Ready to get started?

Download a free trial of the Oracle HCM Cloud Cmdlets to get started:

 Download Now

Learn more:

Oracle HCM Cloud Icon Oracle HCM Cloud Data Cmdlets

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

PowerShell Scripting to Replicate Oracle HCM Cloud Data to MySQL



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

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

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

Using Basic Authentication

You must set the following to authenticate to Oracle HCM Cloud:

  • Url: The Url of your account.
  • User: The user of your account.
  • Password: The password of your account.

Collecting Oracle HCM Cloud Data

  1. Install the module:

    Install-Module OracleHCMCmdlets
  2. Connect to Oracle HCM Cloud:

    $oraclehcm = Connect-OracleHCM -Url $Url -User $User -Password $Password
  3. Retrieve the data from a specific resource:

    $data = Select-OracleHCM -Connection $oraclehcm -Table "RecruitingCESites"

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

    $data = Invoke-OracleHCM -Connection $oraclehcm -Query 'SELECT * FROM RecruitingCESites WHERE Language = @Language' -Params @{'@Language'='English'}
  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 HCM Cloud 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 HCM Cloud 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 HCM Cloud resource (RecruitingCESites) and to exist in the database.

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

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

    Select-OracleHCM -Connection $oraclehcm -Table "RecruitingCESites" | % { $row = $_ $values = @() $columns | % { $col = $_ $values += $row.$($col) } Add-MySQL -Connection $mysql -Table "RecruitingCESites" -Columns $columns -Values $values }
  • If you wish to replicate the Oracle HCM Cloud 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-OracleHCM 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')}