ianmcook commented on code in PR #46529:
URL: https://github.com/apache/spark/pull/46529#discussion_r1608272363
##########
python/pyspark/sql/pandas/types.py:
##########
@@ -174,6 +257,18 @@ def from_arrow_type(at: "pa.DataType",
prefer_timestamp_ntz: bool = False) -> Da
spark_type = DayTimeIntervalType()
elif types.is_list(at):
spark_type = ArrayType(from_arrow_type(at.value_type,
prefer_timestamp_ntz))
+ elif types.is_fixed_size_list(at):
+ import pyarrow as pa
+
+ if LooseVersion(pa.__version__) < LooseVersion("14.0.0"):
Review Comment:
In PySpark 4.0, the minimum PyArrow version will be 10.0.0. The changes in
this PR support PyArrow versions >= 10.0.0. However this one particular edge
case requires a newer version of PyArrow. I will move this to a separate PR.
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