Configuration

Functions and classes for configuring the DataFrame execution environment, including setting the underlying TableEnvironment and managing configuration options.

DataFrameConfig

The module-level pyflink.dataframe.config is a singleton DataFrameConfig instance. Use it to set configuration options that will be applied to the underlying TableEnvironment.

DataFrameConfig()	Configuration for DataFrame operations.
DataFrameConfig.set(key, value)	Set a configuration key-value pair.
DataFrameConfig.get(key[, default])	Get a configuration value.

Environment

set_table_environment(t_env)	Set the global TableEnvironment for DataFrame operations.
get_table_environment()	Get the currently set global TableEnvironment.
get_or_create_table_environment()	Return the global TableEnvironment, creating and storing one if needed.