Connecting to Parquet

For information on the available WHL and TAR.GZ files for supported environments, and how to install the appropriate file for your Python distribution, see Package Installation.

For information on the module to import, and how to configure the necessary connection properties in a connection string, see Establishing a Connection.

Other available connection properties can be used to configure other aspects of the connector capabilities.

Python Version Support

The CData Python Connector for Parquet can be installed and used in various Python 3.8, 3.9, 3.10, and 3.11 distributions.

Parquet Version Support

The connector leverages the Apache Parquet API V2.0. The connector supports following compression encodings when parsing Parquet files: ZSTD, Gzip, Snappy, uncompressed.

See Also

• Using the Connector: Establish connections and query Parquet through Python code.
• From SQLAlchemy: Use SQLAlchemy to establish a connection with dialect URL, and interact with Parquet data using mapped classes and Sessions.