mattmartin14 commented on code in PR #1534:
URL: https://github.com/apache/iceberg-python/pull/1534#discussion_r1933908403
##########
pyiceberg/table/__init__.py:
##########
@@ -1064,6 +1064,125 @@ def name_mapping(self) -> Optional[NameMapping]:
"""Return the table's field-id NameMapping."""
return self.metadata.name_mapping()
+ def merge_rows(self, df: pa.Table, join_cols: list
+ ,merge_options: dict = {'when_matched_update_all': True,
'when_not_matched_insert_all': True}
+ ) -> Dict:
+ """
+ Shorthand API for performing an upsert/merge to an iceberg table.
+
+ Args:
+ df: The input dataframe to merge with the table's data.
+ join_cols: The columns to join on.
Review Comment:
I think the join columns need to be provided in order to run a proper merge
statement; from what i've seen, you cannot indicate a primary key on an iceberg
table; thus the user would need to supply what you should match rows on.
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