![]() |
VOOZH | about |
The CData Cmdlets for SAP Ariba Source offer live access to SAP Ariba Source 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 SAP Ariba Source and the CData Cmdlets for MySQL in PowerShell to replicate SAP Ariba Source data to a MySQL database.
After obtaining the needed connection properties, accessing SAP Ariba Source data in PowerShell and preparing for replication consists of four basic steps.
In order to connect with SAP Ariba Source, set the following:
If you are connecting to the Supplier Data API or the Contract API, additionally set the following:
If you're connecting to the Supplier API, set ProjectId to the Id of the sourcing project you want to retrieve data from.
After setting connection properties, you need to configure OAuth connectivity to authenticate.
For more information on creating an OAuth application, refer to the Help documentation.
After setting the following, you are ready to connect:
When you connect, the provider automatically completes the OAuth process:
Install the module:
Install-Module SAPAribaSourceCmdlets
Connect to SAP Ariba Source:
$saparibasource = Connect-SAPAribaSource -API $API -APIKey $APIKey -Environment $Environment -Realm $Realm -AuthScheme $AuthScheme -InitiateOAuth $InitiateOAuth
Retrieve the data from a specific resource:
$data = Select-SAPAribaSource -Connection $saparibasource -Table "Vendors"
You can also use the Invoke-SAPAribaSource cmdlet to execute pure SQL-92 statements:
$data = Invoke-SAPAribaSource -Connection $saparibasource -Query 'SELECT * FROM Vendors WHERE Region = @Region' -Params @{'@Region'='USA'}
Save a list of the column names from the returned data.
$columns = ($data | Get-Member -MemberType NoteProperty | Select-Object -Property Name).Name
With the data and column names collected, you are ready to replicate the data into a MySQL database.
Install the module:
Install-Module MySQLCmdlets
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
Loop through the SAP Ariba Source 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 SAP Ariba Source resource (Vendors) and to exist in the database.
$data | % {
$row = $_
$values = @()
$columns | % {
$col = $_
$values += $row.$($col)
}
Add-MySQL -Connection $mysql -Table "Vendors" -Columns $columns -Values $values
}
You have now replicated your SAP Ariba Source data to a MySQL database. This gives you freedom to work with SAP Ariba Source data in the same way that you work with other MySQL tables, whether that is performing analytics, building reports, or other business functions.
Once you have connected to SAP Ariba Source and MySQL in PowerShell, you can pipe command results to perform the replication in a single line:
Select-SAPAribaSource -Connection $saparibasource -Table "Vendors" | % {
$row = $_
$values = @()
$columns | % {
$col = $_
$values += $row.$($col)
}
Add-MySQL -Connection $mysql -Table "Vendors" -Columns $columns -Values $values
}
If you wish to replicate the SAP Ariba Source 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-SAPAribaSource 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')}
Download a free trial of the SAP Ariba Source Cmdlets to get started:
Download NowLearn more:
👁 SAP Ariba Source IconAn easy-to-use set of PowerShell Cmdlets offering real-time access to SAP Ariba Source. The Cmdlets allow users to easily read, write, update, and delete live data - just like working with SQL server.