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Connect to HDFS 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 HDFS, HULFT Integrate can work with live HDFS data. This article walks through connecting to HDFS 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 HDFS data. When you issue complex SQL queries to HDFS, the driver pushes supported SQL operations, like filters and aggregations, directly to HDFS 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 HDFS data using native data types.
Enable Access to HDFS
To enable access to HDFS data from HULFT Integrate projects:
- Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.hdfs.jar (and cdata.jdbc.hdfs.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 HDFS Data
Once you copy the JAR files, you can create a project with access to HDFS 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.: HDFStoCSV)
Once you create the project, add components to the script to copy HDFS 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 HDFS. Set the following properties:
- Name: HDFS Connection Settings
- Driver class name: cdata.jdbc.hdfs.HDFSDriver
- URL: jdbc:hdfs:Host=sandbox-hdp.hortonworks.com;Port=50070;Path=/user/root;User=root;
Built-in Connection String Designer
For assistance constructing the JDBC URL, use the connection string designer built into the HDFS JDBC Driver. Either double-click the JAR file or execute the JAR file from the command-line.
java -jar cdata.jdbc.hdfs.jar
Fill in the connection properties and copy the connection string to the clipboard.
In order to authenticate, set the following connection properties:
- Host: Set this value to the host of your HDFS installation.
- Port: Set this value to the port of your HDFS installation. Default port: 50070
- Write your SQL statement. For example:
SELECT FileId, ChildrenNum FROM Files
- 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. Files.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 HDFS 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 HDFS data into a CSV file.
Download a free, 30-day trial of the CData JDBC Driver for HDFS and start working with your live HDFS data in HULFT Integrate. Reach out to our Support Team if you have any questions.