How to pipe Snowflake Data to CSV in PowerShell

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

Getting Started

---

Creating a Connection to Your Snowflake Data

To connect to Snowflake:

1. Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
2. Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
3. Set Warehouse to the Snowflake warehouse.
4. (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
5. (Optional) Set Database and Schema to restrict the tables and views exposed.
6. (Optional) If MFA is enabled on your Snowflake account (via Duo Security), set MFACode to the passcode generated by your Duo authenticator app.

See the Getting Started guide in the CData driver documentation for more information.

$conn = Connect-Snowflake -Authscheme "$Authscheme" -URL "$URL" -User "$User" -Password "$Password" -Server "$Server" -Database "$Database" -Warehouse "$Warehouse" -Account "$Account" -MFACode "$MFACode"

Selecting Data

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

Select-Snowflake -Connection $conn -Table Products | Select -Property * -ExcludeProperty Connection,Table,Columns | Export-Csv -Path c:\myProductsData.csv -NoTypeInformation

You will notice that we piped the results from Select-Snowflake 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-Snowflake -Connection $conn -Table Products -Where "Id = 1" | Remove-Snowflake

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 Snowflake, checking first whether a record already exists and needs to be updated instead of inserted.

Import-Csv -Path C:\MyProductsUpdates.csv | %{
 $record = Select-Snowflake -Connection $Snowflake -Table Products -Where ("Id = `'"+$_.Id+"`'")
 if($record){
 Update-Snowflake -Connection $snowflake -Table Products -Columns ("Id","ProductName") -Values ($_.Id, $_.ProductName) -Where ("Id = `'"+$_.Id+"`'")
 }else{
 Add-Snowflake -Connection $snowflake -Table Products -Columns ("Id","ProductName") -Values ($_.Id, $_.ProductName)
 }
}

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!