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Use standard PowerShell cmdlets to access Snowflake tables.
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.
About Snowflake Data Integration
CData simplifies access and integration of live Snowflake data. Our customers leverage CData connectivity to:
- Reads and write Snowflake data quickly and efficiently.
- Dynamically obtain metadata for the specified Warehouse, Database, and Schema.
- Authenticate in a variety of ways, including OAuth, OKTA, Azure AD, Azure Managed Service Identity, PingFederate, private key, and more.
Many CData users use CData solutions to access Snowflake from their preferred tools and applications, and replicate data from their disparate systems into Snowflake for comprehensive warehousing and analytics.
For more information on integrating Snowflake with CData solutions, refer to our blog: https://www.cdata.com/blog/snowflake-integrations.
Getting Started
Creating a Connection to Your Snowflake Data
To connect to Snowflake:
- Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
- Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
- Set Warehouse to the Snowflake warehouse.
- (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
- (Optional) Set Database and Schema to restrict the tables and views exposed.
See the Getting Started guide in the CData driver documentation for more information.
$conn = Connect-Snowflake -User "$User" -Password "$Password" -Server "$Server" -Database "$Database" -Warehouse "$Warehouse" -Account "$Account"
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!