rdblue commented on code in PR #5929:
URL: https://github.com/apache/iceberg/pull/5929#discussion_r989537398
##########
python/tests/table/test_partitioning.py:
##########
@@ -102,3 +109,16 @@ def test_deserialize_partition_spec():
PartitionField(source_id=2, field_id=1001,
transform=BucketTransform(num_buckets=25), name="int_bucket"),
),
)
+
+
+def test_partition_type(table_schema_simple: Schema) -> None:
+ spec = PartitionSpec(
+ PartitionField(source_id=1, field_id=1000,
transform=TruncateTransform(width=19), name="str_truncate"),
+ PartitionField(source_id=2, field_id=1001,
transform=BucketTransform(num_buckets=25), name="int_bucket"),
+ spec_id=3,
+ )
+
+ assert spec.partition_type(table_schema_simple) == StructType(
+ NestedField(field_id=1000, name="str_truncate",
field_type=StringType(), required=True),
+ NestedField(field_id=1001, name="int_bucket",
field_type=IntegerType(), required=True),
Review Comment:
The partition fields should be optional.
* All partition transforms are required to produce `null` if the input value
is `null`, so it can happen when the source column is optional
* Partition fields may be added later, in which case not all files would
have the result field and it may be `null`
There is a case where we can guarantee that a partition field in the first
and only partition spec that uses a required source column will never be null,
but it doesn't seem worth tracking this case.
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