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

PowerShell Scripting to Replicate Oracle Eloqua Data to MySQL



Write a simple PowerShell script to replicate Oracle Eloqua data to a MySQL database.

The CData Cmdlets for Oracle Eloqua offer live access to Oracle Eloqua 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 Oracle Eloqua and the CData Cmdlets for MySQL in PowerShell to replicate Oracle Eloqua data to a MySQL database.

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

There are two authentication methods available for connecting to Oracle Eloqua: Login and OAuth. The Login method requires you to have the Company, User, and Password of the user.

If you do not have access to the username and password or do not wish to require them, you can use OAuth authentication. OAuth is better suited for allowing other users to access their own data. Using login credentials is better suited for accessing your own data.

Collecting Oracle Eloqua Data

  1. Install the module:

    Install-Module OracleEloquaCmdlets
  2. Connect to Oracle Eloqua:

    $oracleeloqua = Connect-OracleEloqua -User $User -Password $Password -Company $Company
  3. Retrieve the data from a specific resource:

    $data = Select-OracleEloqua -Connection $oracleeloqua -Table "Campaign"

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

    $data = Invoke-OracleEloqua -Connection $oracleeloqua -Query 'SELECT * FROM Campaign WHERE ShipCity = @ShipCity' -Params @{'@ShipCity'='New York'}
  4. Save a list of the column names from the returned data.

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

Inserting Oracle Eloqua 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 Oracle Eloqua 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 Oracle Eloqua resource (Campaign) and to exist in the database.

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

You have now replicated your Oracle Eloqua data to a MySQL database. This gives you freedom to work with Oracle Eloqua 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 Oracle Eloqua and MySQL in PowerShell, you can pipe command results to perform the replication in a single line:

    Select-OracleEloqua -Connection $oracleeloqua -Table "Campaign" | % { $row = $_ $values = @() $columns | % { $col = $_ $values += $row.$($col) } Add-MySQL -Connection $mysql -Table "Campaign" -Columns $columns -Values $values }
  • If you wish to replicate the Oracle Eloqua 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-OracleEloqua 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')}