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Get the Report →Replicate Oracle Sales Data from PowerShell
Write a quick PowerShell script to query Oracle Sales data. Use connectivity to the live data to replicate Oracle Sales data to SQL Server.
The CData ODBC Driver for Oracle Sales enables out-of-the-box integration with Microsoft's built-in support for ODBC. The ODBC driver instantly integrates connectivity to the real Oracle Sales data with PowerShell.
You can use the .NET Framework Provider for ODBC built into PowerShell to quickly automate integration tasks like replicating Oracle Sales data to other databases. This article shows how to replicate Oracle Sales 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.
Create an ODBC Data Source for Oracle Sales
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.
Oracle Sales uses Basic authentication over SSL; after setting the following connection properties, you are ready to connect:
- Username: Set this to the user name that you use to log into your Oracle Cloud service.
- Password: Set this to your password.
- HostURL: Set this to the Web address (URL) of your Oracle Cloud service.
Connect to Oracle Sales
The code below shows how to use the DSN to initialize the connection to Oracle Sales data in PowerShell:
$conn = New-Object System.Data.Odbc.OdbcConnection
$conn.ConnectionString = "DSN=CData OracleSalesCloud Source x64"
Back Up Oracle Sales Data to SQL Server
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 " + $Opportunities
$cmd = New-Object System.Data.Odbc.OdbcCommand($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.
Other Operations
To retrieve Oracle Sales 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 Oracle Sales through the .NET Framework Provider for ODBC:
Retrieve Oracle Sales Data
$sql="SELECT OptyId, Name from Opportunities"
$da= New-Object System.Data.Odbc.OdbcDataAdapter($sql, $conn)
$dt= New-Object System.Data.DataTable
$da.Fill($dt)
$dt.Rows | foreach {
$dt.Columns | foreach ($col in dt{
Write-Host $1[$_]
}
}
Update Oracle Sales Data
$cmd = New-Object System.Data.Odbc.OdbcCommand("UPDATE Opportunities SET CreatedBy='Jack' WHERE Id = @myId", $conn)
$cmd.Parameters.Add(new System.Data.Odbc.OdbcParameter("myId","001d000000YBRseAAH")
$cmd.ExecuteNonQuery()
Insert Oracle Sales Data
$cmd = New-Object System.Data.Odbc.OdbcCommand("INSERT INTO Opportunities SET CreatedBy='Jack' WHERE Id = @myId", $conn)
$cmd.Parameters.Add(new System.Data.Odbc.OdbcParameter("myId","001d000000YBRseAAH")
$cmd.ExecuteNonQuery()
Delete Oracle Sales Data
$cmd = New-Object System.Data.Odbc.OdbcCommand("DELETE FROM Opportunities WHERE Id = @myid", $conn)
$cmd.Parameters.Add(new System.Data.Odbc.OdbcParameter("myId","001d000000YBRseAAH")
$cmd.ExecuteNonQuery()