Connect to PostgreSQL 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 PostgreSQL, HULFT Integrate can work with live PostgreSQL data. This article explains how to connect to PostgreSQL and move the data into a CSV file.

With built-in optimized data processing, the CData JDBC driver offers unmatched performance for interacting with live PostgreSQL data. When you issue complex SQL queries to PostgreSQL, the driver pushes supported SQL operations, like filters and aggregations, directly to PostgreSQL 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 PostgreSQL data using native data types.

Enable Access to PostgreSQL

To enable access to PostgreSQL data from HULFT Integrate projects:

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

Once you copy the JAR files, you can create a project with access to PostgreSQL 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 👁 Creating a new project.
   
4. Name the script (e.g.: PostgreSQLtoCSV)

Once you create the project, add components to the script to copy PostgreSQL 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 PostgreSQL. Set the following properties:
   • Name: PostgreSQL Connection Settings
   • Driver class name: cdata.jdbc.postgresql.PostgreSQLDriver
   • URL: jdbc:postgresql:User=postgres;Password=admin;Database=postgres;Server=127.0.0.1;Port=5432;
     
     👁 JDBC connection settings (Salesforce is shown).
     

     Built-in Connection String Designer

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

     		java -jar cdata.jdbc.postgresql.jar
     		

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

     To connect to PostgreSQL, set the Server, Port (the default port is 5432), and Database connection properties and set the User and Password you wish to use to authenticate to the server. If the Database property is not specified, the data provider connects to the user's default database.

     SSH Connectivity for PostgreSQL

     You can use SSH (Secure Shell) to authenticate with PostgreSQL, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).

     SSH Connections to PostgreSQL in Password Auth Mode

     To connect to PostgreSQL via SSH in Password Auth mode, set the following connection properties:

     • User: PostgreSQL User name
     • Password: PostgreSQL Password
     • Database: PostgreSQL database name
     • Server: PostgreSQL Server name
     • Port: PostgreSQL port number like 3306
     • UserSSH: "true"
     • SSHAuthMode: "Password"
     • SSHPort: SSH Port number
     • SSHServer: SSH Server name
     • SSHUser: SSH User name
     • SSHPassword: SSH Password

     SSH Connections to PostgreSQL in Public Key Auth Mode

     To connect to PostgreSQL via SSH in Password Auth mode, set the following connection properties:

     • User: PostgreSQL User name
     • Password: PostgreSQL Password
     • Database: PostgreSQL database name
     • Server: PostgreSQL Server name
     • Port: PostgreSQL port number like 3306
     • UserSSH: "true"
     • SSHAuthMode: "Public_Key"
     • SSHPort: SSH Port number
     • SSHServer: SSH Server name
     • SSHUser: SSH User name
     • SSHClientCret: the path for the public key certificate file
     👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
     
2. Write your SQL statement. For example:

   SELECT ShipName, ShipCity 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" 👁 Configuring the Execute Select SQL operation
   

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 PostgreSQL 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 PostgreSQL data into a CSV file.

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