Connect to Presto Data in HULFT Integrate

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 walks through connecting to Presto and moving 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.

Enable Access to Presto

To enable access to Presto data from HULFT Integrate projects:

1. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.presto.jar (and cdata.jdbc.presto.lic), to the jdbc_adapter subfolder for the Integrate Server
2. Restart the HULFT Integrate Server and launch HULFT Integrate Studio

Build a Project with Access to Presto Data

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.

1. Name the project
2. Ensure the "Create script" checkbox is checked
3. Click Next
4. Name the script (e.g.: PrestotoCSV)

Once you create the project, add components to the script to copy Presto data to a CSV file.

Configure an Execute Select SQL Component

Drag an "Execute Select SQL" component from the Tool Palette (Database -> JDBC) into the Script workspace.

1. In the "Required settings" tab for the Destination, click "Add" to create a new connection for Presto. Set the following properties:
   • Name: Presto Connection Settings
   • Driver class name: cdata.jdbc.presto.PrestoDriver
   • URL: jdbc:presto:Server=127.0.0.1;Port=8080;
     
     

     Built-in Connection String Designer

     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.

     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.
2. Write your SQL statement. For example:

   SELECT FirstName, LastName FROM Customer

3. Click "Extraction test" to ensure the connection and query are configured properly
4. Click "Execute SQL statement and set output schema"
5. Click "Finish"

Configure a Write CSV File Component

Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.

1. Set a file to write the query results to (e.g. Customer.csv)
2. Set "Input data" to the "Select SQL" component
3. Add columns for each field selected in the SQL query
4. In the "Write settings" tab, check the checkbox to "Insert column names into first row"
5. Click "Finish"

Map Presto Fields to the CSV Columns

Map each column from the "Select" component to the corresponding column for the "CSV" component.

Finish the Script

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.

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.