syun64 commented on code in PR #921:
URL: https://github.com/apache/iceberg-python/pull/921#discussion_r1678639461
##########
pyiceberg/io/pyarrow.py:
##########
@@ -1549,9 +1552,16 @@ def __init__(self, iceberg_type: PrimitiveType,
physical_type_string: str, trunc
expected_physical_type = _primitive_to_physical(iceberg_type)
if expected_physical_type != physical_type_string:
- raise ValueError(
- f"Unexpected physical type {physical_type_string} for
{iceberg_type}, expected {expected_physical_type}"
- )
+ # Allow promotable physical types
+ # INT32 -> INT64 and FLOAT -> DOUBLE are safe type casts
+ if (physical_type_string == "INT32" and expected_physical_type ==
"INT64") or (
+ physical_type_string == "FLOAT" and expected_physical_type ==
"DOUBLE"
Review Comment:
I've put in this logic to allow StatsAggregator to collect stats for files
that are added through `add_files` that have file field types that map to
broader Iceberg Schema types. This feels overly specific, and I feel as though
I am duplicating the type
[promote](https://github.com/apache/iceberg-python/blob/e27cd9095503cfe9fa7e0a806ba25d42920c68c5/pyiceberg/schema.py#L1551)
mappings in a different format. I'm open to other ideas if we want to keep
this check on the parquet physical types.
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