Connect to SQL Server Data in HULFT Integrate

HULFT Integrate is a modern data integration platform that provides a drag-and-drop user interface to create cooperation flows, data conversion, and processing so that complex data connections are easier than ever to execute. When paired with the CData JDBC Driver for SQL Server, HULFT Integrate can work with live SQL Server data. This article walks through connecting to SQL Server and moving the data into a CSV file.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live SQL Server data. When you issue complex SQL queries to SQL Server, the driver pushes supported SQL operations, like filters and aggregations, directly to SQL Server and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze SQL Server data using native data types.

Enable Access to SQL Server

To enable access to SQL Server data from HULFT Integrate projects:

1. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.sql.jar (and cdata.jdbc.sql.lic), to the jdbc_adapter subfolder for the Integrate Server
2. Restart the HULFT Integrate Server and launch HULFT Integrate Studio

Build a Project with Access to SQL Server Data

Once you copy the JAR files, you can create a project with access to SQL Server data. Start by opening Integrate Studio and creating a new project.

1. Name the project
2. Ensure the "Create script" checkbox is checked
3. Click Next
4. Name the script (e.g.: SQLtoCSV)

Once you create the project, add components to the script to copy SQL Server data to a CSV file.

Configure an Execute Select SQL Component

Drag an "Execute Select SQL" component from the Tool Palette (Database -> JDBC) into the Script workspace.

1. In the "Required settings" tab for the Destination, click "Add" to create a new connection for SQL Server. Set the following properties:
   • Name: SQL Server Connection Settings
   • Driver class name: cdata.jdbc.sql.SQLDriver
   • URL: jdbc:sql:User=myUser;Password=myPassword;Database=NorthWind;Server=myServer;Port=1433;
     
     

     Built-in Connection String Designer

     For assistance constructing the JDBC URL, use the connection string designer built into the SQL Server JDBC Driver. Either double-click the JAR file or execute the JAR file from the command-line.

     java -jar cdata.jdbc.sql.jar

     Fill in the connection properties and copy the connection string to the clipboard.

     Connecting to Microsoft SQL Server

     Connect to Microsoft SQL Server using the following properties:

     • Server: The name of the server running SQL Server.
     • User: The username provided for authentication with SQL Server.
     • Password: The password associated with the authenticating user.
     • Database: The name of the SQL Server database.

     Connecting to Azure SQL Server and Azure Data Warehouse

     You can authenticate to Azure SQL Server or Azure Data Warehouse by setting the following connection properties:

     • Server: The server running Azure. You can find this by logging into the Azure portal and navigating to "SQL databases" (or "SQL data warehouses") -> "Select your database" -> "Overview" -> "Server name."
     • User: The name of the user authenticating to Azure.
     • Password: The password associated with the authenticating user.
     • Database: The name of the database, as seen in the Azure portal on the SQL databases (or SQL warehouses) page.
2. Write your SQL statement. For example:

   SELECT ShipName, Freight FROM Orders

3. Click "Extraction test" to ensure the connection and query are configured properly
4. Click "Execute SQL statement and set output schema"
5. Click "Finish"

Configure a Write CSV File Component

Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.

1. Set a file to write the query results to (e.g. Orders.csv)
2. Set "Input data" to the "Select SQL" component
3. Add columns for each field selected in the SQL query
4. In the "Write settings" tab, check the checkbox to "Insert column names into first row"
5. Click "Finish"

Map SQL Server Fields to the CSV Columns

Map each column from the "Select" component to the corresponding column for the "CSV" component.

Finish the Script

Drag the "Start" component onto the "Select" component and the "CSV" component onto the "End" component. Build the script and run the script to move SQL Server data into a CSV file.

Download a free, 30-day trial of the CData JDBC Driver for SQL Server and start working with your live SQL Server data in HULFT Integrate. Reach out to our Support Team if you have any questions.