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

Access HDFS data like you would a database - read, write, and update HDFS HDFSData, etc. through a standard ODBC Driver interface.

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Using the CData ODBC Driver for HDFS in PyCharm


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

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 HDFS 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 HDFS 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 HDFS

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.

In order to authenticate, set the following connection properties:

  • Host: Set this value to the host of your HDFS installation.
  • Port: Set this value to the port of your HDFS installation. Default port: 50070

Below is the syntax for a DSN:

[CData HDFS Source] Driver = CData ODBC Driver for HDFS Description = My Description Host = sandbox-hdp.hortonworks.com Port = 50070 Path = /user/root User = root

Execute SQL to HDFS

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 HDFS};Host = sandbox-hdp.hortonworks.com;Port = 50070;Path = /user/root;User = root;') cursor = cnxn.cursor() cursor.execute("SELECT FileId, ChildrenNum FROM Files WHERE FileId = '119116'") rows = cursor.fetchall() for row in rows: print(row.FileId, row.ChildrenNum)

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