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URL: https://www.cdata.com/kb/tech/presto-jdbc-pentaho-data-integration.rst

⇱ Integrate Presto Data in Pentaho Data Integration

Integrate Presto Data in Pentaho Data Integration

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Build ETL pipelines based on Presto data in the Pentaho Data Integration tool.

The CData JDBC Driver for Presto enables access to live data from data pipelines. Pentaho Data Integration is an Extraction, Transformation, and Loading (ETL) engine that data, cleanses the data, and stores data using a uniform format that is accessible.This article shows how to connect to Presto data as a JDBC data source and build jobs and transformations based on Presto data in Pentaho Data Integration.

About Presto Data Integration

Accessing and integrating live data from Trino and Presto SQL engines has never been easier with CData. Customers rely on CData connectivity to:

  • Access data from Trino v345 and above (formerly PrestoSQL) and Presto v0.242 and above (formerly PrestoDB)
  • Read and write access all of the data underlying your Trino or Presto instances
  • Optimized query generation for maximum throughput.

Presto and Trino allow users to access a variety of underlying data sources through a single endpoint. When paired with CData connectivity, users get pure, SQL-92 access to their instances, allowing them to integrate business data with a data warehouse or easily access live data directly from their preferred tools, like Power BI and Tableau.

In many cases, CData's live connectivity surpasses the native import functionality available in tools. One customer was unable to effectively use Power BI due to the size of the datasets needed for reporting. When the company implemented the CData Power BI Connector for Presto they were able to generate reports in real-time using the DirectQuery connection mode.


Getting Started


Configure to Presto Connectivity

Set the Server and Port connection properties to connect, in addition to any authentication properties that may be required.

To enable TLS/SSL, set UseSSL to true.

Authenticating with LDAP

In order to authenticate with LDAP, set the following connection properties:

  • AuthScheme: Set this to LDAP.
  • User: The username being authenticated with in LDAP.
  • Password: The password associated with the User you are authenticating against LDAP with.

Authenticating with Kerberos

In order to authenticate with KERBEROS, set the following connection properties:

  • AuthScheme: Set this to KERBEROS.
  • KerberosKDC: The Kerberos Key Distribution Center (KDC) service used to authenticate the user.
  • KerberosRealm: The Kerberos Realm used to authenticate the user with.
  • KerberosSPN: The Service Principal Name for the Kerberos Domain Controller.
  • KerberosKeytabFile: The Keytab file containing your pairs of Kerberos principals and encrypted keys.
  • User: The user who is authenticating to Kerberos.
  • Password: The password used to authenticate to Kerberos.

Built-in Connection String Designer

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

java -jar cdata.jdbc.presto.jar

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

👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)

When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Below is a typical JDBC URL:

jdbc:presto:Server=127.0.0.1;Port=8080;

Save your connection string for use in Pentaho Data Integration.

Connect to Presto from Pentaho DI

Open Pentaho Data Integration and select "Database Connection" to configure a connection to the CData JDBC Driver for Presto

  1. Click "General"
  2. Set Connection name (e.g. Presto Connection)
  3. Set Connection type to "Generic database"
  4. Set Access to "Native (JDBC)"
  5. Set Custom connection URL to your Presto connection string (e.g.
    jdbc:presto:Server=127.0.0.1;Port=8080;
  6. Set Custom driver class name to "cdata.jdbc.presto.PrestoDriver" 👁 Configuring the JDBC Driver connection.
  7. Test the connection and click "OK" to save. 👁 Saving the connection.

Create a Data Pipeline for Presto

Once the connection to Presto is configured using the CData JDBC Driver, you are ready to create a new transformation or job.

  1. Click "File" >> "New" >> "Transformation/job"
  2. Drag a "Table input" object into the workflow panel and select your Presto connection. 👁 Configuring the Table input object
  3. Click "Get SQL select statement" and use the Database Explorer to view the available tables and views. 👁 Selecting data (QuickBooks Online is shown).
  4. Select a table and optionally preview the data for verification. 👁 Previewing the data (QuickBooks Online is shown).

At this point, you can continue your transformation or jb by selecting a suitable destination and adding any transformations to modify, filter, or otherwise alter the data during replication.

👁 A completed transformation/job.

Free Trial & More Information

Download a free, 30-day trial of the CData JDBC Driver for Presto and start working with your live Presto data in Pentaho Data Integration today.