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Create Informatica Mappings From/To a JDBC Data Source for Sage 300

Create Sage 300 data objects in Informatica using the standard JDBC connection process: Copy the JAR and then connect.

Informatica provides a powerful, elegant means of transporting and transforming your data. By utilizing the CData JDBC Driver for Sage 300, you are gaining access to a driver based on industry-proven standards that integrates seamlessly with Informatica's powerful data transportation and manipulation features. This tutorial shows how to transfer and browse Sage 300 data in Informatica PowerCenter.

Deploy the Driver

To deploy the driver to the Informatica PowerCenter server, copy the CData JAR and .lic file, located in the lib subfolder in the installation directory, to the following folder: Informatica-installation-directory\services\shared\jars\thirdparty.

To work with Sage 300 data in the Developer tool, you will need to copy the CData JAR and .lic file, located in the lib subfolder in the installation directory, into the following folders:

  • Informatica-installation-directory\client\externaljdbcjars
  • Informatica-installation-directory\externaljdbcjars

Create the JDBC Connection

Follow the steps below to connect from Informatica Developer:

  1. In the Connection Explorer pane, right-click your domain and click Create a Connection.
  2. In the New Database Connection wizard that is displayed, enter a name and Id for the connection and in the Type menu select JDBC.
  3. In the JDBC Driver Class Name property, enter: cdata.jdbc.sage300.Sage300Driver
  4. In the Connection String property, enter the JDBC URL, using the connection properties for Sage 300.

    Sage 300 requires some initial setup in order to communicate over the Sage 300 Web API.

    • Set up the security groups for the Sage 300 user. Give the Sage 300 user access to the option under Security Groups (per each module required).
    • Edit both web.config files in the /Online/Web and /Online/WebApi folders; change the key AllowWebApiAccessForAdmin to true. Restart the webAPI app-pool for the settings to take.
    • Once the user access is configured, click https://server/Sage300WebApi/ to ensure access to the web API.

    Authenticate to Sage 300 using Basic authentication.

    Connect Using Basic Authentication

    You must provide values for the following properties to successfully authenticate to Sage 300. Note that the provider reuses the session opened by Sage 300 using cookies. This means that your credentials are used only on the first request to open the session. After that, cookies returned from Sage 300 are used for authentication.

    • Url: Set this to the url of the server hosting Sage 300. Construct a URL for the Sage 300 Web API as follows: {protocol}://{host-application-path}/v{version}/{tenant}/ For example, http://localhost/Sage300WebApi/v1.0/-/.
    • User: Set this to the username of your account.
    • Password: Set this to the password of your account.

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the Sage 300 JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.sage300.jar

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

    A typical connection string is below:

    jdbc:sage300:User=SAMPLE;Password=password;URL=http://127.0.0.1/Sage300WebApi/v1/-/;Company=SAMINC;

Browse Sage 300 Tables

After you have added the driver JAR to the classpath and created a JDBC connection, you can now access Sage 300 entities in Informatica. Follow the steps below to connect to Sage 300 and browse Sage 300 tables:

  1. Connect to your repository.
  2. In the Connection Explorer, right-click the connection and click Connect.
  3. Clear the Show Default Schema Only option.

You can now browse Sage 300 tables in the Data Viewer: Right-click the node for the table and then click Open. On the Data Viewer view, click Run.

Create Sage 300 Data Objects

Follow the steps below to add Sage 300 tables to your project:

  1. Select tables in Sage 300, then right-click a table in Sage 300, and click Add to Project.
  2. In the resulting dialog, select the option to create a data object for each resource.
  3. In the Select Location dialog, select your project.

    Create a Mapping

    Follow the steps below to add the Sage 300 source to a mapping:

    1. In the Object Explorer, right-click your project and then click New -> Mapping.
    2. Expand the node for the Sage 300 connection and then drag the data object for the table onto the editor.
    3. In the dialog that appears, select the Read option.

    Follow the steps below to map Sage 300 columns to a flat file:

    1. In the Object Explorer, right-click your project and then click New -> Data Object.
    2. Select Flat File Data Object -> Create as Empty -> Fixed Width.
    3. In the properties for the Sage 300 object, select the rows you want, right-click, and then click copy. Paste the rows into the flat file properties.
    4. Drag the flat file data object onto the mapping. In the dialog that appears, select the Write option.
    5. Click and drag to connect columns.

    To transfer Sage 300 data, right-click in the workspace and then click Run Mapping.