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The CData JDBC Driver for Presto connects Presto data to Mule applications enabling read , write, update, and delete functionality with familiar SQL queries. The JDBC Driver allows users to easily create Mule applications to backup, transform, report, and analyze Presto data.
This article demonstrates how to use the CData JDBC Driver for Presto inside of a Mule project to create a Web interface for Presto data. The application created allows you to request Presto data using an HTTP request and have the results returned as JSON. The exact same procedure outlined below can be used with any CData JDBC Driver to create a Web interface for the hundreds of available data sources.
Accessing and integrating live data from Trino and Presto SQL engines has never been easier with CData. Customers rely on CData connectivity to:
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.
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.
In order to authenticate with LDAP, set the following connection properties:
In order to authenticate with KERBEROS, set the following connection properties:
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.
SELECT FirstName, LastName FROM Customer WHERE Id = '123456789'๐ Configure the Select object (Salesforce is Shown)
%dw 2.0 output application/json --- payload๐ Add the Transform Message Component to the Flow
At this point, you have a simple Web interface for working with Presto data (as JSON data) in custom apps and a wide variety of BI, reporting, and ETL tools. Download a free, 30 day trial of the JDBC Driver for Presto and see the CData difference in your Mule Applications today.
Download a free trial of the Presto Driver to get started:
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