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Amazon Redshift Icon Amazon Redshift Cmdlets

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

Pipe Redshift Data to CSV in PowerShell



Use standard PowerShell cmdlets to access Redshift tables.

The CData Cmdlets Module for Redshift is a standard PowerShell module offering straightforward integration with Redshift. Below, you will find examples of using our Redshift Cmdlets with native PowerShell cmdlets.

Creating a Connection to Your Redshift Data

To connect to Redshift, set the following:

  • Server: Set this to the host name or IP address of the cluster hosting the Database you want to connect to.
  • Port: Set this to the port of the cluster.
  • Database: Set this to the name of the database. Or, leave this blank to use the default database of the authenticated user.
  • User: Set this to the username you want to use to authenticate to the Server.
  • Password: Set this to the password you want to use to authenticate to the Server.

You can obtain the Server and Port values in the AWS Management Console:

  1. Open the Amazon Redshift console (http://console.aws.amazon.com/redshift).
  2. On the Clusters page, click the name of the cluster.
  3. On the Configuration tab for the cluster, copy the cluster URL from the connection strings displayed.

$conn = Connect-Redshift  -User "$User" -Password "$Password" -Database "$Database" -Server "$Server" -Port "$Port"

Selecting Data

Follow the steps below to retrieve data from the Orders table and pipe the result into to a CSV file:

Select-Redshift -Connection $conn -Table Orders | Select -Property * -ExcludeProperty Connection,Table,Columns | Export-Csv -Path c:\myOrdersData.csv -NoTypeInformation

You will notice that we piped the results from Select-Redshift into a Select-Object cmdlet and excluded some properties before piping them into an Export-Csv cmdlet. We do this because the CData Cmdlets append Connection, Table, and Columns information onto each "row" in the result set, and we do not necessarily want that information in our CSV file.

The Connection, Table, and Columns are appended to the results in order to facilitate piping results from one of the CData Cmdlets directly into another one.

Deleting Data

The following line deletes any records that match the criteria:

Select-Redshift -Connection $conn -Table Orders -Where "ShipCountry = USA" | Remove-Redshift

Inserting and Updating Data

The cmdlets make data transformation easy as well as data cleansing. The following example loads data from a CSV file into Redshift, checking first whether a record already exists and needs to be updated instead of inserted.

Import-Csv -Path C:\MyOrdersUpdates.csv | %{
  $record = Select-Redshift -Connection $Redshift -Table Orders -Where ("Id = `'"+$_.Id+"`'")
  if($record){
    Update-Redshift -Connection $redshift -Table Orders -Columns ("ShipName","ShipCity") -Values ($_.ShipName, $_.ShipCity) -Where ("Id = `'"+$_.Id+"`'")
  }else{
    Add-Redshift -Connection $redshift -Table Orders -Columns ("ShipName","ShipCity") -Values ($_.ShipName, $_.ShipCity)
  }
}

As always, our goal is to simplify the way you connect to data. With cmdlets users can install a data module, set the connection properties, and start building. Download Cmdlets and start working with your data in PowerShell today!