![]() |
VOOZH | about |
The CData ODBC Driver for Snowflake enables out-of-the-box integration with Microsoft's built-in support for ODBC. The ODBC driver instantly integrates connectivity to the real Snowflake data with PowerShell.
You can use the .NET Framework Provider for ODBC built into PowerShell to quickly automate integration tasks like replicating Snowflake data to other databases. This article shows how to replicate Snowflake data to SQL Server in 5 lines of code.
You can also write PowerShell code to execute create, read, update, and delete (CRUD) operations. See the examples below.
CData simplifies access and integration of live Snowflake data. Our customers leverage CData connectivity to:
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.
If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
To connect to Snowflake:
See the Getting Started guide in the CData driver documentation for more information.
The code below shows how to use the DSN to initialize the connection to Snowflake data in PowerShell:
$conn = New-Object System.Data.Odbc.OdbcConnection $conn.ConnectionString = "DSN=CData Snowflake Source x64"
After you enable caching, you can use the code below to replicate data to SQL Server.
Set the following connection properties to configure the caching database:
CacheProvider: The name of the ADO.NET provider. This can be found in the Machine.config for your version of .NET. For example, to configure SQL Server, enter System.Data.SqlClient.
CacheConnection: The connection string of properties required to connect to the database. Below is an example for SQL Server:
Server=localhost;Database=RSB;User Id=sqltest;Password=sqltest;
The SQL query in the example can be used to refresh the entire cached table, including its schema. Any already existing cache is deleted.
$conn.Open() # Create and execute the SQL Query $SQL = "CACHE DROP EXISTING SELECT * FROM " + $Products $cmd = New-Object System.Data.Odbc.OdbcCommand($sql,$conn) $count = $cmd.ExecuteNonQuery() $conn.Close()
The driver gives you complete control over the caching functionality. See the help documentation for more caching commands and usage examples. See the help documentation for steps to replicate to other databases.
To retrieve Snowflake data in PowerShell, call the Fill method of the OdbcDataAdapter method. To execute data manipulation commands, initialize the OdbcCommand object and then call ExecuteNonQuery. Below are some more examples CRUD commands to Snowflake through the .NET Framework Provider for ODBC:
$sql="SELECT Id, ProductName from Products"
$da= New-Object System.Data.Odbc.OdbcDataAdapter($sql, $conn)
$dt= New-Object System.Data.DataTable
$da.Fill($dt)
$dt.Rows | foreach {
$dt.Columns | foreach ($col in dt{
Write-Host $1[$_]
}
}
$cmd = New-Object System.Data.Odbc.OdbcCommand("UPDATE Products SET Id='1' WHERE Id = @myId", $conn)
$cmd.Parameters.Add(new System.Data.Odbc.OdbcParameter("myId","001d000000YBRseAAH")
$cmd.ExecuteNonQuery()
$cmd = New-Object System.Data.Odbc.OdbcCommand("INSERT INTO Products SET Id='1' WHERE Id = @myId", $conn)
$cmd.Parameters.Add(new System.Data.Odbc.OdbcParameter("myId","001d000000YBRseAAH")
$cmd.ExecuteNonQuery()
$cmd = New-Object System.Data.Odbc.OdbcCommand("DELETE FROM Products WHERE Id = @myid", $conn)
$cmd.Parameters.Add(new System.Data.Odbc.OdbcParameter("myId","001d000000YBRseAAH")
$cmd.ExecuteNonQuery()
Download a free trial of the Snowflake ODBC Driver to get started:
Download NowLearn more:
👁 Snowflake Enterprise Data Warehouse IconThe Snowflake ODBC Driver is a powerful tool that allows you to connect with live Snowflake data warehouse, directly from any applications that support ODBC connectivity.
Access Snowflake like you would a database - read, write, and update through a standard ODBC Driver interface.