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Apache Hive Icon Apache Hive ODBC Driver

The Hive ODBC Driver is a powerful tool that allows you to connect with Apache Hive, directly from any applications that support ODBC connectivity.

The Driver maps SQL to HiveQL, enabling direct standard SQL-92 access to Apache Hive.

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Using the CData ODBC Driver for Hive in PyCharm


Connect to Hive as an ODBC data source in PyCharm using the CData ODBC Driver for Hive.

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 Hive 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 Hive as well as PyCharm.

Add Pyodbc to the Project

Follow the steps below to add the pyodbc module to your project.

  1. Click File -> Settings to open the project settings window.
  2. Click Project Interpreter from the Project: YourProjectName menu.
  3. To add pyodbc, click the + button and enter pyodbc.
  4. Click Install Package to install pyodbc.

Connect to Hive

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, Port, TransportMode, and AuthScheme connection properties to connect to Hive.

Below is the syntax for a DSN:

[CData ApacheHive Source] Driver = CData ODBC Driver for Hive Description = My Description Server = 127.0.0.1 Port = 10000 TransportMode = BINARY

Execute SQL to Hive

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 ApacheHive};Server = 127.0.0.1;Port = 10000;TransportMode = BINARY;') cursor = cnxn.cursor() cursor.execute("SELECT City, CompanyName FROM Customers WHERE Country = 'US'") rows = cursor.fetchall() for row in rows: print(row.City, row.CompanyName)

After connecting to Hive in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Hive data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at support@cdata.com.