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Using the CData ODBC Driver for HBase in PyCharm

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

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 HBase 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 HBase 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 HBase

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 Port and Server to connect to Apache HBase.

Below is the syntax for a DSN:

[CData ApacheHBase Source] Driver = CData ODBC Driver for HBase Description = My Description Server = 127.0.0.1 Port = 8080

Execute SQL to HBase

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 ApacheHBase};Server = 127.0.0.1;Port = 8080;') cursor = cnxn.cursor() cursor.execute("SELECT CustomerName, Price FROM Customers WHERE ShipCity = 'New York'") rows = cursor.fetchall() for row in rows: print(row.CustomerName, row.Price)

After connecting to HBase in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to HBase 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.