LucaCanali commented on code in PR #35391:
URL: https://github.com/apache/spark/pull/35391#discussion_r1567471077
##########
python/pyspark/sql/pandas/types.py:
##########
@@ -86,8 +86,15 @@ def to_arrow_type(dt: DataType) -> "pa.DataType":
elif type(dt) == DayTimeIntervalType:
arrow_type = pa.duration("us")
elif type(dt) == ArrayType:
- if type(dt.elementType) in [StructType, TimestampType]:
+ if type(dt.elementType) == TimestampType:
raise TypeError("Unsupported type in conversion to Arrow: " +
str(dt))
+ elif type(dt.elementType) == StructType:
+ if LooseVersion(pa.__version__) < LooseVersion("2.0.0"):
+ raise TypeError(
+ "Array of StructType is only supported with pyarrow 2.0.0
and above"
Review Comment:
Hi, @itholic thank you for reporting this.
I have tried to reproduce the reported issue in my environment, but I get
the expected result instead (I use Python 3.11, Spark 3.5.1, pyarrow 11). Can
you please confirm that you still have this issue?
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