![]() ![]() The Data Source will be the data source name that you have used in ODBC connection creation step before.ĭata Source (in Linked Server) = Data Source Name (in ODBC DSN entry) Type the Product Name as " REDSHIFT" (fixed for Amazon Redshift connections over ODBC providers) The " Server type" will be "Other data source" and it is crucial to select " Microsoft OLE DB Provider for ODBC Drivers" in Provider combobox. When " New Linked Server" "General" screen is displayed, in " Linked Server" textbox enter a descriptive name to your linked server datasource. Right click on " Linked Servers" node and on context menu, choose option " New Linked Server." On Object Explorer window, drill down to "Server Objects > Linked Servers" node as follows. On SQL Server Management Studio (SSMS) connect to target SQL Server instance. Since my regular user has limited access to resources on my laptop, I use my local admin account for installing and configuration of programs and such requirements.įor example, in this tutorial sample I failed to create Linked Server successfully with regular Windows user but managed to create Linked Server successfully with a local administrator account. I always prefer to launch SQL Server Management Studio (SSMS) with Run as Adminstrator option. ![]() In this step, SQL Server database administrators and database developers can see how they can easily define and create Linked Server to Amazon Redshift databases for a connection Redshift cluster nodes. If you see "Successfully connected to the data source!" success message, then we can launch SQL Server Management Studio and define Linked Server to Amazon Redshift database as shown in following step.Ĭreate SQL Server Linked Server to Connect to Amazon Redshift Database ![]() In authentication area, since I use databases username and password for connection, I typed the user name and password of the database user.Īfter all configuration in DSN setup for the Amazon Redshift ODBC Driver is completed, press Test button. In "Database" textbox, enter the name of the target database that you want to connect to in the cluster. Port is by default 5439 for Amazon Redshift connection. If the Amazon Redshift endpoint is public available and if you don't have a firewall policy preventing you to the Redshift database, you can use the public IP or DNS name in server textbox too. Then type the private IP address of your Amazon Redshift cluster in "Server" input area. Switch to System DSN tab and press on add button to create a new ODBC data source.įrom the available lists of drivers, choose Amazon Redshift driver for database connection to Redshift cluster lead node.ĭefine a name for your Amazon Redshift ODBC data source in "Data Source Name" textbox. Launch ODBC Data Source Management application with Run as Administrator option. When the setup is completed, you can define the ODBC connection to Amazon Redshift Cluster as in following stepĬreate ODBC Data Source for Amazon Redshift Database The setup wizard will lead you through the installation. msi setup file for the Redshift database ODBC driver exists, and run the setup by executing the AmazonRedshiftODBC64-1.msi file. You can launch Command Prompt with Run as Administrator option and navigate to the folder where the. msi installation file download is completed, execute the setup with an administrator account. Later when the Amazon Redshift ODBC driver. I download 64-bit ODBC driver for Amazon Redshift database. Open a web browser and navigate to the AWS official documentation for ODBC driver downloads. In this tutorial, I will show how Amazon Redshift ODBC drivers can be used to connect Redshift database from SQL Server instances using Linked Servers. In a previous AWS tutorial I have shown download JDBC driver for Amazon Redshift and connect from SQL Workbench tool. ![]() To connect to Amazon Redshift database, developers can use ODBC drivers as well as JDBC drivers. Download and Install ODBC Drivers for Amazon Redshift ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |