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Connect to Reckon 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 Reckon, HULFT Integrate can work with live Reckon data. This article walks through connecting to Reckon 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 Reckon data. When you issue complex SQL queries to Reckon, the driver pushes supported SQL operations, like filters and aggregations, directly to Reckon 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 Reckon data using native data types.
Enable Access to Reckon
To enable access to Reckon data from HULFT Integrate projects:
- Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.reckon.jar (and cdata.jdbc.reckon.lic), to the jdbc_adapter subfolder for the Integrate Server
- Restart the HULFT Integrate Server and launch HULFT Integrate Studio
Build a Project with Access to Reckon Data
Once you copy the JAR files, you can create a project with access to Reckon data. Start by opening Integrate Studio and creating a new project.
- Name the project
- Ensure the "Create script" checkbox is checked
- Click Next
- Name the script (e.g.: ReckontoCSV)
Once you create the project, add components to the script to copy Reckon 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.
- In the "Required settings" tab for the Destination, click "Add" to create a new connection for Reckon. Set the following properties:
- Name: Reckon Connection Settings
- Driver class name: cdata.jdbc.reckon.ReckonDriver
- URL: jdbc:reckon:User=RCUser;Password=RCUserPassword;URL=http://remotehost:8166;
Built-in Connection String Designer
For assistance constructing the JDBC URL, use the connection string designer built into the Reckon JDBC Driver. Either double-click the JAR file or execute the JAR file from the command-line.
java -jar cdata.jdbc.reckon.jar
Fill in the connection properties and copy the connection string to the clipboard.
When you are connecting to a local Reckon instance, you do not need to set any connection properties.
Requests to Reckon are made through the Remote Connector. The Remote Connector runs on the same machine as Reckon and accepts connections through a lightweight, embedded Web server. The server supports SSL/TLS, enabling users to connect securely from remote machines.
The first time you connect to your company file, you will need to authorize the Remote Connector with Reckon. See the "Getting Started" chapter of the help documentation for a guide.
- Write your SQL statement. For example:
SELECT Name, CustomerBalance FROM Customers
- Click "Extraction test" to ensure the connection and query are configured properly
- Click "Execute SQL statement and set output schema"
- Click "Finish"
Configure a Write CSV File Component
Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.
- Set a file to write the query results to (e.g. Customers.csv)
- Set "Input data" to the "Select SQL" component
- Add columns for each field selected in the SQL query
- In the "Write settings" tab, check the checkbox to "Insert column names into first row"
- Click "Finish"
Map Reckon 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 Reckon data into a CSV file.
Download a free, 30-day trial of the CData JDBC Driver for Reckon and start working with your live Reckon data in HULFT Integrate. Reach out to our Support Team if you have any questions.