly and drop table valued function. AllowDataDropStatement will enable data related DROP operation, like drop table and drop schema. You have to enable AllowDropStatement before using AllowDataDropStatement.

Build a U-SQL project with the MSBuild command line

First migrate the project and get the NuGet package. Then call the standard MSBuild command line with the following arguments to build your U-SQL project:

msbuild USQLBuild.usqlproj /p:USQLSDKPath=packages\Microsoft.Azure.DataLake.USQL.SDK.1.3.180615\build\runtime;USQLTargetType=SyntaxCheck;DataRoot=datarootfolder;/p:EnableDeployment=true

The arguments definition and values are as follows:

  • USQLSDKPath=<U-SQL Nuget package>\build\runtime. This parameter refers to the installation path of the NuGet package for the U-SQL language service.

  • USQLTargetType=Merge or SyntaxCheck:

    • Merge. Merge mode compiles code-behind files. Examples are .cs, .py, and .r files. It inlines the resulting user-defined code library into the U-SQL script. Examples are a dll binary, Python, or R code.

    • SyntaxCheck. SyntaxCheck mode first merges code-behind files into the U-SQL script. Then it compiles the U-SQL script to validate your code.

  • DataRoot=<DataRoot path>. DataRoot is needed only for SyntaxCheck mode. When it builds the script with SyntaxCheck mode, MSBuild checks the references to database objects in the script. Before building, set up a matching local environment that contains the referenced objects from the U-SQL database in the build machine's DataRoot folder. You can also manage these database dependencies by referencing a U-SQL database project. MSBuild only checks database object references, not files.

  • EnableDeployment=true or false. EnableDeployment indicates if it's allowed to deploy referenced U-SQL databases during the build process. If you reference a U-SQL database project and consume the database objects in your U-SQL script, set this parameter to true.

Continuous integration through Azure Pipelines

In addition to the command line, you can also use the Visual Studio Build or an MSBuild task to build U-SQL projects in Azure Pipelines. To set up a build pipeline, make sure to add two tasks in the build pipeline: a NuGet restore task and an MSBuild task.

MSBuild task for a U-SQL project

  1. Add a NuGet restore task to get the solution-referenced NuGet package that includes Azure.DataLake.USQL.SDK, so that MSBuild can find the U-SQL language targets. Set Advanced > Destination directory to $(Build.SourcesDirectory)/packages if you want to use the MSBuild arguments sample directly in step 2.

    NuGet restore task for a U-SQL project

  2. Set MSBuild arguments in Visual Studio build tools or in an MSBuild task as shown in the following example. Or you can define variables for these arguments in the Azure Pipelines build pipeline.

    Define CI/CD MSBuild variables for a U-SQL project

    /p:USQLSDKPath=$(Build.SourcesDirectory)/packages/Microsoft.Azure.DataLake.USQL.SDK.1.3.180615/build/runtime /p:USQLTargetType=SyntaxCheck /p:DataRoot=$(Build.SourcesDirectory) /p:EnableDeployment=true

U-SQL project build output

After you run a build, all scripts in the U-SQL project are built and output to a zip file called USQLProjectName.usqlpack. The folder structure in your project is kept in the zipped build output.

Note

The code-behind files for each U-SQL script will be merged as an inline statement to the script build output.

Test U-SQL scripts

Azure Data Lake provides test projects for U-SQL scripts and C# UDO/UDAG/UDF:

Deploy a U-SQL job

After you verify code through the build and test process, you can submit U-SQL jobs directly from Azure Pipelines through an Azure PowerShell task. You can also deploy the script to Azure Data Lake Store or Azure Blob storage and run the scheduled jobs through Azure Data Factory.

Submit U-SQL jobs through Azure Pipelines

The build output of the U-SQL project is a zip file called USQLProjectName.usqlpack. The zip file includes all U-SQL scripts in the project. You can use the Azure PowerShell task in Pipelines with the following sample PowerShell script to submit U-SQL jobs directly from Azure Pipelines.

<#
   This script can be used to submit U-SQL Jobs with given U-SQL project build output(.usqlpack file).
   This will unzip the U-SQL project build output, and submit all scripts one-by-one.

   Note: the code behind file for each U-SQL script will be merged into the built U-SQL script in build output.

   Example :
      USQLJobSubmission.ps1 -ADLAAccountName "myadlaaccount" -ArtifactsRoot "C:\USQLProject\bin\debug\" -DegreeOfParallelism 2
#>

param(
   [Parameter(Mandatory=$true)][string]$ADLAAccountName, # ADLA account name to submit U-SQL jobs
   [Parameter(Mandatory=$true)][string]$ArtifactsRoot, # Root folder of U-SQL project build output
   [Parameter(Mandatory=$false)][string]$DegreeOfParallelism = 1
)

function Unzip($USQLPackfile, $UnzipOutput)
{
   $USQLPackfileZip = Rename-Item -Path $USQLPackfile -NewName $([System.IO.Path]::ChangeExtension($USQLPackfile, ".zip")) -Force -PassThru
   Expand-Archive -Path $USQLPackfileZip -DestinationPath $UnzipOutput -Force
   Rename-Item -Path $USQLPackfileZip -NewName $([System.IO.Path]::ChangeExtension($USQLPackfileZip, ".usqlpack")) -Force
}

## Get U-SQL scripts in U-SQL project build output(.usqlpack file)
Function GetUsqlFiles()
{

   $USQLPackfiles = Get-ChildItem -Path $ArtifactsRoot -Include *.usqlpack -File -Recurse -ErrorAction SilentlyContinue

   $UnzipOutput = Join-Path $ArtifactsRoot -ChildPath "UnzipUSQLScripts"

   foreach ($USQLPackfile in $USQLPackfiles)
   {
      Unzip $USQLPackfile $UnzipOutput
   }

   $USQLFiles = Get-ChildItem -Path $UnzipOutput -Include *.usql -File -Recurse -ErrorAction SilentlyContinue

   return $USQLFiles
}

## Submit U-SQL scripts to ADLA account one-by-one
Function SubmitAnalyticsJob()
{
   $usqlFiles = GetUsqlFiles

   Write-Output "$($usqlFiles.Count) jobs to be submitted..."

   # Submit each usql script and wait for completion before moving ahead.
   foreach ($usqlFile in $usqlFiles)
   {
      $scriptName = "[Release].[$([System.IO.Path]::GetFileNameWithoutExtension($usqlFile.fullname))]"

      Write-Output "Submitting job for '{$usqlFile}'"

      $jobToSubmit = Submit-AzDataLakeAnalyticsJob -Account $ADLAAccountName -Name $scriptName -ScriptPath $usqlFile -DegreeOfParallelism $DegreeOfParallelism

      LogJobInformation $jobToSubmit

      Write-Output "Waiting for job to complete. Job ID:'{$($jobToSubmit.JobId)}', Name: '$($jobToSubmit.Name)' "
      $jobResult = Wait-AzDataLakeAnalyticsJob -Account $ADLAAccountName -JobId $jobToSubmit.JobId  
      LogJobInformation $jobResult
   }
}

Function LogJobInformation($jobInfo)
{
   Write-Output "************************************************************************"
   Write-Output ([string]::Format("Job Id: {0}", $(DefaultIfNull $jobInfo.JobId)))
   Write-Output ([string]::Format("Job Name: {0}", $(DefaultIfNull $jobInfo.Name)))
   Write-Output ([string]::Format("Job State: {0}", $(DefaultIfNull $jobInfo.State)))
   Write-Output ([string]::Format("Job Started at: {0}", $(DefaultIfNull  $jobInfo.StartTime)))
   Write-Output ([string]::Format("Job Ended at: {0}", $(DefaultIfNull  $jobInfo.EndTime)))
   Write-Output ([string]::Format("Job Result: {0}", $(DefaultIfNull $jobInfo.Result)))
   Write-Output "************************************************************************"
}

Function DefaultIfNull($item)
{
   if ($item -ne $null)
   {
      return $item
   }
   return ""
}

Function Main()
{
   Write-Output ([string]::Format("ADLA account: {0}", $ADLAAccountName))
   Write-Output ([string]::Format("Root folde for usqlpack: {0}", $ArtifactsRoot))
   Write-Output ([string]::Format("AU count: {0}", $DegreeOfParallelism))

   Write-Output "Starting USQL script deployment..."

   SubmitAnalyticsJob

   Write-Output "Finished deployment..."
}

Main

Note

The commands: Submit-AzDataLakeAnalyticsJob and Wait-AzDataLakeAnalyticsJob are both Azure PowerShell cmdlets for Azure Data Lake Analytics in the Azure Resource Manager framework. You'll neeed a workstation with Azure PowerShell installed. You can refer to the command list for more commands and examples.

Deploy U-SQL jobs through Azure Data Factory

You can submit U-SQL jobs directly from Azure Pipelines. Or you can upload the built scripts to Azure Data Lake Store or Azure Blob storage and run the scheduled jobs through Azure Data Factory.

Use the Azure PowerShell task in Azure Pipelines with the following sample PowerShell script to upload the U-SQL scripts to an Azure Data Lake Store account:

<#
   This script can be used to upload U-SQL files to ADLS with given U-SQL project build output(.usqlpack file).
   This will unzip the U-SQL project build output, and upload all scripts to ADLS one-by-one.

   Example :
      FileUpload.ps1 -ADLSName "myadlsaccount" -ArtifactsRoot "C:\USQLProject\bin\debug\"
#>

param(
   [Parameter(Mandatory=$true)][string]$ADLSName, # ADLS account name to upload U-SQL scripts
   [Parameter(Mandatory=$true)][string]$ArtifactsRoot, # Root folder of U-SQL project build output
   [Parameter(Mandatory=$false)][string]$DestinationFolder = "USQLScriptSource" # Destination folder in ADLS
)

Function UploadResources()
{
   Write-Host "************************************************************************"
   Write-Host "Uploading files to $ADLSName"
   Write-Host "***********************************************************************"

   $usqlScripts = GetUsqlFiles

   $files = @(get-childitem $usqlScripts -recurse)
   foreach($file in $files)
   {
      Write-Host "Uploading file: $($file.Name)"
      Import-AzDataLakeStoreItem -AccountName $ADLSName -Path $file.FullName -Destination "/$(Join-Path $DestinationFolder $file)" -Force
   }
}

function Unzip($USQLPackfile, $UnzipOutput)
{
   $USQLPackfileZip = Rename-Item -Path $USQLPackfile -NewName $([System.IO.Path]::ChangeExtension($USQLPackfile, ".zip")) -Force -PassThru
   Expand-Archive -Path $USQLPackfileZip -DestinationPath $UnzipOutput -Force
   Rename-Item -Path $USQLPackfileZip -NewName $([System.IO.Path]::ChangeExtension($USQLPackfileZip, ".usqlpack")) -Force
}

Function GetUsqlFiles()
{

   $USQLPackfiles = Get-ChildItem -Path $ArtifactsRoot -Include *.usqlpack -File -Recurse -ErrorAction SilentlyContinue

   $UnzipOutput = Join-Path $ArtifactsRoot -ChildPath "UnzipUSQLScripts"

   foreach ($USQLPackfile in $USQLPackfiles)
   {
      Unzip $USQLPackfile $UnzipOutput
   }

   return Get-ChildItem -Path $UnzipOutput -Include *.usql -File -Recurse -ErrorAction SilentlyContinue
}

UploadResources

CI/CD for a U-SQL database

Azure Data Lake Tools for Visual Studio provides U-SQL database project templates that help you develop, manage, and deploy U-SQL databases. Learn more about a U-SQL database project.

Build U-SQL database project

Get the NuGet package

MSBuild doesn't provide built-in support for U-SQL database projects. To get this ability, you need to add a reference for your solution to the Microsoft.Azure.DataLake.USQL.SDK NuGet package that adds the required language service.

To add the NuGet package reference, right-click the solution in Visual Studio Solution Explorer. Choose Manage NuGet Packages. Then search for and install the NuGet package. Or you can add a file called packages.config in the solution folder and put the following contents into it:

<?xml version="1.0" encoding="utf-8"?>
<packages>
  <package id="Microsoft.Azure.DataLake.USQL.SDK" version="1.3.180615" targetFramework="net452" />
</packages>

Build U-SQL a database project with the MSBuild command line

To build your U-SQL database project, call the standard MSBuild command line and pass the U-SQL SDK NuGet package reference as another argument. See the following example:

msbuild DatabaseProject.usqldbproj /p:USQLSDKPath=packages\Microsoft.Azure.DataLake.USQL.SDK.1.3.180615\build\runtime

The argument USQLSDKPath=<U-SQL Nuget package>\build\runtime refers to the install path of the NuGet package for the U-SQL language service.

Continuous integration with Azure Pipelines

In addition to the command line, you can use Visual Studio Build or an MSBuild task to build U-SQL database projects in Azure Pipelines. To set up a build task, make sure to add two tasks in the build pipeline: a NuGet restore task and an MSBuild task.

CI/CD MSBuild task for a U-SQL project

  1. Add a NuGet restore task to get the solution-referenced NuGet package, which includes Azure.DataLake.USQL.SDK, so that MSBuild can find the U-SQL language targets. Set Advanced > Destination directory to $(Build.SourcesDirectory)/packages if you want to use the MSBuild arguments sample directly in step 2.

    CI/CD NuGet task for a U-SQL project

  2. Set MSBuild arguments in Visual Studio build tools or in an MSBuild task as shown in the following example. Or you can define variables for these arguments in the Azure Pipelines build pipeline.

    Define CI/CD MSBuild variables for a U-SQL database project

    /p:USQLSDKPath=$(Build.SourcesDirectory)/packages/Microsoft.Azure.DataLake.USQL.SDK.1.3.180615/build/runtime

U-SQL database project build output

The build output for a U-SQL database project is a U-SQL database deployment package, named with the suffix .usqldbpack. The .usqldbpack package is a zip file that includes all DDL statements in a single U-SQL script in a DDL folder. It includes all .dlls and other files for assembly in a temp folder.

Test table-valued functions and stored procedures

Adding test cases for table-valued functions and stored procedures directly isn't currently supported. As a workaround, you can create a U-SQL project that has U-SQL scripts that call those functions and write test cases for them. Take the following steps to set up test cases for table-valued functions and stored procedures defined in the U-SQL database project:

  1. Create a U-SQL project for test purposes and write U-SQL scripts calling the table-valued functions and stored procedures.

  2. Add a database reference to the U-SQL project. To get the table-valued function and stored procedure definition, you need to reference the database project that contains the DDL statement. Learn more about database references.

  3. Add test cases for U-SQL scripts that call table-valued functions and stored procedures. Learn how to add test cases for U-SQL scripts.

Deploy U-SQL database through Azure Pipelines

PackageDeploymentTool.exe provides the programming and command-line interfaces that help deploy U-SQL database deployment packages, .usqldbpack. The SDK is included in the U-SQL SDK NuGet package, located at build/runtime/PackageDeploymentTool.exe. By using PackageDeploymentTool.exe, you can deploy U-SQL databases to both Azure Data Lake Analytics and local accounts.

Note

PowerShell command-line support and Azure Pipelines release task support for U-SQL database deployment is currently pending.

Take the following steps to set up a database deployment task in Azure Pipelines:

  1. Add a PowerShell Script task in a build or release pipeline and execute the following PowerShell script. This task helps to get Azure SDK dependencies for PackageDeploymentTool.exe and PackageDeploymentTool.exe. You can set the -AzureSDK and -DBDeploymentTool parameters to load the dependencies and deployment tool to specific folders. Pass the -AzureSDK path to PackageDeploymentTool.exe as the -AzureSDKPath parameter in step 2.

    <#
   This script is used for getting dependencies and SDKs for U-SQL database deployment.
   PowerShell command line support for deploying U-SQL database package(.usqldbpack file) will come soon.

   Example :
       GetUSQLDBDeploymentSDK.ps1 -AzureSDK "AzureSDKFolderPath" -DBDeploymentTool "DBDeploymentToolFolderPath"
#>

param (
   [string]$AzureSDK = "AzureSDK", # Folder to cache Azure SDK dependencies
   [string]$DBDeploymentTool = "DBDeploymentTool", # Folder to cache U-SQL database deployment tool
   [string]$workingfolder = "" # Folder to execute these command lines
)

if ([string]::IsNullOrEmpty($workingfolder))
{
   $scriptpath = $MyInvocation.MyCommand.Path
   $workingfolder = Split-Path $scriptpath
}
cd $workingfolder

echo "workingfolder=$workingfolder, outputfolder=$outputfolder"
echo "Downloading required packages..."

iwr https://www.nuget.org/api/v2/package/Microsoft.Azure.Management.DataLake.Analytics/3.5.1-preview -outf Microsoft.Azure.Management.DataLake.Analytics.3.5.1-preview.zip
iwr https://www.nuget.org/api/v2/package/Microsoft.Azure.Management.DataLake.Store/2.4.1-preview -outf Microsoft.Azure.Management.DataLake.Store.2.4.1-preview.zip
iwr https://www.nuget.org/api/v2/package/Microsoft.IdentityModel.Clients.ActiveDirectory/2.28.3 -outf Microsoft.IdentityModel.Clients.ActiveDirectory.2.28.3.zip
iwr https://www.nuget.org/api/v2/package/Microsoft.Rest.ClientRuntime/2.3.11 -outf Microsoft.Rest.ClientRuntime.2.3.11.zip
iwr https://www.nuget.org/api/v2/package/Microsoft.Rest.ClientRuntime.Azure/3.3.7 -outf Microsoft.Rest.ClientRuntime.Azure.3.3.7.zip
iwr https://www.nuget.org/api/v2/package/Microsoft.Rest.ClientRuntime.Azure.Authentication/2.3.3 -outf Microsoft.Rest.ClientRuntime.Azure.Authentication.2.3.3.zip
iwr https://www.nuget.org/api/v2/package/Newtonsoft.Json/6.0.8 -outf Newtonsoft.Json.6.0.8.zip
iwr https://www.nuget.org/api/v2/package/Microsoft.Azure.DataLake.USQL.SDK/ -outf USQLSDK.zip

echo "Extracting packages..."

Expand-Archive Microsoft.Azure.Management.DataLake.Analytics.3.5.1-preview.zip -DestinationPath Microsoft.Azure.Management.DataLake.Analytics.3.5.1-preview -Force
Expand-Archive Microsoft.Azure.Management.DataLake.Store.2.4.1-preview.zip -DestinationPath Microsoft.Azure.Management.DataLake.Store.2.4.1-preview -Force
Expand-Archive Microsoft.IdentityModel.Clients.ActiveDirectory.2.28.3.zip -DestinationPath Microsoft.IdentityModel.Clients.ActiveDirectory.2.28.3 -Force
Expand-Archive Microsoft.Rest.ClientRuntime.2.3.11.zip -DestinationPath Microsoft.Rest.ClientRuntime.2.3.11 -Force
Expand-Archive Microsoft.Rest.ClientRuntime.Azure.3.3.7.zip -DestinationPath Microsoft.Rest.ClientRuntime.Azure.3.3.7 -Force
Expand-Archive Microsoft.Rest.ClientRuntime.Azure.Authentication.2.3.3.zip -DestinationPath Microsoft.Rest.ClientRuntime.Azure.Authentication.2.3.3 -Force
Expand-Archive Newtonsoft.Json.6.0.8.zip -DestinationPath Newtonsoft.Json.6.0.8 -Force
Expand-Archive USQLSDK.zip -DestinationPath USQLSDK -Force

echo "Copy required DLLs to output folder..."

mkdir $AzureSDK -Force
mkdir $DBDeploymentTool -Force
copy Microsoft.Azure.Management.DataLake.Analytics.3.5.1-preview\lib\net452\*.dll $AzureSDK
copy Microsoft.Azure.Management.DataLake.Store.2.4.1-preview\lib\net452\*.dll $AzureSDK
copy Microsoft.IdentityModel.Clients.ActiveDirectory.2.28.3\lib\net45\*.dll $AzureSDK
copy Microsoft.Rest.ClientRuntime.2.3.11\lib\net452\*.dll $AzureSDK
copy Microsoft.Rest.ClientRuntime.Azure.3.3.7\lib\net452\*.dll $AzureSDK
copy Microsoft.Rest.ClientRuntime.Azure.Authentication.2.3.3\lib\net452\*.dll $AzureSDK
copy Newtonsoft.Json.6.0.8\lib\net45\*.dll $AzureSDK
copy USQLSDK\build\runtime\*.* $DBDeploymentTool

  2. Add a Command-Line task in a build or release pipeline and fill in the script by calling PackageDeploymentTool.exe. PackageDeploymentTool.exe is located under the defined $DBDeploymentTool folder. The sample script is as follows:

    • Deploy a U-SQL database locally:

      PackageDeploymentTool.exe deploylocal -Package <package path> -Database <database name> -DataRoot <data root path>

    • Use interactive authentication mode to deploy a U-SQL database to an Azure Data Lake Analytics account:

      PackageDeploymentTool.exe deploycluster -Package <package path> -Database <database name> -Account <account name> -ResourceGroup <resource group name> -SubscriptionId <subscript id> -Tenant <tenant name> -AzureSDKPath <azure sdk path> -Interactive

    • Use secrete authentication to deploy a U-SQL database to an Azure Data Lake Analytics account:

      PackageDeploymentTool.exe deploycluster -Package <package path> -Database <database name> -Account <account name> -ResourceGroup <resource group name> -SubscriptionId <subscript id> -Tenant <tenant name> -ClientId <client id> -Secrete <secrete>

    • Use certFile authentication to deploy a U-SQL database to an Azure Data Lake Analytics account:

      PackageDeploymentTool.exe deploycluster -Package <package path> -Database <database name> -Account <account name> -ResourceGroup <resource group name> -SubscriptionId <subscript id> -Tenant <tenant name> -ClientId <client id> -Secrete <secrete> -CertFile <certFile>

PackageDeploymentTool.exe parameter descriptions

Common parameters

Parameter Description Default Value Required
Package The path of the U-SQL database deployment package to be deployed. null true
Database The database name to be deployed to or created. master false
LogFile The path of the file for logging. Default to standard out (console). null false
LogLevel Log level: Verbose, Normal, Warning, or Error. LogLevel.Normal false

Parameter for local deployment

Parameter Description Default Value Required
DataRoot The path of the local data root folder. null true

Parameters for Azure Data Lake Analytics deployment

Parameter Description Default Value Required
Account Specifies which Azure Data Lake Analytics account to deploy to by account name. null true
ResourceGroup The Azure resource group name for the Azure Data Lake Analytics account. null true
SubscriptionId The Azure subscription ID for the Azure Data Lake Analytics account. null true
Tenant The tenant name is the Microsoft Entra domain name. Find it in the subscription management page in the Azure portal. null true
AzureSDKPath The path to search dependent assemblies in the Azure SDK. null true
Interactive Whether or not to use interactive mode for authentication. false false
ClientId The Microsoft Entra application ID required for non-interactive authentication. null Required for non-interactive authentication.
Secret The secret or password for non-interactive authentication. It should be used only in a trusted and secure environment. null Required for non-interactive authentication, or else use SecreteFile.
SecretFile The file saves the secret or password for non-interactive authentication. Make sure to keep it readable only by the current user. null Required for non-interactive authentication, or else use Secret.
CertFile The file saves X.509 certification for non-interactive authentication. The default is to use client secret authentication. null false
JobPrefix The prefix for database deployment of a U-SQL DDL job. Deploy_ + DateTime.Now false

Next steps