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Connect to SAP Data in HULFT Integrate

Connect to SAP as a JDBC data source 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 SAP, HULFT Integrate can work with live SAP data. This article walks through connecting to SAP 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 SAP data. When you issue complex SQL queries to SAP, the driver pushes supported SQL operations, like filters and aggregations, directly to SAP 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 SAP data using native data types.

Enable Access to SAP

To enable access to SAP data from HULFT Integrate projects:

  1. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.saperp.jar (and cdata.jdbc.saperp.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 SAP Data

Once you copy the JAR files, you can create a project with access to SAP 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.: SAPERPtoCSV)

Once you create the project, add components to the script to copy SAP 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 SAP. Set the following properties:
    • Name: SAP Connection Settings
    • Driver class name: cdata.jdbc.saperp.SAPERPDriver
    • URL: jdbc:saperp:Host=sap.mydomain.com;User=EXT90033;Password=xxx;Client=800;System Number=09;ConnectionType=Classic;Location=C:\\mysapschemafolder;

      Built-in Connection String Designer

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

      java -jar cdata.jdbc.saperp.jar

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

      The driver supports connecting to an SAP system using the JCo JAR file. See the "Getting Started" chapter in the help documentation for information on using the Jco JAR file.

      In addition, you can connect to an SAP system using Web services (SOAP). To use Web services, you must enable SOAP access to your SAP system and set the Client, RFCUrl, User, and Password properties, under the Authentication section.

      For more information, see this guide on obtaining the connection properties needed to connect to any SAP system.

  2. Write your SQL statement. For example:
    SELECT MANDT, MBRSH FROM MARA
  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. MARA.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 SAP 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 SAP data into a CSV file.

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