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The CData Cmdlets for Cvent offer live access to Cvent 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 Cvent and the CData Cmdlets for MySQL in PowerShell to replicate Cvent data to a MySQL database.
After obtaining the needed connection properties, accessing Cvent data in PowerShell and preparing for replication consists of four basic steps.
Before you can authenticate to Cvent, you must create a workspace and an OAuth application.
To create a workspace:
| event/attendees:read | event/attendees:write | event/contacts:read |
| event/contacts:write | event/custom-fields:read | event/custom-fields:write |
| event/events:read | event/events:write | event/sessions:delete |
| event/sessions:read | event/sessions:write | event/speakers:delete |
| event/speakers:read | event/speakers:write | budget/budget-items:read |
| budget/budget-items:write | exhibitor/exhibitors:read | exhibitor/exhibitors:write |
| survey/surveys:read | survey/surveys:write |
After you have set up a Workspace and invited them, developers can sign up and create a custom OAuth app. See the Creating a Custom OAuth Application section in the Help documentation for more information.
After creating an OAuth application, set the following connection properties to connect to Cvent:
Install the module:
Install-Module CventCmdlets
Connect to Cvent:
$cvent = Connect-Cvent -OAuthClientId $OAuthClientId -OAuthClientSecret $OAuthClientSecret -InitiateOAuth $InitiateOAuth
Retrieve the data from a specific resource:
$data = Select-Cvent -Connection $cvent -Table "Events"
You can also use the Invoke-Cvent cmdlet to execute pure SQL-92 statements:
$data = Invoke-Cvent -Connection $cvent -Query 'SELECT * FROM Events WHERE Virtual = @Virtual' -Params @{'@Virtual'='true'}
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 Cvent 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 Cvent resource (Events) and to exist in the database.
$data | % {
$row = $_
$values = @()
$columns | % {
$col = $_
$values += $row.$($col)
}
Add-MySQL -Connection $mysql -Table "Events" -Columns $columns -Values $values
}
You have now replicated your Cvent data to a MySQL database. This gives you freedom to work with Cvent 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 Cvent and MySQL in PowerShell, you can pipe command results to perform the replication in a single line:
Select-Cvent -Connection $cvent -Table "Events" | % {
$row = $_
$values = @()
$columns | % {
$col = $_
$values += $row.$($col)
}
Add-MySQL -Connection $mysql -Table "Events" -Columns $columns -Values $values
}
If you wish to replicate the Cvent 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-Cvent 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 Cvent Cmdlets to get started:
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👁 Cvent IconAn easy-to-use set of PowerShell Cmdlets offering real-time access to Cvent. The Cmdlets allow users to easily read, write, update, and delete live data - just like working with SQL server.