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The CData ODBC Drivers can be used in any environment that supports loading an ODBC Driver. In this tutorial we will explore using the CData ODBC Driver for Presto from within PyCharm. Included are steps for adding the CData ODBC Driver as a data source, as well as basic PyCharm code to query the data source and display results.
To begin, this tutorial will assume that you have already installed the CData ODBC Driver for Presto as well as PyCharm.
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.
Follow the steps below to add the pyodbc module to your project.
You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.
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:
Below is the syntax for a DSN:
[CData Presto Source] Driver = CData ODBC Driver for Presto Description = My Description Server = 127.0.0.1 Port = 8080
Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.
import pyodbc
cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for Presto};Server = 127.0.0.1;Port = 8080;')
cursor = cnxn.cursor()
cursor.execute("SELECT FirstName, LastName FROM Customer WHERE Id = '123456789'")
rows = cursor.fetchall()
for row in rows:
print(row.FirstName, row.LastName)
After connecting to Presto in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Presto data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at [email protected].
Download a free trial of the Presto ODBC Driver to get started:
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👁 Presto IconThe Presto ODBC Driver is a powerful tool that allows you to connect with live data from Presto, directly from any applications that support ODBC connectivity.
Access Presto data like you would a database - read, write, and update Presto Tables, etc. through a standard ODBC Driver interface.