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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 Presto, HULFT Integrate can work with live Presto data. This article explains how to connect to Presto and move the data into a CSV file.
With built-in optimized data processing, the CData JDBC driver offers unmatched performance for interacting with live Presto data. When you issue complex SQL queries to Presto, the driver pushes supported SQL operations, like filters and aggregations, directly to Presto 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 Presto data using native data types.
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.
To enable access to Presto data from HULFT Integrate projects:
Once you copy the JAR files, you can create a project with access to Presto data. Start by opening Integrate Studio and creating a new project.
Once you create the project, add components to the script to copy Presto data to a CSV file.
Drag an "Execute Select SQL" component from the Tool Palette (Database -> JDBC) into the Script workspace.
For assistance 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.
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:
SELECT FirstName, LastName FROM Customer
Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.
Map each column from the "Select" component to the corresponding column for the "CSV" component.
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 Presto data into a CSV file.
๐ A completed script.Download a free, 30-day trial of the CData JDBC Driver for Presto and start working with your live Presto data in HULFT Integrate. Reach out to our Support Team if you have any questions.
Download a free trial of the Presto Driver to get started:
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