Using the CData ODBC Driver for Avro in PyCharm

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Avro ODBC Driver

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

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



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

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 Avro 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 Avro 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 Avro

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.

Connect to your local Avro file(s) by setting the URI connection property to the location of the Avro file.

Below is the syntax for a DSN:

[CData Avro Source] Driver = CData ODBC Driver for Avro Description = My Description URI = C:/folder/table.avro

Execute SQL to Avro

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 Avro};URI = C:/folder/table.avro') cursor = cnxn.cursor() cursor.execute("SELECT Id, Column1 FROM SampleTable_1 WHERE Column2 = 'value_2'") rows = cursor.fetchall() for row in rows: print(row.Id, row.Column1)

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