jqin61 commented on code in PR #931:
URL: https://github.com/apache/iceberg-python/pull/931#discussion_r1684836325
##########
pyiceberg/table/__init__.py:
##########
@@ -502,6 +503,73 @@ def append(self, df: pa.Table, snapshot_properties:
Dict[str, str] = EMPTY_DICT)
for data_file in data_files:
append_files.append_data_file(data_file)
+ def _build_partition_predicate(self, partition_records: List[Record]) ->
BooleanExpression:
+ partition_spec = self.table_metadata.spec()
+ schema = self.table_metadata.schema()
+ partition_fields = [schema.find_field(field.source_id).name for field
in partition_spec.fields]
+
+ expr: BooleanExpression = AlwaysFalse()
+ for partition_record in partition_records:
+ match_partition_expression: BooleanExpression = AlwaysTrue()
+
+ for pos in range(len(partition_fields)):
+ predicate = (
+ EqualTo(Reference(partition_fields[pos]),
partition_record[pos])
+ if partition_record[pos] is not None
+ else IsNull(Reference(partition_fields[pos]))
+ )
+ match_partition_expression = And(match_partition_expression,
predicate)
+ expr = Or(expr, match_partition_expression)
+ return expr
+
+ def dynamic_overwrite(self, df: pa.Table, snapshot_properties: Dict[str,
str] = EMPTY_DICT) -> None:
+ """
+ Shorthand for adding a table dynamic overwrite with a PyArrow table to
the transaction.
+
+ Args:
+ df: The Arrow dataframe that will be used to overwrite the table
+ snapshot_properties: Custom properties to be added to the snapshot
summary
+ """
+ try:
+ import pyarrow as pa
+ except ModuleNotFoundError as e:
+ raise ModuleNotFoundError("For writes PyArrow needs to be
installed") from e
+
+ if not isinstance(df, pa.Table):
+ raise ValueError(f"Expected PyArrow table, got: {df}")
+
+ if self.table_metadata.spec().is_unpartitioned():
+ raise ValueError("Cannot apply dynamic overwrite on an
unpartitioned table.")
+
+ _check_schema_compatible(self._table.schema(), other_schema=df.schema)
+
+ # If dataframe does not have data, there is no need to overwrite
+ if df.shape[0] == 0:
+ return
+
+ append_snapshot_commit_uuid = uuid.uuid4()
+ data_files: List[DataFile] = list(
+ _dataframe_to_data_files(
+ table_metadata=self._table.metadata,
write_uuid=append_snapshot_commit_uuid, df=df, io=self._table.io
+ )
+ )
+ with
self.update_snapshot(snapshot_properties=snapshot_properties).delete() as
delete_snapshot:
+ deleted_partitions = [data_file.partition for data_file in
data_files]
+ delete_filter =
self._build_partition_predicate(partition_records=deleted_partitions)
+ delete_snapshot.delete_by_predicate(delete_filter)
Review Comment:
Yes it is a no-op. No commit is generated.
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