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

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

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Using the CData ODBC Driver for Parquet in PyCharm


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

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 Parquet 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 Parquet 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 Parquet

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 Parquet file(s) by setting the URI connection property to the location of the Parquet file.

Below is the syntax for a DSN:

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

Execute SQL to Parquet

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

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