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Connect to FedEx Data in HULFT Integrate

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

Enable Access to FedEx

To enable access to FedEx data from HULFT Integrate projects:

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

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

Once you create the project, add components to the script to copy FedEx 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 FedEx. Set the following properties:
    • Name: FedEx Connection Settings
    • Driver class name: cdata.jdbc.fedex.FedExDriver
    • URL: jdbc:fedex:Server='https://gatewaybeta.fedex.com:443/xml';DeveloperKey='alsdkfjpqoewiru';Password='zxczxqqtyiuowkdlkn';AccountNumber='110371337';MeterNumber='240134349'; PrintLabelLocation='C:\users\username\documents\mylabels';CacheProvider='org.sqlite.JDBC';CacheConnection='jdbc:sqlite:C:\users\username\documents\fedexcache.db';

      Built-in Connection String Designer

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

      java -jar cdata.jdbc.fedex.jar

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

      There are five pieces of information needed in order to authenticate its actions with the FedEx service. This information is below.

      • Server: This controls the URL where the requests should be sent. Common testing options for this are: "https://gatewaybeta.fedex.com:443/xml", "https://wsbeta.fedex.com:443/xml", "https://gatewaybeta.fedex.com:443/web-service", and "https://wsbeta.fedex.com:443/web-service"
      • DeveloperKey: This is the identifier part of the authentication key for the sender's identity. This value will be provided to you by FedEx after registration.
      • Password: This is the secret part of the authentication key for the sender's identity. This value will be provided to you by FedEx after registration.
      • AccountNumber: This valid 9-digit FedEx account number is used for logging into the FedEx server.
      • MeterNumber: This value is used for submitting requests to FedEx. This value will be provided to you by FedEx after registration.
      • PrintLabelLocation: This property is required if one intends to use the GenerateLabels or GenerateReturnLabels stored procedures. This should be set to the folder location where generated labels should be stored.

      The Cache Database

      Many of the useful tasks available from FedEx require a lot of data. To ensure this data is easy to input and recall later, utilizes a cache database to make these requests. You must set the cache connection properties:

      • CacheProvider: The specific database you are using to cache with. For example, org.sqlite.JDBC.
      • CacheConnection: The connection string to be passed to the cache provider. For example, jdbc:sqlite:C:\users\username\documents\fedexcache.db
  2. Write your SQL statement. For example:
    SELECT FirstName, Phone FROM Senders
  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. Senders.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 FedEx 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 FedEx data into a CSV file.

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