kosiew commented on code in PR #1184: URL: https://github.com/apache/datafusion-python/pull/1184#discussion_r2194093566
########## python/tests/test_dataframe.py: ########## @@ -400,7 +400,6 @@ def test_unnest_without_nulls(nested_df): assert result.column(1) == pa.array([7, 8, 8, 9, 9, 9]) Review Comment: It would be good if new tests for keep_duplicate_keys=False or True were added. To ensure coverage, add tests verifying that passing keep_duplicate_keys=True preserves both columns. ########## python/datafusion/dataframe.py: ########## @@ -678,6 +681,7 @@ def join( left_on: str | Sequence[str] | None = None, right_on: str | Sequence[str] | None = None, join_keys: tuple[list[str], list[str]] | None = None, + keep_duplicate_keys: bool = False, Review Comment: The name keep_duplicate_keys is somewhat confusing: it drops the right-side keys when False. A more direct name like drop_duplicate_keys: bool = False (default) or deduplicate: bool = False may better express intent. Additionally, in many DataFrame libraries (Pandas, PySpark), the term suffixes or indicator is used for duplicate‐column handling. Consider whether a suffix‐based approach (with default ('', '_right')) could be more familiar to users than a boolean drop flag. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: github-unsubscr...@datafusion.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: github-unsubscr...@datafusion.apache.org For additional commands, e-mail: github-h...@datafusion.apache.org