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Get the Report →Connect to Presto Data in CloverDX (formerly CloverETL)
Transfer Presto data using the visual workflow in the CloverDX data integration tool.
The CData JDBC Driver for Presto enables you to use the data transformation components in CloverDX (formerly CloverETL) to work with Presto as sources and destinations. In this article, you will use the JDBC Driver for Presto to set up a simple transfer into a flat file. The CData JDBC Driver for Presto enables you to use the data transformation components in CloverDX (formerly CloverETL) to work with Presto as sources and destinations. In this article, you will use the JDBC Driver for Presto to set up a simple transfer into a flat file.
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
Connect to Presto as a JDBC Data Source
- Create the connection to Presto data. In a new CloverDX graph, right-click the Connections node in the Outline pane and click Connections -> Create Connection. The Database Connection wizard is displayed.
- Click the plus icon to load a driver from a JAR. Browse to the lib subfolder of the installation directory and select the cdata.jdbc.presto.jar file.
- Enter the JDBC URL.
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.
A typical JDBC URL is below:
jdbc:presto:Server=127.0.0.1;Port=8080;
Query Presto Data with the DBInputTable Component
- Drag a DBInputTable from the Readers selection of the Palette onto the job flow and double-click it to open the configuration editor.
- In the DB connection property, select the Presto JDBC data source from the drop-down menu.
- Enter the SQL query. For example:
SELECT FirstName, LastName FROM Customer WHERE Id = '123456789'
Write the Output of the Query to a UniversalDataWriter
- Drag a UniversalDataWriter from the Writers selection onto the jobflow.
- Double-click the UniversalDataWriter to open the configuration editor and add a file URL.
- Right-click the DBInputTable and then click Extract Metadata.
- Connect the output port of the DBInputTable to the UniversalDataWriter.
- In the resulting Select Metadata menu for the UniversalDataWriter, choose the Customer table. (You can also open this menu by right-clicking the input port for the UniversalDataWriter.)
- Click Run to write to the file.