pyflink.dataframe.context.set_table_environment

set_table_environment(t_env: StreamTableEnvironment | None) → None

Set the global TableEnvironment for DataFrame operations.

This is useful in testing scenarios where you want to reuse the same TableEnvironment across multiple DataFrame creations.

Parameters:

t_env – The TableEnvironment to use globally. Pass None to reset.

Example::

>>> import pyflink.dataframe as pf
>>> # In test setup
>>> pf.set_table_environment(self.t_env)
>>> # Now from_records, from_dict will use this t_env
>>> df = pf.from_records([(1, 2)], schema=["a", "b"])
>>> # In test teardown
>>> pf.set_table_environment(None)