PowerShell Scripting to Replicate Azure Analysis Services Data to MySQL

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Azure Analysis Services Data Cmdlets

An easy-to-use set of PowerShell Cmdlets offering real-time access to Azure Analysis Services. The Cmdlets allow users to easily read, write, update, and delete live data - just like working with SQL server.



Write a simple PowerShell script to replicate Azure Analysis Services data to a MySQL database.

The CData Cmdlets for Azure Analysis Services offer live access to Azure Analysis Services data from within PowerShell. Using PowerShell scripts, you can easily automate regular tasks like data replication. This article will walk through using the CData Cmdlets for Azure Analysis Services and the CData Cmdlets for MySQL in PowerShell to replicate Azure Analysis Services data to a MySQL database.

After obtaining the needed connection properties, accessing Azure Analysis Services data in PowerShell and preparing for replication consists of four basic steps.

To connect to Azure Analysis Services, set the Url property to a valid server, for instance, asazure://southcentralus.asazure.windows.net/server, in addition to authenticating. Optionally, set Database to distinguish which Azure database on the server to connect to.

Azure Analysis Services uses the OAuth authentication standard. OAuth requires the authenticating user to interact with Azure Analysis Services using the browser. You can connect without setting any connection properties for your user credentials. See the Help documentation for more information.

Collecting Azure Analysis Services Data

  1. Install the module:

    Install-Module AASCmdlets
  2. Connect to Azure Analysis Services:

    $aas = Connect-AAS -URL $URL
  3. Retrieve the data from a specific resource:

    $data = Select-AAS -Connection $aas -Table "Customer"

    You can also use the Invoke-AAS cmdlet to execute pure SQL-92 statements:

    $data = Invoke-AAS -Connection $aas -Query 'SELECT * FROM Customer WHERE Country = @Country' -Params @{'@Country'='Australia'}
  4. Save a list of the column names from the returned data.

    $columns = ($data | Get-Member -MemberType NoteProperty | Select-Object -Property Name).Name

Inserting Azure Analysis Services Data into the MySQL Database

With the data and column names collected, you are ready to replicate the data into a MySQL database.

  1. Install the module:

    Install-Module MySQLCmdlets
  2. Connect to MySQL, using the server address and port of the MySQL server, valid user credentials, and a specific database with the table in which the data will be replicated:

    $mysql = Connect-MySQL -User $User -Password $Password -Database $Database -Server $Server -Port $Port
  3. Loop through the Azure Analysis Services data, store the values, and use the Add-MySQL cmdlet to insert the data into the MySQL database, one row at a time. In this example, the table will need to have the same name as the Azure Analysis Services resource (Customer) and to exist in the database.

    $data | % { $row = $_ $values = @() $columns | % { $col = $_ $values += $row.$($col) } Add-MySQL -Connection $mysql -Table "Customer" -Columns $columns -Values $values }

You have now replicated your Azure Analysis Services data to a MySQL database. This gives you freedom to work with Azure Analysis Services data in the same way that you work with other MySQL tables, whether that is performing analytics, building reports, or other business functions.

Notes

  • Once you have connected to Azure Analysis Services and MySQL in PowerShell, you can pipe command results to perform the replication in a single line:

    Select-AAS -Connection $aas -Table "Customer" | % { $row = $_ $values = @() $columns | % { $col = $_ $values += $row.$($col) } Add-MySQL -Connection $mysql -Table "Customer" -Columns $columns -Values $values }
  • If you wish to replicate the Azure Analysis Services data to another database using another PowerShell module, you will want to exclude the Columns, Connection, and Table columns from the data returned by the Select-AAS cmdlet since those columns are used to help pipe data from one CData cmdlet to another:

    $columns = ($data | Get-Member -MemberType NoteProperty | Select-Object -Property Name).Name | ? {$_ -NotIn @('Columns','Connection','Table')}