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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 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.
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.
In order to authenticate, set the following connection properties:
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
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 [email protected].
Download a free trial of the HDFS ODBC Driver to get started:
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👁 HDFS IconThe 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.