Table API User's Guide

This documentation is for an out-of-date version of Apache Flink. We recommend you use the latest stable version.

Python Table API allows users to develop Table API programs using the Python language. Apache Flink has provided Python Table API support since 1.9.0.

Where to go next?

Installation: Introduction of how to set up the Python Table API execution environment.
Python Data Types: Introduction of Python data types.
User-defined Functions: Explanation of how to define Python user-defined functions.
Vectorized User-defined Functions: Explanation of how to define vectorized Python user-defined functions.
Conversions between PyFlink Table and Pandas DataFrame: Explanation of how to convert between PyFlink Table and Pandas DataFrame.
Dependency Management: Specification of how to use third-part dependencies in a Python Table API program.
Configuration: Description of the config options available for Python Table API programs.
Common Questions