Connect to Neo4J 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 Neo4J, HULFT Integrate can work with live Neo4J data. This article walks through connecting to Neo4J 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 Neo4J data. When you issue complex SQL queries to Neo4J, the driver pushes supported SQL operations, like filters and aggregations, directly to Neo4J 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 Neo4J data using native data types.

Enable Access to Neo4J

To enable access to Neo4J data from HULFT Integrate projects:

1. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.neo4j.jar (and cdata.jdbc.neo4j.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 Neo4J Data

Once you copy the JAR files, you can create a project with access to Neo4J 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.: Neo4jtoCSV)

Once you create the project, add components to the script to copy Neo4J 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 Neo4J. Set the following properties:
   • Name: Neo4J Connection Settings
   • Driver class name: cdata.jdbc.neo4j.Neo4jDriver
   • URL: jdbc:neo4j:Server=localhost;Port=7474;User=my_user;Password=my_password;
     
     

     Built-in Connection String Designer

     For assistance constructing the JDBC URL, use the connection string designer built into the Neo4J JDBC Driver. Either double-click the JAR file or execute the JAR file from the command-line.

     java -jar cdata.jdbc.neo4j.jar

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

     To connect to Neo4j, set the following connection properties:

     • Server: The server hosting the Neo4j instance.
     • Port: The port on which the Neo4j service is running. The provider connects to port 7474 by default.
     • User: The username of the user using the Neo4j instance.
     • Password: The password of the user using the Neo4j instance.
2. Write your SQL statement. For example:

   SELECT CategoryId, CategoryName FROM ProductCategory

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. ProductCategory.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 Neo4J 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 Neo4J data into a CSV file.

Download a free, 30-day trial of the CData JDBC Driver for Neo4J and start working with your live Neo4J data in HULFT Integrate. Reach out to our Support Team if you have any questions.