Integrate HDFS with External Services using SnapLogic

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HDFS JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with HDFS.



Use the CData JDBC Driver for HDFS in SnapLogic to integrate HDFS with External Services.

SnapLogic is an integration platform-as-a-service (iPaaS) that allows users to create data integration flows with no code. When paired with the CData JDBC Drivers, users get access to live data from more than 250+ SaaS, Big Data and NoSQL sources, including HDFS, in their SnapLogic workflows.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live HDFS data. When platforms 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 lets you work with HDFS data using native data types.

Connect to HDFS in SnapLogic

To connect to HDFS data in SnapLogic, download and install the CData HDFS JDBC Driver. Follow the installation dialog. When the installation is complete, the JAR file can be found in the installation directory (C:/Program Files/CData/CData JDBC Driver for HDFS/lib by default).

Upload the HDFS JDBC Driver

After installation, upload the JDBC JAR file to a location in SnapLogic (for example, projects/Jerod Johnson) from the Manager tab.

Configure the Connection

Once the JDBC Driver is uploaded, we can create the connection to HDFS.

  1. Navigate to the Designer tab
  2. Expand "JDBC" from Snaps and drag a "Generic JDBC - Select" snap onto the designer
  3. Click Add Account (or select an existing one) and click "Continue"
  4. In the next form, configure the JDBC connection properties:
    • Under JDBC JARs, add the JAR file we previously uploaded
    • Set JDBC Driver Class to cdata.jdbc.hdfs.HDFSDriver
    • Set JDBC URL to a JDBC connection string for the HDFS JDBC Driver, for example: jdbc:hdfs:Host=sandbox-hdp.hortonworks.com;Port=50070;Path=/user/root;User=root;RTK=XXXXXX;

      NOTE: RTK is a trial or full key. Contact our Support team for more information.

      Built-In Connection String Designer

      For assistance in 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
  5. After entering the connection properties, click "Validate" and "Apply"

Read HDFS Data

In the form that opens after validating and applying the connection, configure your query.

  • Set Schema name to "HDFS"
  • Set Table name to a table for HDFS using the schema name, for example: "HDFS"."Files" (use the drop-down to see the full list of available tables)
  • Add Output fields for each item you wish to work with from the table

Save the Generic JDBC - Select snap.

With connection and query configured, click the end of the snap to preview the data (highlighted below).

Once you confirm the results are what you expect, you can add additional snaps to funnel your HDFS data to another endpoint.

Piping HDFS Data to External Services

For this article, we will load data in a Google Spreadsheet. You can use any of the supported snaps, or even use a Generic JDBC snap with another CData JDBC Driver, to move data into an external service.

  1. Start by dropping a "Worksheet Writer" snap onto the end of the "Generic JDBC - Select" snap.
  2. Add an account to connect to Google Sheets
  3. Configure the Worksheet Writer snap to write your HDFS data to a Google Spreadsheet

You can now execute the fully configured pipeline to extract data from HDFS and push it into a Google Spreadsheet.

More Information & Free Trial

Using the CData JDBC Driver for HDFS you can create a pipeline in SnapLogic for integrating HDFS data with external services. For more information about connecting to HDFS, check at our HDFS connectivity page. Download a free, 30 day trial of the CData JDBC Driver for HDFS and get started today.